Neighborhood Disadvantage and Variations in Blood Pressure

American Journal of Health Education

Volumn 46, Issue 5, 2015, Pages 266-273

  Cathorall, Michelle L ^a   Xin, Huaibo ^a   Peachey, Andrew ^b   Bibeau, Daniel L ^c   Schulz, Mark ^c   Aronson, Robert ^d  

^a SOUTHERN ILLINOIS UNIVERSITY EDWARDSVILLE   (United States)

^b JAMES MADISON UNIVERSITY   (United States)

^c UNIVERSITY OF NORTH CAROLINA AT GREENSBORO   (United States)

^d TAYLOR UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 84940651490     PISSN: 19325037     EISSN: 21683751     Source Type: Journal    
DOI: 10.1080/19325037.2015.1055018     Document Type: Article

References (42)

1. P.Braveman, S.Egerter, D.R.Williams. The social determinants of health: coming of age. Annu Rev Public Health. 2011;32:381-398.
2. J.D.Boardman. Stress and physical health: the role of neighborhoods as mediating and moderating mechanisms. Soc Sci Med. 2004;58:2473-2483.
3. A.V.Diez-Roux. Investigating neighborhood and area effects on health. Am J Public Health. 2001;91:1783-1789.
4. H.Boosma, H.vanDeMheen, G.Borsboom, J.Machenbach. Neighborhood socioeconomic status and all-cause mortality. Am J Epidemiol. 2001;153:363-371.
5. A.Sloggett, H.Joshi. Higher mortality in deprived areas: community or personal disadvantage. BMJ. 1994;309:1470-1474.
6. L.N.Borrell, A.V.Diez-Roux, K.Rose, D.Catellier, B.L.Clark. Neighbourhood characteristics and mortaility in the Artherosclerosis Risk in Communities Study. Int J Epidemiol. 2004;33:398-407.
7. N.Dragano, M.Bobak, N.Wege, et al. Neighborhood socioeconomic status and cardiovascular risk factors: a multilevel analysis of nine cities in the Czech Republic and Germany. BMC Public Health. 2007;7(255):12.
8. K.Sundquist, M.Winkleby, H.Ahlen, S.E.Johansson. Neighborhood socioeconomic environment and incidence of coronary heart disease: a follow-up study of 25,319 women and men in Sweden. Am J Epidemiol. 2004;159:655-662.
9. M.Winkleby, K.Sundquist, C.Cubbin. Inequities in CHD incidence and case fatality by neighborhood deprivation. Am J Prev Med. 2007;32(2):97-106.
10. D.O.Kleindorfer, C.Lindsell, J.Broderick, et al. Impact of socioeconomic status on stroke incidence: a population-based study. Ann Neurol. 2006;60:480-483.
11. P.Brown, M.Guy, J.Broad. Individual socio-economic status, community socio-economic status and stroke in New Zealand: a case control study. Soc Sci Med. 2005;61:1174-1188.
12. A.Diez-Roux, J.Nieto, C.Muntaner, et al. Neighborhood environments and coronary heart disease: a multilevel analysis. Am J Epidemiol. 1997;148:48-61.
13. A.Diez-Roux, L.Chambless, S.Merkin. Socioeconomic disadvantage and change in blood pressure associated with aging. Circulation. 2002;106:703-710.
14. D.Wilson, W.Kliewer, L.Plybon. Socioeconomic status and blood pressure reactivity in healthy black adolescents. Hypertension. 2000;35:496-500.
15. G.Smith, C.Hart, G.Watt. Individual social class, area based deprivation, cardiovascular disease risk factors, and mortality: the Renfrew and Paisely Study. J Epidemiol Community Health. 1998;52:399-405.
16. A.Diez-Roux, K.Kershaw, L.Lisabeth. Neighborhoods and cardiovascular risk: beyond individual-level risk factors. Curr Cardiovasc Risk Rep. 2008;2:175-180.
17. A.Baum, J.Garofalo, A.M.Yali. Socioeconomic status and chronic stress: does stress account for SES effects on health? Ann NY Acad Sci. 1999;896:131-144.
18. C.Agyemang, C.V.Hooijdonk, E.Wendel-Vos, et al. Ethnic differences in the effect of environmental stressors on blood pressure and hypertsension in The Netherlands. BMC Public Health. 2007;7:10.
19. G.K.Kapuku, F.A.Treiber, H.C.Davis. Relationships among socioeconomic status, stress induced changes in cortisol, and blood pressure in African American males. Ann Behav Med. 2002;24:320-325.
