scholarly journals Randomized trial of two artificial intelligence coaching interventions to increase physical activity in cancer survivors

2021 ◽  
Vol 4 (1) ◽  
Author(s):  
Ahmed Hassoon ◽  
Yasmin Baig ◽  
Daniel Q. Naiman ◽  
David D. Celentano ◽  
Dina Lansey ◽  
...  
Keyword(s):  
Physical Activity ◽  
Cancer Survivors ◽  
Randomized Trial ◽  
Breast Cancer Survivors ◽  
Text Message ◽  
Practical Method ◽  
Voice Technology ◽  
Steps Per Day ◽  
Change In Mean

AbstractPhysical activity (PA) has numerous health benefits. Personalized coaching may increase adherence to PA recommendations, but it is challenging to deliver personalized coaching in a scalable manner. The objective of our study was to determine whether novel artificially intelligent (AI) coaching interventions increase PA among overweight or obese, physically inactive cancer survivors compared to a control arm that receives health information. We conducted a single-center, three-arm randomized trial with equal allocation to (1) voice-assisted AI coaching delivered by smart speaker (MyCoach), (2) autonomous AI coaching delivered by text message (SmartText), and (3) control. Data collection was automated via sensors and voice technology, effectively masking outcome ascertainment. The primary outcome was change in mean steps per day from baseline to the end of follow-up at 4 weeks. Of the 42 randomized participants, 91% were female, and 36% were Black; mean age was 62.1 years, and mean BMI was 32.9 kg/m2. The majority were breast cancer survivors (85.7%). At the end of 4 weeks follow-up, steps increased in the MyCoach arm by an average of 3618.2 steps/day; the net gain in this arm was significantly greater [net difference = 3568.9 steps/day (95% CI: 1483–5655), P value <0.001] compared to control arm, and [net difference = 2160.6 steps/day (95% CI: 11–4310), P value 0.049] compared to SmartText. In conclusion, AI-based voice-assisted coaching shows promise as a practical method of delivering scalable, individualized coaching to increase physical activity in sedentary cancer survivors. Additional research is needed to replicate these findings in a broader population of cancer survivors and to investigate the effects of these interventions in the general population.ClinicalTrials.gov Identifier: NCT03212079, July 11, 2017, https://clinicaltrials.gov/ct2/show/NCT03212079.

A Group Dynamics-Based Exercise Intervention to Improve Physical Activity Maintenance in Breast Cancer Survivors

2019 ◽  
Vol 16 (9) ◽  
pp. 785-791
Author(s):  
Heather J. Leach ◽  
Katie B. Potter ◽  
Mary C. Hidde
Keyword(s):  
Breast Cancer ◽  
Physical Activity ◽  
Cancer Survivors ◽  
Group Dynamics ◽  
Breast Cancer Survivors ◽  
Exercise Intervention ◽  
Intervention Group ◽  
Group Cohesion ◽  
Self Report

Background: To maintain increases in physical activity (PA), interventions that implement group dynamics principles and strategies with the intent of enhancing group cohesion may be advantageous. This study examined group cohesion and PA following a group dynamics-based PA intervention among breast cancer survivors. Methods: The study was designed as a pilot randomized controlled trial comparing an 8-week group dynamics-based intervention with an individually supervised intervention. Group cohesion was measured by the Physical Activity Group Environment Questionnaire, and PA was measured at baseline, post-intervention, and 3-month follow-up using a self-report questionnaire and pedometer. Results: Group cohesion levels were high following the intervention and positively associated with PA at 3-month follow-up (ranger = .182–.555). At 3-month follow-up, 91.7% of participants in the group-dynamics-based intervention (n = 12) were classified as moderately active or greater, compared with 54.5% in the individually supervised intervention (n = 11). Conclusions: These results suggest that, for breast cancer survivors, peer support and fostering group cohesion as part of an exercise program may help to support PA following the completion of a structured intervention. A larger trial with longer follow-up is needed to establish comparative efficacy for a group-dynamics-based exercise intervention to enhance long-term PA adherence in breast cancer survivors.

scholarly journals Physical activity in Black breast cancer survivors: implications for quality of life and mood at baseline and 6-month follow-up

2016 ◽  
Vol 26 (6) ◽  
pp. 822-828 ◽  
Author(s):  
Allyson D. Diggins ◽  
Lauren E. Hearn ◽  
Suzanne C. Lechner ◽  
Debra Annane ◽  
Michael H. Antoni ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Quality Of Life ◽  
Physical Activity ◽  
Cancer Survivors ◽  
Breast Cancer Survivors

Maintenance of Physical Activity in Breast Cancer Survivors after a Randomized Trial

2008 ◽  
Vol 40 (1) ◽  
pp. 173-180 ◽  
Author(s):  
JEFFREY K. VALLANCE ◽  
KERRY S. COURNEYA ◽  
RONALD C. PLOTNIKOFF ◽  
IRINA DINU ◽  
JOHN R. MACKEY
Keyword(s):  
Breast Cancer ◽  
Physical Activity ◽  
Cancer Survivors ◽  
Randomized Trial ◽  
Breast Cancer Survivors

Framing Social Comparison Feedback With Financial Incentives for Physical Activity Promotion: A Randomized Trial

