Evidence map›Paper›PMID 35870379›Full record

ArticleEnvironment international2022

Identifying joint impacts of sun radiation, temperature, humidity, and rain duration on triggering mental disorders using a high-resolution weather monitoring system.

Xinlei Deng, Jerald Brotzge, Melissa Tracy, Howard H Chang, Xiaobo Romeiko, Wangjian Zhang, Ian Ryan, Fangqun Yu, Yanji Qu, Gan Luo and 1 more

Open access · goldAbstract read
In one paragraph

Article in Environment international, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 5 pooled it
2.9field-weighted citation impact, top 9% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

16 citing papers in PubMed, 5 syntheses or guidelines pooled it, 29 citations in OpenAlex.

  1. Pooled it
  2. Impacts of extreme temperatures on mood disorders: A systematic review.European psychiatry : the journal of the Association of European Psychiatrists · 2025
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  8. Association between solar radiation and mood disorders among Gulf Coast residents.Journal of exposure science & environmental epidemiology · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 5 institutions in 2 countries.

Xinlei DengDepartment of Environmental Health Sciences, School of Public Health, University at Albany, the State University of New York, Rensselaer, NY, USA.
Jerald BrotzgeProgram Manager, New York State Mesonet, University at Albany, the State University of New York, Albany, NY, USA.
Melissa TracyDepartment of Epidemiology and Biostatistics, School of Public Health, University at Albany, the State University of New York, Rensselaer, NY, USA.
Howard H ChangDepartment of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, GA, USA.
Xiaobo RomeikoDepartment of Environmental Health Sciences, School of Public Health, University at Albany, the State University of New York, Rensselaer, NY, USA.
Wangjian ZhangDepartment of Epidemiology and Biostatistics, School of Public Health, Sun Yat-Sen University, Guangzhou, Guangdong, China.
Ian RyanDepartment of Environmental Health Sciences, School of Public Health, University at Albany, the State University of New York, Rensselaer, NY, USA.
Fangqun YuDepartment of Earth and Atmospheric Sciences, Atmospheric Sciences Research Center, University at Albany, the State University of New York, Rensselaer, NY, USA.
Yanji QuGuangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangzhou, Guangdong, China.
Gan LuoDepartment of Earth and Atmospheric Sciences, Atmospheric Sciences Research Center, University at Albany, the State University of New York, Rensselaer, NY, USA.
Shao LinDepartment of Environmental Health Sciences, School of Public Health, University at Albany, the State University of New York, Rensselaer, NY, USA; Department of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, GA, USA. Electronic address: slin@albany.edu.
University at Albany, State University of New York · USAlbany State University · USEmory University · USGuangdong Provincial People's Hospital · CNSun Yat-sen University · CN

Funding

Weather extremes, natural disasters, and health outcomes among vulnerable older adults: New improvements on exposure assessment, disparity identification, and risk communication strategiesR01AG070949 · NIA · STATE UNIVERSITY OF NEW YORK AT ALBANY · PI LIN, SHAO · 2022 to 2025
$1.6M
Assess and Model the Health Effects, Population, and Infrastructural Vulnerabilities of Power OutageR15ES028000 · NIEHS · STATE UNIVERSITY OF NEW YORK AT ALBANY · PI LIN, SHAO · 2018 to 2018
$444k
NCEH CDC HHS U01 EH000396NIA NIH HHS R01 AG070949NIEHS NIH HHS R15 ES028000
6 · The paper itself

Abstract

backgroundMental disorders (MDs) are behavioral or mental patterns that cause significant distress or impairment of personal functioning. Previously, temperature has been linked to MDs, but most studies suffered from exposure misclassification due to limited monitoring sites. We aimed to assess whether multiple meteorological factors could jointly trigger MD-related emergency department (ED) visits in warm season, using a highly dense weather monitoring system.

methodsWe conducted a time-stratified, case-crossover study. MDs-related ED visits (primary diagnosis) from May-October 2017-2018 were obtained from New York State (NYS) discharge database. We obtained solar radiation (SR), relative humidity (RH), temperature, heat index (HI), and rainfall from Mesonet, a real-time monitoring system spaced about 17 miles (126 stations) across NYS. We used conditional logistic regression to assess the weather-MD associations.

resultsFor each interquartile range (IQR) increase, both SR (excess risk (ER): 4.9%, 95% CI: 3.2-6.7%) and RH (ER: 4.0%, 95% CI: 2.6-5.4%) showed the largest risk for MD-related ED visits at lag 0-9 days. While temperature presented a short-term risk (highest ER at lag 0-2 days: 3.7%, 95% CI: 2.5-4.9%), HI increased risk over a two-week period (ER range: 3.7-4.5%), and rainfall hours showed an inverse association with MDs (ER: -0.5%, 95% CI: 0.9-(-0.1)%). Additionally, we observed stronger association of SR, RH, temperature, and HI in September and October. Combination of high SR, RH, and temperature displayed the largest increase in MDs (ER: 7.49%, 95% CI: 3.95-11.15%). The weather-MD association was stronger for psychoactive substance usage, mood disorders, adult behavior disorders, males, Hispanics, African Americans, individuals aged 46-65, or Medicare patients.

conclusionsHot and humid weather, especially the joint effect of high sun radiation, temperature and relative humidity showed the highest risk of MD diseases. We found stronger weather-MD associations in summer transitional months, males, and minority groups. These findings also need further confirmation.

Indexed as

MedicareMental DisordersAdultAgedCross-Over StudiesHumansHumidityMaleRainSeasonsTemperatureUnited StatesWeatherEmergency departmentHeat indexMental healthRelative humiditySolar radiationTemperature

Identifiers

PMID35870379
PMCPMC12184810
OpenAlexW4285404515

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.