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Social Networks Effects on Spouse and Adult-Child Dementia Caregivers’ Experiences: A Cross-Sectional Study

配偶 调解 痴呆 照顾负担 压力源 家庭照顾者 医学 背景(考古学) 社会支持 社交网络(社会语言学) 联想(心理学) 横断面研究 多级模型 老年学 临床心理学 心理学 发展心理学 疾病 社会心理学 古生物学 病理 机器学习 社会学 人类学 政治学 社会化媒体 计算机科学 法学 心理治疗师 生物
作者
Jun Wang,Weichu Liu,Shiqi Yu,Xuelian Li,Yingzhuo Ma,Qinghua Zhao,Yang Lü,Mingzhao Xiao
出处
期刊:Journal of the American Medical Directors Association [Elsevier]
卷期号:24 (9): 1374-1380.e1 被引量:3
标识
DOI:10.1016/j.jamda.2023.04.006
摘要

Objectives A large body of literature addresses experiences of spouse and adult-children caregiver of individuals with dementia (IWDs) but has not examined the role and strength of social networks in associations between spouses and adult-children caregivers' experience. Based on the stress process model, we aimed to explore the strength levels of social networks and their association with spouses/adult-children caregivers for IWDs. Design A cross-sectional study. Setting and Participants A questionnaire-based survey was conducted with a total of 146 family caregivers of IWDs (78 adult-child, and 68 spouses) in China. Methods Data collection comprised 4 sections: (1) care-related stressors (dementia stage, neuropsychiatric symptoms); (2) caregiver context; (3) social network, using the Lubben Social Network Scale; and (4) caregiving experience, using the short-form Zarit Burden Interview and 9-item Positive Aspects of Caregiving Scale. Linear regression, mediation model analysis, and interactive analysis were performed to explore the mechanisms of associations between variables. Results Spouses had weaker social network strength (β = −0.294, P = .001) and reported greater positive aspects of caregiving (β = 0.234, P = .003) than adult-children caregivers; no significant difference was found between them for caregiver burden. Mediation analysis suggests that associations between caregiver type and caregiver burden are indirect-only mediation effects of social networks (β = 0.140, 95% CI = 0.066-0.228). The social network strength suppressed the association between caregiver type and positive aspects of caregiving. The caregiver type/social network interaction statistically significantly (P = .025) affected the "positive aspects": a stronger social network was associated with more positive aspects of caregiving among the spouse subgroup (β = 0.341, P = .003). Conclusions and Implications Social networks mediate responses to caregiving experiences among different care provider types and are vital intervention targets, especially for spousal caregivers. Our results can serve as references for identifying caregivers for clinical intervention.
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