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Niu YL, Lu F, Liu XJ, Wang J, Liu DL, Liu QY, Yang J. Global climate change: Effects of future temperatures on emergency department visits for mental disorders in Beijing, China. ENVIRONMENTAL RESEARCH 2024; 252:119044. [PMID: 38697599 DOI: 10.1016/j.envres.2024.119044] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/17/2024] [Revised: 04/08/2024] [Accepted: 04/27/2024] [Indexed: 05/05/2024]
Abstract
Rising temperatures can increase the risk of mental disorders. As climate change intensifies, the future disease burden due to mental disorders may be underestimated. Using data on the number of daily emergency department visits for mental disorders at 30 hospitals in Beijing, China during 2016-2018, the relationship between daily mean temperature and such visits was assessed using a quasi-Poisson model integrated with a distributed lag nonlinear model. Emergency department visits for mental disorders attributed to temperature changes were projected using 26 general circulation models under four climate change scenarios. Stratification analyses were then conducted by disease subtype, sex, and age. The results indicate that the temperature-related health burden from mental disorders was projected to increase consistently throughout the 21st century, mainly driven by high temperatures. The future temperature-related health burden was higher for patients with mental disorders due to the use of psychoactive substances and schizophrenia as well as for women and those aged <65 years. These findings enhance our knowledge of how climate change could affect mental well-being and can be used to advance and refine targeted approaches to mitigating and adapting to climate change with a view on addressing mental disorders.
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Affiliation(s)
- Yan-Lin Niu
- Institute for Nutrition and Food Hygiene, Beijing Center for Disease Prevention and Control, 100013 Beijing, China
| | - Feng Lu
- Beijing Municipal Health Big Data and Policy Research Center, 100034 Beijing, China
| | - Xue-Jiao Liu
- Department of Medical Record Management and Statistics, Beijing Jishuitan Hospital, Capital Medical University, Beijing 100035, China
| | - Jun Wang
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - De Li Liu
- NSW Department of Primary Industries, Wagga Wagga Agricultural Institute, NSW 2650, Australia; Climate Change Research Centre, University of New South Wales, Sydney, NSW 2052, Australia
| | - Qi-Yong Liu
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - Jun Yang
- School of Public Health, Guangzhou Medical University, 511436 Guangzhou, China.
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Runkle JD, Sugg MM, Berry A, Reed C, Cowan K, Wertis L, Ryan S. Association of Psychiatric Emergency Visits and Warm Ambient Temperature during Pregnancy: A Time-Stratified Case-Crossover Study. ENVIRONMENTAL HEALTH PERSPECTIVES 2024; 132:67001. [PMID: 38829735 PMCID: PMC11166382 DOI: 10.1289/ehp13293] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/09/2023] [Revised: 05/10/2024] [Accepted: 05/16/2024] [Indexed: 06/05/2024]
Abstract
BACKGROUND Acute exposure to high ambient temperature and heat waves during the warm season has been linked with psychiatric disorders. Emerging research has shown that pregnant people, due to physiological and psychological changes, may be more sensitive to extreme heat, and acute exposure has been linked to increased risk of pregnancy complications; however, few studies have examined psychiatric complications. OBJECTIVE Our objective was to examine the association between acute exposure to warm ambient temperatures and emergency department (ED) visits for mental disorders during pregnancy. METHODS A time-stratified case-crossover design with conditional logistic regression was performed on ∼ 206,000 psychiatric ED visits for pregnant patients in North Carolina, from May to September 2016 to 2019. Daily average ambient temperature was the main exposure and was linked to daily visits by maternal zip code of residence for prenatal mood and anxiety disorders (PMAD), severe mental illness (SMI), mental disorder of pregnancy (MDP), suicidal thoughts (SUIC), and any psychiatric disorder (Any). Effect modification by trimester, residential segregation, economic segregation, urbanicity, and availability of greenspace was also investigated. RESULTS Each 5 ° C increase in same-day exposure to warm ambient temperature on case days was associated with an increase in incidence rate ratio (IRR) for any psychiatric disorder [IRR = 1.07; 95% confidence interval (CI): 1.01, 1.14] including anxiety (IRR = 1.14; 95% CI: 1.00, 1.30), bipolar disorder (IRR = 1.28; 95% CI: 0.98, 1.67), and suicidal thoughts (IRR = 1.28; 95% CI: 1.00, 1.65) compared to control days. In general, the associations were strongest for warm season temperatures on the same day of exposure or for temperatures averaged over the 3 or 6 d preceding the ED visit. The greatest risk of an incident ED admission for PMAD (RR = 1.20; 95% CI: 1.04, 1.39), particularly for anxiety (RR = 1.30; 95% CI: 1.07, 1.59), and any psychiatric disorder (RR = 1.17; 95% CI: 1.07, 1.28) occurred following cumulative exposure to hot temperatures the week before admission. Higher psychiatric burden from temperature was observed in urban areas and on extreme heat days. CONCLUSIONS For this pregnant population in the southeastern United States, short-term exposure to high ambient temperatures during the warm season was associated with a greater risk of ED visits for an array of psychiatric disorders. Findings show that climate-related increases in ambient temperature may contribute to psychiatric morbidity in pregnant people. https://doi.org/10.1289/EHP13293.
