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Gender Differences and Socioeconomic Status in Relation to Overweight among Older Korean People

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  • Jin-Won Noh
  • Minkyung Jo
  • Taewook Huh
  • Jooyoung Cheon
  • Young Dae Kwon

Abstract

Background: The ever-increasing older population and its association with serious overweight problems have garnered much attention. The correlation between being overweight and socioeconomic status factors could be helpful for understanding the inequalities among the overweight population. We examined the correlation between being overweight and some key variables, such as demographics, socioeconomic status, general health status, and health behavior in a large sample of older individuals, by each gender. Methods: We used data from the 2008 Korean Longitudinal Study of Aging and it included 8,157 participants who were 45 years or older. To understand the relationship between the overweight participants in accordance to demographic and socioeconomic characteristics, health status, and health behaviors, a weighted chi-square test and logistic regression analysis were conducted by separating variables related to overweight, according to the genders. Results: The number of people in the normal group was 6,347 (77.8%), while the people who were considered overweight were 1,810 (22.2%). Women (n = 4,583) constituted 52.7% of the subject, 24.9% of whom were classified as overweight. Meanwhile, 20.6% of the 47.3% (n = 3,574) of the sample who were men were classified as overweight. Participants between the ages of 45 and 64 with chronic diseases were more likely to be overweight. Men in the 4th quartile of household income were more likely to be overweight than those who were in the 1st quartile, in contrast, while unemployed women with lower education levels and urban residents were at greater risk for being overweight. Conclusions: Among the men, health status and health behavior appeared to show a correlation with being overweight; however, among women, socioeconomic status factors were strongly related to being overweight. These findings appear to support the association of gender-specifics with the prevalence of being overweight.

Suggested Citation

  • 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.
  • Handle: RePEc:plo:pone00:0097990
    DOI: 10.1371/journal.pone.0097990
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    References listed on IDEAS

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    1. Ball, Kylie & Crawford, David, 2005. "Socioeconomic status and weight change in adults: a review," Social Science & Medicine, Elsevier, vol. 60(9), pages 1987-2010, May.
    2. Sund, Erik Reidar & Jones, Andy & Midthjell, Kristian, 2010. "Individual, family, and area predictors of BMI and BMI change in an adult Norwegian population: Findings from the HUNT study," Social Science & Medicine, Elsevier, vol. 70(8), pages 1194-1202, April.
    3. Wells, Jonathan C.K. & Marphatia, Akanksha A. & Cole, Tim J. & McCoy, David, 2012. "Associations of economic and gender inequality with global obesity prevalence: Understanding the female excess," Social Science & Medicine, Elsevier, vol. 75(3), pages 482-490.
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    Cited by:

    1. Nam Jeong Jeong & Eunil Park & Angel P. del Pobil, 2021. "Effects of Behavioral Risk Factors and Social-Environmental Factors on Non-Communicable Diseases in South Korea: A National Survey Approach," IJERPH, MDPI, vol. 18(2), pages 1-11, January.
    2. 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.
    3. Andrea Serge & Johana Quiroz Montoya & Francisco Alonso & Luis Montoro, 2021. "Socioeconomic Status, Health and Lifestyle Settings as Psychosocial Risk Factors for Road Crashes in Young People: Assessing the Colombian Case," IJERPH, MDPI, vol. 18(3), pages 1-22, January.

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