江苏省9~10岁小学生抑郁影响因素分析及风险预测模型的构建  

Influencing factors and risk prediction model for depression in primary school children aged 9-10 years in Jiangsu Province

作　　者：姬广军[1] 秦士森 刘荣勋[1,2] 贾成浩 王宁 魏栋帅[1] 刘沣毅 杨路涵 位彦鸽 王洋[2] 张然 王菲 杨婕 Ji Guangjun;Qin Shisen;Liu Rongxun;Jia Chenghao;Wang Ning;Wei Dongshuai;Liu Fengyi;Yang Luhan;Wei Yange;Wang Yang;Zhang Ran;Wang Fei;Yang Jie(Xinxiang Medical University,Xinxiang 453003,China;the Affiliated Brain Hospital of Nanjing Medical University,Nanjing 210029,China;the Eighth People′s Hospital of Zhengzhou,Zhengzhou 450015,China;School of Public Health,Nanjing Medical University,Nanjing 211166,China;Jiangsu Provincial Center for Disease Control and Prevention,Nanjing 210029,China)

机构地区：[1]新乡医学院,新乡453003 [2]南京医科大学附属脑科医院,南京210029 [3]郑州市第八人民医院,郑州450015 [4]南京医科大学公共卫生学院,南京211166 [5]江苏省疾病预防控制中心,南京210029

出　　处：《中华实用儿科临床杂志》2023年第10期774-778,共5页Chinese Journal of Applied Clinical Pediatrics

基　　金：河南省高等教育教学改革研究与实践项目(2021SJGLX189Y);河南省教育科学规划一般课题(2023YB0135);新乡市社科联调研课题(SKL-2023-118);新乡医学院研究生科研创新支持计划项目(YJSCX202241Y)。

摘　　要：目的分析江苏省9~10岁小学生抑郁的影响因素,构建抑郁风险预测模型。方法回顾性分析。选取江苏省3地3所小学9~10岁的小学生1162名作为研究对象,采集人口学资料、抑郁-焦虑-压力量表(DASS-21)、长处和困难问卷(SDQ)和家庭环境量表(FES)。根据DASS-21量表的抑郁得分将受试者分为对照组(1059例)和抑郁组(103例)。采用多因素Logistic回归分析抑郁影响因素并构建预测模型。结果对照组与抑郁组在地区经济发展水平、身体活动、学习成绩、学生干部、父亲和母亲文化、父母争吵频率、SDQ量表和FES量表子维度上差异均有统计学意义(均P<0.05)。地区经济发展水平(苏北和苏南)、学生干部、父亲文化(初中和小学及以下)及FES量表的亲密度是小学生抑郁的保护因素;SDQ量表的情绪症状、同伴交往问题和困难总分及FES量表的矛盾性是小学生抑郁的风险因素。根据影响因素得到模型方程:Logit(P)=-1.390×地区经济发展水平(苏北)-1.508×地区经济发展水平(苏南)-1.248×学生干部-2.206×父亲文化(小学及以下)-1.145×父亲文化(初中)+3.316×SDQ情绪症状+0.979×SDQ同伴交往问题+2.520×SDQ困难总分-1.697×FES亲密度+0.760×FES矛盾性-0.678。受试者工作特征曲线下面积为0.931,敏感度为85.42%,特异度为91.83%。结论地区经济发展水平、班级或学校班干部、父亲文化、同伴交往问题、困难总分、家庭亲密度、家庭环境的矛盾性是江苏省9~10岁小学生抑郁的影响因素,以此构建预测模型能有效评估其抑郁风险,有助于小学生抑郁的早期识别和干预。Objective To analyze the influencing factors for depression in primary school children aged 9-10 years in Jiangsu Province,and to construct a risk prediction model.Methods A retrospective study.A total of 1162 primary school children aged 9-10 years from 3 primary schools in 3 regions of Jiangsu Province were recruited.Their demographic data were collected,and they were surveyed by the Depression Anxiety Stress Scales-21(DASS-21),the Strengths and Difficulties Questionnaire(SDQ),and the Family Environment Scale(FES).Children were divided into control group(1059 cases)and depression group(103 cases)based on the depression scores obtained from the DASS-21 scale.Multivariate Logistic regression analysis was used to analyze the influencing factors for depression in primary school students aged 9-10 and construct a risk prediction model.Results There were significant differences in the economic development region,physical activities,academic performance,student cadres,parents′education level,frequency of parental quarrels,SDQ and FES dimension scores between control group and depression group(all P<0.05).Among them,economic development areas(Northern Jiangsu and Southern Jiangsu),student cadres,father′s education level(elementary school and below)and intimacy of the FES scale were protective factors for depression in elementary school children;while emotional symptoms,peer problems and the total difficulty score in the SDQ scale,and the conflict in the FES scale were the risk factors for depression in elementary school children.The prediction model was created based on the influencing factors:Logit(P)=-1.390×economic development area(Northern Jiangsu)-1.508×economic development area(Southern Jiangsu)-1.248×student cadres-2.206×father′s education level(primary school and below)-1.145×father′s education level(junior high school)+3.316×emotional symptoms in the SDQ+0.979×peer problems in the SDQ+2.520×total difficulty score in the SDQ-1.697×cohesion in the FES+0.760×conflict in the FES-0.678.The area un

关 键 词：小学生 抑郁 影响因素 预测模型 

分 类 号：R179[医药卫生—妇幼卫生保健]