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Anastassios G. Pittas, Joseph Lau, Frank B. Hu, Bess Dawson-Hughes, The Role of Vitamin D and Calcium in Type 2 Diabetes. A Systematic Review and Meta-Analysis, The Journal of Clinical Endocrinology & Metabolism, Volume 92, Issue 6, 1 June 2007, Pages 2017–2029, https://doi.org/10.1210/jc.2007-0298
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Abstract
Context: Altered vitamin D and calcium homeostasis may play a role in the development of type 2 diabetes mellitus (type 2 DM).
Evidence Acquisition and Analyses: MEDLINE review was conducted through January 2007 for observational studies and clinical trials in adults with outcomes related to glucose homeostasis. When data were available to combine, meta-analyses were performed, and summary odds ratios (OR) are presented.
Evidence Synthesis: Observational studies show a relatively consistent association between low vitamin D status, calcium or dairy intake, and prevalent type 2 DM or metabolic syndrome [OR (95% confidence interval): type 2 DM prevalence, 0.36 (0.16–0.80) among nonblacks for highest vs. lowest 25-hydroxyvitamin D; metabolic syndrome prevalence, 0.71 (0.57–0.89) for highest vs. lowest dairy intake]. There are also inverse associations with incident type 2 DM or metabolic syndrome [OR (95% confidence interval): type 2 DM incidence, 0.82 (0.72–0.93) for highest vs. lowest combined vitamin D and calcium intake; 0.86 (0.79–0.93) for highest vs. lowest dairy intake]. Evidence from trials with vitamin D and/or calcium supplementation suggests that combined vitamin D and calcium supplementation may have a role in the prevention of type 2 DM only in populations at high risk (i.e. glucose intolerance). The available evidence is limited because most observational studies are cross-sectional and did not adjust for important confounders, whereas intervention studies were short in duration, included few subjects, used a variety of formulations of vitamin D and calcium, or did post hoc analyses.
Conclusions: Vitamin D and calcium insufficiency may negatively influence glycemia, whereas combined supplementation with both nutrients may be beneficial in optimizing glucose metabolism.
THE INCIDENCE OF type 2 diabetes mellitus (type 2 DM) is increasing at an alarming rate both nationally and worldwide, with more than 1 million new cases per year diagnosed in the United States alone (1). Diabetes is the fifth leading cause of death in the United States, and it is also a major cause of significant morbidity. Although our current methods of treating type 2 DM and its complications have improved, prevention of the disease is preferable. Indeed, epidemiological data suggest that nine of 10 cases of type 2 DM could be attributed to habits and forms of modifiable behavior (2). Potentially modifiable environmental risk factors for type 2 DM have been identified, the major one being obesity. Although weight loss (achieved by any means) has been shown to be successful in delaying type 2 DM, it is difficult to achieve and maintain long term. Therefore, identification of environmental and easily modified risk factors is urgently needed to prevent development of type 2 DM in the 41 million Americans who are at risk of the disease (3).
The major and most well-known function of vitamin D is to maintain calcium and phosphorus homeostasis and promote bone mineralization. However, recent evidence suggests that vitamin D and calcium homeostasis may also be important for a variety of nonskeletal outcomes including neuromuscular function and falls, psoriasis, multiple sclerosis, and colorectal and prostate cancer (4, 5). Based on basic and animal studies, vitamin D and calcium have also been suspected as modifiers of diabetes risk. Vitamin D insufficiency has long been suspected as a risk factor for type 1 diabetes based on animal and human observational studies (6). More recently, there is accumulating evidence to suggest that altered vitamin D and calcium homeostasis may also play a role in the development of type 2 DM. The purpose of our systematic review was to examine: 1) the association between vitamin D and calcium status and risk of type 2 DM; and 2) the effect of vitamin D and/or calcium supplementation on glucose metabolism.
Materials and Methods
We searched MEDLINE for English-language literature through January 2007 for observational studies on the association between vitamin D/calcium status (defined by serum 25-hydroxyvitamin D (25-OHD) concentration, and vitamin D, calcium, or dairy intake) and type 2 DM (prevalence or incidence) and for randomized controlled trials of the effect of vitamin D and/or calcium supplementation in nonpregnant adults on outcomes related to glucose homeostasis. We also examined metabolic syndrome (prevalence or incidence) as an outcome of interest, given that insulin resistance, a feature of type 2 DM, is considered to be a central mechanism underlying the metabolic syndrome. Search terms included diabetes, hyperglycemia, glucose, glycohemoglobin, metabolic syndrome, insulin resistance, homa, homeostasis model assessment, β-cell function, insulin secretion, vitamin D, calcium, dairy, milk and related terms. Additional publications were identified from citations from the recovered articles, review articles, and personal reference lists. We excluded letters, abstracts, and conference proceedings that were not published in full in peer-reviewed journals (7). We excluded studies in children because insulin dynamics are evolving during childhood, especially during puberty (8, 9). We excluded studies of type 1 diabetes (or insulin-requiring diabetes of unclear type), hemodialysis, hyperparathyroidism, and other conditions or medications that affect vitamin D metabolism (e.g. epilepsy). Qualitative synthesis of available data were performed due to the large heterogeneity in the methods for assessing outcomes among the studies. However, when data were available to combine, meta-analyses using a random-effects model (10) were performed, and summary odds ratios (OR) are presented. For certain studies that reported a confidence interval (CI) that was asymmetric around the mean, we used a conservative approach and included in the meta-analysis the widest CI reported.
Potential Mechanisms for the Effects of Vitamin D and Calcium on Type 2 DM
For glucose intolerance and type 2 DM to develop, defects in pancreatic β-cell function, insulin sensitivity, and systemic inflammation are often present (11, 12). There is evidence that vitamin D and calcium influence these mechanisms, as summarized next and in Table 1.
Mechanisms . | Evidence . |
---|---|
Improvement in pancreatic β-cell function | |
Direct effect of vitamin D on insulin secretion | Presence of specific vitamin D receptors in pancreatic β-cells (94 ) |
Expression of 1-α-hydroxylase enzyme in pancreatic β-cells (15 ) | |
Impaired insulin secretory response in mice lacking functional vitamin D receptors (14 ) | |
Presence of the vitamin D response element in the human insulin gene promoter (95 ) | |
Transcriptional activation of the human insulin gene by 1,25-OHD (96 ) | |
Vitamin D deficiency impairs glucose-mediated insulin secretion from rat pancreatic β-cells in vitro (13, 97, 98, 99 ) and in vivo (100, 101 ) | |
Supplementation with vitamin D restores insulin secretion in animals (13, 97, 99, 100, 102 ) | |
Indirect effect of vitamin D on insulin secretion | Vitamin D contributes to normalization of extracellular calcium, ensuring normal calcium flux through cell membranes and adequate [Ca2+]i pool |
Regulation of calcium flux and [Ca2+]i in the pancreatic β-cell via regulation of calbindin, a cytosolic calcium-binding protein (103 ) | |
Calcium effect on insulin secretion | Alterations in calcium flux can have adverse effects on insulin secretion, a calcium-dependent process (16 ) |
Calcium repletion alone normalized glucose tolerance and insulin secretion in vitamin D-depleted rats (104 ) | |
In people without diabetes, hypocalcemia is associated with impairment of insulin release (105, 106 ) | |
In diabetes patients, an oral calcium load augments glucose-induced insulin secretion (107 ) | |
Patients with resistance to 1,25-OHD were found to have abnormal insulin secretion only if they were hypocalcemic (108 ) | |
Improvement in insulin action | |
Direct effect of vitamin D on insulin action | Inverse association between 25-OHD levels and sarcopenia (109 ) |
Presence of vitamin D receptor in skeletal muscle (110 ) | |
Vitamin D stimulates the expression of insulin receptor and enhances insulin responsiveness for glucose transport in vitro (26 ) | |
Vitamin D directly activates peroxisome proliferator activator receptor-δ (111 ), a transcription factor implicated in the regulation of fatty acid metabolism in skeletal muscle and adipose tissue (112 ) | |
Indirect effect of vitamin D on insulin action | Vitamin D contributes to normalization of extracellular calcium, ensuring normal calcium influx through cell membranes and adequate [Ca2+]i pool |
Calcium effect on insulin action | Calcium is essential for insulin-mediated intracellular processes in insulin-responsive tissues such as skeletal muscle and adipose tissue (27, 28, 29 ) with a very narrow range of [Ca2+]i needed for optimal insulin-mediated functions (30 ) |
Changes in [Ca2+]i in primary insulin target tissues contributes to alterations in insulin action (30, 31, 32, 33, 34, 35, 36, 37 ) | |
Impairment of insulin receptor phosphorylation, a calcium-dependent process (113 ) leading to impaired insulin signal transduction (29, 34 ) and decreased glucose transporter-4 activity (34, 38 ) | |
Changes in [Ca2+]i modulate adipocyte metabolism, which may promote triglyceride accumulation via increased de novo lipogenesis and inability to suppress insulin-mediated lipolysis leading to fat accumulation (114, 115 ) | |
Patients with type 2 DM exhibit impaired cellular calcium homeostasis including defects in skeletal muscle, adipocytes, and liver (116 ) | |
Improvement in systemic inflammation | |
Effects of vitamin D on cytokines | Vitamin D interacts with vitamin D response elements in the promoter region of cytokine genes to interfere with nuclear transcription factors implicated in cytokine generation and action (117, 118, 119 ) |
Vitamin D can down-regulate activation of nuclear factor-κB (117, 119, 120 ), which is an important regulator of genes encoding proinflammatory cytokines implicated in insulin resistance (121 ) | |
Vitamin D interferes with cytokine generation by up-regulating expression of calbindin (94, 122, 123 ), a cytosolic calcium-binding protein found in many tissues including pancreatic β-cells (94, 123 ). Calbindin has been shown to protect against cytokine-induced apoptosis that may occur after a rise in cytosolic free calcium [Ca2+]I (124 ). | |
Effects of calcium on cytokines | Changes in [Ca2+]i may lead to cytokine-induced apoptosis (85 ) |
Mechanisms . | Evidence . |
---|---|
Improvement in pancreatic β-cell function | |
Direct effect of vitamin D on insulin secretion | Presence of specific vitamin D receptors in pancreatic β-cells (94 ) |
Expression of 1-α-hydroxylase enzyme in pancreatic β-cells (15 ) | |
Impaired insulin secretory response in mice lacking functional vitamin D receptors (14 ) | |
Presence of the vitamin D response element in the human insulin gene promoter (95 ) | |
Transcriptional activation of the human insulin gene by 1,25-OHD (96 ) | |
Vitamin D deficiency impairs glucose-mediated insulin secretion from rat pancreatic β-cells in vitro (13, 97, 98, 99 ) and in vivo (100, 101 ) | |
Supplementation with vitamin D restores insulin secretion in animals (13, 97, 99, 100, 102 ) | |
Indirect effect of vitamin D on insulin secretion | Vitamin D contributes to normalization of extracellular calcium, ensuring normal calcium flux through cell membranes and adequate [Ca2+]i pool |
Regulation of calcium flux and [Ca2+]i in the pancreatic β-cell via regulation of calbindin, a cytosolic calcium-binding protein (103 ) | |
Calcium effect on insulin secretion | Alterations in calcium flux can have adverse effects on insulin secretion, a calcium-dependent process (16 ) |
Calcium repletion alone normalized glucose tolerance and insulin secretion in vitamin D-depleted rats (104 ) | |
In people without diabetes, hypocalcemia is associated with impairment of insulin release (105, 106 ) | |
In diabetes patients, an oral calcium load augments glucose-induced insulin secretion (107 ) | |
Patients with resistance to 1,25-OHD were found to have abnormal insulin secretion only if they were hypocalcemic (108 ) | |
Improvement in insulin action | |
Direct effect of vitamin D on insulin action | Inverse association between 25-OHD levels and sarcopenia (109 ) |
Presence of vitamin D receptor in skeletal muscle (110 ) | |
Vitamin D stimulates the expression of insulin receptor and enhances insulin responsiveness for glucose transport in vitro (26 ) | |
Vitamin D directly activates peroxisome proliferator activator receptor-δ (111 ), a transcription factor implicated in the regulation of fatty acid metabolism in skeletal muscle and adipose tissue (112 ) | |
Indirect effect of vitamin D on insulin action | Vitamin D contributes to normalization of extracellular calcium, ensuring normal calcium influx through cell membranes and adequate [Ca2+]i pool |
Calcium effect on insulin action | Calcium is essential for insulin-mediated intracellular processes in insulin-responsive tissues such as skeletal muscle and adipose tissue (27, 28, 29 ) with a very narrow range of [Ca2+]i needed for optimal insulin-mediated functions (30 ) |
Changes in [Ca2+]i in primary insulin target tissues contributes to alterations in insulin action (30, 31, 32, 33, 34, 35, 36, 37 ) | |
Impairment of insulin receptor phosphorylation, a calcium-dependent process (113 ) leading to impaired insulin signal transduction (29, 34 ) and decreased glucose transporter-4 activity (34, 38 ) | |
Changes in [Ca2+]i modulate adipocyte metabolism, which may promote triglyceride accumulation via increased de novo lipogenesis and inability to suppress insulin-mediated lipolysis leading to fat accumulation (114, 115 ) | |