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Affiliation(s)
- Jennifer D. Runkle
- North Carolina Institute for Climate Studies, North Carolina State University, Asheville, North Carolina, USA
| | - Margaret M. Sugg
- Department of Geography and Planning, Appalachian State University, Boone, North Carolina, USA
| | - Anne Berry
- School of Medicine, Duke University, Durham, North Carolina, USA
| | - Charlie Reed
- North Carolina Institute for Climate Studies, North Carolina State University, Asheville, North Carolina, USA
| | - Kristen Cowan
- North Carolina Institute for Climate Studies, North Carolina State University, Asheville, North Carolina, USA
| | - Luke Wertis
- Department of Geography and Planning, Appalachian State University, Boone, North Carolina, USA
| | - Sophie Ryan
- Department of Geography and Planning, Appalachian State University, Boone, North Carolina, USA
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Cohen G, Rowland ST, Benavides J, Lindert J, Kioumourtzoglou MA, Parks RM. Daily temperature variability and mental health-related hospital visits in New York State. ENVIRONMENTAL RESEARCH 2024:119238. [PMID: 38815717 DOI: 10.1016/j.envres.2024.119238] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/05/2024] [Revised: 05/11/2024] [Accepted: 05/25/2024] [Indexed: 06/01/2024]
Abstract
BACKGROUND Despite plausible behavioral and physiological pathways, limited evidence exists on how daily temperature variability is associated with acute mental health-related episodes. OBJECTIVES We aimed to explore associations between daily temperature range (DTR) and mental health-related hospital visits using data of all hospital records in New York State during 1995-2014. We further examined factors that may modify these associations, including age, sex, hospital visit type and season. METHODS Using a case-crossover design with distributed lag non-linear DTR terms (0-6 days), we estimated associations between ZIP Code-level DTR and hospital visits for mood (4.6 million hospital visits), anxiety (2.4 million), adjustment (∼368,000), and schizophrenia disorders (∼211,000), controlling for daily mean temperature, via conditional logistic regression models. We assessed potential heterogeneity by age, sex, hospital visit type (in-patient vs. out-patient), and season (summer, winter, and transition seasons). RESULTS For all included outcomes, we observed positive associations from period minimum DTR (0.1°C) until 25th percentile (5.2°C) and between mean DTR (7.7°C) and 90th percentile (12.2°C), beyond which we observed negative associations. For mood disorders, an increase in DTR from 0.1°C to 12.2°C was associated with a cumulative 16.0% increase (95% confidence interval [CI]: 12.8, 19.2%) in hospital visit rates. This increase was highest during transition seasons (32.5%; 95%CI: 26.4, 39.0%) compared with summer (10.7%; 95%CI: 4.8, 16.8%) and winter (-1.6%; 95%CI: -7.6, 4.7%). For adjustment and schizophrenia disorders, the strongest associations were seen among the youngest group (0-24 years) with almost no association in the oldest group (65+ years). We observed no evidence for modification by sex and hospital visit type. DISCUSSION Daily temperature variability was positively associated with mental health-related hospital visits within specific DTR ranges in New York State, after controlling for daily mean temperature. Given uncertainty on how climate change modifies temperature variability, additional research is crucial to comprehend the implications of these findings, particularly under different scenarios of future temperature variability.
