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Neighborhoods and obesity in later life

Author

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  • Grafova, I.B.
  • Freedman, V.A.
  • Kumar, R.
  • Rogowski, J.

Abstract

Objectives. We examined the influence of neighborhood environment on the weight status of adults 55 years and older. Methods. We conducted a 2-level logistic regression analysis of data from the 2002 wave of the Health and Retirement Study. We included 8 neighborhood scales: economic advantage, economic disadvantage, air pollution, crime and segregation, street connectivity, density, immigrant concentration, and residential stability. Results. When we controlled for individual- and family-level confounders, living in a neighborhood with a high level of economic advantage was associated with a lower likelihood of being obese for both men (odds ratio [OR]=0.86; 95% confidence interval [CI]=0.80, 0.94) and women (OR=0.83; 95% CI=0.77, 0.89). Men living in areas with a high concentration of immigrants and women living in areas of high residential stability were more likely to be obese. Women living in areas of high street connectivity were less likely to be overweight or obese. Conclusions. The mechanisms by which neighborhood environment and weight status are linked in later life differ by gender, with economic and social environment aspects being important for men and built environment aspects being salient for women.

Suggested Citation

  • 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.
  • Handle: RePEc:aph:ajpbhl:10.2105/ajph.2007.127712_6
    DOI: 10.2105/AJPH.2007.127712
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    Cited by:

    1. 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.
    2. Zyuzina Lina A., 2018. "Empirical Analysis Of Lobbying Activities: Problems, Approaches, And Research Directions," Annals of marketing-mba, Department of Marketing, Marketing MBA (RSconsult), vol. 3, November.
    3. 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.
    4. Ramiro D. Bravo Santisteban & Young L. Kim & Umar Farooq & Tae-Seong Kim & Sekyoung Youm & Seung-Hun Park, 2016. "Environment and Its Influence on Health and Demographics in South Korea," IJERPH, MDPI, vol. 13(2), pages 1-10, February.
    5. Angela D. Liese & Xiaonan Ma & Brent Hutto & Patricia A. Sharpe & Bethany A. Bell & Sara Wilcox, 2017. "Food Shopping and Acquisition Behaviors in Relation to BMI among Residents of Low-Income Communities in South Carolina," IJERPH, MDPI, vol. 14(9), pages 1-15, September.
    6. 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.
    7. Laraia, Barbara A. & Karter, Andrew J. & Warton, E. Margaret & Schillinger, Dean & Moffet, Howard H. & Adler, Nancy, 2012. "Place matters: Neighborhood deprivation and cardiometabolic risk factors in the Diabetes Study of Northern California (DISTANCE)," Social Science & Medicine, Elsevier, vol. 74(7), pages 1082-1090.
    8. Won, Jaewoong & Lee, Chanam & Forjuoh, Samuel N. & Ory, Marcia G., 2016. "Neighborhood safety factors associated with older adults' health-related outcomes: A systematic literature review," Social Science & Medicine, Elsevier, vol. 165(C), pages 177-186.
    9. Michael D. M. Bader & Marnie Purciel & Paulette Yousefzadeh & Kathryn M. Neckerman, 2010. "Disparities in Neighborhood Food Environments: Implications of Measurement Strategies," Economic Geography, Clark University, vol. 86(4), pages 409-430, October.
    10. Michael, Yvonne L. & Nagel, Corey L. & Gold, Rachel & Hillier, Teresa A., 2014. "Does change in the neighborhood environment prevent obesity in older women?," Social Science & Medicine, Elsevier, vol. 102(C), pages 129-137.
    11. Hee-Jung Jun & Mi Namgung, 2018. "Gender Difference and Spatial Heterogeneity in Local Obesity," IJERPH, MDPI, vol. 15(2), pages 1-17, February.
    12. 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.
    13. João Paulo dos Anjos Souza Barbosa & Paulo Henrique Guerra & Crislaine de Oliveira Santos & Ana Paula de Oliveira Barbosa Nunes & Gavin Turrell & Alex Antonio Florindo, 2019. "Walkability, Overweight, and Obesity in Adults: A Systematic Review of Observational Studies," IJERPH, MDPI, vol. 16(17), pages 1-17, August.
    14. Ryvicker, Miriam & Gallo, William T. & Fahs, Marianne C., 2012. "Environmental factors associated with primary care access among urban older adults," Social Science & Medicine, Elsevier, vol. 75(5), pages 914-921.
    15. 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.

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