Epidemiol Health.
2022;44(1):e2022093. 10.4178/epih.e2022093.
Application of a joint latent space item response model to clustering stressful life events and the Beck Depression Inventory-II: results from Korean epidemiological survey data
- Affiliations
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- 1Department of Applied Statistics, Yonsei University, Seoul, Korea
- 2Department of Statistics and Data Science, Yonsei University, Seoul, Korea
- 3Department of Public Health, Graduate School, Yonsei University, Seoul, Korea
- 4Division of Cardiology, Severance Cardiovascular Hospital and Cardiovascular Research Institute, Yonsei University College of Medicine, Seoul, Korea
- 5Department of Endocrinology and Metabolism, Ajou University School of Medicine, Suwon, Korea
- 6Department of Preventive Medicine, Yonsei University College of Medicine, Seoul, Korea
- 7Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA
- KMID: 2541356
- DOI: http://doi.org/10.4178/epih.e2022093
Abstract
OBJECTIVES
According to previous findings, stressful life events (SLEs) and their subtypes are associated with depressive symptoms. However, few studies have explored potential models for these events and incidental symptoms of depression.
METHODS
Participants (3,966 men; 5,709 women) were recruited from the Cardiovascular and Metabolic Diseases Etiology Research Center cohort. SLEs were measured using a 47-item Life Experiences Survey (LES) with a standardized protocol. Depressive symptoms were assessed using the Beck Depression Inventory-II (BDI-II). Joint latent space item response models were applied by gender and age group (<50 vs. ≥50 years old).
RESULTS
Among the LES items, death or illness of close relatives, legal problems, sexual difficulties, family relationships, and social relationships shared latent positions with major depressive symptoms regardless of gender or age. We also observed a gender-specific domain: occupational and family-related items.
CONCLUSIONS
By projecting LES and BDI-II data onto the same interaction map for each subgroup, we could specify the associations between specific LES items and depressive symptoms.
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