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Affiliation(s)
- Gali Cohen
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY, USA; Department of Epidemiology and Preventive Medicine, School of Public Health, Faculty of Medicine, Tel Aviv University, Israel
| | - Sebastian T Rowland
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Jaime Benavides
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Jutta Lindert
- Department of Health and Social Work, University of Applied Sciences Emden, Emden, Germany
| | | | - Robbie M Parks
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY, USA.
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Xiong M, Li X, Zhang C, Shen S. Effects of weather and air pollution on outpatient visits for insect-and-mite-caused dermatitis: an empirical and predictive analysis. BMC Public Health 2024; 24:633. [PMID: 38419007 DOI: 10.1186/s12889-024-18067-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2023] [Accepted: 02/11/2024] [Indexed: 03/02/2024] Open
Abstract
BACKGROUND Dermatitis caused by insects and mites, diagnosed as papular urticaria or scabies, is a common skin disease. However, there is still a lack of studies about the effects of weather and air pollution on outpatient visits for this disease. This study aims to explore the impacts of meteorological and environmental factors on daily visits of dermatitis outpatients. METHODS Analyses are conducted on a total of 43,101 outpatient visiting records during the years 2015-2020 from the largest dermatology specialist hospital in Guangzhou, China. Hierarchical cluster models based on Pearson correlation between risk factors are utilized to select regression variables. Linear regression models are fitted to identify the statistically significant associations between the risk factors and daily visits, taking into account the short-term effects of temperatures. Permutation importance is adopted to evaluate the predictive ability of these factors. RESULTS Short-term temperatures have positive associations with daily visits and exhibit strong predictive abilities. In terms of total outpatients, the one-day lagged temperature not only has a significant impact on daily visits, but also has the highest median value of permutation importance. This conclusion is robust across most subgroups except for subgroups of summer and scabies, wherein the three-day lagged temperature has a negative effect. By contrast, air pollution has insignificant associations with daily visits and exhibits weak predictive abilities. Moreover, weekdays, holidays and trends have significant impacts on daily visits, but with weak predictive abilities. CONCLUSIONS Our study suggests that short-term temperatures have positive associations with daily visits and exhibit strong predictive abilities. Nevertheless, air pollution has insignificant associations with daily visits and exhibits weak predictive abilities. The results of this study provide a reference for local authorities to formulate intervention measures and establish an environment-based disease early warning system.
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Affiliation(s)
- Minghua Xiong
- Business School, Foshan University, Foshan, 528000, China
- Research Centre for Innovation & Economic Transformation, Research Institute of Social Sciences in Guangdong Province, Guangzhou, 510000, China
| | - Xiaoping Li
- Business School, Sichuan University, Chengdu, 610065, China
| | - Chao Zhang
- School of Business, Southern University of Science and Technology, Shenzhen, 518055, China
| | - Shuqun Shen
- Dermatology Hospital, Southern Medical University, Guangzhou, 510515, China.
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Zhang Y, Chang HH, Warren JL, Ebelt ST. A scalar-on-quantile-function approach for estimating short-term health effects of environmental exposures. Biometrics 2024; 80:ujae008. [PMID: 38477485 PMCID: PMC10934338 DOI: 10.1093/biomtc/ujae008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2023] [Revised: 12/27/2023] [Accepted: 01/17/2024] [Indexed: 03/14/2024]
Abstract
Environmental epidemiologic studies routinely utilize aggregate health outcomes to estimate effects of short-term (eg, daily) exposures that are available at increasingly fine spatial resolutions. However, areal averages are typically used to derive population-level exposure, which cannot capture the spatial variation and individual heterogeneity in exposures that may occur within the spatial and temporal unit of interest (eg, within a day or ZIP code). We propose a general modeling approach to incorporate within-unit exposure heterogeneity in health analyses via exposure quantile functions. Furthermore, by viewing the exposure quantile function as a functional covariate, our approach provides additional flexibility in characterizing associations at different quantile levels. We apply the proposed approach to an analysis of air pollution and emergency department (ED) visits in Atlanta over 4 years. The analysis utilizes daily ZIP code-level distributions of personal exposures to 4 traffic-related ambient air pollutants simulated from the Stochastic Human Exposure and Dose Simulator. Our analyses find that effects of carbon monoxide on respiratory and cardiovascular disease ED visits are more pronounced with changes in lower quantiles of the population's exposure. Software for implement is provided in the R package nbRegQF.
