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Neighborhood Conditions and Type 2 Diabetes Risk among Latino Adolescents with Obesity in Phoenix

Author

Listed:
  • Connor M. Sheehan

    (School of Social and Family Dynamics, Arizona State University, Tempe, AZ 85281, USA)

  • Esther E. Gotlieb

    (Southwest Interdisciplinary Research Center, School of Social Work, Arizona State University, Phoenix, AZ 85004, USA)

  • Stephanie L. Ayers

    (Southwest Interdisciplinary Research Center, School of Social Work, Arizona State University, Phoenix, AZ 85004, USA)

  • Daoqin Tong

    (School of Geographical Sciences & Urban Planning, Arizona State University, Tempe, AZ 85281, USA)

  • Sabrina Oesterle

    (Southwest Interdisciplinary Research Center, School of Social Work, Arizona State University, Phoenix, AZ 85004, USA)

  • Sonia Vega-López

    (College of Health Solutions and Southwest Interdisciplinary Research Center, Arizona State University, Phoenix, AZ 85004, USA)

  • Wendy Wolfersteig

    (School of Social Work, Arizona State University, Tempe, AZ 85281, USA)

  • Dulce María Ruelas

    (College of Nursing & Healthcare Professions, Grand Canyon University, Phoenix, AZ 85017, USA)

  • Gabriel Q. Shaibi

    (Center for Health Promotion and Disease Prevention, Edson College of Nursing and Health Innovation, Arizona State University, Phoenix, AZ 85004, USA)

Abstract

Type 2 Diabetes (T2D) has reached epidemic levels among the pediatric population. Furthermore, disparities in T2D among youth are distributed in a manner that reflects the social inequality between population sub-groups. Here, we investigated the neighborhood determinants of T2D risk among a sample of Latino adolescents with obesity residing in Phoenix, Arizona ( n = 133). In doing so we linked together four separate contextual data sources: the American Community Survey, the United States Department of Agriculture Food Access Research Atlas, the Arizona Healthy Community Map, and the National Neighborhood Data Archive to systematically analyze how and which neighborhood characteristics were associated with T2D risk factors as measured by fasting and 2-h glucose following a 75 g oral glucose tolerance test. Using linear regression models with and without individual/household covariates, we investigated how twenty-two housing and transportation sociodemographic and built and food environment characteristics were independently and jointly associated with T2D risk. The main finding from these analyses was the strong association between the density of fast food restaurants and 2-h glucose values (b = 2.42, p < 0.01). This association was independent of individual, household, and other neighborhood characteristics. Our results contribute to an increasingly robust literature demonstrating the deleterious influence of the neighborhood food environment, especially fast food, for T2D risk among Latino youth.

Suggested Citation

  • Connor M. Sheehan & Esther E. Gotlieb & Stephanie L. Ayers & Daoqin Tong & Sabrina Oesterle & Sonia Vega-López & Wendy Wolfersteig & Dulce María Ruelas & Gabriel Q. Shaibi, 2022. "Neighborhood Conditions and Type 2 Diabetes Risk among Latino Adolescents with Obesity in Phoenix," IJERPH, MDPI, vol. 19(13), pages 1-18, June.
  • Handle: RePEc:gam:jijerp:v:19:y:2022:i:13:p:7920-:d:850443
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    References listed on IDEAS

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    1. Raj Chetty & Nathaniel Hendren, 2018. "The Impacts of Neighborhoods on Intergenerational Mobility II: County-Level Estimates," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 133(3), pages 1163-1228.
    2. William Frey & Reynolds Farley, 1996. "Latino, Asian, and black segregation in U.S. metropolitan areas: Are multiethnic metros different," Demography, Springer;Population Association of America (PAA), vol. 33(1), pages 35-50, February.
    3. Raj Chetty & Nathaniel Hendren, 2018. "The Impacts of Neighborhoods on Intergenerational Mobility I: Childhood Exposure Effects," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 133(3), pages 1107-1162.
    4. 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.
    5. William Clark & Regan Maas, 2012. "Schools, Neighborhoods and Selection: Outcomes Across Metropolitan Los Angeles," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 31(3), pages 339-360, June.
    6. Franck, C. & Grandi, S.M. & Eisenberg, M.J., 2013. "Taxing junk food to counter obesity," American Journal of Public Health, American Public Health Association, vol. 103(11), pages 1949-1953.
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    1. Szu-Ting Yang & Chia-Hao Liu & Sheng-Hsiang Ma & Wen-Hsun Chang & Yi-Jen Chen & Wen-Ling Lee & Peng-Hui Wang, 2022. "Association between Pre-Pregnancy Overweightness/Obesity and Pregnancy Outcomes in Women with Polycystic Ovary Syndrome: A Systematic Review and Meta-Analysis," IJERPH, MDPI, vol. 19(15), pages 1-16, July.

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