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A Systematic Review Investigating the Nonparticipation Rate and Recruitment Challenges in Yoga Trials for Addictive
Pinki Sevda1, Priyanka Saha2, Meeteileima Khumukcham2
1Department of Psychiatry and NDDTC, All India Institute of Medical Sciences, New Delhi, India.
International Journal of Yoga
|August 5, 2026
Summary
Over half of potential participants were excluded from yoga intervention trials for substance use disorders. Key reasons included medical conditions, mental health issues, and lack of interest, impacting trial recruitment and representativeness.
Area of Science:
- Addiction Medicine
- Integrative Medicine
- Clinical Trial Methodology
Background:
- Yoga shows promise as an alternative therapy for substance use disorders, aiding stress reduction and self-control.
- Significant barriers exist for participant engagement in yoga interventions for addiction.
- A systematic review is needed to understand nonparticipation in these trials.
Purpose of the Study:
- To determine the nonparticipation rate in randomized controlled trials (RCTs) of yoga for addictive disorders.
- To identify the primary reasons for nonparticipation in such yoga trials.
Main Methods:
- Searched Google Scholar, CENTRAL, and PubMed for relevant peer-reviewed RCTs.
- Extracted data using standard procedures and evaluated risk of bias.
- Conducted pooled and sensitivity analyses to determine nonparticipation rates and effect sizes.
Main Results:
- Approximately 54% of potential participants were not included in the analyzed trials.
- High heterogeneity (I² = 99.797) was observed in the pooled effect size (0.544).
- Exclusion criteria (medical/mental health conditions) and participant refusal/lack of interest were major reasons for noninclusion.
Conclusions:
- Understanding nonparticipation barriers is crucial for improving recruitment efficiency in addiction and yoga research.
- Identifying reasons for noninclusion can inform future study designs to minimize dropout and ensure sample representativeness.
- Addressing barriers like scheduling conflicts and health exclusions may enhance trial feasibility and generalizability.