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Trajectories of dyadic quality of life in young to middle-aged stroke couples: a longitudinal study.

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Title: Trajectories of dyadic quality of life in young to middle-aged stroke couples: a longitudinal study.
Authors: Liu, Zhiwei (AUTHOR), Xiang, Dandan (AUTHOR), Ge, Song (AUTHOR), Mei, Yongxia (AUTHOR), Zhang, Zhenxiang (AUTHOR), Chen, Suyan (AUTHOR), Guo, Erfeng (AUTHOR), Li, Xin (AUTHOR)
Source: Quality of Life Research. Mar2025, Vol. 34 Issue 3, p669-681. 13p.
Subjects: Quality of life, Stroke patients, Interpersonal conflict, Longitudinal method, Sadness, Social support, Rehabilitation, Anxiety
Abstract: 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. [ABSTRACT FROM AUTHOR]
Copyright of Quality of Life Research is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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  Data: Trajectories of dyadic quality of life in young to middle-aged stroke couples: a longitudinal study.
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  Data: <searchLink fieldCode="AR" term="%22Liu%2C+Zhiwei%22">Liu, Zhiwei</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Xiang%2C+Dandan%22">Xiang, Dandan</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Ge%2C+Song%22">Ge, Song</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Mei%2C+Yongxia%22">Mei, Yongxia</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zhang%2C+Zhenxiang%22">Zhang, Zhenxiang</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Chen%2C+Suyan%22">Chen, Suyan</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Guo%2C+Erfeng%22">Guo, Erfeng</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Li%2C+Xin%22">Li, Xin</searchLink> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Quality+of+Life+Research%22">Quality of Life Research</searchLink>. Mar2025, Vol. 34 Issue 3, p669-681. 13p.
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  Data: <searchLink fieldCode="DE" term="%22Quality+of+life%22">Quality of life</searchLink><br /><searchLink fieldCode="DE" term="%22Stroke+patients%22">Stroke patients</searchLink><br /><searchLink fieldCode="DE" term="%22Interpersonal+conflict%22">Interpersonal conflict</searchLink><br /><searchLink fieldCode="DE" term="%22Longitudinal+method%22">Longitudinal method</searchLink><br /><searchLink fieldCode="DE" term="%22Sadness%22">Sadness</searchLink><br /><searchLink fieldCode="DE" term="%22Social+support%22">Social support</searchLink><br /><searchLink fieldCode="DE" term="%22Rehabilitation%22">Rehabilitation</searchLink><br /><searchLink fieldCode="DE" term="%22Anxiety%22">Anxiety</searchLink>
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  Label: Abstract
  Group: Ab
  Data: 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. [ABSTRACT FROM AUTHOR]
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  Label:
  Group: Ab
  Data: <i>Copyright of Quality of Life Research is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1007/s11136-024-03839-1
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        Text: English
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        PageCount: 13
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        Type: general
      – SubjectFull: Stroke patients
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      – SubjectFull: Interpersonal conflict
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      – SubjectFull: Longitudinal method
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      – SubjectFull: Sadness
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      – SubjectFull: Social support
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      – SubjectFull: Rehabilitation
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      – SubjectFull: Anxiety
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              Text: Mar2025
              Type: published
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