Please wait a minute...
文章检索
预防医学  2023, Vol. 35 Issue (3): 196-199,204    DOI: 10.19485/j.cnki.issn2096-5087.2023.03.003
  论著 本期目录 | 过刊浏览 | 高级检索 |
某区中小学生抑郁症状调查
张丛笑1, 郑琳1, 沈利明1, 黄闽燕1, 陈晖1, 牛星凯1, 宋凯2
1.杭州市西湖区疾病预防控制中心卫生监测科,浙江 杭州 310031;
2.杭州市疾病预防控制中心,浙江 杭州 310021
Prevalence and influencing factors of depressive symptoms among primary and middle school students in some district
ZHANG Congxiao1, ZHENG Lin1, SHEN Liming1, HUANG Minyan1, CHEN Hui1, NIU Xingkai1, SONG Kai2
1. Health Monitoring Section, Xihu Center for Disease Control and Prevention, Hangzhou, Zhejiang 310031, China;
2. Hangzhou Center for Disease Control and Prevention, Hangzhou, Zhejiang 310021, China
全文: PDF(882 KB)  
输出: BibTeX | EndNote (RIS)      
摘要 目的 了解杭州市西湖区中小学生抑郁症状发生情况及影响因素,为防治中小学生抑郁提供依据。方法 于2021年9—11月,采用分层整群随机抽样方法,抽取西湖区2所小学、2所初中、2所普通高中和1所职业高中的学生为调查对象,通过问卷调查收集人口学信息、饮食、运动、睡眠和校园欺凌情况,采用中文版流调中心抑郁量表评估抑郁症状;采用多因素logistic回归模型分析中小学生抑郁症状的影响因素。结果 调查1 518人,其中男生805人,占53.03%;小学、初中、普通高中和职业高中学生分别占34.12%、23.91%、30.50%和11.46%。检出有抑郁症状学生590例,检出率为38.87%;小学、初中、普通高中和职业高中学生抑郁症状检出率分别为36.10%、42.42%、42.33%和30.46%。多因素logistic回归分析结果显示,女生(OR=1.601,95%CI:1.289~1.989)、学校类型(初中,OR=1.299,95%CI:0.974~1.734;普通高中,OR=1.351,95%CI:1.025~1.780;职业高中,OR=0.862,95%CI:0.585~1.272)、新鲜蔬菜摄入频率(<1次/d,OR=0.454,95%CI:0.304~0.679;≥1次/d,OR=0.359,95%CI:0.235~0.548)、上网时长(0.5~1 h/d,OR=1.447,95%CI:1.044~2.006;≥1 h/d,OR=1.456,95%CI:1.072~1.978)、睡眠充足(OR=0.525,95%CI:0.371~0.744)、受到校园欺凌(OR=1.992,95%CI:1.491~2.661)与中小学生抑郁症状有统计学关联。结论 西湖区中小学生抑郁症状检出率较高,性别、学校类型、饮食行为、睡眠时间和校园欺凌经历是影响因素。
服务
把本文推荐给朋友
加入引用管理器
E-mail Alert
RSS
作者相关文章
张丛笑
郑琳
沈利明
黄闽燕
陈晖
牛星凯
宋凯
关键词 学生抑郁症状影响因素    
AbstractObjective To investigate the prevalence and influencing factors of depressive symptoms among primary and middle school students in Xihu District, Hangzhou City, so as to provide insights into depression control among primary and middle school students. Methods Students were sampled from two primary schools, two junior high schools, two ordinary high schools and one vocational high school in Xihu District using a stratified cluster random sampling method from September to November, 2021. Participants' demographics, diet, exercise, sleep and campus bullying were collected using questionnaire surveys. The depressive symptoms were evaluated using the Chinese version of the Center for Epidemiologic Studies-Depression Scale (CES-D), and factors affecting the depressive symptoms were identified among primary and middle school students using a multivariable logistic regression model. Results A total of 1 518 students were investigated, including 518 primary school students (34.12%), 363 junior high school students (23.91%), 463 ordinary high school students (30.50%) and 174 vocational high school students (11.46%). Of all participants, there were 805 males (53.03%). The prevalence of depressive symptoms was 38.87% among the participants, and was 36.10%, 42.42%, 42.33% and 30.46% among primary school, junior high school, ordinary high school and vocational high school students, respectively. The multivariable logistic regression analysis showed that gender (OR=1.601, 95%CI: 1.289-1.989), type of school (junior high school, OR=1.299, 95%CI: 0.974-1.734; ordinary high school, OR=1.351, 95%CI: 1.025-1.780; vocational high school, OR=0.862, 95%CI: 0.585-1.272), frequency of fresh vegetable intake (less than once daily, OR=0.454, 95%CI: 0.304-0.679; once and more daily, OR=0.359, 95%CI: 0.235-0.548), duration spent on the internet (0.5 to 1 h daily, OR=1.447, 95%CI: 1.044-2.006; 1 h and longer daily, OR=1.456, 95%CI: 1.072-1.978), sufficient sleep (OR=0.525, 95%CI: 0.371-0.744), suffering from campus bullying (OR=1.992, 95%CI: 1.491-2.661) were associated with the development of depressive symptoms. Conclusions The prevalence of depressive symptoms is high among primary and middle school students in Xihu District. Gender, type of school, dietary behaviors, sleep duration and campus bullying are factors affecting the development of depressive symptoms.
