
Modifiers of the Effects of Vitamin D Supplementation on Cardiometabolic Risk Factors: A Systematic Review and Meta-Analysis
Peng An, Sitong Wan, Langrun Wang, Tiancheng Xu, Teng Xu, Yonghui Wang, Jin Liu, Keji Li, Xifan Wang, Jingjing He, Simin Liu
Engineering ›› 2024, Vol. 42 ›› Issue (11) : 99-107.
Modifiers of the Effects of Vitamin D Supplementation on Cardiometabolic Risk Factors: A Systematic Review and Meta-Analysis
The inconsistent findings concerning the effects of vitamin D supplementation on cardiometabolic risk factors and the large heterogeneity in the published literature call for further research to identify sources of heterogeneity and potential effect modifiers. We performed a meta-analysis of randomized controlled trials (RCTs) published until March 2024 that reported estimates for the effects of vitamin D supplementation on cardiometabolic factors and relevant baseline covariates of RCT participants. A total of 17 656 participants from 99 RCTs were analyzed, and weighted mean differences (95% confidence intervals (CI)) for the intervention status were derived using random-effects modeling. Overall, compared with the placebo, vitamin D supplementation (median dose: 3320 international unit (IU)·day−1; range 40-120 000 IU·day−1) had favorable effects on systolic blood pressure (SBP; −2.04 (95% CI, −3.50, −0.59) mmHg; 1 mmHg = 0.133 kPa), diastolic blood pressure (DBP; −3.00 (95% CI, −3.61, −2.39) mmHg), total cholesterol (TC; −0.12 (95% CI, −0.21, −0.03) mmol·L−1), fasting blood glucose (FBG; −0.13 (95% CI, −0.20, −0.05) mmol·L−1), hemoglobin A1C (A1C; −0.09% (95% CI, −0.13%, −0.05%)), and fasting blood insulin (FBI: −7.61 (95% CI, −11.93, −3.30) pmol·L−1). The benefits of vitamin D were most evident in trials performed in non-Westerners, participants with baseline 25-hydroxyvitamin D (25[OH]D) lower than 15.0 ng·mL−1, non-obese (body mass index (BMI) < 30 kg·m−2), and older (age ≥ 50 years). The findings of this study underscore the need for personalized vitamin D intervention strategies that comprehensively account for individual patient characteristics (such as ethnocultural background, age, BMI, and circulating 25[OH]D level), intervention dosage, and intervention duration to optimize cardiometabolic health outcomes.
Vitamin D / Cardiometabolic risk factors / Meta-analysis / Ethnocultural differences / Obesity
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