Prevalence and associated factors of anxiety among the population in an urban area of China: a cross-sectional study

Author:

Wang Qingqing,Zhang Juhua,Yao Huiqing,Jin Pengfei,Zhao FeiORCID,Zhang Peng

Abstract

ObjectiveThis study was conducted to explore the prevalence and associated factors of anxiety disorder among the population in an urban area of China.DesignA cross-sectional study.SettingThe study was conducted in Shanghai, China.ParticipantsResidents aged 30–70 years who have lived for over 6 months in Shanghai from December 2018 to April 2019 were included in the study.Outcome measuresThe main study outcome was the prevalence of anxiety. The association of demographic information, medical expenses, living habits and sleep conditions with anxiety was also evaluated based on the collected data using structured questionnaires.ResultsAmong 5063 participants, 498 (9.84%, 95% CI: 9.02% to 10.66%) suffered from anxiety. The female sex, age 60–70 years old, lower educational level, partly self-expenses, higher family medical expenses in the past year, stroke history, hypertension history, dyslipidaemia history, diabetes history, drinking, sleeping on average <6 hours per day and waking up suffocating during sleep were associated with a higher prevalence of anxiety (p<0.05). Multivariate logistic regression analysis showed that age, gender, type of medical expenses, family medical expenses, hours of sleep and waking up suffocating were related to anxiety (p<0.05).ConclusionsOur findings showed an alarmingly high prevalence of anxiety in the population living in an urban area of China. Sleep time <6 hours and waking up suffocating had a significant association with anxiety. These findings suggest that future anxiety prevention programmes in urban areas should incorporate interventions targeted at these factors, such as improving residents’ sleep quality.

Funder

Chinese Pharmaceutical Association-Servier Youth Hospital Pharmaceutical Innovation Research Funding Project

Key Discipline Project of Health System in Pudong New Area of Shanghai

Publisher

BMJ

Subject

General Medicine

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3