Optimizing Winter‐Type Seasonality Criteria in East Asian Populations: A Machine Learning Approach Using the Seasonal Pattern Assessment Questionnaire

This study evaluated seasonality in a South Korean early-onset mood disorder cohort using SPAQ and Kasper's criteria. Incorporating atypical vegetative symptoms and reduced social activity improved winter seasonality classification accuracy. The revised criteria may facilitate more precise identification and management of seasonal symptoms in East Asia.

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Publication Details

Journal
Brain and Behavior
Published
2025-09-01
DOI
https://doi.org/10.1002/brb3.70834
Citations
1
Primary Topic
Sleep and related disorders
Type
article
Field-Weighted Citation Impact
2.12

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article

Optimizing Winter‐Type Seasonality Criteria in East Asian Populations: A Machine Learning Approach Using the Seasonal Pattern Assessment Questionnaire

Ji Won Yeom, Chul‐Hyun Cho, Heon‐Jeong Lee, Jung‐Been Lee et al.
1 citations
Brain and Behavior
Sleep and related disorders
2.12
article

Optimizing Winter‐Type Seasonality Criteria in East Asian Populations: A Machine Learning Approach Using the Seasonal Pattern Assessment Questionnaire

Ji Won Yeom, Chul‐Hyun Cho, Heon‐Jeong Lee, Jung‐Been Lee, Soohyun Park
article en
1 citations

Abstract

This study evaluated seasonality in a South Korean early-onset mood disorder cohort using SPAQ and Kasper's criteria. Incorporating atypical vegetative symptoms and reduced social activity improved winter seasonality classification accuracy. The revised criteria may facilitate more precise identification and management of seasonal symptoms in East Asia.

Brain and BehaviorVol. 15(9)
Korea University (KR), iNtRON (South Korea) (KR), Korea University (JP), Sun Moon University (KR)
National Research Foundation, National Research Foundation of Korea, Ministry of Science and ICT, South Korea
Openalex Percentile: Top 11%
Sleep and related disorders
2.12
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Optimizing Winter‐Type Seasonality Criteria in East Asian Populations: A Machine Learning Approach Using the Seasonal Pattern Assessment Questionnaire — Ji Won Yeom, Chul‐Hyun Cho, et al. · Brain and Behavior (2025) | TGRS Research Map | TGRS