Academic Journal
Analysis of COVID-19-Related Influencing Variables and Post-Traumatic Growth Differences Depending on the Type of Depressive Symptoms Using Latent Profile Analysis
| Τίτλος: | Analysis of COVID-19-Related Influencing Variables and Post-Traumatic Growth Differences Depending on the Type of Depressive Symptoms Using Latent Profile Analysis |
|---|---|
| Συγγραφείς: | Jinhee Hyun, Seok-Joo Kim, Heeguk Kim, Sunju Sohn, Yun-Kyeung Choi, Jong-Sun Lee, Jong-Woo Paik, So Hee Lee, Yu-Ri Lee |
| Πηγή: | Psychiatry Investigation. 23:498-509 |
| Στοιχεία εκδότη: | Korean Neuropsychiatric Association, 2026. |
| Έτος έκδοσης: | 2026 |
| Περιγραφή: | Objective Most existing empirical studies conducted on the public regarding the coronavirus disease 2019 (COVID-19) pandemic have categorized depressive symptoms based on average scores. However, few studies have investigated the actual patterns of depressive symptoms for the public in relation to the COVID-19 pandemic. To address this limitation, this study conducted latent profile analysis and analyzed the predictors and outcomes according to the types of depressive symptoms.Methods This study participants were 2,110 adults aged 19 to 71 years who completed the questionnaire for the 5th COVID-19 National Mental Health Survey conducted in March 2021.Results The three latent profiles were as follows: “overall low-level group” (59.9%), “lethargy and physical symptoms group” (29.8%), and “overall high-level group” (10.3%). Among predictors, younger age, experience of physical and mental health problems of the individual, experience of the indifference of the society/community to the loss and damage, experience of conflict with family members, experience of conflict and distrust with neighbors, experience of fear of personal information disclosure, low level of stress from the trend of media coverage, experience of rows over liability or legal disputes were associated with the likelihood of being classified into the overall high-level group. Analyzing the difference in post-traumatic growth according to the type of depressive symptoms, the overall highlevel group showed the lowest level of post-traumatic growth.Conclusion Considering the identified predictors, effective strategies need to be established to prevent the aggravation of depressive symptoms and to provide adequate interventions. |
| Τύπος εγγράφου: | Article |
| Γλώσσα: | English |
| ISSN: | 1976-3026 |
| DOI: | 10.30773/pi.2025.0390 |
| Rights: | CC BY NC |
| Αριθμός Καταχώρησης: | edsair.doi...........3c87aaa666470f03e13a04fcada4e775 |
| Βάση Δεδομένων: | OpenAIRE |
| FullText | Text: Availability: 0 CustomLinks: – Url: https://resolver.ebsco.com/c/fiv2js/result?sid=EBSCO:edsair&genre=article&issn=19763026&ISBN=&volume=23&issue=&date=20260425&spage=498&pages=498-509&title=Psychiatry Investigation&atitle=Analysis%20of%20COVID-19-Related%20Influencing%20Variables%20and%20Post-Traumatic%20Growth%20Differences%20Depending%20on%20the%20Type%20of%20Depressive%20Symptoms%20Using%20Latent%20Profile%20Analysis&aulast=Jinhee%20Hyun&id=DOI:10.30773/pi.2025.0390 Name: Full Text Finder (for New FTF UI) (ns324271) Category: fullText Text: Full Text Finder MouseOverText: Full Text Finder |
|---|---|
| Header | DbId: edsair DbLabel: OpenAIRE An: edsair.doi...........3c87aaa666470f03e13a04fcada4e775 RelevancyScore: 1034 AccessLevel: 3 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 1033.59704589844 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: Analysis of COVID-19-Related Influencing Variables and Post-Traumatic Growth Differences Depending on the Type of Depressive Symptoms Using Latent Profile Analysis – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Jinhee+Hyun%22">Jinhee Hyun</searchLink><br /><searchLink fieldCode="AR" term="%22Seok-Joo+Kim%22">Seok-Joo Kim</searchLink><br /><searchLink fieldCode="AR" term="%22Heeguk+Kim%22">Heeguk Kim</searchLink><br /><searchLink fieldCode="AR" term="%22Sunju+Sohn%22">Sunju Sohn</searchLink><br /><searchLink fieldCode="AR" term="%22Yun-Kyeung+Choi%22">Yun-Kyeung Choi</searchLink><br /><searchLink fieldCode="AR" term="%22Jong-Sun+Lee%22">Jong-Sun Lee</searchLink><br /><searchLink fieldCode="AR" term="%22Jong-Woo+Paik%22">Jong-Woo Paik</searchLink><br /><searchLink fieldCode="AR" term="%22So+Hee+Lee%22">So Hee Lee</searchLink><br /><searchLink fieldCode="AR" term="%22Yu-Ri+Lee%22">Yu-Ri Lee</searchLink> – Name: TitleSource Label: Source Group: Src Data: <i>Psychiatry Investigation</i>. 