TY - JOUR
T1 - Changes in Compliance With Personal Preventive Measures and Mental Health Status Among Chinese Factory Workers During the COVID-19 Pandemic
T2 - An Observational Prospective Cohort Study
AU - Yuan, Jinqiu
AU - Cao, Bolin
AU - Zhang, Changhua
AU - Chan, Paul Shing fong
AU - Xin, Meiqi
AU - Fang, Yuan
AU - Chen, Yaoxi
AU - Huang, Dongfeng
AU - Li, Lifang
AU - Xuan, Xujun
AU - Zhang, Gengpeng
AU - Pan, Yihang
AU - He, Yulong
AU - Wang, Zixin
N1 - Funding Information:
This study was funded by the Startup Fund of 100 Top Talents Program, Sun Yat-sen University (grant Number 392012) and the National Key Research and Development Program (grant number 2018YFA0902801).
Publisher Copyright:
Copyright © 2022 Yuan, Cao, Zhang, Chan, Xin, Fang, Chen, Huang, Li, Xuan, Zhang, Pan, He and Wang.
PY - 2022/3/10
Y1 - 2022/3/10
N2 - Coronavirus Disease 2019 (COVID-19) vaccination together with good compliance with personal preventive measures may help eradicate the ongoing pandemic. This observational prospective cohort study investigated the changes in compliance with personal preventive measures, depressive symptoms, and sleep quality among factory workers within a 3-month follow-up period. A total of 663 workers were recruited by a stratified multi-stage cluster sampling in March 2020, and all of them completed a follow-up survey three months later. Multilevel logistic and linear regression models (level 1: factories; level 2: individual participants) were fitted. A significant decline was observed in consistent facemask wearing in workplace (from 98.0 to 90.3%, P < 0.001) and in other public spaces (from 97.1 to 94.4%, P = 0.02), sanitizing hands (from 70.9 to 48.0%, P < 0.001), household disinfection (from 47.7 to 37.9%, P < 0.001) and probable depression (from 14.9 to 1.5%, P < 0.001) over the follow-up period. A significant improvement in avoiding crowded places (from 69.8 to 77.4%, P = 0.002) and sleep quality (proportion of participants reporting poor sleep quality dropped from 3.9 to 1.2%, P = 0.002) was also observed. Efforts are needed to maintain compliance with personal preventive measures during the pandemic. Mental health problems were uncommon and likely to be one-off among Chinese factory workers.
AB - Coronavirus Disease 2019 (COVID-19) vaccination together with good compliance with personal preventive measures may help eradicate the ongoing pandemic. This observational prospective cohort study investigated the changes in compliance with personal preventive measures, depressive symptoms, and sleep quality among factory workers within a 3-month follow-up period. A total of 663 workers were recruited by a stratified multi-stage cluster sampling in March 2020, and all of them completed a follow-up survey three months later. Multilevel logistic and linear regression models (level 1: factories; level 2: individual participants) were fitted. A significant decline was observed in consistent facemask wearing in workplace (from 98.0 to 90.3%, P < 0.001) and in other public spaces (from 97.1 to 94.4%, P = 0.02), sanitizing hands (from 70.9 to 48.0%, P < 0.001), household disinfection (from 47.7 to 37.9%, P < 0.001) and probable depression (from 14.9 to 1.5%, P < 0.001) over the follow-up period. A significant improvement in avoiding crowded places (from 69.8 to 77.4%, P = 0.002) and sleep quality (proportion of participants reporting poor sleep quality dropped from 3.9 to 1.2%, P = 0.002) was also observed. Efforts are needed to maintain compliance with personal preventive measures during the pandemic. Mental health problems were uncommon and likely to be one-off among Chinese factory workers.
KW - Chinese factory workers
KW - compliance with personal preventive measures
KW - COVID-19
KW - depressive symptoms
KW - observational prospective cohort study
KW - sleep quality
UR - http://www.scopus.com/inward/record.url?scp=85127384701&partnerID=8YFLogxK
U2 - 10.3389/fpubh.2022.831456
DO - 10.3389/fpubh.2022.831456
M3 - Journal article
C2 - 35359764
AN - SCOPUS:85127384701
SN - 2296-2565
VL - 10
JO - Frontiers in Public Health
JF - Frontiers in Public Health
M1 - 831456
ER -