Title :

The use of psychological network analysis in informal dementia care: an empirical illustration.

Author(s) :

Gérain, Pierre [Auteur]
Laboratoire Sciences Cognitives et Sciences Affectives - UMR 9193 [SCALab]
Wawrziczny, Emilie [Auteur]
Sciences Cognitives et Sciences Affectives (SCALab) - UMR 9193
Antoine, Pascal [Auteur]
Sciences Cognitives et Sciences Affectives (SCALab) - UMR 9193

Journal title :

Aging and Mental Health

Abbreviated title :

Aging Ment Health

Volume number :

27

Pages :

p.1780-1789

Publication date :

2022-10-25

ISSN :

1364-6915

English keyword(s) :

Informal care
burden
dementia
dyadic adjustment
network analysis

HAL domain(s) :

Sciences cognitives

English abstract : [en]

Theoretical models in informal dementia care have been developed to understand how risk and protective factors interact to cause caregiver's distress. The development of psychological network analysis provides a rich ...
Show more >Theoretical models in informal dementia care have been developed to understand how risk and protective factors interact to cause caregiver's distress. The development of psychological network analysis provides a rich complement to our current models, as explores how different variables (or nodes) are associated using graph theories. : The present study explored the use of network analysis using data from 125 informal caregivers of their partner with dementia (PwD). The included variables were recipient's dependency, self-efficacy, conflict within the family, dyadic adjustment, and caregiver's distress. : The analysis suggests a complex network of interacting variables. The core variable was not the caregiver's distress but rather their dyadic adjustment with their PwD. Variables were associated with caregiver distress through a large array of direct and indirect pathways and were associated with each other in the form of an asymmetric spider's web.: The results show the complex interplay of variables in a psychological network. The central role of distress suggests a complex and dynamic role, notably through a bidirectional influence with quality of interactions. In the same way, quality of interactions appeared as one of the strongest nodes, its connectivity suggesting a crucial role to consider in our models and interventions.Show less >

Language :

Anglais

Peer reviewed article :

Oui

Audience :

Internationale

Popular science :

Non

Administrative institution(s) :

Université de Lille
CNRS
CHU Lille

Collections :

• Sciences Cognitives et Sciences Affectives (SCALab) - UMR 9193

Research team(s) :

Équipe Dynamique Émotionnelle et Pathologies (DEEP)

Submission date :

2023-07-17T08:52:59Z
2023-08-23T13:17:37Z
2024-01-16T12:16:55Z
2024-03-06T08:50:25Z