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. 2023 May;32(5):751-759.
doi: 10.1002/pon.6121. Epub 2023 Mar 17.

The relationship between patient-family caregiver congruence/incongruence in acceptance of illness and family caregivers' anticipatory grief

Hui Wang  1 , Haorun Yue  2 , Zenghui Wang  1 , Mengxin Lu  1 , Danjun Feng  1
Affiliations

The relationship between patient-family caregiver congruence/incongruence in acceptance of illness and family caregivers' anticipatory grief

Hui Wang et al. Psychooncology. 2023 May.

Abstract

Objective: Cancer is a family affair that negatively impacts the lives of patients and their family caregivers. This study takes a dyadic perspective to investigate the effect of patient-family caregiver illness acceptance congruence/incongruence on family caregivers' anticipatory grief (AG) and examine whether caregivers' resilience moderates the abovementioned relationship.

Methods: For the study, 304 dyads of advanced lung cancer patients and their family caregivers from three tertiary hospitals in Jinan, Shandong Province, China were recruited. The data were analyzed using polynomial regressions and response surface analyses.

Results: Family caregivers' AG was lower when patient-family caregiver illness acceptance was congruent rather than incongruent. Lower patient-caregiver illness acceptance congruence was associated with higher AG in family caregivers compared with higher illness acceptance congruence. Family caregivers reported significantly higher AG only if their illness acceptance was lower than that of their patients. In addition, caregivers' resilience moderated the effects of patient-caregiver illness acceptance congruence/incongruence on family caregivers' AG.

Conclusions: Patient-family caregiver illness acceptance congruence was beneficial to family caregivers' AG; resilience can be a protective factor for buffering the impact of illness acceptance incongruence on family caregivers' AG.

Keywords: anticipatory grief; cancer; congruence; illness acceptance; lung cancer; moderating effect; oncology; polynomial regression analysis; psycho-oncology; resilience.

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