Dataset Information

Predicting physical activity change in cancer survivors: an application of the Health Action Process Approach.

ABSTRACT:

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 (R² = 0.380) and MVPA (R² = 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.

SUBMITTER: Hardcastle SJ

PROVIDER: S-EPMC9630182 | biostudies-literature | 2022 Dec

REPOSITORIES: biostudies-literature

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Publications

Predicting physical activity change in cancer survivors: an application of the Health Action Process Approach.

Hardcastle Sarah J SJ Maxwell-Smith Chloe C Hagger Martin S MS

Journal of cancer survivorship : research and practice 20210913 6

<h4>Purpose</h4>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.<h4>Methods</h4>Participants enrolled in the Wearable Activity Technology and Action Planning (WATAAP) trial completed validated questionnaires (n = 64) to ...[more]

PMID: 34518960

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Project description:BackgroundEndometrial cancer survivors are at an increased risk of poor quality of life outcomes. Physical activity is positively associated with general quality of life in this population, however, little is known about how changes in physical activity may be associated with changes in specific aspects of quality of life. The aim of this secondary data analysis was to explore the relationships between change in physical activity and change in physical, mental, social, and other aspects of quality of life in endometrial cancer survivors receiving a physical activity intervention.MethodsEndometrial cancer survivors (N = 100) participated in a telephone-based physical activity intervention for six months. At baseline and post-intervention we measured physical activity via accelerometry and ecological momentary assessment, and quality of life via the Short Form Health Survey (SF-36), the Quality of Life of Adult Cancer Survivors instrument, the Brief Symptom Inventory, the Pittsburgh Sleep Quality Index, and the Perceived Stress Scale. We conducted structural equation modeling path analyses to investigate how physical activity post-intervention was associated with the quality of life measures' subscales post-intervention, adjusting for baseline levels and potentially confounding covariates.ResultsIncreasing physical activity was positively associated with improvements in general health (p = .044), role limitation due to physical health (p = .005), pain (p = .041), and somatic distress (p = .023). There was no evidence to indicate that change in physical activity was associated with change in other aspects of quality of life.ConclusionsEndometrial cancer survivors are at higher risk for suffering from challenges to physical quality of life, and findings from this study suggest that increasing physical activity may alleviate some of these problems. Further research is needed to determine whether other aspects of quality of life are linked to change in physical activity.Trial registrationTrial registration number: NCT00501761 Name of registry: clinicaltrials.gov Date of registration: July 16, 2007. Date of enrollment: June 16, 2005.

Project description:BackgroundDigital Mental Health (DMH) tools are an effective, readily accessible, and affordable form of mental health support. However, sustained engagement with DMH is suboptimal, with limited research on DMH engagement. The Health Action Process Approach (HAPA) is an empirically supported theory of health behavior adoption and maintenance. Whether this model also explains DMH tool engagement remains unknown.ObjectiveThis study examined whether an adapted HAPA model predicted engagement with DMH via a self-guided website.MethodsVisitors to the Mental Health America (MHA) website were invited to complete a brief survey measuring HAPA constructs. This cross-sectional study tested the adapted HAPA model with data collected using voluntary response sampling from 16,078 sessions (15,619 unique IP addresses from United States residents) on the MHA website from October 2021 through February 2022. Model fit was examined via structural equation modeling in predicting two engagement outcomes: (1) choice to engage with DMH (ie, spending 3 or more seconds on an MHA page, excluding screening pages) and (2) level of engagement (ie, time spent on MHA pages and number of pages visited, both excluding screening pages).ResultsParticipants chose to engage with the MHA website in 94.3% (15,161/16,078) of the sessions. Perceived need (β=.66; P<.001), outcome expectancies (β=.49; P<.001), self-efficacy (β=.44; P<.001), and perceived risk (β=.17-.18; P<.001) significantly predicted intention, and intention (β=.77; P<.001) significantly predicted planning. Planning was not significantly associated with choice to engage (β=.03; P=.18). Within participants who chose to engage, the association between planning with level of engagement was statistically significant (β=.12; P<.001). Model fit indices for both engagement outcomes were poor, with the adapted HAPA model accounting for only 0.1% and 1.4% of the variance in choice to engage and level of engagement, respectively.ConclusionsOur data suggest that the HAPA model did not predict engagement with DMH via a self-guided website. More research is needed to identify appropriate theoretical frameworks and practical strategies (eg, digital design) to optimize DMH tool engagement.

Dataset Information

Predicting physical activity change in cancer survivors: an application of the Health Action Process Approach.

Purpose

Methods

Results

Conclusions

Implications for cancer survivors

Publications

Predicting physical activity change in cancer survivors: an application of the Health Action Process Approach.

Similar Datasets

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