Xia C, Wei T, Tang Q, Zheng H, Chen G, Lu J. Depression and Associated Factors among Family Caregivers of Children with Disabilities: Analysis of Intergenerational Differences.
Healthcare (Basel) 2023;
11:2693. [PMID:
37830730 PMCID:
PMC10572526 DOI:
10.3390/healthcare11192693]
[Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2023] [Revised: 09/28/2023] [Accepted: 10/05/2023] [Indexed: 10/14/2023] Open
Abstract
Family caregivers of children with disabilities might face high risks of depression, whereas the existing literature focused more on parents neglecting grandparents. This study investigated 380 parents and 108 grandparents of children with disabilities to identify depression and associated factors. Descriptive statistics, Chi-square test, Mann-Whitney U test, and multivariable logistic regression were performed to describe the participants' characteristics and risks of depression and identify significant factors. Results showed that parents (35.5%) had higher risks of depression than grandparents (32.4%), but statistical differences were not found. Children's sleep problems (AOR = 1.751, 95%CI = 1.019, 3.008), harmonious family relationships (AOR = 0.694, 95%CI = 0.569, 0.846), and better barrier-free construction (AOR = 0.742, 95%CI = 0.568, 0.970) were significantly associated with depression among parents. As for grandparents, higher education (AOR = 4.108, 95%CI = 1.526, 11.057) and caring for children who experience frequent mood swings (AOR = 2.242, 95%CI = 1.161, 4.329) were associated with higher risks of depression. Further, house ownership (AOR = 0.167, 95%CI = 0.031, 0.887), higher family cohesion (AOR = 0.545, 95%CI = 0.297, 1.000), and better barrier-free construction (AOR = 0.401, 95%CI = 0.185, 0.869) were associated with lower odds of depression. Therefore, both parents and grandparents of children with disabilities had high risks of depression and thus required urgent attention. Healthcare providers and policymakers should develop and implement interventions considering intergenerational differences to reach optimal efficiency.
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