Ya Zhao, Danting Su, Lichun Huang, Mengjie He, Dan Han, Dong Zhao, Yan Zou, Ronghua Zhang
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引用次数: 0
Abstract
Background: The relationship between serum vitamin D levels and metabolic syndrome (MetS) has been controversial. This study focused on the relationship between the prevalence of MetS and serum vitamin D levels in middle-aged and elderly people.
Methods: This study included middle-aged and older adults who participated in the 2023 Zhejiang Provincial Nutrition and Health Survey, which was conducted in 90 districts and counties in Zhejiang Province, China.
Results: A total of 11,305 participants were included in this study. MetS was prevalent in 31.7% of participants. Vitamin D and vitamin D3 concentrations were inversely associated with MetS prevalence (Ptrend<0.05), but not with vitamin D2, regardless of whether logistic regression models were adjusted for confounding factors. After adjusting for age, sex, physical activity level, smoking status, education level, annual per capita household income, and body mass index residuals, the highest tertile (Q3) of vitamin D (odds ratio [OR], 0.779; 95% confidence interval [CI], 0.702-0.865) and vitamin D3 (OR, 0.787; 95% CI, 0.709-0.875) concentrations had a lower risk of MetS than the lowest tertile (Q1). We found that vitamin D and D3 levels were correlated with age (Pinteraction<0.05). When age-stratified analyses were performed, vitamin D and vitamin D3 levels were significantly negatively associated with MetS in older adults but not in middle-aged adults.
Conclusions: Low total serum vitamin D and vitamin D3 levels were associated with a higher risk of MetS in adults aged 60 years and older.
期刊介绍：
Nutrition & Metabolism publishes studies with a clear focus on nutrition and metabolism with applications ranging from nutrition needs, exercise physiology, clinical and population studies, as well as the underlying mechanisms in these aspects.
The areas of interest for Nutrition & Metabolism encompass studies in molecular nutrition in the context of obesity, diabetes, lipedemias, metabolic syndrome and exercise physiology. Manuscripts related to molecular, cellular and human metabolism, nutrient sensing and nutrient–gene interactions are also in interest, as are submissions that have employed new and innovative strategies like metabolomics/lipidomics or other omic-based biomarkers to predict nutritional status and metabolic diseases.
Key areas we wish to encourage submissions from include:
-how diet and specific nutrients interact with genes, proteins or metabolites to influence metabolic phenotypes and disease outcomes;
-the role of epigenetic factors and the microbiome in the pathogenesis of metabolic diseases and their influence on metabolic responses to diet and food components;
-how diet and other environmental factors affect epigenetics and microbiota; the extent to which genetic and nongenetic factors modify personal metabolic responses to diet and food compositions and the mechanisms involved;
-how specific biologic networks and nutrient sensing mechanisms attribute to metabolic variability.
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