A Home-Based Mobile Health Intervention to Replace Sedentary Time With Light Physical Activity in Older Cancer Survivors: Randomized Controlled Pilot Trial

A Systematic Review of the Effects of Breaking up/Interrupting Sedentary Behavior on Health Outcomes Among Community-Dwelling Adults 60+ Years

BACKGROUND/OBJECTIVES

 The aim of this systematic review was to evaluate the available evidence regarding the impact of breaks in sedentary time on cardiovascular, metabolic, functional, and psychosocial health of adults aged 60 years and older.

METHODS

 A systematic search of databases was performed in May 2024. This review was registered with PROSPERO (#374311) and has been reported using the Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) guidelines.

RESULTS

 A total of seven articles (five unique studies) were included. The available evidence suggests minimal changes in health-related variables. Specifically, changes to cardio-metabolic and psychosocial variables were limited. Changes to physical function appear to show the most promise. While only one of the studies included focused solely on reducing sedentary behavior, all others focused on reducing sedentary behavior by increasing physical activity. Two of the seven articles showed significant changes compared with the control group to sedentary time ranging from 32 to 58 min. Mean sedentary bout time and number of sedentary bouts longer than 30 min were reduced in two of the seven articles. No changes in sit-to-stand transitions were reported.

CONCLUSION

 There is limited evidence focusing on the impact of breaks or interruptions to sedentary time on the physical and mental health of community-dwelling adults 60+ years. Significance/Implications: This systematic review examines recent research aimed to disrupt sedentary behavior and positively impact health in community-dwelling older adults. Results show the difficulty of increasing sit-to-stand transitions/breaks in sedentary behavior, and highlight the challenge of disentangling the effects of sedentary behavior, and physical activity on health.

A meta-analysis of healthy lifestyle interventions addressing quality of life of cancer survivors in the post treatment phase

PURPOSE

This study's primary aim was to investigate whether including a mental health component to healthy lifestyle interventions are associated with greater effects on quality of life (QoL) for post-treatment cancer survivors than addressing physical activity and/or nutrition alone.

METHODS

PsycINFO, Scopus, Medline, CINAHL, and Google Scholar were searched to identify randomised control trials of healthy lifestyle interventions for post-treatment cancer survivors, with a usual care or waitlist control, and measured QoL. Meta-analyses quantified the effects of interventions vs controls at post-treatment on total QoL, physical, emotional, and social well-being. Subgroup analyses compared interventions with vs without a mental health component, modes of delivery, and duration. The quality of the included studies was assessed using the Cochrane Risk of Bias 2.

RESULTS

Eighty-eight papers evaluating 110 interventions were included: 66 effect sizes were extracted for meta-analysis, and 22 papers were narratively synthesised. The pooled effect size demonstrated a small, significant effect of healthy lifestyle interventions in comparison to control for all QoL outcomes (total g = 0.32, p >.001; physical g = 0.19, p = 0.05; emotional g = 0.20, p >.001; social g = 0.18, p = 0.01). There was no significant difference between interventions with vs without a mental health component. Face-to-face delivered interventions were associated with greater total QoL and physical well-being compared to other modalities. Interventions delivered ≤12 weeks were associated with greater physical well-being than those delivered ≥13 weeks. Overall, studies had substantial levels of heterogeneity and 55.9% demonstrated high risk of bias.

CONCLUSIONS

Participating in a healthy lifestyle intervention following cancer treatment improves QoL. Few trials addressed mental health or evaluated online or telephone modalities; future research should develop and evaluate interventions that utilise these features.

IMPLICATIONS FOR CANCER SURVIVORS

Brief healthy lifestyle interventions can be recommended for cancer survivors, particularly those interested in improving physical well-being.

Effectiveness of Mobile Health Interventions for Reducing Sitting Time in Older Adults: Systematic Review and Meta-Analysis

BACKGROUND

Mobile health (mHealth) provides health information through electronic devices, even at home. The escalating prevalence of sedentary behaviors among older adults, which leads to increased adverse health outcomes, underscores the pressing need for a comprehensive understanding of the effectiveness of mHealth interventions.

OBJECTIVE

This study aims to examine the effectiveness of mHealth interventions in the sitting time of older adults (age 55 years).

METHODS

A systematic review and meta-analysis of randomized controlled trials was conducted to evaluate the effects of mHealth interventions on total sitting time during waking hours, excluding sleep. A literature search was conducted using multiple databases, including PubMed, Embase, Web of Science, and Cochrane, covering articles published from the inception of each database through October 2023. The PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines were explicitly applied to structure this report. Methodological quality was assessed using the Cochrane Risk of Bias (ROB 2) tool for randomized controlled trials and the Methodological Index for Non-Randomized Studies (MINORS) tool for nonrandomized studies. Two independent reviewers screened the studies, extracted data, and assessed methodological quality using established criteria. Meta-analyses were performed using Review Manager (version 5.4; Cochrane Collaboration).

RESULTS

Ten studies were identified, of which 3 were included in the meta-analysis, while the remaining 7 were assessed exclusively in the systematic review. The interventions predominantly took place in community settings (n=3) and home-based settings (n=3). Three studies aimed to decrease sedentary behavior and 7 aimed to increase physical activity. The interventions were primarily conducted once daily (n=7) via mobile devices such as smartphones (n=7) and typically involved a single intervention delivered at different time intervals, such as every 15, 20, or 30 minutes (n=4). The interventions typically lasted 12 weeks (n=4) and used objective assessment tools, such as the ActiGraph GT3X+ (n=8). The included studies applied the habit formation theory (n=1), the self-efficacy theory (n=1), the social cognitive theory (n=1), and the social-ecological theory (n=1) as frameworks. Additionally, behavior change techniques, including "goal setting," "problem-solving," "action planning," and "review behavior goal(s)" (n=6), were used. Meta-analysis of the 3 studies included showed a significant decrease in sedentary behavior with mHealth interventions compared with conventional or no interventions (weighted mean difference [WMD]=59.1 min/d, 95% CI 99.1 to 20.2; P=.003).

CONCLUSIONS

mHealth interventions effectively reduce sitting time in older adults. Strategies using interventions with specific frequencies and durations, dedicated mobile monitoring devices, and behavior change techniques showed the potential to reduce sedentary behavior among older adults. These results also underscore the potential of mHealth as a key tool for promoting the well-being of older adults through technology-driven public health efforts.

TRIAL REGISTRATION

PROSPERO CRD42023443926; https://www.crd.york.ac.uk/PROSPERO/view/CRD42023443926.