2020 ◽  
Vol 17 (6) ◽  
pp. 641-649
Author(s):  
Mitesh S. Patel ◽  
David A. Asch ◽  
Roy Rosin ◽  
Dylan S. Small ◽  
Scarlett L. Bellamy ◽  
...  
Keyword(s):  
Physical Activity ◽  
Randomized Trial ◽  
Social Comparison ◽  
Financial Incentives ◽  
Physical Activity Promotion ◽  
Intervention Period ◽  
Activity Data ◽  
Activity Promotion ◽  
Steps Per Day

Background: Social comparison feedback is often used in physical activity interventions but the optimal design of feedback is unknown. Methods: This 4-arm, randomized trial consisted of a 13-week intervention period and 13-week follow-up period. During the intervention, 4-person teams were entered into a weekly lottery valued at about $1.40/day and contingent on the team averaging ≥7000 steps per day. Social comparison feedback on performance was delivered weekly for 26 weeks, and varied by reference point (50th vs 75th percentile) and forgiveness in use of activity data (all 7 d or best 5 of 7 d). The primary outcome was the mean proportion of participant-days achieving the 7000-step goal. Results: During the intervention period, the unadjusted mean proportion of participant-days that the goal was achieved was 0.47 (95% confidence interval [CI]: 0.38 to 0.56) in the 50th percentile arm, 0.38 (95% CI: 0.30 to 0.37) in the 75th percentile arm, 0.40 (95% CI: 0.31 to 0.49) in the 50th percentile with forgiveness arm, and 0.47 (95% CI: 0.38 to 0.55) in the 75th percentile with forgiveness arm. In adjusted models during the intervention and follow-up periods, there were no significant differences between arms. Conclusions: Changing social comparison feedback did not impact physical activity.

Patterns of Fitbit Use and Activity Levels Among African American Breast Cancer Survivors During an eHealth Weight Loss Randomized Controlled Trial

2021 ◽  
pp. 089011712110367
Author(s):  
Jeanne M. Ferrante ◽  
Aaron Lulla ◽  
Julie D. Williamson ◽  
Katie A. Devine ◽  
Pamela Ohman-Strickland ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Physical Activity ◽  
Weight Loss ◽  
African American ◽  
Cancer Survivors ◽  
Breast Cancer Survivors ◽  
Activity Levels ◽  
Activity Tracker ◽  
Steps Per Day ◽  
Household Members

Purpose: This study examined adherence with a physical activity tracker and patterns of activity among different subgroups of African American/Black breast cancer survivors (AABCS). Design: Secondary analysis of weight loss trial that used an activity tracker (FitBit) with or without a commercial eHealth program (SparkPeople) over 12 months. Setting and Subjects: AABCS (N = 44) in New Jersey. Measures and Analysis: Adherence with tracker use, steps per day, and active minutes per week were compared by demographic and clinical characteristics using nonparametric statistics. Results: Median adherence was over 6 days per week throughout the 12-months. Adherence was significantly correlated with steps and active minutes (p < 0.015). Groups with lower adherence included: those with 5 or more conditions (p = 0.039), had higher number of household members (p = 0.008), and younger than 60 years (p = 0.044). Median number of steps per day remained consistently around 7000 throughout 12 months. Factors associated with lower activity included: age > 60; retirement; higher number of household members, comorbidity, or baseline BMI; and those in the SparkPeople + Fitbit group. Self-monitoring, goal setting, and self-efficacy were significantly correlated with activity levels (p < 0.05). Conclusion: Use of a physical activity tracker may help increase activity levels in AABCS. Certain subgroups, e.g. those older than age 60 years, retired, with BMI over 40, higher number of comorbidities or more household members, may require additional interventions.

scholarly journals Increasing Physical Activity among Breast Cancer Survivors by Modulating Temporal Orientation with rTMS: Feasibility and Potential Efficacy

2021 ◽  
Vol 18 (19) ◽  
pp. 10052
Author(s):  
Ellen Carl ◽  
Alina Shevorykin ◽  
Amylynn Liskiewicz ◽  
Ronald Alberico ◽  
Ahmed Belal ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Physical Activity ◽  
Cancer Survivors ◽  
Delay Discounting ◽  
Repeated Measures ◽  
Breast Cancer Survivors ◽  
Well Being ◽  
Temporal Orientation ◽  
Potential Efficacy ◽  
Steps Per Day

Maintaining adequate amounts of physical activity is a critical component of survivorship care for women with breast cancer. Increased physical activity is associated with increases in well-being, quality of life, and longevity, but women with cancer face unique, cancer-related factors that might affect physical activity. Consistent with the Competing Neurobehavioral Decision Systems model of decision making, we proposed to decrease delay discounting and increase physical activity by stimulating the executive function system via high-frequency repetitive transcranial magnetic stimulation (HF rTMS) of the left dorsolateral prefrontal cortex (LDLPFC). This randomized, sham-controlled, double-blinded trial examined the feasibility and potential efficacy of this approach to increase physical activity in breast cancer survivors. We hypothesized that active rTMS would significantly increase the mean number of steps per day and decrease delay discounting. Participants (n = 30) were primarily middle-aged (M = 53.7, SD = 7.9) and white with a mean BMI and body mass indices below 40. Indicators of feasibility and limited efficacy testing were positive. Although repeated-measures ANOVA revealed no significant changes in delay discounting, generalized estimating equations (GEE) found that participants in the active condition increased their mean daily steps by 400 steps per day, while those in the sham condition decreased this by nearly 600 steps per day. These findings indicate that the continued investigation of HF rTMS for increasing physical activity among women with breast cancer is justified.

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