Predictors of self-regulation fatigue patterns in patients before total knee arthroplasty: A cross-sectional study

Background: Patients with total knee arthroplasty encounter stressful events that consume their coping resources, resulting in self-control fatigue. Few studies have focused on this phenomenon. Aim: To identify subgroups of patients before total knee arthroplasty according to the heterogeneous patterns of self-regulation fatigue and to analyse the predictors of subtypes. Methods: A total of 210 patients awaiting total knee arthroplasty were enrolled. Data of demographic characteristics, clinical characteristics, psychological and social factors were collected. Latent profile analysis was employed to define the subgroups. Predictors of patterns were identified using multinomial logistic regression. Results: Three latent classes were identified: the low, medium, and high self-regulation fatigue classes. For the high self-regulation fatigue class, lower levels of hope, social support, self-efficacy and education were major predictors. Conclusion: These predictors of patients with different levels of self-regulation fatigue provide evidence for the identification of vulnerable populations and lay a foundation for targeted interventions. (c) 2023 Elsevier Inc. All rights reserved.

Automated summary

This study aimed to identify subgroups of patients before total knee arthroplasty based on the heterogeneous patterns of self-regulation fatigue and analyze the predictors of these subtypes. The results revealed three latent classes: low, medium, and high self-regulation fatigue. Lower levels of hope, social support, self-efficacy, and education were identified as major predictors for the high self-regulation fatigue class. These predictors can help identify vulnerable populations and provide a foundation for targeted interventions.