{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,3]],"date-time":"2026-02-03T06:01:16Z","timestamp":1770098476302,"version":"3.49.0"},"reference-count":36,"publisher":"S. Karger AG","issue":"1","license":[{"start":{"date-parts":[[2025,12,6]],"date-time":"2025-12-06T00:00:00Z","timestamp":1764979200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"},{"start":{"date-parts":[[2025,12,6]],"date-time":"2025-12-06T00:00:00Z","timestamp":1764979200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Digit Biomark"],"abstract":"<jats:p>Introduction: Older men on androgen suppression for prostate cancer experience substantial symptom burden that is often missed between clinic visits. In prior work from our group, frequency-domain features ranked highly for predicting geriatric impairment, motivating a focus on interpretable spectral measures from open-source wrist accelerometry. Our overall objective was to identify accelerometry features from a pre-specified library that track weekly symptom burden in older men on ADT, and to characterize the temporal scale of the top candidates; spectral features were of particular interest. Methods: A retrospective secondary analysis of an open-source pilot was performed. Ten men \u226565 years with metastatic prostate cancer completed weekly symptom burden and self-rated health over \u223c100 days. Symptom-triggered (and random) 48-h, 10-Hz wrist-accelerometry sessions were aggregated to 60-s counts-per-minute (CPM) and vector-magnitude change. From these, 98 pre-specified statistical and spectral features were extracted. Associations with a weekly Symptom Burden + Self-Rated Health Index composite (SBSI) were assessed using linear mixed-effects models (days + random intercept), Spearman correlations across five 30-day bins, penalized mixed-effects regression least absolute shrinkage and selection operator (\u03bb = 0.5, 1), and a 500-tree random forest. Results: Nine participants provided 44 monitoring windows (14\u201348 h). In mixed-effects models, two CPM features were nominally associated with SBSI but did not survive false-discovery-rate adjustment. Across 30-day bins, a minute-scale restlessness pattern (CPM_top_15_freq3) rose with higher SBSI (\u03c1 = +0.95; p = 0.012), while an overall rhythm balance measure (CPM_median_freq) tended to shift lower (\u03c1 = \u22120.88; p = 0.049). Penalized models (\u03bb = 1) retained both features, and random-forest importance ranked them highest. Within-participant plots showed restlessness increased during higher symptom weeks, while slower rhythm balance showed individual variability. Conclusion: Two interpretable CPM spectral features \u2013 restlessness (CPM_top_15_freq3) and global rhythm balance (CPM_median_freq) \u2013 were consistently associated with weekly symptom burden in this cohort. Findings are preliminary and warrant prospective validation for remote symptom monitoring.<\/jats:p>","DOI":"10.1159\/000549704","type":"journal-article","created":{"date-parts":[[2025,12,8]],"date-time":"2025-12-08T17:01:29Z","timestamp":1765213289000},"page":"11-20","source":"Crossref","is-referenced-by-count":0,"title":["Tolerability and the Accelerome: Open-Source Wrist Accelerometry Relates to Symptom Burden in Androgen Ablated Older Men with Prostate Cancer"],"prefix":"10.1159","volume":"10","author":[{"given":"Nabiel","family":"Mir","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Konstantinos","family":"Ameranis","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yan","family":"Che","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Russell 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