Patients with type 2 DM exhibit impaired cellular calcium homeostasis including defects in skeletal muscle, adipocytes, and liver (116 ) | |
Improvement in systemic inflammation | |
Effects of vitamin D on cytokines | Vitamin D interacts with vitamin D response elements in the promoter region of cytokine genes to interfere with nuclear transcription factors implicated in cytokine generation and action (117, 118, 119 ) |
Vitamin D can down-regulate activation of nuclear factor-κB (117, 119, 120 ), which is an important regulator of genes encoding proinflammatory cytokines implicated in insulin resistance (121 ) | |
Vitamin D interferes with cytokine generation by up-regulating expression of calbindin (94, 122, 123 ), a cytosolic calcium-binding protein found in many tissues including pancreatic β-cells (94, 123 ). Calbindin has been shown to protect against cytokine-induced apoptosis that may occur after a rise in cytosolic free calcium [Ca2+]I (124 ). | |
Effects of calcium on cytokines | Changes in [Ca2+]i may lead to cytokine-induced apoptosis (85 ) |
Mechanisms . | Evidence . |
---|---|
Improvement in pancreatic β-cell function | |
Direct effect of vitamin D on insulin secretion | Presence of specific vitamin D receptors in pancreatic β-cells (94 ) |
Expression of 1-α-hydroxylase enzyme in pancreatic β-cells (15 ) | |
Impaired insulin secretory response in mice lacking functional vitamin D receptors (14 ) | |
Presence of the vitamin D response element in the human insulin gene promoter (95 ) | |
Transcriptional activation of the human insulin gene by 1,25-OHD (96 ) | |
Vitamin D deficiency impairs glucose-mediated insulin secretion from rat pancreatic β-cells in vitro (13, 97, 98, 99 ) and in vivo (100, 101 ) | |
Supplementation with vitamin D restores insulin secretion in animals (13, 97, 99, 100, 102 ) | |
Indirect effect of vitamin D on insulin secretion | Vitamin D contributes to normalization of extracellular calcium, ensuring normal calcium flux through cell membranes and adequate [Ca2+]i pool |
Regulation of calcium flux and [Ca2+]i in the pancreatic β-cell via regulation of calbindin, a cytosolic calcium-binding protein (103 ) | |
Calcium effect on insulin secretion | Alterations in calcium flux can have adverse effects on insulin secretion, a calcium-dependent process (16 ) |
Calcium repletion alone normalized glucose tolerance and insulin secretion in vitamin D-depleted rats (104 ) | |
In people without diabetes, hypocalcemia is associated with impairment of insulin release (105, 106 ) | |
In diabetes patients, an oral calcium load augments glucose-induced insulin secretion (107 ) | |
Patients with resistance to 1,25-OHD were found to have abnormal insulin secretion only if they were hypocalcemic (108 ) | |
Improvement in insulin action | |
Direct effect of vitamin D on insulin action | Inverse association between 25-OHD levels and sarcopenia (109 ) |
Presence of vitamin D receptor in skeletal muscle (110 ) | |
Vitamin D stimulates the expression of insulin receptor and enhances insulin responsiveness for glucose transport in vitro (26 ) | |
Vitamin D directly activates peroxisome proliferator activator receptor-δ (111 ), a transcription factor implicated in the regulation of fatty acid metabolism in skeletal muscle and adipose tissue (112 ) | |
Indirect effect of vitamin D on insulin action | Vitamin D contributes to normalization of extracellular calcium, ensuring normal calcium influx through cell membranes and adequate [Ca2+]i pool |
Calcium effect on insulin action | Calcium is essential for insulin-mediated intracellular processes in insulin-responsive tissues such as skeletal muscle and adipose tissue (27, 28, 29 ) with a very narrow range of [Ca2+]i needed for optimal insulin-mediated functions (30 ) |
Changes in [Ca2+]i in primary insulin target tissues contributes to alterations in insulin action (30, 31, 32, 33, 34, 35, 36, 37 ) | |
Impairment of insulin receptor phosphorylation, a calcium-dependent process (113 ) leading to impaired insulin signal transduction (29, 34 ) and decreased glucose transporter-4 activity (34, 38 ) | |
Changes in [Ca2+]i modulate adipocyte metabolism, which may promote triglyceride accumulation via increased de novo lipogenesis and inability to suppress insulin-mediated lipolysis leading to fat accumulation (114, 115 ) | |
Patients with type 2 DM exhibit impaired cellular calcium homeostasis including defects in skeletal muscle, adipocytes, and liver (116 ) | |
Improvement in systemic inflammation | |
Effects of vitamin D on cytokines | Vitamin D interacts with vitamin D response elements in the promoter region of cytokine genes to interfere with nuclear transcription factors implicated in cytokine generation and action (117, 118, 119 ) |
Vitamin D can down-regulate activation of nuclear factor-κB (117, 119, 120 ), which is an important regulator of genes encoding proinflammatory cytokines implicated in insulin resistance (121 ) | |
Vitamin D interferes with cytokine generation by up-regulating expression of calbindin (94, 122, 123 ), a cytosolic calcium-binding protein found in many tissues including pancreatic β-cells (94, 123 ). Calbindin has been shown to protect against cytokine-induced apoptosis that may occur after a rise in cytosolic free calcium [Ca2+]I (124 ). | |
Effects of calcium on cytokines | Changes in [Ca2+]i may lead to cytokine-induced apoptosis (85 ) |
Mechanisms . | Evidence . |
---|---|
Improvement in pancreatic β-cell function | |
Direct effect of vitamin D on insulin secretion | Presence of specific vitamin D receptors in pancreatic β-cells (94 ) |
Expression of 1-α-hydroxylase enzyme in pancreatic β-cells (15 ) | |
Impaired insulin secretory response in mice lacking functional vitamin D receptors (14 ) | |
Presence of the vitamin D response element in the human insulin gene promoter (95 ) | |
Transcriptional activation of the human insulin gene by 1,25-OHD (96 ) | |
Vitamin D deficiency impairs glucose-mediated insulin secretion from rat pancreatic β-cells in vitro (13, 97, 98, 99 ) and in vivo (100, 101 ) | |
Supplementation with vitamin D restores insulin secretion in animals (13, 97, 99, 100, 102 ) | |
Indirect effect of vitamin D on insulin secretion | Vitamin D contributes to normalization of extracellular calcium, ensuring normal calcium flux through cell membranes and adequate [Ca2+]i pool |
Regulation of calcium flux and [Ca2+]i in the pancreatic β-cell via regulation of calbindin, a cytosolic calcium-binding protein (103 ) | |
Calcium effect on insulin secretion | Alterations in calcium flux can have adverse effects on insulin secretion, a calcium-dependent process (16 ) |
Calcium repletion alone normalized glucose tolerance and insulin secretion in vitamin D-depleted rats (104 ) | |
In people without diabetes, hypocalcemia is associated with impairment of insulin release (105, 106 ) | |
In diabetes patients, an oral calcium load augments glucose-induced insulin secretion (107 ) | |
Patients with resistance to 1,25-OHD were found to have abnormal insulin secretion only if they were hypocalcemic (108 ) | |
Improvement in insulin action | |
Direct effect of vitamin D on insulin action | Inverse association between 25-OHD levels and sarcopenia (109 ) |
Presence of vitamin D receptor in skeletal muscle (110 ) | |
Vitamin D stimulates the expression of insulin receptor and enhances insulin responsiveness for glucose transport in vitro (26 ) | |
Vitamin D directly activates peroxisome proliferator activator receptor-δ (111 ), a transcription factor implicated in the regulation of fatty acid metabolism in skeletal muscle and adipose tissue (112 ) | |
Indirect effect of vitamin D on insulin action | Vitamin D contributes to normalization of extracellular calcium, ensuring normal calcium influx through cell membranes and adequate [Ca2+]i pool |
Calcium effect on insulin action | Calcium is essential for insulin-mediated intracellular processes in insulin-responsive tissues such as skeletal muscle and adipose tissue (27, 28, 29 ) with a very narrow range of [Ca2+]i needed for optimal insulin-mediated functions (30 ) |
Changes in [Ca2+]i in primary insulin target tissues contributes to alterations in insulin action (30, 31, 32, 33, 34, 35, 36, 37 ) | |
Impairment of insulin receptor phosphorylation, a calcium-dependent process (113 ) leading to impaired insulin signal transduction (29, 34 ) and decreased glucose transporter-4 activity (34, 38 ) | |
Changes in [Ca2+]i modulate adipocyte metabolism, which may promote triglyceride accumulation via increased de novo lipogenesis and inability to suppress insulin-mediated lipolysis leading to fat accumulation (114, 115 ) | |
Patients with type 2 DM exhibit impaired cellular calcium homeostasis including defects in skeletal muscle, adipocytes, and liver (116 ) | |
Improvement in systemic inflammation | |
Effects of vitamin D on cytokines | Vitamin D interacts with vitamin D response elements in the promoter region of cytokine genes to interfere with nuclear transcription factors implicated in cytokine generation and action (117, 118, 119 ) |
Vitamin D can down-regulate activation of nuclear factor-κB (117, 119, 120 ), which is an important regulator of genes encoding proinflammatory cytokines implicated in insulin resistance (121 ) | |
Vitamin D interferes with cytokine generation by up-regulating expression of calbindin (94, 122, 123 ), a cytosolic calcium-binding protein found in many tissues including pancreatic β-cells (94, 123 ). Calbindin has been shown to protect against cytokine-induced apoptosis that may occur after a rise in cytosolic free calcium [Ca2+]I (124 ). | |
Effects of calcium on cytokines | Changes in [Ca2+]i may lead to cytokine-induced apoptosis (85 ) |
Pancreatic β-cell function
There are several lines of evidence supporting a role for vitamin D in pancreatic β-cell function, as shown in Table 1. Vitamin D appears to affect exclusively the insulin response to glucose stimulation, whereas it does not appear to influence basal insulinemia (13, 14). The direct effect of vitamin D may be mediated by binding of its circulating active from, 1,25-OHD, to the β-cell vitamin D receptor. Alternatively, activation of vitamin D may occur within the β-cell by the 1-α-hydroxylase enzyme, which was recently shown to be expressed in β-cells (15). The indirect effects of vitamin D may be mediated via its important and well-recognized role in regulating extracellular calcium and calcium flux through the β-cell (Table 1). Insulin secretion is a calcium-dependent process (16); therefore, alterations in calcium flux can have adverse effects on β-cell secretory function. We speculate that inadequate calcium intake or vitamin D insufficiency may alter the balance between the extracellular and intracellular β-cell calcium pools, which may interfere with normal insulin release, especially in response to a glucose load. Some (17–21), but not all (22, 23), studies in several cohorts with varied baseline vitamin D status have reported an association between vitamin D deficiency and impaired glucose-mediated insulin release. Vitamin D supplementation improved insulin release in some (17, 21, 23, 24), but not all (21, 23, 25), small-scale short-term randomized trials.
Insulin resistance
Vitamin D may have a beneficial effect on insulin action either directly, by stimulating the expression of insulin receptor and thereby enhancing insulin responsiveness for glucose transport (26), or indirectly via its role in regulating extracellular calcium and ensuring normal calcium influx through cell membranes and adequate intracellular cytosolic calcium [Ca2+]i pool (Table 1). Calcium is essential for insulin-mediated intracellular processes in insulin-responsive tissues such as skeletal muscle and adipose tissue (27–29), with a very narrow range of [Ca2+]i needed for optimal insulin-mediated functions (30). Changes in [Ca2+]i in primary insulin target tissues may contribute to peripheral insulin resistance (30–37) via impaired insulin signal transduction (29, 34), leading to decreased glucose transporter-4 activity (34, 38). Associations between low vitamin D level and decreased insulin sensitivity have been reported in cross-sectional studies (18–23, 39, 40). Some (19, 40), but not all (23), observational studies have shown an inverse association between vitamin D or calcium status and insulin resistance. Results from randomized trials on the effect of vitamin D and/or calcium supplementation on insulin resistance show either no effect (23, 41–45) or improvement (46–48) of insulin action with supplementation.
Inflammation
It is currently recognized that type 2 DM is associated with systemic inflammation (12, 49, 50). Systemic inflammation has been linked primarily to insulin resistance, but elevated cytokines may also play a role in β-cell dysfunction by triggering β-cell apoptosis. Vitamin D may improve insulin sensitivity and promote β-cell survival by directly modulating the generation and effects of cytokines (Table 1). There are very limited and conflicting data from human studies that have directly examined the relationship between vitamin D or calcium status and systemic inflammation in relation to type 2 DM (48, 51–53).
Evidence from Observational Human Studies
What is the association between vitamin D status and prevalent type 2 DM or metabolic syndrome?
