Abstract
Objective To explore the potential categories of dyadic psychological capital and related factors among stroke patients and their spouses, in order to inform the improvement of their mental health. Methods Stroke patients and their spouses were recruited in the Neurology Department of 3 tertiary general hospitals from March, 2023 to August, 2023 by convenience sampling method. The general information questionnaire, Modified Rankin Scale (mRs), Psychological Capital Questionnaire, The Kessler Psychological Distress Scale (K10) and Perceived Social Support Scale (PSSS) were used for investigation. Latent profile analysis was adopted to explore the categories of dyadic psychological capital, and multiple Logistic regression analysis was used to assess the effect of various factors on different categories. Results A total of 232 returned questionnaires (out of the 235) were valid, resulting an effective response rate of 98.7%. Stroke patients and their spouses were divided into 3 categories, including dyadic low psychological capital-low self-efficacy group (6.0%), dyadic high psychological capital-low resilience group (15.9%) and dyadic medium psychological capital group (78.1%). The stroke patients' education level, mRs scores, occupational status after the illness, level of perceived social support, and spouses' working condition were the influencing factors on potential profiles of dyadic psychological capital (P<0.05). Conclusion There are heterogeneity and interdependence in the level of dyadic psychological capital of stroke patients and their spouses. Healthcare professionals should promote dyadic mental health by developing targeted interventions for stroke patients and their spouses with different psychological capital characteristics from a dyadic holistic perspective.
| Translated title of the contribution | Latent profile analysis of dyadic psychological capital among stroke patients and their spouses and nursing countermeasures |
|---|---|
| Original language | Chinese (Simplified) |
| Pages (from-to) | 332-339 |
| Number of pages | 8 |
| Journal | Chinese Journal of Nursing |
| Volume | 60 |
| Issue number | 3 |
| DOIs | |
| Publication status | Published - 10 Feb 2025 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- Latent Profile Analysis
- Psychological Capital
- Psychological Care
- Spouses
- Stroke
ASJC Scopus subject areas
- General Medicine
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