2019
DOI: 10.12779/dnd.2019.18.1.10
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Clinical and Demographic Predictors of Adverse Outcomes in Caregivers of Patients with Dementia

Abstract: Background and Purpose We aimed to elucidate independent predictors of adverse outcomes in caregivers of patients with dementia using readily available clinical and demographic data of patients with dementia and their caregivers. Methods We reviewed patient-caregiver data from the Clinical Research Center for Dementia of South Korea and Caregivers of Alzheimer Disease Research study. The clinical factors of the patients and the demographics of both patients and caregive… Show more

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Cited by 9 publications
(11 citation statements)
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References 34 publications
(51 reference statements)
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“…Common predictors and correlates of caregiver depression include behavioral and psychological symptoms, female gender of caregivers, being the spouse of the PWD, low social support, competence and coping strategies of the caregiver [ 1 , 14 16 ]. Other studies have found correlations between depression and dementia severity [ 17 , 18 ], lower caregiver education [ 19 , 20 ], or ADL dependence [ 21 ]. However, two facts stand out when reviewing previous literature on this topic: for one, most studies feature a cross-sectional design [ 14 , 15 ], which makes the direction of causation unclear.…”
Section: Introductionmentioning
confidence: 99%
“…Common predictors and correlates of caregiver depression include behavioral and psychological symptoms, female gender of caregivers, being the spouse of the PWD, low social support, competence and coping strategies of the caregiver [ 1 , 14 16 ]. Other studies have found correlations between depression and dementia severity [ 17 , 18 ], lower caregiver education [ 19 , 20 ], or ADL dependence [ 21 ]. However, two facts stand out when reviewing previous literature on this topic: for one, most studies feature a cross-sectional design [ 14 , 15 ], which makes the direction of causation unclear.…”
Section: Introductionmentioning
confidence: 99%
“…These analyses were controlled for patient and caregiver characteristics that past literature associated with caregiver burden. Specifically, for patient characteristics we controlled for age ( Lee et al, 2019 ), symptom burden ( Dyck et al, 1999 ), and availability of private insurance ( Hu et al, 2018 ; Yes = 1, No = 0). Regarding caregiver characteristics, we controlled for age ( Brazil et al, 2003 ), gender ( Hsiao, 2010 ; Male = 1, Female = 0), current marital status ( Park et al, 2012 ; Married = 1, Not Married = 0), working status ( Bekdemir & Ilhan, 2019 ; Working Full Time or Part Time = 1, Not Working = 0), self-reported financial status ( Bradley et al, 2009 ; Adequate and Above = 1, Below Adequate = 0), relationship to patient (Spouse “Wife/Husband” = 1, Others = 0; Abdollahpour et al, 2012 ), how well caregivers get along with patients (Very Well = 1, Quite Well and Below = 0; Steadman et al, 2007 ), caregiving for others ( Kim et al, 2019 ; Yes = 1, No = 0), and caregiving hours per week ( Kim et al, 2012 ).…”
Section: Methodsmentioning
confidence: 99%
“…Cortical thickness values were calculated in native brain spaces rather than in Talairach spaces because of the limitations of linear stereotaxic normalisation 26 . Intracranial volume (ICV) is defined as the total volume of grey matter, white matter, and cerebrospinal fluid.…”
Section: Methodsmentioning
confidence: 99%