目的 探讨自陈式量表结合眼动数据对某部青年抑郁状态的客观评价,为实施心理干预措施提供参考。方法 2023-04至2024-04采用症状自评量表 (SCL-90)、抑郁自评量表(SDS)和抑郁症状群量表(PHQ-9) 对某部200名青年进行心理测评。根据得分进行抑郁状态分组,并采集抑郁状态和正常组受试对象的眼动数据,提取数据集中的眼动特征,采用机器学习算法工具建立抑郁状态分类模型,并验证该模型对某部青年抑郁状态筛查的分类准确率。结果 发放问卷200份,有效问卷169份,有效率84.5%。将某部青年SCL-90测评结果与军人及地方常模比较,结果显示测试人群SCL-90得分低于军人及地方常模,差异具有统计学意义(P＜0.01)。通过眼动数据建立人群分类模型,对某部青年抑郁状态人群的分类准确率为79.29%。结论 基于被试眼动数据建立的机器学习算法分类模型,能够初步实现抑郁状态高危人群的客观化识别,辅助传统心理测评量表对抑郁状态的甄别。
Abstract
Objective To explore the objective evaluation of depressive state of the youth in a certain unit with self-report scale combined with eye movement data, and to provide reference for the implementation of psychological intervention measures. Methods The Symptom Checklist 90 (SCL-90), Self-Rating Depression Scale (SDS) and Patient Health Questionnaire-9 (PHQ-9) were used to conduct psychological assessment on 200 young people from a certain unit from April 2023 to April 2024. According to the scores, depressive states were grouped, and the youth were divided into a depression group and a normal group. The eye movement data of subjects were collected, and the eye movement features were extracted. A depression classification model was established by using machine learning algorithm tools, and the classification accuracy of the model for a certain young people's depressive state screening was verified. Results A total of 200 questionnaires were distributed, and 169 were valid, with an effective rate of 84.5%.. By comparing the test results of SCL-90 with those of soldiers and local norms, the results showed that the scores of SCL-90 were lower than those of soldiers and local norms, and the difference was statistically significant (P＜0.01) . A population classification model was established by using eye movement data, and the classification accuracy of the youth depression was 79.29%. Conclusions The machine learning algorithm classification model based on the eye movement data of the subjects can initially realize the objective identification of high-risk groups of depressive states, and assist the traditional psychological assessment scale to identify depressive states.
关键词
眼动 /
抑郁状态 /
心理健康
Key words
eye movement /
depressive state /
mental health
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