The role of vitamin D in type 2 DM is suggested by a seasonal variation in glycemic control reported in patients with type 2 DM being worse in the winter (54–56), which may, at least in part, be due to prevalent hypovitaminosis D in the winter. In cross-sectional studies (Table 2), inverse associations between serum 25-OHD and measurements of glycemia or presence of type 2 DM have been reported in a variety of cohorts (18, 19, 40, 57–59), but the relationship is not consistent (18, 19, 23, 40, 60, 61). In the largest cross-sectional study to date from National Health and Nutrition Examination Survey (NHANES) data, serum 25-OHD concentration (after multivariate adjustment) was inversely associated with diabetes prevalence in a dose-dependent pattern in non-Hispanic whites and Mexican-Americans (40, 57). In the same study, 25-OHD concentration also correlated with measures of insulin resistance [estimated by homeostatic model assessment (HOMA-R) based on fasting glucose and insulin levels] but did not correlate with β-cell function (estimated by HOMA-β). No correlation between 25-OHD and diabetes prevalence or measures of insulin resistance or β-cell function was seen in non-Hispanic blacks. This lack of association may be explained by the observation that nonwhites exhibit a different vitamin D, calcium, and PTH homeostasis compared with whites (62).
First author, year (Ref.) . | Sex . | Age, mean or range (yr) . | Cohort . | Outcome (assessment) . | Predictor, range, or category . | Main study results . | Adjustments . | Comments and other outcomes . |
---|---|---|---|---|---|---|---|---|
Vitamin D status (25-OHD concentration or vitamin D intake) | ||||||||
Orwoll, 1994 (23 ) | M/F | 40–70 | Non-insulin-treated type 2 DM (n = 20) | FPG | 25-OHD, NR | 25-OHD not associated with FPG | 25-OHD not associated with IR (fasting insulin) | |
Baynes, 1997 (18 ) | M | 76 | Nondiabetics (n = 142) | FPG, 2hPG | 25-OHD, 1–75 ng/ml | 25-OHD not associated with FPG or 2hPG | BMI, skinfold, exercise, smoking, alcohol | 25-OHD inversely associated with 1hPG (r =−0.2), GLUAUC(r =−0.3) |
Wareham, 1997 (60 ) | M/F | 40–65 | Nondiabetics (n = 1,057) | IGT (2hPG) | 25-OHD, <23 to >25 ng/ml | OR 1.00, 1.03 (1.01–1.05) | ||
Chiu, 2004 (19 ) | M/F | 26 | Nondiabetics (n = 126) | FPG, 2hPG | 25-OHD, 5–75 ng/ml | 25-OHD inversely associated with 1hPG, 2hPG; 25-OHD not associated with FPG | Age, sex, race, BMI, WHR, blood pressure | 25-OHD inversely associated with 1hPG, IR (clamp). 25-OHD not associated with insulin release |
Scragg, 2004 (40 ) | M/F | >20 | NHANES (n = 2,766 non-Hispanic whites) | Type 2 DM (FPG) | 25-OHD, <18 to >32 ng/ml | OR 1.00, 0.25 (0.11–0.60) | Age, sex, race, BMI, exercise, season | 25-OHD inversely associated with IR (HOMA) |
M/F | >20 | NHANES (n = 1,726 Mexican-Americans) | Type 2 DM (FPG) | 25-OHD, <18 to >32 ng/ml | OR 1.00, 0.17 (0.08–0.37) | Age, sex, race, BMI, exercise, season | 25-OHD inversely associated with IR (HOMA) | |
M/F | >20 | NHANES (n = 1,726 non-Hispanic blacks) | Type 2 DM (FPG) | 25-OHD, <18 to >32 ng/ml | OR 1.00, 3.40 (1.07–10.86) | Age, sex, race, BMI, exercise, season | ||
Ford, 2005 (57 ) | M/F | >20 | NHANES (n = 8,241) | Type 2 DM (FPG) | 25-OHD, <19 to >38 ng/ml | OR 1.00, 0.17 (0.08–0.37) | Age, sex, race, exercise, smoking, alcohol, diet, vitamin use, cholesterol, CRP, education, season | |
Need, 2005 (58 ) | F | 63 | Nondiabetics, (n = 753) | FPG | 25-OHD, NR | 25-OHD (>16 ng/ml) inversely associated with FPG | Age, BMI | |
Snijder, 2006 (61 ) | M/F | 75 | (n = 1,235) | Type 2 DM (self-report) | 25-OHD, <10 to ≥30 ng/ml | OR 1.0, 1.23 (0.50–3.02) | Age, sex, WHR, exercise, smoking, alcohol, region, season | |
Hypponen and Power, 2006 (59 ) | M/F | 45 | Caucasians (n = 7,198) | Hemoglobin A1c (%) | 25-OHD, <10 to ≥30 ng/ml | Hemoglobin A1c concentration 5.4%, 5.1% | Sex, season | Association pronounced among obese |
Chiu, 2004 (19 ) | M/F | 26 | Nondiabetics (n = 126) | Metabolic syndrome | 25-OHD, 5–75 ng/ml | 25-OHD inversely associated with metabolic syndrome | Age, sex, race, BMI, WHR, blood pressure | |
Ford, 2005 (57 ) | M/F | >20 | NHANES (n = 8,241) | Metabolic syndrome | 25-OHD, <19 to >38 ng/ml | OR 1.00, 0.46 (0.32–0.67) | Age, sex, race, exercise, smoking, alcohol, diet, vitamin use, cholesterol, CRP, education, season | |
Liu, 2005 (66 ) | F | >45 | Women’s Health Study (n = 10,066) | Metabolic syndrome | Vitamin D intake, ≤159 to ≥511 IU/d | OR 1.00, 1.05 (0.84–1.32) | Age, exercise, smoking, alcohol, vitamin use, history of myocardial infarction, calcium intake | |
Calcium intake | ||||||||
Liu, 2005 (66 ) | F | >45 | Women’s Health Study (n = 10,066) | Metabolic syndrome | Calcium intake, ≤ 610 to ≥1,284 mg/d | OR 1.00, 0.68 (0.55–0.83) | Age, exercise, smoking, alcohol, vitamin use, history of myocardial infarction, vitamin D intake | |
Dairy intake | ||||||||
Mennen, 2000 (78 ) | M | 30–64 | n = 2,439 | FPG | ≤1 to >4 servings/d | Dairy intake inversely associated with FPG | Age, WHR, energy intake | |
Azadbakht, 2005 (79 ) | M/F | 18–74 | Tehranian adults (n = 827) | IGT (FPG>110 mg/dl) | <1.7 to ≥3.1 servings/d | OR 1.00, 0.88 (0.73–1.09) | Age, sex, BMI, WHR, exercise, smoking, energy intake, calcium intake | |
Mennen, 2000 (78 ) | F | 30–64 | n = 2,537 | Metabolic syndrome | ≤1 to >4 servings/d | OR 1.00, 0.76 (0.47–2.66) | Age, WHR, energy intake | |
Mennen, 2000 (78 ) | M | 30–64 | n = 2,439 | Metabolic syndrome | ≤1 to > 4 servings/d | OR 1.00, 0.63 (0.40–0.99) | Age, WHR, energy intake | Dairy intake inversely associated with FPG (OR not provided) |
Azadbakht, 2005 (79 ) | M/F | 18–74 | Tehranian adults (n = 827) | Metabolic syndrome | <1.7 to ≥3.1 servings/d | OR 1.00, 0.82 (0.64–0.98) | Age, sex, BMI, WHR, exercise, smoking, energy intake, calcium intake | |
Liu, 2005 (66 ) | F | >45 | Women’s Health Study (n = 10,066) | Metabolic syndrome | <0.9 to >3 servings/d | OR 1.00, 0.66 (0.55–0.80) | Age, exercise, smoking, alcohol, vitamin use, history of myocardial infarction |
First author, year (Ref.) . | Sex . | Age, mean or range (yr) . | Cohort . | Outcome (assessment) . | Predictor, range, or category . | Main study results . | Adjustments . | Comments and other outcomes . |
---|---|---|---|---|---|---|---|---|
Vitamin D status (25-OHD concentration or vitamin D intake) | ||||||||
Orwoll, 1994 (23 ) | M/F | 40–70 | Non-insulin-treated type 2 DM (n = 20) | FPG | 25-OHD, NR | 25-OHD not associated with FPG | 25-OHD not associated with IR (fasting insulin) | |
Baynes, 1997 (18 ) | M | 76 | Nondiabetics (n = 142) | FPG, 2hPG | 25-OHD, 1–75 ng/ml | 25-OHD not associated with FPG or 2hPG | BMI, skinfold, exercise, smoking, alcohol | 25-OHD inversely associated with 1hPG (r =−0.2), GLUAUC(r =−0.3) |
Wareham, 1997 (60 ) | M/F | 40–65 | Nondiabetics (n = 1,057) | IGT (2hPG) | 25-OHD, <23 to >25 ng/ml | OR 1.00, 1.03 (1.01–1.05) | ||
Chiu, 2004 (19 ) | M/F | 26 | Nondiabetics (n = 126) | FPG, 2hPG | 25-OHD, 5–75 ng/ml | 25-OHD inversely associated with 1hPG, 2hPG; 25-OHD not associated with FPG | Age, sex, race, BMI, WHR, blood pressure | 25-OHD inversely associated with 1hPG, IR (clamp). 25-OHD not associated with insulin release |
Scragg, 2004 (40 ) | M/F | >20 | NHANES (n = 2,766 non-Hispanic whites) | Type 2 DM (FPG) | 25-OHD, <18 to >32 ng/ml | OR 1.00, 0.25 (0.11–0.60) | Age, sex, race, BMI, exercise, season | 25-OHD inversely associated with IR (HOMA) |
M/F | >20 | NHANES (n = 1,726 Mexican-Americans) | Type 2 DM (FPG) | 25-OHD, <18 to >32 ng/ml | OR 1.00, 0.17 (0.08–0.37) | Age, sex, race, BMI, exercise, season | 25-OHD inversely associated with IR (HOMA) | |
M/F | >20 | NHANES (n = 1,726 non-Hispanic blacks) | Type 2 DM (FPG) | 25-OHD, <18 to >32 ng/ml | OR 1.00, 3.40 (1.07–10.86) | Age, sex, race, BMI, exercise, season | ||
Ford, 2005 (57 ) | M/F | >20 | NHANES (n = 8,241) | Type 2 DM (FPG) | 25-OHD, <19 to >38 ng/ml | OR 1.00, 0.17 (0.08–0.37) | Age, sex, race, exercise, smoking, alcohol, diet, vitamin use, cholesterol, CRP, education, season | |
Need, 2005 (58 ) | F | 63 | Nondiabetics, (n = 753) | FPG | 25-OHD, NR | 25-OHD (>16 ng/ml) inversely associated with FPG | Age, BMI | |
Snijder, 2006 (61 ) | M/F | 75 | (n = 1,235) | Type 2 DM (self-report) | 25-OHD, <10 to ≥30 ng/ml | OR 1.0, 1.23 (0.50–3.02) | Age, sex, WHR, exercise, smoking, alcohol, region, season | |
Hypponen and Power, 2006 (59 ) | M/F | 45 | Caucasians (n = 7,198) | Hemoglobin A1c (%) | 25-OHD, <10 to ≥30 ng/ml | Hemoglobin A1c concentration 5.4%, 5.1% | Sex, season | Association pronounced among obese |
Chiu, 2004 (19 ) | M/F | 26 | Nondiabetics (n = 126) | Metabolic syndrome | 25-OHD, 5–75 ng/ml | 25-OHD inversely associated with metabolic syndrome | Age, sex, race, BMI, WHR, blood pressure | |
Ford, 2005 (57 ) | M/F | >20 | NHANES (n = 8,241) | Metabolic syndrome | 25-OHD, <19 to >38 ng/ml | OR 1.00, 0.46 (0.32–0.67) | Age, sex, race, exercise, smoking, alcohol, diet, vitamin use, cholesterol, CRP, education, season | |
Liu, 2005 (66 ) | F | >45 | Women’s Health Study (n = 10,066) | Metabolic syndrome | Vitamin D intake, ≤159 to ≥511 IU/d | OR 1.00, 1.05 (0.84–1.32) | Age, exercise, smoking, alcohol, vitamin use, history of myocardial infarction, calcium intake | |
Calcium intake | ||||||||
Liu, 2005 (66 ) | F | >45 | Women’s Health Study (n = 10,066) | Metabolic syndrome | Calcium intake, ≤ 610 to ≥1,284 mg/d | OR 1.00, 0.68 (0.55–0.83) | Age, exercise, smoking, alcohol, vitamin use, history of myocardial infarction, vitamin D intake | |
Dairy intake | ||||||||
Mennen, 2000 (78 ) | M | 30–64 | n = 2,439 | FPG | ≤1 to >4 servings/d | Dairy intake inversely associated with FPG | Age, WHR, energy intake | |
Azadbakht, 2005 (79 ) | M/F | 18–74 | Tehranian adults (n = 827) | IGT (FPG>110 mg/dl) | <1.7 to ≥3.1 servings/d | OR 1.00, 0.88 (0.73–1.09) | Age, sex, BMI, WHR, exercise, smoking, energy intake, calcium intake | |
Mennen, 2000 (78 ) | F | 30–64 | n = 2,537 | Metabolic syndrome | ≤1 to >4 servings/d | OR 1.00, 0.76 (0.47–2.66) | Age, WHR, energy intake | |
Mennen, 2000 (78 ) | M | 30–64 | n = 2,439 | Metabolic syndrome | ≤1 to > 4 servings/d | OR 1.00, 0.63 (0.40–0.99) | Age, WHR, energy intake | Dairy intake inversely associated with FPG (OR not provided) |
Azadbakht, 2005 (79 ) | M/F | 18–74 | Tehranian adults (n = 827) | Metabolic syndrome | <1.7 to ≥3.1 servings/d | OR 1.00, 0.82 (0.64–0.98) | Age, sex, BMI, WHR, exercise, smoking, energy intake, calcium intake | |
Liu, 2005 (66 ) | F | >45 | Women’s Health Study (n = 10,066) | Metabolic syndrome | <0.9 to >3 servings/d | OR 1.00, 0.66 (0.55–0.80) | Age, exercise, smoking, alcohol, vitamin use, history of myocardial infarction |
BMI, Body mass index; M, male; F, female; FPG, fasting plasma glucose; NR, not reported; NGT, normal glucose tolerance (based on FPG or 2hPG); IGT, impaired glucose tolerance (based on FPG or 2hPG); type 2 DM, type 2 diabetes mellitus (based on FPG, 2hPG, or self-report); 1hPG, plasma glucose 1 h after 75-g glucose load; 2hPG, plasma glucose 2 h after 75-g glucose load; GLUAUC, glucose area-under-the-curve after 75-g glucose load; IR, insulin resistance; CRP, C-reactive protein; WHR, waist-hip-ratio; ↓, decreased (statistically significant), ↑, increased (statistically significant), ↔, no difference (no statistical significance); NHANES, National Health and Nutrition Examination Survey; BWHS, Black Women’s Health Study; CARDIA, Coronary Artery Risk Development in Young Adults study; HPFS, Health Professionals Follow-up Study. To convert 25-OHD concentration to SI units, multiply by 2.459.
First author, year (Ref.) . | Sex . | Age, mean or range (yr) . | Cohort . | Outcome (assessment) . | Predictor, range, or category . | Main study results . | Adjustments . | Comments and other outcomes . |
---|---|---|---|---|---|---|---|---|
Vitamin D status (25-OHD concentration or vitamin D intake) | ||||||||
Orwoll, 1994 (23 ) | M/F | 40–70 | Non-insulin-treated type 2 DM (n = 20) | FPG | 25-OHD, NR | 25-OHD not associated with FPG | 25-OHD not associated with IR (fasting insulin) | |
Baynes, 1997 (18 ) | M | 76 | Nondiabetics (n = 142) | FPG, 2hPG | 25-OHD, 1–75 ng/ml | 25-OHD not associated with FPG or 2hPG | BMI, skinfold, exercise, smoking, alcohol | 25-OHD inversely associated with 1hPG (r =−0.2), GLUAUC(r =−0.3) |
Wareham, 1997 (60 ) | M/F | 40–65 | Nondiabetics (n = 1,057) | IGT (2hPG) | 25-OHD, <23 to >25 ng/ml | OR 1.00, 1.03 (1.01–1.05) | ||
Chiu, 2004 (19 ) | M/F | 26 | Nondiabetics (n = 126) | FPG, 2hPG | 25-OHD, 5–75 ng/ml | 25-OHD inversely associated with 1hPG, 2hPG; 25-OHD not associated with FPG | Age, sex, race, BMI, WHR, blood pressure | 25-OHD inversely associated with 1hPG, IR (clamp). 25-OHD not associated with insulin release |
Scragg, 2004 (40 ) | M/F | >20 | NHANES (n = 2,766 non-Hispanic whites) | Type 2 DM (FPG) | 25-OHD, <18 to >32 ng/ml | OR 1.00, 0.25 (0.11–0.60) | Age, sex, race, BMI, exercise, season | 25-OHD inversely associated with IR (HOMA) |
M/F | >20 | NHANES (n = 1,726 Mexican-Americans) | Type 2 DM (FPG) | 25-OHD, <18 to >32 ng/ml | OR 1.00, 0.17 (0.08–0.37) | Age, sex, race, BMI, exercise, season | 25-OHD inversely associated with IR (HOMA) | |
M/F | >20 | NHANES (n = 1,726 non-Hispanic blacks) | Type 2 DM (FPG) | 25-OHD, <18 to >32 ng/ml | OR 1.00, 3.40 (1.07–10.86) | Age, sex, race, BMI, exercise, season | ||
Ford, 2005 (57 ) | M/F | >20 | NHANES (n = 8,241) | Type 2 DM (FPG) | 25-OHD, <19 to >38 ng/ml | OR 1.00, 0.17 (0.08–0.37) | Age, sex, race, exercise, smoking, alcohol, diet, vitamin use, cholesterol, CRP, education, season | |
Need, 2005 (58 ) | F | 63 | Nondiabetics, (n = 753) | FPG | 25-OHD, NR | 25-OHD (>16 ng/ml) inversely associated with FPG | Age, BMI | |
Snijder, 2006 (61 ) | M/F | 75 | (n = 1,235) | Type 2 DM (self-report) | 25-OHD, <10 to ≥30 ng/ml | OR 1.0, 1.23 (0.50–3.02) | Age, sex, WHR, exercise, smoking, alcohol, region, season | |
Hypponen and Power, 2006 (59 ) | M/F | 45 | Caucasians (n = 7,198) | Hemoglobin A1c (%) | 25-OHD, <10 to ≥30 ng/ml | Hemoglobin A1c concentration 5.4%, 5.1% | Sex, season | Association pronounced among obese |
Chiu, 2004 (19 ) | M/F | 26 | Nondiabetics (n = 126) | Metabolic syndrome | 25-OHD, 5–75 ng/ml | 25-OHD inversely associated with metabolic syndrome | Age, sex, race, BMI, WHR, blood pressure | |
Ford, 2005 (57 ) | M/F | >20 | NHANES (n = 8,241) | Metabolic syndrome | 25-OHD, <19 to >38 ng/ml | OR 1.00, 0.46 (0.32–0.67) | Age, sex, race, exercise, smoking, alcohol, diet, vitamin use, cholesterol, CRP, education, season | |
Liu, 2005 (66 ) | F | >45 | Women’s Health Study (n = 10,066) | Metabolic syndrome | Vitamin D intake, ≤159 to ≥511 IU/d | OR 1.00, 1.05 (0.84–1.32) | Age, exercise, smoking, alcohol, vitamin use, history of myocardial infarction, calcium intake | |
