Chinese Journal of Rehabilitation Theory and Practice ›› 2024, Vol. 30 ›› Issue (4): 454-461.doi: 10.3969/j.issn.1006-9771.2024.04.011

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Structural equation model of influencing factors of anticipatory grief among main caregivers of young and middle-aged patients with severe stroke

LIU Xing1a, ZHOU Yumei1b(), XU Huili1b, PENG Jianying2, XIE Zheshu1a, XING Limin3, ZHAO Jun4   

  1. 1. a. Graduate Training Base of Nursing School, b. Department of Nursing, Xiangyang No.1 People's Hospital Affiliated to Hubei University of Medicine, Xiangyang, Hubei 441000, China
    2. School of Resources and Environmental Engineering, Wuhan University of Science and Technology, Wuhan, Hubei 430000, China
    3. Xiangyang Hospital of Integrated Chinese and Western Medicine, Xiangyang, Hubei 441000, China
    4. School of Public Hygiene and Health, Hubei University of Medicine, Shiyan 442000, China
  • Received:2023-10-30 Revised:2024-01-23 Published:2024-04-25 Online:2024-05-08
  • Contact: ZHOU Yumei, E-mail: 437728011@qq.com
  • Supported by:
    Science and Technology Innovation Project for Graduate Students, School of Nursing, Hubei University of Medicine(yjc2022004);Xiangyang Science and Technology Bureau Project(2022YL34B)

Abstract:

Objective To construct a structural equation model to explore the influencing factors of anticipatory grief in the main caregivers of young and middle-aged patients with severe stroke, and to provide a basis for exploring the intervention model of anticipatory grief.

Methods From June, 2022 to June, 2023, a total of 300 main caregivers of young and middle-aged patients with severe stroke in Xiangyang No.1 People's Hospital Affiliated to Hubei University of Medicine were selected. The general information questionnaire, Anticipatory Grief Scale (AGS), Zarit Caregiver Burden Interview (ZBI), Social Support Rating Scale (SSRS) and Simplified Coping Style Questionnaire (SCSQ) were used to investigate the influencing factors. Pearson correlation analysis was used to analyze the correlation among the scores of above scales, and AMOS 25.0 was used for model fitting, path and mediating effect analysis.

Results The scores of AGS, ZBI and SSRS were (88.35±9.02), (42.32±7.41) and (41.52±5.43), respectively. The positive coping style accounted for 39.3% of caregivers, and negative coping style accounted for 60.7%. The score of AGS was positively correlated with the scores of negative coping style in SCSQ (r = 0.357) and ZBI (r = 0.381) (P< 0.01), and negatively correlated with the scores of SSRS (r = -0.436) and positive coping style in SCSQ (r = -0.369) (P < 0.01). The structural equation model showed that the direct effect of caregiver burden on anticipatory grief was significant (effect value was 0.458), and the mediating effect of social support, positive coping and negative coping between caregiver burden and anticipatory grief was significant (effect values were 0.113, 0.061 and 0.060, respectively).

Conclusion The main caregivers of young and middle-aged patients with severe stroke have a high level of anticipatory grief. Each influencing factor has a strong predictive and explanatory function on the anticipatory grief of the main caregivers. Medical staff can formulate targeted intervention measures, to reduce the level of anticipatory grief.

Key words: stroke, young and middle-aged, primary caregiver, anticipatory grief, structural equation model

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