{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,28]],"date-time":"2026-10-28T18:35:22Z","timestamp":1793212522418,"version":"4.5.0"},"reference-count":53,"publisher":"Wiley","issue":"5","license":[{"start":{"date-parts":[[2026,9,17]],"date-time":"2026-09-17T00:00:00Z","timestamp":1789603200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"},{"start":{"date-parts":[[2026,9,17]],"date-time":"2026-09-17T00:00:00Z","timestamp":1789603200000},"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":["Stress and Health"],"published-print":{"date-parts":[[2026,10]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:p>\n                    The study had two core aims: (1) to identify data\u2010driven sleep\u2013wake timing and 4\u2010week weekend catch\u2010up sleep ratio (WCS ratio) patterns among college students through 28\u2010day objective monitoring; (2) to quantify the combined associations between multidimensional sleep profiles and anxiety symptoms. A two\u2010phase design was used. We recruited 182 undergraduates (mean age\u00a0=\u00a019.3, SD\u00a0=\u00a01.09) for 28\u2010day millimetre\u2010wave radar sleep tracking and psychological tests. Study 1 adopted k\u2010means and DTW time\u2010series clustering, extracting two sleep\u2013wake timing patterns (Post\u2010midnight,\n                    <jats:italic>n<\/jats:italic>\n                    \u00a0=\u00a0161; Pre\u2010midnight,\n                    <jats:italic>n<\/jats:italic>\n                    \u00a0=\u00a021) and two WCS\u2010ratio trajectories (decreasing,\n                    <jats:italic>n<\/jats:italic>\n                    \u00a0=\u00a090; increasing,\n                    <jats:italic>n<\/jats:italic>\n                    \u00a0=\u00a092), regarded as exploratory short\u2010term behavioural patterns. Study 2 performed logistic regression, sensitivity tests, and cumulative indicator analysis. Key results: (1) Poor sleep quality (OR\u00a0=\u00a01.98, 95% CI [1.47, 2.66]), shorter weekday sleep duration (OR\u00a0=\u00a00.52, 95% CI [0.29, 0.92]), pre\u2010midnight sleep timing (OR\u00a0=\u00a09.84, 95% CI [2.01, 48.06]), an increasing WCS\u2010ratio pattern (OR\u00a0=\u00a03.88, 95% CI [1.14, 13.23]), and severe negative life events (OR\u00a0=\u00a06.22, 95% CI [1.24, 31.34]) predicted higher anxiety score. Sleep quality, weekday sleep duration, and life stress remained robust in sensitivity analyses; continuous sleep and WCS indicators showed no stable predictive effects. (2) Cumulative analysis found a non\u2010linear threshold effect: symptoms of anxiety tend to rise when multiple sleep and stress factors co\u2010occur. These findings suggest that monitoring multifaceted sleep\u2010related behaviours, especially their long\u2010term dynamics, may aid in identifying college students with elevated anxiety symptoms.\n                  <\/jats:p>","DOI":"10.1002\/smi.70221","type":"journal-article","created":{"date-parts":[[2026,9,17]],"date-time":"2026-09-17T09:54:38Z","timestamp":1789638878000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Sleep\u2010Timing Types and Weekend Catch\u2010Up Sleep Patterns Associated With Above\u2010Threshold Anxiety Symptoms in College Students: 28\u2010Day Objective Monitoring"],"prefix":"10.1002","volume":"42","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0682-8434","authenticated-orcid":false,"given":"Guangdong","family":"Zhou","sequence":"first","affiliation":[{"name":"Key Research Base of Humanities and Social Sciences of the Ministry of Education, Academy of Psychology and Behavior of Tianjin Normal University  Tianjin China"},{"name":"Tianjin Social Science Laboratory of Students' Mental Development and Learning  Tianjin China"},{"name":"Faculty of Psychology Tianjin Normal University  Tianjin China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-8209-528X","authenticated-orcid":false,"given":"Zitong","family":"Zhang","sequence":"additional","affiliation":[{"name":"Faculty of Psychology Tianjin Normal University  Tianjin China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-1105-8752","authenticated-orcid":false,"given":"Jiangyong","family":"Bu","sequence":"additional","affiliation":[{"name":"Shanghai Songchun Guo Wellness Technology Co., Ltd.  Shanghai China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shan","family":"Gao","sequence":"additional","affiliation":[{"name":"Department of Broadcasting and Hosting Arts School of Journalism and Communication Tianjin Normal University  Tianjin China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2026,9,17]]},"reference":[{"key":"e_1_2_12_2_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.sleep.2024.09.026"},{"key":"e_1_2_12_3_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.smrv.2015.06.003"},{"key":"e_1_2_12_4_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41598\u2010024\u201063939\u20103"},{"key":"e_1_2_12_5_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41746\u2010024\u201001016\u20109"},{"key":"e_1_2_12_6_1","doi-asserted-by":"publisher","DOI":"10.1016\/0165\u20101781(89)90047\u20104"},{"key":"e_1_2_12_7_1","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0292887"},{"key":"e_1_2_12_8_1","doi-asserted-by":"publisher","DOI":"10.1186\/s12889\u2010022\u201013943\u2010x"},{"key":"e_1_2_12_9_1","doi-asserted-by":"publisher","DOI":"10.1002\/jts.20271"},{"key":"e_1_2_12_10_1","doi-asserted-by":"publisher","DOI":"10.3390\/s22197177"},{"key":"e_1_2_12_11_1","doi-asserted-by":"publisher","DOI":"10.3346\/jkms.2025.40.e211"},{"key":"e_1_2_12_12_1","doi-asserted-by":"publisher","DOI":"10.3390\/brainsci13040613"},{"key":"e_1_2_12_13_1","doi-asserted-by":"publisher","DOI":"10.1002\/da.10113"},{"key":"e_1_2_12_14_1","doi-asserted-by":"publisher","DOI":"10.3390\/ijerph20042765"},{"key":"e_1_2_12_15_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.actpsy.2025.105419"},{"key":"e_1_2_12_16_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0140\u20106736(18)32279\u20107"},{"key":"e_1_2_12_17_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jad.2021.06.062"},{"key":"e_1_2_12_18_1","doi-asserted-by":"publisher","DOI":"10.1186\/s12889\u2010025\u201022443\u20107"},{"key":"e_1_2_12_19_1","doi-asserted-by":"publisher","DOI":"10.1093\/sleep\/zsag113"},{"key":"e_1_2_12_20_1","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0083558"},{"key":"e_1_2_12_21_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41598\u2010022\u201014352\u20101"},{"key":"e_1_2_12_22_1","doi-asserted-by":"publisher","DOI":"10.1111\/jsr.14050"},{"key":"e_1_2_12_23_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.sleep.2020.05.030"},{"key":"e_1_2_12_24_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2023.120340"},{"key":"e_1_2_12_25_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.sleep.2021.06.030"},{"key":"e_1_2_12_26_1","doi-asserted-by":"publisher","DOI":"10.1007\/s41105\u2010023\u201000463\u20103"},{"key":"e_1_2_12_27_1","first-page":"34","article-title":"Reliability and Validity Test of the Adolescent Life Events Scale","volume":"5","author":"Liu X. 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