Calcium intake | ||||||||
Liu, 2005 (66 ) | F | >45 | Women’s Health Study (n = 10,066) | Metabolic syndrome | Calcium intake, ≤ 610 to ≥1,284 mg/d | OR 1.00, 0.68 (0.55–0.83) | Age, exercise, smoking, alcohol, vitamin use, history of myocardial infarction, vitamin D intake | |
Dairy intake | ||||||||
Mennen, 2000 (78 ) | M | 30–64 | n = 2,439 | FPG | ≤1 to >4 servings/d | Dairy intake inversely associated with FPG | Age, WHR, energy intake | |
Azadbakht, 2005 (79 ) | M/F | 18–74 | Tehranian adults (n = 827) | IGT (FPG>110 mg/dl) | <1.7 to ≥3.1 servings/d | OR 1.00, 0.88 (0.73–1.09) | Age, sex, BMI, WHR, exercise, smoking, energy intake, calcium intake | |
Mennen, 2000 (78 ) | F | 30–64 | n = 2,537 | Metabolic syndrome | ≤1 to >4 servings/d | OR 1.00, 0.76 (0.47–2.66) | Age, WHR, energy intake | |
Mennen, 2000 (78 ) | M | 30–64 | n = 2,439 | Metabolic syndrome | ≤1 to > 4 servings/d | OR 1.00, 0.63 (0.40–0.99) | Age, WHR, energy intake | Dairy intake inversely associated with FPG (OR not provided) |
Azadbakht, 2005 (79 ) | M/F | 18–74 | Tehranian adults (n = 827) | Metabolic syndrome | <1.7 to ≥3.1 servings/d | OR 1.00, 0.82 (0.64–0.98) | Age, sex, BMI, WHR, exercise, smoking, energy intake, calcium intake | |
Liu, 2005 (66 ) | F | >45 | Women’s Health Study (n = 10,066) | Metabolic syndrome | <0.9 to >3 servings/d | OR 1.00, 0.66 (0.55–0.80) | Age, exercise, smoking, alcohol, vitamin use, history of myocardial infarction |
First author, year (Ref.) . | Sex . | Age, mean or range (yr) . | Cohort . | Outcome (assessment) . | Predictor, range, or category . | Main study results . | Adjustments . | Comments and other outcomes . |
---|---|---|---|---|---|---|---|---|
Vitamin D status (25-OHD concentration or vitamin D intake) | ||||||||
Orwoll, 1994 (23 ) | M/F | 40–70 | Non-insulin-treated type 2 DM (n = 20) | FPG | 25-OHD, NR | 25-OHD not associated with FPG | 25-OHD not associated with IR (fasting insulin) | |
Baynes, 1997 (18 ) | M | 76 | Nondiabetics (n = 142) | FPG, 2hPG | 25-OHD, 1–75 ng/ml | 25-OHD not associated with FPG or 2hPG | BMI, skinfold, exercise, smoking, alcohol | 25-OHD inversely associated with 1hPG (r =−0.2), GLUAUC(r =−0.3) |
Wareham, 1997 (60 ) | M/F | 40–65 | Nondiabetics (n = 1,057) | IGT (2hPG) | 25-OHD, <23 to >25 ng/ml | OR 1.00, 1.03 (1.01–1.05) | ||
Chiu, 2004 (19 ) | M/F | 26 | Nondiabetics (n = 126) | FPG, 2hPG | 25-OHD, 5–75 ng/ml | 25-OHD inversely associated with 1hPG, 2hPG; 25-OHD not associated with FPG | Age, sex, race, BMI, WHR, blood pressure | 25-OHD inversely associated with 1hPG, IR (clamp). 25-OHD not associated with insulin release |
Scragg, 2004 (40 ) | M/F | >20 | NHANES (n = 2,766 non-Hispanic whites) | Type 2 DM (FPG) | 25-OHD, <18 to >32 ng/ml | OR 1.00, 0.25 (0.11–0.60) | Age, sex, race, BMI, exercise, season | 25-OHD inversely associated with IR (HOMA) |
M/F | >20 | NHANES (n = 1,726 Mexican-Americans) | Type 2 DM (FPG) | 25-OHD, <18 to >32 ng/ml | OR 1.00, 0.17 (0.08–0.37) | Age, sex, race, BMI, exercise, season | 25-OHD inversely associated with IR (HOMA) | |
M/F | >20 | NHANES (n = 1,726 non-Hispanic blacks) | Type 2 DM (FPG) | 25-OHD, <18 to >32 ng/ml | OR 1.00, 3.40 (1.07–10.86) | Age, sex, race, BMI, exercise, season | ||
Ford, 2005 (57 ) | M/F | >20 | NHANES (n = 8,241) | Type 2 DM (FPG) | 25-OHD, <19 to >38 ng/ml | OR 1.00, 0.17 (0.08–0.37) | Age, sex, race, exercise, smoking, alcohol, diet, vitamin use, cholesterol, CRP, education, season | |
Need, 2005 (58 ) | F | 63 | Nondiabetics, (n = 753) | FPG | 25-OHD, NR | 25-OHD (>16 ng/ml) inversely associated with FPG | Age, BMI | |
Snijder, 2006 (61 ) | M/F | 75 | (n = 1,235) | Type 2 DM (self-report) | 25-OHD, <10 to ≥30 ng/ml | OR 1.0, 1.23 (0.50–3.02) | Age, sex, WHR, exercise, smoking, alcohol, region, season | |
Hypponen and Power, 2006 (59 ) | M/F | 45 | Caucasians (n = 7,198) | Hemoglobin A1c (%) | 25-OHD, <10 to ≥30 ng/ml | Hemoglobin A1c concentration 5.4%, 5.1% | Sex, season | Association pronounced among obese |
Chiu, 2004 (19 ) | M/F | 26 | Nondiabetics (n = 126) | Metabolic syndrome | 25-OHD, 5–75 ng/ml | 25-OHD inversely associated with metabolic syndrome | Age, sex, race, BMI, WHR, blood pressure | |
Ford, 2005 (57 ) | M/F | >20 | NHANES (n = 8,241) | Metabolic syndrome | 25-OHD, <19 to >38 ng/ml | OR 1.00, 0.46 (0.32–0.67) | Age, sex, race, exercise, smoking, alcohol, diet, vitamin use, cholesterol, CRP, education, season | |
Liu, 2005 (66 ) | F | >45 | Women’s Health Study (n = 10,066) | Metabolic syndrome | Vitamin D intake, ≤159 to ≥511 IU/d | OR 1.00, 1.05 (0.84–1.32) | Age, exercise, smoking, alcohol, vitamin use, history of myocardial infarction, calcium intake | |
Calcium intake | ||||||||
Liu, 2005 (66 ) | F | >45 | Women’s Health Study (n = 10,066) | Metabolic syndrome | Calcium intake, ≤ 610 to ≥1,284 mg/d | OR 1.00, 0.68 (0.55–0.83) | Age, exercise, smoking, alcohol, vitamin use, history of myocardial infarction, vitamin D intake | |
Dairy intake | ||||||||
Mennen, 2000 (78 ) | M | 30–64 | n = 2,439 | FPG | ≤1 to >4 servings/d | Dairy intake inversely associated with FPG | Age, WHR, energy intake | |
Azadbakht, 2005 (79 ) | M/F | 18–74 | Tehranian adults (n = 827) | IGT (FPG>110 mg/dl) | <1.7 to ≥3.1 servings/d | OR 1.00, 0.88 (0.73–1.09) | Age, sex, BMI, WHR, exercise, smoking, energy intake, calcium intake | |
Mennen, 2000 (78 ) | F | 30–64 | n = 2,537 | Metabolic syndrome | ≤1 to >4 servings/d | OR 1.00, 0.76 (0.47–2.66) | Age, WHR, energy intake | |
Mennen, 2000 (78 ) | M | 30–64 | n = 2,439 | Metabolic syndrome | ≤1 to > 4 servings/d | OR 1.00, 0.63 (0.40–0.99) | Age, WHR, energy intake | Dairy intake inversely associated with FPG (OR not provided) |
Azadbakht, 2005 (79 ) | M/F | 18–74 | Tehranian adults (n = 827) | Metabolic syndrome | <1.7 to ≥3.1 servings/d | OR 1.00, 0.82 (0.64–0.98) | Age, sex, BMI, WHR, exercise, smoking, energy intake, calcium intake | |
Liu, 2005 (66 ) | F | >45 | Women’s Health Study (n = 10,066) | Metabolic syndrome | <0.9 to >3 servings/d | OR 1.00, 0.66 (0.55–0.80) | Age, exercise, smoking, alcohol, vitamin use, history of myocardial infarction |
BMI, Body mass index; M, male; F, female; FPG, fasting plasma glucose; NR, not reported; NGT, normal glucose tolerance (based on FPG or 2hPG); IGT, impaired glucose tolerance (based on FPG or 2hPG); type 2 DM, type 2 diabetes mellitus (based on FPG, 2hPG, or self-report); 1hPG, plasma glucose 1 h after 75-g glucose load; 2hPG, plasma glucose 2 h after 75-g glucose load; GLUAUC, glucose area-under-the-curve after 75-g glucose load; IR, insulin resistance; CRP, C-reactive protein; WHR, waist-hip-ratio; ↓, decreased (statistically significant), ↑, increased (statistically significant), ↔, no difference (no statistical significance); NHANES, National Health and Nutrition Examination Survey; BWHS, Black Women’s Health Study; CARDIA, Coronary Artery Risk Development in Young Adults study; HPFS, Health Professionals Follow-up Study. To convert 25-OHD concentration to SI units, multiply by 2.459.
Combining data from all studies that reported on the association between 25-OHD level and prevalent type 2 DM (40, 60, 61, 63), the summary OR was 0.54 (95% CI, 0.23–1.27) for the highest vs. the lowest 25-OHD concentration (25–38 vs. 10–23 ng/ml, respectively), but with significant heterogeneity among studies. When we excluded the data on non-Hispanic blacks, there was a statistically significant inverse association between 25-OHD concentration and prevalent type 2 DM [OR 0.36 (95% CI, 0.16–0.80)].
Vitamin D intake and 25-OHD concentration have also been inversely associated with prevalence of metabolic syndrome (19, 57). In the largest study using NHANES data, serum 25-OHD concentration (after multivariate adjustment, but not including calcium intake) was inversely associated with having the metabolic syndrome (57) among both sexes and all three major racial or ethnic groups (57). The components of the metabolic syndrome that were independently associated with low 25-OHD were abdominal obesity and hyperglycemia; therefore, the results of this study may simply reflect the inverse association between serum 25-OHD and body weight or fatness (40, 64, 65). In a recent cross-sectional analysis of the Women’s Health Study, a large randomized trial designed to evaluate the effects of low-dose aspirin and vitamin E in cardiovascular disease, the inverse association between vitamin D intake and prevalence of metabolic syndrome was dissipated after adjustment for calcium intake (66).
In most (17, 51, 59, 63, 67–72), but not all (69, 73, 74), case-control studies, patients with type 2 DM or glucose intolerance are found to have lower serum 25-OHD concentration compared with controls without diabetes (Table 3).
First author, year (Ref.) . | Sex . | Age, mean or range (yr) . | Cases/outcome measure . | Control group . | Predictor . | Main study results . | Adjustments . | Comments and other outcomes . |
---|---|---|---|---|---|---|---|---|
Vitamin D status (25-OHD concentration or vitamin D intake) | ||||||||
Heath, 1979 (74 ) | M/F | 18–75 | Type 2 DM, n = 82 | n = 40 | 25-OHD | ↔ 25-OHD in type 2 DM vs. controls (35 vs. 38–44 ng/ml) | ||
Christiansen, 1982 (67 ) | M | 36 | Insulin-treated type 2 DM, n = 26 | Age-, sex- matched, n = 14 | 25-OHD | ↓ 25-OHD in type 2 DM vs. controls (17 vs. 22 ng/ml) | 25-OHD not associated with C-peptide level | |
Stepan, 1982 (68 ) | M/F | 40–70 | Sulfonylurea-treated type 2 DM, n = 22 | Blood donors, n = 30 | 25-OHD | ↓ 25-OHD in type 2 DM vs. controls (9 vs. 14 ng/ml) | ||
Ishida, 1985 (73 ) | M/F | 19–80 | Type 2 DM, n = 168 | n = 78 | 25-OHD | ↔ 25-OHD in type 2 DM vs. controls (30 vs. 28 ng/ml) | ||
Nyomba, 1986 (69 ) | M/F | 34–60 | Bantu insulin-treated type 2 DM, n = 20 | Bantu, n = 36 | 25-OHD | ↓ 25-OHD in type 2 DM vs. controls (26 vs. 35 ng/ml) | ||
M/F | 14–63 | Caucasian diet- and insulin-treated type 2 DM, n = 44 | Caucasian, n = 26 | 25-OHD | ↔ 25-OHD in type 2 DM vs. controls (34 vs. 33 ng/ml) | |||
Pietschamann, 1988 (70 ) | M/F | 62 | Type 2 DM, n = 38 | Age-, sex-matched, n = 17 | 25-OHD | ↓ 25-OHD in type 2 DM vs. controls (8 vs. 15 ng/ml) | ||
Boucher, 1995 (17 ) | M/F | 40–57 | IGT/type 2 DM, n = 44 | Age-, sex-matched, n = 15 | 25-OHD | ↓ 25-OHD in IGT/type 2 DM vs. controls (28 vs. 30 ng/ml) | ||
Scragg, 1995 (63 ) | M/F | 40–64 | IGT/newly diagnosed type 2 DM, n = 238 | Age-, sex-, ethnicity-, date-matched, n = 238 | 25-OHD | OR 1.00, 0.36 (0.19–0.71) (>33 vs. ≤24 ng/ml) | BMI, exercise, cholesterol, hypertension | Nested case-control study |
Aksoy, 2000 (71 ) | M/F | 57 | Type 2 DM with retinopathy, n = 66 | Season-matched, n = 20 | 25-OHD | ↓ 25-OHD in type 2 DM vs. controls (12 vs. 24 ng/ml) | ||
Isaia, 2001 (72 ) | F | NR | Type 2 DM, n = 66 | n = 66 | 25-OHD | ↓ 25-OHD in type 2 DM vs. controls (9 vs. 11 ng/ml) | Age, time since menopause | |
Cigolini, 2006 (51 ) | M/F | 61 | Type 2 DM, n = 459 | Age-, sex-matched, n = 459 | 25-OHD | ↓ 25-OHD in type 2 DM vs. controls (20 vs. 24 ng/ml) | ||
Hypponen and Power, 2006 (59 ) | M/F | 45 | Type 2 DM, n = 125 | Sex-, season- matched, n = 7,073 | 25-OHD | ↓ 25-OHD in type 2 DM vs. controls (15 vs. 21 ng/ml) | ||
Calcium intake | ||||||||
Isaia, 2001 (72 ) | F | NR | Type 2 DM, n = 66 | n = 66 | Calcium intake | ↓ Calcium intake in type 2 DM vs. controls (679 vs. 792 mg/d) | Age, time since menopause |
First author, year (Ref.) . | Sex . | Age, mean or range (yr) . | Cases/outcome measure . | Control group . | Predictor . | Main study results . | Adjustments . | Comments and other outcomes . |
---|---|---|---|---|---|---|---|---|
Vitamin D status (25-OHD concentration or vitamin D intake) | ||||||||
Heath, 1979 (74 ) | M/F | 18–75 | Type 2 DM, n = 82 | n = 40 | 25-OHD | ↔ 25-OHD in type 2 DM vs. controls (35 vs. 38–44 ng/ml) | ||
Christiansen, 1982 (67 ) | M | 36 | Insulin-treated type 2 DM, n = 26 | Age-, sex- matched, n = 14 | 25-OHD | ↓ 25-OHD in type 2 DM vs. controls (17 vs. 22 ng/ml) | 25-OHD not associated with C-peptide level | |
Stepan, 1982 (68 ) | M/F | 40–70 | Sulfonylurea-treated type 2 DM, n = 22 | Blood donors, n = 30 | 25-OHD | ↓ 25-OHD in type 2 DM vs. controls (9 vs. 14 ng/ml) | ||
Ishida, 1985 (73 ) | M/F | 19–80 | Type 2 DM, n = 168 | n = 78 | 25-OHD | ↔ 25-OHD in type 2 DM vs. controls (30 vs. 28 ng/ml) | ||
Nyomba, 1986 (69 ) | M/F | 34–60 | Bantu insulin-treated type 2 DM, n = 20 | Bantu, n = 36 | 25-OHD | ↓ 25-OHD in type 2 DM vs. controls (26 vs. 35 ng/ml) | ||
M/F | 14–63 | Caucasian diet- and insulin-treated type 2 DM, n = 44 | Caucasian, n = 26 | 25-OHD | ↔ 25-OHD in type 2 DM vs. controls (34 vs. 33 ng/ml) | |||
Pietschamann, 1988 (70 ) | M/F | 62 | Type 2 DM, n = 38 | Age-, sex-matched, n = 17 | 25-OHD | ↓ 25-OHD in type 2 DM vs. controls (8 vs. 15 ng/ml) | ||
Boucher, 1995 (17 ) | M/F | 40–57 | IGT/type 2 DM, n = 44 | Age-, sex-matched, n = 15 | 25-OHD | ↓ 25-OHD in IGT/type 2 DM vs. controls (28 vs. 30 ng/ml) | ||
Scragg, 1995 (63 ) | M/F | 40–64 | IGT/newly diagnosed type 2 DM, n = 238 | Age-, sex-, ethnicity-, date-matched, n = 238 | 25-OHD | OR 1.00, 0.36 (0.19–0.71) (>33 vs. ≤24 ng/ml) | BMI, exercise, cholesterol, hypertension | Nested case-control study |
Aksoy, 2000 (71 ) | M/F | 57 | Type 2 DM with retinopathy, n = 66 | Season-matched, n = 20 | 25-OHD | ↓ 25-OHD in type 2 DM vs. controls (12 vs. 24 ng/ml) | ||
Isaia, 2001 (72 ) | F | NR | Type 2 DM, n = 66 | n = 66 | 25-OHD | ↓ 25-OHD in type 2 DM vs. controls (9 vs. 11 ng/ml) | Age, time since menopause | |
Cigolini, 2006 (51 ) | M/F | 61 | Type 2 DM, n = 459 | Age-, sex-matched, n = 459 | 25-OHD | ↓ 25-OHD in type 2 DM vs. controls (20 vs. 24 ng/ml) | ||
Hypponen and Power, 2006 (59 ) | M/F | 45 | Type 2 DM, n = 125 | Sex-, season- matched, n = 7,073 | 25-OHD | ↓ 25-OHD in type 2 DM vs. controls (15 vs. 21 ng/ml) | ||
Calcium intake | ||||||||
Isaia, 2001 (72 ) | F | NR | Type 2 DM, n = 66 | n = 66 | Calcium intake | ↓ Calcium intake in type 2 DM vs. controls (679 vs. 792 mg/d) | Age, time since menopause |
See Table 2 legend for abbreviations. To convert 25-OHD concentration to SI units, multiply by 2.459.
