Abstract
Adverse housing and neighborhood conditions are independently associated with an increased risk of various diseases and conditions. One possible explanation relates to systemic inflammation, which is associated with these adverse health outcomes. The authors investigated the association between housing and neighborhood conditions with inflammatory markers using data about 352 persons aged 49–65 years from the African American Health study. Participants were identified by a multistage random selection process in 2000 to 2001(response rate, 76%). Blood was analyzed for soluble cytokine receptors (interleukin-6, tumor necrosis factor α), C-reactive protein, and adiponectin. Neighborhood and housing characteristics consisted of five observed block face conditions (external appearance of the block on which the subject lived), four perceived neighborhood conditions, four observed housing conditions (home assessment by the interviewers rating the interior and exterior of the subject’s building), and census-tract level poverty rate from the 2000 census. Differences in some inflammatory markers were found by age, gender, chronic conditions, and body mass index (all Bonferroni-adjusted p < 0.0034). There was no association between any of the housing/neighborhood conditions and the pro-inflammatory markers and potential associations between some housing/neighborhood conditions and adiponectin (p < 0.05, Bonferroni-adjusted p > 0.0034). Inflammation does not appear to be a mediator of the association between poor housing/neighborhood conditions and adverse health outcomes in middle-aged African Americans.
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References
Pickett K, Pearl M. Multilevel analyses of neighborhood socioeconomic context and health outcomes: a critical review. J Epidemiol Community Health. 2001;55:111-122.
Kawachi I, Berkman L. Introduction. In: Kawachi I, Berkman L, eds. Neighborhoods and Health. New York: Oxford University Press; 2003:1-19.
Schootman M, Andresen E, Wolinsky F, Malmstrom T, Miller J, Miller D. Neighborhood conditions and risk of incident lower-body functional limitations among middle-aged African Americans. Am J Epidemiol. 2006;163:450-458.
Stjarne MK, Fritzell J, De Leon AP, Hallqvist J. Neighborhood socioeconomic context, individual income and myocardial infarction. Epidemiology. 2006;17(1):14-23.
Eschbach K, Mahnken J, Goodwin J. Neighborhood composition and incidence of cancer among Hispanics in the United States. Cancer. 2005;103(5):1036-1044.
Schootman M, Andresen EM, Wolinsky FD, et al. The effect of adverse housing and neighborhood conditions on the development of diabetes mellitus among middle-aged African Americans. Am J Epidemiol. 2007;166:379-387.
World Health Organization Regional Office for Europe. Report on the WHO technical meeting on quantifying disease from inadequate housing. Bonn, Germany, November 28–30, 2005. Copenhagen, Denmark 2005.
Cummins S, Curtis S, Diez-Roux AV, Macintyre S. Understanding and representing ‘place’ in health research: a relational approach. Soc Sci Med. 2007;65(9):1825-1838.
Daniel M, Moore S, Kestens Y. Framing the biosocial pathways underlying associations between place and cardiometabolic disease. Health Place. 2008;14(2):117-132.
Ridker P. Inflammatory biomarkers and risks of myocardial infarction, stroke, diabetes, and total mortality: implications for longevity. Nutr Rev. 2007;65(s3):S253-S259.
Pradhan AD, Manson JE, Rifai N, Buring JE, Ridker PM. C-reactive protein, interleukin 6, and risk of developing type 2 diabetes mellitus. JAMA. 2001;286(3):327-334.
Heikkilä K, Ebrahim S, Lawlor DA. Systematic review of the association between circulating interleukin-6 (IL-6) and cancer. Eur J Cancer. 2008;44(7):937-945.
Seruga B, Zhang H, Bernstein LJ, Tannock IF. Cytokines and their relationship to the symptoms and outcome of cancer. Nat Rev Cancer. 2008;8(11):887-899.
Haren M, Malmstrom T, Miller D, et al. Higher C-reactive protein and soluble tumor necrosis factor receptor levels are associated with poor physical function and disability: a cross-sectional analysis of a cohort of late middle-aged African Americans. J Gerontol Med Sci. 2010; in press.
Brinkley TE, Leng X, Miller ME, et al. Chronic inflammation is associated with low physical function in older adults across multiple comorbidities. J Gerontol A Biol Sci Med Sci. 2009;64A(4):455-461.
Toth MJ, Ades PA, Tischler MD, Tracy RP, LeWinter MM. Immune activation is associated with reduced skeletal muscle mass and physical function in chronic heart failure. Int J Cardiol. 2006;109(2):179-187.
Duncan BB, Schmidt MI, Pankow JS, et al. Adiponectin and the development of type 2 diabetes. Diabetes. 2004;53(9):2473-2478.
Welsh P, Woodward M, Rumley A, Lowe G. Associations of plasma pro-inflammatory cytokines, fibrinogen, viscosity and C-reactive protein with cardiovascular risk factors and social deprivation: the fourth Glasgow MONICA study. Br J Haematol. 2008;141(6):852-861.
Pollitt RA, Kaufman JS, Rose KM, Diez-Roux AV, Zeng D, Heiss G. Cumulative life course and adult socioeconomic status and markers of inflammation in adulthood. J Epidemiol Community Health. 2008;62(6):484-491.
Petersen KL, Marsland AL, Flory J, Votruba-Drzal E, Muldoon MF, Manuck SB. Community socioeconomic status is associated with circulating interleukin-6 and C-reactive protein. Psychosom Med. 2008;70(6):646-652.
MacKinnon DP. Introduction to Statistical Mediation Analysis. New York: Lawrence Erlbaum Associates; 2008.
