{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,30]],"date-time":"2026-09-30T07:01:47Z","timestamp":1790751707818,"version":"4.1.0"},"reference-count":33,"publisher":"Wiley","issue":"4","license":[{"start":{"date-parts":[[2017,10,24]],"date-time":"2017-10-24T00:00:00Z","timestamp":1508803200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"funder":[{"DOI":"10.13039\/100000025","name":"National Institute of Mental Health","doi-asserted-by":"publisher","award":["MH64724"],"award-info":[{"award-number":["MH64724"]}],"id":[{"id":"10.13039\/100000025","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Journal of Sleep Research"],"published-print":{"date-parts":[[2018,8]]},"abstract":"<jats:title>Summary<\/jats:title><jats:p>Actigraphy (<jats:styled-content style=\"fixed-case\">ACT<\/jats:styled-content>) can enhance treatment for insomnia by providing objective estimates of sleep efficiency; however, only two studies have assessed the accuracy of actigraphy\u2010based estimates of sleep efficiency (<jats:styled-content style=\"fixed-case\">ACT<\/jats:styled-content>\u2010<jats:styled-content style=\"fixed-case\">SE<\/jats:styled-content>) in sleep\u2010disordered samples studied at home. Both found poor correspondence with polysomnography\u2010based estimates (<jats:styled-content style=\"fixed-case\">PSG<\/jats:styled-content>\u2010<jats:styled-content style=\"fixed-case\">SE<\/jats:styled-content>). The current study tested that concordance in a third sample and piloted a method for improving <jats:styled-content style=\"fixed-case\">ACT<\/jats:styled-content>\u2010<jats:styled-content style=\"fixed-case\">SE<\/jats:styled-content>. Participants in one of four diagnostic categories (panic disorder, post\u2010traumatic stress disorder, comorbid post\u2010traumatic stress and panic disorder and controls without sleep complaints) underwent in\u2010home recording of sleep using concurrent ambulatory <jats:styled-content style=\"fixed-case\">PSG<\/jats:styled-content> and actigraphy. Precisely synchronized <jats:styled-content style=\"fixed-case\">PSG<\/jats:styled-content> and <jats:styled-content style=\"fixed-case\">ACT<\/jats:styled-content> recordings were obtained from 41 participants. Sleep efficiency was scored independently using conventional methods, and <jats:styled-content style=\"fixed-case\">ACT<\/jats:styled-content>\u2010<jats:styled-content style=\"fixed-case\">SE<\/jats:styled-content>\/<jats:styled-content style=\"fixed-case\">PSG<\/jats:styled-content>\u2010<jats:styled-content style=\"fixed-case\">SE<\/jats:styled-content> concordance examined. Next, <jats:styled-content style=\"fixed-case\">ACT<\/jats:styled-content> data recorded initially at 0.5\u00a0Hz were resampled to 30\u2010s epochs and rescaled on a per\u2010participant basis to yield optimized concordance between <jats:styled-content style=\"fixed-case\">PSG<\/jats:styled-content>\u2010 and <jats:styled-content style=\"fixed-case\">ACT<\/jats:styled-content>\u2010based sleep efficiency estimates. Using standard scoring of <jats:styled-content style=\"fixed-case\">ACT<\/jats:styled-content>, the correlation between <jats:styled-content style=\"fixed-case\">ACT<\/jats:styled-content>\u2010<jats:styled-content style=\"fixed-case\">SE<\/jats:styled-content> and <jats:styled-content style=\"fixed-case\">PSG<\/jats:styled-content>\u2010<jats:styled-content style=\"fixed-case\">SE<\/jats:styled-content> across participants was statistically significant (<jats:italic>r<\/jats:italic>\u00a0=\u00a00.35, <jats:italic>P<\/jats:italic>\u00a0&lt;\u00a00.025), although <jats:styled-content style=\"fixed-case\">ACT<\/jats:styled-content>\u2010<jats:styled-content style=\"fixed-case\">SE<\/jats:styled-content> failed to replicate a main effect of diagnosis. Individualized calibration of <jats:styled-content style=\"fixed-case\">ACT<\/jats:styled-content> against a night of <jats:styled-content style=\"fixed-case\">PSG<\/jats:styled-content> yielded a significantly higher correlation between <jats:styled-content style=\"fixed-case\">ACT<\/jats:styled-content>\u2010<jats:styled-content style=\"fixed-case\">SE<\/jats:styled-content> and <jats:styled-content style=\"fixed-case\">PSG<\/jats:styled-content>\u2010<jats:styled-content style=\"fixed-case\">SE<\/jats:styled-content> (<jats:italic>r<\/jats:italic>\u00a0=\u00a00.65, <jats:italic>P<\/jats:italic>\u00a0&lt;\u00a00.001; <jats:italic>z<\/jats:italic>\u00a0=\u00a01.692, <jats:italic>P<\/jats:italic>\u00a0=\u00a00.0452, one\u2010tailed) and a significant main effect of diagnosis that was highly correspondent with the effect on <jats:styled-content style=\"fixed-case\">PSG<\/jats:styled-content>\u2010<jats:styled-content style=\"fixed-case\">SE<\/jats:styled-content>. <jats:styled-content style=\"fixed-case\">ACT<\/jats:styled-content>\u2010based estimates of sleep efficiency in sleep\u2010disordered patients tested at home can be improved significantly by calibration against a single night of concurrent <jats:styled-content style=\"fixed-case\">PSG<\/jats:styled-content>.<\/jats:p>","DOI":"10.1111\/jsr.12613","type":"journal-article","created":{"date-parts":[[2017,10,24]],"date-time":"2017-10-24T08:13:41Z","timestamp":1508832821000},"source":"Crossref","is-referenced-by-count":8,"title":["Calibrating actigraphy to improve sleep efficiency estimates"],"prefix":"10.1111","volume":"27","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1042-2445","authenticated-orcid":false,"given":"Christina T.","family":"Khan","sequence":"first","affiliation":[{"name":"Stanford University School of Medicine Stanford CA USA"},{"name":"National Center for Posttraumatic Stress Disorder Dissemination and Training Division Veterans Affairs Palo Alto Health Care System Palo Alto CA USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Steven H.","family":"Woodward","sequence":"additional","affiliation":[{"name":"National Center for Posttraumatic Stress Disorder Dissemination and Training Division Veterans Affairs Palo Alto Health Care System Palo Alto CA USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2017,10,24]]},"reference":[{"key":"e_1_2_9_2_1","doi-asserted-by":"publisher","DOI":"10.1377\/hlthaff.2014.0352"},{"key":"e_1_2_9_3_1","doi-asserted-by":"publisher","DOI":"10.1093\/sleep\/20.1.24"},{"key":"e_1_2_9_4_1","doi-asserted-by":"publisher","DOI":"10.1111\/jsr.12438"},{"key":"e_1_2_9_5_1","doi-asserted-by":"publisher","DOI":"10.2147\/NDT.S88236"},{"key":"e_1_2_9_6_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00134-008-1180-y"},{"key":"e_1_2_9_7_1","doi-asserted-by":"publisher","DOI":"10.1093\/sleep\/31.2.283"},{"key":"e_1_2_9_8_1","doi-asserted-by":"crossref","first-page":"357","DOI":"10.5664\/JCSM.1190","article-title":"Factors that may influence the classification of sleep\u2013wake by wrist actigraphy: the MrOS Sleep Study","volume":"7","author":"Blackwell T.","year":"2011","journal-title":"J. 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