IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v20y2023i23p7122-d1291167.html
   My bibliography  Save this article

Race- and Gender-Specific Associations between Neighborhood-Level Socioeconomic Status and Body Mass Index: Evidence from the Southern Community Cohort Study

Author

Listed:
  • Lauren Giurini

    (Department of Population Health Sciences, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI 53705, USA
    Carbone Cancer Center, University of Wisconsin-Madison, Madison, WI 53705, USA)

  • Loren Lipworth

    (Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN 37232, USA)

  • Harvey J. Murff

    (Department of Medicine, Vanderbilt University Medical Center, Nashville, TN 37232, USA)

  • Wei Zheng

    (Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN 37232, USA)

  • Shaneda Warren Andersen

    (Department of Population Health Sciences, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI 53705, USA
    Carbone Cancer Center, University of Wisconsin-Madison, Madison, WI 53705, USA
    Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN 37232, USA)

Abstract

Obesity and a low socioeconomic status (SES), measured at the neighborhood level, are more common among Americans of Black race and with a low individual-level SES. We examined the association between the neighborhood SES and body mass index (BMI) using data from 80,970 participants in the Southern Community Cohort Study, a cohort that oversamples Black and low-SES participants. BMI (kg/m 2 ) was examined both continuously and categorically using cut points defined by the CDC. Neighborhood SES was measured using a neighborhood deprivation index composed of census-tract variables in the domains of education, employment, occupation, housing, and poverty. Generally, the participants in lower-SES neighborhoods were more likely to have a higher BMI and to be considered obese. We found effect modification by race and sex, where the neighborhood-BMI association was most apparent in White female participants in all the quintiles of the neighborhood SES (OR Q2 = 1.55, 95%CI = 1.34, 1.78; OR Q3 = 1.71, 95%CI = 1.48, 1.98; OR Q4 = 1.76, 95%CI = 1.52, 2.03; OR Q5 = 1.64, 95%SE = 1.39, 1.93). Conversely, the neighborhood-BMI association was mostly null in Black male participants (OR Q2 = 0.91, 95%CI = 0.72, 1.15; OR Q3 = 1.05, 95%CI = 0.84, 1.31; β Q4 = 1.00, 95%CI = 0.81, 1.23; OR Q5 = 0.76, 95%CI = 0.63, 0.93). Within all the subgroups, the associations were attenuated or null in participants residing in the lowest-SES neighborhoods. These findings suggest that the associations between the neighborhood SES and BMI vary, and that other factors aside from the neighborhood SES may better predict the BMI in Black and low-SES groups.

