Latent profile analysis identifying symptom clusters of fatigue, sleep disturbance, pain, and anxiety and their associations with health-related quality of life and self-efficacy in patients undergoing peritoneal dialysis: a cross-sectional study

BACKGROUND: Peritoneal dialysis patients experience a high burden of co-occurring symptoms that impair health-related quality of life and self-efficacy. This study applied latent profile analysis to identify distinct symptom profiles of fatigue, sleep disturbance, pain, and anxiety and to examine factors associated with profile membership and their associations with patient-reported outcomes. METHODS: In this cross-sectional study conducted from January to October 2025, 308 peritoneal dialysis patients from a tertiary hospital in Shantou, China, completed the Multidimensional Fatigue Inventory-20, Athens Insomnia Scale, Numerical Rating Scale, Zung Self-Rating Anxiety Scale, 36-Item Short Form Health Survey, and Chronic Disease Self-Efficacy Scale. Latent profile analysis was performed using Mplus 8.3. Factors associated with profile membership were examined using exploratory three-step analyses (R3STEP), and differences in health-related quality of life and self-efficacy across profiles were compared using the BCH approach. RESULTS: Three profiles were identified: Low symptom distress (n = 182, 59.1%), Moderate symptom distress (n = 57, 18.5%), and High symptom distress (n = 69, 22.4%). In exploratory R3STEP analyses accounting for classification uncertainty, higher phosphorus was associated with greater odds of membership in the moderate and high symptom distress profiles relative to the low symptom distress profile, while BMI showed a borderline association. BCH analyses further showed significant differences across profiles in physical and mental health-related quality of life and self-efficacy, with the high symptom distress profile showing the poorest outcomes. CONCLUSIONS: Three clinically meaningful symptom profiles exist among peritoneal dialysis patients. Higher symptom distress was associated with poorer health-related quality of life and lower self-efficacy, and exploratory three-step analyses suggested that phosphorus may be an exploratory correlate of membership in the moderate and high symptom distress profiles. These findings suggest that symptom cluster-based screening may help identify peritoneal dialysis patients with greater supportive care needs and may inform future multidisciplinary management strategies.

Authors

Institutions

Publication Details

Journal
Health and Quality of Life Outcomes
Published
2026-05-21
DOI
https://doi.org/10.1186/s12955-026-02547-3
Primary Topic
Dialysis and Renal Disease Management
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Latent profile analysis identifying symptom clusters of fatigue, sleep disturbance, pain, and anxiety and their associations with health-related quality of life and self-efficacy in patients undergoing peritoneal dialysis: a cross-sectional study

陈惜遂, Chaona Ji, Dandan Zhang, Mingyi Xiao et al.
Health and Quality of Life Outcomes
Dialysis and Renal Disease Management
article

Latent profile analysis identifying symptom clusters of fatigue, sleep disturbance, pain, and anxiety and their associations with health-related quality of life and self-efficacy in patients undergoing peritoneal dialysis: a cross-sectional study

陈惜遂, Chaona Ji, Dandan Zhang, Mingyi Xiao, Yuzhen Fang, Yiting Zeng
article en

Abstract

BACKGROUND: Peritoneal dialysis patients experience a high burden of co-occurring symptoms that impair health-related quality of life and self-efficacy. This study applied latent profile analysis to identify distinct symptom profiles of fatigue, sleep disturbance, pain, and anxiety and to examine factors associated with profile membership and their associations with patient-reported outcomes. METHODS: In this cross-sectional study conducted from January to October 2025, 308 peritoneal dialysis patients from a tertiary hospital in Shantou, China, completed the Multidimensional Fatigue Inventory-20, Athens Insomnia Scale, Numerical Rating Scale, Zung Self-Rating Anxiety Scale, 36-Item Short Form Health Survey, and Chronic Disease Self-Efficacy Scale. Latent profile analysis was performed using Mplus 8.3. Factors associated with profile membership were examined using exploratory three-step analyses (R3STEP), and differences in health-related quality of life and self-efficacy across profiles were compared using the BCH approach. RESULTS: Three profiles were identified: Low symptom distress (n = 182, 59.1%), Moderate symptom distress (n = 57, 18.5%), and High symptom distress (n = 69, 22.4%). In exploratory R3STEP analyses accounting for classification uncertainty, higher phosphorus was associated with greater odds of membership in the moderate and high symptom distress profiles relative to the low symptom distress profile, while BMI showed a borderline association. BCH analyses further showed significant differences across profiles in physical and mental health-related quality of life and self-efficacy, with the high symptom distress profile showing the poorest outcomes. CONCLUSIONS: Three clinically meaningful symptom profiles exist among peritoneal dialysis patients. Higher symptom distress was associated with poorer health-related quality of life and lower self-efficacy, and exploratory three-step analyses suggested that phosphorus may be an exploratory correlate of membership in the moderate and high symptom distress profiles. These findings suggest that symptom cluster-based screening may help identify peritoneal dialysis patients with greater supportive care needs and may inform future multidisciplinary management strategies.

Health and Quality of Life Outcomes
Shantou University (CN), First Affiliated Hospital of Shantou University Medical College (CN), Shantou University Medical College (CN)
Openalex Percentile: Top 6%
Dialysis and Renal Disease Management
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.