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Self-assessed health status and obesity vulnerability in rural Louisiana: A cross-sectional analysis

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  • Santosh Pathak
  • Hua Wang
  • Katherine Seals
  • Naveen C Adusumilli
  • Denise Holston

Abstract

Rural communities are resource-constrained and at higher risk of obesity and obesity-related conditions. Thus, studying self-assessed health status and underlying vulnerabilities is critical to provide insights to the program planners for effective and efficient planning of obesity prevention programs. This study aims to investigate the correlates of self-assessed health status and subsequently determine the obesity vulnerability level of residents in rural communities. Randomly sampled data were obtained from in-person community surveys in three rural Louisiana counties–East Carroll, Saint Helena, and Tensas–in June 2021. The association of social-demographic factors, grocery store choice, and exercise frequency with self-assessed health was investigated using the ordered logit model. An obesity vulnerability index was constructed using the weights obtained from the principal component analysis. The results show that gender, race, education, possession of children, exercise frequency, and grocery store choice significantly influence self-assessed health status. Around 20% of respondents fall into the most-vulnerable segment and 65% of respondents are vulnerable to obesity. The obesity vulnerability index ranged from -4.036 to 4.565, indicating a wide heterogeneity in the vulnerability level of rural residents. The findings show that the self-assessed health status of rural residents is not promising along with a high level of vulnerability to obesity. The findings from this study could serve as a reference in the policy discussion regarding an effective and efficient suite of interventions in rural communities to address obesity and promote well-being.

Suggested Citation

  • Santosh Pathak & Hua Wang & Katherine Seals & Naveen C Adusumilli & Denise Holston, 2023. "Self-assessed health status and obesity vulnerability in rural Louisiana: A cross-sectional analysis," PLOS ONE, Public Library of Science, vol. 18(6), pages 1-16, June.
  • Handle: RePEc:plo:pone00:0287181
    DOI: 10.1371/journal.pone.0287181
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    1. Steven A Cohen & Mary L Greaney & Natalie J Sabik, 2018. "Assessment of dietary patterns, physical activity and obesity from a national survey: Rural-urban health disparities in older adults," PLOS ONE, Public Library of Science, vol. 13(12), pages 1-15, December.
    2. Mark B. Stewart, 2004. "Semi-nonparametric estimation of extended ordered probit models," Stata Journal, StataCorp LLC, vol. 4(1), pages 27-39, March.
    3. Niclas Berggren & Martin Ljunge, 2021. "Good Faith and Bad Health: Self-Assessed Religiosity and Self-Assessed Health of Women and Men in Europe," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 153(1), pages 323-344, January.
    4. Joanna Jurewicz & Dorota Kaleta, 2020. "Correlates of Poor Self-Assessed Health Status among Socially Disadvantaged Populations in Poland," IJERPH, MDPI, vol. 17(4), pages 1-18, February.
    5. S. Balica & N. Wright & F. Meulen, 2012. "A flood vulnerability index for coastal cities and its use in assessing climate change impacts," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 64(1), pages 73-105, October.
    6. Susan L. Cutter & Bryan J. Boruff & W. Lynn Shirley, 2003. "Social Vulnerability to Environmental Hazards," Social Science Quarterly, Southwestern Social Science Association, vol. 84(2), pages 242-261, June.
    7. Llorca, Manuel & Rodriguez-Alvarez, Ana & Jamasb, Tooraj, 2020. "Objective vs. subjective fuel poverty and self-assessed health," Energy Economics, Elsevier, vol. 87(C).
    8. Candice A Myers & Tim Slack & Corby K Martin & Stephanie T Broyles & Steven B Heymsfield, 2016. "Change in Obesity Prevalence across the United States Is Influenced by Recreational and Healthcare Contexts, Food Environments, and Hispanic Populations," PLOS ONE, Public Library of Science, vol. 11(2), pages 1-12, February.
    9. Gintare Mazeikaite & Cathal O’Donoghue & Denisa M. Sologon, 2019. "The Great Recession, financial strain and self-assessed health in Ireland," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 20(4), pages 579-596, June.
    10. Franks, Peter & Gold, Marthe R. & Fiscella, Kevin, 2003. "Sociodemographics, self-rated health, and mortality in the US," Social Science & Medicine, Elsevier, vol. 56(12), pages 2505-2514, June.
    11. Au, Nicole & Johnston, David W., 2014. "Self-assessed health: What does it mean and what does it hide?," Social Science & Medicine, Elsevier, vol. 121(C), pages 21-28.
    12. J. Scott Long & Jeremy Freese, 2006. "Regression Models for Categorical Dependent Variables using Stata, 2nd Edition," Stata Press books, StataCorp LLC, edition 2, number long2, July.
    13. Christine L Gray & Lynne C Messer & Kristen M Rappazzo & Jyotsna S Jagai & Shannon C Grabich & Danelle T Lobdell, 2018. "The association between physical inactivity and obesity is modified by five domains of environmental quality in U.S. adults: A cross-sectional study," PLOS ONE, Public Library of Science, vol. 13(8), pages 1-14, August.
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