Suggested Citation

  • Lauren Giurini & Loren Lipworth & Harvey J. Murff & Wei Zheng & Shaneda Warren Andersen, 2023. "Race- and Gender-Specific Associations between Neighborhood-Level Socioeconomic Status and Body Mass Index: Evidence from the Southern Community Cohort Study," IJERPH, MDPI, vol. 20(23), pages 1-11, November.
  • Handle: RePEc:gam:jijerp:v:20:y:2023:i:23:p:7122-:d:1291167
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/20/23/7122/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/20/23/7122/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Signorello, L.B. & Cohen, S.S. & Williams, D.R. & Munro, H.M. & Hargreaves, M.K. & Blot, W.J., 2014. "Socioeconomic status, race, and mortality: A prospective cohort study," American Journal of Public Health, American Public Health Association, vol. 104(12), pages 98-107.
    2. Zenk, S.N. & Powell, L.M. & Rimkus, L. & Isgor, Z. & Barker, D.C. & Ohri-Vachaspati, P. & Chaloupka, F., 2014. "Relative and absolute availability of healthier food and beverage alternatives across communities in the United States," American Journal of Public Health, American Public Health Association, vol. 104(11), pages 2170-2178.
    3. Hilmers, A. & Hilmers, D.C. & Dave, J., 2012. "Neighborhood disparities in access to healthy foods and their effects on environmental justice," American Journal of Public Health, American Public Health Association, vol. 102(9), pages 1644-1654.
    4. Maarit Piirtola & Aline Jelenkovic & Antti Latvala & Reijo Sund & Chika Honda & Fujio Inui & Mikio Watanabe & Rie Tomizawa & Yoshinori Iwatani & Juan R Ordoñana & Juan F Sánchez-Romera & Lucia Colodro, 2018. "Association of current and former smoking with body mass index: A study of smoking discordant twin pairs from 21 twin cohorts," PLOS ONE, Public Library of Science, vol. 13(7), pages 1-17, July.
    5. Ana Isabel Ribeiro & Joana Amaro & Cosima Lisi & Silvia Fraga, 2018. "Neighborhood Socioeconomic Deprivation and Allostatic Load: A Scoping Review," IJERPH, MDPI, vol. 15(6), pages 1-15, May.
    6. Morgan Clennin & Asia Brown & Min Lian & Marsha Dowda & Natalie Colabianchi & Russell R. Pate, 2020. "Neighborhood Socioeconomic Deprivation Associated with Fat Mass and Weight Status in Youth," IJERPH, MDPI, vol. 17(17), pages 1-12, September.
    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. Chelsea R. Singleton & Yu Li & Ana Clara Duran & Shannon N. Zenk & Angela Odoms-Young & Lisa M. Powell, 2017. "Food and Beverage Availability in Small Food Stores Located in Healthy Food Financing Initiative Eligible Communities," IJERPH, MDPI, vol. 14(10), pages 1-12, October.
    2. Yeeli Mui & Ellis Ballard & Eli Lopatin & Rachel L J Thornton & Keshia M Pollack Porter & Joel Gittelsohn, 2019. "A community-based system dynamics approach suggests solutions for improving healthy food access in a low-income urban environment," PLOS ONE, Public Library of Science, vol. 14(5), pages 1-13, May.
    3. Sékou Samadoulougou & Laurence Letarte & Alexandre Lebel, 2022. "Association between Neighbourhood Deprivation Trajectories and Self-Perceived Health: Analysis of a Linked Survey and Health Administrative Data," IJERPH, MDPI, vol. 20(1), pages 1-14, December.
    4. Chenarides, Lauren & Bonanno, Alessandro & Palmer, Anne & Clancy, Kate, 2014. "Perceived Barriers to Purchasing Healthy Foods vs. Access in Underserved Areas across the Northeast," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 170606, Agricultural and Applied Economics Association.
    5. Kristi Pullen Fedinick & Ilch Yiliqi & Yukyan Lam & David Lennett & Veena Singla & Miriam Rotkin-Ellman & Jennifer Sass, 2021. "A Cumulative Framework for Identifying Overburdened Populations under the Toxic Substances Control Act: Formaldehyde Case Study," IJERPH, MDPI, vol. 18(11), pages 1-13, June.
    6. Mishra, Sabyasachee & Sharma, Ishant & Pani, Agnivesh, 2023. "Analyzing autonomous delivery acceptance in food deserts based on shopping travel patterns," Transportation Research Part A: Policy and Practice, Elsevier, vol. 169(C).
    7. Shan Zhou & Douglas S. Noonan, 2019. "Justice Implications of Clean Energy Policies and Programs in the United States: A Theoretical and Empirical Exploration," Sustainability, MDPI, vol. 11(3), pages 1-20, February.
    8. Kristie S. Gutierrez & Catherine E. LePrevost, 2016. "Climate Justice in Rural Southeastern United States: A Review of Climate Change Impacts and Effects on Human Health," IJERPH, MDPI, vol. 13(2), pages 1-21, February.
    9. repec:spo:wpmain:info:hdl:2441/7po41o0s2r8a280jp65ahvu46k is not listed on IDEAS
    10. Hunt Allcott & Rebecca Diamond & Jean-Pierre Dubé & Jessie Handbury & Ilya Rahkovsky & Molly Schnell, 2019. "Food Deserts and the Causes of Nutritional Inequality," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 134(4), pages 1793-1844.
    11. Shawna Beese & Julie Postma & Janessa M. Graves, 2022. "Allostatic Load Measurement: A Systematic Review of Reviews, Database Inventory, and Considerations for Neighborhood Research," IJERPH, MDPI, vol. 19(24), pages 1-23, December.
    12. Shervin Assari & Maryam Moghani Lankarani, 2018. "Educational Attainment Promotes Fruit and Vegetable Intake for Whites but Not Blacks," J, MDPI, vol. 1(1), pages 1-13, June.
    13. Wu, Qiyan & Zhang, Xiaoling & Liu, Chunhui & Chen, Zhou, 2018. "The de-industrialization, re-suburbanization and health risks of brownfield land reuse: Case study of a toxic soil event in Changzhou, China," Land Use Policy, Elsevier, vol. 74(C), pages 187-194.
    14. Jeremy Mennis & Gerald J. Stahler & Michael J. Mason, 2016. "Risky Substance Use Environments and Addiction: A New Frontier for Environmental Justice Research," IJERPH, MDPI, vol. 13(6), pages 1-15, June.
    15. Young, Jeffrey S. & Binkley, James K., 2020. "Low Income and Access to Healthy Food: The Case of Milk," 2020 Annual Meeting, July 26-28, Kansas City, Missouri 304539, Agricultural and Applied Economics Association.
    16. Merin Oleschuk, 2024. "Expanding the joys of cooking: How class shapes the emotional experience of family foodwork," Gender, Work and Organization, Wiley Blackwell, vol. 31(3), pages 885-902, May.
    17. Bailey Houghtaling & Matthew Greene & Kaustubh V. Parab & Chelsea R. Singleton, 2022. "Improving Fruit and Vegetable Accessibility, Purchasing, and Consumption to Advance Nutrition Security and Health Equity in the United States," IJERPH, MDPI, vol. 19(18), pages 1-12, September.
    18. Leng, Ganxiao & Filipski, Mateusz J. & Qiu, Huanguang, 2022. "Impacts of City Life on Nutrition: Evidence from Resettlement Lotteries in China," 2022 Annual Meeting, July 31-August 2, Anaheim, California 322130, Agricultural and Applied Economics Association.
    19. Cleo Valentine, 2023. "Architectural Allostatic Overloading: Exploring a Connection between Architectural Form and Allostatic Overloading," IJERPH, MDPI, vol. 20(9), pages 1-14, April.
    20. Jackson, Pamela & Spector, Antoinette L. & Strath, Larissa J. & Antoine, Lisa H. & Li, Peng & Goodin, Burel R. & Hidalgo, Bertha A. & Kempf, Mirjam-Colette & Gonzalez, Cesar E. & Jones, Alana C. & Fos, 2023. "Epigenetic age acceleration mediates the relationship between neighborhood deprivation and pain severity in adults with or at risk for knee osteoarthritis pain," Social Science & Medicine, Elsevier, vol. 331(C).
    21. Tyler Andrew Scott & Nicola Ulibarri & Omar Perez Figueroa, 2020. "NEPA and National Trends in Federal Infrastructure Siting in the United States," Review of Policy Research, Policy Studies Organization, vol. 37(5), pages 605-633, September.

    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:20:y:2023:i:23:p:7122-:d:1291167. 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.