20. T.Pickering. Cardiovascular pathways: socioeconomic status and stress effects on hypertension and cardiovascular function. Ann NY Acad Sci. 1999;896:262-277.
21. A.Diez-Roux, C.Mair. Neighborhoods and health. Ann NY Acad Sci. 2010;1186:125-145.
22. I.Kawachi, B.Kennedy, R.Wilkinson. Crime: social disorganization and relative deprivation. Soc Sci Med. 1999;48:719-731.
23. K.Sundquist, H.Theobald, M.Yang, X.Li, S.E.Johansson, J.Sundquist. Neighborhood violent crime and unemployment increase the risk of coronary heart diease: multilevel study in an urban setting. Soc Sci Med. 2006;62:2061-2071.
24. G.C.Gee, D.C.Payne-Sturges. Environmental health disparities: a framework integrating psychosocial and environmental concepts. Environ Health Perspect. 2004;12:1645-1653.
25. B.McEwen. Stress, adaptation, and disease: allostasis and allostatic load. Ann NY Acad Sci. 1998;840:33-44.
26. S.Raudenbush, A.Bryk. Hierarchical Linear Models: Applications and Data Analysis Methods 2nd ed. Newbury Park, CA: Sage; 2002.
27. SPSS 16.0 Ver 16.0.1 for Mac. Chicago, IL: SPSS Inc; 2007.
28. U.S. Department of Human and Health Services. Fact Sheet: Protecting the Health of Minority Communities. http://www.hhs.gov/news/factsheet/minorityhealth.html. Published 2006. Accessed July 30, 2015.
29. G.Dave, D.Bibeau, M.Schulz, et al. Predictors of uncontrolled hypertension in the stroke belt. J Clin Hypertens. 2013;15:562-569.
30. ESRI. ArcGIS Release 9.3. Redlands, CA: Environmental Systems Research Institute; 2008.
31. D.O.Okorodudu, M.F.Jumean, V.M.Montori, et al. Diagnostic performance of body mass index to identify obesity as defined body adiposity: a systematic review and meta-analysis. Int J Obes. 2010;34:791-799.
32. Q.Li, R.S.Kirby, R.T.Sigler, S.S.Hwang, M.E.LaGory, R.L.Goldenberg. A multilevel analysis of individual, household, and neighborhood correlates of intimate partner violence among low-income pregnant women in Jefferson County, Alabama. Am J Public Health. 2010;100:531-539.
33. P.Townsend, P.Phillimore, A.Beattie. Health and Deprivation: Inequality in the North. London, UK: Routledge; 1988.
34. U.S. Census Bureau, U.S. Department of Commerce. Cartographic Boundary Files. https://www.census.gov/geo/maps-data/data/tiger-cart-boundary.html. Published 2003. Accessed September 2007.
35. T.M.Powell, R.J.Glynn, J.E.Buring, M.A.Creager, P.M.Ridker, A.D.Pradhan. The relative importance of systolic versus diastolic blood pressure control and incident symptomatic peripheral artery disease in women. Vasc Med. 2011;16:239-246.
36. T.de Waal, J.Pannekoek, S.Scholtus. Handbook of Statistical Data Editing and Imputaion. Hoboken, NJ: John Wiley & Sons; 2011.
37. J.A.Saunders, N.Morrow-Howell, E.Spitznagel, P.Dore, E.K.Proctor, R.Pescarino. Imputing missing data: a comparison of methods for social work researchers. Soc Work Res. 2006;30:19-31.
38. P.M.Rothwell, S.C.Howard, E.Dolan, et al. Prognostic significance of visit-to-visit variability, maxium systolic blood pressure, and episodic hypertension. Lancet. 2010;375:895-905.
39. E.K.Chowdhury, A.Owen, H.Krum, L.M.H.Wing, M.R.Nelson, C.M.Reid. Systolic blood pressure variability is an important predictor of cardiovascular outcomes in elderly hypertensive patients. J Hypertens. 2014;32:525-533.
40. U.S. Census Bureau, U.S. Department of Commerce. Geographic Terms and Concepts—Block Groups. http://www.census.gov/geo/reference/gtc/gtc_bg.html. Published 2005. Accessed September 2007.
41. J.M.Engels, P.Diehr. Imputation of missing longitudinal data: a comparison of methods. J Clin Epidemiol. 2003;56:968-976.
42. J.S.House, R.F.Schoeni, G.A.Kaplan, H.Pollack. The health effects of social and economic policy: the promise and challenge for research and policy. In: G.A.Kaplan, H.Pollack, eds. Making Americans Healthier: Social and Economic Policy as Health Policy. New York, NY: Russell Sage Foundation; 2008;3-26.