The Role of Vitamin D and Calcium in Type 2 Diabetes. A Systematic Review and Meta-analysis
Overview
Affiliations
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.
Ebrahimi R, Masouri M, Salehi Amniyeh Khozani A, Mohammad Soltani S, Nejadghaderi S Health Sci Rep. 2025; 8(3):e70524.
PMID: 40041785 PMC: 11872689. DOI: 10.1002/hsr2.70524.
Nutritional intake of micronutrient and macronutrient and type 2 diabetes: machine learning schemes.
Rashidmayvan M, Mansoori A, Derakhshan-Nezhad E, Tanbakuchi D, Sangin F, Mohammadi-Bajgiran M J Health Popul Nutr. 2025; 44(1):31.
PMID: 39920736 PMC: 11806732. DOI: 10.1186/s41043-024-00712-2.
Derogar Kasmaei S, Parastouei K, Hosseini Ahangar B, Saberifiroozi M, Taghdir M BMJ Nutr Prev Health. 2025; 7(2):e000938.
PMID: 39882304 PMC: 11773653. DOI: 10.1136/bmjnph-2024-000938.
Dong H, Lu N, Wang J, Hu P Asia Pac J Clin Nutr. 2025; 34(1):104-111.
PMID: 39828263 PMC: 11742607. DOI: 10.6133/apjcn.202502_34(1).0010.
Simon-Frapolli V, Lopez-Montalban A, Vegas-Aguilar I, Generoso-Pinar M, Fernandez-Jimenez R, Cornejo-Pareja I Nutrients. 2025; 17(1.
PMID: 39796549 PMC: 11722648. DOI: 10.3390/nu17010110.