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PurposePrevious 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.MethodsParticipants 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.ResultsConsistent with predictions, changes in action self-efficacy (β = 0.490, p

RATIONALE:Familial Hypercholesterolemia (FH) is a genetic condition that predisposes patients to substantially increased risk of early-onset atherosclerotic cardiovascular disease. FH risks can be minimized through regular participation in three self-management. BEHAVIORS: physical activity, healthy eating, and taking cholesterol lowering medication. OBJECTIVE:The present study tested the effectiveness of an integrated social cognition model in predicting intention to participate in the self-management behaviors in FH patients from seven countries. METHOD:Consecutive patients in FH clinics from Australia, Hong Kong, Brazil, Malaysia, Taiwan, China, and UK (total N = 726) completed measures of social cognitive beliefs about illness from the common sense model of self-regulation, beliefs about behaviors from the theory of planned behavior, and past behavior for the three self-management behaviors. RESULTS:Structural equation models indicated that beliefs about behaviors from the theory of planned behavior, namely, attitudes, subjective norms, and perceived behavioral control, were consistent predictors of intention across samples and behaviors. By comparison, effects of beliefs about illness from the common sense model were smaller and trivial in size. Beliefs partially mediated past behavior effects on intention, although indirect effects of past behavior on intention were larger for physical activity relative to taking medication and healthy eating. Model constructs did not fully account for past behavior effects on intentions. Variability in the strength of the beliefs about behaviors was observed across samples and behaviors. CONCLUSION:Current findings outline the importance of beliefs about behaviors as predictors of FH self-management behaviors. Variability in the relative contribution of the beliefs across samples and behaviors highlights the imperative of identifying sample- and behavior-specific correlates of FH self-management behaviors.

Primary Aim: To describe the features of implementation in the setting of primary care (PC) for physical activity (PA) interventions that improved total and moderate to vigorous PA (MVPA). Secondary Aim: To assess the scalability potential of effective PC PA interventions. Method: A comprehensive search was conducted across multiple electronic databases to identify relevant studies published between 2012 and 2023. Implementation‐related features were extracted, and the scalability potential of effective PC PA interventions was assessed using the Intervention Scalability Tool (ISAT) as a framework. Results: Twenty‐six studies met the inclusion criteria after screening. Analysis of the implementation‐related features revealed that effective PC PA interventions showed promising reach with a mean participation rate of 43%. Effective PC PA interventions that increased PA were mostly delivered by nurses and were underpinned by the behavioural change techniques (BCTs) of goal setting, feedback and self‐monitoring. The scalability assessment revealed that remote‐based interventions and those delivered by nurses had moderate to high scores in the scalability domains of fidelity, reach and acceptability, delivery setting and workforce, implementation infrastructure and sustainability. Conclusion: PC PA interventions, whether delivered remotely or face‐to‐face, show promise for increasing PA, especially when incorporating BCTs like goal setting and feedback. Using the ISAT, most interventions displayed promise for implementation at scale, but further examination is needed concerning the delivery setting, implementation infrastructure and sustainability of these interventions. Remote‐based (automated PA advice and mailed instructions) PA interventions and those delivered in contact with a nurse showed high scalability potential. Further work that examines the acceptability and effectiveness of other healthcare professionals in intervention delivery would be worthwhile, and more work is needed to assess the utility and effectiveness of remote‐based PA interventions in PC. [ABSTRACT FROM AUTHOR]

Background: The PPARCS trial examined the efficacy of a distance-based wearable and health coaching intervention to increase physical activity (PA) in breast and colorectal cancer (CRC) survivors living in non-metropolitan areas. This paper examines the effects of the intervention on health-related quality of life (HRQoL) at 12 weeks (T2; end of intervention) and 24 weeks (T3; follow-up). Methods: Participants that were insufficiently physically active and had successfully completed cancer treatment were randomised to an intervention or control group. PA was assessed using an ActiGraph (GT9X) at baseline, T2, and T3. Intervention effects on HRQoL were analysed using quantile regression comparing treatment groups across time. Results: A total of 87 were randomised to intervention and control groups. There were generally no statistically significant differences between the groups on any HRQoL item except for pain. There was an arm (F(1, 219) = 5.0. p = 0.027) and time (F(2,221) = 4.8, p = 0.009) effect, reflecting the higher pain scores in the control group when collapsed across time points (median difference 16.7, CI 1.9 to 31.4, p = 0.027). For global HRQoL, the intervention group increased by 8.3 points between T1 and T2. The overall group median when collapsed across time was 16.7 points CI 8.2 to 25.2, p <0.001) greater in the intervention group than controls. Conclusions: While the PPARCS intervention resulted in significant increases in PA, participants indicated a high HRQoL at baseline, leaving little room for improvement. Findings suggest that PA may improve global HRQoL and pain in breast and CRC survivors. [ABSTRACT FROM AUTHOR]