Abstract
Background: The heterogeneity of depressive symptoms in suicidality is poorly understood. This study examines the heterogeneous association between subfactors of depressive symptoms in suicidality. Methods: The data of 5742 participants aged 19 and older were taken from the 2014 and 2016 Korean National Health and Nutrition Examination Surveys and analyzed. Subfactors of depressive symptoms were identified utilizing factor analyses that yielded two groups (typical- and other-depressive factors). Multivariable logistic regression models were used to estimate the association between each factor and suicidality after adjusting for covariates. Results: Typical depressive factors included cardinal and somatic symptoms, whereas other depressive factors contained cognitive and other symptoms. The typical factors were associated with each suicidality in succession, however, others depressive factors were not. The heterogeneity of subfactors made the greatest impact on suicide attempts, controlling for all covariates, followed by suicide plans, with a robust coefficient of typical depressive factors. These differential patterns of subfactors existed especially in females and younger people, suggesting the importance of concerning typical depressive factors for those groups. Limitations: Although a confirmatory factor analysis was performed, depressive subfactors need validation and reliability tests. Conclusions: Our study findings may help to explain why an improved understanding of the typical depressive factors including cardinal and somatic symptoms is important to prevent suicidality, especially in females and younger people.
Original language | English |
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Pages (from-to) | 183-190 |
Number of pages | 8 |
Journal | Journal of affective disorders |
Volume | 272 |
DOIs | |
Publication status | Published - 2020 Jul 1 |
Bibliographical note
Funding Information:This research was supported by the Basic Science Research Program through the National Research Foundation of Korea (NRF), funded by the Ministry of Science and ICT ( 2018R1C1B5083722 and 2020R1C1C1003502 ), which was awarded to Jung.
Funding Information:
We would like to thank Editage ( www.editage.co.kr ) for English language editing. This research was supported by the Basic Science Research Program through the National Research Foundation of Korea (NRF), funded by the Ministry of Science and ICT (2018R1C1B5083722 and 2020R1C1C1003502). We are grateful to the Korea Centers for Disease Control and Prevention (KCDC) that conducted the Korea National Health and Nutrition Examination Survey (KNHANES), which is the primary source of our study.
Publisher Copyright:
© 2020 Elsevier B.V.
All Science Journal Classification (ASJC) codes
- Clinical Psychology
- Psychiatry and Mental health