Zarit Burden Interview

Background: Despite its popularity, the latent structure of 22-item Zarit Burden Interview (ZBI) remains unclear. There has been no study exploring how caregiver multidimensional burden changed. Objective: The aim of the work was to validate the latent structure of ZBI and to investigate how multidimensional burden evolves with increasing global burden. Methods: We studied 1,132 dyads of dementia patients and their informal caregivers. The caregivers completed the ZBI and a questionnaire regarding caregiving.

Research on ageing in Nigeria has shown that informal care places economic and psychological strain on the caregivers of the elderly persons. However, objective method of assessment of the burden of care for the elderly among caregivers is lacking. This study was aimed at validating the 12-item Zarit Burden Interview (ZBI) among caregivers of elderly persons in Nigeria in correlation with the Katz Index of Independence in Activities of Daily Living (Katz-ADL), the General Health Questionnaire (GHQ-12) and the Modified Conflicts Tactics Scale for Elder Abuse (MCTS).

Introduction: To examine the psychometric properties of different short versions of the Zarit Burden Interview (ZBI), and to find an efficient and valid short version for clinical use among dementia caregivers.; Materials and Methods: A total of 270 Taiwanese dementia caregivers filled out the full form of the ZBI, which contains 22 items. Using the 22-item ZBI, we used confirmatory factor analysis (CFA) to calculate the fit indices of all proposed short versions with various items to determine useful short versions.

Objective: The Zarit Burden Interview has been used in many studies to assess caregiver burden in family caregivers of patients with amyotrophic lateral sclerosis, but the factor structure of the Zarit Burden Interview in the caregivers of amyotrophic lateral sclerosis patients is unknown. The aim of this study was to explore the factor structure of the Zarit Burden Interview in family caregivers of amyotrophic lateral sclerosis patients using exploratory factor analysis.