23:498-509 – Name: Publisher Label: Publisher Information Group: PubInfo Data: Korean Neuropsychiatric Association, 2026. – Name: DatePubCY Label: Publication Year Group: Date Data: 2026 – Name: Abstract Label: Description Group: Ab Data: Objective Most existing empirical studies conducted on the public regarding the coronavirus disease 2019 (COVID-19) pandemic have categorized depressive symptoms based on average scores. However, few studies have investigated the actual patterns of depressive symptoms for the public in relation to the COVID-19 pandemic. To address this limitation, this study conducted latent profile analysis and analyzed the predictors and outcomes according to the types of depressive symptoms.Methods This study participants were 2,110 adults aged 19 to 71 years who completed the questionnaire for the 5th COVID-19 National Mental Health Survey conducted in March 2021.Results The three latent profiles were as follows: “overall low-level group” (59.9%), “lethargy and physical symptoms group” (29.8%), and “overall high-level group” (10.3%). Among predictors, younger age, experience of physical and mental health problems of the individual, experience of the indifference of the society/community to the loss and damage, experience of conflict with family members, experience of conflict and distrust with neighbors, experience of fear of personal information disclosure, low level of stress from the trend of media coverage, experience of rows over liability or legal disputes were associated with the likelihood of being classified into the overall high-level group. Analyzing the difference in post-traumatic growth according to the type of depressive symptoms, the overall highlevel group showed the lowest level of post-traumatic growth.Conclusion Considering the identified predictors, effective strategies need to be established to prevent the aggravation of depressive symptoms and to provide adequate interventions. – Name: TypeDocument Label: Document Type Group: TypDoc Data: Article – Name: Language Label: Language Group: Lang Data: English – Name: ISSN Label: ISSN Group: ISSN Data: 1976-3026 – Name: DOI Label: DOI Group: ID Data: 10.30773/pi.2025.0390 – Name: Copyright Label: Rights Group: Cpyrght Data: CC BY NC – Name: AN Label: Accession Number Group: ID Data: edsair.doi...........3c87aaa666470f03e13a04fcada4e775 |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsair&AN=edsair.doi...........3c87aaa666470f03e13a04fcada4e775 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.30773/pi.2025.0390 Languages: – Text: English PhysicalDescription: Pagination: PageCount: 12 StartPage: 498 Titles: – TitleFull: Analysis of COVID-19-Related Influencing Variables and Post-Traumatic Growth Differences Depending on the Type of Depressive Symptoms Using Latent Profile Analysis Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Jinhee Hyun – PersonEntity: Name: NameFull: Seok-Joo Kim – PersonEntity: Name: NameFull: Heeguk Kim – PersonEntity: Name: NameFull: Sunju Sohn – PersonEntity: Name: NameFull: Yun-Kyeung Choi – PersonEntity: Name: NameFull: Jong-Sun Lee – PersonEntity: Name: NameFull: Jong-Woo Paik – PersonEntity: Name: NameFull: So Hee Lee – PersonEntity: Name: NameFull: Yu-Ri Lee IsPartOfRelationships: – BibEntity: Dates: – D: 25 M: 04 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 19763026 – Type: issn-locals Value: edsair – Type: issn-locals Value: edsairFT Numbering: – Type: volume Value: 23 Titles: – TitleFull: Psychiatry Investigation Type: main |
| ResultId | 1 |