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Ethnicity, Neighborhood and Individual Socioeconomic Status, and Obesity: The Singapore Multiethnic Cohort

  • Su Hyun Park*
  • , Mary Nicolaou
  • , Borame Sue Lee Dickens
  • , Qianyu Yang
  • , Ken Wei Tan
  • , Rob M. van Dam*
  • *Corresponding author for this work
  • Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore
  • Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, Singapore
  • Harvard University

Research output: Contribution to journalArticleAcademicpeer-review

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Abstract

Objective: It remains unclear whether ethnicity has an impact on obesity independent of socioeconomic status (SES) and environmental factors. Singapore provides a unique opportunity to address this issue because three major Asian ethnic groups are represented, and government policies prevent ethnic segregation. Therefore this study examined associations between ethnicity, SES, and obesity within neighborhoods in Singapore. Methods: Cross-sectional data from 29,819 participants of the Singapore Multiethnic Cohort who were aged 21 to 75 years and of Chinese, Malay, and Indian ethnicity were used. Obesity was defined using Asian criteria. Multilevel models used obesity as the dependent variable and age, marital status, ethnicity, education level, income, and neighborhood SES as independent variables. Results: Education level was more strongly inversely associated with obesity than income level or neighborhood SES. The association between ethnicity and obesity was not substantially explained by measures of individual and neighborhood SES. In females, the fully adjusted odds ratio of obesity was 5.01 for Malay ethnicity and 4.81 for Indian ethnicity as compared with Chinese ethnicity. In males, these odds ratios were 2.61 and 2.07, respectively. Conclusions: Ethnicity was strongly associated with obesity independent of SES and neighborhood environment. More research on sociocultural factors contributing to ethnic differences in obesity is warranted.
Original languageEnglish
Pages (from-to)2405-2413
Number of pages9
JournalObesity (Silver Spring, Md.)
Volume28
Issue number12
Early online date2020
DOIs
Publication statusPublished - Dec 2020

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being
  2. SDG 10 - Reduced Inequalities
    SDG 10 Reduced Inequalities

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