Neighborhood Disadvantage and Allostatic Load in African American Women at Risk for Obesity-Related Diseases

Marissa Tan, Abdullah Mamun, Heather Kitzman, Surendra Reddy Mandapati, Leilani Dodgen, Marissa Tan, Abdullah Mamun, Heather Kitzman, Surendra Reddy Mandapati, Leilani Dodgen

Abstract

Introduction: African American women have higher rates of obesity and related chronic disease than other demographic groups. The poorer health of African American women compared with other groups may be explained by allostatic load, or cumulative physiologic stress, due to chronic socioeconomic disadvantage. The objective of this study was to evaluate neighborhood and individual factors contributing to allostatic load in African American women at risk for obesity-related diseases.

Methods: This study evaluated the relationship of allostatic load with neighborhood disadvantage, individual socioeconomic determinants, and synergism between neighborhood and socioeconomic disadvantage, along with health behaviors and other factors as mediators in African American women. Our sample consisted of 220 African American women at risk of obesity-related diseases enrolled in the Better Me Within program (mean [standard deviation] age, 50.1 [11.2] y; mean [standard deviation] body mass index, 36.7 [8.4] kg/m2). Allostatic load score for each participant was calculated by summing the number of biomarkers (of 9 biomarkers) that were determined to be in the high-risk quartile.

Results: Poisson regression of neighborhood disadvantage and individual socioeconomic determinants found that neighborhood disadvantage, but not education level or household income, was significantly associated with allostatic load (β = 0.22, SE, 0.10, P = .04). Tests for mediators showed that household income and alcohol consumption partially mediated the relationship between allostatic load score and neighborhood disadvantage but were not significant.

Conclusion: More research is necessary to determine the mechanisms by which neighborhoods can exacerbate and attenuate cumulative disadvantage among African American women. Policies and interventions that focus on neighborhood health may improve the outcomes of individual-level health interventions among women who reside in disadvantaged communities.

Figures

Figure
Figure
Hypothesized pathways mediating relationships between neighborhood disadvantage and allostatic load.