Key wordsstudent    depressive symptom    influencing factor
收稿日期: 2022-10-25      出版日期: 2023-05-08
中图分类号:  R749.4  
通信作者: 宋凯,E-mail:512553859@qq.com   
作者简介: 张丛笑,硕士,主管医师,主要从事卫生监测与流行病学研究工作
引用本文:   
张丛笑, 郑琳, 沈利明, 黄闽燕, 陈晖, 牛星凯, 宋凯. 某区中小学生抑郁症状调查[J]. 预防医学, 2023, 35(3): 196-199,204.
ZHANG Congxiao, ZHENG Lin, SHEN Liming, HUANG Minyan, CHEN Hui, NIU Xingkai, SONG Kai. Prevalence and influencing factors of depressive symptoms among primary and middle school students in some district. Preventive Medicine, 2023, 35(3): 196-199,204.
链接本文:  
http://www.zjyfyxzz.com/CN/10.19485/j.cnki.issn2096-5087.2023.03.003      或      http://www.zjyfyxzz.com/CN/Y2023/V35/I3/196
[1] 李娟娟,章荣华,邹艳,等.浙江省青少年抑郁症状的影响因素分析[J].预防医学,2021,33(2):139-142.
[2] 刘福荣,吴梦凡,董一超,等.小学生抑郁症状检出率的meta分析[J].中国心理卫生杂志,2021,35(6):482-488.
[3] 刘福荣,宋晓琴,尚小平,等.中学生抑郁症状检出率的meta分析[J].中国心理卫生杂志,2020,34(2):123-128.
[4] RADLOFF L S.The CES-D scale:a self-report depression scale for research in the general population[J].Appl Psychol Meas,1977,1(3):385-401.
[5] 陈祉妍,杨小冬,李新影.流调中心抑郁量表在我国青少年中的试用[J].中国临床心理学杂志,2009,17(4):443-445.
[6] 章婕,吴振云,方格,等.流调中心抑郁量表全国城市常模的建立[J].中国心理卫生杂志,2010,24(2):139-143.
[7] Word Health Organization.WHO guidelines on physical activity and sedentary behaviour[R/OL].Geneva:Word Health Organization,2020[2023-01-18].https://www.who.int/zh/news~room/fact~~sheets/detail/physical~activity.
[8] 中华人民共和国卫生部,中国国家标准化管理委员会.中小学生一日学习时间卫生要求:GB/T 17223—2012[S].北京:中国标准出版社,2012.
[9] 贺万静,蔡云.毕节市中学生抑郁症状与遭受校园欺凌分析[J].预防医学情报杂志,2021,37(4):539-544.
[10] 郑利锋,杨开仁,谭素仙,等.青少年抑郁症状现况调查[J].预防医学,2018,30(4):338-344.
[11] 丁慧思. 儿童期创伤与青少年抑郁症状的关系:心理弹性的中介与调节作用[D].武汉:华中科技大学,2017.
[12] 金桂花. 小学生手机依赖、自我韧性与抑郁的相关性研究[D].延吉:延边大学,2019.
[13] 靳晓霞. 郑州某中学学生抑郁症状与父母教养方式的关系[D].郑州:郑州大学,2016.