Systematic review exploring human, AI, and hybrid health coaching in digital health interventions: trends, engagement, and lifestyle outcomes

Introduction

Digital Health Interventions (DHIs) have been identified as a solution to the United Nations Sustainable Development Goals (SDG3) for health promotion and prevention. However, DHIs face criticism for shallow and transactional engagement and retention challenges. Integrating DHIs with health coaching represents a promising solution that might address these issues by combining the scalable and accessible nature of DHIs with the meaningful and engaging nature of health coaching. This systematic review aims to synthesise existing peer-reviewed research on coach-facilitated DHIs to understand how digital health coaching is being used in DHIs and the impact it has on engagement and lifestyle outcomes.

Methods

Studies examining DHIs with a coaching component addressing lifestyle outcomes were included. A search of APA PsychINFO, Medline, Web of Science, and Scopus was performed from inception to February 2025. Three authors conducted the study selection, quality appraisal using the Mixed Methods Appraisal Tool (MMAT), and data extraction. Data extraction captured study characteristics, coaching features, participant engagement, and lifestyle outcomes.

Results

Thirty-five studies were identified and synthesised using a narrative synthesis approach. This review highlights three coaching modalities in DHIs: digital human coaching, Artificial Intelligence (AI) coaching, and hybrid (human-AI) coaching. All coaching modalities demonstrated feasibility and acceptability.

Discussion

While both human and AI coaching have shown a positive impact on both engagement and lifestyle outcomes, hybrid approaches need further refinement to harness AI's scalability and the depth of human coaching. However, the variability of engagement metrics and coaching protocols limited study comparability. Standardising how engagement and coaching delivery are measured and contextualised is crucial for advancing evidence-based digital health coaching. This review followed PRISMA guidelines and was registered in PROSPERO (Registration number: CRD42022363279). The Irish Research Council supported this work.

Systematic Review Registration

https://www.crd.york.ac.uk/PROSPERO/view/CRD42022363279, identifier: CRD42022363279.

Application of Patient-Generated Health Data Among Older Adults With Cancer: Scoping Review

BACKGROUND

The advancement of information and communication technologies has spurred a growing interest in and increased applications of patient-generated health data (PGHD). In particular, PGHD may be promising for older adults with cancer who have increased survival rates and experience a variety of symptoms.

OBJECTIVE

This scoping review aimed to identify the characteristics of research on PGHD as applied to older adults with cancer and to assess the current use of PGHD.

METHODS

Guided by Arksey and O'Malley as well as the JBI (Joanna Briggs Institute) methodology for scoping reviews, 6 electronic databases were searched: PubMed, Embase, CINAHL, Cochrane Library, Scopus, and Web of Science. In addition, the reference lists of the selected studies were screened to identify gray literature. The researchers independently screened the literature according to the predefined eligibility criteria. Data from the selected studies were extracted, capturing study, participant, and PGHD characteristics.

RESULTS

Of the 1090 identified studies, 88 were selected. The publication trend gradually increased, with a majority of studies published since 2017 (69/88, 78%). Almost half of the studies were conducted in North America (38/88, 43%), followed by Europe (30/88, 34%). The most common setting in which the studies were conducted was the participant's home (69/88, 78%). The treatment status varied; the median sample size was 50 (IQR 33.8-84.0). The devices that were used to measure the PGHD were classified as research-grade wearable devices (57/113, 50.4%), consumer-grade wearable devices (28/113, 24.8%), or smartphones or tablet PCs for mobile apps (23/113, 20.4%). More than half of the studies measured physical activity (69/123, 56.1%), followed by patient-reported outcomes (23/123, 18.7%), vital signs (13/123, 10.6%), and sleep (12/123, 9.8%). The PGHD were mainly collected passively (63/88, 72%), and active collection methods were used from 2015 onward (20/88, 23%). In this review, the stages of PGHD use were classified as follows: (1) identification, monitoring, review, and analysis (88/88, 100%); (2) feedback and reporting (32/88, 39%); (3) motivation (30/88, 34%); and (4) education and coaching (19/88, 22%).

CONCLUSIONS

This scoping review provides a comprehensive summary of the overall characteristics and use stages of PGHD in older adults with various types and stages of cancer. Future research should emphasize the use of PGHD, which interacts with patients to provide patient-centered care through patient engagement. By enhancing symptom monitoring, enabling timely interventions, and promoting patient involvement, PGHD have the potential to improve the well-being of older adults with cancer, contributing to better health management and quality of life. Therefore, our findings may provide valuable insights into PGHD that health care providers and researchers can use for geriatric cancer care.

TRIAL REGISTRATION

Open Science Framework Registry OSF.IO/FZRD5; https://doi.org/10.17605/OSF.IO/FZRD5.

Using the Staircase Approach to increase movement: a systematic search and review to inform a novel sedentary behaviour intervention for older adults

INTRODUCTION

Traditional approaches to supporting older adults in adopting and maintaining an active lifestyle have largely failed. The previously proposed "Staircase Approach" offers a new foundation for developing interventions and public health strategies; this approach includes Step 1 (changing sedentary behaviour) and Steps 2 to 4 (incorporating more physical activity of increasing levels of intensity). In this systematic search and review, we aimed to inform the co-creation of a novel Staircase Approach intervention for community-dwelling, inactive older adults, primarily focussed on Step 1.

METHODS

A systematic search was performed across six databases (MEDLINE, PsycInfo, CINAHL, Cochrane CENTRAL, SPORTDiscus and Scopus).

RESULTS

After duplicates were removed, 3427 titles and abstracts were screened. Fourteen articles (including 17 intervention groups) were included after full-text review. Five were randomized controlled trials, three compared two interventions and six were single-arm studies. Sample sizes ranged from 9 to 176 participants, and included 617 older adults at baseline. Mean age of samples ranged from 64.3 (standard deviation [SD] 3.8) to 85.1 (SD 6.2) years, while the intervention length ranged from less than one day to 6 months. Sedentary time interventions are well accepted; most studies had completion rates above 80%. Based on findings from within-group comparisons, half of the studies showed a reduction in sedentary time (6/12 groups) and half showed an increase in physical activity (6/12 groups). Based on findings from between-group comparisons, 2 out of 5 intervention groups showed improvements in sitting time and physical activity outcomes compared to controls. Satisfaction and adherence to interventions were generally high.

CONCLUSION

Sedentary time interventions for older adults show promise and point to several components that may be included in an intervention focussed on Step 1 of the Staircase Approach.

The Effect of Combining mHealth and Health Professional-Led Intervention for Improving Health-Related Outcomes in Chronic Diseases: Systematic Review and Meta-Analysis

BACKGROUND

Chronic diseases such as diabetes and cardiovascular disease are global health challenges, affecting millions of people worldwide. Traditional health care often falls short in chronic disease management. This has led to the exploration of innovative solutions, such as mobile health (mHealth) technologies. mHealth, which leverages mobile and wireless technologies, has the potential to transform health care delivery by providing continuous, accessible, and personalized care. However, the effectiveness of mHealth, particularly when integrated with traditional health care interventions delivered by professionals, warrants comprehensive investigation. Understanding the combined impact of mHealth and professional-led interventions is critical to maximizing the potential of mHealth to improve patient outcomes and adherence.

