Qualitative similarities and distinctions between participants’ experiences with a yoga intervention and an attention control

Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer(2023)

引用 0|浏览43
暂无评分
摘要
Purpose This manuscript aims to compare and contrast acceptability and perceived benefits of yoga-skills training (YST) and an empathic listening attention control (AC) in the Pro-You study, a randomized pilot trial of YST vs. AC for adults receiving chemotherapy infusions for gastrointestinal cancer. Methods Participants were invited for a one-on-one interview at week 14 follow-up, after completing all intervention procedures and quantitative assessments. Staff used a semi-structured guide to elicit participants’ views on study processes, the intervention they received, and its effects. Qualitative data analysis followed an inductive/deductive approach, inductively identifying themes and deductively guided by social cognitive theory. Results Some barriers (e.g., competing demands, symptoms), facilitators (e.g., interventionist support, the convenience of clinic-based delivery), and benefits (e.g., decreased distress and rumination) were common across groups. YST participants uniquely described the importance of privacy, social support, and self-efficacy for increasing engagement in yoga. Benefits specific to YST included positive emotions and greater improvement in fatigue and other physical symptoms. Both groups described some self-regulatory processes, but through different mechanisms: self-monitoring in AC and the mind–body connection in YST. Conclusions This qualitative analysis demonstrates that participant experiences in a yoga-based intervention or an AC condition reflect social cognitive and mind–body frameworks of self-regulation. Findings can be used to develop yoga interventions that maximize acceptability and effectiveness and to design future research that elucidates the mechanisms by which yoga is efficacious.
更多
查看译文
关键词
Yoga,Cancer,Qualitative,Self-regulation,Fatigue,Mechanisms
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要