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Accelerometer devices are increasingly used to measure RAR fragmentation using metrics such as inter-daily stability (IS), intradaily variability (IV), transition probabilities (TP), self-similarity parameter (\u03b1), and activity balance index (ABI). These metrics were proposed in the context of long period of wear but, in real life, non-wear might introduce measurement bias. This study aims to determine the minimum number of valid days to obtain reliable fragmentation metrics.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>Wrist-worn accelerometer data were drawn from the Whitehall accelerometer sub-study (age: 60 to 83 years) to simulate different non-wear patterns. Pseudo-simulated data with different numbers of valid days (one to seven), defined as &lt;\u20091\/3 of non-wear during both day and night periods, and with omission or imputation of non-wear periods were compared against complete data using intraclass correlation coefficient (ICC) and mean absolute percent error (MAPE).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Five days with valid data (97.8% of participants) and omission of non-wear periods allowed an ICC\u2009\u2265\u20090.75 and MAPE\u2009\u2264\u200915%, acceptable cut points for reliability, for IS and ABI; this number was lower for TPs (two-three days), \u03b1 and IV (four days). Overall, imputation of data did not provide better estimates. Findings were consistent across age and sex groups.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>The number of days of wrist accelerometer data with at least 2\/3 of wear time for both day and night periods varies from two (TPs) to five (IS, ABI) days for reliable RAR measures among older adults.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1186\/s11556-024-00364-5","type":"journal-article","created":{"date-parts":[[2024,10,19]],"date-time":"2024-10-19T02:02:27Z","timestamp":1729303347000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":14,"title":["Reliable measures of rest-activity rhythm fragmentation: how many days are needed?"],"prefix":"10.1186","volume":"21","author":[{"given":"Ian Meneghel","family":"Danilevicz","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sam","family":"Vidil","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Benjamin","family":"Landr\u00e9","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Aline","family":"Dugravot","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Vincent Theodor","family":"van Hees","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3109-9720","authenticated-orcid":false,"given":"S\u00e9verine","family":"Sabia","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2024,10,19]]},"reference":[{"issue":"1","key":"364_CR1","doi-asserted-by":"publisher","first-page":"65","DOI":"10.1093\/epirev\/mxab004","volume":"43","author":"F Liu","year":"2022","unstructured":"Liu F, Wanigatunga AA, Schrack JA. 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