OBJECTIVE

This study aims to investigate the effectiveness of combining mHealth and health professional-led intervention for improving health-related outcomes in chronic diseases.

METHODS

This systematic review and meta-analysis focused on randomized controlled trials. We searched Web of Science, CENTRAL, MEDLINE, and CINAHL through July 17, 2023. The study targeted patients aged 18 years and older, experiencing at least 1 chronic condition. The interventions were a combination of mHealth and the use of a health care professional. The comparison groups consisted of participants receiving either general care and follow-up or those using mHealth devices without any health care professional involvement. The outcomes measured in this review included hemoglobin A1c (HbA1c), quality of life (QoL), and physical activity.

RESULTS

The study included 26 research papers, encompassing 7360 individuals. Meta-analysis was conducted for HbA1c, QoL, and physical activity. For HbA1c, short-term improvement was significant (standardized mean difference [SMD] -0.43; 95% CI -0.64 to -0.21; I2=69%) and medium term (SMD -0.49; 95% CI -0.49 to -0.09; I2=21%). However, in the long term, the improvement was not significant (SMD -0.23; 95% CI -0.49 to 0.03; I2=88%). For QoL, significant improvements were observed in the short term (SMD -0.23; 95% CI -0.42 to -0.05; I2=62%), and in the medium term (SMD -0.16; 95% CI -0.24 to -0.07; I2=0%). In the long term, however, the improvement was not significant (SMD -0.12; 95% CI -0.41 to 0.16; I2=71%). For physical activity, both subjective (questionnaire) and objective (number of steps) outcomes were analyzed. In the short term, subjective outcomes showed significant improvement (SMD 0.31; 95% CI 0.12-0.50; I2=0%), while objective outcomes did not (SMD 0.11; 95% CI -0.05 to 0.27; I2=0%). Medium- and long-term subjective outcomes showed no significant improvement. Meta-analysis for objective outcomes in the medium and long term was not possible due to insufficient studies.

CONCLUSIONS

This study confirmed short- and medium-term benefits of mHealth combined with professional interventions for HbA1c, QoL, and short-term physical activity, supporting effective chronic disease management.

A Remotely Delivered Light-Intensity Physical Activity Intervention for Older Cancer Survivors: Protocol for a Feasibility Randomized Controlled Trial

BACKGROUND

Older cancer survivors face age- and treatment-related comorbidities, including physical functional impairment, which are exacerbated by physical inactivity and sedentary behavior. Regular physical activity can reduce this risk, yet less than 30% of older cancer survivors meet the recommended guidelines for physical activity.

OBJECTIVE

This study aims to describe the design, methods, and rationale for a remotely delivered intervention that uses a whole-of-day approach to physical activity in older cancer survivors. This approach focuses on the accumulation of intermittent bouts of light-intensity activity throughout the entire day by disrupting and reducing sedentary activity. The intervention was guided by social cognitive and self-determination theories and incorporated motivational interviewing.

METHODS

The 12-week Move for Your Health trial randomly assigned 64 older cancer survivors to a theory-based physical activity intervention or a waitlist control. A Fitbit (Google) activity tracker and smartphone app were used to promote awareness of activity levels and enable self-monitoring of both activity and inactivity in tandem with health coaching phone calls. Motivational interviewing was used to engage participants and tailor strategies to achieve goals during the 12-week intervention. Data were collected at baseline, immediately after the intervention, and at longer-term follow-up (3 months thereafter). Feasibility outcomes included recruitment, retention, adherence, adverse events, and acceptability. Other outcomes included obtaining the parameter estimates for changes in physical function, physical performance, physical activity, sedentary behavior, and quality of life.

RESULTS

Recruitment for the Move for Your Health randomized controlled trial was completed in June 2023. Data collection was completed in March 2024. Data analyses are ongoing.

CONCLUSIONS

The results of this trial will provide information on the feasibility of implementing this intervention in the target patient population, as well as data that will provide information about the potential impact of the intervention on the outcomes. Both of these outcomes will inform the design of a larger randomized controlled trial to more fully test a physical activity intervention in an older cancer survivor population.

TRIAL REGISTRATION

ClinicalTrials.gov NCT05582889; https://clinicaltrials.gov/study/NCT05582889.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

DERR1-10.2196/59504.

The use of wearable technology in studies in older adults with cancer: a systematic review

BACKGROUND

Despite the increasing integration of wearable technology in oncology, its application in the care of older adults, representing most patients with cancer, is poorly defined.

OBJECTIVE

This systematic review aimed to summarize the current use of wearables in studies in older adults with cancer.

METHODS

This systematic review was conducted following the PRISMA guidelines. A systematic search was conducted in PubMed, Embase, Emcare, Web of Science, and Cochrane Library on May 1, 2024. Studies involving wearable devices and patients aged ≥60 years diagnosed with cancer were included. Outcomes reported were study characteristics, wearable outcomes, feasibility and adherence. The mixed method appraisal tool was used to assess the quality of included studies.

RESULTS

A total of 31 publications were included, comprising 1298 older patients. Of these, 12 were pilot/feasibility studies, 12 were observational studies, 6 were randomized controlled trials, and 1 was a cross-sectional study. Most studies used wearable data to measure recovery (19 studies, 61%). Physical activity was the most studied wearable outcome (27 studies, 87%). Adherence to the wearable device was documented in 11 of the 31 studies (35%), with adherence ranging from 74% to 100%.

CONCLUSIONS

Our systematic review found wearables were mostly used to measure physical activity, with the most common primary aim of measuring recovery. Most studies reported high adherence, although definitions of adherence were diverse. Our results highlight the need for more and larger studies on wearable technology in older cancer patients, the use of standardized reporting frameworks, and increased participation in research in low- and middle-income countries.

Applications of wearable activity monitors for prostate cancer survivors: A systematic scoping review

BACKGROUND

Wearable technology is used to monitor and motivate physical activity (PA) and provides continuous, objective PA and sleep data outside the clinical setting. We reviewed the literature to understand how wearables are integrated into prostate cancer (PC) investigations in order to identify current practices, gaps, and research opportunities.

METHODS

We conducted a literature search for articles using wearables, among PC survivors published between 2012 and 2022. We extracted study details, interventions and outcomes, participant baseline characteristics, and device characteristics and grouped them by study type: randomized control trials (RCTs) and non-randomized studies.

