Random forest model combined with LASSO regression to analyze the influencing factors of aggressive behavior among high school students
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摘要:
目的 分析高中生攻击性行为的影响因素,对相关变量进行重要性排序并可视化呈现,为该行为的干预措施制定提供新的参考依据。 方法 2024年12月采用方便抽样法在武汉市5所高中选取5 330名高中生进行线上问卷调查,包括Buss-Perry攻击性量表、交往焦虑量表、情绪管理量表、父母和同伴依恋量表及自编一般情况调查表。采用LASSO回归筛选变量后进行Logistic多因素回归分析,并利用随机森林模型进行变量重要性排序与可视化。 结果 单因素分析与LASSO回归结果显示,性别、情绪管理能力、父母亲依恋质量、父母管教方式、父母教养方式是否一致、家庭人均月收入、学校风气、与同学关系、交往焦虑及成绩位置均为显著变量(P值均 < 0.01)。多因素Logistic回归结果显示,情绪管理能力(OR=0.38,95%CI=0.34~0.43)、性别(OR=0.83,95%CI=0.75~0.93)、母亲依恋质量(OR=0.89,95%CI=0.74~1.07)、父亲依恋质量(OR=0.76,95%CI=0.66~0.87)、交往焦虑(OR=1.58,95%CI=1.40~1.78)、父母教养方式是否一致(OR=1.40,95%CI=1.21~1.62)、学校风气(OR=1.50,95%CI=1.14~1.98)、成绩位置(中上游:OR=0.76,95%CI=0.61~0.93;中游:OR=0.70,95%CI=0.57~0.86)是高中生攻击性行为的影响因素(P值均 < 0.05)。随机森林结果显示情绪管理能力是影响高中生攻击性行为的最主要因素。 结论 情绪管理能力被确认为青少年攻击性行为的核心预测因子,可通过提升情绪管理能力来降低高中生攻击性行为发生率。 Abstract:Objective To analyze the influencing factors of aggressive behaviors in high school students, rank the importance of relevant variables with visual presentation, so as to provide new references for developing intervention strategies. Methods In December 2024, a convenience sampling method was used to select 5 330 students from 5 high schools in Wuhan for an online questionnaire survey. The survey included the Buss-Perry Aggression Questionnaire (BPAQ), Interaction Anxiety Scale (IAS), Emotion Regulation Ability Scale, Inventory of Parent and Peer Attachment (IPPA), and a self-designed general information questionnaire. Variables were screened using LASSO regression, followed by multivariate Logistic regression analysis. The Random Forest model was then employed to rank and visualize variable importance. Results Univariate analysis and LASSO regression results indicated that gender, emotion regulation capability, paternal attachment quality, maternal attachment quality, maternal parenting style, paternal parenting style, parenting consistency, monthly household income per capita, school climate, relationship with classmates, interaction anxiety, and academic ranking were all significant variables (all P < 0.01). Multivariate Logistic regression analysis identified the following as influencing factors of aggressive behaviors in high school students: emotional management ability (OR=0.38, 95%CI=0.34-0.43), gender (OR=0.83, 95%CI=0.75-0.93), mother attachment quality (OR=0.89, 95%CI=0.74-1.07), father attachment quality (OR=0.76, 95%CI=0.66-0.87), interaction anxiousness (OR=1.58, 95%CI=1.40-1.78), consistency of parenting styles of parents (OR=1.40, 95%CI=1.21-1.62), school atmosphere (OR=1.50, 95%CI=1.14-1.98), academic performance ranking (upper-middle: OR=0.76, 95%CI=0.61-0.93; middle: OR=0.70, 95%CI=0.57-0.86) were the influencing factors of aggressive behavior in high school students (all P < 0.05). The results of Random Forest showed that emotional management ability was the most important factor affecting aggressive behavior in high school students. Conclusion Emotion regulation capability is identified as the core predictor of adolescent aggressive behaviors, which can significantly reduce the incidence of aggressive behaviors through enhanced emotion management. -
