AIMS: This article is a report on a study of the multidimensional predictors of caregiver burden in caregivers of individuals with dementia using nationally representative data. BACKGROUND: Caregiver burden affects the health of both caregivers and their care-recipients. Although previous studies identified various predictors of caregiver burden, these predictors have not been confirmed in nationally representative population. METHODS: Data for this secondary analysis was provided by the National Alliance for Caregiving, American Association of Retired Persons. The data were collected through a telephone survey of randomly selected adults in seven states in 2003 (weight adjusted n = 302). Descriptive statistics, inter-correlation analysis and a hierarchical multiple regression analysis were performed. RESULTS/ FINDINGS: Disease-related factors were the most significant predictors, explaining 16% of caregiver burden; these were followed by caregiver socio-demographical factors and caregiving-related factors (F = 21·28, P < 0·01). Significant individual predictors were impairment of activities of daily living or instrumental activities of daily living, the number of hours of caregiving, use of coping strategies, co-residence, spousal status and caregiver gender (P < 0·05). CONCLUSION: Impaired function in care-recipients predicts caregiver burden, and also interacts with demographical- and caregiving-related factors. Thus, it will be beneficial to both care-recipients and caregivers to target nursing interventions and community services to improve the functional abilities of individuals with dementia.
AIMS: This article is a report on a study of the multidimensional predictors of caregiver burden in caregivers of individuals with dementia using nationally representative data. BACKGROUND: Caregiver burden affects the health of both caregivers and their care-recipients. Although previous studies identified various predictors of caregiver burden, these predictors have not been confirmed in nationally representative population. METHODS: Data for this secondary analysis was provided by the National Alliance for Caregiving, American Association of Retired Persons. The data were collected through a telephone survey of randomly selected adults in seven states in 2003 (weight adjusted n = 302). Descriptive statistics, inter-correlation analysis and a hierarchical multiple regression analysis were performed. RESULTS/ FINDINGS: Disease-related factors were the most significant predictors, explaining 16% of caregiver burden; these were followed by caregiver socio-demographical factors and caregiving-related factors (F = 21·28, P < 0·01). Significant individual predictors were impairment of activities of daily living or instrumental activities of daily living, the number of hours of caregiving, use of coping strategies, co-residence, spousal status and caregiver gender (P < 0·05). CONCLUSION: Impaired function in care-recipients predicts caregiver burden, and also interacts with demographical- and caregiving-related factors. Thus, it will be beneficial to both care-recipients and caregivers to target nursing interventions and community services to improve the functional abilities of individuals with dementia.
Authors: Alycia A Bristol; Kimberly A Convery; Victor Sotelo; Catherine E Schneider; Shih-Yin Lin; Jason Fletcher; Randall Rupper; James E Galvin; Abraham A Brody Journal: Contemp Clin Trials Date: 2020-04-19 Impact factor: 2.226
Authors: Yamilé Molina; Vida Henderson; India J Ornelas; John R Scheel; Sonia Bishop; Sarah L Doty; Donald L Patrick; Shirley A A Beresford; Gloria D Coronado Journal: Fam Community Health Date: 2019 Oct/Dec