IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v18y2021i24p13370-d705957.html
   My bibliography  Save this article

Socioeconomic Vulnerability Index and Obesity among Korean Adults

Author

Listed:
  • Eunok Park

    (College of Nursing, Jeju National University, Jeju 63243, Korea)

  • Young Ko

    (College of Nursing, Gachon University, Incheon 21936, Korea)

Abstract

Examining the socioeconomic vulnerability–obesity relationship is a different approach than comparing obesity rates according to the socioeconomic level. This study explored the socioeconomic vulnerability–obesity relationship among Korean adults. This secondary analysis used data from the Korea National Health and Nutrition Examination Survey, which were collected nationwide from participants aged 30–64 years. Seven socioeconomic indicators (education level, residential area, personal income level, household income level, food insecurity, house ownership, and national basic livelihood security beneficiary status) were used to create the socioeconomic vulnerability index. The prevalence of obesity was higher in the lowest socioeconomic vulnerability index quartile than in the highest socioeconomic vulnerability index quartile (odds ratio = 1.31; 95% confidence interval = 1.13–1.52) after adjusting for gender. When developing future interventions for the prevention and management of obesity, health care providers and researchers need to consider the differences in socioeconomic vulnerability index in adults.

Suggested Citation

  • Eunok Park & Young Ko, 2021. "Socioeconomic Vulnerability Index and Obesity among Korean Adults," IJERPH, MDPI, vol. 18(24), pages 1-8, December.
  • Handle: RePEc:gam:jijerp:v:18:y:2021:i:24:p:13370-:d:705957
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/18/24/13370/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/18/24/13370/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Silvia H. Barcellos & Leandro S. Carvalho & Patrick Turley, 2018. "Education can reduce health differences related to genetic risk of obesity," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 115(42), pages 9765-9772, October.
    Full references (including those not matched with items on IDEAS)

    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. Prakash, Kushneel & Munyanyi, Musharavati Ephraim, 2021. "Energy poverty and obesity," Energy Economics, Elsevier, vol. 101(C).
    2. Barban, Nicola & De Cao, Elisabetta & Oreffice, Sonia & Quintana-Domeque, Climent, 2021. "The effect of education on spousal education: A genetic approach," Labour Economics, Elsevier, vol. 71(C).
    3. von Hinke, Stephanie & Sørensen, Emil N., 2023. "The long-term effects of early-life pollution exposure: Evidence from the London smog," Journal of Health Economics, Elsevier, vol. 92(C).
    4. Nicola Barban & Elisabetta De Cao & Marco Francesconi, 2021. "Gene-Environment Effects on Female Fertility," CESifo Working Paper Series 9337, CESifo.
    5. Atticus Bolyard & Peter Savelyev, 2021. "Understanding the Educational Attainment Polygenic Score and its Interactions with SES in Determining Health in Young Adulthood," Working Papers 2021-026, Human Capital and Economic Opportunity Working Group.
    6. Raquel Fonseca & Pierre-Carl Michaud & Yuhui Zheng, 2020. "The effect of education on health: evidence from national compulsory schooling reforms," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 11(1), pages 83-103, March.
    7. Amin, Vikesh & Behrman, Jere R. & Fletcher, Jason M. & Flores, Carlos A. & Flores-Lagunes, Alfonso & Kohler, Hans-Peter, 2019. "Mental Health, Schooling Attainment and Polygenic Scores: Are There Significant Gene-Environment Associations?," GLO Discussion Paper Series 362, Global Labor Organization (GLO).
    8. Andrea G Allegrini & Ville Karhunen & Jonathan R I Coleman & Saskia Selzam & Kaili Rimfeld & Sophie von Stumm & Jean-Baptiste Pingault & Robert Plomin, 2020. "Multivariable G-E interplay in the prediction of educational achievement," PLOS Genetics, Public Library of Science, vol. 16(11), pages 1-20, November.
    9. Domingue, Benjamin & Trejo, Sam & Armstrong-Carter, Emma & Tucker-Drob, Elliot M., 2020. "Interactions between polygenic scores and environments: Methodological and conceptual challenges," SocArXiv u7sh4, Center for Open Science.
    10. Silvia H. Barcellos & Leandro Carvalho & Patrick Turley, 2021. "The Effect of Education on the Relationship between Genetics, Early-Life Disadvantages, and Later-Life SES," NBER Working Papers 28750, National Bureau of Economic Research, Inc.
    11. Biroli, Pietro & Zwyssig, Laura, 2021. "Moral Hazard Heterogeneity: Genes and Health Insurance Influence Smoking after a Health Shock," IZA Discussion Papers 14176, Institute of Labor Economics (IZA).
    12. Adriana Lleras‐Muney, 2022. "Education and income gradients in longevity: The role of policy," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 55(1), pages 5-37, February.
    13. Savelyev, Peter A. & Ward, Benjamin C. & Krueger, Robert F. & McGue, Matt, 2022. "Health endowments, schooling allocation in the family, and longevity: Evidence from US twins," Journal of Health Economics, Elsevier, vol. 81(C).
    14. Janke, Katharina & Johnston, David W. & Propper, Carol & Shields, Michael A., 2020. "The causal effect of education on chronic health conditions in the UK," Journal of Health Economics, Elsevier, vol. 70(C).
    15. Awaworyi Churchill, Sefa & Koomson, Isaac & Munyanyi, Musharavati Ephraim, 2023. "Transport poverty and obesity: The mediating roles of social capital and physical activity," Transport Policy, Elsevier, vol. 130(C), pages 155-166.
    16. Pietro Biroli & Titus Galama & Stephanie von Hinke & Hans van Kippersluis & Kevin Thom, 2022. "Economics and Econometrics of Gene-Environment Interplay," Bristol Economics Discussion Papers 22/759, School of Economics, University of Bristol, UK.
    17. Victor Ronda & Esben Agerbo & Dorthe Bleses & Preben Bo Mortensen & Anders Børglum & Ole Mors & Michael Rosholm & David M. Hougaard & Merete Nordentoft & Thomas Werge, 2022. "Family disadvantage, gender, and the returns to genetic human capital," Scandinavian Journal of Economics, Wiley Blackwell, vol. 124(2), pages 550-578, April.
    18. Pereira, Rita & Biroli, Pietro & von hinke, stephanie & Van Kippersluis, Hans & Galama, Titus & Rietveld, Niels & Thom, Kevin, 2022. "Gene-Environment Interplay in the Social Sciences," OSF Preprints d96z3, Center for Open Science.
    19. Lleras-Muney, Adriana & Price, Joseph & Yue, Dahai, 2022. "The association between educational attainment and longevity using individual-level data from the 1940 census," Journal of Health Economics, Elsevier, vol. 84(C).
    20. Brunello, Giorgio & Sanz-de-Galdeano, Anna & Terskaya, Anastasia, 2020. "Not only in my genes: The effects of peers’ genotype on obesity," Journal of Health Economics, Elsevier, vol. 72(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:18:y:2021:i:24:p:13370-:d:705957. 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.