{"title":"埃塞俄比亚西北部Debre Markos转诊医院糖尿病、高血压和心力衰竭患者的睡眠质量及其相关因素","authors":"Afework Edmealem, Sr Genet Degu, Dessalegn Haile, Mihretie Gedfew, Bekalu Bewket, Atsedemariam Andualem","doi":"10.1155/2020/6125845","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Chronic illnesses have a negative impact on the quality of sleep; however, patients with chronic illness do not bring sleep issues while they are coming to a health institution for a follow-up. As a result, poor sleep quality among patients with chronic illness is often unrecognized and untreated, and it results to a negative impact on the prognosis of chronic illness.</p><p><strong>Methods: </strong>An institutional-based cross-sectional study design was employed from February 22, 2018, to April 6, 2018. The total sample size was 396. The study employed a stratified random sampling technique, and study participants were selected by systematic sampling. The data were collected by a Pittsburgh Sleep Quality Index (PSQI) questionnaire which is a validated and standardized tool. The data were analyzed by SPSS version 25; text, tables, and figures were utilized for data presentation. By considering a 95% confidence level and <i>P</i> value of 0.05, binary logistic regression and Kruskal-Wallis test were enrolled.</p><p><strong>Results: </strong>The prevalence of poor sleep quality among diabetes, hypertension, and heart failure patients was 36.5%. The odds of being a poor sleeper are increased when age increased. Patients who have poor perception towards the prognosis of their illness were four times more likely to be a poor sleeper compared to patients with good perception (AOR = 4.21, 95%CI = 1.94-9.13, <i>P</i> = 0.001). Patients who have anxiety were four times more likely to be a poor sleeper compared with patients without anxiety (AOR = 3.69, 95%CI = 2.19-6.20, <i>P</i> = 0.001). The educational level and residence were other factors associated with sleep quality. There was a statistically significant difference of sleep quality between patients with diabetes and hypertension, and diabetes and heart failure (<i>F</i> (2, 384) = 10.92, <i>P</i> = 0.004). <i>Conclusion and Recommendations</i>. In this study, over one-third of patients had poor sleep quality. Age, educational level, residence, perception towards prognosis of illness, and anxiety were factors associated with sleep quality. All health care providers should assess and provide advice about sleep hygiene and influencing factors. Assessment of sleep quality for every diabetes, hypertension, and heart failure patients in every visit should be incorporated in the care package.</p>","PeriodicalId":30275,"journal":{"name":"Sleep Disorders","volume":"2020 ","pages":"6125845"},"PeriodicalIF":0.0000,"publicationDate":"2020-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1155/2020/6125845","citationCount":"12","resultStr":"{\"title\":\"Sleep Quality and Associated Factors among Diabetes, Hypertension, and Heart Failure Patients at Debre Markos Referral Hospital, Northwest Ethiopia.\",\"authors\":\"Afework Edmealem, Sr Genet Degu, Dessalegn Haile, Mihretie Gedfew, Bekalu Bewket, Atsedemariam Andualem\",\"doi\":\"10.1155/2020/6125845\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Chronic illnesses have a negative impact on the quality of sleep; however, patients with chronic illness do not bring sleep issues while they are coming to a health institution for a follow-up. As a result, poor sleep quality among patients with chronic illness is often unrecognized and untreated, and it results to a negative impact on the prognosis of chronic illness.</p><p><strong>Methods: </strong>An institutional-based cross-sectional study design was employed from February 22, 2018, to April 6, 2018. The total sample size was 396. The study employed a stratified random sampling technique, and study participants were selected by systematic sampling. The data were collected by a Pittsburgh Sleep Quality Index (PSQI) questionnaire which is a validated and standardized tool. The data were analyzed by SPSS version 25; text, tables, and figures were utilized for data presentation. By considering a 95% confidence level and <i>P</i> value of 0.05, binary logistic regression and Kruskal-Wallis test were enrolled.