First author, year (Ref.) . | Sex . | Age, mean or range (yr) . | Cases/outcome measure . | Control group . | Predictor . | Main study results . | Adjustments . | Comments and other outcomes . |
---|---|---|---|---|---|---|---|---|
Vitamin D status (25-OHD concentration or vitamin D intake) | ||||||||
Heath, 1979 (74 ) | M/F | 18–75 | Type 2 DM, n = 82 | n = 40 | 25-OHD | ↔ 25-OHD in type 2 DM vs. controls (35 vs. 38–44 ng/ml) | ||
Christiansen, 1982 (67 ) | M | 36 | Insulin-treated type 2 DM, n = 26 | Age-, sex- matched, n = 14 | 25-OHD | ↓ 25-OHD in type 2 DM vs. controls (17 vs. 22 ng/ml) | 25-OHD not associated with C-peptide level | |
Stepan, 1982 (68 ) | M/F | 40–70 | Sulfonylurea-treated type 2 DM, n = 22 | Blood donors, n = 30 | 25-OHD | ↓ 25-OHD in type 2 DM vs. controls (9 vs. 14 ng/ml) | ||
Ishida, 1985 (73 ) | M/F | 19–80 | Type 2 DM, n = 168 | n = 78 | 25-OHD | ↔ 25-OHD in type 2 DM vs. controls (30 vs. 28 ng/ml) | ||
Nyomba, 1986 (69 ) | M/F | 34–60 | Bantu insulin-treated type 2 DM, n = 20 | Bantu, n = 36 | 25-OHD | ↓ 25-OHD in type 2 DM vs. controls (26 vs. 35 ng/ml) | ||
M/F | 14–63 | Caucasian diet- and insulin-treated type 2 DM, n = 44 | Caucasian, n = 26 | 25-OHD | ↔ 25-OHD in type 2 DM vs. controls (34 vs. 33 ng/ml) | |||
Pietschamann, 1988 (70 ) | M/F | 62 | Type 2 DM, n = 38 | Age-, sex-matched, n = 17 | 25-OHD | ↓ 25-OHD in type 2 DM vs. controls (8 vs. 15 ng/ml) | ||
Boucher, 1995 (17 ) | M/F | 40–57 | IGT/type 2 DM, n = 44 | Age-, sex-matched, n = 15 | 25-OHD | ↓ 25-OHD in IGT/type 2 DM vs. controls (28 vs. 30 ng/ml) | ||
Scragg, 1995 (63 ) | M/F | 40–64 | IGT/newly diagnosed type 2 DM, n = 238 | Age-, sex-, ethnicity-, date-matched, n = 238 | 25-OHD | OR 1.00, 0.36 (0.19–0.71) (>33 vs. ≤24 ng/ml) | BMI, exercise, cholesterol, hypertension | Nested case-control study |
Aksoy, 2000 (71 ) | M/F | 57 | Type 2 DM with retinopathy, n = 66 | Season-matched, n = 20 | 25-OHD | ↓ 25-OHD in type 2 DM vs. controls (12 vs. 24 ng/ml) | ||
Isaia, 2001 (72 ) | F | NR | Type 2 DM, n = 66 | n = 66 | 25-OHD | ↓ 25-OHD in type 2 DM vs. controls (9 vs. 11 ng/ml) | Age, time since menopause | |
Cigolini, 2006 (51 ) | M/F | 61 | Type 2 DM, n = 459 | Age-, sex-matched, n = 459 | 25-OHD | ↓ 25-OHD in type 2 DM vs. controls (20 vs. 24 ng/ml) | ||
Hypponen and Power, 2006 (59 ) | M/F | 45 | Type 2 DM, n = 125 | Sex-, season- matched, n = 7,073 | 25-OHD | ↓ 25-OHD in type 2 DM vs. controls (15 vs. 21 ng/ml) | ||
Calcium intake | ||||||||
Isaia, 2001 (72 ) | F | NR | Type 2 DM, n = 66 | n = 66 | Calcium intake | ↓ Calcium intake in type 2 DM vs. controls (679 vs. 792 mg/d) | Age, time since menopause |
First author, year (Ref.) . | Sex . | Age, mean or range (yr) . | Cases/outcome measure . | Control group . | Predictor . | Main study results . | Adjustments . | Comments and other outcomes . |
---|---|---|---|---|---|---|---|---|
Vitamin D status (25-OHD concentration or vitamin D intake) | ||||||||
Heath, 1979 (74 ) | M/F | 18–75 | Type 2 DM, n = 82 | n = 40 | 25-OHD | ↔ 25-OHD in type 2 DM vs. controls (35 vs. 38–44 ng/ml) | ||
Christiansen, 1982 (67 ) | M | 36 | Insulin-treated type 2 DM, n = 26 | Age-, sex- matched, n = 14 | 25-OHD | ↓ 25-OHD in type 2 DM vs. controls (17 vs. 22 ng/ml) | 25-OHD not associated with C-peptide level | |
Stepan, 1982 (68 ) | M/F | 40–70 | Sulfonylurea-treated type 2 DM, n = 22 | Blood donors, n = 30 | 25-OHD | ↓ 25-OHD in type 2 DM vs. controls (9 vs. 14 ng/ml) | ||
Ishida, 1985 (73 ) | M/F | 19–80 | Type 2 DM, n = 168 | n = 78 | 25-OHD | ↔ 25-OHD in type 2 DM vs. controls (30 vs. 28 ng/ml) | ||
Nyomba, 1986 (69 ) | M/F | 34–60 | Bantu insulin-treated type 2 DM, n = 20 | Bantu, n = 36 | 25-OHD | ↓ 25-OHD in type 2 DM vs. controls (26 vs. 35 ng/ml) | ||
M/F | 14–63 | Caucasian diet- and insulin-treated type 2 DM, n = 44 | Caucasian, n = 26 | 25-OHD | ↔ 25-OHD in type 2 DM vs. controls (34 vs. 33 ng/ml) | |||
Pietschamann, 1988 (70 ) | M/F | 62 | Type 2 DM, n = 38 | Age-, sex-matched, n = 17 | 25-OHD | ↓ 25-OHD in type 2 DM vs. controls (8 vs. 15 ng/ml) | ||
Boucher, 1995 (17 ) | M/F | 40–57 | IGT/type 2 DM, n = 44 | Age-, sex-matched, n = 15 | 25-OHD | ↓ 25-OHD in IGT/type 2 DM vs. controls (28 vs. 30 ng/ml) | ||
Scragg, 1995 (63 ) | M/F | 40–64 | IGT/newly diagnosed type 2 DM, n = 238 | Age-, sex-, ethnicity-, date-matched, n = 238 | 25-OHD | OR 1.00, 0.36 (0.19–0.71) (>33 vs. ≤24 ng/ml) | BMI, exercise, cholesterol, hypertension | Nested case-control study |
Aksoy, 2000 (71 ) | M/F | 57 | Type 2 DM with retinopathy, n = 66 | Season-matched, n = 20 | 25-OHD | ↓ 25-OHD in type 2 DM vs. controls (12 vs. 24 ng/ml) | ||
Isaia, 2001 (72 ) | F | NR | Type 2 DM, n = 66 | n = 66 | 25-OHD | ↓ 25-OHD in type 2 DM vs. controls (9 vs. 11 ng/ml) | Age, time since menopause | |
Cigolini, 2006 (51 ) | M/F | 61 | Type 2 DM, n = 459 | Age-, sex-matched, n = 459 | 25-OHD | ↓ 25-OHD in type 2 DM vs. controls (20 vs. 24 ng/ml) | ||
Hypponen and Power, 2006 (59 ) | M/F | 45 | Type 2 DM, n = 125 | Sex-, season- matched, n = 7,073 | 25-OHD | ↓ 25-OHD in type 2 DM vs. controls (15 vs. 21 ng/ml) | ||
Calcium intake | ||||||||
Isaia, 2001 (72 ) | F | NR | Type 2 DM, n = 66 | n = 66 | Calcium intake | ↓ Calcium intake in type 2 DM vs. controls (679 vs. 792 mg/d) | Age, time since menopause |
See Table 2 legend for abbreviations. To convert 25-OHD concentration to SI units, multiply by 2.459.
What is the association between vitamin D status and incident type 2 DM or metabolic syndrome?
Two prospective studies have examined the association of vitamin D intake with incident type 2 DM (Table 4). In the Women’s Health Study, an intake of 511 IU/d of vitamin D or more was associated with lower risk of incident type 2 DM compared with an intake of 159 IU/d or less (2.7 vs. 5.6% of the cohort developed type 2 DM, respectively) (66). However, this analysis did not adjust for other risk factors of type 2 DM or calcium intake. Recently, our group examined the association between vitamin D and calcium intakes and incident type 2 DM among 83,806 women in the Nurses Health Study, a large prospective observational cohort (52). After adjusting for age, BMI, and nondietary covariates, we observed a significant inverse association between total (food + supplements) vitamin D intake and risk of type 2 DM. The association was attenuated after adjusting for dietary factors, in particular, magnesium and calcium.
First author, year (Ref.) . | Sex . | Age at baseline, mean or range (yr) . | Cohort, total no./no. of cases . | Outcome (assessment) . | Predictor, lowest and highest category . | Main study results . | Adjustments . | Comments . |
---|---|---|---|---|---|---|---|---|
Vitamin D status (25-OHD concentration or vitamin D intake) | ||||||||
Liu, 2005 (66 ) | F | >45 | Women’s Health Study, 10,066/NR | Type 2 DM (validated self-report) | Vitamin D intake, ≤159 IU/d and ≥511 IU/d | % of cohort with type 2 DM, 5.6 and 2.7 | Age | |
Pittas, 2006 (52 ) | F | 46 | Nurses Health Study, 83,779/4,843 | Type 2 DM (validated self-report) | Vitamin D intake ≤200 IU/d and >800 IU/d | Relative risk, 1.00, 0.87 (0.69–1.09) | Age, BMI, exercise, diabetes family history, smoking, alcohol, coffee, diet, hypertension, calcium intake | |
Calcium intake | ||||||||
Liu, 2005 (66 ) | F | >45 | Women’s Health Study, 10,066/NR | Type 2 DM (validated self-report) | Calcium intake ≤610 mg/d and ≥1,284 mg/d | % of cohort with type 2 DM, 5.6 and 2.7 | Age | |
Pittas, 2006 (52 ) | F | 46 | Nurses Health Study, 83,779/4,843 | Type 2 DM (validated self-report) | Calcium intake ≤600 mg/d and >1,200 mg/d | Relative risk, 1.00, 0.79 (0.70–0.90) | Age, BMI, exercise, diabetes family history, smoking, alcohol, coffee diet, hypertension, calcium intake | |
van Dam, 2006 (76 ) | F | 39 | BWHS, 41,186/1,964 | Type 2 DM (validated self-report) | Calcium intake, 219 mg/d and 661 mg/d | Relative risk, 1.00, 0.86 (0.74–1.00) | Age, BMI, exercise, diabetes family history, smoking, alcohol, coffee, diet, education | Association dissipated after adjustment for magnesium intake |
Pereira, 2002 (77 ) | M/F | 18–30 | CARDIA, 3,157 | Metabolic syndrome (ATP-3 criteria) | Calcium intake, <600 mg/d and >1200 mg/d | Relative risk, 1.00, 0.79 (0.61–1.03), among overweight (BMI >25) only | Age, sex, BMI, exercise, smoking, diet, vitamin use, energy intake | Association dissipated after adjusting for dairy intake |
Combined vitamin D and calcium intake | ||||||||
Pittas, 2006 (52 ) | F | 46 | Nurses Health Study, 83,779/4,843 | Type 2 DM (validated self-report) | Vitamin D and calcium, ≤400 IU/d and ≤600 mg/d, >800 IU/d and >1200 mg/d | Relative risk, 1.00, 0.67 (0.49–0.90) | Age, BMI, exercise, diabetes family history, smoking, alcohol, coffee, diet, hypertension | |
Dairy intake | ||||||||
Choi, 2005 (80 ) | M | 53 | HPFS 41,254/1,243 | Type 2 DM (validated self-report) | 0.5 servings/d and 4.1 servings/d | Relative risk, 1.00, 0.82 (0.67–0.1.00) | Age, BMI, exercise, diabetes family history, smoking, diet, cholesterol, hypertension | Adjustment for calcium intake reduced statistical significance of dairy intake |
Liu, 2006 (81 ) | W | 55 | Women’s Health Study 37,183/1,603 | Type 2 DM (validated self-report) | Low-fat, <0.9 servings/d and ≥ 3 servings/d | Relative risk, 1.00, 0.80 (0.67–0.95) | Age, BMI, exercise, diabetes family history, smoking, diet, hormone use, cholesterol, hypertension | Inverse association persisted after adjusting for calcium, vitamin D intake |
Pittas, 2006 (52 ) | F | 46 | Nurses Health Study, 83,779/4,843 | Type 2 DM (validated self-report) | <1 servings/d and ≥3 servings/d | Relative risk, 1.00, 0.89 (0.81–0.99) | Age, BMI, exercise, diabetes family history, smoking, alcohol, coffee, diet, hypertension | |
van Dam, 2006 (76 ) | F | 39 | Nondiabetics (black) 41,186/1,964 | Type 2 DM (validated self-report) | Low-fat, 0 servings/d and >1 serving/d | Relative risk, 1.00, 0.87 (0.76–1.00) | Age, BMI, exercise, diabetes family history, smoking, alcohol, coffee, diet, education | |
Pereira, 2002 (77 ) | M/F | 18–30 | CARDIA, 3,157/909 | Metabolic syndrome (ATP-3 criteria) | <1.5 servings/d and ≥5 servings/d | Relative risk, 1.00, 0.31 (0.14–0.70) among overweight (BMI >25) only | Age, sex, BMI, exercise, smoking, diet, energy intake, vitamin use, calcium and vitamin D intake |
First author, year (Ref.) . | Sex . | Age at baseline, mean or range (yr) . | Cohort, total no./no. of cases . | Outcome (assessment) . | Predictor, lowest and highest category . | Main study results . | Adjustments . | Comments . |
---|---|---|---|---|---|---|---|---|
Vitamin D status (25-OHD concentration or vitamin D intake) | ||||||||
Liu, 2005 (66 ) | F | >45 | Women’s Health Study, 10,066/NR | Type 2 DM (validated self-report) | Vitamin D intake, ≤159 IU/d and ≥511 IU/d | % of cohort with type 2 DM, 5.6 and 2.7 | Age | |
Pittas, 2006 (52 ) | F | 46 | Nurses Health Study, 83,779/4,843 | Type 2 DM (validated self-report) | Vitamin D intake ≤200 IU/d and >800 IU/d | Relative risk, 1.00, 0.87 (0.69–1.09) | Age, BMI, exercise, diabetes family history, smoking, alcohol, coffee, diet, hypertension, calcium intake | |
Calcium intake | ||||||||
Liu, 2005 (66 ) | F | >45 | Women’s Health Study, 10,066/NR | Type 2 DM (validated self-report) | Calcium intake ≤610 mg/d and ≥1,284 mg/d | % of cohort with type 2 DM, 5.6 and 2.7 | Age | |
Pittas, 2006 (52 ) | F | 46 | Nurses Health Study, 83,779/4,843 | Type 2 DM (validated self-report) | Calcium intake ≤600 mg/d and >1,200 mg/d | Relative risk, 1.00, 0.79 (0.70–0.90) | Age, BMI, exercise, diabetes family history, smoking, alcohol, coffee diet, hypertension, calcium intake | |
van Dam, 2006 (76 ) | F | 39 | BWHS, 41,186/1,964 | Type 2 DM (validated self-report) | Calcium intake, 219 mg/d and 661 mg/d | Relative risk, 1.00, 0.86 (0.74–1.00) | Age, BMI, exercise, diabetes family history, smoking, alcohol, coffee, diet, education | Association dissipated after adjustment for magnesium intake |
Pereira, 2002 (77 ) | M/F | 18–30 | CARDIA, 3,157 | Metabolic syndrome (ATP-3 criteria) | Calcium intake, <600 mg/d and >1200 mg/d | Relative risk, 1.00, 0.79 (0.61–1.03), among overweight (BMI >25) only | Age, sex, BMI, exercise, smoking, diet, vitamin use, energy intake | Association dissipated after adjusting for dairy intake |
Combined vitamin D and calcium intake | ||||||||
Pittas, 2006 (52 ) | F | 46 | Nurses Health Study, 83,779/4,843 | Type 2 DM (validated self-report) | Vitamin D and calcium, ≤400 IU/d and ≤600 mg/d, >800 IU/d and >1200 mg/d | Relative risk, 1.00, 0.67 (0.49–0.90) | Age, BMI, exercise, diabetes family history, smoking, alcohol, coffee, diet, hypertension | |
Dairy intake | ||||||||
Choi, 2005 (80 ) | M | 53 | HPFS 41,254/1,243 | Type 2 DM (validated self-report) | 0.5 servings/d and 4.1 servings/d | Relative risk, 1.00, 0.82 (0.67–0.1.00) | Age, BMI, exercise, diabetes family history, smoking, diet, cholesterol, hypertension | Adjustment for calcium intake reduced statistical significance of dairy intake |
Liu, 2006 (81 ) | W | 55 | Women’s Health Study 37,183/1,603 | Type 2 DM (validated self-report) | Low-fat, <0.9 servings/d and ≥ 3 servings/d | Relative risk, 1.00, 0.80 (0.67–0.95) | Age, BMI, exercise, diabetes family history, smoking, diet, hormone use, cholesterol, hypertension | Inverse association persisted after adjusting for calcium, vitamin D intake |
Pittas, 2006 (52 ) | F | 46 | Nurses Health Study, 83,779/4,843 | Type 2 DM (validated self-report) | <1 servings/d and ≥3 servings/d | Relative risk, 1.00, 0.89 (0.81–0.99) | Age, BMI, exercise, diabetes family history, smoking, alcohol, coffee, diet, hypertension | |
van Dam, 2006 (76 ) | F | 39 | Nondiabetics (black) 41,186/1,964 | Type 2 DM (validated self-report) | Low-fat, 0 servings/d and >1 serving/d | Relative risk, 1.00, 0.87 (0.76–1.00) | Age, BMI, exercise, diabetes family history, smoking, alcohol, coffee, diet, education | |
Pereira, 2002 (77 ) | M/F | 18–30 | CARDIA, 3,157/909 | Metabolic syndrome (ATP-3 criteria) | <1.5 servings/d and ≥5 servings/d | Relative risk, 1.00, 0.31 (0.14–0.70) among overweight (BMI >25) only | Age, sex, BMI, exercise, smoking, diet, energy intake, vitamin use, calcium and vitamin D intake |
See Table 2 legend for abbreviations. To convert 25-OHD concentration to SI units, multiply by 2.459.
