Evidence map›Paper›PMID 40158158›Full record

ArticleBMC psychiatry2025

Poor performance of PHQ-9 and GAD-7 in screening clinical depression and anxiety among a large sample of Chinese children and adolescents.

Sifan Wang, Jin Lu, Guiqing Zheng, Yandie He, Shuqing Liu, Yi Xiang, Xinyi Liu, Xiang Wang, Yuanyuan Xiao

Abstract read
In one paragraph

Article in BMC psychiatry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

9 authors.

Sifan Wang *NHC Key Laboratory of Drug Addiction Medicine, Division of Epidemiology and Health Statistics, School of Public Health, Kunming Medical University, 1168 West Chunrong Road, Kunming, Yunnan, 650500, China.
Jin Lu *Psychiatry Department, The First Affiliated Hospital, Kunming Medical University, Kunming, Yunnan, China.
Guiqing ZhengNHC Key Laboratory of Drug Addiction Medicine, Division of Epidemiology and Health Statistics, School of Public Health, Kunming Medical University, 1168 West Chunrong Road, Kunming, Yunnan, 650500, China.
Yandie HeNHC Key Laboratory of Drug Addiction Medicine, Division of Epidemiology and Health Statistics, School of Public Health, Kunming Medical University, 1168 West Chunrong Road, Kunming, Yunnan, 650500, China.
Shuqing LiuNHC Key Laboratory of Drug Addiction Medicine, Division of Epidemiology and Health Statistics, School of Public Health, Kunming Medical University, 1168 West Chunrong Road, Kunming, Yunnan, 650500, China.
Yi XiangNHC Key Laboratory of Drug Addiction Medicine, Division of Epidemiology and Health Statistics, School of Public Health, Kunming Medical University, 1168 West Chunrong Road, Kunming, Yunnan, 650500, China.
Xinyi LiuNHC Key Laboratory of Drug Addiction Medicine, Division of Epidemiology and Health Statistics, School of Public Health, Kunming Medical University, 1168 West Chunrong Road, Kunming, Yunnan, 650500, China.
Xiang WangNHC Key Laboratory of Drug Addiction Medicine, Division of Epidemiology and Health Statistics, School of Public Health, Kunming Medical University, 1168 West Chunrong Road, Kunming, Yunnan, 650500, China.
Yuanyuan XiaoNHC Key Laboratory of Drug Addiction Medicine, Division of Epidemiology and Health Statistics, School of Public Health, Kunming Medical University, 1168 West Chunrong Road, Kunming, Yunnan, 650500, China. 33225647@qq.com.

Funding

National Natural Science Foundation of China 72264019National Natural Science Foundation of China 82360670Scientific Research Fund Project of Yunnan Provincial Department of Education 2023Y0799The First-Class Discipline Team of Kunming Medical University 2024XKTDTS16The Union Project of Yunnan Science and Technology Bureau and Kunming Medical University 202401AY070001-001
6 · The paper itself

Abstract

backgroundThe Patient Health Questionnaire (PHQ-9) and the Generalized Anxiety Disorder scale (GAD-7) are widely used symptom-based instruments for screening depression and anxiety. However, their validation in Chinese children and adolescents remains insufficient. We aim to investigate the performance and optimal cut-offs of PHQ-9 and GAD-7 in Chinese children and adolescents in screening clinical depression and anxiety, and to discuss the influencing factors of the cut-offs.

methodsThe study subjects were chosen from 3 sites of the Mental Health Survey for Children and Adolescents in Yunnan (MHSCAY), a total of 2,237 participants who had been screened positive by self-administered questionnaire and further diagnosed by using the gold standard were included in the final analysis. The Receiver Operating Characteristic (ROC) curves were used to determine the discriminative ability of the two instruments, measured by using the area under curve (AUC). The optimal cut-offs of the two instruments were determined by the maximum Youden's index. A series of stratified analyses were performed to discover the best cut-offs for children and adolescents of different characteristics. Logistic regression models were adopted to evaluate the influence of self-harm (SH) on identified optimal cut-offs.

resultsWe found the performance was generally poor for both the PHQ-9 and GAD-7 in screening clinical depression and anxiety in our study sample, with the AUCs ranged only between 0.622-0.712. When using the two instruments for diagnosis purpose, 11 was the optimal cut-off for both clinical depression and anxiety (AUC for PHQ-9: 0.664, AUC for GAD-7: 0.669). For study subjects of different age, gender, race, and left-behind status, discordant cut-offs were identified. SH also showed conspicuous influence on the optimal cut-offs of PHQ-9 and GAD-7, and the combination of SH information can increase screening accuracy of PHQ-9 in some subgroups.

conclusionsBoth the PHQ-9 and GAD-7 showed poor performance in screening clinical depression and anxiety in our study sample. This crucial finding suggests that, despite the wide use of the two scales, they might be fundamentally inadequate for depression and anxiety screening in Chinese children and adolescents. Other screening tools of higher accuracy should be developed and used in this age group.

Indexed as

AnxietyAnxiety DisordersDepressionDepressive DisorderPatient Health QuestionnairePsychiatric Status Rating ScalesAdolescentChildChinaEast Asian PeopleFemaleHumansMaleMass ScreeningPsychometricsROC CurveAdolescentsAnxietyChildrenDepressionGAD-7Optimal cut-offPHQ-9

Identifiers

PMID40158158
PMCPMC11955134

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LicenceCC BY-NC-ND
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Registered trials

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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.