A randomized controlled trial of Promoting Physical Activity in Regional and Remote Cancer Survivors (PPARCS)

The promoting physical activity in regional and remote cancer survivors (PPARCS) trial: Physical activity maintenance

INTRODUCTION

The study examined whether increased physical activity (PA) in nonmetropolitan cancer survivors was maintained 12 weeks following the PPARCS intervention.

METHODS

PA outcomes were assessed using an accelerometer at baseline, end of the intervention, and at 24 weeks. Linear mixed models were used to examine between-group changes in PA outcomes.

RESULTS

The increased moderate-to-vigorous PA (MVPA) following intervention was maintained with significantly higher MVPA in the intervention group at 24 weeks (vs. controls) compared to baseline nett change of 52.5 min/week (95% CI 11.0-94.0.4).

CONCLUSIONS

Distance-based interventions using wearables and health coaching may produce MVPA maintenance amongst nonmetropolitan cancer survivors.

The effectiveness of E-health interventions promoting physical activity in cancer survivors: a systematic review and meta-analysis of randomized controlled trials

PURPOSE

This systematic review and meta-analysis aimed to identify whether E-health interventions effectively improve physical activity (PA) in cancer survivors.

METHODS

PubMed, Web of Science, and Cochrane Library databases were searched from inception to October 21, 2023. Randomized controlled trials reporting the effect of E-health interventions on PA among cancer survivors were included. Random-effect models were used to calculate standardized mean differences (SMD) and the 95% confidence interval (CI).

RESULTS

In total, 15 trials with 2,291 cancer survivors were included in this meta-analysis. The results showed that E-health interventions improved moderate to vigorous physical activity (MVPA) among cancer survivors (SMD = 0.26, 95% CI 0.08, 0.43, N = 8, p < 0.001, I2 = 37%), as well as moderate physical activity (MPA) (SMD = 0.22, 95% CI 0.05, 0.38, N = 9, p < 0.001, I2 = 28%) and vigorous physical activity (VPA) (SMD = 0.34, 95% CI 0.15, 0.54, N = 6, p < 0.001, I2 = 11%).

CONCLUSION

E-health interventions are effective at promoting PA among cancer survivors. As current research primarily focuses on immediate post-intervention measurements with limited follow-up data, further investigation is required to explore the long-term effects of E-health interventions on PA.

Pharmacists' perceptions and delivery of health behaviour change recommendations: Mapping the COM-B model

BACKGROUND

Pharmacists are trusted and accessible healthcare professionals who are well-positioned to deliver brief health behaviour change technique-based interventions for chronic health conditions. However, little is known about the factors influencing pharmacists' use of behaviour change techniques and their capacity to deliver these interventions within community pharmacy.

OBJECTIVES

This study employed the COM-B model to explore the factors that explain pharmacists' delivery of behaviour change techniques in practice. A secondary objective was to ascertain whether capability, opportunity, and motivation are associated with and explain significant variance in the use of behaviour change techniques during patient interactions.

METHODS

Two-hundred and eleven Australian pharmacists (mean age = 36.1, SD = 10.7) completed a survey on their capability, opportunity, and motivation to deliver behaviour change techniques, and their delivery and frequency of use in practice.

RESULTS

Most pharmacists (91.3%) use behaviour change techniques during patient interactions. Results from a simple linear regression showed that a composite COM score was associated with pharmacists' behaviour change technique use F(1,195) = 47.12, β = 0.44, 95 % CI [0.09, 0.16], p < .001, and their frequency of use (F(1,198) = 44.19, β = 0.43, 95 % CI [0.02, 0.06], p < .001). While capability, opportunity, and motivation were individually associated with the range and frequency of behaviour change technique used, motivation was the only significant variable in the composite model for range (β = 0.35, 95 % CI [0.11, 0.41], p < .001) and frequency of behaviour change technique use (β = 0.22, 95 % CI [0.01, 0.09], p < .05).

CONCLUSIONS

Pharmacist motivation was the most important construct explaining behaviour change technique use. Interventions should seek to foster pharmacist motivation and may benefit from adopting COM-B as a behaviour change framework, to understand the factors influencing the delivery of behaviour change interventions.

Predicting Quality of Life in Women with Breast Cancer Who Engage in Physical Exercise: The Role of Psychological Variables

In this study, we aimed to conduct a descriptive analysis of the primary physiological and psychological factors influencing the quality of life in women with breast cancer who engage in physical exercise. The study examined the key psychological variables predicting patients' quality of life, perceived support from family and friends, and the perception of physical condition. The sample consisted of 46 women from Cáceres (Spain) aged between 30 and 75 years undergoing breast cancer treatment. The Functional Evaluation Scale in Cancer Therapy (FACT-B+4) was used to measure quality of life; the Basic Psychological Needs Satisfaction Scale was used to measure autonomy, competence, and social relationships; the Behavior Regulation Questionnaire in Exercise (BREQ-3) was used to measure the types of self-determined motivation for sports participation; the General Evaluation of Self-Esteem Scale was used to measure self-esteem; the International Fitness Scale (IFIS) was used to measure perceived physical condition; and the Perceived Autonomy Support Scale for Exercise Settings (PASSES) was used to measure the perceived autonomy support from family and friends. A multiple regression analysis revealed that perceived physical condition and self-esteem were significant positive predictors of a variance in quality of life, while intrinsic motivation did not significantly predict it. The findings underscore the importance of promoting autonomous motivation in patients to enhance their physical and psychological well-being through physical activity.

Synergizing Intelligence and Building a Smarter Future: Artificial Intelligence Meets Bioengineering

Smart Engineering (SE) describes the methods, processes, and IT tools for the interdisciplinary, system-oriented development of innovative, intelligent, networked products, production plants, and infrastructures [...].