Ecological risk model of childhood obesity in Chinese immigrant children

Nan Zhou1, Charissa S L Cheah1

  • 1Department of Psychology, University of Maryland, Baltimore County, 1000 Hilltop Circle, Baltimore, MD 21227, USA.

Appetite
|March 3, 2015
PubMed

Insights

Overweight Chinese American children face unique health risks. This review identifies ecological factors contributing to childhood obesity in this understudied immigrant population, guiding future research.

Area of Science:

  • Public Health
  • Pediatrics
  • Sociology

Background:

  • Chinese Americans are the largest and fastest-growing Asian American subgroup.
  • Nearly one-third of Chinese American children aged 6-11 are overweight, contradicting stereotypes.
  • Overweight and obesity pose unique and severe health risks for individuals of Chinese descent.

Purpose of the Study:

  • To identify factors across ecological levels (micro, meso, exo, macro, chronosystem) contributing to overweight/obesity in Chinese immigrant children in the U.S.
  • To propose mediating and moderating processes among these factors.
  • To provide a framework for future interdisciplinary research on childhood obesity in this population.

Main Methods:

  • Literature review guided by Bronfenbrenner's ecological systems theory.
  • Identification of contextual factors influencing overweight/obesity risk.
  • Analysis of mediating and moderating processes.

Main Results:

  • Multiple ecological factors at individual, family, community, and societal levels may contribute to childhood overweight/obesity.
  • Specific mediating and moderating processes were proposed within the ecological framework.
  • Existing literature on childhood obesity has largely neglected Chinese immigrant children.

Conclusions:

  • A comprehensive ecological framework is needed to understand and address childhood obesity among Chinese immigrant children.
  • Further interdisciplinary research is crucial to develop targeted interventions.
  • Addressing this understudied population is vital for public health equity.

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