Estimated Effects of Potential Interventions to Prevent Decreases in Self-Rated Health Among Breast Cancer Survivors
Purpose
To estimate the effect of hypothetical changes in modifiable predictors on the incidence of fair-to-poor self-rated health (SRH) in breast cancer survivors.
Methods
In 2007–2008, we interviewed 832 breast cancer survivors 1 year after diagnosis (baseline) and 1 year later. First, multivariable logistic regression models estimated the association between the predictors (sociodemographic factors, access to medical care, comorbid conditions, psychosocial factors, perceived neighborhood conditions, cancer-related behaviors, clinical factors) and SRH. Second, we estimated the probabilities of fair-to-poor SRH for values of the predictors for each breast cancer survivor. Third, we estimated the population-wide effect of potential changes in modifiable predictors on the incidence of fair-to-poor SRH.
Results
A total of 7.6% of participants (92.4% white; mean age, 58.0 years) whose SRH was rated good-to-excellent at baseline reported fair-to-poor SRH 1 year later. The largest potential reduction in incidence of fair-to-poor SRH could be obtained by eliminating surgical side effects (27.8% reduction) and comorbidity (21.8% reduction) and by engaging in any physical activity (19.6% reduction).
Conclusions
A significant portion of the decline in SRH can be avoided by reducing surgical side effects, preventing comorbidity, and improving physical activity with the use of evidence-based strategies.
Key Words: Breast Cancer, Intervention, Disability
Selected Abbreviations and Acronyms: SRH, self-rated health, BRFSS, Behavioral Risk Factor Surveillance System, OR, odds ratio, CI, confidence interval
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Supported in part by the National Cancer Institute at the National Institutes of Health (CA112159, CA91842) and National Center for Research Resources Washington University-ICTS (KL2 RR024994).
PII: S1047-2797(11)00317-6
doi:10.1016/j.annepidem.2011.10.011
© 2012 Elsevier Inc. All rights reserved.
