Kavya Koshy, Matthew Gibney, Denise M O'Driscoll, Rowan P Ogeil, Alan C Young
{"title":"影响住院病人睡眠质量的因素。","authors":"Kavya Koshy, Matthew Gibney, Denise M O'Driscoll, Rowan P Ogeil, Alan C Young","doi":"10.1007/s11325-024-03144-8","DOIUrl":null,"url":null,"abstract":"<p><strong>Introduction: </strong>Hospitalised patients are at increased risk of poor sleep quality which can negatively impact on recovery and quality of life. This study aimed to assess sleep quality in hospitalised patients and explore the factors associated with poor sleep.</p><p><strong>Methods: </strong>Prospective data were collected from 84 respiratory ward inpatients at time of discharge using a Likert scale questionnaire on contributing factors to sleep quality. Differences between groups reporting good and poor quality sleep were recorded.</p><p><strong>Results: </strong>Most participants (77%) described inpatient sleep quality to be worse or much worse compared to their home environment. Noise (39%), checking of vital signs (33%) and light (24%) were most frequently identified as factors disrupting sleep. Binary logistic regression analysis demonstrated that men (OR 2.8, CI 1.1-7.4, p = 0.037) and those in shared rooms (OR 3.9, CI 1.4-10.9, p = 0.009) were more likely to be affected by noise. Younger patients (OR 0.92, CI 0.88-0.96, p < 0.001) and those in shared rooms (OR 8.5 CI 1.9-37.9, p < 0.001) were more likely to be affected by light.</p><p><strong>Conclusion: </strong>In conclusion, a high proportion of hospitalised respiratory patients on a medical ward reported poorer sleep quality compared to home due to operational interruptions and noise. Age, gender and room type further modified the sleep disruption. Future research should focus on whether strategies to reduce interruptions and noise will improve sleep quality and clinical outcomes.</p>","PeriodicalId":21862,"journal":{"name":"Sleep and Breathing","volume":" ","pages":"2737-2740"},"PeriodicalIF":2.1000,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11568048/pdf/","citationCount":"0","resultStr":"{\"title\":\"Factors affecting sleep quality in hospitalised patients.\",\"authors\":\"Kavya Koshy, Matthew Gibney, Denise M O'Driscoll, Rowan P Ogeil, Alan C Young\",\"doi\":\"10.1007/s11325-024-03144-8\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Introduction: </strong>Hospitalised patients are at increased risk of poor sleep quality which can negatively impact on recovery and quality of life. This study aimed to assess sleep quality in hospitalised patients and explore the factors associated with poor sleep.</p><p><strong>Methods: </strong>Prospective data were collected from 84 respiratory ward inpatients at time of discharge using a Likert scale questionnaire on contributing factors to sleep quality. Differences between groups reporting good and poor quality sleep were recorded.</p><p><strong>Results: </strong>Most participants (77%) described inpatient sleep quality to be worse or much worse compared to their home environment. Noise (39%), checking of vital signs (33%) and light (24%) were most frequently identified as factors disrupting sleep. Binary logistic regression analysis demonstrated that men (OR 2.8, CI 1.1-7.4, p = 0.037) and those in shared rooms (OR 3.9, CI 1.4-10.9, p = 0.009) were more likely to be affected by noise. Younger patients (OR 0.92, CI 0.88-0.96, p < 0.001) and those in shared rooms (OR 8.5 CI 1.9-37.9, p < 0.001) were more likely to be affected by light.</p><p><strong>Conclusion: </strong>In conclusion, a high proportion of hospitalised respiratory patients on a medical ward reported poorer sleep quality compared to home due to operational interruptions and noise. Age, gender and room type further modified the sleep disruption. Future research should focus on whether strategies to reduce interruptions and noise will improve sleep quality and clinical outcomes.</p>\",\"PeriodicalId\":21862,\"journal\":{\"name\":\"Sleep and Breathing\",\"volume\":\" \",\"pages\":\"2737-2740\"},\"PeriodicalIF\":2.1000,\"publicationDate\":\"2024-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11568048/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Sleep and Breathing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1007/s11325-024-03144-8\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/9/7 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q3\",\"JCRName\":\"CLINICAL NEUROLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Sleep and Breathing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1007/s11325-024-03144-8","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/9/7 0:00:00","PubModel":"Epub","JCR":"Q3","JCRName":"CLINICAL NEUROLOGY","Score":null,"Total":0}
Factors affecting sleep quality in hospitalised patients.
Introduction: Hospitalised patients are at increased risk of poor sleep quality which can negatively impact on recovery and quality of life. This study aimed to assess sleep quality in hospitalised patients and explore the factors associated with poor sleep.
Methods: Prospective data were collected from 84 respiratory ward inpatients at time of discharge using a Likert scale questionnaire on contributing factors to sleep quality. Differences between groups reporting good and poor quality sleep were recorded.
Results: Most participants (77%) described inpatient sleep quality to be worse or much worse compared to their home environment. Noise (39%), checking of vital signs (33%) and light (24%) were most frequently identified as factors disrupting sleep. Binary logistic regression analysis demonstrated that men (OR 2.8, CI 1.1-7.4, p = 0.037) and those in shared rooms (OR 3.9, CI 1.4-10.9, p = 0.009) were more likely to be affected by noise. Younger patients (OR 0.92, CI 0.88-0.96, p < 0.001) and those in shared rooms (OR 8.5 CI 1.9-37.9, p < 0.001) were more likely to be affected by light.
Conclusion: In conclusion, a high proportion of hospitalised respiratory patients on a medical ward reported poorer sleep quality compared to home due to operational interruptions and noise. Age, gender and room type further modified the sleep disruption. Future research should focus on whether strategies to reduce interruptions and noise will improve sleep quality and clinical outcomes.
期刊介绍:
The journal Sleep and Breathing aims to reflect the state of the art in the international science and practice of sleep medicine. The journal is based on the recognition that management of sleep disorders requires a multi-disciplinary approach and diverse perspectives. The initial focus of Sleep and Breathing is on timely and original studies that collect, intervene, or otherwise inform all clinicians and scientists in medicine, dentistry and oral surgery, otolaryngology, and epidemiology on the management of the upper airway during sleep.
Furthermore, Sleep and Breathing endeavors to bring readers cutting edge information about all evolving aspects of common sleep disorders or disruptions, such as insomnia and shift work. The journal includes not only patient studies, but also studies that emphasize the principles of physiology and pathophysiology or illustrate potentially novel approaches to diagnosis and treatment. In addition, the journal features articles that describe patient-oriented and cost-benefit health outcomes research. Thus, with peer review by an international Editorial Board and prompt English-language publication, Sleep and Breathing provides rapid dissemination of clinical and clinically related scientific information. But it also does more: it is dedicated to making the most important developments in sleep disordered breathing easily accessible to clinicians who are treating sleep apnea by presenting well-chosen, well-written, and highly organized information that is useful for patient care.