Background: This study aimed to evaluate the heterogeneous association of depressive subtypes with cognitive function, according to age and sex. Methods: This cross-sectional study utilized the baseline data from the Cardiovascular and Metabolic Disease Etiology Research Center cohort and included 5271 midlife participants. For identifying depressive subtypes of the Beck Depression Inventory Ⅱ items, factor analyses were utilized and yielded two factors —melancholic- and somatic-depressive subtypes. The information of Mini-Mental State Examination was used for screening cognitive function. The association between depressive subtypes and cognitive function was analysed using multiple regression after adjusting for all covariates. Results: We observed heterogeneous association between depressive subtypes and cognitive dysfunction in midlife participants. The results of sex- and age- stratified analyses indicated that the somatic subtype was associated with dysfunction in cognitive ability. Among women, especially those aged over 60 years, MMSE scores decreased as the somatic depression scores increased. These results might suggest that the somatic subtype, rather than the melancholic subtype, has a greater association with cognitive assessment in a general midlife population, particularly older women. Limitations: Although a confirmatory factor analysis was performed, depressive subtypes need validation and reliability tests. Conclusions: Given this heterogeneity, characterisation of depressive subtypes according to sex and age may improve our understanding of how each depressive symptom is associated differently with cognitive dysfunction in midlife.
|Number of pages||7|
|Journal||Journal of affective disorders|
|Publication status||Published - 2021 Dec 1|
Bibliographical noteFunding 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 ( 2020R1C1C1003502 ) and by a faculty research grant of Yonsei University College of Medicine for 2019 ( 6-2019-0114 ), which were awarded to Jung.
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 ( 2020R1C1C1003502 ) and by a faculty research grant of Yonsei University College of Medicine for 2019 (6-2019-0114).
© 2021 The Author(s)
All Science Journal Classification (ASJC) codes
- Clinical Psychology
- Psychiatry and Mental health