PMID- 35250848 OWN - NLM STAT- MEDLINE DCOM- 20220422 LR - 20220502 IS - 1664-2392 (Print) IS - 1664-2392 (Electronic) IS - 1664-2392 (Linking) VI - 12 DP - 2021 TI - Associations Between Different Dietary Vitamins and the Risk of Obesity in Children and Adolescents: A Machine Learning Approach. PG - 816975 LID - 10.3389/fendo.2021.816975 [doi] LID - 816975 AB - BACKGROUNDS: Simultaneous dietary intake of vitamins is considered as a common and real scenario in daily life. However, limited prospective studies have evaluated the association between multivitamins intake and obesity in children and adolescents. OBJECTIVES: This study aimed to evaluate the relationship between the intake of different dietary vitamins and the risk of obesity in children (6-11 years) and adolescents (12-19 years). METHODS: We conducted a cross-sectional study based on data from U.S. National Health and Nutrition Examination Survey, 2013-2016. A total of 3634 children and adolescents were included who had available data on dietary vitamins, obesity and covariates. We analyzed the dietary intake levels of nine vitamins, including vitamin A, vitamin B(1), vitamin B(2), vitamin B(6), vitamin B(12), vitamin C, vitamin D, vitamin E, vitamin K. Multivariate logistic regression was used to model the associations between vitamins and obesity. Bayesian kernel machine regression (BKMR) was employed to explore the joint and independent effects of vitamins on obesity among children and adolescents. RESULTS: In the multivariate logistic regression model, five vitamins (vitamin A, vitamin B(1), vitamin B(2), vitamin B(12), and vitamin D) were negatively associated with obesity in children and adolescents. BKMR analysis showed that when the concentration of the nine vitamins was at or above the 55th percentile compared with the median value, the combined intake of these vitamins could significantly reduce the risk of obesity in children and adolescents. Potential interactions between vitamin B(2) and vitamin B(12) in increasing the risk of obesity in children and adolescents were observed. CONCLUSIONS: We determine the combined effects of multivitamins on obesity in children and adolescents, and observe a significant interaction between vitamin B(2) and vitamin B(12). Further cohort studies are needed to clarify the health effects of multivitamins intake in a larger population. CI - Copyright (c) 2022 Tang, Zhan, Wei and Chen. FAU - Tang, Weifeng AU - Tang W AD - Ministry of Education-Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China. FAU - Zhan, Wenqiang AU - Zhan W AD - Ministry of Education-Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China. AD - School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China. FAU - Wei, Mengdan AU - Wei M AD - Ministry of Education-Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China. FAU - Chen, Qian AU - Chen Q AD - Ministry of Education-Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China. LA - eng PT - Journal Article PT - Research Support, Non-U.S. Gov't DEP - 20220217 PL - Switzerland TA - Front Endocrinol (Lausanne) JT - Frontiers in endocrinology JID - 101555782 RN - 0 (Vitamins) RN - 11103-57-4 (Vitamin A) RN - 12001-79-5 (Vitamin K) RN - 1406-16-2 (Vitamin D) RN - P6YC3EG204 (Vitamin B 12) SB - IM MH - Adolescent MH - Bayes Theorem MH - Child MH - Cross-Sectional Studies MH - Humans MH - Machine Learning MH - Nutrition Surveys MH - *Pediatric Obesity/epidemiology/etiology MH - Prospective Studies MH - Vitamin A MH - Vitamin B 12 MH - Vitamin D MH - Vitamin K MH - Vitamins PMC - PMC8893992 OTO - NOTNLM OT - *Bayesian Kernel machine regressioN OT - *adolescents OT - *children OT - *diet OT - *multivitamins OT - *obesity COIS- The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. EDAT- 2022/03/08 06:00 MHDA- 2022/04/23 06:00 PMCR- 2021/01/01 CRDT- 2022/03/07 06:02 PHST- 2021/11/17 00:00 [received] PHST- 2021/12/29 00:00 [accepted] PHST- 2022/03/07 06:02 [entrez] PHST- 2022/03/08 06:00 [pubmed] PHST- 2022/04/23 06:00 [medline] PHST- 2021/01/01 00:00 [pmc-release] AID - 10.3389/fendo.2021.816975 [doi] PST - epublish SO - Front Endocrinol (Lausanne). 2022 Feb 17;12:816975. doi: 10.3389/fendo.2021.816975. eCollection 2021.