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Sex differences in metabolically healthy and metabolically unhealthy obesity among Chinese children and adolescents

OBJECTIVES: To analyze sex differences in the prevalence of obesity phenotypes and their risk factors among children and adolescents aged 7-18 years in China. METHODS: We enrolled 15,114 children and adolescents aged 7-18 years into the final analysis. Obesity phenotypes were classified by body mass...

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Autores principales: Cai, Shan, Dang, Jiajia, Zhong, Panliang, Ma, Ning, Liu, Yunfei, Shi, Di, Zou, Zhiyong, Dong, Yanhui, Ma, Jun, Song, Yi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9613922/
https://www.ncbi.nlm.nih.gov/pubmed/36313785
http://dx.doi.org/10.3389/fendo.2022.980332
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author Cai, Shan
Dang, Jiajia
Zhong, Panliang
Ma, Ning
Liu, Yunfei
Shi, Di
Zou, Zhiyong
Dong, Yanhui
Ma, Jun
Song, Yi
author_facet Cai, Shan
Dang, Jiajia
Zhong, Panliang
Ma, Ning
Liu, Yunfei
Shi, Di
Zou, Zhiyong
Dong, Yanhui
Ma, Jun
Song, Yi
author_sort Cai, Shan
collection PubMed
description OBJECTIVES: To analyze sex differences in the prevalence of obesity phenotypes and their risk factors among children and adolescents aged 7-18 years in China. METHODS: We enrolled 15,114 children and adolescents aged 7-18 years into the final analysis. Obesity phenotypes were classified by body mass index (BMI) and metabolic status as metabolically healthy or unhealthy obesity. In addition, we collected four possible influencing factors on obesity phenotypes through questionnaires, including demographic, parental, early life, and lifestyle indicators. Multinomial logistic regression analysis in a generalized linear mixed model (GLMM) was selected to estimate the odds ratio (OR) and 95% confidence interval (95% CI) for identifying risk factors and control the cluster effects of schools. More importantly, the interaction terms of sex and each indicator were established to demonstrate the sex differences. RESULTS: The prevalence of metabolically healthy obesity (MHO), metabolically unhealthy obesity (MUO), metabolically healthy overweight and obesity (MHOO), and metabolically unhealthy overweight and obesity (MUOO) were 3.5%, 5.6%, 11.1%, and 13.0% respectively, with higher prevalence in boys (5.3% vs. 1.6%, 7.9% vs. 3.1%, 14.3% vs. 7.7%, 15.6% vs. 10.1%). In addition, younger ages, single children, parental smoking, parental history of diseases (overweight, hypertension, diabetes), caesarean, premature, and delayed delivery time, high birth weight, insufficient sleep time, and excessive screen time were considered as important risk factors of MHO and MUO among children and adolescents (p < 0.05). More notably, boys were at higher risks of MUO when they were single children (boys: OR = 1.56, 95% CI: 1.24-1.96; girls: OR = 1.12, 95% CI: 0.82-1.54), while girls were more sensitive to MUO with parental smoking (girls: OR = 1.34, 95% CI: 1.02-1.76; boys: OR = 1.16, 95% CI: 0.97-1.39), premature delivery (girls: OR = 3.11, 95% CI: 1.59-6.07; boys: OR = 1.22, 95% CI: 0.67-2.22), high birth weight (girls: OR = 2.45, 95% CI: 1.63-3.69; boys: OR = 1.28, 95% CI: 0.96-1.70), and excessive screen time (girls: OR = 1.47, 95% CI: 1.06-2.04; boys: OR = 0.97, 95% CI: 0.79-1.20), with significant interaction term for sex difference (p(interaction) < 0.05). CONCLUSIONS: MHO and MUO are becoming prevalent among Chinese children and adolescents. Significant sex differences in the prevalence of obesity phenotypes as well as their environmental and genetic risk factors suggest it might be necessary to manage obesity phenotypes problems from a sex perspective.
