Cargando…
Predicting physical activity change in cancer survivors: an application of the Health Action Process Approach
PURPOSE: Previous research has not examined the utility of the Health Action Process Approach (HAPA) to predict physical activity (PA) change in cancer survivors. The aim of the study was to investigate the efficacy of a HAPA-based model in predicting temporal change in moderate-to-vigorous physical...
Autores principales: | , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9630182/ https://www.ncbi.nlm.nih.gov/pubmed/34518960 http://dx.doi.org/10.1007/s11764-021-01107-6 |
_version_ | 1784823544072372224 |
---|---|
author | Hardcastle, Sarah J. Maxwell-Smith, Chloe Hagger, Martin S. |
author_facet | Hardcastle, Sarah J. Maxwell-Smith, Chloe Hagger, Martin S. |
author_sort | Hardcastle, Sarah J. |
collection | PubMed |
description | PURPOSE: Previous research has not examined the utility of the Health Action Process Approach (HAPA) to predict physical activity (PA) change in cancer survivors. The aim of the study was to investigate the efficacy of a HAPA-based model in predicting temporal change in moderate-to-vigorous physical activity (MVPA) in cancer survivors. METHODS: Participants enrolled in the Wearable Activity Technology and Action Planning (WATAAP) trial completed validated questionnaires (n = 64) to assess HAPA constructs (action and maintenance self-efficacy, outcome expectancies, action planning, risk perceptions, and intention) and wore an ActiGraph to measure PA at baseline, 12 weeks, and 24 weeks later. Data were analyzed using variance-based structural equation modeling with residualized change scores for model variables. RESULTS: Consistent with predictions, changes in action self-efficacy (β = 0.490, p < 0.001, ES = 0.258) and risk perceptions (β = 0.312, p = 0.003, ES = 0.099) were statistically significant predictors of intention change over time. Changes in intention (β = 0.217, p = 0.029, ES = 0.040) and action planning (β = 0.234, p = 0.068, ES = 0.068) predicted changes in MVPA. Overall, the model accounted for significant variance in intention (R(2) = 0.380) and MVPA (R(2) = 0.228) change. CONCLUSIONS: Changes in intention and action planning were important correlates of MVPA change over 24 weeks. Further, changes in action self-efficacy and risk perceptions predicted changes in intention. Implications for cancer survivors: interventions that foster risk perceptions and self-efficacy, strengthen intentions, and promote action planning may be effective in promoting sustained PA change in cancer survivors. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11764-021-01107-6. |
format | Online Article Text |
id | pubmed-9630182 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-96301822022-11-04 Predicting physical activity change in cancer survivors: an application of the Health Action Process Approach Hardcastle, Sarah J. Maxwell-Smith, Chloe Hagger, Martin S. J Cancer Surviv Article PURPOSE: Previous research has not examined the utility of the Health Action Process Approach (HAPA) to predict physical activity (PA) change in cancer survivors. The aim of the study was to investigate the efficacy of a HAPA-based model in predicting temporal change in moderate-to-vigorous physical activity (MVPA) in cancer survivors. METHODS: Participants enrolled in the Wearable Activity Technology and Action Planning (WATAAP) trial completed validated questionnaires (n = 64) to assess HAPA constructs (action and maintenance self-efficacy, outcome expectancies, action planning, risk perceptions, and intention) and wore an ActiGraph to measure PA at baseline, 12 weeks, and 24 weeks later. Data were analyzed using variance-based structural equation modeling with residualized change scores for model variables. RESULTS: Consistent with predictions, changes in action self-efficacy (β = 0.490, p < 0.001, ES = 0.258) and risk perceptions (β = 0.312, p = 0.003, ES = 0.099) were statistically significant predictors of intention change over time. Changes in intention (β = 0.217, p = 0.029, ES = 0.040) and action planning (β = 0.234, p = 0.068, ES = 0.068) predicted changes in MVPA. Overall, the model accounted for significant variance in intention (R(2) = 0.380) and MVPA (R(2) = 0.228) change. CONCLUSIONS: Changes in intention and action planning were important correlates of MVPA change over 24 weeks. Further, changes in action self-efficacy and risk perceptions predicted changes in intention. Implications for cancer survivors: interventions that foster risk perceptions and self-efficacy, strengthen intentions, and promote action planning may be effective in promoting sustained PA change in cancer survivors. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11764-021-01107-6. Springer US 2021-09-13 2022 /pmc/articles/PMC9630182/ /pubmed/34518960 http://dx.doi.org/10.1007/s11764-021-01107-6 Text en © The Author(s) 2021 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/) . |
spellingShingle | Article Hardcastle, Sarah J. Maxwell-Smith, Chloe Hagger, Martin S. Predicting physical activity change in cancer survivors: an application of the Health Action Process Approach |
title | Predicting physical activity change in cancer survivors: an application of the Health Action Process Approach |
title_full | Predicting physical activity change in cancer survivors: an application of the Health Action Process Approach |
title_fullStr | Predicting physical activity change in cancer survivors: an application of the Health Action Process Approach |
title_full_unstemmed | Predicting physical activity change in cancer survivors: an application of the Health Action Process Approach |
title_short | Predicting physical activity change in cancer survivors: an application of the Health Action Process Approach |
title_sort | predicting physical activity change in cancer survivors: an application of the health action process approach |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9630182/ https://www.ncbi.nlm.nih.gov/pubmed/34518960 http://dx.doi.org/10.1007/s11764-021-01107-6 |
work_keys_str_mv | AT hardcastlesarahj predictingphysicalactivitychangeincancersurvivorsanapplicationofthehealthactionprocessapproach AT maxwellsmithchloe predictingphysicalactivitychangeincancersurvivorsanapplicationofthehealthactionprocessapproach AT haggermartins predictingphysicalactivitychangeincancersurvivorsanapplicationofthehealthactionprocessapproach |