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PHYSICAL ACTIVITY AND SEDENTARY BEHAVIOUR CHANGES DURING AND AFTER CARDIAC REHABILITATION: CAN PATIENTS BE CLUSTERED?

OBJECTIVE: To identify clusters of patients according to changes in their physical behaviour during and after cardiac rehabilitation, and to predict cluster membership. METHODS: The study included 533 patients (mean age 57.9 years; 18.2% females) with a recent acute coronary syndrome who participate...

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Autores principales: LIMPENS, Marlou M., VAN DEN BERG, Rita J.G, DEN UIJL, Iris, SUNAMURA, Madoka, VOORTMAN, Trudy, BOERSMA, Eric, TER HOEVE, Nienke
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Medical Journals Sweden AB 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10364624/
https://www.ncbi.nlm.nih.gov/pubmed/37435716
http://dx.doi.org/10.2340/jrm.v55.4343
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author LIMPENS, Marlou M.
VAN DEN BERG, Rita J.G
DEN UIJL, Iris
SUNAMURA, Madoka
VOORTMAN, Trudy
BOERSMA, Eric
TER HOEVE, Nienke
author_facet LIMPENS, Marlou M.
VAN DEN BERG, Rita J.G
DEN UIJL, Iris
SUNAMURA, Madoka
VOORTMAN, Trudy
BOERSMA, Eric
TER HOEVE, Nienke
author_sort LIMPENS, Marlou M.
collection PubMed
description OBJECTIVE: To identify clusters of patients according to changes in their physical behaviour during and after cardiac rehabilitation, and to predict cluster membership. METHODS: The study included 533 patients (mean age 57.9 years; 18.2% females) with a recent acute coronary syndrome who participated in a 12-week multi-disciplinary cardiac rehabilitation programme, within a cohort study design. Physical behaviour (light physical activity, moderate-to vigorous physical activity, step count, and sedentary behaviour) was measured using accelerometry at 4 time-points. To identify clusters of patients according to changes in physical behaviour during and after cardiac rehabilitation, latent class trajectory modelling was applied. Baseline factors to predict cluster membership were assessed using multinomial logistic regression. RESULTS: During and after cardiac rehabilitation, 3 separate clusters were identified for all 4 physical behaviour outcomes: patients with steady levels (comprising 68–83% of the patients), and improving (6–21%) or deteriorating (4–23%) levels. Main predictor for membership to a specific cluster was baseline physical behaviour. Patients with higher starting physical behaviour were more likely to be a member of clusters with deteriorating levels. CONCLUSION: Separate clusters of physical behaviour changes during and after cardiac rehabilitation could be identified. Clusters were mainly distinguished by baseline physical behaviour level. LAY ABSTRACT Physical behaviour is a construct including both physical activity and sedentary behaviour. Healthy levels of physical behaviour are important for cardiac patients. Cardiac rehabilitation programs are designed to promote a heart-healthy lifestyle for this group. Nevertheless, not all patients perform sufficient physical activity after cardiac rehabilitation. It is important to identify patients at risk for disappointing physical behaviour outcomes at an early stage to provide additional care. Outcomes of the current study show that cardiac patients can be clustered according to their change in physical behavior during and after cardiac rehabilitation. The majority showed steady levels and no improvements, but we could also identify groups of patients with improving and deteriorating levels. Patients with higher starting physical activity levels or low sedentary behaviour levels were more likely to be a member of clusters with deteriorating levels. These patients could benefit of additional interventions.
