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Patterns of Chronic Conditions and Their Associations With Behaviors and Quality of Life, 2010

INTRODUCTION: Co-occurring chronic health conditions elevate the risk of poor health outcomes such as death and disability, are associated with poor quality of life, and magnify the complexities of self-management, care coordination, and treatment planning. This study assessed patterns of both singu...

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Autores principales: Barile, John P., Mitchell, Sandra A., Thompson, William W., Zack, Matthew M., Reeve, Bryce B., Cella, David, Smith, Ashley Wilder
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Centers for Disease Control and Prevention 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5241639/
https://www.ncbi.nlm.nih.gov/pubmed/26679491
http://dx.doi.org/10.5888/pcd12.150179
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author Barile, John P.
Mitchell, Sandra A.
Thompson, William W.
Zack, Matthew M.
Reeve, Bryce B.
Cella, David
Smith, Ashley Wilder
author_facet Barile, John P.
Mitchell, Sandra A.
Thompson, William W.
Zack, Matthew M.
Reeve, Bryce B.
Cella, David
Smith, Ashley Wilder
author_sort Barile, John P.
collection PubMed
description INTRODUCTION: Co-occurring chronic health conditions elevate the risk of poor health outcomes such as death and disability, are associated with poor quality of life, and magnify the complexities of self-management, care coordination, and treatment planning. This study assessed patterns of both singular and multiple chronic conditions, behavioral risk factors, and quality of life in a population-based sample. METHODS: In a national survey, adults (n = 4,184) answered questions about the presence of 27 chronic conditions. We used latent class analysis to identify patterns of chronic conditions and to explore associations of latent class membership with sociodemographic characteristics, behavioral risk factors, and health. RESULTS: Latent class analyses indicated 4 morbidity profiles: a healthy class (class 1), a class with predominantly physical health conditions (class 2), a class with predominantly mental health conditions (class 3), and a class with both physical and mental health conditions (class 4). Class 4 respondents reported significantly worse physical health and well-being and more days of activity limitation than those in the other latent classes. Class 4 respondents were also more likely to be obese and sedentary, and those with predominantly mental health conditions were most likely to be current smokers. CONCLUSIONS: Subgroups with distinct patterns of chronic conditions can provide direction for screening and surveillance, guideline development, and the delivery of complex care services.
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spelling pubmed-52416392017-02-01 Patterns of Chronic Conditions and Their Associations With Behaviors and Quality of Life, 2010 Barile, John P. Mitchell, Sandra A. Thompson, William W. Zack, Matthew M. Reeve, Bryce B. Cella, David Smith, Ashley Wilder Prev Chronic Dis Original Research INTRODUCTION: Co-occurring chronic health conditions elevate the risk of poor health outcomes such as death and disability, are associated with poor quality of life, and magnify the complexities of self-management, care coordination, and treatment planning. This study assessed patterns of both singular and multiple chronic conditions, behavioral risk factors, and quality of life in a population-based sample. METHODS: In a national survey, adults (n = 4,184) answered questions about the presence of 27 chronic conditions. We used latent class analysis to identify patterns of chronic conditions and to explore associations of latent class membership with sociodemographic characteristics, behavioral risk factors, and health. RESULTS: Latent class analyses indicated 4 morbidity profiles: a healthy class (class 1), a class with predominantly physical health conditions (class 2), a class with predominantly mental health conditions (class 3), and a class with both physical and mental health conditions (class 4). Class 4 respondents reported significantly worse physical health and well-being and more days of activity limitation than those in the other latent classes. Class 4 respondents were also more likely to be obese and sedentary, and those with predominantly mental health conditions were most likely to be current smokers. CONCLUSIONS: Subgroups with distinct patterns of chronic conditions can provide direction for screening and surveillance, guideline development, and the delivery of complex care services. Centers for Disease Control and Prevention 2015-12-17 /pmc/articles/PMC5241639/ /pubmed/26679491 http://dx.doi.org/10.5888/pcd12.150179 Text en https://creativecommons.org/licenses/by/4.0/This is a publication of the U.S. Government. This publication is in the public domain and is therefore without copyright. All text from this work may be reprinted freely. Use of these materials should be properly cited.
spellingShingle Original Research
Barile, John P.
Mitchell, Sandra A.
Thompson, William W.
Zack, Matthew M.
Reeve, Bryce B.
Cella, David
Smith, Ashley Wilder
Patterns of Chronic Conditions and Their Associations With Behaviors and Quality of Life, 2010
title Patterns of Chronic Conditions and Their Associations With Behaviors and Quality of Life, 2010
title_full Patterns of Chronic Conditions and Their Associations With Behaviors and Quality of Life, 2010
title_fullStr Patterns of Chronic Conditions and Their Associations With Behaviors and Quality of Life, 2010
title_full_unstemmed Patterns of Chronic Conditions and Their Associations With Behaviors and Quality of Life, 2010
title_short Patterns of Chronic Conditions and Their Associations With Behaviors and Quality of Life, 2010
title_sort patterns of chronic conditions and their associations with behaviors and quality of life, 2010
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5241639/
https://www.ncbi.nlm.nih.gov/pubmed/26679491
http://dx.doi.org/10.5888/pcd12.150179
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