Psychosocial adaptation profiles in young and middle-aged patients with acute myocardial infarction : a latent profile analysis

© The Author(s) 2023. Published by Oxford University Press on behalf of the European Society of Cardiology. All rights reserved. For permissions, please e-mail: journals.permissionsoup.com..

AIMS: We sought to explore the latent classifications of psychosocial adaptation in young and middle-aged patients with acute myocardial infarction (AMI) and analyse the characteristics of different profiles of AMI patients.

METHODS AND RESULTS: A cross-sectional study was performed in 438 Chinese young and middle-aged patients with AMI. The investigation time was 1 month after discharge. Three different self-report instruments were distributed to the participants, including the Psychosocial Adjustment to Illness Scale, the Perceived Stress Scale, and the Social Support Rating Scale. The seven dimensions of the Psychosocial Adjustment to Illness Scale were then used to perform a latent profile analysis. All participants signed informed consent forms in accordance with the ethical principles of the Declaration of Helsinki. Finally, a total of 411 young and middle-aged AMI patients were enrolled. Three distinct profiles were identified, including the 'well-adapted group' (44.8%), 'highlight in psychological burdens group' (25.5%), and 'poorly adapted group' (29.7%). The influencing factors included stress perception, social support, occupational type, and marital status (P < 0.05).

CONCLUSION: The psychosocial adaptation of young and middle-aged AMI patients can be divided into three profiles. Clinical nurses can carry out individualized psychological interventions according to the characteristics of patients in different potential profiles to improve the psychosocial adaptation of patients and the prognosis of their disease.

Medienart:

E-Artikel

Erscheinungsjahr:

2024

Erschienen:

2024

Enthalten in:

Zur Gesamtaufnahme - volume:23

Enthalten in:

European journal of cardiovascular nursing - 23(2024), 3 vom: 12. Apr., Seite 267-277

Sprache:

Englisch

Beteiligte Personen:

Xiong, Jia-Ming [VerfasserIn]
Su, Jin [VerfasserIn]
Ke, Qi-Qi [VerfasserIn]
Li, Yao-Xia [VerfasserIn]
Gong, Ni [VerfasserIn]
Yang, Qiao-Hong [VerfasserIn]

Links:

Volltext

Themen:

Acute myocardial infarction
Influencing factor
Journal Article
Latent profile analysis
Psychosocial adaptation
Young and middle-aged

Anmerkungen:

Date Completed 15.04.2024

Date Revised 15.04.2024

published: Print

Citation Status MEDLINE

doi:

10.1093/eurjcn/zvad071

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM360036392