Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/88619
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dc.contributorSchool of Nursing-
dc.creatorBressington, DT-
dc.creatorCheung, TCC-
dc.creatorLam, SC-
dc.creatorSuen, LKP-
dc.creatorFong, TKH-
dc.creatorHo, HSW-
dc.creatorXiang, YT-
dc.date.accessioned2020-12-22T01:06:19Z-
dc.date.available2020-12-22T01:06:19Z-
dc.identifier.urihttp://hdl.handle.net/10397/88619-
dc.language.isoenen_US
dc.publisherFrontiers Research Foundationen_US
dc.rightsCopyright © 2020 Li, Dong and Zhu. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) (http://creativecommons.org/licenses/by/4.0/). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.en_US
dc.rightsThe following publication Li Y, Dong Y and Zhu D (2020). Copula-Based Vulnerability Analysis of Civil Infrastructure Subjected to Hurricanes. Front. Built Environ. 6:571911. is available at https://dx.doi.org/10.3389/fpsyt.2020.571179en_US
dc.subjectDepressionen_US
dc.subjectHealth belief modelen_US
dc.subjectFace masken_US
dc.subjectCOVID-19en_US
dc.subjectHong Kongen_US
dc.titleAssociation between depression, health beliefs, and face mask use during the COVID-19 pandemicen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage1-
dc.identifier.epage12-
dc.identifier.volume11-
dc.identifier.doi10.3389/fpsyt.2020.571179-
dcterms.abstractThe 2019 novel coronavirus (COVID-19) pandemic is associated with increases in psychiatric morbidity, including depression. It is unclear if people with depressive symptoms understand or apply COVID-19 information differently to the general population. Therefore, this study aimed to examine associations between depression, health beliefs, and face mask use during the COVID-19 pandemic among the general population in Hong Kong. This study gathered data from 11,072 Hong Kong adults via an online survey. Respondents self-reported their demographic characteristics, depressive symptoms (PHQ-9), face mask use, and health beliefs about COVID-19. Hierarchical logistic regression was used to identify independent variables associated with depression. The point-prevalence of probable depression was 46.5% (n = 5,150). Respondents reporting higher mask reuse (OR = 1.24, 95%CI 1.17-1.34), wearing masks for self-protection (OR = 1.03 95%CI 1.01-1.06), perceived high susceptibility (OR = 1.15, 95%CI 1.09-1.23), and high severity (OR = 1.33, 95%CI 1.28-1.37) were more likely to report depression. Depression was less likely in those with higher scores for cues to action (OR = 0.82, 95%CI 0.80-0.84), knowledge of COVID-19 (OR = 0.95, 95%CI 0.91-0.99), and self-efficacy to wear mask properly (OR = 0.90 95%CI 0.83-0.98). We identified a high point-prevalence of probable major depression and suicidal ideation during the COVID-19 outbreak in Hong Kong, but this should be viewed with caution due to the convenience sampling method employed. Future studies should recruit a representative probability sample in order to draw more reliable conclusions. The findings highlight that COVID-19 health information may be a protective factor of probable depression and suicidal ideation during the pandemic. Accurate and up-to-date health information should be disseminated to distressed and vulnerable subpopulations, perhaps using digital health technology, and social media platforms to prompt professional help-seeking behavior.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationFrontiers in psychiatry, 22 . 2020, , v. 11, 571179, p. 1-12-
dcterms.isPartOfFrontiers in psychiatry-
dcterms.issued2020-10-22-
dc.identifier.isiWOS:000585233800001-
dc.identifier.pmid33192697-
dc.identifier.eissn1664-0640-
dc.identifier.artn571179-
dc.description.validate202012 bcrc-
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_Scopus/WOSen_US
dc.description.pubStatusPublisheden_US
dc.description.oaCategoryCCen_US
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