Objectives: Quantify the risk of mental health (MH)-related emergency department visits (EDVs) due to heat, in the city of Curitiba, Brazil.
Design: Daily time series analysis, using quasi-Poisson combined with distributed lag non-linear model on EDV for MH disorders, from 2017 to 2021.
Setting: All nine emergency centres from the public health system, in Curitiba.
Participants: 101 452 EDVs for MH disorders and suicide attempts over 5 years, from patients residing inside the territory of Curitiba.
Main Outcome Measure: Relative risk of EDV (RR) due to extreme mean temperature (24.5°C, 99th percentile) relative to the median (18.02°C), controlling for long-term trends, air pollution and humidity, and measuring effects delayed up to 10 days.
Results: Extreme heat was associated with higher single-lag EDV risk of RR 1.03(95% CI 1.01 to 1.05-single-lag 2), and cumulatively of RR 1.15 (95% CI 1.05 to 1.26-lag-cumulative 0-6). Strong risk was observed for patients with suicide attempts (RR 1.85, 95% CI 1.08 to 3.16) and neurotic disorders (RR 1.18, 95% CI 1.06 to 1.31). As to demographic subgroups, females (RR 1.20, 95% CI 1.08 to 1.34) and patients aged 18-64 (RR 1.18, 95% CI 1.07 to 1.30) were significantly endangered. Extreme heat resulted in lower risks of EDV for patients with organic disorders (RR 0.60, 95% CI 0.40 to 0.89), personality disorders (RR 0.48, 95% CI 0.26 to 0.91) and MH in general in the elderly ≥65 (RR 0.77, 95% CI 0.60 to 0.98). We found no significant RR among males and patients aged 0-17.
Conclusion: The risk of MH-related EDV due to heat is elevated for the entire study population, but very differentiated by subgroups. This opens avenue for adaptation policies in healthcare: such as monitoring populations at risk and establishing an early warning systems to prevent exacerbation of MH episodes and to reduce suicide attempts. Further studies are welcome, why the reported risk differences occur and what, if any, role healthcare seeking barriers might play.
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http://dx.doi.org/10.1136/bmjopen-2023-079049 | DOI Listing |
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10748883 | PMC |
J Affect Disord
January 2025
Department of Radiology, Yantai Yuhuangding Hospital, Qingdao University, Yantai, Shandong 264000, PR China; Shandong Provincial Key Medical and Health Laboratory of Intelligent Diagnosis and Treatment for Women's Diseases (Yantai Yuhuangding Hospital), Yantai, Shandong 264000, PR China; Big Data and Artificial Intelligence Laboratory, Yantai Yuhuangding Hospital, Qingdao University, Yantai, Shandong 264000, PR China. Electronic address:
Purpose: To elucidate the structural-functional connectivity (SC-FC) coupling in white matter (WM) tracts in patients with major depressive disorder (MDD).
Methods: A total of 178 individuals diagnosed with MDD and 173 healthy controls (HCs) were recruited for this study. The Euclidean distance was calculated to assess SC-FC coupling.
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