{"title":"2017年至2018年全国健康与营养状况调查中维生素水平与肥胖之间的关系。","authors":"Xiaomin Lu, Zhongyou Sun","doi":"10.1017/S2040174423000466","DOIUrl":null,"url":null,"abstract":"<p><p>In recent years, the rapidly increasing incidence of obesity is becoming a worldwide public health problem. Obesity is a chronic disease which may have a major negative effect on the people's quality of life. Previous studies on the comprehensive effects of multivitamins on central obesity and general obesity are relatively few. The aim of this study was to evaluate association of vitamins exposure with obesity risk and obesity-related indicators. We fitted three statistical models (linear regression model, logistic regression model, and Bayesian kernel machine regression model) to evaluate the correlation between vitamin levels and obesity in the study population. The vitamin score represents the overall level of vitamin in serum, which was mutually verified with the results obtained from statistical model. The vitamin (A, C, and D) levels were significantly higher among non-obesity group compared to the obesity group. Using the lowest quartile of vitamin level as a referent, vitamin A, C, and D levels showed significantly negative correlation with the obesity risk in both adjusted and unadjusted models. When considering all vitamin as a mixed exposure, we found a generally negative relationship between vitamin mixtures with binary outcome (obesity) and continuous outcome (BMI, waist circumference, and hsCRP). Reduced levels of vitamins (A, C and D) increased the risk of obesity. Increased levels of vitamin mixtures can significantly reduce obesity risk and obesity-related indicators. Vitamins may reduce the risk of obesity by suppressing inflammatory responses.</p>","PeriodicalId":49167,"journal":{"name":"Journal of Developmental Origins of Health and Disease","volume":" ","pages":"773-780"},"PeriodicalIF":1.8000,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Association between vitamin levels and obesity in the national health and nutrition examination surveys 2017 to 2018.\",\"authors\":\"Xiaomin Lu, Zhongyou Sun\",\"doi\":\"10.1017/S2040174423000466\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>In recent years, the rapidly increasing incidence of obesity is becoming a worldwide public health problem. Obesity is a chronic disease which may have a major negative effect on the people's quality of life. Previous studies on the comprehensive effects of multivitamins on central obesity and general obesity are relatively few. The aim of this study was to evaluate association of vitamins exposure with obesity risk and obesity-related indicators. We fitted three statistical models (linear regression model, logistic regression model, and Bayesian kernel machine regression model) to evaluate the correlation between vitamin levels and obesity in the study population. The vitamin score represents the overall level of vitamin in serum, which was mutually verified with the results obtained from statistical model. The vitamin (A, C, and D) levels were significantly higher among non-obesity group compared to the obesity group. Using the lowest quartile of vitamin level as a referent, vitamin A, C, and D levels showed significantly negative correlation with the obesity risk in both adjusted and unadjusted models. When considering all vitamin as a mixed exposure, we found a generally negative relationship between vitamin mixtures with binary outcome (obesity) and continuous outcome (BMI, waist circumference, and hsCRP). Reduced levels of vitamins (A, C and D) increased the risk of obesity. Increased levels of vitamin mixtures can significantly reduce obesity risk and obesity-related indicators. Vitamins may reduce the risk of obesity by suppressing inflammatory responses.</p>\",\"PeriodicalId\":49167,\"journal\":{\"name\":\"Journal of Developmental Origins of Health and Disease\",\"volume\":\" \",\"pages\":\"773-780\"},\"PeriodicalIF\":1.8000,\"publicationDate\":\"2023-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Developmental Origins of Health and Disease\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1017/S2040174423000466\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/1/23 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q3\",\"JCRName\":\"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Developmental Origins of Health and Disease","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1017/S2040174423000466","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/1/23 0:00:00","PubModel":"Epub","JCR":"Q3","JCRName":"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH","Score":null,"Total":0}
引用次数: 0
摘要
近年来,肥胖症发病率的迅速上升正成为一个世界性的公共卫生问题。肥胖症是一种慢性疾病,可能对人们的生活质量产生重大负面影响。以往关于多种维生素对中心性肥胖和全身性肥胖的综合影响的研究相对较少。本研究旨在评估维生素暴露与肥胖风险和肥胖相关指标的关系。我们建立了三种统计模型(线性回归模型、逻辑回归模型和贝叶斯核机器回归模型)来评估研究人群中维生素水平与肥胖之间的相关性。维生素评分代表血清中维生素的总体水平,与统计模型得出的结果相互验证。与肥胖组相比,非肥胖组的维生素(A、C 和 D)水平明显较高。以维生素水平的最低四分位数为参照,在调整和未调整模型中,维生素 A、C 和 D 水平与肥胖风险呈显著负相关。将所有维生素视为混合暴露时,我们发现维生素混合物与二元结果(肥胖)和连续结果(体重指数、腰围和 hsCRP)之间普遍呈负相关。维生素(A、C 和 D)水平降低会增加肥胖风险。增加维生素混合物的含量可显著降低肥胖风险和肥胖相关指标。维生素可通过抑制炎症反应降低肥胖风险。
Association between vitamin levels and obesity in the national health and nutrition examination surveys 2017 to 2018.
In recent years, the rapidly increasing incidence of obesity is becoming a worldwide public health problem. Obesity is a chronic disease which may have a major negative effect on the people's quality of life. Previous studies on the comprehensive effects of multivitamins on central obesity and general obesity are relatively few. The aim of this study was to evaluate association of vitamins exposure with obesity risk and obesity-related indicators. We fitted three statistical models (linear regression model, logistic regression model, and Bayesian kernel machine regression model) to evaluate the correlation between vitamin levels and obesity in the study population. The vitamin score represents the overall level of vitamin in serum, which was mutually verified with the results obtained from statistical model. The vitamin (A, C, and D) levels were significantly higher among non-obesity group compared to the obesity group. Using the lowest quartile of vitamin level as a referent, vitamin A, C, and D levels showed significantly negative correlation with the obesity risk in both adjusted and unadjusted models. When considering all vitamin as a mixed exposure, we found a generally negative relationship between vitamin mixtures with binary outcome (obesity) and continuous outcome (BMI, waist circumference, and hsCRP). Reduced levels of vitamins (A, C and D) increased the risk of obesity. Increased levels of vitamin mixtures can significantly reduce obesity risk and obesity-related indicators. Vitamins may reduce the risk of obesity by suppressing inflammatory responses.
期刊介绍:
JDOHaD publishes leading research in the field of Developmental Origins of Health and Disease (DOHaD). The Journal focuses on the environment during early pre-natal and post-natal animal and human development, interactions between environmental and genetic factors, including environmental toxicants, and their influence on health and disease risk throughout the lifespan. JDOHaD publishes work on developmental programming, fetal and neonatal biology and physiology, early life nutrition, especially during the first 1,000 days of life, human ecology and evolution and Gene-Environment Interactions.
JDOHaD also accepts manuscripts that address the social determinants or education of health and disease risk as they relate to the early life period, as well as the economic and health care costs of a poor start to life. Accordingly, JDOHaD is multi-disciplinary, with contributions from basic scientists working in the fields of physiology, biochemistry and nutrition, endocrinology and metabolism, developmental biology, molecular biology/ epigenetics, human biology/ anthropology, and evolutionary developmental biology. Moreover clinicians, nutritionists, epidemiologists, social scientists, economists, public health specialists and policy makers are very welcome to submit manuscripts.
The journal includes original research articles, short communications and reviews, and has regular themed issues, with guest editors; it is also a platform for conference/workshop reports, and for opinion, comment and interaction.