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• W2322626670 abstract "Caregivers of adolescents and young adults (AYA) with complex medical conditions, including brain tumor survivors, have protracted and often complex roles, yet a gap exists in understanding their perceived competence. The aim of this study is to test a hypothesized model based on the theoretical and empirical literature: better caregiver health, better survivor health, and better family functioning contribute directly to fewer caregiving demands, which in turn contribute to greater caregiver competence.Telephone interviews using structured self-report questionnaires were conducted in this cross-sectional study with a sample of 186 caregivers (mothers) of childhood brain tumor survivors aged 14-40 years old who live with at least one parent. Structural equation modeling (SEM) was used to test the hypothesized model.The final SEM model suggests that survivor health and family functioning directly predict caregiver competence. Caregiver health indirectly predicts caregiver competence through caregiver demands and then family functioning. Family income directly predicts family functioning. The model showed adequate fit (CFI = 0.905, TFI = 0.880, and RMSEA = 0.081). Overall, the model accounted for 45% of variance in caregiver competence.For this sample of caregivers of AYA with medically complex conditions, family functioning and the health of survivors are both important to how they evaluate their skills as caregivers. The results of this study underscore the crucial role of care models that focus on optimizing the health of the survivor, caregiver, and family, along with supporting a family centered approach to their care." @default.
• W2322626670 created "2016-06-24" @default.
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• W2322626670 date "2014-10-01" @default.
• W2322626670 modified "2023-10-16" @default.
• W2322626670 title "Competence in caregivers of adolescent and young adult childhood brain tumor survivors." @default.
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• W2322626670 doi "https://doi.org/10.1037/a0033756" @default.
• W2322626670 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/4382017" @default.
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