References

    1. Flegal KM, Kruszon-Moran D, Carroll MD, Fryar CD, Ogden CL. Trends in obesity among adults in the United States, 2005 to 2014. JAMA 2016;315(21):2284–91. 10.1001/jama.2016.6458
    1. Abrams JA, Maxwell M, Pope M, Belgrave FZ. Carrying the world with the grace of a lady and the grit of a warrior: deepening our understanding of the “strong black woman” schema. Psychol Women Q 2014;38(4):503–18. 10.1177/0361684314541418
    1. Beckie TM. A systematic review of allostatic load, health, and health disparities. Biol Res Nurs 2012;14(4):311–46. 10.1177/1099800412455688
    1. Geronimus AT. The weathering hypothesis and the health of African-American women and infants: evidence and speculations. Ethn Dis 1992;2(3):207–21.
    1. Upchurch DM, Stein J, Greendale GA, Chyu L, Tseng C-H, Huang M-H, et al. A longitudinal investigation of race, socioeconomic status, and psychosocial mediators of allostatic load in midlife women: findings from the Study of Women’s Health Across the Nation. Psychosom Med 2015;77(4):402–12. 10.1097/PSY.0000000000000175
    1. Evans GW, Kim P. Multiple risk exposure as a potential explanatory mechanism for the socioeconomic status-health gradient. Ann N Y Acad Sci 2010;1186(1):174–89. 10.1111/j.1749-6632.2009.05336.x
    1. Schulz AJ, Mentz G, Lachance L, Johnson J, Gaines C, Israel BA. Associations between socioeconomic status and allostatic load: effects of neighborhood poverty and tests of mediating pathways. Am J Public Health 2012;102(9):1706–14. 10.2105/AJPH.2011.300412
    1. Cozier YC, Albert MA, Castro-Webb N, Coogan PF, Ridker P, Kaufman HW, et al. Neighborhood socioeconomic status in relation to serum biomarkers in the Black Women’s Health Study. J Urban Health 2016;93(2):279–91. 10.1007/s11524-016-0034-0
    1. Hill TD, Ross CE, Angel RJ. Neighborhood disorder, psychophysiological distress, and health. J Health Soc Behav 2005;46(2):170–86. 10.1177/002214650504600204
    1. Browning CR, Cagney KA, Iveniuk J. Neighborhood stressors and cardiovascular health: crime and C-reactive protein in Dallas, USA. Soc Sci Med 2012;75(7):1271–9. 10.1016/j.socscimed.2012.03.027
    1. Lovasi GS, Hutson MA, Guerra M, Neckerman KM. Built environments and obesity in disadvantaged populations. Epidemiol Rev 2009;31(1):7–20. 10.1093/epirev/mxp005
    1. Robinette JW, Charles ST, Almeida DM, Gruenewald TL. Neighborhood features and physiological risk: an examination of allostatic load. Health Place 2016;41:110–8. 10.1016/j.healthplace.2016.08.003
    1. Barber S, Hickson DA, Kawachi I, Subramanian SV, Earls F. Neighborhood disadvantage and cumulative biological risk among a socioeconomically diverse sample of African American adults: an examination in the Jackson Heart Study. J Racial Ethn Health Disparities 2016;3(3):444–56. 10.1007/s40615-015-0157-0
    1. Riva M, Gauvin L, Barnett TA. Toward the next generation of research into small area effects on health: a synthesis of multilevel investigations published since July 1998. J Epidemiol Community Health 2007;61(10):853–61. 10.1136/jech.2006.050740
    1. United States Census Bureau. 2011–2015 American Community Survey 5-year estimates. Tables B09010, B09019, DP04, S1701 generated by Marissa Tan using American FactFinder. . Accessed December 18, 2016.
    1. United States Census Bureau. 2015 subject definitions. American Community Survey. . Accessed June 21, 2017.
    1. Bird CE, Seeman T, Escarce JJ, Basurto-Dávila R, Finch BK, Dubowitz T, et al. Neighbourhood socioeconomic status and biological ‘wear and tear’ in a nationally representative sample of US adults. J Epidemiol Community Health 2010;64(10):860–5. 10.1136/jech.2008.084814
    1. Messer LC, Laraia BA, Kaufman JS, Eyster J, Holzman C, Culhane J, et al. The development of a standardized neighborhood deprivation index. J Urban Health 2006;83(6):1041–62. 10.1007/s11524-006-9094-x
    1. Juster RP, McEwen BS, Lupien SJ. Allostatic load biomarkers of chronic stress and impact on health and cognition. Neurosci Biobehav Rev 2010;35(1):2–16. 10.1016/j.neubiorev.2009.10.002
    1. Inder WJ, Dimeski G, Russell A. Measurement of salivary cortisol in 2012 — laboratory techniques and clinical indications. Clin Endocrinol (Oxf) 2012;77(5):645–51. 10.1111/j.1365-2265.2012.04508.x
    1. Mattei J, Demissie S, Falcon LM, Ordovas JM, Tucker K. Allostatic load is associated with chronic conditions in the Boston Puerto Rican Health Study. Soc Sci Med 2010;70(12):1988–96. 10.1016/j.socscimed.2010.02.024
    1. Pettee Gabriel K, McClain JJ, Lee CD, Swan PD, Alvar BA, Mitros MR, et al. Evaluation of physical activity measures used in middle-aged women. Med Sci Sports Exerc 2009;41(7):1403–12. 10.1249/MSS.0b013e31819b2482
    1. How much physical activity do adults need? Atlanta (GA): Centers for Disease Control and Prevention; 2015. . Accessed September 20, 2017.
    1. Cohen S, Williamson G. Perceived stress in a probability sample of the United States. In: Spacapan S, Oskamp S, editors. The social psychology of health: Claremont Symposium on applied social psychology. Newbury Park (CA): Sage; 1988. p. 31–67.
    1. Schafer JL. Analysis of incomplete multivariate data. Boca Raton (FL): CRC Press; 1997.
    1. Howard JT, Sparks PJ. Does allostatic load calculation method matter? Evaluation of different methods and individual biomarkers functioning by race/ethnicity and educational level. Am J Hum Biol 2016;28(5):627–35. 10.1002/ajhb.22843
    1. Howard JT, Sparks PJ. The role of education in explaining racial/ethnic allostatic load differentials in the United States. Biodemogr Soc Biol 2015;61(1):18–39. 10.1080/19485565.2014.937000
    1. Rehm J, Gmel GE Sr, Gmel G, Hasan OSM, Imtiaz S, Popova S, et al. The relationship between different dimensions of alcohol use and the burden of disease — an update. Addiction 2017;112(6):968–1001. 10.1111/add.13757
    1. Lippert AM, Evans CR, Razak F, Subramanian SV. Associations of continuity and change in early neighborhood poverty with adult cardiometabolic biomarkers in the United States: results from the National Longitudinal Study of Adolescent to Adult Health, 1995–2008. Am J Epidemiol 2017;185(9):765–76. 10.1093/aje/kww206
    1. Upchurch DM, Rainisch BW, Chyu L. Greater leisure time physical activity is associated with lower allostatic load in white, black, and Mexican American midlife women: findings from the National Health and Nutrition Examination Survey, 1999 through 2004. Womens Health Issues 2015;25(6):680–7. 10.1016/j.whi.2015.07.002

Source: PubMed

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