Disease Combinations Associated with Physical Activity Identified: The SMILE Cohort Study

In the search of predictors of inadequate physical activity, an investigation was conducted into the association between multimorbidity and physical activity (PA). So far the sum of diseases used as a measure of multimorbidity reveals an inverse association. How specific combinations of chronic dise...

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Main Authors: Sarah Dörenkamp, Ilse Mesters, Jan Schepers, Rein Vos, Marjan van den Akker, Joep Teijink, Rob de Bie
Format: Article
Language:English
Published: Hindawi Limited 2016-01-01
Series:BioMed Research International
Online Access:http://dx.doi.org/10.1155/2016/9053578
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spelling doaj-ba650843bc4a483a8aca50ee77b12e072020-11-25T00:32:10ZengHindawi LimitedBioMed Research International2314-61332314-61412016-01-01201610.1155/2016/90535789053578Disease Combinations Associated with Physical Activity Identified: The SMILE Cohort StudySarah Dörenkamp0Ilse Mesters1Jan Schepers2Rein Vos3Marjan van den Akker4Joep Teijink5Rob de Bie6Department of Epidemiology and CAPHRI School for Public Health and Primary Care, Functioning and Rehabilitation Programme, Maastricht University, 6229 ER Maastricht, NetherlandsDepartment of Epidemiology and CAPHRI School for Public Health and Primary Care, Functioning and Rehabilitation Programme, Maastricht University, 6229 ER Maastricht, NetherlandsDepartment of Methodology and Statistics, CAPHRI School for Public Health and Primary Care, Maastricht University, 6229 ER Maastricht, NetherlandsDepartment of Methodology and Statistics, CAPHRI School for Public Health and Primary Care, Maastricht University, 6229 ER Maastricht, NetherlandsDepartment of Family Medicine, CAPHRI School for Public Health and Primary Care, Maastricht University, 6229 ER Maastricht, NetherlandsDepartment of Epidemiology and CAPHRI School for Public Health and Primary Care, Functioning and Rehabilitation Programme, Maastricht University, 6229 ER Maastricht, NetherlandsDepartment of Epidemiology and CAPHRI School for Public Health and Primary Care, Functioning and Rehabilitation Programme, Maastricht University, 6229 ER Maastricht, NetherlandsIn the search of predictors of inadequate physical activity, an investigation was conducted into the association between multimorbidity and physical activity (PA). So far the sum of diseases used as a measure of multimorbidity reveals an inverse association. How specific combinations of chronic diseases are associated with PA remains unclear. The objective of this study is to identify clusters of multimorbidity that are associated with PA. Cross-sectional data of 3,386 patients from the 2003 wave of the Dutch cohort study SMILE were used. Ward’s agglomerative hierarchical clustering was executed to establish multimorbidity clusters. Chi-square statistics were used to assess the association between clusters of chronic diseases and PA, measured in compliance with the Dutch PA guideline. The highest rate of PA guideline compliance was found in patients the majority of whom suffer from liver disease, back problems, rheumatoid arthritis, osteoarthritis, and inflammatory joint disease (62.4%). The lowest rate of PA guideline compliance was reported in patients with heart disease, respiratory disease, and diabetes mellitus (55.8%). Within the group of people with multimorbidity, those suffering from heart disease, respiratory disease, and/or diabetes mellitus may constitute a priority population as PA has proven to be effective in the prevention and cure of all three disorders.http://dx.doi.org/10.1155/2016/9053578
collection DOAJ
language English
format Article
sources DOAJ
author Sarah Dörenkamp
Ilse Mesters
Jan Schepers
Rein Vos
Marjan van den Akker
Joep Teijink
Rob de Bie
spellingShingle Sarah Dörenkamp
Ilse Mesters
Jan Schepers
Rein Vos
Marjan van den Akker
Joep Teijink
Rob de Bie
Disease Combinations Associated with Physical Activity Identified: The SMILE Cohort Study
BioMed Research International
author_facet Sarah Dörenkamp
Ilse Mesters
Jan Schepers
Rein Vos
Marjan van den Akker
Joep Teijink
Rob de Bie
author_sort Sarah Dörenkamp
title Disease Combinations Associated with Physical Activity Identified: The SMILE Cohort Study
title_short Disease Combinations Associated with Physical Activity Identified: The SMILE Cohort Study
title_full Disease Combinations Associated with Physical Activity Identified: The SMILE Cohort Study
title_fullStr Disease Combinations Associated with Physical Activity Identified: The SMILE Cohort Study
title_full_unstemmed Disease Combinations Associated with Physical Activity Identified: The SMILE Cohort Study
title_sort disease combinations associated with physical activity identified: the smile cohort study
publisher Hindawi Limited
series BioMed Research International
issn 2314-6133
2314-6141
publishDate 2016-01-01
description In the search of predictors of inadequate physical activity, an investigation was conducted into the association between multimorbidity and physical activity (PA). So far the sum of diseases used as a measure of multimorbidity reveals an inverse association. How specific combinations of chronic diseases are associated with PA remains unclear. The objective of this study is to identify clusters of multimorbidity that are associated with PA. Cross-sectional data of 3,386 patients from the 2003 wave of the Dutch cohort study SMILE were used. Ward’s agglomerative hierarchical clustering was executed to establish multimorbidity clusters. Chi-square statistics were used to assess the association between clusters of chronic diseases and PA, measured in compliance with the Dutch PA guideline. The highest rate of PA guideline compliance was found in patients the majority of whom suffer from liver disease, back problems, rheumatoid arthritis, osteoarthritis, and inflammatory joint disease (62.4%). The lowest rate of PA guideline compliance was reported in patients with heart disease, respiratory disease, and diabetes mellitus (55.8%). Within the group of people with multimorbidity, those suffering from heart disease, respiratory disease, and/or diabetes mellitus may constitute a priority population as PA has proven to be effective in the prevention and cure of all three disorders.
url http://dx.doi.org/10.1155/2016/9053578
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