Skip to main content
Mijn bibliotheek
Shop
Nieuws Boeken Tijdschriften E-learning Web-tv Video Audio
Tips voor Mijn BSL
UITGEBREID ZOEKEN
Inloggen
Top
Quality of Life Research
Gepubliceerd in: Quality of Life Research 1/2012

01-02-2012

Neighborhood foreclosures and self-rated health among breast cancer survivors

Auteurs: Mario Schootman, Anjali D. Deshpande, Sandi L. Pruitt, Donna B. Jeffe

Gepubliceerd in: Quality of Life Research | Uitgave 1/2012

Log in om toegang te krijgen
share
DELEN

Deel dit onderdeel of sectie (kopieer de link)

  • Optie A:
    Klik op de rechtermuisknop op de link en selecteer de optie “linkadres kopiëren”
  • Optie B:
    Deel de link per e-mail
    Link delen
publish
Publiceer nu

Abstract

Purpose

We determined the association of neighborhood foreclosure risk on the health status of a statewide sample of breast cancer survivors (n = 1047) and the extent to which covariates accounted for observed associations.

Methods

Measures of self-rated health and several covariates were obtained by telephone interview 1 year after diagnosis. We used the federal Housing and Urban Development agency’s estimated census-tract foreclosure-abandonment-risk score and multilevel, logistic regression to determine the association of foreclosure risk (high, moderate versus low) with self-rated health (fair-poor versus good, very good, excellent) and whether covariates could explain the observed association.

Results

Women who resided in high-foreclosure-risk (HFR) areas were 2.39 times (95% CI: 1.83–3.13) more likely to report being in fair-poor health than women who lived in low-foreclosure-risk areas. The odds ratio (OR) was reduced for women who lived in high-foreclosure-risk versus low-foreclosure-risk areas after adjusting for income (HFR OR: 1.78; 95% CI: 1.01–3.15), physical activity (HFR OR: 1.74; 95% CI: 0.98–3.08), and perceived neighborhood conditions (HFR OR: 1.76; 95% CI: 1.02–3.05).

Conclusions

Breast cancer survivors who lived in census tracts with high- versus low-foreclosure risk reported poorer health status. This association was explained by differences in household income, physical activity, and perceived neighborhood conditions.
vorige artikel The influence of neighborhood factors on the quality of life of older adults attending New York City senior centers: results from the Health Indicators Project
volgende artikel Circulating levels of a biomarker of collagen metabolism are associated with health-related quality of life in patients with chronic heart failure
Voetnoten
1
Foreclosure: A situation in which a homeowner is unable to make principal and/or interest payments on his or her mortgage, so the lender, be it a bank or building society, can seize and sell the property as stipulated in the terms of the mortgage contract.
 
