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Influence of Neighborhood Environment on Korean Adult Obesity Using a Bayesian Spatial Multilevel Model

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  • Eun Young Lee

    (Institute for Health and Society, Hanyang University, Seoul 04763, Korea
    Department of Preventive Medicine, College of Medicine, Hanyang University, Seoul 04763, Korea)

  • Sugie Lee

    (Department of Urban Planning and Engineering, Hanyang University, Seoul 04763, Korea)

  • Bo Youl Choi

    (Institute for Health and Society, Hanyang University, Seoul 04763, Korea
    Department of Preventive Medicine, College of Medicine, Hanyang University, Seoul 04763, Korea)

  • Jungsoon Choi

    (Department of Mathematics, Hanyang University, Seoul 04763, Korea)

Abstract

Previous studies using spatial statistical modeling that account for spatial associations between geographic areas are scarce. Therefore, this study examines the association between neighborhood environment and obesity using a Bayesian spatial multilevel model. Data from 78,014 adults living in Gyeonggi province in Korea were drawn from the 2013–2014 Korean Community Health Survey. Korean government databases and ArcGIS software (version 10.1, ESRI, Redlands, CA) were used to measure the neighborhood environment for 546 administrative districts of Gyeonggi province. A Bayesian spatial multilevel model was implemented across gender and age groups. The findings indicate that women aged 19–39 years who lived in neighborhoods farthest away from parks were more likely to be obese. Men aged 40–59 years who lived in neighborhoods farther from public physical activity facilities and with lower population density were more likely to be obese. Obesity for women aged 19–39 years was the most spatially dependent, while obesity for women aged 40–59 years was the least spatially dependent. The results suggest that neighborhood environments that provide more opportunities for physical activity are negatively related to obesity. Therefore, the creation of physical activity in favorable neighborhood environments, considering gender and age, may be a valuable strategy to reduce obesity.

Suggested Citation

  • Eun Young Lee & Sugie Lee & Bo Youl Choi & Jungsoon Choi, 2019. "Influence of Neighborhood Environment on Korean Adult Obesity Using a Bayesian Spatial Multilevel Model," IJERPH, MDPI, vol. 16(20), pages 1-15, October.
  • Handle: RePEc:gam:jijerp:v:16:y:2019:i:20:p:3991-:d:278156
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    References listed on IDEAS

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    1. Hee-Jung Jun & Mi Namgung, 2018. "Gender Difference and Spatial Heterogeneity in Local Obesity," IJERPH, MDPI, vol. 15(2), pages 1-17, February.
    2. Jin-Won Noh & Minkyung Jo & Taewook Huh & Jooyoung Cheon & Young Dae Kwon, 2014. "Gender Differences and Socioeconomic Status in Relation to Overweight among Older Korean People," PLOS ONE, Public Library of Science, vol. 9(5), pages 1-9, May.
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    4. Steffen Andreas Schüle & Gabriele Bolte, 2015. "Interactive and Independent Associations between the Socioeconomic and Objective Built Environment on the Neighbourhood Level and Individual Health: A Systematic Review of Multilevel Studies," PLOS ONE, Public Library of Science, vol. 10(4), pages 1-31, April.
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    Cited by:

    1. Eun Young Lee & Jungsoon Choi & Sugie Lee & Bo Youl Choi, 2021. "Objectively Measured Built Environments and Cardiovascular Diseases in Middle-Aged and Older Korean Adults," IJERPH, MDPI, vol. 18(4), pages 1-17, February.

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