Key words:
- Models, statistical /
- Regression analysis /
- Aggression /
- Students
1) 利益冲突声明 所有作者声明无利益冲突。 -
表 1 不同组别高中生高攻击行为报告率比较
Table 1. Comparison of reporting rate of high aggressive behavior of different groups among high school students
组别 选项 人数 高攻击行为人数 χ2值 P值 组别 选项 人数 高攻击行为人数 χ2值 P值 交往焦虑 轻度 2 852 1 066(37.4) 135.43 < 0.01 父母教养方式 一致 4 212 1 754(41.6) 79.18 < 0.01 重度 2 478 1 320(53.3) 是否一致 不一致 1 118 632(56.5) 情绪管理能力 较弱 2 616 1 538(58.8) 408.79 < 0.01 家庭人均 >5 000 664 330(49.7) 7.79 < 0.02 较强 2 714 848(31.2) 月收入/元 1 000~5 000 3 387 1 501(44.3) 父亲依恋质量 较低 2 930 1 543(52.7) 164.10 < 0.01 < 1 000 1 279 555(43.4) 较高 2 400 843(35.1) 居住地社会风气 较好 2 549 1 021(40.1) 62.91 < 0.01 母亲依恋质量 较低 2 632 1 436(54.6) 201.71 < 0.01 一般 2 559 1 225(47.9) 较高 2 698 950(35.2) 较差 222 140(63.1) 同伴依恋质量 较低 2 695 1 328(49.3) 44.86 < 0.01 学校风气 较好 2 418 957(39.6) 69.84 < 0.01 较高 2 635 1 058(40.2) 一般 2 583 1 228(47.5) 性别 男 2 483 1 149(46.3) 4.28 < 0.04 较差 329 201(61.1) 女 2 847 1 237(43.4) 与老师关系 较好 2 703 1 075(39.8) 70.48 < 0.01 父亲管教方式 严格 4 026 1 678(41.7) 74.63 < 0.01 一般 2 520 1238(49.1) 溺爱 392 205(52.3) 较差 107 73(68.2) 漠不关心 219 123(56.2) 与同学关系 较好 3 771 1 578(41.8) 49.02 < 0.01 粗暴 33 27(81.8) 一般 1 501 770(51.3) 变化无常 660 353(53.5) 较差 58 38(65.5) 母亲管教方式 严格 3 800 1 582(41.6) 64.56 < 0.01 成绩位置 上游 588 276(46.9) 33.28 < 0.01 溺爱 635 324(51.0) 中上游 1 541 644(41.8) 漠不关心 111 67(60.4) 中游 1 827 769(42.1) 粗暴 29 23(79.3) 中下游 1 037 516(49.8) 变化无常 755 390(51.7) 下游 337 181(53.7) 父亲期望 读研/留学 1 286 573(44.6) 27.45 < 0.01 好朋友数量/个 0 63 39(61.9) 32.98 < 0.01 上大学 3 588 1 571(43.8) 1 108 66(61.1) 能有工作就行 373 183(49.1) 2~3 1 062 522(49.2) 无所谓 83 59(71.1) ≥4 4 097 1 759(42.9) 母亲期望 读研/留学 1 296 563(43.4) 19.38 < 0.01 自我外表满意度 非常满意 708 276(39.0) 49.82 < 0.01 上大学 3 530 1 560(44.2) 比较满意 1 904 801(42.1) 能有工作就行 435 217(50.1) 一般 2 480 1 161(46.8) 无所谓 69 46(66.7) 不满意 178 107(60.1) 非常不满意 60 41(68.3) 注:()内数字为报告率/%。 表 2 高中生攻击性行为影响因素的多因素Logistic回归分析(n=5 330)
Table 2. Multivariable Logistic analysis of aggressive behaviors in high school students(n=5 330)
自变量 选项 β值 标准误 Wald χ2值 P值 OR值(95%CI) 情绪管理能力 较强 -0.96 0.06 250.87 < 0.01 0.38(0.34~0.43) 性别 女 -0.19 0.06 9.54 < 0.01 0.83(0.74~0.93) 母亲依恋质量 较高 -0.39 0.07 31.11 < 0.01 0.89(0.74~1.07) 父亲依恋质量 较高 -0.28 0.07 16.26 < 0.01 0.76(0.66~0.87) 交往焦虑 较重 0.46 0.06 57.18 < 0.01 1.58(1.40~1.78) 父母教养方式是否一致 不一致 0.33 0.08 19.73 < 0.01 1.40(1.21~1.62) 学校风气 一般 0.07 0.07 0.95 0.33 1.07(0.93~1.23) 较差 0.41 0.14 8.37 < 0.01 1.50(1.14~1.98) 成绩位置 中上游 -0.28 0.11 6.98 0.01 0.76(0.61~0.93) 中游 -0.36 0.11 11.90 < 0.01 0.70(0.57~0.86) 中下游 -0.21 0.12 3.27 0.07 0.81(0.65~1.02) 下游 -0.30 0.15 3.81 0.05 0.74(0.55~1.00) -
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