网络分析法在青少年抑郁症状、心理韧性与心理健康素养间关联研究中的应用

Application of network analysis to the associations among depressive symptoms, psychological resilience and mental health literacy in adolescents

  • 摘要:
    目的 探索青少年抑郁症状、心理韧性与心理健康素养之间的关联特征,为青少年抑郁症状的干预提供新的研究视角。
    方法 采用分层多阶段整群抽样方法,于2024年12月—2025年1月,在上海市普陀区中小学选取2 723名10~18岁的学生开展调查。采用患者健康问卷抑郁量表(PHQ⁃9,总分0~27分,≥10分判定为抑郁症状阳性)、青少年心理韧性量表(RSCA,总分27~135分)、心理健康核心知识知晓率调查问卷(总分0~10分)分别评估青少年的抑郁症状、心理韧性和心理健康素养水平。以PHQ⁃9的9个条目(包括快感缺失、心境低落、睡眠问题、感觉疲劳、食欲问题、感觉内疚、专注困难、精神运动性症状和自伤或自杀想法)、RSCA的5个维度(包括目标专注、情绪控制、积极认知、家庭支持和人际协助)及心理健康素养总分作为节点构建网络模型,分析各节点之间的关联结构,并计算标准化节点强度、标准化预期影响和标准化桥梁预期影响。
    结果 PHQ⁃9量表得分为(4.62±5.27)分,抑郁症状检出率为15.28%;RSCA得分为(97.71±20.58)分;心理健康素养得分为9.00 (8.00,10.00)分。网络分析显示,情绪控制和心境低落为网络核心节点(标准化节点强度分别为1.74和0.97);二者形成抑郁症状与心理韧性网络间的主要连接(边权重为-0.17);心理健康素养和积极认知为连接抑郁症状与心理韧性网络的主要桥梁节点(标准化桥梁预期影响系数分别为1.42和1.27)。
    结论 心境低落、情绪控制、积极认知及心理健康素养与青少年抑郁症状、心理韧性和心理健康素养密切相关,加强对情绪调节能力、积极认知和心理健康素养的针对性干预,可能有助于青少年抑郁症状防控。

     

    Abstract:
    Objective To explore the associations among depressive symptoms, psychological resilience, and mental health literacy in adolescents, so as to provide new insights for interventions targeting adolescent depressive symptoms.
    Methods A stratified multistage cluster sampling method was employed to select 2 723 students aged 10‒18 years from primary and secondary schools at different educational stages in Putuo District of Shanghai from December 2024 to January 2025. The Patient Health Questionnaire-9 (PHQ-9, total score 0‒27, with a score ≥10 indicating positive depressive symptoms), the Resilience Scale for Chinese Adolescents (RSCA, total score 27‒135), and a mental health core knowledge awareness questionnaire (total score 0‒10) were utilized to assess depressive symptoms, psychological resilience, and mental health literacy, respectively. A network model was constructed using the nine PHQ-9 items (including anhedonia, depressed mood, sleep problems, fatigue, appetite problems, guilt, trouble concentrating, psychomotor symptoms, and self-harm or suicidal thoughts), five RSCA dimensions (including goal orientation, emotion regulation, positive cognition, family support, and interpersonal assistance), and the total mental health literacy score as nodes to analyze the association structure among these nodes. Standardized node strength, standardized expected influence, and standardized bridge expected influence were calculated.
    Results The PHQ-9 score was 4.62±5.27, yielding a positive screening rate for depressive symptoms of 15.28%. The scores of the RSCA and mental health literacy were 97.71±20.58 and 9.00 (8.00, 10.00), respectively. Network analyses revealed that emotion regulation and depressed mood were core nodes in the network (standardized strength values were 1.74 and 0.97); they constituted the main connection between depressive symptoms and psychological resilience networks (edge weight was -0.17). Mental health literacy and positive cognition served as the main bridge nodes linking depressive symptoms and psychological resilience (standardized bridge expected influence values were 1.42 and 1.27).
    Conclusion Depressed mood, emotion regulation, positive cognition, and mental health literacy are closely associated with depressive symptoms, psychological resilience, and mental health literacy in adolescents. Strengthening interventions targeting emotion regulation, positive cognition and mental health literacy may contribute to the prevention and control of depressive symptoms among adolescents.

     

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