RESULTS

Of 354 articles screened, 44 met eligibility criteria (23 RCTs, and 21 non-randomized). 89% used wearables to monitor PA metrics, 11%, sleep metrics, and 6.8%, both. Most studies involved exercise (70% RCTs, 9% non-randomized studies) or lifestyle interventions (30% RCTs, 9% non-randomized studies). Intervention delivery methods included personalized computer-based (48%), in-person (e.g., trainer) (20%), and education web or print-based (20%). Interventions occurred at the participant's home (48%) or at a gym (20%). 57% of the studies evaluated the feasibility and acceptability of the wearable as an activity-measuring device or as part of a remotely delivered computer-based intervention. Studies used wearables to monitor adherence to PA interventions, motivate behavior change, to assess patient outcomes (e.g., patient function, quality of life, mood), or as data collection tools.

CONCLUSIONS

Wearables are primarily being used to assess daily activity and monitor adherence to exercise interventions in clinical studies involving PC survivors. Findings suggest that they are feasible for use in this population. More research is needed to understand how to integrate wearables into routine clinical care, expand their use to predict clinical outcomes, or to deliver tailored interventions for PC survivors.

The Effect of Self-efficacy-Enhancing Interventions on Quality of Life of Cancer Survivors: A Systematic Review

BACKGROUND

The influence of self-efficacy-enhancing interventions on quality of life (QOL) is not clear with recent randomized controlled trials (RCTs) because current reviews only evaluated self-efficacy as an outcome.

OBJECTIVES

We conducted a systematic review to examine the effect of self-efficacy-enhancing interventions on QOL among patients with cancer and to summarize the effective determinants for designing self-efficacy-enhancing interventions.

METHODS

A systematic search was performed on studies published from January 2003 to May 2023 using PubMed, CINAHL, PsycINFO, and Web of Science. Included studies were RCTs, adults diagnosed with cancer, interventions with explicit self-efficacy components, and QOL as the outcome.

RESULTS

Nineteen RCTs were included. Risk-of-bias assessment revealed 12 studies with some concerns and 7 with high risk of bias. The mean intervention adherence rate was 88.2%; the most frequently listed reason for dropout was medical conditions and mortality. Self-efficacy interventions were shown to significantly improve at least 1 subscale of QOL in 9 of 19 studies, of which 7 studies used Bandura's 4 sources of self-efficacy. The interventions with between-session intervals shorter than 2 weeks, of 12-week duration, and with an in-person delivery approach were the most effective.

CONCLUSIONS

Self-efficacy-enhancing interventions show potential beneficial effects on QOL among cancer survivors. Interventions that use Bandura's 4 sources of self-efficacy strategies and have between-session intervals shorter than 2 weeks, an in-person approach, and 12-week intervention duration are recommended.

IMPLICATIONS FOR PRACTICE

Properly designed self-efficacy-enhancing interventions can facilitate behavioral change and improve QOL in cancer survivors.

Digital Peer-Supported App Intervention to Promote Physical Activity Among Community-Dwelling Older Adults: Nonrandomized Controlled Trial

BACKGROUND

The use of mobile apps has promoted physical activity levels. Recently, with an increasing number of older adults accessing the internet, app-based interventions may be feasible in older populations. Peer support-based interventions have become a common method for promoting health-related behavior change. To our knowledge, the feasibility of using digital peer support apps (DPSAs) to increase physical activity among older adults and its impact on physical activity and physical function have not been investigated.

OBJECTIVE

This study aims to assess the feasibility of using DPSAs in older adults and to assess changes in physical activity and physical function in DPSA users.

METHODS

We conducted a nonrandomized controlled trial of older adults aged ≥65 years. We recruited participants for 2 distinct 12-week programs designed to increase physical activity. Participants could choose between an intervention group (app program and exercise instruction) or a control group (exercise instruction only). DPSA creates a group chat for up to 5 people with a common goal, and participants anonymously post to each other in the group. Once a day, participants posted a set of their step counts, photos, and comments on a group chat box. The intervention group used the DPSA after receiving 2 face-to-face lectures on its use. The participants were characterized using questionnaires, accelerometers, and physical function assessments. The feasibility of the DPSA was assessed using retention and adherence rates. Physical activity was assessed using accelerometers to measure the daily step count, light intensity physical activity, moderate to vigorous intensity physical activity (MVPA), and sedentary behavior. Physical function was assessed using grip strength and the 30-second chair-stand test.

RESULTS

The participants in the intervention group were more frequent users of apps, were more familiar with information and communication technology, and had a higher baseline physical activity level. The retention and adherence rates for the DPSA intervention were 88% (36/41) and 87.7%, respectively, indicating good feasibility. Participants in the intervention group increased their step count by at least 1000 steps and their MVPA by at least 10 minutes using the DPSA. There was a significant difference in the interaction between groups and intervention time points in the daily step count and MVPA (step count, P=.04; duration of MVPA, P=.02). The DPSA increased physical activity, especially in older adults with low baseline physical activity levels.

CONCLUSIONS

The feasibility of DPSA was found to be good, with the intervention group showing increases in daily steps and MVPA. The effects of DPSA on step count, physical activity, and physical function in older adults with low baseline physical activity should be investigated using randomized controlled trials.

E-PROOF: E-intervention for protein intake and resistance training to optimize function: A study protocol

BACKGROUND

Accounting for more than 60% of cancer survivors, older (≥65 years) cancer survivors have a 2- to 5-fold risk of physical function impairment, compared to cancer-free peers. One strategy to improve physical function is dietary and resistance training interventions, which improve muscle strength and mass by stimulating muscle protein synthesis. The E-PROOF (E-intervention for Protein Intake and Resistance Training to Optimize Function) study will examine the feasibility, acceptability, and preliminary efficacy of a 12-week randomized controlled trial of an online, tailored nutritional and resistance training education and counseling intervention to improve physical function and associated health outcomes (muscle strength, health-related quality of life (HRQoL), self-efficacy, and weight management).

METHODS

In this study, 70 older cancer survivors will be randomized to one of two groups: experimental (receiving remote behavioral counseling and evidence-based education and resources), and control (general survivorship education). We will examine the intervention effects on physical function, muscle strength, HRQoL, self-efficacy, weight, and waist circumference during a 12-week period between the experimental and control groups. Three months following the end of the intervention, we will conduct a follow-up assessment to measure physical function, muscle strength, and HRQoL.

SIGNIFICANCE AND IMPACT

This study is the first synchronous, online protein-focused diet and resistance training intervention among older cancer survivors. This novel study advances science by promoting independent health behaviors among older cancer survivors to improve health outcomes, and provide foundational knowledge to further address this growing problem on a wider scale through online platforms.

