Cutoff of the Zarit Burden Interview in predicting depression and anxiety.
Qual Life Res
; 28(9): 2525-2533, 2019 Sep.
Article
em En
| MEDLINE
| ID: mdl-31089989
ABSTRACT
BACKGROUND:
The purpose of the present study was to determine a statistically valid cutoff score for the Zarit Burden Interview (ZBI) in order to identify family caregivers at risk for depression and anxiety to guide for further assessment and future intervention.METHODS:
The ZBI, the Patient Health Questionnaire (PHQ), and the Generalized Anxiety Disorder Scale (GAD) were administered to a representative community sample of 327 family caregivers of schizophrenia individuals. A ZBI cutoff score was determined using three different statisticalmethods:
tree-based modeling, K-means clustering technique and linear regression, followed by contingency analysis and receiver operating characteristic (ROC) curve to compare between depression and anxiety scale scores with the ZBI cutoff.RESULTS:
Findings suggest that a cutoff score of 48 in ZBI has significant predictive validity for identifying caregivers at risk for both depression and anxiety. A ZBI cutoff of 48 showed sensitivity of 73% for PHQ and 70% for GAD, specificity of 80% for PHQ and 79% for GAD, PPV (positive predictive value) of 75% for PHQ and 73% for GAD, NPV (negative predictive value) of 78% for PHQ and 76% for GAD.CONCLUSIONS:
This cutoff score would enable health care providers to assess family caregivers at risk and provide necessary interventions to improve their quality of life in this important role.Palavras-chave
Texto completo:
1
Base de dados:
MEDLINE
Assunto principal:
Ansiedade
/
Psicometria
/
Qualidade de Vida
/
Cuidadores
/
Depressão
Tipo de estudo:
Prognostic_studies
/
Qualitative_research
/
Risk_factors_studies
Limite:
Adult
/
Female
/
Humans
/
Male
/
Middle aged
Idioma:
En
Ano de publicação:
2019
Tipo de documento:
Article