The Influence of Neighborhood Poverty on Blood Glucose Levels: Findings from the Community Initiative to Eliminate Stroke (CITIES) program
DOI :
https://doi.org/10.5195/hcs.2015.184Mots-clés :
multilevel, deprivation index, prevention, non-fasting blood glucose level, type 2 diabetesRésumé
Objectives: To examine the relationship between both individual and neighborhood level characteristics and non-fasting blood glucose levels.
Study design: This study used a cross sectional design using data from the Community Initiative to Eliminate Stroke Program in NC (2004-2008). A total of 12,809 adults nested within 550 census block groups from two adjacent urban counties were included in the analysis.
Methods: Participants completed a cardiovascular risk factor assessment with self-reported demographics, stroke-risk behaviors, and biometric measurements. Neighborhood level characteristics were based upon census data. Three multilevel models were constructed for data analysis.
Results: Mean blood glucose level of this sample population was 103.61mg/dL. The unconditional model 1 suggested a variation in mean blood glucose levels among the neighborhoods (τ00 = 13.39; P < .001). Both models 2 and 3 suggested that the neighborhood composite deprivation index had a significant prediction on each neighborhood’s mean blood glucose level (¡01= .69; P < 0.001,¡01= .36; P = .004). Model 3 also suggested that across all the neighborhoods, on average, after controlling for individual level risk factors, deprivation remained a significant predictor of blood glucose levels.
Conclusions: The findings provide evidence that neighborhood disadvantage is a significant predictor of neighborhood and individual level blood glucose levels. One approach to diabetes prevention could be for policymakers to address the problems associated with environmental determinants of health.
Références
American Diabetes Association. African Americans & Complications. Alexandria, VA: American Diabetes Association; 2011 (http://www.diabetes.org/living-with-diabetes/complications/african-americans-and-complications.html). (Accessed April 18, 2011).
Auchincloss, A. H., Diez- Roux, A. V., Mujahid, M. S., et al. (2009). Neighborhood resources for physical activity and healthy foods and incidence of type 2 diabetes mellitus. Archives of Internal Medicine,169,1698-1704.
Bassuk, S. S. & Manson, J. E. (2005). Epidemiological evidence for the role of physical activity in reducing risk of type 2 diabetes and cardiovascular disease. Journal of Applied Physiology 99,1193-1204.
Carey, V. J., Walters, E. E., Colditz, G. A., et al. (1997). Body fat distribution and risk of non-insulin-dependent diabetes mellitus in women: the Nurses’ Health Study. American Journal of Epidemiology, 145, 614-619.
Centers for Disease Control and Prevention. 2011 National Diabetes Fact Sheet. Atlanta, GA: Center for Disease Control and Prevention; 2011. (http://www.cdc.gov/diabetes/pubs/pdf/ndfs_2011.pdf). (Accessed March 13, 2014)
Cox, M., Boyle, P. J., Davey, P. G., et al. (2007). Locality deprivation and Type 2 diabetes incidence: a local test of relative inequalities. Social Science Medicine, 65, 1953-1964.
Diex-Roux, A. V. (2003). Residential environment and cardiovascular disease risk. Journal of Urban Health, 80(4), 569-589.
Ford, E. S., Williamson, D. F., & Liu, S. (1997). Weight change and diabetes incidence: findings from a national cohort of US adults. American Journal of Epidemiology146, 214-222.
Gordis, L. (2004). Epidemiology. 3nd ed. Philadelpia, PA: Elsevier Saunders.
Gaskin, D. J., Thorpe, R. J., McGinty, E. E., Bower, K., Rohde, C., Young, J. H., LaVeist, T. A., & Dubay, L. (2013). Disparities in Diabetes: The nexus of race, poverty, and place. American Journal of Public Health, e1-e9.
Gordon-Larsen, P., Nelson, M. C., Page, P., et al. (2006). Inequality in the built environment underlies key health disparities in physical activity and obesity. Pediatrics, 117, 417-424.
Harris, M. I. (1991). Epidemiological correlates of NIDDM in Hispanics, Whites, and Blacks in the U.S. population. Diabetes Care, 14, 639-648.
Harris, M. I., Klein, R., Cowie, C. C., et al. (1998). Is the risk of diabetic retinopathy greater in non-Hispanic blacks and Mexican Americans than in non-Hispanic whites with type 2 diabetes? A U.S. population study. Diabetes Care, 21, 1230-1235.
Hoyert, D. L. & Xu, J. (2012). Deaths: Preliminary Data for 2011.
National Vital Statistics Reports, 61(6). Hyattsville, MD: National Center for Health Statistics. Available from http://www.cdc.gov/nchs/fastats/deaths.htm. (Accessed March 24, 2014)
Huang, E. S., Basu, A., O’Grady, M., & Capretta, J. C. (2009). Projecting the future diabetes population size and related costs for the U.S. Diabetes Care, 32(12), 2225-2229.
Inagami, S., Cohen, D. A., Brown, A. F., et al. (2009). Body mass index, neighborhood fast food and restaurant concentration, and car ownership. Journal of Urban Health, 86, 683-695.
