健康心理学
乳腺癌
心理干预
体力活动
医学
系统回顾
心理学
临床心理学
物理疗法
公共卫生
物理医学与康复
癌症
梅德林
内科学
精神科
生物
病理
生物化学
作者
Kellie Cooper,Stephanie Lapierre,Montserrat Carrera Seoane,Katie Lindstrom,Ricarda K. Pritschmann,Marissa L. Donahue,Demetra D. Christou,Megan A. McVay,Danielle E. Jake‐Schoffman
出处
期刊:Translational behavioral medicine
[Oxford University Press]
日期:2023-01-24
卷期号:13 (4): 268-280
被引量:5
摘要
Abstract Given the broad benefits of physical activity (PA) but low PA levels among breast cancer survivors (i.e., women who have received a breast cancer diagnosis), innovative and evidence-based techniques are needed to motivate and support exercise. This study systematically reviews the use of behavior change techniques (BCTs) in digital PA interventions for breast cancer survivors. Studies were retrieved from five electronic databases and were included if they (i) sampled exclusively female breast cancer survivors aged >18 years, (ii) involved a digital intervention with the primary purpose of increasing PA, (iii) included a BCT component, (iv) used a randomized or quasi-randomized design, and (v) were published from January 2000 to May 2022. Two coders independently extracted data. Twenty primary studies met the inclusion criteria and were included in this review. All interventions used at least one BCT (mean 4 ± 1, range 2–13); self-monitoring (85%) and goal setting (79%) were the most common BCTs. Twelve of 20 (60%) studies reported improvements in PA behavior in the intervention vs. control group, and self-monitoring and goal setting were the most commonly used BCTs in these studies. Of the 93 total BCTs, 66 were not used in any interventions in the review, including critical constructs for PA behavior change (e.g., biofeedback). BCTs, important facilitators of PA behavior change, are being underutilized in digital PA interventions for breast cancer survivors. Future research should incorporate more diverse BCTs to explore if they can add to the effectiveness of digital interventions for this population.
科研通智能强力驱动
Strongly Powered by AbleSci AI