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Predictors of adherence to prescribed exercise programs for older adults with medical or surgical indications for exercise: a systematic review
BACKGROUND AND OBJECTIVES: Prescribed exercise to treat medical conditions and to prepare for surgery is a promising intervention to prevent adverse health outcomes for older adults; however, adherence to exercise programs may be low. Our objective was to identify and grade the quality of predictors...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9052492/ https://www.ncbi.nlm.nih.gov/pubmed/35488307 http://dx.doi.org/10.1186/s13643-022-01966-9 |
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author | Shaw, Julia F. Pilon, Sophie Vierula, Matthieu McIsaac, Daniel I. |
author_facet | Shaw, Julia F. Pilon, Sophie Vierula, Matthieu McIsaac, Daniel I. |
author_sort | Shaw, Julia F. |
collection | PubMed |
description | BACKGROUND AND OBJECTIVES: Prescribed exercise to treat medical conditions and to prepare for surgery is a promising intervention to prevent adverse health outcomes for older adults; however, adherence to exercise programs may be low. Our objective was to identify and grade the quality of predictors of adherence to prescribed exercise in older adults. METHODS: Prospective observational and experimental studies were identified using a peer-reviewed search strategy applied to MEDLINE, EMBASE, Cochrane, and CINAHL from inception until October 6, 2020. Following an independent and duplicate review of titles, abstracts, and full texts, we included prospective studies with an average population age >65 years, where exercise was formally prescribed for a medical or surgical condition. We excluded studies where exercise was prescribed for a chronic musculoskeletal condition. Risk of bias was assessed using the Quality in Prognostic studies tool or Cochrane risk of bias tool, as appropriate. Predictors of adherence were identified and graded for quality using an adaptation of the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) framework for predictor studies. RESULTS: We included 19 observational studies and 4 randomized controlled trials (n=5785) Indications for exercise included cardiac (n=6), pulmonary rehabilitation (n=7), or other (n=10; surgical, medical, and neurologic). Of the 10 studies that reported adherence as the percent of prescribed sessions completed, average adherence was 80% (range 60–98%; standard deviation (SD) 11%). Of the 10 studies that reported adherence as a categorical threshold demarking adherent vs not adherent, average adherence was 57.5% (range 21–83%; SD 21%). Moderate-quality evidence suggested that positive predictors of adherence were self-efficacy and good self-rated mental health; negative predictors were depression (high quality) and distance from the exercise facility. Moderate-quality evidence suggested that comorbidity and age were not predictive of adherence. CONCLUSIONS: These findings can inform the design of future exercise programs as well as the identification of individuals who may require extra support to benefit from prescribed exercise. SYSTEMATIC REVIEW REGISTRATION: PROSPERO CRD42018108242 SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13643-022-01966-9. |
format | Online Article Text |
id | pubmed-9052492 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-90524922022-04-30 Predictors of adherence to prescribed exercise programs for older adults with medical or surgical indications for exercise: a systematic review Shaw, Julia F. Pilon, Sophie Vierula, Matthieu McIsaac, Daniel I. Syst Rev Research BACKGROUND AND OBJECTIVES: Prescribed exercise to treat medical conditions and to prepare for surgery is a promising intervention to prevent adverse health outcomes for older adults; however, adherence to exercise programs may be low. Our objective was to identify and grade the quality of predictors of adherence to prescribed exercise in older adults. METHODS: Prospective observational and experimental studies were identified using a peer-reviewed search strategy applied to MEDLINE, EMBASE, Cochrane, and CINAHL from inception until October 6, 2020. Following an independent and duplicate review of titles, abstracts, and full texts, we included prospective studies with an average population age >65 years, where exercise was formally prescribed for a medical or surgical condition. We excluded studies where exercise was prescribed for a chronic musculoskeletal condition. Risk of bias was assessed using the Quality in Prognostic studies tool or Cochrane risk of bias tool, as appropriate. Predictors of adherence were identified and graded for quality using an adaptation of the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) framework for predictor studies. RESULTS: We included 19 observational studies and 4 randomized controlled trials (n=5785) Indications for exercise included cardiac (n=6), pulmonary rehabilitation (n=7), or other (n=10; surgical, medical, and neurologic). Of the 10 studies that reported adherence as the percent of prescribed sessions completed, average adherence was 80% (range 60–98%; standard deviation (SD) 11%). Of the 10 studies that reported adherence as a categorical threshold demarking adherent vs not adherent, average adherence was 57.5% (range 21–83%; SD 21%). Moderate-quality evidence suggested that positive predictors of adherence were self-efficacy and good self-rated mental health; negative predictors were depression (high quality) and distance from the exercise facility. Moderate-quality evidence suggested that comorbidity and age were not predictive of adherence. CONCLUSIONS: These findings can inform the design of future exercise programs as well as the identification of individuals who may require extra support to benefit from prescribed exercise. SYSTEMATIC REVIEW REGISTRATION: PROSPERO CRD42018108242 SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13643-022-01966-9. BioMed Central 2022-04-29 /pmc/articles/PMC9052492/ /pubmed/35488307 http://dx.doi.org/10.1186/s13643-022-01966-9 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Shaw, Julia F. Pilon, Sophie Vierula, Matthieu McIsaac, Daniel I. Predictors of adherence to prescribed exercise programs for older adults with medical or surgical indications for exercise: a systematic review |
title | Predictors of adherence to prescribed exercise programs for older adults with medical or surgical indications for exercise: a systematic review |
title_full | Predictors of adherence to prescribed exercise programs for older adults with medical or surgical indications for exercise: a systematic review |
title_fullStr | Predictors of adherence to prescribed exercise programs for older adults with medical or surgical indications for exercise: a systematic review |
title_full_unstemmed | Predictors of adherence to prescribed exercise programs for older adults with medical or surgical indications for exercise: a systematic review |
title_short | Predictors of adherence to prescribed exercise programs for older adults with medical or surgical indications for exercise: a systematic review |
title_sort | predictors of adherence to prescribed exercise programs for older adults with medical or surgical indications for exercise: a systematic review |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9052492/ https://www.ncbi.nlm.nih.gov/pubmed/35488307 http://dx.doi.org/10.1186/s13643-022-01966-9 |
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