Literatuur
1.
2.
3.
Pollack, C. E., & Lynch, J. (2009). Health status of people undergoing foreclosure in the Philadelphia region. American Journal of Public Health, 99, 1833–1839.PubMedCrossRef
4.
Pevalin, D. J. (2009). Housing repossessions, evictions and common mental illness in the UK: Results from a household panel study. Journal of Epidemiology and Community Health, 63(11), 949–951.PubMedCrossRef
5.
Bennett, G. G., Scharoun-Lee, M., Tucker-Seeley, R. (2009). Will the public’s health fall victim to the home foreclosure epidemic? PLoS Medicine, 6(6), e1000087. Epub 2009 Jun 16.
6.
Reisen, W., Takahashi, R., Carroll, B., & Quiring, R. (2008). Delinquent mortgages, neglected swimming pools, and West Nile Virus, California. Emerging Infectious Diseases, 14, 1747–1749.PubMedCrossRef
7.
Riva, M., Gauvin, L., & Barnett, T. A. (2007). Toward the next generation of research into small area effects on health: A synthesis of multilevel investigations published since July 1998. Journal of Epidemiology and Community Health, 61(10), 853–861.PubMedCrossRef
8.
Idler, E. L., & Angel, R. J. (1990). Self-rated health and mortality in the NHANES-I epidemiologic follow-up study. American Journal of Public Health, 80(4), 446–452.PubMedCrossRef
9.
Idler, E. L., & Benyamini, Y. (1997). Self-rated health and mortality: A review of twenty-seven community studies. Journal of Health and Social Behavior, 38(1), 21–37.PubMedCrossRef
10.
Idler, E. L., Russell, L. B., & Davis, D. (2000). Survival, functional limitations, and self-rated health in the NHANES I epidemiologic follow-up study, 1992. American Journal of Epidemiology, 152(9), 874–883.PubMedCrossRef
11.
Hennessy, C. H., Moriarty, D. G., Zack, M. M., Scherr, P. A., & Brackbill, R. (1994). Measuring health-related quality of life for public health surveillance. Public Health Reports, 109(5), 665–672.PubMed
12.
Andresen, E. M., Catlin, T. K., Wyrwich, K. W., & Jackson-Thompson, J. (2003). Retest reliability of surveillance questions on health related quality of life. Journal of Epidemiology and Community Health, 57(5), 339–343.PubMedCrossRef
13.
Moriarty, D., Zack, M., & Kobau, R. (2003). The Centers for Disease Control and Prevention’s Healthy Days measures—Population tracking of perceived physical and mental health over time. Health and Quality of Life Outcomes, 1(1), 37.PubMedCrossRef
14.
Power, C., Matthews, S., & Manor, O. (1996). Inequalities in self rated health in the 1958 birth cohort: Lifetime social circumstances or social mobility? British Medical Journal, 313(7055), 449–453.PubMedCrossRef
15.
Shetterly, S. M., Baxter, J., Mason, L. D., & Hamman, R. F. (1996). Self-rated health among hispanic vs non-hispanic white adults: The San Luis Valley Health and Aging Study. American Journal of Public Health, 86(12), 1798–1801.PubMedCrossRef
16.
Finch, B. K., Hummer, R. A., Reindl, M., & Vega, W. A. (2002). Validity of self-rated health among Latino(a)s. American Journal of Epidemiology, 155(8), 755–759.PubMedCrossRef
17.
18.
Franzini, L., Caughy, M., Spears, W., & Eugenia Fernandez Esquer, M. (2005). Neighborhood economic conditions, social processes, and self-rated health in low-income neighborhoods in Texas: A multilevel latent variables model. Social Science and Medicine, 61(6), 1135–1150.PubMedCrossRef
19.
20.
Castellino, S. M., Casillas, J., Hudson, M. M., Mertens, A. C., Whitton, J., Brooks, S. L., et al. (2005). Minority adult survivors of childhood cancer: A comparison of long-term outcomes, health care utilization, and health-related behaviors from the Childhood Cancer Survivor Study. Journal of Clinical Oncology, 23(27), 6499–6507.PubMedCrossRef
21.
Ross, C., & Mirowsky, J. (1999). Disorder and decay. The concept and measurement of perceived neighborhood disorder. Urban Affairs Review, 34, 412–432.
22.
Sampson, R. J., Raudenbush, S. W., & Earls, F. (1997). Neighborhoods and violent crime, a multilevel study of collective efficacy. Science, 277, 918–924.PubMedCrossRef
23.
