Evidence map›Paper›PMID 41583383›Full record

ArticleComprehensive psychoneuroendocrinology2026

The correlational study of the 24 solar terms and meteorological factors with the acute exacerbation of bipolar disorder.

Jian Chen, Tingting Wu, Hongyu Wu, Jingying Zhou, Wenfei Li

Abstract read
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Article in Comprehensive psychoneuroendocrinology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Jian ChenSchool of Mental Health and Psychological Science, Anhui Medical University, Hefei, China.
Tingting WuSchool of Mental Health and Psychological Science, Anhui Medical University, Hefei, China.
Hongyu WuSchool of Mental Health and Psychological Science, Anhui Medical University, Hefei, China.
Jingying ZhouSchool of Mental Health and Psychological Science, Anhui Medical University, Hefei, China.
Wenfei LiSchool of Mental Health and Psychological Science, Anhui Medical University, Hefei, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Bipolar disorder (BD) is a severe mood disorder, and increasing evidence suggests that acute episodes of BD may exhibit seasonal patterns. However, the relationship between acute BD episodes and meteorological factors remains a contentious issue in academia. This study aims to investigate the distribution of BD acute episodes across 24 solar terms, offering a fresh perspective on the link between BD acute episodes and meteorological factors. Methods: This analysis was based on retrospectively collected hospitalization records from patients with acute BD episodes at Anhui Mental Health Center (2020-2022), and contemporaneous meteorological data. Results: The two peaks of BD manic episodes occurred during Rainwater and Grain in Ear solar terms, whereas the peak of depressive episodes was observed during Rainwater and Summer Solstice solar terms. BD manic episodes were significantly correlated with temperature differences, interday temperature differences and interday wind speed differences. Depressive episodes were significantly correlated with the temperature difference, interday wind speed difference and atmospheric pressure. Linear regression analysis revealed that the interday atmospheric pressure difference and interday temperature difference were significantly associated with acute BD episodes. Conclusion: This study conducted a large-scale survey on the distribution of acute BD episodes across 24 solar terms in the Chinese population and their correlations with meteorological factors and sociodemographic characteristics. The findings indicate that the distribution of BD acute episodes varies across the 24 solar terms and that there is a correlation between BD acute episodes and certain meteorological factors, particularly drastic changes in temperature and atmospheric pressure, which may account for the differences in the number of BD acute episodes across the solar terms.

Indexed as

24 solar termsAcute episodeBipolar disorderMeteorological factorsWeather changes

Identifiers

PMID41583383
PMCPMC12830230

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