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评估用于青少年抑郁症筛查的树状图测试抑郁评估量表。

Evaluating the Tree Drawing Test Depression Assessment Scale for adolescent depression screening.

作者信息

Liu Guorui, Liu Wei, Wen Jing, Liu Yige, Jin Hui, Li Ziyang, Zhang Yanfei

机构信息

Department of Medical Psychology, No. 905 Hospital of PLA Navy, Shanghai, 200052, China.

Suzhou Guangji Hospital, Suzhou, 215000, China.

出版信息

Sci Rep. 2025 Jul 1;15(1):20984. doi: 10.1038/s41598-025-99254-8.


DOI:10.1038/s41598-025-99254-8
PMID:40594844
Abstract

To assess the effectiveness of the Tree Drawing Test Depression Assessment Scale in screening for depressive disorders among adolescents. This study adopted a case-control design involving 50 adolescents diagnosed with depressive disorders and 54 healthy controls. Participants were administered the Tree Drawing Test (TDT), a subjective projective assessment tool that evaluates psychological states through the analysis of individually drawn tree images. In addition, computerized image recognition and data acquisition technologies were employed. The Tree Drawing Depression Assessment Scale was used for evaluation, and the results were subjected to statistical analysis. The total score differences between the depression group and the control group were statistically significant (p < 0.001). With a cutoff score of 13, the Youden Index was 0.761, sensitivity was 0.780, specificity was 0.981, and the positive and negative predictive values were 0.952 and 0.839, respectively. The Cohen's Kappa coefficient between the two raters ranged from 0.753 to 0.977. The Tree Drawing Depression Assessment Scale demonstrates good screening efficacy and effectively distinguishes adolescents with depressive disorders from healthy controls. It can serve as a preliminary screening tool for adolescent depression. However, this study has certain limitations, including a relatively small sample size and the absence of consideration for cultural differences, which may affect the generalizability of the findings. Future research should expand the sample size and examine the tool's applicability across different cultural contexts.

摘要

评估树木绘画测验抑郁评估量表在青少年抑郁症筛查中的有效性。本研究采用病例对照设计,纳入50名被诊断为抑郁症的青少年和54名健康对照者。参与者接受了树木绘画测验(TDT),这是一种主观投射性评估工具,通过分析个人绘制的树木图像来评估心理状态。此外,还采用了计算机图像识别和数据采集技术。使用树木绘画抑郁评估量表进行评估,并对结果进行统计分析。抑郁组和对照组的总分差异具有统计学意义(p < 0.001)。截断分数为13时,约登指数为0.761,灵敏度为0.780,特异度为0.981,阳性预测值和阴性预测值分别为0.952和0.839。两位评估者之间的 Cohen's Kappa系数在0.753至0.977之间。树木绘画抑郁评估量表显示出良好的筛查效果,能够有效区分患有抑郁症的青少年和健康对照者。它可以作为青少年抑郁症的初步筛查工具。然而,本研究存在一定局限性,包括样本量相对较小以及未考虑文化差异,这可能会影响研究结果的普遍性。未来的研究应扩大样本量,并检验该工具在不同文化背景下的适用性。

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Evaluating the Tree Drawing Test Depression Assessment Scale for adolescent depression screening.

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本文引用的文献

[1]
Validity of evaluation scales for post-stroke depression: a systematic review and meta-analysis.

BMC Neurol. 2024-8-15

[2]
[Association between self-control and co-occurrence of depressive symptoms and overweight or obesity during adolescence and early adulthood: A ten-year prospective cohort study based on national surveys].

Beijing Da Xue Xue Bao Yi Xue Ban. 2024-6-18

[3]
Analysis of the screening and predicting characteristics of the house-tree-person drawing test for mental disorders: A systematic review and meta-analysis.

Front Psychiatry. 2023-1-4

[4]
The Tree Drawing Test in Evolution: An Explorative Longitudinal Study in Alzheimer's Disease.

Am J Alzheimers Dis Other Demen. 2022

[5]
Screening for Depression and Suicide Risk in Children and Adolescents.

JAMA. 2022-10-18

[6]
Screening for Depression and Suicide Risk in Children and Adolescents: Updated Evidence Report and Systematic Review for the US Preventive Services Task Force.

JAMA. 2022-10-18

[7]
Characteristics of House-Tree-Person Drawing Test in Junior High School Students with Depressive Symptoms.

Clin Child Psychol Psychiatry. 2023-10

[8]
Depression in young people.

Lancet. 2022-8-20

[9]
Examination of the validity of the 'Papadum test': An alternative to the clock drawing test for people with low levels of education.

Clin Neuropsychol. 2023-7

[10]
Is neurofeedback effective in children with ADHD? A systematic review and meta-analysis.

Neurocase. 2022-2

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