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Low depression literacy exacerbates the development and progression of depressive mood in Chinese adult social media users during Covid-19

A 3-month observational online questionnaire-based study with multiple cross-sectional analyses

Bibliographic Data

ID22070171
AuthorsDan Shan (0000-0002-2762-6770, Columbia University, corresponding author), Shaoyang Li (0000-0002-4422-7309, Hong Kong Polytechnic University), Ruichen Xu (0000-0002-4905-0039, University of Wisconsin–Madison), Jingtao Huang (0000-0003-4104-2402, Capital Medical University), Yi Wang (0000-0003-2228-7009, Beijing University of Chinese Medicine), YuanDian Zheng (0000-0001-5023-2887, Columbia University), Shanshan Huang (0009-0007-7134-4475, Second People's Hospital of Yunnan Province), Yuming Song (0009-0005-0464-0720, Hebei Medical University), Junchu Han (Columbia University), Sayaka Suto (Columbia University), Zhihao Dai (Royal College of Surgeons in Ireland)
Year2023
Volume11
Pages1096903-1096903
Publication date2023-02-16
Open AccessYes
TypeARTICLE
VenueFrontiers in Public Health (JOURNAL)
Journal identifiersISSN: 2296-2565 • E-ISSN: 2296-2565
PublisherFrontiers Media SA (PUBLISHER • CH)
DOI10.3389/fpubh.2023.1096903
PMID36875375
OpenAlexW4321089952
LanguageEN
Citations received1
References cited54

Background The main purpose of this study was to explore the relationship between depression literacy (D-Lit) and the development and progression of depressive mood. Methods This longitudinal study with multiple cross-sectional analyses used data from a nationwide online questionnaire administered via the Wen Juan Xing survey platform. Eligible participants were 18 years or older and had subjectively experienced mild depressive moods at the time of their initial enrollment in the study. The follow-up time was 3 months. Spearman's rank correlation test was used to analyze the predictive role of D-Lit on the later development of depressive mood. Results We included 488 individuals with mild depressive moods. No statistically significant correlation between D-Lit and Zung Self-rating Depression Scale (SDS) at baseline was observed (adjusted rho = 0.001, p = 0.974). However, after 1 month (adjusted rho = −0.449, p < 0.001) and after 3 months (adjusted rho = −0.759, p < 0.001), D-Lit was significantly and negatively correlated with SDS. Limitations The targeted subjects were limited to the Chinese adult social media users; meanwhile, China's current management policies for COVID-19 differ from most of the other countries, limiting the generalizability of this study. Conclusion Despite the limitations, our study provided novel evidence supporting that low depression literacy may be associated with exacerbated development and progression of depressive mood, which, if not appropriately and promptly controlled, may ultimately lead to depression. In the future, we encourage further research to explore the practical and efficient ways to enhance public depression literacy

Anxiety · Cross-sectional study · Depressive symptoms · Health care · Health literacy · Literacy · Mood · Observational study · Pathology · Patient Health Questionnaire · Psychiatry · Social media · World Wide Web · Clinical Psychology · Computer Science · Digital Mental Health Interventions · Impact of Technology on Adolescents · Medicine · Mental Health via Writing · Psychology · Internal Medicine

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Citations per year0.5
Citation span2024 - 2024 (1)
Highly citedNo

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