Publication date: December 2017
Source:Cancer Epidemiology, Volume 51
Author(s): Lívia Maria Santiago, Daniel Richard Mercante, Inês Echenique Mattos
BackgroundSelf-rated health is a useful indicator for understanding health issues in elderly populations and considered to be a predictor of adverse health outcomes in this group. This study aims to identify factors associated with self-rated health in elderly people with non-Hodgkin's lymphoma.MethodsCross-sectional study performed at a cancer referral hospital in Rio de Janeiro, Brazil, included 162 patients, aged 60 or more years. All patients received a Multidimensional Geriatric Assessment, including seven health dimensions, and socio-demographic, epidemiological and it were collected clinical data. Descriptive analyses were performed and prevalence ratios were calculated to assess associations between self-rated health and the independent variables. Multivariate analysis was performed using Poisson's regression, to a ≤0.05 level of statistical significance.ResultsThe study population mean age was 68.8 (SD=7.1) years; most were women, lived with a partner and had little education. Prevalence of fair/poor self-rated health was 33.6%. Being female, not living with a partner, functional dependence, depressive symptoms and nutritional risk/malnutrion showed associations with fair/poor self-rated health. In the multiple model, dependence in instrumental activities of daily living (PR 2.96; 95%CI 1.66-5.30) and presence of depressive symptoms (PR 1.78; 95%CI 1.15-2.75) remained associated with fair/poor health.ConclusionVariation in perceived health status supports the hypothesis that self-rated health is related to multiple issues, regardless of disease status. The risk profile for poor self-rated health identified may be a useful tool in care for older cancer patients, as it points to those at higher risk of adverse health outcomes.
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Medicine by Alexandros G. Sfakianakis,Anapafseos 5 Agios Nikolaos 72100 Crete Greece,00302841026182,00306932607174,alsfakia@gmail.com,
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