Ross, C., Reynolds, J., & Geis, K. (2000). The contingent meaning of neighborhood stability for residents’ psychological well-being. American Sociological Review, 65, 581–597.CrossRef
24.
Krieger, N., Chen, J., Waterman, P., Soobader, M., Subramanian, S., & Carson, R. (2002). Geocoding and monitoring of socioeconomic inequalities in mortality and cancer incidence: does the choice of area-based measure and geographic level matter? American Journal of Epidemiology, 156, 471–482.PubMedCrossRef
25.
Sherbourne, C., & Stewart, A. (1991). The MOS social support survey. Social Science and Medicine, 32, 705–714.PubMedCrossRef
26.
Cohen, S., Kamarck, T., & Mermelstein, R. (1983). A global measure of perceived stress. Journal of Health Social Behavior, 24(4), 385–396.CrossRef
27.
McHorney, C. A., & Lerner, J. (1991). The 1990 NORC National Health Survey: Documentation and codebook. Chicago: National Opinion Research Council.
28.
Kohout, F. J., Berkman, L. F., Evans, D. A., & Cornoni-Huntley, J. (1993). Two shorter forms of the CES-D (Center for Epidemiological Studies Depression) depression symptoms index. Journal on Aging and Health, 5(2), 179–193.CrossRef
29.
Katz, J. N., Chang, L. C., Sangha, O., Fossel, A. H., & Bates, D. W. (1996). Can comorbidity be measured by questionnaire rather than medical record review? Medical Care, 34(1), 73–84.PubMedCrossRef
30.
Schag, C. A., Ganz, P. A., Polinsky, M. L., Fred, C., Hirji, K., & Petersen, L. (1993). Characteristics of women at risk for psychosocial distress in the year after breast cancer. Journal of Clinical Oncology, 11, 783–793.PubMed
31.
Schootman, M., Jeffe, D., West, M., & Aft, R. L. (2005). Comparison of self-reported breast cancer treatment and medical records among older women. Journal of Clinical Epidemiology, 58, 1316–1319.PubMedCrossRef
32.
Wolinsky, F. D., Andresen, E. M., Malmstrom, T. K., Schootman, M., Miller, J. P., & Miller, D. K. (2009). Three-year measured weight change in the African American Health Study. Journal of Aging and Health, 21(2), 231–243.PubMedCrossRef
33.
D’Agostino, R. B., Jr. (1998). Propensity score methods for bias reduction in the comparison of a treatment to a non-randomized control group. Statistics in Medicine, 17(19), 2265–2281.PubMedCrossRef
34.
Rosenbaum, P. R., & Rubin, D. B. (1983). The central role of the propensity score in observational studies for causal effects. Biometrika, 70, 41–55.CrossRef
35.
Rubin, D. B. (1979). Using multivariate matched sampling and regression adjustment to control bias in observational studies. Journal of the American Statistical Association, 74(366), 318–328.CrossRef
36.
Schuetz, J., Been, V., & Ellen, I. G. (2008). Neighborhood effects of concentrated mortgage foreclosures. Journal of Housing Economics, 17(4), 306–319.CrossRef
Metagegevens
Titel
Neighborhood foreclosures and self-rated health among breast cancer survivors
Auteurs
Mario Schootman
Anjali D. Deshpande
Sandi L. Pruitt
Donna B. Jeffe
Publicatiedatum
01-02-2012
Uitgeverij
Springer Netherlands
Gepubliceerd in
Quality of Life Research / Uitgave 1/2012
Print ISSN: 0962-9343
Elektronisch ISSN: 1573-2649
DOI
https://doi.org/10.1007/s11136-011-9929-0

Andere artikelen Uitgave 1/2012

Quality of Life Research 1/2012 Naar de uitgave

Review

Quality and acceptability of patient-reported outcome measures used in chronic fatigue syndrome/myalgic encephalomyelitis (CFS/ME): a systematic review

OriginalPaper

Constantly Proving The Opposite? A test of CPTO using a broad time horizon and correcting for discounting

Brief Communication

Quality of life of adolescents with autism spectrum disorders: concordance among adolescents’ self-reports, parents’ reports, and parents’ proxy reports

OriginalPaper

Measures of relative importance for health-related quality of life

Erratum

Erratum to: Data mining for response shift patterns in multiple sclerosis patients using recursive partitioning tree analysis

Brief Communication

Post-traumatic stress disorder, depression, and health-related quality of life in OEF/OIF veterans