Trajectories of Learned Helplessness in Maintenance Haemodialysis Patients and Their Predictive Effects on Self-Management: A Latent Growth Mixture Modeling Approach.

learned helplessness longitudinal research maintenance haemodialysis self-management trajectories

Journal

Psychology research and behavior management

ISSN: 1179-1578

Titre abrégé: Psychol Res Behav Manag

Pays: New Zealand

ID NLM: 101514563

Informations de publication

Date de publication:
2023

Historique:

received: 13 12 2022

accepted: 03 02 2023

entrez: 17 2 2023

pubmed: 18 2 2023

medline: 18 2 2023

Statut: epublish

Résumé

Learned helplessness (LH) is an essential psychological factor influencing maintenance haemodialysis (MHD) patients' health behaviour and is closely related to prognosis of the disease. This study aimed to identify potential trajectories of LH in MHD patients and assess their predictive role in self-management. This study was conducted in strict compliance with national laws, the Declaration of Istanbul, and the Declaration of Helsinki. A total of 347 MHD patients at a blood purification centre in Hunan Province, China, were selected as the study population. Four longitudinal surveys (baseline and second/fourth/sixth month after baseline) were conducted using the General Information Questionnaire for MHD patients, the Chinese version of the Learned Helplessness Scale for MHD patients, and the Self-Management Scale for Haemodialysis. Latent growth mixture model (LGMM) analysis was used to identify LH trajectories, and their predictors were analysed using multinomial logistic regression. The predictive role of LH trajectory on self-management was analysed using linear regression. This study identified three LH trajectories in MHD patients, named the "high-decreasing group" (57.9%), "low-increasing group" (21.3%), and "low-stability group" (20.7%). The results of the univariate analysis showed that sex (χ MHD patients show three different LH trajectories. The initial level and developmental rate of LH can negatively predict future self-management. It is necessary to screen MHD patients' LH and develop targeted interventions for them with different LH trajectories at specific stages.

Sections du résumé

Background UNASSIGNED

Methods UNASSIGNED

This study was conducted in strict compliance with national laws, the Declaration of Istanbul, and the Declaration of Helsinki. A total of 347 MHD patients at a blood purification centre in Hunan Province, China, were selected as the study population. Four longitudinal surveys (baseline and second/fourth/sixth month after baseline) were conducted using the General Information Questionnaire for MHD patients, the Chinese version of the Learned Helplessness Scale for MHD patients, and the Self-Management Scale for Haemodialysis. Latent growth mixture model (LGMM) analysis was used to identify LH trajectories, and their predictors were analysed using multinomial logistic regression. The predictive role of LH trajectory on self-management was analysed using linear regression.

Results UNASSIGNED

This study identified three LH trajectories in MHD patients, named the "high-decreasing group" (57.9%), "low-increasing group" (21.3%), and "low-stability group" (20.7%). The results of the univariate analysis showed that sex (χ

Conclusion UNASSIGNED

MHD patients show three different LH trajectories. The initial level and developmental rate of LH can negatively predict future self-management. It is necessary to screen MHD patients' LH and develop targeted interventions for them with different LH trajectories at specific stages.

Identifiants

DOI: 10.2147/PRBM.S401380 PMID: 36798876 PMC: PMC9926927

pubmed: 36798876

doi: 10.2147/PRBM.S401380

pii: 401380

pmc: PMC9926927

doi:

Types de publication

Journal Article

Langues

eng

Pagination

351-361

Informations de copyright

Déclaration de conflit d'intérêts

All authors declare that they have no conflicts of interest for this work.

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