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Affiliation(s)
- Yuzi Zhang
- Department of Biostatistics and Bioinformatics, Emory University, Atlanta, GA 30322, United States
| | - Howard H Chang
- Department of Biostatistics and Bioinformatics, Emory University, Atlanta, GA 30322, United States
| | - Joshua L Warren
- Department of Biostatistics, Yale University, New Haven, CT 06511, United States
| | - Stefanie T Ebelt
- Gangarosa Department of Environmental Health, Emory University, Atlanta, GA 30322, United States
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Mastellari T, Rogers JP, Cortina-Borja M, David AS, Zandi MS, Amad A, Lewis G. Seasonality of presentation and birth in catatonia. Schizophr Res 2024; 263:214-222. [PMID: 36933976 DOI: 10.1016/j.schres.2023.03.015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/27/2022] [Revised: 03/06/2023] [Accepted: 03/07/2023] [Indexed: 03/20/2023]
Abstract
BACKGROUND Catatonia is a neuropsychiatric syndrome associated with both psychiatric disorders and medical conditions. Understanding of the pathophysiology of catatonia remains limited, and the role of the environment is unclear. Although seasonal variations have been shown for many of the disorders underlying catatonia, the seasonality of this syndrome has not yet been adequately explored. METHODS Clinical records were screened to identify a cohort of patients suffering from catatonia and a control group of psychiatric inpatients, from 2007 to 2016 in South London. In a cohort study, the seasonality of presentation was explored fitting regression models with harmonic terms, while the effect of season of birth on subsequent development of catatonia was analyzed using regression models for count data. In a case-control study, the association between month of birth and catatonia was studied fitting logistic regression models. RESULTS In total, 955 patients suffering from catatonia and 23,409 controls were included. The number of catatonic episodes increased during winter, with a peak in February. Similarly, an increasing number of cases was observed during summer, with a second peak in August. However, no evidence for an association between month of birth and catatonia was found. CONCLUSIONS The presentation of catatonia showed seasonal variation in accordance with patterns described for many of the disorders underlying catatonia, such as mood disorders and infections. We found no evidence for an association between season of birth and risk of developing catatonia. This may imply that recent triggers may underpin catatonia, rather than distal events.
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Affiliation(s)
- Tomas Mastellari
- University of Lille, Inserm U1172, CHU de Lille, Lille Neuroscience & Cognition (LilNCog), Lille, France; Division of Psychiatry, University College London, London, UK.
