IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v15y2018i2p311-d131271.html
   My bibliography  Save this article

Gender Difference and Spatial Heterogeneity in Local Obesity

Author

Listed:
  • Hee-Jung Jun

    (Department of Public Administration and Graduate School of Governance, Sungkyunkwan University, Seoul 03063, Korea)

  • Mi Namgung

    (Department of Urban Engineering, Pusan National University, Busan 46241, Korea)

Abstract

This study asks if there is gender-specific spatial heterogeneity in local obesity. By using the 2015 Korea Community Health Survey and employing spatial analyses, this study found that there is considerable gender-specific spatial heterogeneity in local obesity rates. More specifically, we found that: (1) local obesity rates are more spatially dependent for women than for men; (2) environmental factors, in general, have stronger effects on local obesity rates for women than for men; (3) environmental factors have more spatially varying effects on local obesity rates for women than for men. Based on these findings, we suggest that policies for obesity prevention should not be based on the assumption of spatial homogeneity and gender indifference, but rather should be refined based on gender-specific spatial heterogeneity in local obesity.

Suggested Citation

  • Hee-Jung Jun & Mi Namgung, 2018. "Gender Difference and Spatial Heterogeneity in Local Obesity," IJERPH, MDPI, vol. 15(2), pages 1-17, February.
    • Handle: RePEc:gam:jijerp:v:15:y:2018:i:2:p:311-:d:131271
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/15/2/311/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/15/2/311/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Mouhcine Guettabi & Abdul Munasib, 2014. "“Space Obesity”: The Effect of Remoteness on County Obesity," Growth and Change, Wiley Blackwell, vol. 45(4), pages 518-548, December.
    2. Bhat, Chandra R. & Guo, Jessica Y., 2007. "A comprehensive analysis of built environment characteristics on household residential choice and auto ownership levels," Transportation Research Part B: Methodological, Elsevier, vol. 41(5), pages 506-526, June.
    3. Robert, Stephanie A. & Reither, Eric N., 2004. "A multilevel analysis of race, community disadvantage, and body mass index among adults in the US," Social Science & Medicine, Elsevier, vol. 59(12), pages 2421-2434, December.
    4. Jungah Kim & Changwoo Shon & Seonju Yi, 2017. "The Relationship between Obesity and Urban Environment in Seoul," IJERPH, MDPI, vol. 14(8), pages 1-12, August.
    5. Chang, Virginia W. & Christakis, Nicholas A., 2005. "Income inequality and weight status in US metropolitan areas," Social Science & Medicine, Elsevier, vol. 61(1), pages 83-96, July.
    6. Grafova, I.B. & Freedman, V.A. & Kumar, R. & Rogowski, J., 2008. "Neighborhoods and obesity in later life," American Journal of Public Health, American Public Health Association, vol. 98(11), pages 2065-2071.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Peter Congdon, 2019. "Obesity and Urban Environments," IJERPH, MDPI, vol. 16(3), pages 1-6, February.
    2. Mi Namgung & B. Elizabeth Mercado Gonzalez & Seungwoo Park, 2019. "The Role of Built Environment on Health of Older Adults in Korea: Obesity and Gender Differences," IJERPH, MDPI, vol. 16(18), pages 1-13, September.
    3. 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.
    4. Hee-Jung Jun & Seoyeon Park, 2019. "The Effect of Cross-Level Interaction between Community Factors and Social Capital among Individuals on Physical Activity: Considering Gender Difference," IJERPH, MDPI, vol. 16(3), pages 1-14, February.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Mi Namgung & B. Elizabeth Mercado Gonzalez & Seungwoo Park, 2019. "The Role of Built Environment on Health of Older Adults in Korea: Obesity and Gender Differences," IJERPH, MDPI, vol. 16(18), pages 1-13, September.
    2. Clément, Matthieu & Levasseur, Pierre & Seetahul, Suneha & Piaser, Lucie, 2021. "Does inequality have a silver lining? Municipal income inequality and obesity in Mexico," Social Science & Medicine, Elsevier, vol. 272(C).
    3. Pengxiang Zhao & Mei-Po Kwan & Suhong Zhou, 2018. "The Uncertain Geographic Context Problem in the Analysis of the Relationships between Obesity and the Built Environment in Guangzhou," IJERPH, MDPI, vol. 15(2), pages 1-20, February.
