{"title":"Interrelations of vitamin D status with adiposity and muscle mass in adult women.","authors":"Rula Amr","doi":"10.1136/bmjnph-2024-000983","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Vitamin D deficiency (VDD) is common among women, particularly those with central adiposity. This study examines the predictors of vitamin D levels, focusing on age, adiposity and muscle composition.</p><p><strong>Methods: </strong>A cross-sectional study was conducted with 397 women aged 18-59 years in Jordan. Vitamin D levels were measured using high-performance liquid chromatography. Anthropometric and body composition metrics, including fat-free mass index, conicity index, body mass index (BMI) adjusted skeletal muscle mass index (SMI BMI) and central adiposity measures (waist circumference (WC) and waist-to-hip ratio (WHR)), were analysed. Statistical analyses included χ<sup>2</sup> tests, t-tests and multivariable Lasso regression.</p><p><strong>Results: </strong>Age was the strongest predictor of vitamin D levels, with older women exhibiting higher mean concentrations (42.80±11.01 years in the adequate group vs 36.45±11.22 years in the inadequate group; p<0.001). Central adiposity measures were significantly associated with vitamin D adequacy: WC<88 cm (73.8% vs 5.0%, p<0.001) and WHR<0.85 (20.3% vs 9.1%, p=0.001). Generalised adiposity measures, including BMI, were not significant in univariate analysis (p=0.668), but BMI was a negative predictor in Lasso regression (β=-1.078, 95% CI -1.400 to -0.756). SMI BMI showed a borderline negative association (p=0.054).</p><p><strong>Conclusions: </strong>Age and central adiposity are the key predictors of vitamin D levels, emphasising the importance of fat distribution over generalised measures. Public health strategies should target central adiposity and muscle health, especially in younger women at risk of VDD.</p>","PeriodicalId":36307,"journal":{"name":"BMJ Nutrition, Prevention and Health","volume":"8 1","pages":"e000983"},"PeriodicalIF":2.5000,"publicationDate":"2025-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12322559/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"BMJ Nutrition, Prevention and Health","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1136/bmjnph-2024-000983","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/1/1 0:00:00","PubModel":"eCollection","JCR":"Q2","JCRName":"NUTRITION & DIETETICS","Score":null,"Total":0}
引用次数: 0
Abstract
Background: Vitamin D deficiency (VDD) is common among women, particularly those with central adiposity. This study examines the predictors of vitamin D levels, focusing on age, adiposity and muscle composition.
Methods: A cross-sectional study was conducted with 397 women aged 18-59 years in Jordan. Vitamin D levels were measured using high-performance liquid chromatography. Anthropometric and body composition metrics, including fat-free mass index, conicity index, body mass index (BMI) adjusted skeletal muscle mass index (SMI BMI) and central adiposity measures (waist circumference (WC) and waist-to-hip ratio (WHR)), were analysed. Statistical analyses included χ2 tests, t-tests and multivariable Lasso regression.
Results: Age was the strongest predictor of vitamin D levels, with older women exhibiting higher mean concentrations (42.80±11.01 years in the adequate group vs 36.45±11.22 years in the inadequate group; p<0.001). Central adiposity measures were significantly associated with vitamin D adequacy: WC<88 cm (73.8% vs 5.0%, p<0.001) and WHR<0.85 (20.3% vs 9.1%, p=0.001). Generalised adiposity measures, including BMI, were not significant in univariate analysis (p=0.668), but BMI was a negative predictor in Lasso regression (β=-1.078, 95% CI -1.400 to -0.756). SMI BMI showed a borderline negative association (p=0.054).
Conclusions: Age and central adiposity are the key predictors of vitamin D levels, emphasising the importance of fat distribution over generalised measures. Public health strategies should target central adiposity and muscle health, especially in younger women at risk of VDD.