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The Group-basEd Telehealth behavioral WEight Loss Program Among Breast Cancer Survivors: A Pilot and Feasibility
Kelly C Allison1, Courtney McCuen-Wurst1, Allie Raevsky2
1Department of Psychiatry Perelman School of Medicine University of Pennsylvania Philadelphia Pennsylvania USA.
Obesity Science & Practice
|December 23, 2024
Summary
This study found a 6-month telehealth behavioral weight loss program feasible and acceptable for breast cancer survivors, leading to significant weight loss and improved mood and quality of life.
Area of Science:
- Oncology
- Behavioral Science
- Public Health
Background:
- Obesity is a significant factor in breast cancer recurrence.
- Current behavioral weight loss (BWL) programs for cancer survivors are typically in-person or telephone-based.
- Telehealth group support offers a convenient alternative for survivors, but its feasibility and efficacy require investigation.
Purpose of the Study:
- To assess the feasibility and acceptability of a 6-month telehealth group BWL program for breast cancer survivors.
- To evaluate the program's impact on weight loss, mood, quality of life, and physical activity.
Main Methods:
- A single-arm, 6-month BWL program using 22 video group sessions was conducted.
- Participants were female breast cancer survivors with BMI > 25 kg/m² and at least 6 months post-adjuvant therapy.
- Outcomes included acceptability ratings, weight, Patient Health Questionnaire (PHQ-9), Quality of Life (QOL) scale, and physical activity levels.
Main Results:
- High retention (90%) and session attendance (81.3%) were observed, with high acceptability ratings.
- The program resulted in a mean weight loss of 5.9%, with 60% achieving ≥ 5% weight loss.
- Significant improvements were noted in mood (PHQ-9, p=0.01) and physical wellbeing QOL (p=0.01).
Conclusions:
- The telehealth group BWL program is feasible and acceptable for breast cancer survivors.
- The intervention achieved clinically significant weight loss and improved psychological and quality of life outcomes.
- Further research with larger, diverse samples is recommended to validate these findings.
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