    4. Wen, Ming & Maloney, Thomas N., 2014. "Neighborhood socioeconomic status and BMI differences by immigrant and legal status: Evidence from Utah," Economics & Human Biology, Elsevier, vol. 12(C), pages 120-131.
    5. Grafova, Irina B. & Freedman, Vicki A. & Lurie, Nicole & Kumar, Rizie & Rogowski, Jeannette, 2014. "The difference-in-difference method: Assessing the selection bias in the effects of neighborhood environment on health," Economics & Human Biology, Elsevier, vol. 13(C), pages 20-33.
    6. Do, D. Phuong & Finch, Brian Karl & Basurto-Davila, Ricardo & Bird, Chloe & Escarce, Jose & Lurie, Nicole, 2008. "Does place explain racial health disparities? Quantifying the contribution of residential context to the Black/white health gap in the United States," Social Science & Medicine, Elsevier, vol. 67(8), pages 1258-1268, October.
    7. Darshan Zala, 2013. "Challenging The Spirit Level: Is There Really a Relationship between Inequality and Obesity?," Economic Affairs, Wiley Blackwell, vol. 33(2), pages 232-245, June.
    8. Gregory Pavela, 2017. "Is Childhood Socioeconomic Status Independently Associated with Adult BMI after Accounting for Adult and Neighborhood Socioeconomic Status?," PLOS ONE, Public Library of Science, vol. 12(1), pages 1-22, January.
    9. Matheson, Flora I. & Moineddin, Rahim & Glazier, Richard H., 2008. "The weight of place: A multilevel analysis of gender, neighborhood material deprivation, and body mass index among Canadian adults," Social Science & Medicine, Elsevier, vol. 66(3), pages 675-690, February.
    10. Hugh Gravelle & Matt Sutton, 2009. "Income, relative income, and self‐reported health in Britain 1979–2000," Health Economics, John Wiley & Sons, Ltd., vol. 18(2), pages 125-145, February.
    11. Kamruzzaman, Md. & Baker, Douglas & Washington, Simon & Turrell, Gavin, 2013. "Residential dissonance and mode choice," Journal of Transport Geography, Elsevier, vol. 33(C), pages 12-28.
    12. Ding, Chuan & Wang, Donggen & Liu, Chao & Zhang, Yi & Yang, Jiawen, 2017. "Exploring the influence of built environment on travel mode choice considering the mediating effects of car ownership and travel distance," Transportation Research Part A: Policy and Practice, Elsevier, vol. 100(C), pages 65-80.
    13. Ding, Yu & Lu, Huapu, 2016. "Activity participation as a mediating variable to analyze the effect of land use on travel behavior: A structural equation modeling approach," Journal of Transport Geography, Elsevier, vol. 52(C), pages 23-28.
    14. Xue, Fei & Yao, Enjian, 2022. "Impact analysis of residential relocation on ownership, usage, and carbon-dioxide emissions of private cars," Energy, Elsevier, vol. 252(C).
    15. Chetan Doddamani & M. Manoj, 2023. "Analysis of the influences of built environment measures on household car and motorcycle ownership decisions in Hubli-Dharwad cities," Transportation, Springer, vol. 50(1), pages 205-243, February.
    16. Jie Gao & Dick Ettema & Marco Helbich & Carlijn B. M. Kamphuis, 2019. "Travel mode attitudes, urban context, and demographics: do they interact differently for bicycle commuting and cycling for other purposes?," Transportation, Springer, vol. 46(6), pages 2441-2463, December.
    17. Chang, Virginia W., 2006. "Racial residential segregation and weight status among US adults," Social Science & Medicine, Elsevier, vol. 63(5), pages 1289-1303, September.
    18. Jou, Rong-Chang & Huang, Wen-Hsiu & Wu, Yuan-Chan & Chao, Ming-Che, 2012. "The asymmetric income effect on household vehicle ownership in Taiwan: A threshold cointegration approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(4), pages 696-706.
    19. Singh, Abhilash C. & Faghih Imani, Ahmadreza & Sivakumar, Aruna & Luna Xi, Yang & Miller, Eric J., 2024. "A joint analysis of accessibility and household trip frequencies by travel mode," Transportation Research Part A: Policy and Practice, Elsevier, vol. 181(C).
    20. Watanabe, Hajime & Maruyama, Takuya, 2024. "A Bayesian sample selection model with a binary outcome for handling residential self-selection in individual car ownership," Journal of choice modelling, Elsevier, vol. 51(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:15:y:2018:i:2:p:311-:d:131271. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.