Enhancing Behavioural Changes: A Narrative Review on the Effectiveness of a Multifactorial APP-Based Intervention Integrating Physical Activity

The rapid evolution of technologies is a key innovation in the organisation and management of physical activities (PA) and sports. The increase in benefits and opportunities related to the adoption of technologies for both the promotion of a healthy lifestyle and the management of chronic diseases is evident. In the field of telehealth, these devices provide personalised recommendations, workout monitoring and injury prevention. The study aimed to provide an overview of the landscape of technology application to PA organised to promote active lifestyles and improve chronic disease management. This review identified specific areas of focus for the selection of articles: the utilisation of mobile APPs and technological devices for enhancing weight loss, improving cardiovascular health, managing diabetes and cancer and preventing osteoporosis and cognitive decline. A multifactorial intervention delivered via mobile APPs, which integrates PA while managing diet or promoting social interaction, is unquestionably more effective than a singular intervention. The main finding related to promoting PA and a healthy lifestyle through app usage is associated with "behaviour change techniques". Even when individuals stop using the APP, they often maintain the structured or suggested lifestyle habits initially provided by the APP. Various concerns regarding the excessive use of APPs need to be addressed.

Reallocating Time to Physical Activity and Sleep: Associations with Body Mass Index in Cancer Survivors

BACKGROUND

Body mass index (BMI) above ≥ 25 kg/m2 is associated with increased risk for cancer-related morbidity and mortality. Achieving recommended amounts of physical activity (PA), sedentary time (ST), and sleep can help cancer survivors (CS) attain a healthy BMI. This cross-sectional study examined the potential role of reallocating time between moderate and light PA, ST, and sleep on BMI in CS.

METHOD

A sample of CS (N = 73, Mage = 53.7 ± 12.9) wore an activPAL and Actiwatch accelerometer for 7 days, 24 h per day to measure PA intensity and sleep, respectively. Self-reported height and weight or scale/stadiometer were used to calculate BMI. Isotemporal substitution models were used to reallocate time, averaged over the 7-day period, from one activity of interest to another and examine the associations with BMI. Statistical significance was set at p < .05.

RESULTS

The following reallocations of 30 min were significantly associated with BMI: sleep to ST (+ 0.80 kg/m2, p = 0.02) and ST to light PA (- 0.53 kg/m2, p = 0.008). No significant associations with BMI were observed for reallocating time to or away from moderate-vigorous PA.

CONCLUSION

The results of this study suggest that sleep and light PA may have important implications for achieving a healthy BMI in CS. Therefore, future research should include interventions which target light PA and sleep to determine if they can improve BMI in CS.

Application of wearables for remote monitoring of oncology patients: A scoping review

Objective

This review aims to systematically map and categorize the current state of wearable applications among oncology patients and to identify determinants impeding clinical implementation.

Methods

A Medline, Embase and clinicaltrials.gov search identified journal articles, conference abstracts, letters, reports, dissertations and registered studies on the use of wearables in patients with malignancies published up to 10 November 2021.

Results

Of 2509 records identified, 112 met the eligibility criteria. Of these, 9.8% (11/112) were RCTs and 47.3% (53/112) of publications were observational. Wearables were investigated pre-treatment (2.7%; 3/112), during treatment (34.8%; 39/112), post-treatment (17.9%; 20/112), in survivors (27.7%; 31/112) and in non-specified or multiple treatment phases (17.0%; 19/112). Medical-grade wearables were applied in 22.3% (25/112) of publications. Primary objectives ranged from technical feasibility (8.0%; 9/112), user feasibility (42.9%; 48/112) and correlational analysis (40.2%; 45/112) to outcome change analysis (8.9%; 10/112). Outcome change was mostly investigated regarding physical activity improvement (80.0%; 8/10). Most publications (42.9%; 48/112) and registered studies (39.3%; 24/61) featured multiple cancer types, with breast cancer as the most prevalent specific type (22.3% in publications, 16.4% in registered studies).

Conclusions

Most studies among oncology patients using wearables are focused on assessing the user feasibility of consumer-grade wearables, whereas rates of RCTs assessing clinical efficacy are low. Substantial improvements in clinically relevant endpoints by the use of wearables, such as morbidity and mortality are yet to be demonstrated.

Personalization in digital health interventions for older adults with cancer: A scoping review

INTRODUCTION

Digital health interventions (DHIs) are promising to support older adults with cancer in managing their conditions and improving their health outcomes. However, there is a lack of overall understanding of various DHIs for the aging population with cancer. Specifically, it is unclear how personalization components are included in those DHIs to promote engagement in the interventions among older adults with cancer. This study aimed to provide a comprehensive overview of existing DHIs for older adults with cancer and identify the intervention components, especially personalized features, and effectiveness of these DHIs for improving self-management and psychosocial health.

MATERIALS AND METHODS

A scoping review was conducted following Joanna Briggs Institute guidelines, focusing on older adults diagnosed with cancer who participated in DHIs to improve self-management and psychosocial health. Studies using an experimental design and published from 2000 to January 2023 were retrieved from four databases: PubMed, Embase, CINAHL, and Scopus. After primary data extraction of study characteristics, participants, interventions, and outcomes, DHIs were categorized according to personalized features.

RESULTS

Out of 9,750 articles, 20 were eligible for this scoping review. The main personalized features of DHIs were categorized into four domains: goal setting, adjusting the plan, data-driven approaches, and motivating behavioral changes. Self-management outcomes were focused on physical activity, diet, and symptom management. Quality of life, depression, and anxiety were addressed as psychosocial health-related outcomes. Although no consistent results were reported on the effectiveness, DHIs with a combination of multiple personalized features, more than three domains, were likely to be more effective in improving self-management outcomes.

DISCUSSION

This review enhances the understanding of personalized DHIs for older adults with cancer by identifying intervention components, personalized features, and effectiveness on self-management and psychosocial health. Several gaps were identified, including the absence of targeted studies exclusively focusing on older adults, a relative scarcity of personalized features for improving patient engagement, a lack of understanding of the mechanism of effective personalized features, and the necessity for more experimental studies. Addressing these gaps can contribute to improving health outcomes and the quality of care for older adults with cancer by providing the direction for developing effective DHIs.

Non-pharmaceutical interventions to optimize cancer immunotherapy

The traditional picture of cancer patients as weak individuals requiring maximum rest and protection is beginning to dissolve. Too much focus on the medical side and one's own vulnerability and mortality might be counterproductive and not doing justice to the complexity of human nature. Unlike cytotoxic and lympho-depleting treatments, immune-engaging therapies strengthen the immune system and are typically less harmful for patients. Thus, cancer patients receiving checkpoint inhibitors are not viewed as being vulnerable per se, at least not in immunological and physical terms. This perspective article advocates a holistic approach to cancer immunotherapy, with an empowered patient in the center, focusing on personal resources and receiving domain-specific support from healthcare professionals. It summarizes recent evidence on non-pharmaceutical interventions to enhance the efficacy of immune checkpoint blockade and improve quality of life. These interventions target behavioral factors such as diet, physical activity, stress management, circadian timing of checkpoint inhibitor infusion, and waiving unnecessary co-medication curtailing immunotherapy efficacy. Non-pharmaceutical interventions are universally accessible, broadly applicable, instantly actionable, scalable, and economically sustainable, creating value for all stakeholders involved. Most importantly, this holistic framework re-emphasizes the patient as a whole and harnesses the full potential of anticancer immunity and checkpoint blockade, potentially leading to survival benefits. Digital therapeutics are proposed to accompany the patients on their mission toward change in lifestyle-related behaviors for creating optimal conditions for treatment efficacy and personal growth.