</p><p><strong>Results: </strong>The prevalence of poor sleep quality among diabetes, hypertension, and heart failure patients was 36.5%. The odds of being a poor sleeper are increased when age increased. Patients who have poor perception towards the prognosis of their illness were four times more likely to be a poor sleeper compared to patients with good perception (AOR = 4.21, 95%CI = 1.94-9.13, <i>P</i> = 0.001). Patients who have anxiety were four times more likely to be a poor sleeper compared with patients without anxiety (AOR = 3.69, 95%CI = 2.19-6.20, <i>P</i> = 0.001). The educational level and residence were other factors associated with sleep quality. There was a statistically significant difference of sleep quality between patients with diabetes and hypertension, and diabetes and heart failure (<i>F</i> (2, 384) = 10.92, <i>P</i> = 0.004). <i>Conclusion and Recommendations</i>. In this study, over one-third of patients had poor sleep quality. Age, educational level, residence, perception towards prognosis of illness, and anxiety were factors associated with sleep quality. All health care providers should assess and provide advice about sleep hygiene and influencing factors. Assessment of sleep quality for every diabetes, hypertension, and heart failure patients in every visit should be incorporated in the care package.</p>\",\"PeriodicalId\":30275,\"journal\":{\"name\":\"Sleep Disorders\",\"volume\":\"2020 \",\"pages\":\"6125845\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-05-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1155/2020/6125845\",\"citationCount\":\"12\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Sleep Disorders\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1155/2020/6125845\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2020/1/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Sleep Disorders","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1155/2020/6125845","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2020/1/1 0:00:00","PubModel":"eCollection","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 12
摘要
背景:慢性疾病对睡眠质量有负面影响;然而,患有慢性疾病的患者在到卫生机构进行随访时不会带来睡眠问题。因此,慢性疾病患者的睡眠质量差往往不被认识和治疗,从而对慢性疾病的预后产生负面影响。方法:2018年2月22日至2018年4月6日采用基于机构的横断面研究设计。总样本量为396。本研究采用分层随机抽样的方法,采用系统抽样的方法选择研究对象。数据通过匹兹堡睡眠质量指数(PSQI)问卷收集,该问卷是一种经过验证和标准化的工具。数据采用SPSS 25版分析;采用文字、表格和图形进行数据展示。采用95%置信水平,P值为0.05,采用二元logistic回归和Kruskal-Wallis检验。结果:糖尿病、高血压和心力衰竭患者中睡眠质量差的患病率为36.5%。随着年龄的增长,睡眠质量差的几率也会增加。对疾病预后认知差的患者睡眠质量差的可能性是认知良好的患者的4倍(AOR = 4.21, 95%CI = 1.94-9.13, P = 0.001)。焦虑患者睡眠质量差的可能性是无焦虑患者的4倍(AOR = 3.69, 95%CI = 2.19-6.20, P = 0.001)。受教育程度和居住地是影响睡眠质量的其他因素。糖尿病合并高血压、糖尿病合并心力衰竭患者的睡眠质量差异有统计学意义(F (2,384) = 10.92, P = 0.004)。结论和建议。在这项研究中,超过三分之一的患者睡眠质量差。年龄、受教育程度、居住地、对疾病预后的认知和焦虑是影响睡眠质量的因素。所有卫生保健提供者应评估并提供有关睡眠卫生和影响因素的建议。糖尿病、高血压和心力衰竭患者每次就诊时的睡眠质量评估应纳入护理包。
Sleep Quality and Associated Factors among Diabetes, Hypertension, and Heart Failure Patients at Debre Markos Referral Hospital, Northwest Ethiopia.
Background: Chronic illnesses have a negative impact on the quality of sleep; however, patients with chronic illness do not bring sleep issues while they are coming to a health institution for a follow-up. As a result, poor sleep quality among patients with chronic illness is often unrecognized and untreated, and it results to a negative impact on the prognosis of chronic illness.
Methods: An institutional-based cross-sectional study design was employed from February 22, 2018, to April 6, 2018. The total sample size was 396. The study employed a stratified random sampling technique, and study participants were selected by systematic sampling. The data were collected by a Pittsburgh Sleep Quality Index (PSQI) questionnaire which is a validated and standardized tool. The data were analyzed by SPSS version 25; text, tables, and figures were utilized for data presentation. By considering a 95% confidence level and P value of 0.05, binary logistic regression and Kruskal-Wallis test were enrolled.
Results: The prevalence of poor sleep quality among diabetes, hypertension, and heart failure patients was 36.5%. The odds of being a poor sleeper are increased when age increased. Patients who have poor perception towards the prognosis of their illness were four times more likely to be a poor sleeper compared to patients with good perception (AOR = 4.21, 95%CI = 1.94-9.13, P = 0.001). Patients who have anxiety were four times more likely to be a poor sleeper compared with patients without anxiety (AOR = 3.69, 95%CI = 2.19-6.20, P = 0.001). The educational level and residence were other factors associated with sleep quality. There was a statistically significant difference of sleep quality between patients with diabetes and hypertension, and diabetes and heart failure (F (2, 384) = 10.92, P = 0.004). Conclusion and Recommendations. In this study, over one-third of patients had poor sleep quality. Age, educational level, residence, perception towards prognosis of illness, and anxiety were factors associated with sleep quality. All health care providers should assess and provide advice about sleep hygiene and influencing factors. Assessment of sleep quality for every diabetes, hypertension, and heart failure patients in every visit should be incorporated in the care package.
期刊介绍:
Sleep Disorders is a peer-reviewed, Open Access journal that publishes original research articles, review articles, and clinical studies related to all aspects of sleep disorders.