基于二元Logistic回归模型分析HPT轴相关激素和炎症因子与青少年非自杀性自伤风险的关系
作者:
作者单位:

作者简介:

通讯作者:

基金项目:

内蒙古医学科学院公立医院科研联合基金科技项目( 2023GLLH0145)


Analysis of the relationship between hypothalamic-pituitary-thyroid axis hormones and inflammatoryfactors and the risk of non-suicidal self-injury in adolescents based on a binary Logistic regressionmodel
Author:
Affiliation:

Fund Project:

  • 摘要
  • |
  • 图/表
  • |
  • 访问统计
  • |
  • 参考文献
  • |
  • 相似文献
  • |
  • 引证文献
  • |
  • 资源附件
  • |
  • 文章评论
    摘要:

    目的 探索下丘脑-垂体-甲状腺(HPT)轴激素和炎症因子水平在非自杀性自伤(NSSI) 青少年中的变化情况及其与青少年NSSI的风险关系。方法 选取2024 年3 月—2025 年5 月在内蒙古 自治区精神卫生中心门诊就诊的62 例青少年抑郁症患者为研究对象,根据是否存在NSSI 行为将其分为 单纯抑郁组(n=19)和伴NSSI 抑郁组(n=43)。通过采集肘静脉血液标本,检测HPT轴激素及炎症因子水 平。采用二元Logistic 回归方法构建基于HPT轴激素与炎症因子的青少年NSSI 风险预测模型,并绘制 受试者工作特征(ROC)曲线,用曲线下面积(AUC)、最佳临界值、相应的敏感度与特异度评估诊断模型 的预测性能。结果 与单纯抑郁组比较,伴NSSI 抑郁组的促甲状腺素(TSH)水平降低[(1.50±0.79)比 (2.41±1.40);t=3.267,P=0.002],中性粒细胞-淋巴细胞比率(NLR)水平增高[(2.29±1.29)比(1.39±0.44); t=-2.942,P=0.005]。二元Logistic 回归分析结果显示,TSH 下降(OR=0.415,95%CI:0.212~0.813, P=0.010)和NLR升高(OR=16.941,95%CI:1.586~180.996,P=0.019)与青少年NSSI 的风险增高显著相关。 ROC曲线分析显示,TSH、NLR预测青少年NSSI风险的AUC分别为0.690、0.715,两者联合预测的AUC为 0.794(P < 0.05)。结论 TSH及炎症相关指标NLR 水平均是青少年发生NSSI 的独立关联因素,且对于 青少年NSSI 发生的风险有预测作用。

    Abstract:

    Objective To explore the changes in hypothalamic-pituitary-thyroid( HPT) axis hormones and inflammatory factor levels in non-suicidal self-injury( NSSI) adolescents, and investigate the risk relationship with NSSI in adolescents. Methods A total of 62 depressive disorder adolescents who visited the Outpatient Department of Inner Mongolia Mental Health Center from March 2024 to May 2025 were selected as research subjects. Patients were divided into a depression-only group( n=19) and a depression-with-NSSI group (n=43) based on the presence of NSSI. Levels of HPT axis hormones and inflammatory factors were measured by collecting blood samples from the elbow vein. A binary Logistic regression model was used to construct a risk prediction model for adolescent NSSI based on HPT axis and inflammatory factors, and a receiver operating characteristic( ROC) curve was plotted. The predictive performance of the diagnostic model was evaluated using the area under the curve( AUC), optimal cutoff value, sensitivity and specificity. Results Compared with depression-only group, depression-with-NSSI group exhibited decreased thyroid-stimulating hormone( TSH) levels[ (1.50±0.79) vs.( 2.41±1.40); t=3.267, P=0.002], and increased neutrophil-to-lymphocyte ratio (NLR) levels[ (2.29±1.29) vs.( 1.39±0.44); t=-2.942, P=0.005], with statistically significant differences. Binary Logistic regression analysis revealed that decreased TSH[ OR=0.415, 95%CI( 0.212, 0.813), P=0.010] and increased NLR[ OR=16.941, 95%CI( 1.586, 180.996), P=0.019] were statistically associated with an increased risk of adolescent NSSI. ROC curve analysis revealed that the AUC for predicting adolescent NSSI risk were 0.690 for TSH and 0.715 for NLR, with a combined AUC of 0.794( P<0.05). Conclusions Both TSH and the inflammatory factor NLR are independent predictors of NSSI in adolescents, and have predictive effects on the risk of NSSI in adolescents.

    参考文献
    相似文献
    引证文献
引用本文

王玥,张利,阙建宇,高海飞,陈丽霞.基于二元Logistic回归模型分析HPT轴相关激素和炎症因子与青少年非自杀性自伤风险的关系[J].神经疾病与精神卫生,2026,26(2):121-
DOI :10.3969/j. issn.1009-6574.2026.02.007.

复制
文章指标
  • 点击次数:
  • 下载次数:
历史
  • 收稿日期:
  • 最后修改日期:
  • 录用日期:
  • 在线发布日期: 2026-02-09