IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v17y2020i17p6421-d408380.html
   My bibliography  Save this article

Neighborhood Socioeconomic Deprivation Associated with Fat Mass and Weight Status in Youth

Author

Listed:
  • Morgan Clennin

    (Institute for Health Research, Kaiser Permanente Colorado, Aurora, CO 80014, USA
    Department of Exercise Science, University of South Carolina, Columbia, SC 29208, USA)

  • Asia Brown

    (Department of Psychology, University of South Carolina, Columbia, SC 29208, USA)

  • Min Lian

    (Division of General Medical Sciences, Department of Medicine, Washington University School of Medicine, St. Louis, MO 63110, USA)

  • Marsha Dowda

    (Department of Exercise Science, University of South Carolina, Columbia, SC 29208, USA)

  • Natalie Colabianchi

    (School of Kinesiology & Institute for Social Research, University of Michigan, Ann Arbor, MI 48109, USA)

  • Russell R. Pate

    (Department of Exercise Science, University of South Carolina, Columbia, SC 29208, USA)

Abstract

(1) Background: Few studies have examined the relationship between neighborhood socioeconomic deprivation (SED) and weight-related outcomes in youth, controlling for weight-related behaviors. Hence, the purpose of this study was to examine the association between neighborhood SED, weight status, and fat mass in a diverse sample of youth, before and after controlling for physical activity and diet. (2) Methods: The sample included 828 youth from the Transitions and Activity Changes in Kids study. Neighborhood SED was expressed as an index score at the census tract of residence. Height, weight, and body composition were measured and used to calculate fat mass index (FMI) and weight status. Moderate-to-vigorous physical activity (MVPA) and sedentary behavior (min/h) were measured via accelerometry. Diet quality was assessed via the Block Food Screener for Kids. Multilevel regression models were employed to examine these relationships. (3) Results: Neighborhood SED was significantly associated with FMI and weight status before and after controlling for MVPA, sedentary behavior, and diet. Notably, youth residing in the most deprived neighborhoods had significantly higher FMI and were 30% more likely to be overweight/obese (OR = 1.30; 95% CI = 1.03–1.65). (4) Conclusions: Greater neighborhood SED was consistently and significantly associated with higher fat mass index and increased likelihood of overweight/obesity among youth.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jijerp:v:17:y:2020:i:17:p:6421-:d:408380
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/17/17/6421/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/17/17/6421/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Gustafsson, P.E. & Miguel, S.S. & Janlert, U. & Theorell, T. & Westerlund, H. & Hammarström, A., 2014. "Life-Course accumulation of neighborhood disadvantage and allostatic load: Empirical integration of three social determinants of health frameworks," American Journal of Public Health, American Public Health Association, vol. 104(5), pages 904-910.
    2. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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.

