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Quality of Life Research
Erschienen in: Quality of Life Research 9/2019

14.05.2019

Cutoff of the Zarit Burden Interview in predicting depression and anxiety

verfasst von: Yu Yu, Zi-Wei Liu, Wei Zhou, Mei Zhao, Dan Qiu, Yi-Lu Li, Shui-Yuan Xiao

Erschienen in: Quality of Life Research | Ausgabe 9/2019

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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 statistical methods: 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.
Vorheriger Artikel Calibration and initial validation of a general self-efficacy item bank and short form for the NIH PROMIS®
Nächster Artikel A psychometric evaluation of the Chinese version of the Nursing Home Adjustment Scale

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Metadaten
Titel
Cutoff of the Zarit Burden Interview in predicting depression and anxiety
verfasst von
Yu Yu
Zi-Wei Liu
Wei Zhou
Mei Zhao
Dan Qiu
Yi-Lu Li
Shui-Yuan Xiao
Publikationsdatum
14.05.2019
Verlag
Springer International Publishing
Erschienen in
Quality of Life Research / Ausgabe 9/2019
Print ISSN: 0962-9343
Elektronische ISSN: 1573-2649
DOI
https://doi.org/10.1007/s11136-019-02208-7

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