高级检索

青少年睡眠质量与抑郁症状关系的随访研究：基于XGBoost模型预测

Predicting depressive symptoms from sleep quality in adolescents: a longitudinal study using the XGBoost algorithm

    摘要
  • 摘要:
    目的 探究青少年睡眠质量不同维度对抑郁症状的影响，为青少年抑郁症状的预防提供参考依据。
    方法 于2023年9—11月，采用分层整群抽样方法随机抽取武汉市初中、高中、职高各2所共2 373名青少年进行基线调查。并于2024年9—11月进行随访，使用匹兹堡睡眠质量指数量表（PSQI）、流行病学调查中心抑郁量表（CES-D）进行调查。采用最小绝对收缩和选择算子回归（LASSO）筛选影响因素，使用梯度增强决策树算法（XGBoost）构建预测模型，以受试者工作曲线下面积（AUC）评估预测效能。
    结果 武汉市青少年基线调查和随访时的抑郁症状检出率分别为31.73%、32.28%。PSQI总分中位数（四分位距）为4（2～6）分。随访时有抑郁症状者的PSQI总分（5分）、入睡时间得分（1分）和日间功能障碍得分（2分）显著高于无抑郁症状者的3、0、1分（均P<0.05）。LASSO 回归结果显示，基线抑郁症状（β=0.15）、日间功能障碍（β=0.04）、入睡时间（β=0.02）、睡眠障碍（β=0.02）是随访抑郁症状的影响因素，预测模型的AUC值为 0.775（95%CI=0.739～0.812）。基线抑郁症状和日间功能障碍对随访抑郁症状的影响最大（贡献度分别为0.36、0.20），两者交互效应值为0.022（95%CI=0.020～0.023）。
    结论 日间功能障碍是预测青少年未来抑郁症状的关键睡眠风险因素，且与基线抑郁症状存在交互作用，显著放大其后续抑郁风险。

     

    Abstract:
    Objective To investigate the impacts of different dimensions of sleep quality on depressive symptoms among adolescents, thus providing evidence for the prevention of depressive symptoms among adolescents.
    Methods A baseline survey was conducted from September to November 2023 for 2 373 adolescents selected by stratified cluster sampling from two junior high schools, two senior high schools, and two vocational high schools in Wuhan city. A follow-up survey was conducted from September to November 2024. The Pittsburgh Sleep Quality Index (PSQI) and the Center for Epidemiologic Studies Depression Scale (CES-D) were used for the investigation. The Least Absolute Shrinkage and Selection Operator (LASSO) regression was employed to screen the influencing factors, and the eXtreme Gradient Boosting (XGBoost) algorithm was adopted to construct a prediction model. The prediction performance was evaluated by the area under the curve (AUC).
    Results The detection rates of depressive symptoms among adolescents in Wuhan were 31.73% at baseline and 32.28% at the one-year follow-up. The median (interquartile range) PSQI total score was 4 (2–6). Adolescents with depressive symptoms at follow-up had higher PSQI total score (5 vs. 3), sleep latency subscale score (1 vs. 0), and daytime dysfunction subscale score (2 vs. 1) than those without depressive symptoms (all P < 0.05). LASSO regression results indicated that baseline depressive symptoms (β = 0.15), daytime dysfunction (β = 0.04), sleep latency (β = 0.02), and sleep disturbances (β = 0.02) were influencing factors for follow-up depressive symptoms. The prediction model achieved an AUC of 0.775 (95%CI: 0.739–0.812). Baseline depressive symptoms and daytime dysfunction had the greatest impacts on follow-up depressive symptoms (with contributions of 0.36 and 0.20, respectively), and their interaction effect value was 0.022 (95%CI: 0.020–0.023).
    Conclusions Daytime dysfunction is a key sleep-related risk factor for future depressive symptoms among adolescents. It interacts with baseline depressive symptoms, significantly amplifying the risk of subsequent depression.

     

    • HTML全文
    • 参考文献(33)
    • 相关文章
    • 施引文献
  • 资源附件(0)

/

返回文章
返回