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Cited 4 time in webofscience Cited 4 time in scopus
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Identifying predictive factors for mood recurrence in early-onset major mood disorders: A 4-year, multicenter, prospective cohort studyopen access

Authors
Cho, Chul-HyunSon, SerhimLee, YujinJeong, JaegwonYeom, Ji WonSeo, Ju YeonMoon, EunsooBaek, Ji HyunPark, Dong YeonKim, Se JooHa, Tae HyonCha, BoseokKang, Hee-JuAhn, Yong-MinAn, HyongginLee, Heon-Jeong
Issue Date
May-2024
Publisher
Elsevier BV
Keywords
Bipolar disorder; Circadian rhythm; Early-onset mood disorders; Major depressive disorder; Psychiatric scales; Recurrence prediction
Citation
Psychiatry Research, v.335
Indexed
SCIE
SSCI
SCOPUS
Journal Title
Psychiatry Research
Volume
335
URI
https://scholarworks.gnu.ac.kr/handle/sw.gnu/70207
DOI
10.1016/j.psychres.2024.115882
ISSN
0165-1781
1872-7123
Abstract
We investigate the predictive factors of the mood recurrence in patients with early-onset major mood disorders from a prospective observational cohort study from July 2015 to December 2019. A total of 495 patients were classified into three groups according to recurrence during the cohort observation period: recurrence group with (hypo)manic or mixed features (MMR), recurrence group with only depressive features (ODR), and no recurrence group (NR). As a result, the baseline diagnosis of bipolar disorder type 1 (BDI) and bipolar disorder type 2 (BDII), along with a familial history of BD, are strong predictors of the MMR. The discrepancies in wake-up times between weekdays and weekends, along with disrupted circadian rhythms, are identified as a notable predictor of ODR. Our findings confirm that we need to be aware of different predictors for each form of mood recurrences in patients with early-onset mood disorders. In clinical practice, we expect that information obtained from the initial assessment of patients with mood disorders, such as mood disorder type, family history of BD, regularity of wake-up time, and disruption of circadian rhythms, can help predict the risk of recurrence for each patient, allowing for early detection and timely intervention. © 2024 The Author(s)
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