{"title":"连续非卧床腹膜透析患者疲劳发生率及影响因素:一项横断面研究。","authors":"Surachai Maninet, Bangaorn Nakrit, Phasuk Suttavat","doi":"10.33546/bnj.2715","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Fatigue is one of the most commonly reported symptoms among patients undergoing continuous ambulatory peritoneal dialysis (CAPD). However, only a few studies have addressed the prevalence of fatigue and its influencing factors within this population in Thailand.</p><p><strong>Objective: </strong>This study aimed to explore the prevalence of fatigue and its influencing factors, including duration of CAPD initiation, body mass index, insomnia, social support, functional status, and depression among patients undergoing CAPD.</p><p><strong>Methods: </strong>This cross-sectional study involved 136 participants from the outpatient department of a general hospital in Thailand. Data were collected from January to March 2023, utilizing validated self-reported questionnaires, which included the Center for Epidemiologic Study Depression Scale, Insomnia Severity Index, Multidimensional Scale of Perceived Social Support, Functional Status Scale, and Fatigue Severity Scale. Data were analyzed using descriptive statistics, Pearson's product-moment correlation, and Stepwise multiple regressions.</p><p><strong>Results: </strong>The study achieved a 100% participation rate among the selected participants. The prevalence of fatigue among patients undergoing CAPD was 55.88%, including mild fatigue (20.59%), moderate fatigue (19.85%), and severe fatigue (15.44%). Bivariate analysis indicated that fatigue-related factors were insomnia, depression, body mass index, social support, and functional status. However, the multiple regression analysis revealed that only insomnia (β = 0.399, <i>p</i> <0.001), social support (β = -0.302, <i>p</i> <0.001), depression (β = 0.201, <i>p</i> = 0.003), and functional status (β = -0.149, <i>p</i> = 0.021) jointly influenced fatigue among patients undergoing CAPD, explaining 50.10 percent of the variance (R<sup>2</sup> = 0.501, F<sub>(4, 131)</sub> = 32.871, <i>p</i> <0.001).</p><p><strong>Conclusion: </strong>The findings indicated that more than half of the participants experienced fatigue. Insomnia, social support, depression, and functional status emerged as significant predictive factors of fatigue. Therefore, it is advisable for nurses and other healthcare providers to evaluate fatigue and its associated factors routinely. Nursing interventions to alleviate fatigue should prioritize improvements in sleep quality, reduction of depression, preservation of functional status, and promotion of family engagement.</p>","PeriodicalId":42002,"journal":{"name":"Belitung Nursing Journal","volume":null,"pages":null},"PeriodicalIF":1.1000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/f3/34/BNJ-9-4-391.PMC10461161.pdf","citationCount":"0","resultStr":"{\"title\":\"Prevalence and influencing factors of fatigue among patients undergoing continuous ambulatory peritoneal dialysis: A cross-sectional study.\",\"authors\":\"Surachai Maninet, Bangaorn Nakrit, Phasuk Suttavat\",\"doi\":\"10.33546/bnj.2715\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Fatigue is one of the most commonly reported symptoms among patients undergoing continuous ambulatory peritoneal dialysis (CAPD). However, only a few studies have addressed the prevalence of fatigue and its influencing factors within this population in Thailand.</p><p><strong>Objective: </strong>This study aimed to explore the prevalence of fatigue and its influencing factors, including duration of CAPD initiation, body mass index, insomnia, social support, functional status, and depression among patients undergoing CAPD.</p><p><strong>Methods: </strong>This cross-sectional study involved 136 participants from the outpatient department of a general hospital in Thailand. Data were collected from January to March 2023, utilizing validated self-reported questionnaires, which included the Center for Epidemiologic Study Depression Scale, Insomnia Severity Index, Multidimensional Scale of Perceived Social Support, Functional Status Scale, and Fatigue Severity Scale. Data were analyzed using descriptive statistics, Pearson's product-moment correlation, and Stepwise multiple regressions.