Coronavirus Disease 2019 (COVID-19) Epidemic and Mental Health Status in the General Adult Population of Serbia: A Cross-Sectional Study

焦虑 萧条(经济学) 心理健康 医学 人口 横断面研究 大流行 雪球取样 精神科 人口学 疾病 心理学 临床心理学 环境卫生 2019年冠状病毒病(COVID-19) 内科学 社会学 经济 传染病(医学专业) 病理 宏观经济学
作者
Isidora S Vujcic,Teodora Safiye,Bojana Milikić,Emina Popović,Draško Dubljanin,Eleonora Dubljanin,Jakša Dubljanin,Milanko Čabarkapa
出处
期刊:International Journal of Environmental Research and Public Health [MDPI AG]
卷期号:18 (4): 1957-1957 被引量:69
标识
DOI:10.3390/ijerph18041957
摘要

Since its outbreak, coronavirus disease 2019 (COVID-19) has rapidly spread throughout the world. The Serbian government declared a state of emergency on 15 March 2020, implementing some of Europe's strictest measures to combat the pandemic. The aim of this study was to determine the impact of the COVID-19 epidemic on the mental health of the general adult Serbian population and to identify associated factors during the state of emergency and lockdown. Data were collected with a snowball sampling method between 23 March and 25 April 2020, by using an online questionnaire. Multiple ordinal regression was performed to establish the associations between socio-demographic characteristics, self-estimated health status, and depression, anxiety, and stress. Out of 1057 participants included in the study, 28.9%, 36.9%, and 38.1% reported moderate to severe depression, anxiety, and stress symptoms. Uneasiness related to COVID-19 news, the feeling of helplessness, likeliness of impending death, and presence of COVID-19 symptoms were associated with higher depression, anxiety, and stress scores. Current smoking status was associated with a higher risk of depression and stress. Students had a significantly higher level of depression and stress, while older age was protective against anxiety and stress. Higher socioeconomic status was significantly associated with lower levels of depression, anxiety, and stress.

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
大幅提高文件上传限制,最高150M (2024-4-1)

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
天人合一发布了新的文献求助10
刚刚
1秒前
2秒前
肉脸小鱼发布了新的文献求助10
2秒前
3秒前
顾矜应助CC采纳,获得10
4秒前
4秒前
tutu发布了新的文献求助10
4秒前
科研通AI2S应助完美的海秋采纳,获得10
4秒前
sgem完成签到,获得积分10
5秒前
研团团发布了新的文献求助10
5秒前
云游归尘完成签到 ,获得积分10
6秒前
6秒前
徐1完成签到 ,获得积分10
6秒前
6秒前
7秒前
机械腾完成签到,获得积分10
7秒前
SciGPT应助于芋菊采纳,获得10
7秒前
仁和远发布了新的文献求助10
7秒前
上杉绘梨衣关注了科研通微信公众号
8秒前
10秒前
vivid完成签到,获得积分10
11秒前
周贝壳发布了新的文献求助10
11秒前
11秒前
12秒前
科研通AI2S应助qianqian采纳,获得10
15秒前
小美爱科研完成签到,获得积分10
15秒前
15秒前
15秒前
16秒前
16秒前
17秒前
meng若发布了新的文献求助10
20秒前
于芋菊发布了新的文献求助10
20秒前
田様应助将将采纳,获得10
21秒前
lili完成签到 ,获得积分10
24秒前
Singularity应助友好的小翠采纳,获得10
25秒前
科研通AI2S应助完美的海秋采纳,获得10
27秒前
MaFY完成签到,获得积分10
29秒前
小蘑菇应助冬灵采纳,获得10
31秒前
高分求助中
The late Devonian Standard Conodont Zonation 2000
Semiconductor Process Reliability in Practice 1500
Handbook of Prejudice, Stereotyping, and Discrimination (3rd Ed. 2024) 1200
Nickel superalloy market size, share, growth, trends, and forecast 2023-2030 1000
Smart but Scattered: The Revolutionary Executive Skills Approach to Helping Kids Reach Their Potential (第二版) 1000
Mantiden: Faszinierende Lauerjäger Faszinierende Lauerjäger 800
PraxisRatgeber: Mantiden: Faszinierende Lauerjäger 800
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 3243773
求助须知:如何正确求助?哪些是违规求助? 2887609
关于积分的说明 8249256
捐赠科研通 2556298
什么是DOI,文献DOI怎么找? 1384427
科研通“疑难数据库(出版商)”最低求助积分说明 649847
邀请新用户注册赠送积分活动 625794