Abstract

Objective

This study was conducted to explore the prevalence and associated factors of anxiety disorder among the population in an urban area of China.

Design

A cross-sectional study.

Setting

The study was conducted in Shanghai, China.

Participants

Residents 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 measures

The 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.

Results

Among 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).

Conclusions

Our 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.

Details

Title
Prevalence and associated factors of anxiety among the population in an urban area of China: a cross-sectional study
Author
Wang, Qingqing 1 ; Zhang, Juhua 2 ; Yao, Huiqing 1 ; Jin, Pengfei 3 ; Zhao, Fei 3   VIAFID ORCID Logo  ; Zhang, Peng 4 

1  Clinical Trial Center; National Center of Gerontology; Institute of Geriatric Medicine, Chinese Academy of Medical Science; Beijing Key Laboratory of Drug Clinical Risk and Personalized Medication Evaluation, Beijing Hospital, Beijing, People's Republic of China 
2  Department of Integrated Traditional Chinese and Western Medicine, Shanghai University of Medicine and Health Sciences Affiliated Zhoupu Hospital, Shanghai, China 
3  Department of Pharmacy; National Center of Gerontology; Institute of Geriatric Medicine, Chinese Academy of Medical Science; Beijing Key Laboratory of Drug Clinical Risk and Personalized Medication Evaluation, Beijing Hospital, Beijing, People's Republic of China 
4  School of Clinical Medicine, Shanghai University of Medicine and Health Sciences, Shanghai, People's Republic of China 
First page
e062431
Section
Mental health
Publication year
2022
Publication date
2022
Publisher
BMJ Publishing Group LTD
e-ISSN
20446055
Source type
Scholarly Journal
Language of publication
English
DOI
https://doi.org/10.1136/bmjopen-2022-062431
ProQuest document ID
2734647947
Copyright
© 2022 Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. http://creativecommons.org/licenses/by-nc/4.0/ This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See:  http://creativecommons.org/licenses/by-nc/4.0/ . Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.