{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,10]],"date-time":"2026-10-10T02:09:45Z","timestamp":1791598185441,"version":"4.3.4"},"reference-count":59,"publisher":"Wiley","issue":"6","license":[{"start":{"date-parts":[[2023,4,20]],"date-time":"2023-04-20T00:00:00Z","timestamp":1681948800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Nursing in Critical Care"],"published-print":{"date-parts":[[2023,11]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Shift work is inevitable for nurses in intensive care units. Various studies explored nurses' fatigue in multiple hospital wards. However, few studies focused on fatigue among nurses in intensive care units.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Aims<\/jats:title>\n                    <jats:p>To determine the association between shift work schedules, compensatory sleep, work\u2013family conflict, and fatigue of shift\u2010working nurses in critical care units.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Study Design<\/jats:title>\n                    <jats:p>A descriptive cross\u2010sectional multi\u2010center study was conducted in March 2022 among intensive care nurses from five hospitals.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>\n                      Data were collected by online survey, including self\u2010designed demographic questions, the Fatigue Scale\u201014, the Chinese adult daytime sleepiness scale, and the work\u2010family scale. Pearson correlation was conducted for bivariate analysis. Independent\u2010sample\n                      <jats:italic>t<\/jats:italic>\n                      \u2010test, one\u2010way ANOVA, and multiple linear regression analysis were performed to examine fatigue\u2010related variables.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      A total of 326 nurses responded to the survey with an effective response rate of 74.9%. The mean scores of physical fatigue and mental fatigue were 6.80 and 3.72, respectively. The bivariate analyses showed that work\u2013family conflict was positively correlated with physical (\n                      <jats:italic>r<\/jats:italic>\n                      \u2009=\u20090.483,\n                      <jats:italic>p<\/jats:italic>\n                      \u2009&lt;\u2009.001) and mental fatigue (\n                      <jats:italic>r<\/jats:italic>\n                      \u2009=\u20090.406,\n                      <jats:italic>p<\/jats:italic>\n                      \u2009&lt;\u2009.001). Multiple linear regression results showed that work\u2013family conflict, daytime sleepiness, and shift system were statistically significant factors influencing physical fatigue (\n                      <jats:italic>F<\/jats:italic>\n                      \u2009=\u200941.793,\n                      <jats:italic>p<\/jats:italic>\n                      \u2009&lt;\u2009.001). Work\u2013family conflict, sleep duration after the night shift, and daytime sleepiness were the main influencing factors of mental fatigue (\n                      <jats:italic>F<\/jats:italic>\n                      \u2009=\u200925.105,\n                      <jats:italic>p<\/jats:italic>\n                      \u2009&lt;\u2009.001).\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>Nurses with higher work\u2013family conflict, daytime sleepiness, and working 12\u2010h shifts have higher levels of physical fatigue. Higher work\u2013family conflict, shorter sleep duration after night shifts, and daytime sleepiness are associated with higher mental fatigue among intensive care nurses.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Relevance to Clinical Practice<\/jats:title>\n                    <jats:p>Nursing managers and nurses should consider work\u2010family factors and compensatory sleep in their efforts to reduce fatigue. It is necessary to strengthen work\u2010supporting strategies and compensatory sleep guidance for nurses to promote fatigue recovery.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1111\/nicc.12909","type":"journal-article","created":{"date-parts":[[2023,4,20]],"date-time":"2023-04-20T13:20:19Z","timestamp":1681996819000},"page":"948-956","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":31,"title":["Effects of shift work schedules, compensatory sleep, and work\u2013family conflict on fatigue of shift\u2010working nurses in Chinese intensive care units"],"prefix":"10.1111","volume":"28","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8451-9974","authenticated-orcid":false,"given":"Shanshan","family":"Chen","sequence":"first","affiliation":[{"name":"Department of Intensive Care Unit The First Affiliated Hospital of Wenzhou Medical University  Wenzhou 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