蚌埠市中学生抑郁症状流行现状及影响因素分析

孙玲丽, 朱飞, 王彩红

安徽预防医学杂志 ›› 2026, Vol. 32 ›› Issue (1) : 28-31.

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安徽预防医学杂志 ›› 2026, Vol. 32 ›› Issue (1) : 28-31. DOI: 10.19837/j.cnki.ahyf.2026.01.006
学生常见病监测专栏

蚌埠市中学生抑郁症状流行现状及影响因素分析

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The prevalence and influencing factors of depressive symptoms among middle school students in Bengbu

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摘要

目的 分析蚌埠市中学生抑郁症状的流行现状及其影响因素,为制定有效干预措施提供科学依据。方法 采用分层整群随机抽样方法,抽取蚌埠市14所初中、11所普通高中和4所职业高中共7 895名中学生进行调查。采用χ2检验对不同类型学生抑郁症状检出率进行比较,采用多因素logistic回归分析抑郁症状的相关因素。结果 2024年蚌埠市中学生抑郁症状检出率为17.56%,女生高于男生(P<0.05),郊县高于城区(P<0.05)。多因素logistic回归分析结果显示,普通高中生(OR=2.071,95%CI:1.807~2.372)、职业高中生(OR=1.569,95%CI:1.274~1.932)、女生(OR=1.683,95%CI:1.486~1.907)、非核心家庭(OR=1.292,95%CI:1.142~1.461)、睡眠不充足(OR=1.461,95%CI:1.242~1.719)、曾经受到严重伤害(OR=1.745,95%CI:1.364~2.232)、遭受校园欺凌(OR=4.961,95%CI:3.611~6.817)、曾被家长打骂(OR=2.987,95%CI:2.517~3.545)、抽烟(OR=1.318,95%CI:1.009~1.721)和饮酒(OR=1.707,95%CI:1.440~2.024)与中学生抑郁症状的发生相关。结论 蚌埠市中学生抑郁症状与校园欺凌、家庭教养及个人行为等多种可干预因素相关。应从中学生的教养方式、校园环境及行为方式等方面加强干预,从而降低蚌埠市中学生抑郁症状的发生率。

Abstract

Objective To explore the prevalence and influencing factors of depressive symptoms among middle school students in Bengbu, and to provide scientific basis for formulating effective intervention measures. Methods A stratified cluster random sampling method was employed to select 7 895 middle school students from 14 junior high schools, 11 regular high schools, and 4 vocational high schools in Bengbu. The Chi-square test was used to compare the detection rates of depressive symptoms among different types of students, and multivariate logistic regression analysis was conducted to identify factors associated with depressive symptoms. Results In 2024, the detection rate of depressive symptoms among middle school students in Bengbu was 17.56%, which was higher in girls than in boys (P<0.05), and higher in counties than in urban areas (P<0.05). The results of the multivariate logistic regression analysis showed that general high school students (OR=2.071, 95%CI: 1.807-2.372), vocational high school students (OR=1.569, 95%CI:1.274-1.932), girls (OR=1.683, 95%CI: 1.486-1.907), non-nuclear families (OR=1.292, 95%CI:1.142-1.461), insufficient sleep (OR=1.461, 95%CI:1.242-1.719), history of serious injuries (OR=1.745, 95%CI:1.364-2.232), exposure to campus bullying (OR=4.961, 95%CI: 3.611-6.817), experience of physically abused by parents (OR=2.987, 95%CI:2.517-3.545), smoking (OR=1.318, 95%CI:1.009-1.721), and alcohol consumption (OR=1.707, 95%CI:1.440-2.024) were associated with the occurrence of depressive symptoms among middle school students. Conclusion The depressive symptoms among middle school students in Bengbu City are associated with multiple modifiable factors, including campus bullying, family upbringing, and individual behaviors. Interventions should be strengthened in aspects such as the parenting styles, campus environment and behavioral patterns of middle school students, so as to reduce the incidence of depressive symptoms among middle school students in Bengbu.

关键词

抑郁症状 / 中学生 / 影响因素 / 蚌埠市

Key words

Depressive symptoms / Middle school students / Influencing factors / Bengbu City

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孙玲丽, 朱飞, 王彩红. 蚌埠市中学生抑郁症状流行现状及影响因素分析[J]. 安徽预防医学杂志. 2026, 32(1): 28-31 https://doi.org/10.19837/j.cnki.ahyf.2026.01.006
SUN Lingli, ZHU Fei, WANG Caihong. The prevalence and influencing factors of depressive symptoms among middle school students in Bengbu[J]. Anhui Journal of Preventive Medicine. 2026, 32(1): 28-31 https://doi.org/10.19837/j.cnki.ahyf.2026.01.006
中图分类号: R179   

参考文献

[1]
Venkatesan P. Gemma Lewis:reducing the rising burden of adolescent depression and anxiety[J]. Lancet Psychiatry, 2023, 10(8):586.
[2]
Salk RH, Hyde JS, Abramson LY. Gender differences in depression in representative national samples: Meta-analyses of diagnoses and symptoms[J]. Psychol Bull, 2017, 143(8):783-822.
In 2 meta-analyses on gender differences in depression in nationally representative samples, we advance previous work by including studies of depression diagnoses and symptoms to (a) estimate the magnitude of the gender difference in depression across a wide array of nations and ages; (b) use a developmental perspective to elucidate patterns of gender differences across the life span; and (c) incorporate additional theory-driven moderators (e.g., gender equity). For major depression diagnoses and depression symptoms, respectively, we meta-analyzed data from 65 and 95 articles and their corresponding national data sets, representing data from 1,716,195 and 1,922,064 people in over 90 different nations. Overall, odds ratio (OR) = 1.95, 95% confidence interval (CI) [1.88, 2.03], and d = 0.27 [0.26, 0.29]. Age was the strongest predictor of effect size. The gender difference for diagnoses emerged earlier than previously thought, with OR = 2.37 at age 12. For both meta-analyses, the gender difference peaked in adolescence (OR = 3.02 for ages 13-15, and d = 0.47 for age 16) but then declined and remained stable in adulthood. Cross-national analyses indicated that larger gender differences were found in nations with greater gender equity, for major depression, but not depression symptoms. The gender difference in depression represents a health disparity, especially in adolescence, yet the magnitude of the difference indicates that depression in men should not be overlooked. (PsycINFO Database Record(c) 2017 APA, all rights reserved).
[3]
Kalin NH. Anxiety, depression, and suicide in youth[J]. Am J Psychiatry, 2021, 178(4):275-279.
[4]
闻立芳, 龚建华, 买迪娜·阿布都斯力木, 等. 深圳市罗湖区青少年负性事件现状及影响因素研究[J]. 实用预防医学, 2021, 28(12):1479-1483.
[5]
奉琪, 陈艳, 吴鑫. 长沙市中学生抑郁症状流行状况及其影响因素分析[J]. 实用预防医学, 2023, 30(8):949-954.
[6]
安徽省疾病预防控制中心. 2024年安徽省学生常见病和健康影响因素监测与干预项目工作手册[Z]. 2024.
[7]
勉丽娜, 陈辉, 韩霄, 等. 北京市东城区中学生抑郁状况及影响因素调查研究[J]. 中国预防医学杂志, 2019, 20(8):724-728.
[8]
海波, 沈蕙, 杨海兵, 等. 苏州市中学生抑郁症状现况及影响因素调查[J]. 实用预防医学, 2022, 29(4):463-466.
[9]
顾昉, 杨颖, 郑卫军, 等. 浙江省2018—2021年中学生抑郁症状及影响因素分析[J]. 中国学校卫生, 2024, 45(4):520-524.
[10]
何作力, 张红亚, 李瑞, 等. 2019年大连市中学生抑郁症状现况及影响因素[J]. 预防医学论坛, 2021, 27(2):88-91.
[11]
陈婷, 范奕, 张子华, 等. 江西省中学生校园受欺凌行为与抑郁的相关性[J]. 中国学校卫生, 2020, 41(4):600-603.
[12]
黄梦圆, 章琴, 唐敏, 等. 安徽省某寄宿制学校初中生抑郁现状及其家庭影响因素研究[J]. 安徽预防医学杂志, 2022, 28(2):101-106.
[13]
何春玲, 孙希望, 刘金川. 铜陵市356名中学生抑郁与焦虑心理状况调查分析[J]. 安徽预防医学杂志, 2020, 26(4):292-295.
[14]
Kuehner C. Why is depression more common among women than among men?[J]. Lancet Psychiatry, 2017, 4(2):146-158.
Women are about twice as likely as are men to develop depression during their lifetime. This Series paper summarises evidence regarding the epidemiology on gender differences in prevalence, incidence, and course of depression, and factors possibly explaining the gender gap. Gender-related subtypes of depression are suggested to exist, of which the developmental subtype has the strongest potential to contribute to the gender gap. Limited evidence exists for risk factors to be specifically linked to depression. Future research could profit from a transdiagnostic perspective, permitting the differentiation of specific susceptibilities from those predicting general psychopathologies within and across the internalising and externalising spectra. An integration of the Research Domain Criteria framework will allow examination of gender differences in core psychological functions, within the context of developmental transitions and environmental settings. Monitoring of changing socioeconomic and cultural trends in factors contributing to the gender gap will be important, as well as the influence of these trends on changes in symptom expression across psychopathologies in men and women.Copyright © 2017 Elsevier Ltd. All rights reserved.
[15]
张丛笑, 郑琳, 沈利明, 等. 某区中小学生抑郁症状调查[J]. 预防医学, 2023, 35(3):196-199,204.
[16]
王超, 吕军城, 张艺琳, 等. 山东省中学生抑郁症状的相关因素[J]. 中国心理卫生杂志, 2023, 37(4):318-325.
[17]
王萌, 陶芳标, 伍晓艳. 儿童青少年焦虑抑郁共病研究进展[J]. 中华预防医学杂志, 2022, 56(7):1011-1016.
[18]
Jadambaa A, Thomas HJ, Scott JG, et al. The contribution of bullying victimisation to the burden of anxiety and depressive disorders in Australia[J]. Epidemiol Psychiatr Sci, 2019, 29:e54.
There is now a strong body of literature showing that bullying victimisation during childhood and adolescence precedes the later development of anxiety and depressive disorders. This study aimed to quantify the burden of anxiety and depressive disorders attributable to experiences of bullying victimisation for the Australian population.
[19]
史珊珊, 周振宇, 符展豪, 等. 浙江省余姚市中学生抑郁症状流行现状及影响因素分析[J]. 疾病监测, 2023, 38(2):201-205.
[20]
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.
[21]
车贝贝, 高晶蓉, 陈德, 等. 上海市中学生抑郁症状流行现状及行为因素对其影响分析[J]. 中国健康教育, 2021, 37(1):27-32.
[22]
张丹, 赵雅烨, 牛茹, 等. 大学生手机依赖与睡眠质量轨迹的纵向关联[J]. 中华预防医学杂志, 2022, 56(12):1828-1833.
[23]
Lippman 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.
To evaluate cross-sectional and prospective associations between short and long sleep duration and depressive symptoms in older adults (aged >65 years).The data from a subsample of the racially/ethnically diverse Northern Manhattan Study were analyzed. Depressive symptoms were assessed twice with the Center for Epidemiologic Studies Depression Scale (CES-D), approximately 5 years apart. The presence of depressive symptoms was defined as a CES-D score ≥16 or use of antidepressants. Self-reports of short (<6 h), intermediate (6-8 h) and long (≥9 h) sleep were assessed prior to the initial CES-D. Logistic regression was used to evaluate the cross-sectional associations between short and long sleep durations with depressive symptoms, using intermediate sleep as the reference. The prospective association between sleep duration and depression in a sample of participants without depressive symptoms at first CES-D was also analyzed. All models were adjusted for demographic, behavioral, and vascular risk factors.The initial sample consisted of 1110 participants: 62% women, 69% Hispanic, 17% black, 14% white. Short sleep was reported by 25%, intermediate sleep by 65%, and long sleep by 9%. Depressive symptoms were described in 25% of the initial sample. Short sleep, but not long sleep, was associated with depressive symptoms at baseline (adjusted OR 1.8, 95% CI 1.3-2.6), and at follow-up (adjusted OR 1.9, 95% CI 1.1-3.5; median follow-up = 5.1 years).Short sleep duration had a cross-sectional and prospective association with depressive symptoms in an urban multi-ethnic cohort of older adults.Copyright © 2017 Elsevier B.V. All rights reserved.
[24]
Blake MJ, Trinder JA, Allen NB. Mechanisms underlying the association between insomnia, anxiety, and depression in adolescence:Implications for behavioral sleep interventions[J]. Clin Psychol Rev, 2018, 63:25-40.
[25]
Rice F, Riglin L, Lomax T, et al. Adolescent and adult differences in major depression symptom profiles[J]. J Affect Disord, 2019, 243:175-181.
[26]
O’Connor BC, Lewandowski RE, Rodriguez S, et al. Usual care for adolescent depression from symptom identification through treatment initiation[J]. JAMA Pediatr, 2016, 170(4):373-380.
Published guidelines describing effective adolescent depression care in primary care settings include screening, assessment, treatment initiation, and symptom monitoring. It is unclear the extent to which these steps are documented in patient health records.To determine rates of appropriate follow-up care for adolescents with newly identified depression symptoms in 3 large health systems.In this analysis conducted from March to September 2014, structured data retrospectively extracted from electronic health records were analyzed for 3 months following initial symptom identification to determine whether the patient was followed up and, if so, whether treatment was initiated and/or symptoms were monitored. Records were collected from 2 large health maintenance organizations in the western United States and a network of community health centers in the Northeast. The study group included adolescents (N = 4612) with newly identified depression symptoms, defined as an elevated score on the Patient Health Questionnaire (≥ 10) and/or a diagnosis of depression.Rates of treatment initiation, symptom monitoring, and follow-up care documented within 3 months of initial symptom identification.Among the 4612 participants, the mean (SD) age at index event was 16.0 (2.3) years, and 3060 were female (66%). Treatment was initiated for nearly two-thirds of adolescents (79% of those with a diagnosis of major depression; n =  023); most received psychotherapy alone or in combination with medications. However, in the 3 months following identification, 36% of adolescents received no treatment (n = 1678), 68% did not have a follow-up symptom assessment (n = 3136), and 19% did not receive any follow-up care (n = 854). Further, 40% of adolescents prescribed antidepressant medication did not have any documentation of follow-up care for 3 months (n = 356). Younger age (ages 15-17 years: odds ratio [OR], 0.78; 95% CI, 0.67-0.92 and ages 18-20 years: OR, 0.83; 95% CI, 0.70-0.99; P =.008), more severe initial symptoms (moderate: OR, 0.99; 95% CI, 0.82-1.21; moderate to severe: OR, 1.46; 95% CI, 1.19-1.80; and severe: OR, 2.14; 95% CI, 1.65-2.79; P <.001), and receiving a diagnosis (major depression/dysthymia: OR, 2.65; 95% CI, 2.20-3.20 and unspecified depression/adjustment disorder: OR, 1.75; 95% CI, 1.43-2.14; P <.001) were significantly associated with treatment initiation. Differences in rates of follow-up care were evident between sites (site 2: OR, 1.77; 95% CI, 1.45-2.16 and site 3: OR, 2.10; 95% CI, 1.72-2.57), suggesting that differences within health systems may also affect care received.Most adolescents with newly identified depression symptoms received some treatment, usually including psychotherapy, within the first 3 months after identification. However, follow-up care was low and substantial variation existed between sites. These results raise concerns about the quality of care for adolescent depression.

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