Latent profile analysis of benefit finding among family caregivers of Chinese older adults with disabilities and its influencing factors

Objectives: The increase in the number of older adults with disability creates new challenges for caregivers. Benefit finding is the positive experience that caregivers get from caregiving, helping to reduce the negative impact on the caregiver's quality of life. However, there is less research on the positive experiences of family caregivers of older adults with disabilities. This study aimed to identify different benefit finding profiles among family caregivers of older adults with disabilities in China and to explore the sociodemographic characteristics and psychosocial factors with different benefit finding profiles. Methods: A cross-sectional study of 218 family caregivers of Chinese older adults with disabilities using the sociodemographic questionnaire, the Family-APGAR, the Sense of Coherence-13, the Emotion Regulation Scale and Benefit Finding Scale from October 2022 to June 2023 in communities and hospitals of China, Shenyang, Liaoning Province. Latent profile analysis was used to analyze the latent profiles of benefit finding among family caregivers of Chinese older adults with disability. Multiple logistic regression was used to explore the predictors of different profiles. Results: The benefit finding among family caregivers of Chinese older adults with disability can be classified into three potential profiles: Profile 1 - high-level benefit finding group (12.84%), Profile 2 - medium-level benefit finding group (43.58%), Profile 3 - low-level benefit finding group (43.58%). Working status, family function, and cognitive reappraisal of caregiver were predictors of different profiles Conclusions: Nurses and community health care staffs should pay attention to the characteristics, family function, and emotion regulation strategies of family caregivers of older adults with different disability. Help family caregivers enhance family cohesion and cognitive reappraisal to improve positive experiences for caregivers in different profiles. (c) 2024 Elsevier Inc. All rights are reserved, including those for text and data mining, AI training, and similar technologies.