Climate Change and Psychiatry: The Correlation between the Mean Monthly Temperature and Admissions to an Acute Inpatient Unit

Author:

Rizzo Pesci Nicola1ORCID,Teobaldi Elena12ORCID,Maina Giuseppe12ORCID,Rosso Gianluca12ORCID

Affiliation:

1. Department of Neurosciences “Rita Levi Montalcini”, University of Turin, 10126 Turin, Italy

2. Psychiatric Unit, San Luigi Gonzaga University Hospital, 10043 Turin, Italy

Abstract

Background: Psychiatric disorders are large contributors to the global disease burden, but research on the impact of climate change on them is limited. Our aim is to investigate the correlation between temperature and exacerbations of psychiatric disorders to help inform clinical management and future public health policies. Methods: Temperature records for the summer months from 2013 to 2022 were obtained from the meteorological station of the Department of Physics of Turin University. Data on patients admitted to the acute psychiatric unit were extracted from registries of San Luigi Gonzaga University Hospital (Turin, Italy). Regression analyses were used to investigate the correlation between temperature and number of admissions and to test for confounding variables. Results: A total of 1600 admissions were recorded. The monthly temperature and number of admissions were directly correlated (p = 0.0020). The correlation was significant for the subgroup of admissions due to Bipolar Disorders (p = 0.0011), but not for schizophrenia or major depressive disorder. After multiple regression analyses, the effect of temperature remained significant (p = 0.0406). Conclusions: These results confirm the impact of meteorological factors on mental disorders, particularly on BD. This can contribute to personalised follow-up and efficient resource allocation and poses grounds for studies into etiopathological mechanisms and therapeutic implications.

Publisher

MDPI AG

Reference48 articles.

1. Future droughts in northern Italy: High-resolution projections using EURO-CORDEX and MED-CORDEX ensembles;Baronetti;Clim. Change,2022

2. (2024, February 22). Global Climate Highlights 2023|Copernicus. Available online: https://climate.copernicus.eu/global-climate-highlights-2023.

3. (2024, June 19). July 2023 Is Set to Be the Hottest Month on Record|The World Meteorological Organization (WMO). Available online: https://wmo.int/news/media-centre/july-2023-set-be-hottest-month-record.

4. Enhancement of river flooding due to global warming;Alifu;Sci. Rep.,2022

5. Rapidly increasing likelihood of exceeding 50 °C in parts of the Mediterranean and the Middle East due to human influence;Christidis;npj Clim. Atmos. Sci.,2023

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3