Use of Telehealth Among Cancer Survivors: A Scoping Review

Background: Long-term cancer survivors have specific needs that are frequently neglected. Telehealth, as a new form of health care, can benefit this growing population. Objective: To identify, analyze, and synthesize the existing evidence on the use of telehealth in the care of cancer survivors after the end of treatment. Methods: A scoping review was conducted in the databases PubMed, CINAHL, COCHRANE, SCIELO, DIALNET, and LILACS and reference institutions in cancer. Results: The initial search yielded 406 publications with 59 articles meeting the eligibility criteria. There are different types of telehealth (video calls, phone calls, websites, mobile applications, and short message services) used for the care of cancer survivors. Most telehealth interventions focus on improving the physical and mental spheres of quality of life in the extended survival phase (from 1 to 3 years postdiagnosis), with only two articles (3%) on long-term cancer survivors (>5 years postdiagnosis). Survivors are satisfied with telehealth interventions, noting the importance of improving comprehensibility, personalization of the platforms, and the lack of excessive information included. Conclusions: Telehealth is a feasible modality for cancer survival care. The scarcity of interventions aimed at long-term survivors stands out, as does the general neglect of the social and spiritual spheres of quality of life. Implications for Practice: Telehealth platforms must adapt their content, format, and items to the preferences reported by the survivors.

Feasibility and acceptability of an mHealth, home-based exercise intervention in colorectal cancer survivors: A pilot randomized controlled trial

OBJECTIVE

To determine the feasibility and acceptability of an mHealth, home-based exercise intervention among stage II-III colorectal cancer (CRC) survivors within 5-years post-resection and adjuvant therapy.

METHODS

This pilot randomized controlled trial of a 12-week mHealth, home-based exercise intervention, randomly assigned CRC survivors to a high-intensity interval training (HIIT) or moderate-intensity continuous exercise (MICE) prescription. The following assessments were carried out at baseline and end-of-study (EOS): handgrip strength, short physical performance battery (SPPB), PROMIS physical function, neuropathy total symptom score-6 (NTSS-6), Utah early neuropathy scale (UENS), cardiopulmonary exercise testing, anthropometrics, and body composition via BOD POD, modified Godin leisure-time activity questionnaire. Feasibility, as defined by number of completed prescribed workouts and rate of adherence to individualized heart rate (HR) training zones, was evaluated at EOS. Acceptability was assessed by open-ended surveys at EOS. Descriptive statistics were generated for participant characteristics and assessment data.

RESULTS

Seven participants were included in this pilot study (MICE: n = 5, HIIT: n = 2). Median age was 39 years (1st quartile: 36, 3rd quartile: 50). BMI was 27.4 kg/m2 (1st quartile: 24.5, 3rd quartile: 29.7). Most participants had stage III CRC (71%, n = 5). We observed an 88.6% workout completion rate, 100% retention rate, no adverse events, and qualitative data indicating improved quality of life and positive feedback related to ease of use, accountability, motivation, and autonomy. Mean adherence to HR training zones was 95.7% in MICE, and 28.9% for the high-intensity intervals and 51.0% for the active recovery intervals in HIIT; qualitative results revealed that participants wanted to do more/work-out harder.

CONCLUSION

An mHealth, home-based delivered exercise intervention, including a HIIT prescription, among stage II-III CRC survivors' post-resection and adjuvant therapy was tolerable and showed trends towards acceptability.

Mobile health (mHealth) interventions in prostate cancer survivorship: a scoping review

PURPOSE

This scoping review explores the application of mHealth technology in prostate cancer (CaP) management along the survivorship continuum.

METHODS

The scoping review was conducted using the five-step framework developed by Arksey and O'Malley. Using predefined criteria, we screened citations from Embase, EBSCOHost, Cochrane Library, PubMed, ProQuest, SCOPUS, and Web of Science for primary studies published before December 2021. We selected studies that explored the application of mHealth technology in CaP management and survivorship. Evidence from 14 eligible studies was summarized using narrative synthesis.

RESULTS

Fourteen studies published between 2015 and 2021 were included. Ten mHealth apps were identified with only one still in use. Most apps were explored for their supportive care roles during radiotherapy (n = 9) and androgen deprivation therapy (ADT) (n = 1) treatment, mainly to assess outcomes (n = 1) and manage patient-reported symptoms (n = 5). One study deployed mHealth to facilitate recovery after surgery. Very few studies (n = 3) applied mHealth for lifestyle management (i.e., physical activity). Barriers to app usage included connectivity issues, end-user familiarity with the app, login hurdles, and time constraints. Facilitators of app usage included apps being downloaded for participants, devices provided for participants, and the ability to connect with providers through the platform.

CONCLUSIONS AND IMPLICATIONS FOR CANCER SURVIVORS

The improving survival rates from CaP suggest that men are now living longer with unfavorable treatment side effects such as reduced sexual functioning, pain, and fatigue. Hence, mHealth represents new hope in men's illness trajectory. However, current application in patients' care pathways remains poor, particularly in the active phase of CaP management. Efforts must be accelerated to explore individual and healthcare-level drivers of mHealth use. The feasibility and descriptive nature of current studies point to a lack of attention to actual implementation and scale-up issues in research considering mHealth application in CaP, hence accounting partly for the gap in research/practice.

Physical activity monitoring-based interventions in geriatric patients: a scoping review on intervention components and clinical applicability

OBJECTIVE

To identify and analyze the components applied in interventions using physical activity (PA) monitoring in geriatric patients and determine their feasibility and applicability.

METHODS

A systematic search in six databases (PubMed, Embase, SPORTDiscus, CINAHL, Web of Science, and GeroLit) was conducted to identify studies reporting interventions that included the application of a PA monitor in adults aged ≥ 60 years with a clinical diagnosis. PA monitor interventions were analyzed regarding their feedback, goal-setting and behavior change technique (BCT) components. To determine the feasibility and applicability of interventions, the participants' adherence to the intervention, their experience as well as adverse events were analyzed.

RESULTS

Seventeen eligible studies, applying 22 interventions, were identified. Studies included a total of 827 older patients with a median age of 70.2 years. In thirteen interventions (59%), the PA monitor was embedded in a structured behavioral intervention, an indication-specific intervention or usual care. Most frequently applied intervention components were goal setting and self-monitoring (n = 18), real-time PA monitor feedback complemented by feedback from the study team (n = 12), use of further BCTs (n = 18), and regular counseling with the study team (n = 19). Comprehensive information on the participants' intervention adherence and experience were reported for 15 (68%) and 8 (36%) interventions, respectively.

