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UCSF-led ClinicalTrials.gov Trial Tests Yoga to Reduce Cancer Survivorship Disparities

UCSF investigators have a ClinicalTrials.gov listing titled "Yoga to Improve Disparities in Cancer Survivorship" posted/updated Feb. 24, 2026, though key trial identifiers and details are missing in the excerpt.

Jamie Taylor3 min read
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UCSF-led ClinicalTrials.gov Trial Tests Yoga to Reduce Cancer Survivorship Disparities
Source: news.northeastern.edu

University of California, San Francisco investigators have posted a ClinicalTrials.gov listing titled "Yoga to Improve Disparities in Cancer Survivorship," according to a record marked posted/updated Feb. 24, 2026. The supplied excerpt states that the trial record "lists principal investigators and sponsors associated with the University of California, San Francisco and collaborators" and describes the project as "an investigator‑initiated effort to examine yoga’s role in reducing disparities among cancer survivors." The original excerpt from that listing truncates mid-word ("The registe"), leaving the public snippet incomplete.

The ClinicalTrials.gov excerpt provided did not include a ClinicalTrials.gov identifier, principal investigator names, sponsor names, recruitment sites, sample size, eligibility criteria, or specified outcome measures. Those administrative and protocol details are absent from the posted/updated Feb. 24, 2026 excerpt, so no full trial record or NCT number could be confirmed from that text alone.

Separately, a PMC/NLM/NIH Methods excerpt describes a randomized trial registered as NCT06166225. That Methods text states, "Adults that are overweight or have obesity will be recruited to participate in a 12-month IDWL program." Following a 3-month assessment, eligible participants in that protocol are randomized to either a yoga intervention or a contact-matched wellness comparison condition. The yoga arm is described in detail: 14 weeks of group-based, virtual Iyengar yoga delivered twice weekly, followed by 22 weeks of yoga delivered once per week, and then 6 months of no contact. Assessments are scheduled at baseline, 3 months, 6 months, 12 months, and 18 months, and data collection includes "several questionnaires, ecological momentary assessments, and objectively measured weight and accelerometry data."

The PMC Results excerpt reports pilot findings tied to that protocol. Investigators observed increases in self-compassion compared to control "among those who lost more weight in the first 3 months of treatment (≥5%)." The text states that these results "led to the hypothesis that yoga can not only decrease the likelihood of dietary lapse but also reduce many common factors, which could potentially trigger a dietary lapse contributing to longer-term WL success." The pilot also found that online delivery was feasible: "due to COVID-19, one cohort in this study received yoga classes remotely (live via videoconferencing), and attendance and satisfaction ratings were comparable to in-person yoga classes administered in the previous cohort."

AI-generated illustration
AI-generated illustration

The Methods/Results excerpts add methodological detail that the study uses technology-based assessment methods (EMA) to capture dietary lapses and potential lapse triggers "eg, cravings, temptations, and affect" in near-real-time, paired with objective monitoring of aerobic physical activity via accelerometry. The report also notes that "pilot work indicates that yoga participation does not reduce aerobic exercise engagement," and that the study "will be able to empirically answer whether including yoga reduces engagement in other modalities of exercise"—a sentence that is truncated in the supplied excerpt ("both the").

At present, the Feb. 24, 2026 ClinicalTrials.gov listing tied to UCSF and the NCT06166225 registration described in the PMC excerpts cannot be conclusively linked based on the supplied texts. Confirming whether the UCSF "Yoga to Improve Disparities in Cancer Survivorship" posting corresponds to NCT06166225 will require the full ClinicalTrials.gov record or investigator confirmation to restore missing identifiers, principal investigator names, recruitment sites, and primary outcomes.

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