Background Physical activity (PA) interventions can increase PA and improve well-being among adults affected by cancer; however, most adults do not meet cancer-specific PA recommendations. Lack of time, facility access, and travel distances are barriers to participation in PA interventions. eHealth technologies may address some of these barriers, serving as a viable way to promote PA behavior change in this population. However, no review from July 2018 has synthesized available evidence across eHealth and cancer types or examined the use of behavioral theory and behavior change techniques (BCTs), leaving important gaps in knowledge. Objective This review aims to provide a comprehensive, updated overview of evidence on eHealth PA interventions for adults with cancer by describing the current state of the literature, exploring associations between intervention characteristics and effectiveness, and identifying future research needs. Methods MEDLINE, Embase, CINAHL, SportDiscus, Scopus, and CENTRAL were searched for eHealth PA interventions for adults affected by cancer. Study selection and data extraction were performed in duplicate, with consultation from the senior author (NCR). BCT coding, risk of bias, and completeness of reporting were performed using standardized tools. Results were summarized via narrative synthesis and harvest plots. Weight analyses were conducted to explore the associations between intervention characteristics and effectiveness. Results A total of 71 articles (67 studies) involving 6655 participants (mean age 56.7 years, SD 8.2) were included. Nearly 50% (32/67) of the articles were published after July 2018. Significant postintervention PA increases were noted in 52% (35/67) of the studies, and PA maintenance was noted in 41% (5/12) of the studies that included a follow-up. Study duration, primary objectives, and eHealth modality (eg, websites, activity trackers, and SMS text messaging) varied widely. Social cognitive theory (23/67, 34%) was the most used theory. The mean number of BCTs used across the studies was 13.5 (SD 5.5), with self-monitoring, credible sources, and goal setting being used in >90% of studies. Weight analyses showed the greatest associations between increased PA levels and PA as a primary outcome (0.621), interventions using websites (0.656) or mobile apps (0.563), interventions integrating multiple behavioral theories (0.750), and interventions using BCTs of problem solving (0.657) and action planning (0.645). All studies had concerns with high risk of bias, mostly because of the risk of confounding, measurement bias, and incomplete reporting. Conclusions A range of eHealth PA interventions may increase PA levels among adults affected by cancer, and specific components (eg, websites, use of theory, and action planning) may be linked to greater effectiveness. However, more work is needed to ascertain and optimize effectiveness, measure long-term effects, and address concerns with bias and incomplete reporting. This evidence is required to support arguments for integrating eHealth within PA promotion in oncology.
Background Young adults affected by cancer face physical and psychological challenges and desire online supportive care. Yoga can be delivered online and may improve physical and psychological outcomes. Yet, yoga has rarely been studied with young adults affected by cancer. To address this, an 8-week yoga intervention was developed, and a pilot study was deemed necessary to explore feasibility, acceptability, implementation, and potential benefits. Methods A mixed-methods, single-arm hybrid effectiveness-implementation pilot study evaluating the yoga intervention was conducted. Feasibility was assessed by tracking enrollment, retention, attendance, completeness of data, and adverse events. Acceptability was explored through interviews. Implementation metrics included training time, delivery resources, and fidelity. Potential effectiveness was evaluated by exploring changes in physical (i.e., balance, flexibility, range of motion, functional mobility) and psychological (i.e., quality of life, fatigue, resilience, posttraumatic growth, body image, mindfulness, perceived stress) outcomes at pre- (week 0), post- (week 8), and follow-up (week 16) time points. Data were analyzed with descriptive statistics, repeated measures analysis of variance, and content analysis. Results Thirty young adults participated in this study (recruitment rate = 33%). Retention to study procedures was 70%, and attendance ranged from 38 to 100%. There were little missing data (< 5%) and no adverse events. Though most participants were satisfied with the yoga intervention, recommendations for improvement were shared. Sixty study-specific training hours and > 240 delivery and assessment hours were accrued and fidelity was high. Functional mobility, flexibility, quality of life (energy/fatigue, social well-being), body image (appearance evaluation), mindfulness (non-reactivity), and perceived stress improved significantly over time (all p< 0.050; $$\eta_{p}{}^{2}s=0.124-0.292$$ η p 2 s = 0.124 - 0.292 ). No other significant changes were observed (all p> 0.050; $$\eta_{p}{}^{2}s=0.005-0.115$$ η p 2 s = 0.005 - 0.115 ). Conclusions The yoga intervention may confer physical and psychological benefits, though intervention and study-specific modifications are required to improve feasibility and acceptability. Requiring study participation and providing greater scheduling flexibility could enhance recruitment and retention. Increasing the frequency of classes offered each week and offering more opportunities for participant interaction could improve satisfaction. This study highlights the value of doing pilot work and provides data that has directly informed intervention and study modifications. Findings could also be used by others offering yoga or supportive care by videoconference to young adults affected by cancer. Trial registration Not available—not registered
PurposeThe primary objective was to investigate the feasibility of a synchronous, online delivered, group-based, supervised, exercise oncology maintenance program supported with health coaching.MethodsAll participants had previously completed a 12-week group-based exercise study. In the current study, participants were randomized to a 12-week exercise oncology maintenance class with or without health coaching. The primary outcome was feasibility, assessed as intervention attendance, safety and fidelity, study recruitment, attrition and outcome assessment completion. Additionally, semi-structured interviews at the end of the intervention provided participants’ perspectives on intervention feasibility.ResultsForty participants (n8WK=25; n12WK=15) enrolled in the study. Feasibility was confirmed for recruitment rate (42.6%), attrition rate (2.5%), safety (no adverse events), health coaching attendance (97%), health coaching fidelity (96.7%), class attendance (91.2%), class fidelity (92.6%), and assessment completion (questionnaire=98.8%; physical functioning=97.5%). Based on the qualitative feedback, feasibility was facilitated by the convenience, while the diminished ability to connect with other participants online was a drawback compared to in-person delivery.ConclusionThe synchronous online delivery of an exercise oncology maintenance class, the additional health coaching support, and the tools used to measure the intervention effectiveness were feasible for individuals living with and beyond cancer.