CONCLUSION

The components included in PA monitoring-based interventions varied considerably especially regarding the extent, frequency, and content of feedback, goal setting and BCTs counseling. Future research should evaluate which components are most effective and clinically applicable to promote physical activity in geriatric patients. To be able to precisely analyze the effects, trials should seek to report details on intervention components, adherence and adverse events, while future reviews may use the findings of this scoping review to conduct analyses with less heterogeneity in study characteristics and intervention strategies.

Longitudinal Sedentary Time and Symptoms in Breast Cancer Patients during Chemotherapy Using Ecological Momentary Assessment

PURPOSE

To examine the relationship between daily fluctuations in symptoms and sedentary behavior (SB) during chemotherapy (CT) for breast cancer.

METHODS

Breast cancer patients ( N = 68, M age = 48.5 ± 10.4 yr) undergoing CT wore an activity monitor on their hip to assess daily SB and completed prompts assessing symptoms (affect, anxiety, depression, fatigue, pain, and physical and cognitive functioning) for 10 consecutive days (3 d pre-CT, day of, and 6 d post-CT) at the beginning, middle and end cycles of CT. Mixed models assessed the bidirectional between-person (BP) and within-person (WP) associations of current day symptoms with minutes of SB measured on 1) the same day and 2) the next day, controlling for relevant covariates.

RESULTS

Within person same-day results revealed a significant association between affect, anxiety, fatigue, physical functioning, pain, and cognitive functioning and same-day SB. Worse than average symptom ratings on a given day were associated with more SB that day. There was a significant WP relationship between previous-day anxiety, depression, and physical function and next-day SB (i.e., worse than average symptom ratings the previous day were associated with more SB the next day). Within person same-day results revealed a significant association between same-day SB and affect, anxiety, fatigue, pain, physical functioning, and cognitive functioning. The WP relationships were significant for previous-day SB and next-day affect and pain (i.e., higher than average SB associated with lower ratings). Relationships persisted when controlling for moderate-to-vigorous physical activity. There were no significant BP results.

CONCLUSIONS

Higher symptom ratings were associated with increased SB and higher SB was associated with worse symptoms. Future work should identify SB reduction intervention approaches tailoring to daily symptom burden during CT for breast cancer.

Digital Technologies for Health Promotion and Disease Prevention in Older People: Scoping Review

BACKGROUND

Digital technologies have the potential to contribute to health promotion and disease prevention in the aging world.

OBJECTIVE

This study aims to identify digital technologies for health promotion and disease prevention that could be used independently by older people in nonclinical settings using a scoping review.

METHODS

Through database (MEDLINE, PsycINFO, CINAHL, and SCOPUS; to March 3, 2022) and manual searches (to June 14, 2022), 90 primary studies and 8 systematic reviews were included in this scoping review. The eligibility was based on the PCC (Population, Concept, and Context) criteria: (1) people aged 50 years or older (population), (2) any digital (health) technology (eg, smartphone apps, websites, virtual reality; concept), and (3) health promotion and disease prevention in daily life in nonclinical and noninstitutional settings (context). Data items included study characteristics, PCC criteria, opportunities versus challenges, and evidence gaps. Data were synthesized using descriptive statistics or narratively described by identifying common themes.

RESULTS

The studies were published in 2005-2022 and originated predominantly from North America and Europe. Most primary studies were nonrandomized, reported quantitative data, and investigated effectiveness or feasibility (eg, acceptance or usability) of digital technologies in older people. The participants were aged 50 years to 99 years, predominantly female, affluent (ie, with high income, education, and digital competence), and intended to use or used digital technologies for a median of 3 months independently at home or in community settings. The digital technologies included mobile or nonmobile technologies or virtual reality. The studies used "modern devices" (eg, smartphones, wearables, or gaming consoles) or modern and "older devices" (eg, computers or mobile phones). The users interacted with digital technologies via websites, emails, text messages, apps, or virtual reality. Health targets of digital technologies were mobility, mental health, nutrition, or cognition. The opportunities versus challenges of digital technologies were (1) potential health benefits versus unclear or no benefits for some outcomes, (2) monitoring of health versus ethical issues with data collection and management, (3) implications for functioning in daily life (ie, potential to prolong independent living) versus unclear application for clinical management or care, (4) tailoring of technical properties and content toward older users versus general use, (5) importance of human support for feasibility versus other factors required to improve feasibility, (6) reduction of social isolation versus access to digital technologies, and (7) improvement in digital competence versus digital divide.

CONCLUSIONS

Various digital technologies were independently used by people aged 50 years or older for health promotion and disease prevention. Future studies should focus on (1) more diverse populations of older people, (2) new digital technologies, (3) other (clinical and care) settings, and (4) outcome evaluation to identify factors that could enhance any health benefits of digital technologies.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

RR2-10.2196/37729.

A Scoping Review and a Taxonomy to Assess the Impact of Mobile Apps on Cancer Care Management

Mobile Health (mHealth) has a great potential to enhance the self-management of cancer patients and survivors. Our study aimed to perform a scoping review to evaluate the impact and trends of mobile application-based interventions on adherence and their effects on health outcomes among the cancer population. In addition, we aimed to develop a taxonomy of mobile-app-based interventions to assist app developers and healthcare researchers in creating future mHealth cancer care solutions. Relevant articles were screened from the online databases PubMed, EMBASE, and Scopus, spanning the time period from 1 January 2016 to 31 December 2022. Of the 4135 articles initially identified, 55 were finally selected for the review. In the selected studies, breast cancer was the focus of 20 studies (36%), while mixed cancers were the subject of 23 studies (42%). The studies revealed that the usage rate of mHealth was over 80% in 41 of the 55 studies, with factors such as guided supervision, personalized suggestions, theoretical intervention foundations, and wearable technology enhancing adherence and efficacy. However, cancer progression, technical challenges, and unfamiliarity with devices were common factors that led to dropouts. We also proposed a taxonomy based on diverse theoretical foundations of mHealth interventions, delivery methods, psycho-educational programs, and social platforms. We suggest that future research should investigate, improve, and verify this taxonomy classification to enhance the design and efficacy of mHealth interventions.

Digital Health Interventions for Adult Patients With Cancer Evaluated in Randomized Controlled Trials: Scoping Review

BACKGROUND

Digital care has become an essential component of health care. Interventions for patients with cancer need to be effective and safe, and digital health interventions must adhere to the same requirements.

OBJECTIVE

The purpose of this study was to identify currently available digital health interventions developed and evaluated in randomized controlled trials (RCTs) targeting adult patients with cancer.

