Insights into endometriosis symptom trajectories and assessment of surgical intervention outcomes using longitudinal actigraphy.
prospective_cohort · Level II
Where this comes from
- Record sourced from PubMed, PMID 40316659.
- Also identified by DOI 10.1038/s41746-025-01629-8 and PMC identifier 12048534.
- Licence recorded as CC BY.
- The licence permits redistribution, so the abstract is shown in full and the full text is available from the publisher.
Abstract
Endometriosis is a common, chronic condition associated with debilitating pain, fatigue, and heterogeneous symptom presentation. In this exploratory study, 68 participants with confirmed endometriosis were monitored for up to three 4-6-week smartwatch cycles. We collected daily self-reports of pain and fatigue as well as retrospective questionnaires assessing quality of life, and we extracted daily measures of physical activity (PA), sleep, and diurnal rhythms from wrist-worn actigraphy data. We found that daily PA was strongly negatively correlated with self-reported fatigue (repeated measures correlations <math xmlns="http://www.w3.org/1998/Math/MathML"><mrow><mi>R</mi> <mo><</mo> <mo>-</mo> <mn>0.3</mn></mrow> </math> ) and that participants with more severe or variable symptom trajectories displayed lower levels of PA, greater sleep disturbance, and more disrupted sleep and activity rhythms (Spearman's <math xmlns="http://www.w3.org/1998/Math/MathML"><mrow><mi>|R|</mi> <mo>></mo> <mn>0.3</mn></mrow> </math> ). Lastly, we found evidence of sleep and PA changes following surgery for endometriosis that reflected change in self-reported symptoms. Collectively, our findings suggest that passive data collection using wrist-worn wearables in endometriosis could facilitate individualized objective insights into symptom trajectories.