First author, year (Ref.) . | Sex . | Age at baseline, mean or range (yr) . | Cohort, total no./no. of cases . | Outcome (assessment) . | Predictor, lowest and highest category . | Main study results . | Adjustments . | Comments . |
---|---|---|---|---|---|---|---|---|
Vitamin D status (25-OHD concentration or vitamin D intake) | ||||||||
Liu, 2005 (66 ) | F | >45 | Women’s Health Study, 10,066/NR | Type 2 DM (validated self-report) | Vitamin D intake, ≤159 IU/d and ≥511 IU/d | % of cohort with type 2 DM, 5.6 and 2.7 | Age | |
Pittas, 2006 (52 ) | F | 46 | Nurses Health Study, 83,779/4,843 | Type 2 DM (validated self-report) | Vitamin D intake ≤200 IU/d and >800 IU/d | Relative risk, 1.00, 0.87 (0.69–1.09) | Age, BMI, exercise, diabetes family history, smoking, alcohol, coffee, diet, hypertension, calcium intake | |
Calcium intake | ||||||||
Liu, 2005 (66 ) | F | >45 | Women’s Health Study, 10,066/NR | Type 2 DM (validated self-report) | Calcium intake ≤610 mg/d and ≥1,284 mg/d | % of cohort with type 2 DM, 5.6 and 2.7 | Age | |
Pittas, 2006 (52 ) | F | 46 | Nurses Health Study, 83,779/4,843 | Type 2 DM (validated self-report) | Calcium intake ≤600 mg/d and >1,200 mg/d | Relative risk, 1.00, 0.79 (0.70–0.90) | Age, BMI, exercise, diabetes family history, smoking, alcohol, coffee diet, hypertension, calcium intake | |
van Dam, 2006 (76 ) | F | 39 | BWHS, 41,186/1,964 | Type 2 DM (validated self-report) | Calcium intake, 219 mg/d and 661 mg/d | Relative risk, 1.00, 0.86 (0.74–1.00) | Age, BMI, exercise, diabetes family history, smoking, alcohol, coffee, diet, education | Association dissipated after adjustment for magnesium intake |
Pereira, 2002 (77 ) | M/F | 18–30 | CARDIA, 3,157 | Metabolic syndrome (ATP-3 criteria) | Calcium intake, <600 mg/d and >1200 mg/d | Relative risk, 1.00, 0.79 (0.61–1.03), among overweight (BMI >25) only | Age, sex, BMI, exercise, smoking, diet, vitamin use, energy intake | Association dissipated after adjusting for dairy intake |
Combined vitamin D and calcium intake | ||||||||
Pittas, 2006 (52 ) | F | 46 | Nurses Health Study, 83,779/4,843 | Type 2 DM (validated self-report) | Vitamin D and calcium, ≤400 IU/d and ≤600 mg/d, >800 IU/d and >1200 mg/d | Relative risk, 1.00, 0.67 (0.49–0.90) | Age, BMI, exercise, diabetes family history, smoking, alcohol, coffee, diet, hypertension | |
Dairy intake | ||||||||
Choi, 2005 (80 ) | M | 53 | HPFS 41,254/1,243 | Type 2 DM (validated self-report) | 0.5 servings/d and 4.1 servings/d | Relative risk, 1.00, 0.82 (0.67–0.1.00) | Age, BMI, exercise, diabetes family history, smoking, diet, cholesterol, hypertension | Adjustment for calcium intake reduced statistical significance of dairy intake |
Liu, 2006 (81 ) | W | 55 | Women’s Health Study 37,183/1,603 | Type 2 DM (validated self-report) | Low-fat, <0.9 servings/d and ≥ 3 servings/d | Relative risk, 1.00, 0.80 (0.67–0.95) | Age, BMI, exercise, diabetes family history, smoking, diet, hormone use, cholesterol, hypertension | Inverse association persisted after adjusting for calcium, vitamin D intake |
Pittas, 2006 (52 ) | F | 46 | Nurses Health Study, 83,779/4,843 | Type 2 DM (validated self-report) | <1 servings/d and ≥3 servings/d | Relative risk, 1.00, 0.89 (0.81–0.99) | Age, BMI, exercise, diabetes family history, smoking, alcohol, coffee, diet, hypertension | |
van Dam, 2006 (76 ) | F | 39 | Nondiabetics (black) 41,186/1,964 | Type 2 DM (validated self-report) | Low-fat, 0 servings/d and >1 serving/d | Relative risk, 1.00, 0.87 (0.76–1.00) | Age, BMI, exercise, diabetes family history, smoking, alcohol, coffee, diet, education | |
Pereira, 2002 (77 ) | M/F | 18–30 | CARDIA, 3,157/909 | Metabolic syndrome (ATP-3 criteria) | <1.5 servings/d and ≥5 servings/d | Relative risk, 1.00, 0.31 (0.14–0.70) among overweight (BMI >25) only | Age, sex, BMI, exercise, smoking, diet, energy intake, vitamin use, calcium and vitamin D intake |
First author, year (Ref.) . | Sex . | Age at baseline, mean or range (yr) . | Cohort, total no./no. of cases . | Outcome (assessment) . | Predictor, lowest and highest category . | Main study results . | Adjustments . | Comments . |
---|---|---|---|---|---|---|---|---|
Vitamin D status (25-OHD concentration or vitamin D intake) | ||||||||
Liu, 2005 (66 ) | F | >45 | Women’s Health Study, 10,066/NR | Type 2 DM (validated self-report) | Vitamin D intake, ≤159 IU/d and ≥511 IU/d | % of cohort with type 2 DM, 5.6 and 2.7 | Age | |
Pittas, 2006 (52 ) | F | 46 | Nurses Health Study, 83,779/4,843 | Type 2 DM (validated self-report) | Vitamin D intake ≤200 IU/d and >800 IU/d | Relative risk, 1.00, 0.87 (0.69–1.09) | Age, BMI, exercise, diabetes family history, smoking, alcohol, coffee, diet, hypertension, calcium intake | |
Calcium intake | ||||||||
Liu, 2005 (66 ) | F | >45 | Women’s Health Study, 10,066/NR | Type 2 DM (validated self-report) | Calcium intake ≤610 mg/d and ≥1,284 mg/d | % of cohort with type 2 DM, 5.6 and 2.7 | Age | |
Pittas, 2006 (52 ) | F | 46 | Nurses Health Study, 83,779/4,843 | Type 2 DM (validated self-report) | Calcium intake ≤600 mg/d and >1,200 mg/d | Relative risk, 1.00, 0.79 (0.70–0.90) | Age, BMI, exercise, diabetes family history, smoking, alcohol, coffee diet, hypertension, calcium intake | |
van Dam, 2006 (76 ) | F | 39 | BWHS, 41,186/1,964 | Type 2 DM (validated self-report) | Calcium intake, 219 mg/d and 661 mg/d | Relative risk, 1.00, 0.86 (0.74–1.00) | Age, BMI, exercise, diabetes family history, smoking, alcohol, coffee, diet, education | Association dissipated after adjustment for magnesium intake |
Pereira, 2002 (77 ) | M/F | 18–30 | CARDIA, 3,157 | Metabolic syndrome (ATP-3 criteria) | Calcium intake, <600 mg/d and >1200 mg/d | Relative risk, 1.00, 0.79 (0.61–1.03), among overweight (BMI >25) only | Age, sex, BMI, exercise, smoking, diet, vitamin use, energy intake | Association dissipated after adjusting for dairy intake |
Combined vitamin D and calcium intake | ||||||||
Pittas, 2006 (52 ) | F | 46 | Nurses Health Study, 83,779/4,843 | Type 2 DM (validated self-report) | Vitamin D and calcium, ≤400 IU/d and ≤600 mg/d, >800 IU/d and >1200 mg/d | Relative risk, 1.00, 0.67 (0.49–0.90) | Age, BMI, exercise, diabetes family history, smoking, alcohol, coffee, diet, hypertension | |
Dairy intake | ||||||||
Choi, 2005 (80 ) | M | 53 | HPFS 41,254/1,243 | Type 2 DM (validated self-report) | 0.5 servings/d and 4.1 servings/d | Relative risk, 1.00, 0.82 (0.67–0.1.00) | Age, BMI, exercise, diabetes family history, smoking, diet, cholesterol, hypertension | Adjustment for calcium intake reduced statistical significance of dairy intake |
Liu, 2006 (81 ) | W | 55 | Women’s Health Study 37,183/1,603 | Type 2 DM (validated self-report) | Low-fat, <0.9 servings/d and ≥ 3 servings/d | Relative risk, 1.00, 0.80 (0.67–0.95) | Age, BMI, exercise, diabetes family history, smoking, diet, hormone use, cholesterol, hypertension | Inverse association persisted after adjusting for calcium, vitamin D intake |
Pittas, 2006 (52 ) | F | 46 | Nurses Health Study, 83,779/4,843 | Type 2 DM (validated self-report) | <1 servings/d and ≥3 servings/d | Relative risk, 1.00, 0.89 (0.81–0.99) | Age, BMI, exercise, diabetes family history, smoking, alcohol, coffee, diet, hypertension | |
van Dam, 2006 (76 ) | F | 39 | Nondiabetics (black) 41,186/1,964 | Type 2 DM (validated self-report) | Low-fat, 0 servings/d and >1 serving/d | Relative risk, 1.00, 0.87 (0.76–1.00) | Age, BMI, exercise, diabetes family history, smoking, alcohol, coffee, diet, education | |
Pereira, 2002 (77 ) | M/F | 18–30 | CARDIA, 3,157/909 | Metabolic syndrome (ATP-3 criteria) | <1.5 servings/d and ≥5 servings/d | Relative risk, 1.00, 0.31 (0.14–0.70) among overweight (BMI >25) only | Age, sex, BMI, exercise, smoking, diet, energy intake, vitamin use, calcium and vitamin D intake |
See Table 2 legend for abbreviations. To convert 25-OHD concentration to SI units, multiply by 2.459.
What is the association between calcium intake and prevalent type 2 DM or metabolic syndrome?
A potentially important role for calcium status in the development of type 2 DM is suggested by case control studies in which calcium intake was found to be lower in patients with diabetes compared with controls (72). In the analysis from the Women’s Health Study, calcium intake (after adjustment for vitamin D intake) was inversely associated with prevalence of metabolic syndrome (66).
What is the association between calcium intake and incident type 2 DM or metabolic syndrome?
In prospective studies, low calcium intake is consistently found to be inversely associated with incident type 2 DM (52, 66, 75, 76) or the metabolic syndrome (77). In the Nurses Health Study, total (food + supplements) calcium intake was inversely associated with incident type 2 DM after complete multivariate adjustment, including vitamin D intake (52). A similar inverse association was seen in the Black Women’s Health Study, a prospective cohort of approximately 59,000 women aged 21–69 yr at baseline (76). In the latter study, there was no adjustment for vitamin D status, but the association was attenuated after adjustment for magnesium intake. After combining data from the latter two studies, the summary OR (95% CI) for incident type 2 DM was 0.82 (0.72–0.93) for the highest vs. the lowest calcium intake (661–1200 vs. 219–600 mg/d, respectively). The results of these studies highlight an important role for calcium intake.
What is the association between dairy intake and type 2 DM or metabolic syndrome?
The association between calcium and vitamin D status and type 2 DM can also be assessed from studies that report the effects of intake of dairy products on measurements of glycemia and metabolic syndrome. After combining data from cross-sectional studies, the summary OR for prevalence of metabolic syndrome was 0.71 (95% CI, 0.57–0.89) for the highest dairy intake (3–4 servings per day) vs. lowest (0.9–1.7 servings per day) (66, 78, 79), with no apparent heterogeneity among studies. In prospective studies, a moderate inverse association of dairy intake with incident type 2 DM (52, 76, 80, 81) or metabolic syndrome (77) is consistently reported. The summary OR for incident type 2 DM was 0.86 (95% CI, 0.79–0.93) for the highest vs. lowest dairy intake (3–5 vs. <1.5 servings per day, respectively) (52, 76, 80, 81) with no apparent heterogeneity among studies. It is important to note that although calcium and vitamin D are important components of dairy products, their contribution to the measured outcomes cannot be separated from other components in dairy products.
Summary of evidence from human observational studies and future directions
The evidence from observational studies suggests an association between low vitamin D status and calcium intake (including low dairy intake) and risk of type 2 DM or metabolic syndrome. However, definite conclusions from these studies are limited for a variety of reasons. 1) In cross-sectional or case-control studies, vitamin D or calcium status was measured in patients with glucose intolerance or established diabetes; therefore, these measures may not reflect vitamin D or calcium status before diagnosis and, as a result, the causative nature of the observed associations cannot be established. 2) There is considerable variability in studied cohorts [normal glucose tolerance vs. diabetes (newly diagnosed vs. established), ethnicity, latitude etc.]. 3) In most studies, there is a lack of adjustment for important confounders, such as adiposity, physical activity, and importantly, vitamin D or calcium status (for calcium or vitamin D studies, respectively). To clarify the individual contribution of each nutrient to future type 2 DM risk, in the Nurses Health Study, our group examined the combined effects of total (food + supplements) vitamin D and calcium intake on risk of incident type 2 DM (Fig. 1). We observed that, after multivariate adjustment, women with the highest calcium (>1200 mg/d) and vitamin D (>800 IU/d) intake (1.3% of the cohort) had a 33% lower risk of type 2 DM compared with women with the lowest calcium (<600 mg/d) and vitamin D (<400 IU/d) intakes. The lower risk seen with the combined intake was more than that seen with the highest intake of each nutrient separately, which highlights the importance of both nutrients as potential type 2 DM risk modifiers and the need to take into consideration both nutrients in observational studies.