</p><p><strong>Results: </strong>The study achieved a 100% participation rate among the selected participants. The prevalence of fatigue among patients undergoing CAPD was 55.88%, including mild fatigue (20.59%), moderate fatigue (19.85%), and severe fatigue (15.44%). Bivariate analysis indicated that fatigue-related factors were insomnia, depression, body mass index, social support, and functional status. However, the multiple regression analysis revealed that only insomnia (β = 0.399, <i>p</i> <0.001), social support (β = -0.302, <i>p</i> <0.001), depression (β = 0.201, <i>p</i> = 0.003), and functional status (β = -0.149, <i>p</i> = 0.021) jointly influenced fatigue among patients undergoing CAPD, explaining 50.10 percent of the variance (R<sup>2</sup> = 0.501, F<sub>(4, 131)</sub> = 32.871, <i>p</i> <0.001).</p><p><strong>Conclusion: </strong>The findings indicated that more than half of the participants experienced fatigue. Insomnia, social support, depression, and functional status emerged as significant predictive factors of fatigue. Therefore, it is advisable for nurses and other healthcare providers to evaluate fatigue and its associated factors routinely. 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引用次数: 0
摘要
背景:疲劳是连续动态腹膜透析(CAPD)患者最常见的症状之一。然而,只有少数研究涉及泰国这一人群的疲劳患病率及其影响因素。目的:本研究旨在探讨CAPD患者的疲劳患病率及其影响因素,包括CAPD起始时间、体重指数、失眠、社会支持、功能状态和抑郁。方法:这项横断面研究涉及泰国一家综合医院门诊部的136名参与者。数据收集于2023年1月至3月,采用有效的自我报告问卷,包括流行病学研究中心抑郁量表、失眠严重程度指数、感知社会支持多维量表、功能状态量表和疲劳严重程度量表。数据分析采用描述性统计、Pearson积差相关和逐步多元回归。结果:入选受试者的参与率达到100%。CAPD患者的疲劳患病率为55.88%,包括轻度疲劳(20.59%)、中度疲劳(19.85%)和重度疲劳(15.44%)。双变量分析显示,与疲劳相关的因素有失眠、抑郁、体重指数、社会支持和功能状态。然而,多元回归分析显示,只有失眠(β = 0.399, p = 0.003)和功能状态(β = -0.149, p = 0.021)共同影响CAPD患者的疲劳,解释了50.10%的方差(R2 = 0.501, F(4,131) = 32.871, p)。失眠、社会支持、抑郁和功能状态是疲劳的重要预测因素。因此,建议护士和其他医疗保健提供者定期评估疲劳及其相关因素。缓解疲劳的护理干预应优先改善睡眠质量,减少抑郁,保持功能状态,促进家庭参与。
Prevalence and influencing factors of fatigue among patients undergoing continuous ambulatory peritoneal dialysis: A cross-sectional study.
Background: Fatigue is one of the most commonly reported symptoms among patients undergoing continuous ambulatory peritoneal dialysis (CAPD). However, only a few studies have addressed the prevalence of fatigue and its influencing factors within this population in Thailand.
Objective: This study aimed to explore the prevalence of fatigue and its influencing factors, including duration of CAPD initiation, body mass index, insomnia, social support, functional status, and depression among patients undergoing CAPD.
Methods: This cross-sectional study involved 136 participants from the outpatient department of a general hospital in Thailand. Data were collected from January to March 2023, utilizing validated self-reported questionnaires, which included the Center for Epidemiologic Study Depression Scale, Insomnia Severity Index, Multidimensional Scale of Perceived Social Support, Functional Status Scale, and Fatigue Severity Scale. Data were analyzed using descriptive statistics, Pearson's product-moment correlation, and Stepwise multiple regressions.
Results: The study achieved a 100% participation rate among the selected participants. The prevalence of fatigue among patients undergoing CAPD was 55.88%, including mild fatigue (20.59%), moderate fatigue (19.85%), and severe fatigue (15.44%). Bivariate analysis indicated that fatigue-related factors were insomnia, depression, body mass index, social support, and functional status. However, the multiple regression analysis revealed that only insomnia (β = 0.399, p <0.001), social support (β = -0.302, p <0.001), depression (β = 0.201, p = 0.003), and functional status (β = -0.149, p = 0.021) jointly influenced fatigue among patients undergoing CAPD, explaining 50.10 percent of the variance (R2 = 0.501, F(4, 131) = 32.871, p <0.001).
Conclusion: The findings indicated that more than half of the participants experienced fatigue. Insomnia, social support, depression, and functional status emerged as significant predictive factors of fatigue. Therefore, it is advisable for nurses and other healthcare providers to evaluate fatigue and its associated factors routinely. Nursing interventions to alleviate fatigue should prioritize improvements in sleep quality, reduction of depression, preservation of functional status, and promotion of family engagement.