基於FasterRisk機器學習模型，開發適用於中國兒童青少年的兒童焦慮相關情緒障礙篩查 (SCARED) 最佳簡短量表

Development of the Screen for Child Anxiety Related Emotional Disorders (SCARED) optimal short scale for Chinese children and adolescents: based on FasterRisk machine learning modeling

——《BMC公共衛生》第25卷第2980號文，2025年8月30日——

Volume 25, Article number: 2980, Published: 30 August 2025

【摘要】背景：兒童焦慮相關情緒障礙篩查表（SCARED），是廣泛使用的焦慮評估工具，但其41個條目的格式使其在識別高焦慮風險兒童青少年方面耗時費力。本研究旨在利用一種新型機器學習方法——快速準確可解釋風險評分（FasterRisk），開發一個適用於中國兒童青少年的SCARED優化版本，以提高預測和干預的效率。方法：在中國河南省，8315名4至9歲兒童青少年接受了完整版SCARED量表和社會人口統計學信息。利用FasterRisk模型篩選構建中文版SCARED的最佳條目，並採用受試者工作特徵（ROC）曲線確定最佳截斷值。結果：結果表明，5個條目的中文版SCARED能夠準確再現整的SCARED評分。通過評估包含1至8個條目的風險評分模型的性能，5條目模型在AUC（0.96）和其他性能指標方面均表現出色，且具有較高的預測精度（R²= 0.82）。在條目數相同的情況下，新開發的5條目中文版SCARED的AUC值（0.96）優於現有的SCARED-5（0.92），最佳截斷分數確定為14。結論：5條目中文版SCARED是一個可靠的自評工具，可幫助時間和資源有限的用戶評估中國兒童青少年的焦慮狀況。

【關鍵詞】 兒童焦慮相關情緒障礙篩查表，焦慮，中國兒童青少年，FasterRisk

[Abstract] Background: Although the Screen for Child Anxiety Related Emotional Disorders (SCARED) is a widely used tool for assessing anxiety, its 41-item format makes it a time-intensive method for identifying children and adolescents at high risk of anxiety. This study aims to develop an optimized version of the SCARED for Chinese children and adolescents using a novel machine learning approach, Fast and Accurate Interpretable Risk Scores (FasterRisk), to improve the efficiency of prediction and intervention. Method: The full version of the SCARED scale and sociodemographic information were given to 8,315 children and adolescents aged 4–9 years in Henan Province, China. The FasterRisk model was utilized to select the optimal items for constructing the Chinese version of SCARED, and receiver operating characteristic (ROC) curves were employed to determine the optimal cutoff scores. Results: The results showed that a 5-item Chinese version of the SCARED accurately reproduced full SCARED scores. By evaluating the performance of risk scoring models containing 1 to 8 items, the 5-item model showed the best performance in AUC (0.96), and other performance indicators, with high prediction accuracy (R²= 0.82). Under the condition of an equal number of items, the AUC value of the newly developed 5-item Chinese version of the SCARED (0.96) surpassed that of the existing SCARED-5 (0.92), with the optimal cutoff score determined to be 14. Conclusion: The 5-item Chinese version of the SCARED is a reliable self-report tool that aids users with limited time and resources in assessing anxiety among children and adolescents in China.

[Key words] SCARED, Anxiety, Chinese children and adolescents, FasterRisk

論文原文：Jina Li, Tianyu Liang, Yi Hou, Gengchao Wang & Zhiyong Qu (2025). Development of the Screen for Child Anxiety Related Emotional Disorders (SCARED) optimal short scale for Chinese children and adolescents: based on FasterRisk machine learning modeling. BMC Public Health, Volume 25, Article number: 2980, Published: 30 August 2025.

https://doi.org/10.1186/s12889-025-24187-w

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