Evidence from Intervention Human Studies
What is the effect of vitamin D supplementation on type 2 DM?
There are four small-scale short-term and two long-term controlled trials that have examined the effect of supplementation with a variety of formulations of vitamin D on type 2 DM parameters. Among 18 young healthy men, supplementation with 1,25-(OH)2D3 for 7 d did not change fasting glycemia or insulin sensitivity (42). In another small study (n = 14) in patients with type 2 DM, 2 μg/d IU of 1-OHD3 administration daily for 3 wk enhanced insulin secretion but had no effect on post-load glucose tolerance (24). Ljunghall et al. (41) randomized 65 middle-aged men with impaired glucose tolerance or mild diabetes and sufficient vitamin D levels at baseline to 0.75 μg/d of 1-OHD3 or placebo for 3 months and found no effect in fasting or stimulated glucose tolerance. In that trial, participants had sufficient vitamin D levels at baseline (mean 25-OHD, 38 ng/ml). In a crossover trial, 20 patients with type 2 DM and vitamin D deficiency were treated for 4 d with 1 μg/d of 1,25-OHD, and no change was seen in fasting or stimulated glucose, insulin, or C-peptide concentrations, but an improvement in insulin and C-peptide secretion was seen in patients with diabetes of short duration (23). The intervention period in this trial was too short to draw definitive conclusions, but it does suggest that vitamin D supplementation at an early stage in the development of diabetes (i.e. glucose intolerance) may be of benefit in delaying progression to clinical type 2 DM, which is supported by more recent data described below (48). Lastly, in a post hoc analyses of a 2-yr trial designed for bone-related outcomes, supplementation with vitamin D3 or 1-OHD3 had no effect on fasting glycemia in postmenopausal nondiabetic women (82).
What is the effect of calcium or dairy supplementation on type 2 DM?
There is limited evidence of an effect of calcium supplementation on diabetes-related parameters from trials that have examined the effects of calcium either alone or as a component of dairy products (Table 5). In 20 nondiabetic patients with essential hypertension, supplementation with 1,500 mg/d of calcium vs. placebo for 8 wk did not influence fasting glycemia but improved insulin sensitivity, as measured by euglycemic hyperinsulinemic clamp (46). Trials with small numbers of nondiabetic participants that have examined the effects of calcium supplementation as a component of dairy products in relation to glycemia or insulin resistance have shown conflicting results, but most studies show a neutral effect (43–45, 47, 83).
First author, year (Ref.) . | Sex . | Age, mean or range (yr) . | Study participants . | 25-OHD concentration and calcium intake at baseline . | Intervention . | Main outcome (glycemia) . | Comment and other outcomes . | |
---|---|---|---|---|---|---|---|---|
Type and dose . | Duration . | |||||||
Vitamin D alone | ||||||||
Nilas, 1984 (82 ) | F | 45–54 | Nondiabetic, n = 151 | NR | Vitamin D3 2,000 IU/d (n = 25) vs. 1OHD3 0.25 μ g/d (n = 23) vs. placebo (n = 103); all received 500 mg/d calcium | 104 wk | ↔FPG (change from baseline, [mg/dl]: +2.2 vs. −0.33 vs. +0.1269) | |
Inomata, 1986 (24 ) | M/F | 36–80 | Type 2 DM; n = 14 | NR | 1OHD3 2 μ g/d (n = 7) vs. placebo (n = 7) | 3 wk | ↔GLUAUC (change from baseline [mg/2 h/dl]: −21.2 vs. −2.3) | ↑, INSAUC |
Ljunghall, 1987 (41 ) | M | 61–65 | IGT/mild type 2 DM, n = 65 | 25-OHD 38 ng/ml | 1OHD3 0.75 μ g/d (n = 33) vs. placebo (n = 32) | 12 wk | ↔FPG (baseline to end-of-study [mg/dl]: 117 to 117 vs. 115 to 117); ↔A1c (baseline to end [%]: 6.46 to 5.90 vs. 6.28 to 5.70) | ↔ IRIVGTT |
Orwoll, 1994 (23 ) | M/F | 40–70 | Non-insulin-treated type 2 DM, n = 20 | 25-OHD 14 ng/ml | 1,25-OHD 1 μ g/d vs. placebo (crossover trial, n = 20) | 4 d | ↔FPG (baseline to end-of-study [mg/dl]: 214 to 209 vs. 214 to 198); ↔ meal-stimulated PG (data NR) | ↔ IRFI, ↔ INSAUC ↑ INSAUC if diabetes of short duration |
Fliser, 1997 (42 ) | M | 26 | Healthy, nondiabetic, n = 18 | NR | 1,25(OH)2D3 1.5 μ g/d (n = 9) vs. placebo (n = 9) | 1 wk | ↔ FPG (baseline to end-of-study [mg/dl]: 84 to 86 vs. 86 to 88) | ↔ IRM |
Calcium alone or dairy supplementation | ||||||||
Sanchez, 1997 (46 ) | M/F | 25–56 | Nondiabetic with essential hypertension, n = 20 | NR | Calcium 1500 mg/d (n = 10) vs. placebo (n = 10) | 8 wk | ↔ FPG (baseline to end-of-study [mg/dl]: 99 to 102 vs. 96 to 93) | ↓ IRM |
Barr, 2000 (43 ) | M/F | 55–85 | Nondiabetic, n = 204 | Calcium intake, 649–801 mg/d | Skim/low-fat milk (3 servings/d) (n = 101) vs. usual diet (n = 100) | 12 wk | ↑ FPG (baseline to end-of-study, [mg/dl] 94 to 94 vs. 95 to 95); ↔A1c (data NR) | ↔IRFI |
Zemel, 2004 (47 ) | M/F | 18–60 | Nondiabetic, obese, n = 32 | NR | High dairy (calcium 1300 mg/d) [n = 11] vs. high calcium (calcium 1300 mg/d) [n = 11] or low calcium (500 mg/d) [n = 10]; all received energy restriction (−500 kcal/d) | 24 wk | ↔ FPG (data NR); ↓ GLUAUC (change from baseline, [%]−27 vs. NR vs. NR) | ↔INSAUC, ↓ IRFI, not adjusted for weight loss |
Bowen, 2005 (44 ) | M/F | 25–64 | Nondiabetic, overweight, n = 50 | Calcium intake, 787–899 mg/d | High dairy protein (calcium 2400 mg/d) [n = 25] vs. high mixed protein (calcium 500 mg/d) [n = 25]; all received energy restriction | 16 wk | ↔ FPG (data NR); ↔ GLUAUC(data given) | ↔ IRFI, INSAUC, protein source was altered |
Thompson, 2005 (45 ) | M/F | 25–70 | Nondiabetic obese, n = 90 | NR | Dairy, 2 servings/d [n = 29] vs. dairy, 4 servings/d [n = 30]; all received energy restriction (−500 kcal/d) | 48 wk | ↔FPG (change from baseline [mg/dl]: −1.4 vs. −4.0); ↔ 2hPG (change from baseline [mg/dl]: 1.6 vs. −5.4) | ↔ INS120, IRFI |
Combined vitamin D plus calcium supplementation | ||||||||
Pittas, 2006 (48 ) | M/F | 71 | Normal fasting glucose, n = 222 | 25-OHD, 30 ng/ml; calcium intake, 750 mg/d | D3700 IU/d + calcium citrate 500 mg/d (n = 108) vs. placebo (n = 114) | 3 yr | ↔ FPG (change from baseline [mg/dl]: 2.7 vs. 2.2) | ↔ IRHOMA |
M/F | Impaired fasting glucose, n = 92 | 25-OHD, 30 ng/ml; calcium intake, 680 mg/d | D3700 IU/d + calcium citrate 500 mg/d (n = 45) vs. placebo (n = 47) | 3 yr | ↓ FPG (change from baseline [mg/dl]: 0.4 vs. 6.1) | ↓ IRHOMA |
First author, year (Ref.) . | Sex . | Age, mean or range (yr) . | Study participants . | 25-OHD concentration and calcium intake at baseline . | Intervention . | Main outcome (glycemia) . | Comment and other outcomes . | |
---|---|---|---|---|---|---|---|---|
Type and dose . | Duration . | |||||||
Vitamin D alone | ||||||||
Nilas, 1984 (82 ) | F | 45–54 | Nondiabetic, n = 151 | NR | Vitamin D3 2,000 IU/d (n = 25) vs. 1OHD3 0.25 μ g/d (n = 23) vs. placebo (n = 103); all received 500 mg/d calcium | 104 wk | ↔FPG (change from baseline, [mg/dl]: +2.2 vs. −0.33 vs. +0.1269) | |
Inomata, 1986 (24 ) | M/F | 36–80 | Type 2 DM; n = 14 | NR | 1OHD3 2 μ g/d (n = 7) vs. placebo (n = 7) | 3 wk | ↔GLUAUC (change from baseline [mg/2 h/dl]: −21.2 vs. −2.3) | ↑, INSAUC |
Ljunghall, 1987 (41 ) | M | 61–65 | IGT/mild type 2 DM, n = 65 | 25-OHD 38 ng/ml | 1OHD3 0.75 μ g/d (n = 33) vs. placebo (n = 32) | 12 wk | ↔FPG (baseline to end-of-study [mg/dl]: 117 to 117 vs. 115 to 117); ↔A1c (baseline to end [%]: 6.46 to 5.90 vs. 6.28 to 5.70) | ↔ IRIVGTT |
Orwoll, 1994 (23 ) | M/F | 40–70 | Non-insulin-treated type 2 DM, n = 20 | 25-OHD 14 ng/ml | 1,25-OHD 1 μ g/d vs. placebo (crossover trial, n = 20) | 4 d | ↔FPG (baseline to end-of-study [mg/dl]: 214 to 209 vs. 214 to 198); ↔ meal-stimulated PG (data NR) | ↔ IRFI, ↔ INSAUC ↑ INSAUC if diabetes of short duration |
Fliser, 1997 (42 ) | M | 26 | Healthy, nondiabetic, n = 18 | NR | 1,25(OH)2D3 1.5 μ g/d (n = 9) vs. placebo (n = 9) | 1 wk | ↔ FPG (baseline to end-of-study [mg/dl]: 84 to 86 vs. 86 to 88) | ↔ IRM |
Calcium alone or dairy supplementation | ||||||||
Sanchez, 1997 (46 ) | M/F | 25–56 | Nondiabetic with essential hypertension, n = 20 | NR | Calcium 1500 mg/d (n = 10) vs. placebo (n = 10) | 8 wk | ↔ FPG (baseline to end-of-study [mg/dl]: 99 to 102 vs. 96 to 93) | ↓ IRM |
Barr, 2000 (43 ) | M/F | 55–85 | Nondiabetic, n = 204 | Calcium intake, 649–801 mg/d | Skim/low-fat milk (3 servings/d) (n = 101) vs. usual diet (n = 100) | 12 wk | ↑ FPG (baseline to end-of-study, [mg/dl] 94 to 94 vs. 95 to 95); ↔A1c (data NR) | ↔IRFI |
Zemel, 2004 (47 ) | M/F | 18–60 | Nondiabetic, obese, n = 32 | NR | High dairy (calcium 1300 mg/d) [n = 11] vs. high calcium (calcium 1300 mg/d) [n = 11] or low calcium (500 mg/d) [n = 10]; all received energy restriction (−500 kcal/d) | 24 wk | ↔ FPG (data NR); ↓ GLUAUC (change from baseline, [%]−27 vs. NR vs. NR) | ↔INSAUC, ↓ IRFI, not adjusted for weight loss |
Bowen, 2005 (44 ) | M/F | 25–64 | Nondiabetic, overweight, n = 50 | Calcium intake, 787–899 mg/d | High dairy protein (calcium 2400 mg/d) [n = 25] vs. high mixed protein (calcium 500 mg/d) [n = 25]; all received energy restriction | 16 wk | ↔ FPG (data NR); ↔ GLUAUC(data given) | ↔ IRFI, INSAUC, protein source was altered |
Thompson, 2005 (45 ) | M/F | 25–70 | Nondiabetic obese, n = 90 | NR | Dairy, 2 servings/d [n = 29] vs. dairy, 4 servings/d [n = 30]; all received energy restriction (−500 kcal/d) | 48 wk | ↔FPG (change from baseline [mg/dl]: −1.4 vs. −4.0); ↔ 2hPG (change from baseline [mg/dl]: 1.6 vs. −5.4) | ↔ INS120, IRFI |
Combined vitamin D plus calcium supplementation | ||||||||
Pittas, 2006 (48 ) | M/F | 71 | Normal fasting glucose, n = 222 | 25-OHD, 30 ng/ml; calcium intake, 750 mg/d | D3700 IU/d + calcium citrate 500 mg/d (n = 108) vs. placebo (n = 114) | 3 yr | ↔ FPG (change from baseline [mg/dl]: 2.7 vs. 2.2) | ↔ IRHOMA |
M/F | Impaired fasting glucose, n = 92 | 25-OHD, 30 ng/ml; calcium intake, 680 mg/d | D3700 IU/d + calcium citrate 500 mg/d (n = 45) vs. placebo (n = 47) | 3 yr | ↓ FPG (change from baseline [mg/dl]: 0.4 vs. 6.1) | ↓ IRHOMA |
NR, Not reported; IGT, impaired glucose tolerance (based on FPG or 2hPG); Type 2 DM, type 2 diabetes mellitus (based on FPG, 2hPG or self-report); FPG, fasting plasma glucose; 2hPG, plasma glucose 2 h after 75-g glucose load; GLUAUC, glucose area-under-the-curve after 75-g glucose load; INSAUC, insulin area-under-the-curve after 75-g glucose load; INS120, insulin value at 120 min after glucose load is given; IR, insulin resistance; 25-OHD: 25-hydroxyvitamin D; IRFI, insulin resistance by fasting insulin; IRHOMA, insulin resistance by homeostasis model assessment; IRM, insulin resistance after euglycemic hyperinsulinemic clamp; IRIVGTT, insulin resistance after iv glucose tolerance test; ↓, decreased (statistically significant); ↑, increased (statistically significant); ↔, no difference (no statistical significance). To convert 25-OHD concentration to SI units, multiply by 2.459; to convert FPG to SI units, multiply by 0.0555.
