{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,15]],"date-time":"2025-12-15T05:29:56Z","timestamp":1765776596828,"version":"3.48.0"},"reference-count":23,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2025,12,15]],"date-time":"2025-12-15T00:00:00Z","timestamp":1765756800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Public Health"],"abstract":"<jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Anesthesiologists face high risks of occupational burnout, anxiety, and sleep disorders. Significant subspecialization within the field suggests different specialties may constitute distinct stressors, but whether this leads to systematic variations in mental health outcomes remains unclear.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Objective<\/jats:title>\n                    <jats:p>This study aimed to investigate the association between different anesthesia subspecialties and the levels of anxiety, depression, and sleep quality among anesthesiologists.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>\n                      A multi-center cross-sectional study was conducted. Eighty-five anesthesiologists from four tertiary Grade A general hospitals completed the Generalized Anxiety Disorder-7 (GAD-7), Patient Health Questionnaire-9 (PHQ-9), and Pittsburgh Sleep Quality Index (PSQI) questionnaires. Retrospective work data were extracted from departmental systems. Statistical analyses included one-way ANOVA, Tukey's Honest Significant Difference (HSD)\n                      <jats:italic>post-hoc<\/jats:italic>\n                      tests, and multiple linear regression controlling for key covariates.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      Significant differences were found in GAD-7 (\n                      <jats:italic>F<\/jats:italic>\n                      = 4.32,\n                      <jats:italic>p<\/jats:italic>\n                      &amp;lt; 0.01), PHQ-9 (\n                      <jats:italic>F<\/jats:italic>\n                      = 4.98,\n                      <jats:italic>p<\/jats:italic>\n                      &amp;lt; 0.001), and PSQI (\n                      <jats:italic>F<\/jats:italic>\n                      = 5.18,\n                      <jats:italic>p<\/jats:italic>\n                      &amp;lt; 0.001) scores across subspecialties. Multiple linear regression, adjusting for weekly overtime, monthly night shifts, age, experience, and gender, confirmed that the primary subspecialty was independently associated with anxiety (\u03b2 = 0.35,\n                      <jats:italic>p<\/jats:italic>\n                      = 0.003), depression (\u03b2 = 0.38,\n                      <jats:italic>p<\/jats:italic>\n                      = 0.001), and poor sleep quality (\u03b2 = 0.41,\n                      <jats:italic>p<\/jats:italic>\n                      &amp;lt; 0.001).\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>The anesthesia subspecialties in which an anesthesiologist works is independently associated with the risk of anxiety, depression, and sleep disturbances. These findings suggest that targeted support strategies should be considered for anesthesiologists in high-stress subspecialties such as cardiothoracic and pediatric anesthesia.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.3389\/fpubh.2025.1733167","type":"journal-article","created":{"date-parts":[[2025,12,15]],"date-time":"2025-12-15T05:25:17Z","timestamp":1765776317000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Impact of different anesthesia subspecialties on anxiety levels and sleep quality among anesthesiologists: a cross-sectional study"],"prefix":"10.3389","volume":"13","author":[{"given":"Bo","family":"Song","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhu","family":"Wen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ying-hao","family":"Guo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hong-xia","family":"He","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kun","family":"Peng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jun","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1965","published-online":{"date-parts":[[2025,12,15]]},"reference":[{"key":"B1","first-page":"5","article-title":"Occupational burnout and the development of anesthesia department in China: a call for action","volume":"36","author":"Li","year":"2016","journal-title":"Chinese J Anesthesiol."},{"key":"B2","doi-asserted-by":"publisher","first-page":"683","DOI":"10.1097\/ALN.0000000000003722","article-title":"Burnout rate and risk factors among anesthesiologists in the United States","volume":"134","author":"Afonso","year":"2021","journal-title":"Anesthesiology."},{"key":"B3","doi-asserted-by":"publisher","first-page":"193","DOI":"10.1016\/0165-1781(89)90047-4","article-title":"The Pittsburgh Sleep Quality Index: a new instrument for psychiatric practice and research","volume":"28","author":"Buysse","year":"1989","journal-title":"Psychiatry Res"},{"key":"B4","doi-asserted-by":"publisher","first-page":"1131","DOI":"10.1001\/jama.2018.12777","article-title":"Prevalence of burnout among physicians: a systematic review","volume":"320","author":"Rotenstein","year":"2018","journal-title":"JAMA"},{"key":"B5","doi-asserted-by":"publisher","first-page":"182","DOI":"10.1213\/ANE.0b013e3182917da9","article-title":"The prevalence of burnout and depression and their association with adherence to safety and practice standards: a survey of United States anesthesiology trainees","volume":"117","author":"de Oliveira","year":"2013","journal-title":"Anesth Analg."},{"key":"B6","doi-asserted-by":"publisher","first-page":"499","DOI":"10.1037\/\/0021-9010.86.3.499","article-title":"The job demands-resources model of burnout","volume":"86","author":"Demerouti","year":"2001","journal-title":"J Appl Psychol"},{"key":"B7","doi-asserted-by":"publisher","first-page":"2272","DOI":"10.1016\/S0140-6736(16)31279-X","article-title":"Interventions to prevent and reduce physician burnout: a systematic review and meta-analysis","volume":"388","author":"West","year":"2016","journal-title":"Lancet."},{"key":"B8","doi-asserted-by":"publisher","first-page":"596","DOI":"10.1213\/ANE.0b013e318227524e","article-title":"The impact of perioperative catastrophes on anesthesiologists: results of a national survey","volume":"114","author":"Gazoni","year":"2012","journal-title":"Anesth Analg."},{"key":"B9","doi-asserted-by":"publisher","first-page":"301","DOI":"10.1136\/oemed-2016-104015","article-title":"Can work make you mentally ill? 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