Caregiver Role Overload and Network Support in a Sample of Predominantly Low-Income, African-American Caregivers of Persons Living with HIV/AIDS: A Structural Equation Modeling Analysis

Abstract

While informal caregivers play an important role in improving the health of disadvantaged persons living with HIV/AIDS (PLHAs) in the United States, caregiver role overload has the potential for distress. We used latent profile analysis (LPA) to classify caregivers based on their perceived level of support and structural equation modeling (SEM) to examine the relationships among role overload, perceived support, caregiver demographic characteristics, and social network members' characteristics in a sample of 215 predominantly low-income, African-American informal caregivers. The LPA resulted in two classes of caregivers with higher and lower perceived support. The SEM results indicated that caregiver role overload was associated with being in the less supported class, younger age, and limited physical functioning, while social support class was associated with being female and being HIV seropositive in addition to support network characteristics. Interventions should address the support needs of HIV caregivers to reduce their potential for distress.