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Heterogeneity and influencing factors of sleep quality in patients receiving maintenance hemodialysis: a latent profile analysis

Published on Mar. 29, 2024Total Views: 1153 timesTotal Downloads: 641 timesDownloadMobile

Author: FAN Hui 1 YI Xiang 2 WANG Guoqing 2

Affiliation: 1. Department of Internal Medicine, Renmin Hospital of Wuhan University, Wuhan 430060, China 2. Department of Hemodialysis Center, Renmin Hospital of Wuhan University, Wuhan 430060, China

Keywords: Maintenance hemodialysis Sleep quality Latent profile analysis Family function Hope

DOI: 10.12173/j.issn.1004-5511.202312151

Reference: Fan H, Yi X, Wang GQ. Heterogeneity of sleep quality in patients receiving maintenance hemodialysis: a latent profile analysis [J]. Yixue Xinzhi Zazhi, 2024, 34(3): 260-266. DOI: 10.12173/j.issn.1004-5511.202312151.[Article in Chinese]

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Abstract

Objective  To explore the potential classification of sleep quality in patients with maintenance hemodialysis and analyze the influencing factors of sleep quality in patients with different characteristics.

Methods  Patients with maintenance hemodialysis from two Grade 3A hospitals were investigated by using Athens Insomnia Scale, Family APGAR Index and Herth Hope Index. Latent profile analysis was used to test heterogeneity, and binary Logistic analysis was used to evaluate the in fluencing factors of different types of sleeping quality.

Results  277 patients with maintenance hemodialysis were included in the research. The sleep quality of patients was classified into two potential categories, no or light sleep disorder (67.0%) and significant sleep disorder (33.0%). Binary Logistic regression analysis results showed that family function[OR=0.785, 95%CI(0.688, 0.895), P<0.001] and hope[OR=0.855, 95%CI(0.807, 0.906), P<0.001] were the factors influencing the potential classification of sleep quality in patients with maintenance hemodialysis.

Conclusion  There were two potential categories of sleep quality in patients with maintenance hemodialysis. Medical staff should pay attention to the characteristics of sleep quality and its influencing factors of different patients, and carry out targeted clinical guidance and intervention to improve their sleep quality.

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References

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