Prevalence and influencing factors of fatigue among patients undergoing continuous ambulatory peritoneal dialysis: A cross-sectional study
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Keywords

fatigue
insomnia
social support
depression
continuous ambulatory peritoneal dialysis
body mass index
functional status
Thailand

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Maninet, S., Nakrit, B., & Suttavat, P. (2023). Prevalence and influencing factors of fatigue among patients undergoing continuous ambulatory peritoneal dialysis: A cross-sectional study. Belitung Nursing Journal, 9(4), 391–398. https://doi.org/10.33546/bnj.2715
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Accepted for publication: 2023-08-08
Peer reviewed: Yes

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Abstract

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.

https://doi.org/10.33546/bnj.2715
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Copyright (c) 2023 Surachai Maninet, Bangaorn Nakrit, Phasuk Suttavat

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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

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Declaration of Conflicting Interest

The authors declared no potential conflict of interest in this study.

Acknowledgment

The authors sincerely thank the entire staff of the chronic kidney disease clinic at Nakhon Nayok Hospital, Thailand, for their support throughout the research study. Heartfelt appreciation is also directed towards the experts who provided invaluable insights and guidance during the validation process of the research instruments. Most importantly, the authors sincerely appreciate the patients undergoing continuous ambulatory peritoneal dialysis, whose voluntary participation in the research activities made this study achievable.

Authors’ Contributions

SM contributed to the conception of the study, literature search, data analysis and interpretation, drafting and writing the manuscript, and overall supervision. BN and PS contributed to the conception of the study, data collection, and drafting of the manuscript. All authors contributed to the critical revision of the manuscript and approved the submitted and published versions.

Data Availability

The dataset generated during and analyzed during the current study is available from the corresponding author upon reasonable request.

Declaration of Use of AI in Scientific Writing

Nothing to declare.


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