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spelling pubmed-103646242023-07-25 PHYSICAL ACTIVITY AND SEDENTARY BEHAVIOUR CHANGES DURING AND AFTER CARDIAC REHABILITATION: CAN PATIENTS BE CLUSTERED? LIMPENS, Marlou M. VAN DEN BERG, Rita J.G DEN UIJL, Iris SUNAMURA, Madoka VOORTMAN, Trudy BOERSMA, Eric TER HOEVE, Nienke J Rehabil Med Original Report OBJECTIVE: To identify clusters of patients according to changes in their physical behaviour during and after cardiac rehabilitation, and to predict cluster membership. METHODS: The study included 533 patients (mean age 57.9 years; 18.2% females) with a recent acute coronary syndrome who participated in a 12-week multi-disciplinary cardiac rehabilitation programme, within a cohort study design. Physical behaviour (light physical activity, moderate-to vigorous physical activity, step count, and sedentary behaviour) was measured using accelerometry at 4 time-points. To identify clusters of patients according to changes in physical behaviour during and after cardiac rehabilitation, latent class trajectory modelling was applied. Baseline factors to predict cluster membership were assessed using multinomial logistic regression. RESULTS: During and after cardiac rehabilitation, 3 separate clusters were identified for all 4 physical behaviour outcomes: patients with steady levels (comprising 68–83% of the patients), and improving (6–21%) or deteriorating (4–23%) levels. Main predictor for membership to a specific cluster was baseline physical behaviour. Patients with higher starting physical behaviour were more likely to be a member of clusters with deteriorating levels. CONCLUSION: Separate clusters of physical behaviour changes during and after cardiac rehabilitation could be identified. Clusters were mainly distinguished by baseline physical behaviour level. LAY ABSTRACT Physical behaviour is a construct including both physical activity and sedentary behaviour. Healthy levels of physical behaviour are important for cardiac patients. Cardiac rehabilitation programs are designed to promote a heart-healthy lifestyle for this group. Nevertheless, not all patients perform sufficient physical activity after cardiac rehabilitation. It is important to identify patients at risk for disappointing physical behaviour outcomes at an early stage to provide additional care. Outcomes of the current study show that cardiac patients can be clustered according to their change in physical behavior during and after cardiac rehabilitation. The majority showed steady levels and no improvements, but we could also identify groups of patients with improving and deteriorating levels. Patients with higher starting physical activity levels or low sedentary behaviour levels were more likely to be a member of clusters with deteriorating levels. These patients could benefit of additional interventions. Medical Journals Sweden AB 2023-07-12 /pmc/articles/PMC10364624/ /pubmed/37435716 http://dx.doi.org/10.2340/jrm.v55.4343 Text en © Published by Medical Journals Sweden, on behalf of the Foundation for Rehabilitation Information https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (https://creativecommons.org/licenses/by-nc/4.0/)
spellingShingle Original Report
LIMPENS, Marlou M.
VAN DEN BERG, Rita J.G
DEN UIJL, Iris
SUNAMURA, Madoka
VOORTMAN, Trudy
BOERSMA, Eric
TER HOEVE, Nienke
PHYSICAL ACTIVITY AND SEDENTARY BEHAVIOUR CHANGES DURING AND AFTER CARDIAC REHABILITATION: CAN PATIENTS BE CLUSTERED?
title PHYSICAL ACTIVITY AND SEDENTARY BEHAVIOUR CHANGES DURING AND AFTER CARDIAC REHABILITATION: CAN PATIENTS BE CLUSTERED?
title_full PHYSICAL ACTIVITY AND SEDENTARY BEHAVIOUR CHANGES DURING AND AFTER CARDIAC REHABILITATION: CAN PATIENTS BE CLUSTERED?
title_fullStr PHYSICAL ACTIVITY AND SEDENTARY BEHAVIOUR CHANGES DURING AND AFTER CARDIAC REHABILITATION: CAN PATIENTS BE CLUSTERED?
title_full_unstemmed PHYSICAL ACTIVITY AND SEDENTARY BEHAVIOUR CHANGES DURING AND AFTER CARDIAC REHABILITATION: CAN PATIENTS BE CLUSTERED?
title_short PHYSICAL ACTIVITY AND SEDENTARY BEHAVIOUR CHANGES DURING AND AFTER CARDIAC REHABILITATION: CAN PATIENTS BE CLUSTERED?
title_sort physical activity and sedentary behaviour changes during and after cardiac rehabilitation: can patients be clustered?
topic Original Report
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10364624/
https://www.ncbi.nlm.nih.gov/pubmed/37435716
http://dx.doi.org/10.2340/jrm.v55.4343
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