First author, year (Ref.) . | Sex . | Age, mean or range (yr) . | Study participants . | 25-OHD concentration and calcium intake at baseline . | Intervention . | Main outcome (glycemia) . | Comment and other outcomes . | |
---|---|---|---|---|---|---|---|---|
Type and dose . | Duration . | |||||||
Vitamin D alone | ||||||||
Nilas, 1984 (82 ) | F | 45–54 | Nondiabetic, n = 151 | NR | Vitamin D3 2,000 IU/d (n = 25) vs. 1OHD3 0.25 μ g/d (n = 23) vs. placebo (n = 103); all received 500 mg/d calcium | 104 wk | ↔FPG (change from baseline, [mg/dl]: +2.2 vs. −0.33 vs. +0.1269) | |
Inomata, 1986 (24 ) | M/F | 36–80 | Type 2 DM; n = 14 | NR | 1OHD3 2 μ g/d (n = 7) vs. placebo (n = 7) | 3 wk | ↔GLUAUC (change from baseline [mg/2 h/dl]: −21.2 vs. −2.3) | ↑, INSAUC |
Ljunghall, 1987 (41 ) | M | 61–65 | IGT/mild type 2 DM, n = 65 | 25-OHD 38 ng/ml | 1OHD3 0.75 μ g/d (n = 33) vs. placebo (n = 32) | 12 wk | ↔FPG (baseline to end-of-study [mg/dl]: 117 to 117 vs. 115 to 117); ↔A1c (baseline to end [%]: 6.46 to 5.90 vs. 6.28 to 5.70) | ↔ IRIVGTT |
Orwoll, 1994 (23 ) | M/F | 40–70 | Non-insulin-treated type 2 DM, n = 20 | 25-OHD 14 ng/ml | 1,25-OHD 1 μ g/d vs. placebo (crossover trial, n = 20) | 4 d | ↔FPG (baseline to end-of-study [mg/dl]: 214 to 209 vs. 214 to 198); ↔ meal-stimulated PG (data NR) | ↔ IRFI, ↔ INSAUC ↑ INSAUC if diabetes of short duration |
Fliser, 1997 (42 ) | M | 26 | Healthy, nondiabetic, n = 18 | NR | 1,25(OH)2D3 1.5 μ g/d (n = 9) vs. placebo (n = 9) | 1 wk | ↔ FPG (baseline to end-of-study [mg/dl]: 84 to 86 vs. 86 to 88) | ↔ IRM |
Calcium alone or dairy supplementation | ||||||||
Sanchez, 1997 (46 ) | M/F | 25–56 | Nondiabetic with essential hypertension, n = 20 | NR | Calcium 1500 mg/d (n = 10) vs. placebo (n = 10) | 8 wk | ↔ FPG (baseline to end-of-study [mg/dl]: 99 to 102 vs. 96 to 93) | ↓ IRM |
Barr, 2000 (43 ) | M/F | 55–85 | Nondiabetic, n = 204 | Calcium intake, 649–801 mg/d | Skim/low-fat milk (3 servings/d) (n = 101) vs. usual diet (n = 100) | 12 wk | ↑ FPG (baseline to end-of-study, [mg/dl] 94 to 94 vs. 95 to 95); ↔A1c (data NR) | ↔IRFI |
Zemel, 2004 (47 ) | M/F | 18–60 | Nondiabetic, obese, n = 32 | NR | High dairy (calcium 1300 mg/d) [n = 11] vs. high calcium (calcium 1300 mg/d) [n = 11] or low calcium (500 mg/d) [n = 10]; all received energy restriction (−500 kcal/d) | 24 wk | ↔ FPG (data NR); ↓ GLUAUC (change from baseline, [%]−27 vs. NR vs. NR) | ↔INSAUC, ↓ IRFI, not adjusted for weight loss |
Bowen, 2005 (44 ) | M/F | 25–64 | Nondiabetic, overweight, n = 50 | Calcium intake, 787–899 mg/d | High dairy protein (calcium 2400 mg/d) [n = 25] vs. high mixed protein (calcium 500 mg/d) [n = 25]; all received energy restriction | 16 wk | ↔ FPG (data NR); ↔ GLUAUC(data given) | ↔ IRFI, INSAUC, protein source was altered |
Thompson, 2005 (45 ) | M/F | 25–70 | Nondiabetic obese, n = 90 | NR | Dairy, 2 servings/d [n = 29] vs. dairy, 4 servings/d [n = 30]; all received energy restriction (−500 kcal/d) | 48 wk | ↔FPG (change from baseline [mg/dl]: −1.4 vs. −4.0); ↔ 2hPG (change from baseline [mg/dl]: 1.6 vs. −5.4) | ↔ INS120, IRFI |
Combined vitamin D plus calcium supplementation | ||||||||
Pittas, 2006 (48 ) | M/F | 71 | Normal fasting glucose, n = 222 | 25-OHD, 30 ng/ml; calcium intake, 750 mg/d | D3700 IU/d + calcium citrate 500 mg/d (n = 108) vs. placebo (n = 114) | 3 yr | ↔ FPG (change from baseline [mg/dl]: 2.7 vs. 2.2) | ↔ IRHOMA |
M/F | Impaired fasting glucose, n = 92 | 25-OHD, 30 ng/ml; calcium intake, 680 mg/d | D3700 IU/d + calcium citrate 500 mg/d (n = 45) vs. placebo (n = 47) | 3 yr | ↓ FPG (change from baseline [mg/dl]: 0.4 vs. 6.1) | ↓ IRHOMA |
First author, year (Ref.) . | Sex . | Age, mean or range (yr) . | Study participants . | 25-OHD concentration and calcium intake at baseline . | Intervention . | Main outcome (glycemia) . | Comment and other outcomes . | |
---|---|---|---|---|---|---|---|---|
Type and dose . | Duration . | |||||||
Vitamin D alone | ||||||||
Nilas, 1984 (82 ) | F | 45–54 | Nondiabetic, n = 151 | NR | Vitamin D3 2,000 IU/d (n = 25) vs. 1OHD3 0.25 μ g/d (n = 23) vs. placebo (n = 103); all received 500 mg/d calcium | 104 wk | ↔FPG (change from baseline, [mg/dl]: +2.2 vs. −0.33 vs. +0.1269) | |
Inomata, 1986 (24 ) | M/F | 36–80 | Type 2 DM; n = 14 | NR | 1OHD3 2 μ g/d (n = 7) vs. placebo (n = 7) | 3 wk | ↔GLUAUC (change from baseline [mg/2 h/dl]: −21.2 vs. −2.3) | ↑, INSAUC |
Ljunghall, 1987 (41 ) | M | 61–65 | IGT/mild type 2 DM, n = 65 | 25-OHD 38 ng/ml | 1OHD3 0.75 μ g/d (n = 33) vs. placebo (n = 32) | 12 wk | ↔FPG (baseline to end-of-study [mg/dl]: 117 to 117 vs. 115 to 117); ↔A1c (baseline to end [%]: 6.46 to 5.90 vs. 6.28 to 5.70) | ↔ IRIVGTT |
Orwoll, 1994 (23 ) | M/F | 40–70 | Non-insulin-treated type 2 DM, n = 20 | 25-OHD 14 ng/ml | 1,25-OHD 1 μ g/d vs. placebo (crossover trial, n = 20) | 4 d | ↔FPG (baseline to end-of-study [mg/dl]: 214 to 209 vs. 214 to 198); ↔ meal-stimulated PG (data NR) | ↔ IRFI, ↔ INSAUC ↑ INSAUC if diabetes of short duration |
Fliser, 1997 (42 ) | M | 26 | Healthy, nondiabetic, n = 18 | NR | 1,25(OH)2D3 1.5 μ g/d (n = 9) vs. placebo (n = 9) | 1 wk | ↔ FPG (baseline to end-of-study [mg/dl]: 84 to 86 vs. 86 to 88) | ↔ IRM |
Calcium alone or dairy supplementation | ||||||||
Sanchez, 1997 (46 ) | M/F | 25–56 | Nondiabetic with essential hypertension, n = 20 | NR | Calcium 1500 mg/d (n = 10) vs. placebo (n = 10) | 8 wk | ↔ FPG (baseline to end-of-study [mg/dl]: 99 to 102 vs. 96 to 93) | ↓ IRM |
Barr, 2000 (43 ) | M/F | 55–85 | Nondiabetic, n = 204 | Calcium intake, 649–801 mg/d | Skim/low-fat milk (3 servings/d) (n = 101) vs. usual diet (n = 100) | 12 wk | ↑ FPG (baseline to end-of-study, [mg/dl] 94 to 94 vs. 95 to 95); ↔A1c (data NR) | ↔IRFI |
Zemel, 2004 (47 ) | M/F | 18–60 | Nondiabetic, obese, n = 32 | NR | High dairy (calcium 1300 mg/d) [n = 11] vs. high calcium (calcium 1300 mg/d) [n = 11] or low calcium (500 mg/d) [n = 10]; all received energy restriction (−500 kcal/d) | 24 wk | ↔ FPG (data NR); ↓ GLUAUC (change from baseline, [%]−27 vs. NR vs. NR) | ↔INSAUC, ↓ IRFI, not adjusted for weight loss |
Bowen, 2005 (44 ) | M/F | 25–64 | Nondiabetic, overweight, n = 50 | Calcium intake, 787–899 mg/d | High dairy protein (calcium 2400 mg/d) [n = 25] vs. high mixed protein (calcium 500 mg/d) [n = 25]; all received energy restriction | 16 wk | ↔ FPG (data NR); ↔ GLUAUC(data given) | ↔ IRFI, INSAUC, protein source was altered |
Thompson, 2005 (45 ) | M/F | 25–70 | Nondiabetic obese, n = 90 | NR | Dairy, 2 servings/d [n = 29] vs. dairy, 4 servings/d [n = 30]; all received energy restriction (−500 kcal/d) | 48 wk | ↔FPG (change from baseline [mg/dl]: −1.4 vs. −4.0); ↔ 2hPG (change from baseline [mg/dl]: 1.6 vs. −5.4) | ↔ INS120, IRFI |
Combined vitamin D plus calcium supplementation | ||||||||
Pittas, 2006 (48 ) | M/F | 71 | Normal fasting glucose, n = 222 | 25-OHD, 30 ng/ml; calcium intake, 750 mg/d | D3700 IU/d + calcium citrate 500 mg/d (n = 108) vs. placebo (n = 114) | 3 yr | ↔ FPG (change from baseline [mg/dl]: 2.7 vs. 2.2) | ↔ IRHOMA |
M/F | Impaired fasting glucose, n = 92 | 25-OHD, 30 ng/ml; calcium intake, 680 mg/d | D3700 IU/d + calcium citrate 500 mg/d (n = 45) vs. placebo (n = 47) | 3 yr | ↓ FPG (change from baseline [mg/dl]: 0.4 vs. 6.1) | ↓ IRHOMA |
NR, Not reported; IGT, impaired glucose tolerance (based on FPG or 2hPG); Type 2 DM, type 2 diabetes mellitus (based on FPG, 2hPG or self-report); FPG, fasting plasma glucose; 2hPG, plasma glucose 2 h after 75-g glucose load; GLUAUC, glucose area-under-the-curve after 75-g glucose load; INSAUC, insulin area-under-the-curve after 75-g glucose load; INS120, insulin value at 120 min after glucose load is given; IR, insulin resistance; 25-OHD: 25-hydroxyvitamin D; IRFI, insulin resistance by fasting insulin; IRHOMA, insulin resistance by homeostasis model assessment; IRM, insulin resistance after euglycemic hyperinsulinemic clamp; IRIVGTT, insulin resistance after iv glucose tolerance test; ↓, decreased (statistically significant); ↑, increased (statistically significant); ↔, no difference (no statistical significance). To convert 25-OHD concentration to SI units, multiply by 2.459; to convert FPG to SI units, multiply by 0.0555.
What is the effect of combined vitamin D and calcium supplementation on type 2 DM?
In a recent report from our group, post hoc analyses of a trial designed for bone-related outcomes showed that combined supplementation with 700 IU of vitamin D3 and 500 mg of calcium as calcium citrate malate had no effect on glycemia or insulin resistance in 221 adults over age 65 with normal glucose tolerance at baseline (48). However, among participants with impaired fasting glucose at baseline, those who took combined vitamin D3 and calcium supplements had a significantly lower rise in fasting glycemia and insulin resistance at 3 yr compared with those on placebo (0.4 vs. 6.1 mg/dl, respectively) (48). The effect size with combined vitamin D and calcium supplementation seen in this high-risk group was similar in magnitude to the progression of fasting glycemia seen in the Diabetes Prevention Program with intensive lifestyle or metformin (0.2 mg/dl in the lifestyle and 0.2 mg/dl in the metformin arm vs. 5.5 mg/dl in placebo) (84).
Summary of evidence from human intervention studies and future directions
It is difficult to draw definitive conclusions from the available intervention studies with vitamin D and/or calcium supplementation because most studies were short in duration, included few subjects, used a variety of formulations and combinations of vitamin D and calcium among various cohorts, or used post hoc analyses. Furthermore, the contribution of vitamin D and/or calcium in studies with dairy are difficult to interpret because dairy may have additional components affecting glucose metabolism. However, the overall evidence suggests that vitamin D alone probably has no effect in healthy individuals, but combined vitamin D and calcium supplementation may have a role in the prevention of type 2 DM, especially in populations at risk for type 2 DM such as those with glucose intolerance.
Optimal Intake of Vitamin D and Calcium in Relation to Type 2 DM
Currently recommended intake for calcium is 1200 mg/d for adults older than 50 yr, and for vitamin D, 400 IU/d for those aged 51–70 yr and 600 IU/d for those older than 70 yr (85). However, there is growing consensus that vitamin D intakes above the current recommendations may be associated with better health outcomes. Optimal levels of 25-OHD have not been defined, but for a variety of skeletal and nonskeletal outcomes, the most advantageous serum concentration of 25-OHD appears to be 30–40 ng/ml (4). In relation to type 2 DM, it is difficult to draw a definitive conclusion about an optimal level because available studies were done in a variety of cohorts with a large range of 25-OHD levels (Table 2). However, the data suggest that serum 25-OHD concentrations above 20 ng/ml are desirable, but those above 40 ng/ml may be better. To achieve such a 25-OHD concentration, an intake of approximately 1000 IU/d of vitamin D is needed (4, 86). In relation to calcium intake for type 2 DM, the evidence suggests that intakes above 600 mg/d are desirable, but intakes above 1200 mg may be optimal (Tables 2–5 and Fig. 1).
Data from NHANES III show that vitamin D insufficiency (25-OHD < 25 ng/ml) may affect up to half of the noninstitutionalized adolescent and adult population in the United States, even in the southern latitudes during the winter (87). Additional studies have shown a prevalence of vitamin D insufficiency ranging from 36–100% in a variety of populations including healthy young adults to hospitalized elderly individuals (52, 88–90). Insufficiency of calcium status is difficult to document biochemically, but there is concern that Americans are not meeting the recommended intake for calcium (91, 92). Adjusted for day-to-day variation, the median reported intake of calcium in the U.S. population declines with age (ages 51–70 yr, 708 mg/d for men and 571 mg/d for women; older than 70 yr, 702 mg/d for men and 517 mg/d for women) (85, 93). Combined insufficiency in vitamin D and calcium intake may be even more prevalent. In the Nurses Health Study, the group of female nurses with the highest intake of calcium (>1200 mg/d) and vitamin D (>800 IU/d) that was associated with the lowest risk of incidence type 2 DM was only 1.3% of the cohort (52).
Therefore, given the potential link between vitamin D, calcium, and diabetes described above, it is plausible that the rising incidence of type 2 DM may, at least in part, be due to suboptimal vitamin D and calcium status of the U.S. adult population. Furthermore, certain determinants of adequate vitamin D and calcium status (aging, physical inactivity, dark skin, and obesity) are also strong risk factors for type 2 DM. Although this may simply reflect confounding, the link between these risk factors and type 2 DM may, at least partially, be mediated by vitamin D and calcium insufficiency.
Conclusion and Future Directions
There appears to be a relationship between insufficient vitamin D and calcium status and type 2 DM. However, the available human data are limited because most observational studies are cross-sectional, whereas prospective studies have not measured 25-OHD concentration, and there is a paucity of randomized controlled trials with vitamin D and/or calcium supplementation specifically designed for outcomes related to type 2 DM. Although the evidence to date suggests that vitamin D and calcium deficiency influences postprandial glycemia and insulin response while supplementation may be beneficial in optimizing these processes, our understanding of the exact mechanisms by which vitamin D and calcium may promote β-cell function or ameliorate insulin resistance and systemic inflammation is incomplete. It is also not clear whether the effects are additive or synergistic.
Future research should focus on studies within prospective observational cohorts to clarify and quantify the association between calcium intake and 25-OHD concentration, rather than self-reported intake of vitamin D, and incident type 2 DM and should define the individual contributions of each nutrient on type 2 DM risk. Additionally, there is a need for randomized trials to examine the effects of vitamin D and/or calcium supplementation with intermediary endpoints (glucose tolerance, insulin secretion, insulin sensitivity) and ultimately with incident type 2 DM. The results of future studies will define the clinical role of vitamin D and calcium as potential interventions for prevention and management of type 2 DM, which will have significant public health implications because vitamin D and calcium insufficiency is common in U.S. adults, and both interventions can be implemented easily and inexpensively in clinical practice.
Acknowledgments
This work was supported by National Institutes of Health research grants K23 DK61506 and R01 DK76092 (to A.G.P.), U01 AG010353 (to B.D.-H.) and U.S. Department of Agriculture Grant 59-1950-9001 (to B.D.-H.).
The authors have no conflict of interest to disclose.
Abbreviations:
- [Ca2+]i,
Intracellular cytosolic calcium;
- CI,
confidence interval;
- HOMA,
homeostatic model assessment;
- OHD,
hydroxyvitamin D;
- OR,
odds ratio(s);
- type 2 DM,
type 2 diabetes mellitus.
References
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Food and Nutrient Board, Institute of Medicine
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