Miller DK, Malmstrom TK, Joshi S, Andresen EM, Morley JE, Wolinsky FD. Clinically relevant levels of depressive symptoms in community-dwelling middle-aged African Americans. J Am Geriatr Soc. 2004;52(5):741-748.
Morley JE, Baumgartner RN. Cytokine-related aging process. J Gerontol A Biol Sci Med Sci. 2004;59(9):M924-M929.
Novick D, Shulman LM, Chen L, Revel M. Enhancement of interleukin 6 cytostatic effect on human breast carcinoma cells by soluble IL-6 receptor from urine and reversion by monoclonal antibody. Cytokine. 1992;4(1):6-11.
Mohler KM, Torrance DS, Smith CA, et al. Soluble tumor necrosis factor (TNF) receptors are effective therapeutic agents in lethal endotoxemia and function simultaneously as both TNF carriers and TNF antagonists. J Immunol. 1993;151(3):1548-1561.
Krause N. Neighborhood deterioration, religious coping, and changes in health during late life. Gerontologist. 1998;38(6):653-664.
Andresen E, Malmstrom T, Miller D, Wolinsky F. Reliability and validity of observer ratings of neighborhoods. J Aging Health. 2006;18:28-36.
Chandola T. The fear of crime and area differences in health. Health Place. 2001;7:105-116.
Singh G, Miller B, Hankey B, Edwards B. Area Socioeconomic Variations in U.S. Cancer Incidence, Mortality, Stage, Treatment, and Survival, 1975–1999. Bethesda: National Cancer Institute; 2003.
Krieger N, Chen J, Waterman P, Soobader M, Subramanian S, Carson R. Geocoding and monitoring of socioeconomic inequalities in mortality and cancer incidence: does the choice of area-based measure and geographic level matter? Am J Epidemiol. 2002;156:471-482.
Schootman M, Andresen EM, Wolinsky FD, Malmstrom TK, Miller JP, Miller DK. Neighbourhood environment and the incidence of depressive symptoms among middle-aged African Americans. J Epidemiol Community Health. 2007;61(6):527-532.
Mayfield D, McLeod G, Hall P. The CAGE questionnaire: validation of a new alcoholism screening instrument. Am J Psychiatry. 1974;131:1121-1123.
Li S, Shin HJ, Ding EL, van Dam RM. Adiponectin levels and risk of type 2 diabetes: a systematic review and meta-analysis. JAMA. 2009;302(2):179-188.
Liang K-W, Sheu WH-H, Lee W-L, et al. Decreased circulating protective adiponectin level is associated with angiographic coronary disease progression in patients with angina pectoris. Int J Cardiol. 2008;129(1):76-80.
Golledge J, Leicht A, Crowther RG, Clancy P, Spinks WL, Quigley F. Association of obesity and metabolic syndrome with the severity and outcome of intermittent claudication. J Vasc Surg. 2007;45(1):40-46.
Nguyen QM, Srinivasan SR, Xu J-H, Chen W, Berenson GS. Racial (black–white) divergence in the association between adiponectin and arterial stiffness in asymptomatic young adults: the Bogalusa Heart Study. Am J Hypertens. 2008;21(5):553-557.
Selvin E, Erlinger TP. Prevalence of and risk factors for peripheral arterial disease in the United States: results from the National Health and Nutrition Examination Survey, 1999–2000. Circulation. 2004;110(6):738-743.
McDermott M, Tian L, Ferrucci L, et al. Associations between lower extremity ischemia, upper and lower extremity strength, and functional impairment with peripheral arterial disease. J Am Geriatr Soc. 2008;56(4):724-729.
Ford ES, Loucks EB, Berkman LF. Social integration and concentrations of C-reactive protein among US adults. Ann Epidemiol. 2006;16(2):78-84.
Glasser SP, Cushman M, Prineas R, et al. Does differential prophylactic aspirin use contribute to racial and geographic disparities in stroke and coronary heart disease (CHD)? Prev Med. 2008;47(2):161-166.
Shahar E, Folsom AR, Romm FJ, et al. Patterns of aspirin use in middle-aged adults: the Atherosclerosis Risk in Communities (ARIC) Study. Am Heart J. 1996;131(5):915-922.
Hardin B, Kelman B, Saxon A. Adverse human health effects associated with molds in the indoor environment. J Occup Environ Med. 2003;45(5):470-478.
Centers for Disease Control and Prevention and U.S. Department of Housing and Urban Development. Healthy Housing Inspection Manual. Atlanta: US Department of Health and Human Services; 2008.
U.S. Department of Housing and Urban Development and U.S. Census Bureau. Current housing reports, series H170/04-59, American Housing Survey for the St. Louis Metropolitan Area; 2004.
Funding
This work was supported by the National Institutes of Health (AG-10436 to D.K.M). Dr. Wolinsky is supported, in part, as a Research Scientist at the Department of Veterans Affairs Medical Centers of Iowa City, IA, USA.
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ESM Table 1
Sociodemographic characteristics, health status, health behavior, block face, and housing conditions of the African American Health (AAH) study participants who were included in the current analysis (n = 352) and those who were not (n = 646). (DOC 80 kb)
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Schootman, M., Andresen, E.M., Wolinsky, F.D. et al. Adverse Housing and Neighborhood Conditions and Inflammatory Markers among Middle-Aged African Americans. J Urban Health 87, 199–210 (2010). https://doi.org/10.1007/s11524-009-9426-8
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DOI: https://doi.org/10.1007/s11524-009-9426-8