Evidence map›Paper›PMID 31089989›Full record

ArticleQuality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation2019

Cutoff of the Zarit Burden Interview in predicting depression and anxiety.

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

Abstract read
PubMed Publisher
In one paragraph

Article in Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.6field-weighted citation impact, top 11% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

15 citing papers in PubMed, 23 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 1 institution in 1 country.

Yu YuHospital Evaluation Office, Xiangya Hospital, Central South University, Xiangya Road 87, Changsha, 410008, Hunan, China.
Zi-Wei LiuDepartment of Psychiatry, The Second Xiangya Hospital, Central South University, Renmin Middle Road 139, Changsha, 410011, Hunan, China.
Wei ZhouHospital Administration Institute, Xiangya Hospital, Central South University, Xiangya Road 87, Changsha, 410008, Hunan, China.
Mei ZhaoDepartment of Social Medicine and Health Management, Xiangya School of Public Health, Central South University, Upper Mayuanlin Road 238, Changsha, 410008, Hunan, China.
Dan QiuDepartment of Social Medicine and Health Management, Xiangya School of Public Health, Central South University, Upper Mayuanlin Road 238, Changsha, 410008, Hunan, China.
Yi-Lu LiDepartment of Social Medicine and Health Management, Xiangya School of Public Health, Central South University, Upper Mayuanlin Road 238, Changsha, 410008, Hunan, China.
Shui-Yuan XiaoMental Health Center, Xiangya Hospital, Central South University, Xiangya Road 87, Changsha, 410008, Hunan, China. xiaosy@csu.edu.cn.ORCID http://orcid.org/0000-0002-7770-3797
Central South University · CN

Funding

"CMB-CSU" Collaborative Program for Mental Health Policy Development (II) 14-188National Natural Science Foundation of China 71804197
6 · The paper itself

Abstract

backgroundThe 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.

methodsThe 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.

resultsFindings 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.

conclusionsThis 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.

Indexed as

AdultAnxietyAnxiety DisordersCaregiversDepressionDepressive DisorderFemaleHumansLinear ModelsMaleMiddle AgedPsychometricsQuality of LifeSchizophreniaSurveys and QuestionnairesAnxietyCutoffDepressionSchizophreniaThe Zarit Burden Interview (ZBI)

Identifiers

PMID31089989
OpenAlexW2945357307

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.