Literature DB >> 36093090

Prevalence and associated factors of metabolic body size phenotype in children and adolescents: A national cross-sectional analysis in China.

Jieyu Liu1,2, Tao Ma1,2, Manman Chen1,2, Ying Ma1,2, Yanhui Li1,2, Di Gao1,2, Qi Ma1,2, Xinxin Wang3, Li Chen1,2, Yi Zhang1,2, Yanhui Dong1,2, Yi Song1,2, Jun Ma1,2.   

Abstract

Background: Metabolically healthy obesity (MHO) is a group of subjects with overweight/obesity who present a metabolically healthy profile; however, associated factors are complex and are far from completely understood. The aim of the current study was to estimate the prevalence of different metabolic body size phenotypes and investigate the associated factors in Chinese children and adolescents.
Methods: A cross-sectional survey was conducted of 12,346 children and adolescents aged 7-18 years from seven provinces in China in 2013. Anthropometric, blood pressure, and biochemical measurements were obtained. A multi-component questionnaire covering demographic, neonatal, and lifestyle characteristics was administered. The classification of metabolic body size phenotype based on three definitions was compared. With metabolically healthy with normal weight (MHNW) as a reference group, logistic regression analyses were used to estimate the potential effects of associated risk factors, with adjustment for age, sex, single-child status, and residence area.
Results: The prevalence of MHNW, MHO, metabolically unhealthy with normal weight (MUNW), and metabolically unhealthy overweight/obesity (MUO) phenotype was 68.6%, 2.0%, 26.4%, and 3.0%, respectively. There were 39.3% MHO and 60.7% MUO among obese participants and 72.2% MHNW and 27.8% MUNW among those with normal weight. Compared to cardiometabolic risk factor (CMRF) criteria and metabolic syndrome (MetS) component definition, the application of the 2018 consensus-based definition may identify more children with abnormal cardiovascular risks, independent of weight status. Compared to younger children, older-aged adolescents were positively associated with higher risks of MUNW (odds ratio (OR) = 1.38, 95% CI = 1.27-1.50) and MUO (OR = 1.29, 95% CI = 1.04-1.60), while factors positively associated with MHO were younger age, single-child status, urban residence, high birth weight, prolonged breastfeeding duration, parental overweight/obesity status, long screen time, and less physical activity.
Conclusion: There were still a high proportion of children and adolescents at high cardiometabolic risk in China. Our findings reinforce the need for cardiometabolic risk prevention in children and adolescents irrespective of their weight statuses, such as parental educational programs and healthy lifestyle interventions.
Copyright © 2022 Liu, Ma, Chen, Ma, Li, Gao, Ma, Wang, Chen, Zhang, Dong, Song and Ma.

Entities:  

Keywords:  associated factors; children and adolescents; metabolic health; obesity; prevalence

Mesh:

Year:  2022        PMID: 36093090      PMCID: PMC9452664          DOI: 10.3389/fendo.2022.952825

Source DB:  PubMed          Journal:  Front Endocrinol (Lausanne)        ISSN: 1664-2392            Impact factor:   6.055


  55 in total

1.  Association between child and adolescent television viewing and adult health: a longitudinal birth cohort study.

Authors:  Robert J Hancox; Barry J Milne; Richie Poulton
Journal:  Lancet       Date:  2004 Jul 17-23       Impact factor: 79.321

2.  Association of sugar-sweetened beverage intake with risk of metabolic syndrome among children and adolescents in urban China.

Authors:  Shuyi Li; Muqing Cao; Chen Yang; Hao Zheng; Yanna Zhu
Journal:  Public Health Nutr       Date:  2020-01-09       Impact factor: 4.022

Review 3.  Childhood obesity: increased risk for cardiometabolic disease and cancer in adulthood.

Authors:  Susann Weihrauch-Blüher; Peter Schwarz; Jan-Henning Klusmann
Journal:  Metabolism       Date:  2018-12-05       Impact factor: 8.694

4.  Risk factors that affect metabolic health status in obese children.

Authors:  Selin Elmaogullari; Fatma Demirel; Nihal Hatipoglu
Journal:  J Pediatr Endocrinol Metab       Date:  2017-01-01       Impact factor: 1.634

Review 5.  Validity of the International Physical Activity Questionnaire Short Form (IPAQ-SF): a systematic review.

Authors:  Paul H Lee; Duncan J Macfarlane; T H Lam; Sunita M Stewart
Journal:  Int J Behav Nutr Phys Act       Date:  2011-10-21       Impact factor: 6.457

Review 6.  Regulation of Skeletal Muscle Glucose Transport and Glucose Metabolism by Exercise Training.

Authors:  Parker L Evans; Shawna L McMillin; Luke A Weyrauch; Carol A Witczak
Journal:  Nutrients       Date:  2019-10-12       Impact factor: 6.706

7.  Physical activity and screen time in metabolically healthy obese phenotypes in adolescents and adults.

Authors:  Sarah M Camhi; Molly E Waring; Susan B Sisson; Laura L Hayman; Aviva Must
Journal:  J Obes       Date:  2013-09-11

8.  Prevalence and Clinical Characteristics of Metabolically Healthy Obesity in Korean Children and Adolescents: Data from the Korea National Health and Nutrition Examination Survey.

Authors:  Da Young Yoon; Young Ah Lee; Jieun Lee; Jae Hyun Kim; Choong Ho Shin; Sei Won Yang
Journal:  J Korean Med Sci       Date:  2017-11       Impact factor: 2.153

9.  Cardiovascular Risk Factors Associated With the Metabolically Healthy Obese (MHO) Phenotype Compared to the Metabolically Unhealthy Obese (MUO) Phenotype in Children.

Authors:  Simonetta Genovesi; Laura Antolini; Antonina Orlando; Luisa Gilardini; Simona Bertoli; Marco Giussani; Cecilia Invitti; Elisa Nava; Maria Grazia Battaglino; Alessandro Leone; Maria Grazia Valsecchi; Gianfranco Parati
Journal:  Front Endocrinol (Lausanne)       Date:  2020-02-07       Impact factor: 5.555

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