Joshy, G., Porter, T., Levre, C. L., et al. (2009). Prevalence of diabetes in New Zealand general practice: the influence of ethnicity and social deprivation. Journal of Epidemiology and Community Health, 63, 386-390.
Koh-Banerjee, P., Wang, Y., Hu, F. B., et al. (2004). Changes in body weight and body fat distribution as risk factors for clinical diabetes in US men. American Journal of Epidemiology, 159,1150-1159.
Krishnan, S., Cozier, Y. C., Rosenberg, L., et al. (2010). Socioeconomic status and incidence of type 2 diabetes: results from the Black Women’s Health Study. American Journal of Epidemiology, 171,564-570.
LaVeist, T., Pollack, K., Thorpe, R., Fresahazion, R., & Gaskin, D. (2011). Place, not race: Disparities dissipate in Southwest Baltimore when Blacks and Whites live under similar conditions. Health Affairs, 30(10), 1880-1887.
Lovasi, G. S., Hutson, M. A., Guerra, M., et al. (2009). Built environments and obesity in disadvantaged populations. Epidemiological Review, 31, 7-20.
Ludwig, J., Sanbonmatsu, L., Gennetian, L., Adam, E., Duncan, G. J., Katz, L. F., Kessler, R. C., Kling, J. R., Lindau, S. T., Whitaker, R. C., & Wade, T. W. (2011). Neighborhoods, obesity, and diabetes – A randomized social experiment. The New England Journal of Medicine, 365(16), 1509-1519.
Mayo Clinic. Diabetes. Rochester, MN: Mayo Clinic; 2010. (http://www.mayoclinic.com/health/diabetes/DS01121/DSECTION=tests-and-diagnosis). (Accessed October 22, 2010).
Menec, V. H., Shooshtari, S., Novicki, S., et al. (2010). Does the relationship between neighborhood socioeconomic status and health outcomes persist into very old age? A population-based study. Journal of Aging and Health, 22, 27-47.
Miller, E. M., Schulz, M. R., Bibeau, D., L., Galka, A. M., Spann, L. I., Martin, L. B., Aronson, R. E., & Chase, C. M. (2007). Factors associated with misperception of weight in the stroke belt. Journal of General and Internal Medicine, 23(3), 323-328.
Mokdad, A. H., Ford, E. S., Bowman, B. A., et al. (2003). Prevalence of obesity, diabetes, and obesity-related health risk factors, 2001. Journal of the American Medical Association, 289, 76-79.
Mozaffarian, D., Kamineni, A., Carnethon, M., et al. (2009). Lifestyle risk factors and new-onset diabetes mellitus in older adults: the Cardiovascular Health Study. Archives of Internal Medicine, 169, 798-807.
National Institutes of Health. Diagnosis of Diabetes. Bethesda, MD: National Institutes of Health; 2008. (http://diabetes.niddk.nih.gov/dm/pubs/diagnosis/#what) (Accessed October 22, 2010)
Pan, X. R., Yang, W. Y., Li, G. W., et al. (1997). Prevalence of diabetes and its risk factors in China, 1994. Diabetes Care, 20,1664-1669.
Raudenbush, S. & Bryk, A. (2002). Hierarchical Linear Models: Applications and Data Analysis Methods. 2nd ed. Newbury Park, CA: Sage.
Robbins, J. M., Vaccarino, V., Zhang, H., et al. (2001). Socioeconomic status and type 2 diabetes in African American and Non-Hispanic White women and men: evidence from the third National Health and Nutrition Examination Survey. American Journal of Public Health, 91,76-83.
Sallis, J. F., Saelens, B. E., Frank, L. D., et al. (2009). Neighborhood built environment and income: examining multiple health outcomes. Social Science Medicine, 68, 1285-1293.
Schiller, J. S., Lucas, J. W., Ward, B. W., & Peregoy, J. A. (2012). Summary health statistics for U.S. adults: National Health Interview Survey, 2010. National Center for Health Statistics. Vital Health Statistics 10(252).
Schootman, M., Andresen, E, M,, Wolinsky, F. D., et al. (2007). The effect of adverse housing and neighborhood conditions on the development of diabetes mellitus among middle-aged African Americans. American Journal of Epidemiology166, 379-389.
Taylor, W. C., Carlos-Poston, W. S., Jones, L., et al. (2006). Environmental justice: obesity, physical activity, and healthy eating. Journal of Physical Activity and Health, 3(suppl), 30S-45S.
Townsend, P., Phillimore, P., & Beattie, A. (1988). Health and Deprivation: Inequality and the North. New York, NY: Croom Helm.
U.S. Census Bureau. U.S. Department of Commerce. Cartographic Boundary Files. Washington, DC: U.S. Census Bureau. (http://www.census.gov/geo/www/cob/bg_metadata.html). (Accessed April 22, 2009).
U.S. Department of Human and Health Services. Community Initiatives to Eliminate Stroke Program FY 2004-2007. Washington, DC: U.S. Department of Human and Health Services; 2005. (http://www.omhrc.gov/templates/content.aspx?ID=3342). (Accessed September 21, 2007).
Willi, C., Bodenmann, P., Ghali, W. A., et al. (2007). Active smoking and risk of type 2 diabetes. Journal of the American Medical Association, 298, 2654-2664.
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