Literature DB >> 22226030

Estimated effects of potential interventions to prevent decreases in self-rated health among breast cancer survivors.

Mario Schootman1, Anjali D Deshpande, Sandi Pruitt, Rebecca Aft, Donna B Jeffe.   

Abstract

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.
Copyright © 2012 Elsevier Inc. All rights reserved.

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Year:  2012        PMID: 22226030      PMCID: PMC3255081          DOI: 10.1016/j.annepidem.2011.10.011

Source DB:  PubMed          Journal:  Ann Epidemiol        ISSN: 1047-2797            Impact factor:   3.797


  37 in total

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2.  Inequalities in self rated health in the 1958 birth cohort: lifetime social circumstances or social mobility?

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5.  Basic methods for sensitivity analysis of biases.

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Journal:  Int J Epidemiol       Date:  1996-12       Impact factor: 7.196

6.  Neighborhoods and violent crime: a multilevel study of collective efficacy.

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Review 7.  Self-rated health and mortality: a review of twenty-seven community studies.

Authors:  E L Idler; Y Benyamini
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9.  Risk factors for functional status decline in community-living elderly people: a systematic literature review.

Authors:  A E Stuck; J M Walthert; T Nikolaus; C J Büla; C Hohmann; J C Beck
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10.  Characteristics of women at risk for psychosocial distress in the year after breast cancer.

Authors:  C A Schag; P A Ganz; M L Polinsky; C Fred; K Hirji; L Petersen
Journal:  J Clin Oncol       Date:  1993-04       Impact factor: 44.544

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  5 in total

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3.  Healthcare experience among older cancer survivors: Analysis of the SEER-CAHPS dataset.

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4.  Disability mediates the impact of common conditions on perceived health.

Authors:  Jordi Alonso; Gemma Vilagut; Núria D Adroher; Somnath Chatterji; Yanling He; Laura Helena Andrade; Evelyn Bromet; Ronny Bruffaerts; John Fayyad; Silvia Florescu; Giovanni de Girolamo; Oye Gureje; Josep Maria Haro; Hristo Hinkov; Chiyi Hu; Noboru Iwata; Sing Lee; Daphna Levinson; Jean Pierre Lépine; Herbert Matschinger; Maria Elena Medina-Mora; Siobhan O'Neill; J Hans Ormel; J Hormel; Jose A Posada-Villa; Nezar Ismet Taib; Miguel Xavier; Ronald C Kessler
Journal:  PLoS One       Date:  2013-06-06       Impact factor: 3.240

5.  The impact of leisure time physical activity on mental health and health perception among people with cancer.

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