{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,10]],"date-time":"2026-07-10T16:57:41Z","timestamp":1783702661265,"version":"3.55.0"},"reference-count":54,"publisher":"Wiley","issue":"6","license":[{"start":{"date-parts":[[2025,8,25]],"date-time":"2025-08-25T00:00:00Z","timestamp":1756080000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100002081","name":"Irish Research Council","doi-asserted-by":"publisher","award":["GOIPD\/2022\/312"],"award-info":[{"award-number":["GOIPD\/2022\/312"]}],"id":[{"id":"10.13039\/501100002081","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Journal of Sleep Research"],"published-print":{"date-parts":[[2025,12]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:p>\n                    Sleep monitoring is a tool widely used to support recovery and performance in endurance athletes. This study aimed to assess agreement between research\u2010grade actigraphy (ActiGraph GT9X), consumer\u2010grade smartwatches (Garmin), and self\u2010reported sleep diaries in masters endurance athletes. Seventy athletes (43 males, 46.3\u2009\u00b1\u20097.3\u2009years; 27 females, 49.3\u2009\u00b1\u20098.3\u2009years) wore ActiGraph and smartwatch devices on their non\u2010dominant wrist while maintaining a self\u2010reported sleep diary for seven consecutive nights. ActiGraph recorded the shortest total sleep time (332\u2009\u00b1\u200987\u2009min), whereas the diary and smartwatch recorded longer sleep durations by 109 and 126\u2009min, respectively (\n                    <jats:italic>p<\/jats:italic>\n                    \u2009&lt;\u20090.001). Sleep efficiency (%) was also higher in the sleep diary and smartwatch compared to ActiGraph, with mean biases of \u22125.9% and \u22124.1%, respectively. Sleep diary values closely agreed with smartwatch values (ICC\u2009=\u20090.880, 95% CI: 0.624 to 0.946), while poor agreement was found between ActiGraph and the sleep diary (ICC\u2009=\u20090.190, 95% CI: \u22120.149 to 0.459). Proportional bias was evident in both the sleep diary and smartwatch, with greater differences in total sleep time and efficiency observed in athletes with shorter durations and lower sleep efficiency, respectively. Sex differences emerged, with stronger agreement between smartwatch and ActiGraph in sleep efficiency in females (ICC\u2009=\u20090.690, 95% CI: 0.336 to 0.857) than males (ICC\u2009=\u20090.481, 95% CI: \u22120.020 to 0.723). Findings suggest that both consumer\u2010grade devices and self\u2010reported sleep diaries report longer sleep durations and higher sleep efficiency relative to actigraphy. Sleep metrics from these methods should be interpreted with caution, particularly in athletes with shorter or more fragmented sleep.\n                  <\/jats:p>","DOI":"10.1111\/jsr.70177","type":"journal-article","created":{"date-parts":[[2025,8,25]],"date-time":"2025-08-25T08:09:50Z","timestamp":1756109390000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Evaluation of the Agreement Between Research\u2010Grade Actigraphy Sleep, Consumer\u2010Grade Smartwatches and Self\u2010Reported Sleep Diaries in Masters Endurance Athletes"],"prefix":"10.1111","volume":"34","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4267-9950","authenticated-orcid":false,"given":"Asli","family":"Devrim\u2010Lanpir","sequence":"first","affiliation":[{"name":"School of Health and Human Performance Dublin City University  Dublin Ireland"},{"name":"Department of Nutrition and Dietetics, Faculty of Health Sciences Istanbul Medeniyet 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