    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. Miller, Charlotte E. & Vasan, Ramachandran S., 2021. "The southern rural health and mortality penalty: A review of regional health inequities in the United States," Social Science & Medicine, Elsevier, vol. 268(C).
    2. Suzanne J Carroll & Michael J Dale & Theophile Niyonsenga & Anne W Taylor & Mark Daniel, 2020. "Associations between area socioeconomic status, individual mental health, physical activity, diet and change in cardiometabolic risk amongst a cohort of Australian adults: A longitudinal path analysis," PLOS ONE, Public Library of Science, vol. 15(5), pages 1-16, May.
    3. 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.
    4. Sarah A. Keller & Sarah Lim & William R. Buckingham & Amy J. H. Kind, 2023. "Life Course Assessment of Area-Based Social Disadvantage: A Systematic Review," IJERPH, MDPI, vol. 20(21), pages 1-10, October.
    5. Petteway, Ryan J. & Mujahid, Mahasin & Allen, Amani & Morello-Frosch, Rachel, 2019. "The body language of place: A new method for mapping intergenerational “geographies of embodiment” in place-health research," Social Science & Medicine, Elsevier, vol. 223(C), pages 51-63.
    6. Hooper, Alison & Hustedt, Jason T. & Slicker, Gerilyn & Hallam, Rena A. & Gaviria-Loaiza, Juana & Vu, Jennifer A. & Han, Myae, 2022. "Area Deprivation Index as a predictor of economic risk and social and neighborhood perceptions among families enrolled in Early Head Start," Children and Youth Services Review, Elsevier, vol. 137(C).
    7. Mandelbaum, Jennifer & Moore, Spencer & Silveira, Patricia P. & Meaney, Michael J. & Levitan, Robert D. & Dubé, Laurette, 2020. "Does social capital moderate the association between children's emotional overeating and parental stress? A cross-sectional study of the stress-buffering hypothesis in a sample of mother-child dyads," Social Science & Medicine, Elsevier, vol. 257(C).
    8. 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.
    9. Susan C. Hu & Yu-Hsuan Tsai & Der-Chiang Li & Wan-Chen Hsu & Nuan-Ching Huang, 2021. "Social-Economic Environments and Depressive Symptoms in Community-Dwelling Adults: A Multi-Level Analysis for Two Nationwide Datasets in Taiwan," IJERPH, MDPI, vol. 18(14), pages 1-11, July.
    10. Mary A. Fox & L. Elizabeth Brewer & Lawrence Martin, 2017. "An Overview of Literature Topics Related to Current Concepts, Methods, Tools, and Applications for Cumulative Risk Assessment (2007–2016)," IJERPH, MDPI, vol. 14(4), pages 1-28, April.
    11. Lucy Prior, 2021. "Allostatic Load and Exposure Histories of Disadvantage," IJERPH, MDPI, vol. 18(14), pages 1-17, July.
    12. Gao, Kun & Yang, Ying & Gil, Jorge & Qu, Xiaobo, 2023. "Data-driven interpretation on interactive and nonlinear effects of the correlated built environment on shared mobility," Journal of Transport Geography, Elsevier, vol. 110(C).
    13. Bethany M. Wood & Catherine Cubbin & Esmeralda J. Rubalcava Hernandez & Diana M. DiNitto & Shetal Vohra-Gupta & Philip Baiden & Elizabeth J. Mueller, 2023. "The Price of Growing Up in a Low-Income Neighborhood: A Scoping Review of Associated Depressive Symptoms and Other Mood Disorders among Children and Adolescents," IJERPH, MDPI, vol. 20(19), pages 1-25, October.
    14. Séverine Deguen & Mary Amuzu & Valentin Simoncic & Wahida Kihal-Talantikite, 2022. "Exposome and Social Vulnerability: An Overview of the Literature Review," IJERPH, MDPI, vol. 19(6), pages 1-16, March.
    15. Johnson, Sarah C. & Cavallaro, Francesca L. & Leon, David A., 2017. "A systematic review of allostatic load in relation to socioeconomic position: Poor fidelity and major inconsistencies in biomarkers employed," Social Science & Medicine, Elsevier, vol. 192(C), pages 66-73.
    16. 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.
    17. Steffen Andreas Schüle & Sarah Nanninga & Stefanie Dreger & Gabriele Bolte, 2018. "Relations between Objective and Perceived Built Environments and the Modifying Role of Individual Socioeconomic Position. A Cross-Sectional Study on Traffic Noise and Urban Green Space in a Large Germ," IJERPH, MDPI, vol. 15(8), pages 1-13, July.
    18. Kelsey Lucyk & Lindsay McLaren, 2017. "Taking stock of the social determinants of health: A scoping review," PLOS ONE, Public Library of Science, vol. 12(5), pages 1-24, May.
    19. Regina Grazuleviciene & Sandra Andrusaityte & Audrius Dėdelė & Tomas Grazulevicius & Leonas Valius & Aurimas Rapalavicius & Violeta Kapustinskiene & Inga Bendokiene, 2021. "Urban Environment and Health: A Cross-Sectional Study of the Influence of Environmental Quality and Physical Activity on Blood Pressure," IJERPH, MDPI, vol. 18(11), pages 1-15, June.
    20. Stephen Jivraj & Owen Nicholas & Emily T. Murray & Paul Norman, 2021. "Life Course Neighbourhood Deprivation and Self-Rated Health: Does It Matter Where You Lived in Adolescence and Do Neighbourhood Effects Build Up over Life?," IJERPH, MDPI, vol. 18(19), pages 1-13, 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:17:y:2020:i:17:p:6421-:d:408380. 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.