Another is the continuous support of aging caregivers, who themselves may be infected with HIV.
Variables included in the logistic regression model were age and sex of child, caregivers' age, caregivers' sex, caregivers' education and income.
Regarding working-age caregivers, the flexibility of the labor market allows people to choose between work and caring.
For the second hypothesis, the relationship between age (caregivers' and patients'), patients' duration of illness, depression score, EDSS score and caregiver QOL domain scores was assessed by Pearson's correlation.
When infants were 3 months of age, caregivers were approached by community coordinators, in the order on the list of randomly selected potential participants generated by the DCC, to recruit for participation in this study.
Because of this, in this study we aimed to understand the problems, and thoughts of aging of caregivers who are working in nursing homes.
Different covariates were clinically relevant variables from both caregivers' and patients' characteristics, such as hours of informal care, partner, caregiver age, caregiver sex, caregiver educational attainment, patient age, living in an institution, dementia and measurement time points.
Finally, we built a multivariable logistic regression model to examine how caregivers' and patients' characteristics are associated with the dimensions of the CarerQol-7D, adjusted for the covariates partner, caregiver age, caregiver sex, living in an institution, dementia and GFI.
The independent variables were caregiver age, caregiver sex and caregiver QoL-AD items.
The analysis of attitude scores revealed significant differences related to certain variables: kinship, caregiver age, caregiver's level of education, and years living with the patient.
