{"title":"疫情防控过程中医务人员失眠症患病率:健康行为视角","authors":"Jinhua Sun, Xiaoqing Wang, Liman Jian, Bo Dong","doi":"10.5993/ajhb.47.4.7","DOIUrl":null,"url":null,"abstract":"Objectives: In this study, we investigated the sleep status of medical personnel in selected regions of China during the pandemic years of 2020 to 2022; we also considered their health behavior (HB). Methods: We used a random sampling method to select medical personnel for data collection in Shandong Province and its surrounding areas. For assessment instruments we used the General Situation Questionnaire, Pittsburgh Sleep Quality Index Inventory (PSQI), Self-Assessment Scale for Anxiety (SAS), and Self-Assessment Scale for Depression (SDS). Results: A total of 621 medical personnel participated, with a mean PSQI score of 11.37±3.79. The overall detection rate of insomnia was 88.73%, with 16.79% indicating severe insomnia. The primary sleep disorder among medical staff was daytime dysfunction, followed by difficulty falling asleep, poor sleep quality, and sleep efficiency. Various factors including age, education, position/title, abnormal menstruation, working age, income, night shift, and work intensity significantly influenced sleep quality. Advanced age, higher education, higher position/title, abnormal menstruation, working night shift, and higher work intensity emerged as risk factors; having longer working years was protective. Income was a compound factor affecting sleep. Conclusion: Increasing attention to the sleep situation of medical personnel is crucial, as these factors may impact their HB.","PeriodicalId":2,"journal":{"name":"ACS Applied Bio Materials","volume":null,"pages":null},"PeriodicalIF":4.6000,"publicationDate":"2023-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Prevalence of Insomnia among Medical Staff during the Epidemic Prevention and Control: A Perspective on Health Behavior\",\"authors\":\"Jinhua Sun, Xiaoqing Wang, Liman Jian, Bo Dong\",\"doi\":\"10.5993/ajhb.47.4.7\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Objectives: In this study, we investigated the sleep status of medical personnel in selected regions of China during the pandemic years of 2020 to 2022; we also considered their health behavior (HB). Methods: We used a random sampling method to select medical personnel for data collection in Shandong Province and its surrounding areas. For assessment instruments we used the General Situation Questionnaire, Pittsburgh Sleep Quality Index Inventory (PSQI), Self-Assessment Scale for Anxiety (SAS), and Self-Assessment Scale for Depression (SDS). Results: A total of 621 medical personnel participated, with a mean PSQI score of 11.37±3.79. The overall detection rate of insomnia was 88.73%, with 16.79% indicating severe insomnia. The primary sleep disorder among medical staff was daytime dysfunction, followed by difficulty falling asleep, poor sleep quality, and sleep efficiency. Various factors including age, education, position/title, abnormal menstruation, working age, income, night shift, and work intensity significantly influenced sleep quality. Advanced age, higher education, higher position/title, abnormal menstruation, working night shift, and higher work intensity emerged as risk factors; having longer working years was protective. Income was a compound factor affecting sleep. Conclusion: Increasing attention to the sleep situation of medical personnel is crucial, as these factors may impact their HB.\",\"PeriodicalId\":2,\"journal\":{\"name\":\"ACS Applied Bio Materials\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":4.6000,\"publicationDate\":\"2023-08-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ACS Applied Bio Materials\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5993/ajhb.47.4.7\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"MATERIALS SCIENCE, BIOMATERIALS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Applied Bio Materials","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5993/ajhb.47.4.7","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MATERIALS SCIENCE, BIOMATERIALS","Score":null,"Total":0}
Prevalence of Insomnia among Medical Staff during the Epidemic Prevention and Control: A Perspective on Health Behavior
Objectives: In this study, we investigated the sleep status of medical personnel in selected regions of China during the pandemic years of 2020 to 2022; we also considered their health behavior (HB). Methods: We used a random sampling method to select medical personnel for data collection in Shandong Province and its surrounding areas. For assessment instruments we used the General Situation Questionnaire, Pittsburgh Sleep Quality Index Inventory (PSQI), Self-Assessment Scale for Anxiety (SAS), and Self-Assessment Scale for Depression (SDS). Results: A total of 621 medical personnel participated, with a mean PSQI score of 11.37±3.79. The overall detection rate of insomnia was 88.73%, with 16.79% indicating severe insomnia. The primary sleep disorder among medical staff was daytime dysfunction, followed by difficulty falling asleep, poor sleep quality, and sleep efficiency. Various factors including age, education, position/title, abnormal menstruation, working age, income, night shift, and work intensity significantly influenced sleep quality. Advanced age, higher education, higher position/title, abnormal menstruation, working night shift, and higher work intensity emerged as risk factors; having longer working years was protective. Income was a compound factor affecting sleep. Conclusion: Increasing attention to the sleep situation of medical personnel is crucial, as these factors may impact their HB.