Severity: Warning
Message: file_get_contents(https://...@gmail.com&api_key=61f08fa0b96a73de8c900d749fcb997acc09&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: 1034
Function: getPubMedXML
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3152
Function: GetPubMedArticleOutput_2016
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
Purpose: This study utilized a group-based dual-trajectory model to identify distinct dyadic quality of life (QoL) trajectories among young to middle-aged stroke couples and to analyze the predictive factors influencing these trajectories.
Methods: A longitudinal study was conducted with 168 young to middle-aged stroke couples. Assessments at baseline and at 1, 3, and 6 months post-discharge included patients' functional recovery (modified Rankin Scale) and stroke couples' depression, anxiety, stress, benefit finding, social support, couple relationship, and QoL (12-item short-form health scale). Dyadic QoL trajectories were identified using a group-based dual-trajectory model. Stepwise logistic regression was employed to identify the predictors of the trajectory groups.
Results: Three subgroups of dyadic physical QoL trajectories were distinguished: "patients low increase-spouses moderate physical QoL" (15.4%), "patients moderate increase-spouses moderate physical QoL" (74.0%), and "patients moderate increase-spouses high physical QoL" (10.6%). Two subgroups of dyadic mental QoL trajectories were distinguished: "dyadic low increase mental QoL" (15.9%), and "dyadic high increase mental QoL" (84.1%). The trajectory groups were influenced by the patient's sex, functional recovery, depression, and the spouse's mutuality.
Conclusions: The group-based dual-trajectory model facilitates the identification of distinct dyadic QoL trajectories among stroke couples. These findings provide valuable insights for developing targeted interventions aimed at improving their QoL.
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Source |
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http://dx.doi.org/10.1007/s11136-024-03839-1 | DOI Listing |
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