[14] 邓厚才,杨敬源,邓冰,等.中学生心理社会因素与抑郁关系[J].中国公共卫生,2012,28(10):1274-1277.
[15] LIPMAN S,GARDENER H,RUNDEK T,et al.Short sleep is associated with more depressive symptoms in a multi-ethnic cohort of older adults[J].Sleep Med,2017,40:58-62.
[16] 刘晓芹. 成年人蔬菜水果的摄入与抑郁关系研究[D].青岛:青岛大学,2016.
[17] 夏娟,张玲.职业人群蔬菜和水果摄入状况及其与抑郁、焦虑和压力症状的相关性[J].中国食物与营养,2022,28(8):57-62.
[18] 谢家树,梅里.中学生欺凌受害对其内化问题的影响:有调节的中介模型[J].心理学探新,2019,39(4):379-384.
[1] 景正伟, 宁艳, 常文辉, 周超, 任强, 董丽芳, 贾华, 许诗瑶, 王志锋. 高校MSM人群HIV感染学生生存质量分析[J]. 预防医学, 2023, 35(4): 291-294.
[2] 王倩倩, 章涛, 李傅冬, 林君芬, 何凡, 俞敏, 曹亦菲. 老年人群白内障的影响因素分析[J]. 预防医学, 2023, 35(4): 311-315.
[3] 卢小敏, 赵继娟, 孙中友, 张学艳, 陈盛兰. 盐城市儿童青少年健康危险行为聚集情况调查[J]. 预防医学, 2023, 35(4): 331-334.
[4] 吴子怡, 闫馨, 艾丽孜热·艾尼瓦尔, 杜文琪. 孕期增重过度的影响因素分析[J]. 预防医学, 2023, 35(4): 345-349.
[5] 余繁荣, 王伟, 闫玉琴, 宋黎桥, 陈莉媛, 苏少晨. 玛曲县藏族小学生患龋的影响因素分析[J]. 预防医学, 2023, 35(3): 239-242.
[6] 彭佳, 曹友琴, 荣冬芸, 刘玉杰, 吕宝坤, 曹煜. 贵阳市在校大学生电子烟相关知识、态度、行为调查[J]. 预防医学, 2023, 35(3): 253-257.
[7] 谢睿, 胡菊莲, 喻喆. 妊娠糖尿病患者生活质量的影响因素研究[J]. 预防医学, 2023, 35(2): 162-165.
[8] 王婷婷, 李馨. 育龄期女性卵巢储备功能下降的影响因素分析[J]. 预防医学, 2023, 35(2): 158-161.
[9] 韩俊丽, 刘洋, 高大维, 孙婕, 徐鹏鹏, 龚天麒, 胡颉颖, 曹艳宏, 吕勇. 耶尔森菌病危险因素的病例对照研究[J]. 预防医学, 2023, 35(2): 93-98.
[10] 杨秀琳, 马宗康, 马霞, 马鑫. 东乡族自治县农村居民传染病健康素养调查[J]. 预防医学, 2023, 35(2): 166-170.
[11] 倪晶, 马超猛, 项思成, 贾翁萍, 张燕, 徐利. 骨科术后患者排便障碍的影响因素及干预研究进展[J]. 预防医学, 2023, 35(2): 126-129,133.
[12] 姜佳佳, 李峰, 房冬冬, 尤文君, 王伟伟. 2型糖尿病患者非增殖型糖尿病性视网膜病变的影响因素分析[J]. 预防医学, 2023, 35(1): 17-20.
[13] 马丽, 梁智超, 陈阳贵, 张为胜, 毛宏凯, 胥婉婷, 曹明芹. 2010—2019年乌鲁木齐市学生结核病病例发现延迟、就诊延迟、确诊延迟分析[J]. 预防医学, 2023, 35(1): 53-56,60.
[14] 常进科, 张俊绘, 赵文芳, 刘爱菊. 孕妇体重自我管理动机水平的影响因素分析[J]. 预防医学, 2022, 34(9): 946-950.
[15] 孙楷城, 陈劲华, 朱志宏, 黄葵青, 傅爽. 义乌市小学生营养综合干预效果评价[J]. 预防医学, 2022, 34(9): 964-967.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed