Prevalence of depressive symptoms and its correlates among medical students in China: a national survey in 33 universities

抑郁症状 社会经济地位 萧条(经济学) 医学 贝克抑郁量表 中国 精神科 人口学 临床心理学 心理学 老年学 环境卫生 焦虑 人口 社会学 经济 宏观经济学 法学 政治学
作者
Xiong‐Fei Pan,Ying Wen,Yun Zhao,Junmei Hu,Siqi Li,Shaokai Zhang,Xiangyun Li,Hong Chang,Qingping Xue,Zhi-Mei Zhao,Yan Gu,Changchang Li,Yuqing Zhang,Xiao-Wei Sun,Chun-Xia Yang,Christine Fu
出处
期刊:Psychology Health & Medicine [Taylor & Francis]
卷期号:21 (7): 882-889 被引量:72
标识
DOI:10.1080/13548506.2015.1127395
摘要

We conducted a national survey among medical students in China to estimate the prevalence of depressive symptoms and explore associated risk factors based on an established questionnaire composed of demographic information, life events in the past four weeks before survey, and the validated Chinese version of the 21-item Beck's Depression Inventory (BDI). The mean age of enrolled 9010 students was 20.7 (standard deviation: 1.6) years. BDI scores indicated that 19.9% had depressive symptoms based on the cut-off score of 14. Socioeconomic factors and student characteristics such as male sex, low monthly income per capita, father's poor education background, and higher year of study were associated with higher prevalence of depressive symptoms among medical students. Students who studied in comprehensive universities were more likely to have depressive symptoms compared with those from medical universities. Habitual smoking and alcohol drinking, sleep deprivation, and hospitalization or medication for one week or more in the last four weeks also predisposed students to higher risk of depressive symptoms. Our results indicate that depressive symptoms are becoming a highly prevalent health problem among Chinese medical students. Primary and secondary prevention should be prioritized to tackle this issue based on potential risk factors.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
自然发布了新的文献求助10
刚刚
1秒前
1秒前
1秒前
lyra完成签到,获得积分10
2秒前
2秒前
yy应助王洪采纳,获得10
3秒前
3秒前
Tsing完成签到,获得积分10
3秒前
4秒前
yy完成签到,获得积分10
5秒前
edge发布了新的文献求助10
5秒前
5秒前
搜集达人应助神明_采纳,获得10
5秒前
6秒前
开朗的曼柔完成签到 ,获得积分10
6秒前
科研通AI6.4应助程禾呈采纳,获得10
7秒前
xBiomeOS发布了新的文献求助10
7秒前
v0id应助Decadezb采纳,获得10
8秒前
忧郁的半兰完成签到 ,获得积分10
8秒前
搜集达人应助Decadezb采纳,获得10
8秒前
8秒前
程雪完成签到,获得积分10
9秒前
5Only完成签到,获得积分10
9秒前
9秒前
科研通AI6.2应助wph采纳,获得10
10秒前
Violet完成签到,获得积分10
10秒前
Lizhe发布了新的文献求助10
11秒前
11秒前
纯真的翠绿完成签到,获得积分10
11秒前
wanci应助123采纳,获得10
12秒前
13秒前
怜寒发布了新的文献求助10
15秒前
儒雅笑蓝完成签到,获得积分10
15秒前
太阳与地球完成签到,获得积分20
16秒前
16秒前
zzz发布了新的文献求助20
16秒前
美味蟹黄堡完成签到,获得积分10
16秒前
16秒前
情怀应助淳淳111采纳,获得10
16秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Essentials of Carbohydrate Chemistry and Biochemistry, 4th Edition 800
Navigating Normative Orders. Interdisciplinary Perspectives 800
Organizational Behavior 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
CLSI VET01S-2024 Performance Standards for Antimicrobial Disk and Dilution Susceptibility Tests for Bacteria Isolated From Animals (7th Ed) 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 计算机科学 化学工程 工程类 有机化学 物理 复合材料 生物化学 内科学 细胞生物学 基因 遗传学 免疫学 冶金 光电子学 癌症研究
热门帖子
关注 科研通微信公众号,转发送积分 7763872
求助须知:如何正确求助?哪些是违规求助? 9308193
关于积分的说明 20304307
捐赠科研通 7348576
什么是DOI,文献DOI怎么找? 3314104
关于科研通互助平台的介绍 2463790
邀请新用户注册赠送积分活动 2328246