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Psychosocial and socioeconomic vulnerability among caregivers of children with retinoblastoma: a cross-sectional latent profile study
Background: Caregivers of children with retinoblastoma (RB) face substantial psychological and socioeconomic challenges. However, the factors independently associated with caregiver burden and the distribution of risk across caregiver subgroups remain incompletely characterized. We examined psychosocial and socioeconomic correlates of caregiver burden, identified distinct vulnerability profiles, and evaluated factors associated with high-risk profile membership. Methods: This cross-sectional study enrolled 413 primary caregivers of children with RB at a tertiary ophthalmic oncology center. Participants completed validated measures of caregiver burden (ZBI-22), anxiety (GAD-7), perceived social support (PSSS), family functioning (FAD-GF), and mental and physical quality of life (SF-12 MCS and PCS). Multivariable linear regression identified factors independently associated with caregiver burden and mental quality of life. Mediation analysis evaluated the indirect association between social support and burden through family functioning, and moderation analysis assessed whether household income modified the association between family dysfunction and burden. Latent profile analysis (LPA) identified caregiver risk profiles, and multinomial logistic regression examined factors associated with profile membership. Results: Anxiety showed the strongest independent association with greater caregiver burden (standardized coefficient beta = 0.641, 95% CI [1.46, 1.84], P < 0.001) and poorer mental quality of life (beta = -0.483, 95% CI [-0.12, -0.08], P < 0.001). Family debt was independently associated with greater burden (beta = 0.195, P = 0.040). Family functioning accounted for 32.19% of the total association between social support and burden. Household income modified the association between family dysfunction and burden (interaction B = -0.85, P < 0.001), with a steeper gradient in lower-income households. LPA identified three profiles: severe burden-high vulnerability (n = 82, 19.85%), moderate burden (n = 193, 46.73%), and mild burden-high resilience (n = 138, 33.41%). Low-to-moderate household income was associated with higher odds of severe-profile membership (OR = 31.50, 95% CI [6.56, 151.24], P < 0.001). Conclusions: Caregiver burden in pediatric RB was associated more strongly with psychosocial and socioeconomic factors than with the clinical indicators examined. Family functioning partly accounted for the association between social support and burden, while household income modified the association between family dysfunction and burden. These findings support prospective evaluation of family-centered and financial-support interventions and suggest that profile-based screening may help identify caregivers requiring more intensive support.
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