{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,30]],"date-time":"2026-07-30T09:13:46Z","timestamp":1785402826991,"version":"3.56.0"},"reference-count":45,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2026,7,30]],"date-time":"2026-07-30T00:00:00Z","timestamp":1785369600000},"content-version":"vor","delay-in-days":210,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["82173542"],"award-info":[{"award-number":["82173542"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["82504429"],"award-info":[{"award-number":["82504429"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002947","name":"Anhui Medical University","doi-asserted-by":"publisher","award":["hlpy20210009"],"award-info":[{"award-number":["hlpy20210009"]}],"id":[{"id":"10.13039\/501100002947","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003995","name":"Natural Science Foundation of Anhui Province","doi-asserted-by":"publisher","award":["2408085QH278"],"award-info":[{"award-number":["2408085QH278"]}],"id":[{"id":"10.13039\/501100003995","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Depression and Anxiety"],"published-print":{"date-parts":[[2026,1]]},"abstract":"<jats:sec>\n                    <jats:title>Objective<\/jats:title>\n                    <jats:p>Relatively few population\u2010based studies have explored the relationship between shift work patterns and anxiety\u2013depression comorbidity among nurses. This study aimed to identify different patterns of nurse shift work and assess their association with anxiety\u2013depression comorbidity.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Design<\/jats:title>\n                    <jats:p>This study was based on the Nurses\u2019 Environmental and Occupational Exposure and Health Nexus (NEON) cohort. A self\u2010designed questionnaire was used to collect general demographic information and shift work details. Anxiety and depressive symptoms were evaluated using the generalized anxiety disorder\u20107 (GAD\u20107) and the patient health questionnaire\u20109 (PHQ\u20109), respectively. Latent class analysis (LCA) was performed to identify homogeneous groups of shift work. A three\u2010step approach of LCA, involving logistic regression models, was applied to examine associations between various shift patterns and anxiety\u2013depression comorbidity. Sleep quality served as a stratification factor for the subgroups.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      Three latent classes were identified among 2791 shift nurses: Class 1: high\u2010frequency, high\u2010seniority group (\n                      <jats:italic>N<\/jats:italic>\n                      \u2009=\u2009441, 15.80%); Class 2: low\u2010frequency, low\u2010seniority group (\n                      <jats:italic>N<\/jats:italic>\n                      \u2009=\u2009835, 29.92%); Class 3: low\u2010frequency, high\u2010seniority group (\n                      <jats:italic>N<\/jats:italic>\n                      \u2009=\u20091515, 54.28%). Binary logistic regression analysis showed that, compared with Class 2, Class 3 had increased risks of anxiety, depression, and comorbid anxiety and depression by 54.8% (OR\u2009=\u20091.548, 95% CI 1.304\u20131.838), 30.6% (OR\u2009=\u20091.306, 95% CI 1.096\u20131.555), and 47.6% (OR\u2009=\u20091.476, 95% CI 1.245\u20131.749), respectively. Moreover, Class 1 had the highest risk of these conditions in both unadjusted and adjusted models. Sleep quality had no significant modifying effect.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>This study identified distinct patterns in nurses\u2019 shift work. Different patterns were significantly associated with anxiety\u2013depression comorbidity. Targeted interventions addressing specific shift patterns may improve nurses\u2019 mental health and contribute to achieving broader health goals.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1155\/da\/8160605","type":"journal-article","created":{"date-parts":[[2026,7,30]],"date-time":"2026-07-30T08:35:52Z","timestamp":1785400552000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Latent Class Analysis of Shift Work Patterns Among Nurses and Its Impact on Anxiety\u2013Depression Comorbidity: A Multicenter Cross\u2010Sectional 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