A PHP Error was encountered

Severity: Warning

Message: file_get_contents(https://...@pubfacts.com&api_key=b8daa3ad693db53b1410957c26c9a51b4908&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests

Filename: helpers/my_audit_helper.php

Line Number: 176

Backtrace:

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 176
Function: file_get_contents

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 250
Function: simplexml_load_file_from_url

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3122
Function: getPubMedXML

File: /var/www/html/application/controllers/Detail.php
Line: 575
Function: pubMedSearch_Global

File: /var/www/html/application/controllers/Detail.php
Line: 489
Function: pubMedGetRelatedKeyword

File: /var/www/html/index.php
Line: 316
Function: require_once

The Relationship Between Dyadic Coping and Mental Health in Stroke Survivors and Their Spouse Caregivers: An Actor-Partner Interdependence Model. | LitMetric

AI Article Synopsis

  • The study investigates how dyadic coping affects the mental health of stroke survivors and their spouse caregivers, highlighting both individual and mutual influences.
  • Conducted in China with 224 dyads, it used various scales to analyze data, focusing on both actor and partner effects within the Actor-Partner Interdependence Model.
  • Results show that effective dyadic coping can reduce feelings of anxiety and depression for both partners, while poor coping strategies may lead to increased mental health issues, emphasizing the need for targeted dyadic interventions.

Article Abstract

Aim: To investigate the relationship among dyadic coping, mental health and the individual and mutual influences on stroke survivors and their spouse caregivers.

Design: A cross-sectional descriptive study was conducted in China from November 2019 to August 2020. The STROBE checklist was used to report the present study.

Methods: The analysis included 224 dyads of stroke survivors and their spouse caregivers in China. Data on stroke survivors and their spouse caregivers were collected using the Dyadic Coping Inventory (DCI), the Patient Health Questionnaire nine-item scale (PHQ-9) and the Generalised Anxiety Disorder seven-item scale (GAD-7). The dyadic analysis was conducted based on the Actor-Partner Interdependence Model (APIM).

Results: Regarding actor effects, spouse caregivers' dyadic coping and perceived dyadic coping had a negative predictive effect on their own anxiety and depression. Stroke survivors' perceived dyadic coping had a negative effect on their own depression. Regarding partner effects, spouse caregivers' perceived dyadic coping also had a negative predictive effect on the depression of the patients. In contrast, stroke survivors' perceived dyadic coping was positively associated with spouse caregivers' anxiety and depression. These findings suggested that mental health of stroke survivors and their spouse caregivers was affected by various dyadic coping dimensions.

Conclusions: Our research has the potential to contribute to the understanding dyadic coping and mental health of stroke survivor-spouse caregiver dyads. The findings reveal that the coping strategies employed by stroke couples are closely related to the mental health of both partners.

Impact: This study provides evidence for the significant impact of dyadic coping on the psychological well-being of stroke survivors and their spouse caregivers. Therefore, dyadic interventions aiming at strengthening dyadic coping may have positive effects on their mental health.

Patient Or Public Contribution: This study directly involved the patients and family caregivers in hospital settings.

Download full-text PDF

Source
http://dx.doi.org/10.1111/jocn.17478DOI Listing

Publication Analysis

Top Keywords

dyadic coping
48
stroke survivors
24
survivors spouse
24
mental health
20
spouse caregivers
20
perceived dyadic
16
coping
13
dyadic
13
coping mental
12
health stroke
12

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!