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- Title
A Causal Model of Caregiving Burden among Dementia Caregivers.
- Authors
Chalinee SUVANAYOS; Darawan THAPINTA; Wichit SRISUPHAN; Hunsa SETHABOUPPHA; Sirirat PANUTHAI
- Abstract
In this study, a cross-sectional, predictive correlation design was used to identify and test a causal relationship between behavior disturbances, coping, family conflict, self-esteem and social support to caregiver burden among dementia caregivers. A total of 450 caregivers of dementia aged over 18 years were recruited from 4 hospitals in northern Thailand based on selected criteria. Demographic Questionnaire, Behavioral Pathology in Alzheimer's Disease Rating Scale (BEHAVE-AD, The Family Conflict Scale, The Zarit Burden Interview Scale, The Perceived Social Support Questionnaire, The Brief COPE and The Rosenberg Self-Esteem with acceptable reliability coefficients were used to collect data. Data were analyzed using descriptive statistics, Pearson's Product-Moment Correlation and path analysis by structural equation modeling. Results showed that the modified model fitted with the data and explained 58% of the variance in caregiving burden among dementia caregivers. Coping and family conflict had a positive direct effect on caregiving burden (p < 0.001), whereas self-esteem and social support had a direct negative effect on caregiving burden (p < 0.001). Behavior disturbance had a positive indirect effect caregiving burden (p < 0.001) via family conflict. Coping had a positive indirect effect on caregiving burden (p < 0.001) via behavior disturbance and family conflict. Social support had a negative indirect effect on caregiving burden (p < 0.001) via family conflict and self-esteem. The results of this study could be used as a guideline for psychiatric nurses in planning an appropriate intervention program to reduce burden of caregivers of dementia patients in Thailand.
- Subjects
THAILAND; SERVICES for caregivers; CAREGIVERS; BURDEN of care; PEARSON correlation (Statistics); FAMILY conflict; CAUSAL models
- Publication
Walailak Journal of Science & Technology, 2020, Vol 17, Issue 5, p476
- ISSN
1686-3933
- Publication type
Article