Age, BMI, fall history, malnutrition, and Charlson Comorbidity Index were identified as factors influencing latent classes of depression severity among hemodialysis patients.
Cross-Sectional (n=1,090)
Yes
Depression in hemodialysis patients exhibits heterogeneity, with severity classes influenced by age, BMI, fall history, malnutrition, and comorbidities.
BACKGROUND: Depression is a common mental disorder in hemodialysis patients. The present study aimed to identify subgroups of patients receiving hemodialysis based on depression and explore the influencing factors in a multicenter hemodialysis population in China. METHODS: A total of 1,090 hemodialysis patients (682 men, mean aged 61.5 ± 12.6 years) from 7 facilities in Shanghai of China during 2020-2023. Depression was assessed by Patient Health Questionnaire 9 (PHQ-9). Latent class analysis (LCA) was performed to identify homogeneous groups of depressive symptoms. Analysis of variance and chi-square test were performed to establish class-dependent differences in depression severity. Multinomial logistic regression revealed the associations and related factors on most probable class. RESULTS: = 536, 49.2%). The multinomial logistic regression results indicated that compared with the Class 3, the factors influencing depression in the Class 1 and Class 2 were age, body mass index (BMI), fall history, malnutrition and Charlson Comorbidity Index (CCI) in patients undergoing hemodialysis. CONCLUSIONS: The current study provides evidence for the heterogeneity of depression severity. A better understanding of depression risk factor profiles could help develop targeted prevention and intervention programs for the hemodialysis population.
Chen et al. (Tue,) conducted a cross-sectional in Depression in maintenance hemodialysis (n=1,090). Age, BMI, fall history, malnutrition, and Charlson Comorbidity Index vs. Class 3 depression subgroup was evaluated on Latent classes of depressive symptoms and associated factors. Age, BMI, fall history, malnutrition, and Charlson Comorbidity Index were identified as factors influencing latent classes of depression severity among hemodialysis patients.