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The effect of e-health interventions promoting physical activity in older people: a systematic review and meta-analysis
INTRODUCTION: The objectives of this review paper were to synthesize the data from randomized controlled trials in the literature to come to a conclusion on the effects of e-health interventions on promoting physical activity in older people. METHODS: The Medline, CINAHL, Embase, PsycINFO, and Sport...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7175509/ https://www.ncbi.nlm.nih.gov/pubmed/32336996 http://dx.doi.org/10.1186/s11556-020-00239-5 |
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author | Kwan, Rick Yiu Cho Salihu, Dauda Lee, Paul Hong Tse, Mimi Cheung, Daphne Sze Ki Roopsawang, Inthira Choi, Kup Sze |
author_facet | Kwan, Rick Yiu Cho Salihu, Dauda Lee, Paul Hong Tse, Mimi Cheung, Daphne Sze Ki Roopsawang, Inthira Choi, Kup Sze |
author_sort | Kwan, Rick Yiu Cho |
collection | PubMed |
description | INTRODUCTION: The objectives of this review paper were to synthesize the data from randomized controlled trials in the literature to come to a conclusion on the effects of e-health interventions on promoting physical activity in older people. METHODS: The Medline, CINAHL, Embase, PsycINFO, and SportDiscus databases were searched for articles about studies that 1) recruited subjects with a mean age of > 50 years, 2) tested e-health interventions, 3) employed control groups with no or less advanced e-health strategies, 4) measured physical activity as an outcome, 5) were published between 1st January 2008 and 31st May 2019, and 6) employed randomized controlled trials. The risk of bias in individual studies was assessed using the Physiotherapy Evidence Database scale. To examine the effects of the interventions, variables quantifying the amount of physical activity were extracted. The within-group effects of individual studies were summarized using Hedges g and 95% confidence intervals. Between-group effects were summarized by meta-analyses using RevMan 5.0 with a random effect model. RESULTS: Of the 2810 identified studies, 38 were eligible, 25 were included in the meta-analyses. The within-group effect sizes (Hedges g) of physical activity in the intervention group at T1 ranged from small to large: physical activity time (0.12 to 0.84), step counts (− 0.01 to 11.19), energy expenditure (− 0.05 to 0.86), walking time (0.13 to 3.33), and sedentary time (− 0.12 to − 0.28). The delayed effects as observed in T2 and T3 also ranged from small to large: physical activity time (0.24 to 1.24) and energy expenditure (0.15 to 1.32). In the meta-analysis, the between-group effect of the e-health intervention on physical activity time measured by questionnaires, physical activity time measured by objective wearable devices, energy expenditure, and step counts were all significant with minimal heterogeneity. CONCLUSION: E-health interventions are effective at increasing the time spent on physical activity, energy expenditure in physical activity, and the number of walking steps. It is recommended that e-health interventions be included in guidelines to enhance physical activity in older people. Further studies should be conducted to determine the most effective e-health strategies. |
format | Online Article Text |
id | pubmed-7175509 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-71755092020-04-24 The effect of e-health interventions promoting physical activity in older people: a systematic review and meta-analysis Kwan, Rick Yiu Cho Salihu, Dauda Lee, Paul Hong Tse, Mimi Cheung, Daphne Sze Ki Roopsawang, Inthira Choi, Kup Sze Eur Rev Aging Phys Act Review Article INTRODUCTION: The objectives of this review paper were to synthesize the data from randomized controlled trials in the literature to come to a conclusion on the effects of e-health interventions on promoting physical activity in older people. METHODS: The Medline, CINAHL, Embase, PsycINFO, and SportDiscus databases were searched for articles about studies that 1) recruited subjects with a mean age of > 50 years, 2) tested e-health interventions, 3) employed control groups with no or less advanced e-health strategies, 4) measured physical activity as an outcome, 5) were published between 1st January 2008 and 31st May 2019, and 6) employed randomized controlled trials. The risk of bias in individual studies was assessed using the Physiotherapy Evidence Database scale. To examine the effects of the interventions, variables quantifying the amount of physical activity were extracted. The within-group effects of individual studies were summarized using Hedges g and 95% confidence intervals. Between-group effects were summarized by meta-analyses using RevMan 5.0 with a random effect model. RESULTS: Of the 2810 identified studies, 38 were eligible, 25 were included in the meta-analyses. The within-group effect sizes (Hedges g) of physical activity in the intervention group at T1 ranged from small to large: physical activity time (0.12 to 0.84), step counts (− 0.01 to 11.19), energy expenditure (− 0.05 to 0.86), walking time (0.13 to 3.33), and sedentary time (− 0.12 to − 0.28). The delayed effects as observed in T2 and T3 also ranged from small to large: physical activity time (0.24 to 1.24) and energy expenditure (0.15 to 1.32). In the meta-analysis, the between-group effect of the e-health intervention on physical activity time measured by questionnaires, physical activity time measured by objective wearable devices, energy expenditure, and step counts were all significant with minimal heterogeneity. CONCLUSION: E-health interventions are effective at increasing the time spent on physical activity, energy expenditure in physical activity, and the number of walking steps. It is recommended that e-health interventions be included in guidelines to enhance physical activity in older people. Further studies should be conducted to determine the most effective e-health strategies. BioMed Central 2020-04-21 /pmc/articles/PMC7175509/ /pubmed/32336996 http://dx.doi.org/10.1186/s11556-020-00239-5 Text en © The Author(s) 2020 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/. The Creative Commons Public Domain Dedication waiver (http://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 | Review Article Kwan, Rick Yiu Cho Salihu, Dauda Lee, Paul Hong Tse, Mimi Cheung, Daphne Sze Ki Roopsawang, Inthira Choi, Kup Sze The effect of e-health interventions promoting physical activity in older people: a systematic review and meta-analysis |
title | The effect of e-health interventions promoting physical activity in older people: a systematic review and meta-analysis |
title_full | The effect of e-health interventions promoting physical activity in older people: a systematic review and meta-analysis |
title_fullStr | The effect of e-health interventions promoting physical activity in older people: a systematic review and meta-analysis |
title_full_unstemmed | The effect of e-health interventions promoting physical activity in older people: a systematic review and meta-analysis |
title_short | The effect of e-health interventions promoting physical activity in older people: a systematic review and meta-analysis |
title_sort | effect of e-health interventions promoting physical activity in older people: a systematic review and meta-analysis |
topic | Review Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7175509/ https://www.ncbi.nlm.nih.gov/pubmed/32336996 http://dx.doi.org/10.1186/s11556-020-00239-5 |
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