{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,19]],"date-time":"2026-06-19T00:43:41Z","timestamp":1781829821634,"version":"3.54.5"},"reference-count":41,"publisher":"Wiley","issue":"3","license":[{"start":{"date-parts":[[2025,10,23]],"date-time":"2025-10-23T00:00:00Z","timestamp":1761177600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"},{"start":{"date-parts":[[2025,10,23]],"date-time":"2025-10-23T00:00:00Z","timestamp":1761177600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Journal of Sleep Research"],"published-print":{"date-parts":[[2026,6]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:p>\n                    Cognitive performance is significantly affected by sleep, but mild chronic sleep deprivation in daily life remains difficult to measure. Laboratory\u2010enforced sleep restriction may not fully replicate real\u2010life conditions. This study investigates whether Social Jet Lag (SJL), an indicator of misalignment between biological and social time, can used as a proxy for mild chronic sleep deprivation and its impact on cognitive function. Participants leading typical social lives were selected based on their\n                    <jats:styled-content style=\"fixed-case\">SJL<\/jats:styled-content>\n                    scores, and cognitive performance was assessed using an online experiment incorporating a Psychomotor Vigilance Task (\n                    <jats:styled-content style=\"fixed-case\">PVT<\/jats:styled-content>\n                    ) and a Sustained Attention to Response Task (\n                    <jats:styled-content style=\"fixed-case\">SART<\/jats:styled-content>\n                    ) at different times (post\u2010wake and pre\u2010sleep) and across multiple days (Sunday, Monday, and Friday). Generalised linear modelling (\n                    <jats:styled-content style=\"fixed-case\">GLM<\/jats:styled-content>\n                    ) revealed that\n                    <jats:styled-content style=\"fixed-case\">SJL<\/jats:styled-content>\n                    was consistently the most explanatory factor for cognitive performance, while test timing also had a significant impact. Cognitive performance impairments due to\n                    <jats:styled-content style=\"fixed-case\">SJL<\/jats:styled-content>\n                    remained stable across days, suggesting a stable influence of sleep timing irregularity. Additionally,\n                    <jats:styled-content style=\"fixed-case\">SJL<\/jats:styled-content>\n                    was associated with increased false\u2010positive rates in the\n                    <jats:styled-content style=\"fixed-case\">SART<\/jats:styled-content>\n                    , indicating reduced response inhibition ability. While\n                    <jats:styled-content style=\"fixed-case\">SJL<\/jats:styled-content>\n                    proved to be a useful measure compared to average sleep duration and the Sleep Regularity Index (\n                    <jats:styled-content style=\"fixed-case\">SRI<\/jats:styled-content>\n                    ), its effectiveness may be specific to populations following structured work schedules.\n                  <\/jats:p>","DOI":"10.1111\/jsr.70223","type":"journal-article","created":{"date-parts":[[2025,10,23]],"date-time":"2025-10-23T07:37:43Z","timestamp":1761205063000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Sleep Misalignment and Cognitive Decline in Everyday Life\u2014Social Jet Lag as a Proxy for Chronic Sleep Deprivation"],"prefix":"10.1111","volume":"35","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2496-0570","authenticated-orcid":false,"given":"Takashi G.","family":"Sato","sequence":"first","affiliation":[{"name":"NTT Bio\u2010Medical Informatics Research Center, NTT, Inc.  Atsugi Kanagawa Japan"},{"name":"NTT Communication Science Laboratories, NTT, Inc.  Atsugi Kanagawa Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Masami","family":"Takahashi","sequence":"additional","affiliation":[{"name":"NTT Social Informatics Laboratories, NTT, Inc.  Yokosuka Kanagawa Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Masaki","family":"Nishida","sequence":"additional","affiliation":[{"name":"Faculty of Sport Sciences Waseda University  Tokorozawa Saitama Japan"},{"name":"Sleep Research Institute Waseda University  Shinjuku Tokyo Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2025,10,23]]},"reference":[{"key":"e_1_2_12_2_1","doi-asserted-by":"publisher","DOI":"10.2147\/ndt.s12160203"},{"key":"e_1_2_12_3_1","doi-asserted-by":"publisher","DOI":"10.5664\/jcsm.26918"},{"key":"e_1_2_12_4_1","doi-asserted-by":"publisher","DOI":"10.1093\/sleep\/34.5.581"},{"key":"e_1_2_12_5_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.actaastro.2011.07.015"},{"key":"e_1_2_12_6_1","unstructured":"Bates D.2014.\u201cFitting Linear Mixed\u2010Effects Models Using lme4.\u201darXiv preprint arXiv:1406.5823."},{"key":"e_1_2_12_7_1","doi-asserted-by":"publisher","DOI":"10.1046\/j.1365\u20102869.2003.00337.x"},{"key":"e_1_2_12_8_1","doi-asserted-by":"publisher","DOI":"10.1016\/0165\u20101781(89)90047\u20104"},{"key":"e_1_2_12_9_1","doi-asserted-by":"publisher","DOI":"10.3109\/07420528.2015.1041599"},{"key":"e_1_2_12_10_1","doi-asserted-by":"publisher","DOI":"10.1093\/sleep\/20.4.267"},{"key":"e_1_2_12_11_1","volume-title":"An Introduction to Generalized Linear Models","author":"Dobson A. 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