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Biological health or lived health: which predicts self-reported general health better?

BACKGROUND: Lived health is a person’s level of functioning in his or her current environment and depends both on the person’s environment and biological health. Our study addresses the question whether biological health or lived health is more predictive of self-reported general health (SRGH). METH...

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Autores principales: Bostan, Cristina, Oberhauser, Cornelia, Stucki, Gerold, Bickenbach, Jerome, Cieza, Alarcos
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3943451/
https://www.ncbi.nlm.nih.gov/pubmed/24555764
http://dx.doi.org/10.1186/1471-2458-14-189
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author Bostan, Cristina
Oberhauser, Cornelia
Stucki, Gerold
Bickenbach, Jerome
Cieza, Alarcos
author_facet Bostan, Cristina
Oberhauser, Cornelia
Stucki, Gerold
Bickenbach, Jerome
Cieza, Alarcos
author_sort Bostan, Cristina
collection PubMed
description BACKGROUND: Lived health is a person’s level of functioning in his or her current environment and depends both on the person’s environment and biological health. Our study addresses the question whether biological health or lived health is more predictive of self-reported general health (SRGH). METHODS: This is a psychometric study using cross-sectional data from the Spanish Survey on Disability, Independence and Dependency Situation. Data was collected from 17,739 people in the community and 9,707 from an institutionalized population. The following analysis steps were performed: (1) a biological health and a lived health score were calculated for each person by constructing a biological health scale and a lived health scale using Samejima’s Graded Response Model; and (2) variable importance measures were calculated for each study population using Random Forest, with SRGH as the dependent variable and the biological health and the lived health scores as independent variables. RESULTS: The levels of biological health were higher for the community-dwelling population than for the institutionalized population. When technical assistance, personal assistance or both were received, the difference in lived health between the community-dwelling population and institutionalized population was smaller. According to Random Forest’s variable importance measures, for both study populations, lived health is a more important predictor of SRGH than biological health. CONCLUSIONS: In general, people base their evaluation of their own health on their lived health experience rather than their experience of biological health. This study also sheds light on the challenges of assessing biological health and lived health at the general population level.
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spelling pubmed-39434512014-03-06 Biological health or lived health: which predicts self-reported general health better? Bostan, Cristina Oberhauser, Cornelia Stucki, Gerold Bickenbach, Jerome Cieza, Alarcos BMC Public Health Research Article BACKGROUND: Lived health is a person’s level of functioning in his or her current environment and depends both on the person’s environment and biological health. Our study addresses the question whether biological health or lived health is more predictive of self-reported general health (SRGH). METHODS: This is a psychometric study using cross-sectional data from the Spanish Survey on Disability, Independence and Dependency Situation. Data was collected from 17,739 people in the community and 9,707 from an institutionalized population. The following analysis steps were performed: (1) a biological health and a lived health score were calculated for each person by constructing a biological health scale and a lived health scale using Samejima’s Graded Response Model; and (2) variable importance measures were calculated for each study population using Random Forest, with SRGH as the dependent variable and the biological health and the lived health scores as independent variables. RESULTS: The levels of biological health were higher for the community-dwelling population than for the institutionalized population. When technical assistance, personal assistance or both were received, the difference in lived health between the community-dwelling population and institutionalized population was smaller. According to Random Forest’s variable importance measures, for both study populations, lived health is a more important predictor of SRGH than biological health. CONCLUSIONS: In general, people base their evaluation of their own health on their lived health experience rather than their experience of biological health. This study also sheds light on the challenges of assessing biological health and lived health at the general population level. BioMed Central 2014-02-21 /pmc/articles/PMC3943451/ /pubmed/24555764 http://dx.doi.org/10.1186/1471-2458-14-189 Text en Copyright © 2014 Bostan et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited.
spellingShingle Research Article
Bostan, Cristina
Oberhauser, Cornelia
Stucki, Gerold
Bickenbach, Jerome
Cieza, Alarcos
Biological health or lived health: which predicts self-reported general health better?
title Biological health or lived health: which predicts self-reported general health better?
title_full Biological health or lived health: which predicts self-reported general health better?
title_fullStr Biological health or lived health: which predicts self-reported general health better?
title_full_unstemmed Biological health or lived health: which predicts self-reported general health better?
title_short Biological health or lived health: which predicts self-reported general health better?
title_sort biological health or lived health: which predicts self-reported general health better?
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3943451/
https://www.ncbi.nlm.nih.gov/pubmed/24555764
http://dx.doi.org/10.1186/1471-2458-14-189
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