Increased obesity risks for being an only child in China: findings from a nationally representative study of 19,487

M Li1, H Xue2, W Wang3

  • 1Systems-oriented Global Childhood Obesity Intervention Program, Department of Epidemiology and Environmental Health, University at Buffalo, State University of New York, Buffalo, NY, USA; Department of Sociology, University of Notre Dame, Notre Dame, IN, USA.

Public Health
|August 28, 2017
PubMed

Insights

China's only-child population faces higher risks of overweight and obesity, with boys showing increased BMI and reduced physical activity. Interventions should target this demographic to combat the growing obesity epidemic.

Area of Science:

  • Public Health
  • Pediatrics
  • Epidemiology

Background:

  • China faces a demographic transition and rising obesity rates.
  • The large only-child population (≈100 million) may significantly contribute to the obesity epidemic.

Purpose of the Study:

  • To evaluate associations between only-child status and weight outcomes in China.
  • To examine how these associations vary by sex and urbanicity.
  • To understand the relationship between only-child status and energy expenditure-related behaviors.

Main Methods:

  • Secondary analysis of nationally representative cross-sectional data (China Education Panel Survey: Junior Cohorts 2013-14).
  • Included 19,487 students from 112 middle schools across 28 regions.
  • Propensity-score-weighted multilevel models were used to test associations.

Main Results:

  • Only-sons had higher BMI, overweight, and obesity risks compared to sons with siblings.
  • Only-sons spent less time on TV, internet use, sports, and chores.
  • Only-daughters had a higher risk of obesity, particularly pronounced in urban settings for boys.

Conclusions:

  • The only-child population in China is at a higher risk for overweight and obesity.
  • Interventions targeting childhood obesity should specifically address the needs of the only-child demographic.
  • Sex and urbanicity play a role in the observed associations.
Abstract

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