Purpose The primary objective was to investigate the feasibility of a synchronous, online-delivered, group-based, supervised, exercise oncology maintenance program supported with health coaching. Methods Participants had previously completed a 12-week group-based exercise program. All participants received synchronous online delivered exercise maintenance classes, and half were block randomized to receive additional weekly health coaching calls. A class attendance rate of ≥ 70%, a health coaching completion rate of ≥ 80%, and an assessment completion rate of ≥ 70% were set as markers of feasibility. Additionally, recruitment rate, safety, and fidelity of the classes and health coaching calls were reported. Post-intervention interviews were performed to further understand the quantitative feasibility data. Two waves were conducted — as a result of initial COVID-19 delays, the first wave was 8 weeks long, and the second wave was 12 weeks long, as intended. Results Forty participants (n8WK = 25; n12WK = 15) enrolled in the study with 19 randomized to the health coaching group and 21 to the exercise only group. The recruitment rate (42.6%), attrition (2.5%), safety (no adverse events), and feasibility were confirmed for health coaching attendance (97%), health coaching fidelity (96.7%), class attendance (91.2%), class fidelity (92.6%), and assessment completion (questionnaire = 98.8%; physical functioning = 97.5%; Garmin wear-time = 83.4%). Interviews highlighted that convenience contributed to participant attendance, while the diminished ability to connect with other participants was voiced as a drawback compared to in-person delivery. Conclusion The synchronous online delivery and assessment of an exercise oncology maintenance class with health coaching support was feasible for individuals living with and beyond cancer. Providing feasible, safe, and effective exercise online to individuals living with cancer may support increased accessibility. For example, online may provide an accessible alternative for those living in rural/remote locations as well as for those who may be immunocompromised and cannot attend in-person classes. Health coaching may additionally support individuals’ behavior change to a healthier lifestyle. Trial registration The trial was retrospectively registered (NCT04751305) due to the rapidly evolving COVID-19 situation that precipitated the rapid switch to online programming.
INTRODUCTION:Adolescent and young adult (AYA) cancer survivors have unique physical and psychological challenges that can affect exercise and physical activity (PA) participation. While many factors play a role in regular exercise for cancer survivors, PA compliance may be improved with one-on-one exercise training and utilizing a fitness tracker (Fitbit Charge 3). The purpose of this study was to explore the feasibility and compliancy of utilizing a fitness tracker during an exercise intervention in AYA cancer survivors. METHODS: Twelve cancer survivors were enrolled in a 24-week study. During the first 12-weeks, participants attended three, one-hour sessions per week that included strength, cardiovascular, and flexibility training led by a Cancer Exercise Trainer (CET). Exercise during and PA away from the training sessions were tracked during the 24-weeks by daily steps determined by the fitness tracker. Fitness tracker compliance was determined by the number of days the tracker was worn during the total number of days. Exercise adherence was determined by the percentage of the 36 sessions that were completed. Paired t-tests were used to compare baseline and follow-up assessments using IBM ® SPSS ® Statistics Version 24.0. RESULTS: Participants (mean age 27.3+6.9 y) were compliant donning the fitness tracker during the 12-week intervention period (mean wear time=97.3%; range=83.3-100%). Participants were less compliant in the observation period (mean=70%; range=0-100%), with three scoring below 25% compliancy. The mean daily steps for the intervention phase were 9805 +5149. The mean daily steps for the observation phase were 6558 +5520 (p=0.008). DISCUSSION: The fitness tracker was feasible for use in AYA cancer survivors, as denoted by daily use. The participants had good to excellent compliance using the PA tracker considering the population group examined are less likely to be active when compared to younger individuals and those never diagnosed with cancer. IMPLICATIONS FOR CANCER SURVIVORS: Study outcomes are being implemented in an exercise intervention focused on AYA survivors of cancer, a traditionally understudied group.
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