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Relationship between Depressive Symptoms and Weather Conditions

Author

Listed:
  • Agnė Brazienė

    (Institute of Cardiology, Lithuanian University of Health Sciences, Sukileliu Ave. 15, 50103 Kaunas, Lithuania)

  • Jonė Venclovienė

    (Institute of Cardiology, Lithuanian University of Health Sciences, Sukileliu Ave. 15, 50103 Kaunas, Lithuania
    Department of Environmental Sciences, Vytautas Magnus University, Donelaičio St. 58, 44248 Kaunas, Lithuania)

  • Vidmantas Vaičiulis

    (Department of Environmental and Occupational Medicine, Lithuanian University of Health Sciences, Tilzes St. 18, 47181 Kaunas, Lithuania
    Health Research Institute, Lithuanian University of Health Sciences, Tilzes St. 18, 47181 Kaunas, Lithuania)

  • Dalia Lukšienė

    (Institute of Cardiology, Lithuanian University of Health Sciences, Sukileliu Ave. 15, 50103 Kaunas, Lithuania
    Department of Environmental and Occupational Medicine, Lithuanian University of Health Sciences, Tilzes St. 18, 47181 Kaunas, Lithuania)

  • Abdonas Tamošiūnas

    (Institute of Cardiology, Lithuanian University of Health Sciences, Sukileliu Ave. 15, 50103 Kaunas, Lithuania
    Department of Preventive Medicine, Lithuanian University of Health Sciences, Tilzes St. 18, 47181 Kaunas, Lithuania)

  • Irena Milvidaitė

    (Institute of Cardiology, Lithuanian University of Health Sciences, Sukileliu Ave. 15, 50103 Kaunas, Lithuania)

  • Ričardas Radišauskas

    (Institute of Cardiology, Lithuanian University of Health Sciences, Sukileliu Ave. 15, 50103 Kaunas, Lithuania
    Department of Environmental and Occupational Medicine, Lithuanian University of Health Sciences, Tilzes St. 18, 47181 Kaunas, Lithuania)

  • Martin Bobak

    (Institute of Epidemiology and Health Care, University College London, 1-19 Torrington Place, London WC1E 7HB, UK)

Abstract

Background: Weather is a well-known factor worldwide in psychiatric problems such as depression, with the elderly and females being particularly susceptible. The aim of this study was to detect associations between the risk of depressive symptoms (DS) and weather variables. Methods: 6937 participants were assessed in the baseline survey of the Health Alcohol Psychosocial Factors in Eastern Europe (HAPIEE) study during 2006–2008. To assess the risk of DS, a multivariate logistic model was created with predictors such as socio-demographic factors, health behaviors, and weather variables. Results: DS were found in 23.4% of the respondents, in 15.6% of males and in 29.9% in females. A higher risk of DS (by 25%) was associated with November–December, a rising wind speed, and relative humidity (RH) < 94% and snowfall during the cold period occurring 2 days before the survey. A higher air temperature (>14.2 °C) predominant during May–September had a protective impact. A higher risk of DS in males was associated with lower atmospheric pressure (<1009 hPa) 2 days before. Females were more sensitive to the monthly variation, snowfall, and RH. Conclusions: The findings of our study suggest that some levels of weather variables have a statistically significant effect on DS.

Suggested Citation

  • Agnė Brazienė & Jonė Venclovienė & Vidmantas Vaičiulis & Dalia Lukšienė & Abdonas Tamošiūnas & Irena Milvidaitė & Ričardas Radišauskas & Martin Bobak, 2022. "Relationship between Depressive Symptoms and Weather Conditions," IJERPH, MDPI, vol. 19(9), pages 1-12, April.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:9:p:5069-:d:799075
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    References listed on IDEAS

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    1. Carmenrita Infortuna & Francesco Gratteri & Andrew Benotakeia & Sapan Patel & Alex Fleischman & Maria Rosaria Anna Muscatello & Antonio Bruno & Rocco Antonio Zoccali & Eileen Chusid & Zhiyong Han & Fo, 2020. "Exploring the Gender Difference and Predictors of Perceived Stress among Students Enrolled in Different Medical Programs: A Cross-Sectional Study," IJERPH, MDPI, vol. 17(18), pages 1-8, September.
    2. Aaron M Frutos & Chantel D Sloan & Ray M Merrill, 2018. "Modeling the effects of atmospheric pressure on suicide rates in the USA using geographically weighted regression," PLOS ONE, Public Library of Science, vol. 13(12), pages 1-15, December.
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    Cited by:

    1. Lizhi Wu & Xueqing Li & Pengchen Tu & Xiaofeng Wang & Zhijian Chen & Mingluan Xing, 2023. "Depressive Symptoms and Associated Factors among Employees in Public Utility Places of Zhejiang Province, China," Sustainability, MDPI, vol. 15(18), pages 1-15, September.

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