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spelling pubmed-96139222022-10-29 Sex differences in metabolically healthy and metabolically unhealthy obesity among Chinese children and adolescents Cai, Shan Dang, Jiajia Zhong, Panliang Ma, Ning Liu, Yunfei Shi, Di Zou, Zhiyong Dong, Yanhui Ma, Jun Song, Yi Front Endocrinol (Lausanne) Endocrinology OBJECTIVES: To analyze sex differences in the prevalence of obesity phenotypes and their risk factors among children and adolescents aged 7-18 years in China. METHODS: We enrolled 15,114 children and adolescents aged 7-18 years into the final analysis. Obesity phenotypes were classified by body mass index (BMI) and metabolic status as metabolically healthy or unhealthy obesity. In addition, we collected four possible influencing factors on obesity phenotypes through questionnaires, including demographic, parental, early life, and lifestyle indicators. Multinomial logistic regression analysis in a generalized linear mixed model (GLMM) was selected to estimate the odds ratio (OR) and 95% confidence interval (95% CI) for identifying risk factors and control the cluster effects of schools. More importantly, the interaction terms of sex and each indicator were established to demonstrate the sex differences. RESULTS: The prevalence of metabolically healthy obesity (MHO), metabolically unhealthy obesity (MUO), metabolically healthy overweight and obesity (MHOO), and metabolically unhealthy overweight and obesity (MUOO) were 3.5%, 5.6%, 11.1%, and 13.0% respectively, with higher prevalence in boys (5.3% vs. 1.6%, 7.9% vs. 3.1%, 14.3% vs. 7.7%, 15.6% vs. 10.1%). In addition, younger ages, single children, parental smoking, parental history of diseases (overweight, hypertension, diabetes), caesarean, premature, and delayed delivery time, high birth weight, insufficient sleep time, and excessive screen time were considered as important risk factors of MHO and MUO among children and adolescents (p < 0.05). More notably, boys were at higher risks of MUO when they were single children (boys: OR = 1.56, 95% CI: 1.24-1.96; girls: OR = 1.12, 95% CI: 0.82-1.54), while girls were more sensitive to MUO with parental smoking (girls: OR = 1.34, 95% CI: 1.02-1.76; boys: OR = 1.16, 95% CI: 0.97-1.39), premature delivery (girls: OR = 3.11, 95% CI: 1.59-6.07; boys: OR = 1.22, 95% CI: 0.67-2.22), high birth weight (girls: OR = 2.45, 95% CI: 1.63-3.69; boys: OR = 1.28, 95% CI: 0.96-1.70), and excessive screen time (girls: OR = 1.47, 95% CI: 1.06-2.04; boys: OR = 0.97, 95% CI: 0.79-1.20), with significant interaction term for sex difference (p(interaction) < 0.05). CONCLUSIONS: MHO and MUO are becoming prevalent among Chinese children and adolescents. Significant sex differences in the prevalence of obesity phenotypes as well as their environmental and genetic risk factors suggest it might be necessary to manage obesity phenotypes problems from a sex perspective. Frontiers Media S.A. 2022-10-14 /pmc/articles/PMC9613922/ /pubmed/36313785 http://dx.doi.org/10.3389/fendo.2022.980332 Text en Copyright © 2022 Cai, Dang, Zhong, Ma, Liu, Shi, Zou, Dong, Ma and Song https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Endocrinology
Cai, Shan
Dang, Jiajia
Zhong, Panliang
Ma, Ning
Liu, Yunfei
Shi, Di
Zou, Zhiyong
Dong, Yanhui
Ma, Jun
Song, Yi
Sex differences in metabolically healthy and metabolically unhealthy obesity among Chinese children and adolescents
title Sex differences in metabolically healthy and metabolically unhealthy obesity among Chinese children and adolescents
title_full Sex differences in metabolically healthy and metabolically unhealthy obesity among Chinese children and adolescents
title_fullStr Sex differences in metabolically healthy and metabolically unhealthy obesity among Chinese children and adolescents
title_full_unstemmed Sex differences in metabolically healthy and metabolically unhealthy obesity among Chinese children and adolescents
title_short Sex differences in metabolically healthy and metabolically unhealthy obesity among Chinese children and adolescents
title_sort sex differences in metabolically healthy and metabolically unhealthy obesity among chinese children and adolescents
topic Endocrinology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9613922/
https://www.ncbi.nlm.nih.gov/pubmed/36313785
http://dx.doi.org/10.3389/fendo.2022.980332
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