METHODS

A scoping review using the JBI methodology was conducted. The participants were adult patients with cancer, and the concept was digital health interventions. The context was open, and sources were limited to RCT effectiveness studies. The PubMed, CINAHL, Embase, Cochrane Library, Research Information Sharing Service, and KoreaMed databases were searched. Data were extracted and analyzed to achieve summarized results about the participants, types, functions, and outcomes of digital health interventions.

RESULTS

A total of 231 studies were reviewed. Digital health interventions were used mostly at home (187/231, 81%), and the web-based intervention was the most frequently used intervention modality (116/231, 50.2%). Interventions consisting of multiple functional components were most frequently identified (69/231, 29.9%), followed by those with the self-manage function (67/231, 29%). Web-based interventions targeting symptoms with the self-manage and multiple functions and web-based interventions to treat cognitive function and fear of cancer recurrence consistently achieved positive outcomes. More studies supported the positive effects of web-based interventions to inform decision-making and knowledge. The effectiveness of digital health interventions targeting anxiety, depression, distress, fatigue, health-related quality of life or quality of life, pain, physical activity, and sleep was subject to their type and function. A relatively small number of digital health interventions specifically targeted older adults (6/231, 2.6%) or patients with advanced or metastatic cancer (22/231, 9.5%).

CONCLUSIONS

This scoping review summarized digital health interventions developed and evaluated in RCTs involving adult patients with cancer. Systematic reviews of the identified digital interventions are strongly recommended to integrate digital health interventions into clinical practice. The identified gaps in digital health interventions for cancer care need to be reflected in future digital health research.

Light-intensity and moderate-to-vigorous intensity physical activity among older adult breast cancer survivors with obesity: A narrative review

BACKGROUND

With an aging population, rising incidence of breast cancer, improved survival rates, and obesity epidemic, there will be a growing population of older adult breast cancer survivors with obesity. This complex population, often with multimorbidity, is at risk for several poor health outcomes, including recurrence, cardiovascular disease, dementia, and diabetes, and a number of deleterious symptoms, including a worsened inflammatory profile, breast cancer- related lymphedema, mobility disability, cognitive impairment, anxiety, and depressive symptoms. A wealth of meta-analytic and randomized controlled trial evidence show that adherence to World Health Organization and 2018 United States Physical Activity guidelines-based levels of moderate-to-vigorous physical activity (MVPA) reduces risk of all-cause mortality, and improves symptoms. However, few survivors engage in recommended levels of MVPA, and symptoms related to their multimorbidity may preclude engaging in sufficient levels of MVPA. Additional research of MVPA in this population is warranted; however, understudied light-intensity physical activity (LIPA) may be a more pragmatic target than MVPA among this complex population facing extensive challenges meeting MVPA recommendations. Large benefits are likely to occur from increasing these survivors' total activity, and LIPA prescriptions may be a more pragmatic approach than MVPA to aid this transition.

METHODS

We present a broad, narrative review of the evidence for MVPA and LIPA in this population on an array of health outcomes across the translational science spectrum (clinical, implementation, and public health), and identify a number of directions for future research focused on understanding the potential diverse health effects of LIPA.

CONCLUSION

Additional LIPA research is warranted, as LIPA prescriptions may be a pragmatic strategy to effectively promote physical activity to this complex population.

Self-Selected Walking Cadence after 16-Week Light-Intensity Physical Activity Intervention for Older Cancer Survivors

In this secondary analysis of a light-intensity physical activity intervention, we hypothesized that older cancer survivors would self-select a faster walking cadence to meet their daily step goals. Average steps/day and free-living walking cadence were measured in 41 participants (age 69 ± 3.1 years) with an ActivPAL monitor worn 7 days pre- and post-intervention. Besides peak and average walking cadence, stepping patterns associated with ambulatory intensity were sorted in cadence bands of 20 steps/min from 40−59 (incidental movement) to ≥120 steps/min (fast locomotor movement). Compared to the waitlist Control group (n = 17), the Intervention group (n = 24) increased their peak 30-min cadence (4.3 vs. 1.9 steps/minute; p = 0.03), average 10-min cadence (4.1 vs. −6.6 steps/minute; p = 0.04), and average 30-min cadence (5.7 vs. −0.8 steps/minute, p = 0.03). Steps taken in cadence bands denoting moderate-intensity physical activity (100−119 steps/min) increased by 478 (interquartile range (IQR): −121 to 1844) compared to decreasing by 92 (IQR: −510 to 181) steps/day for the intervention and Control groups, respectively (p < 0.01). Evaluation of free-living walking cadence and patterns of ambulatory behavior can inform future interventions targeting behavior change, especially in those populations most at risk for reduced physical activity and vulnerable to mobility deficits and loss of independence.

"You're Going to Have to Think a Little Bit Different" Barriers and Facilitators to Using mHealth to Increase Physical Activity among Older, Rural Cancer Survivors

Wearable activity trackers (WATs) hold great promise in increasing physical activity among older cancer survivors. However, older cancer survivors who reside in rural regions are at increased risk of being digitally marginalized. The goal of this study was to learn about WATs adoption motivation and needs of rural older cancer survivors who live in New Mexico, one of the most rural states with the lowest broadband Internet connectivity in the United States. We conducted six key informant interviews and recruited 31 older cancer survivors from rural counties statewide who participated in interviews and focus groups. Our results show great interest in using WATs as part of an intervention to alleviate barriers associated with the digital divide. Participants were offered diverse modalities to support them in adoption of the trackers. These results will be used to inform future interventions and policies focusing on increasing physical activity in older cancer survivors who reside in rural communities.

Southwest Harvest for Health: An Adapted Mentored Vegetable Gardening Intervention for Cancer Survivors

Harvest for Health is a home-based vegetable gardening intervention that pairs cancer survivors with Master Gardeners from the Cooperative Extension System. Initially developed and tested in Alabama, the program was adapted for the different climate, growing conditions, and population in New Mexico. This paper chronicles the feasibility, acceptability, and preliminary efficacy of "Southwest Harvest for Health". During the nine-month single-arm trial, 30 cancer survivor-Master Gardener dyads worked together to establish and maintain three seasonal gardens. Primary outcomes were accrual, retention, and satisfaction. Secondary outcomes were vegetable and fruit (V and F) intake, physical activity, and quality of life. Recruitment was diverse and robust, with 30 survivors of various cancers, aged 50-83, roughly one-third minority, and two-thirds females enrolled in just 60 days. Despite challenges due to the COVID-19 pandemic, retention to the nine-month study was 100%, 93% reported "good-to-excellent" satisfaction, and 87% "would do it again." A median increase of 1.2 servings of V and F/day was documented. The adapted home-based vegetable gardening program was feasible, well-received, and resulted in increased V and F consumption among adult cancer survivors. Future studies are needed to evaluate the effectiveness of this program and to inform strategies to increase the successful implementation and further dissemination of this intervention.