| | - Jonathan P Rogers
- Division of Psychiatry, University College London, London, UK; South London and Maudsley NHS Foundation Trust, London, UK
| | - Mario Cortina-Borja
- Population, Policy and Practice Research and Teaching Department, Great Ormond Street Institute of Child Health, University College London, London, UK
| | - Anthony S David
- Institute of Mental Health, University College London, London, UK
| | - Michael S Zandi
- Queen Square Institute of Neurology, University College London, London, UK; National Hospital for Neurology and Neurosurgery, London, UK
| | - Ali Amad
- University of Lille, Inserm U1172, CHU de Lille, Lille Neuroscience & Cognition (LilNCog), Lille, France; Department of Neuroimaging, King's College London, London, UK
| | - Glyn Lewis
- Division of Psychiatry, University College London, London, UK
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Corvetto JF, Federspiel A, Sewe MO, Müller T, Bunker A, Sauerborn R. Impact of heat on mental health emergency visits: a time series study from all public emergency centres, in Curitiba, Brazil. BMJ Open 2023; 13:e079049. [PMID: 38135317 DOI: 10.1136/bmjopen-2023-079049] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/24/2023] Open
Abstract
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 (RREDV) 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 RREDV 1.03(95% CI 1.01 to 1.05-single-lag 2), and cumulatively of RREDV 1.15 (95% CI 1.05 to 1.26-lag-cumulative 0-6). Strong risk was observed for patients with suicide attempts (RREDV 1.85, 95% CI 1.08 to 3.16) and neurotic disorders (RREDV 1.18, 95% CI 1.06 to 1.31). As to demographic subgroups, females (RREDV 1.20, 95% CI 1.08 to 1.34) and patients aged 18-64 (RREDV 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 (RREDV 0.60, 95% CI 0.40 to 0.89), personality disorders (RREDV 0.48, 95% CI 0.26 to 0.91) and MH in general in the elderly ≥65 (RREDV 0.77, 95% CI 0.60 to 0.98). We found no significant RREDV 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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Affiliation(s)
| | - Andrea Federspiel
- Private Psychiatric Hospital, Meiringen, Switzerland
- Support Center for Advanced Neuroimaging, Institute for Diagnostic and Interventional Neuroradiology Inselspital, University of Bern, Bern, Switzerland
| | - Maquins Odhiambo Sewe
- Heidelberg Institute of Global Health, Universität Heidelberg, Heidelberg, Germany
- Department of Public Health and Clinical Medicine, Sustainable health section, Umeå University, Umeå, Sweden
| | - Thomas Müller
- Private Psychiatric Hospital, Meiringen, Switzerland
- Translational Research Center, University Hospital of Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland
| | - Aditi Bunker
- Heidelberg Institute of Global Health, Universität Heidelberg, Heidelberg, Germany
| | - Rainer Sauerborn
- Heidelberg Institute of Global Health, Universität Heidelberg, Heidelberg, Germany
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Wu WJ, Hutton J, Zordan R, Ranse J, Crilly J, Tutticci N, English T, Currie J. Review article: Scoping review of the characteristics and outcomes of adults presenting to the emergency department during heatwaves. Emerg Med Australas 2023; 35:903-920. [PMID: 37788821 DOI: 10.1111/1742-6723.14317] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2022] [Revised: 08/09/2023] [Accepted: 08/24/2023] [Indexed: 10/05/2023]
Abstract
As a result of climate change heatwaves are expected to increase in frequency and intensity and will have detrimental impacts on human health globally. EDs are often the critical point of care for acute heat illnesses and other conditions associated with heat exposure. Existing literature has focused on heatwave-related hospitalisation and mortality. This scoping review aimed to identify, evaluate and summarise current literature regarding patient characteristics and outcomes of ED admissions from heatwaves. A scoping review of the literature was conducted using six databases: Medline, EMBASE, EMCARE, CINAHL, PsycINFO, and Scopus, using MeSH terms and keywords related to 'heatwave' and 'Emergency Department'. Articles were included if they were: published in English from January 2000 to August 2021, related to ED, and examined high temperature periods consistent with heatwave criteria. Articles were appraised using the Mixed Methods Appraisal Tool (MMAT). Thirty-one studies were included, mostly from the United States, Australia, and France. The study designs include retrospective case analysis, case-control, and time-series analysis. Eight studies examined known heatwaves, 21 used different criteria to identify heatwave occurrence, and two focused on heat-related illness. The selected articles display a moderate-high quality on MMAT. ED admissions for both heat-related illnesses and other conditions increased during heatwaves, with up to 18.5 times risk increase. The risk was elevated for all population groups, and substantially in the elderly, male patients with certain comorbidities, medications, or lower socioeconomic status. Outcomes including hospitalisation and mortality rates after ED admissions showed positive associations with heatwaves. The heatwaves resulting from climate change will place increasing demands on EDs providing care for increasingly susceptible populations. Significant public heatwave planning across multiple sectors is required to reduce the risk of overwhelming EDs with these patients.
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Affiliation(s)
- Wendy Jingyi Wu
- Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, Melbourne, Victoria, Australia
| | - Jennie Hutton
- Emergency Department, St Vincent's Hospital Melbourne, Melbourne, Victoria, Australia
| | - Rachel Zordan
- Education and Learning, St Vincent's Hospital Melbourne, Melbourne, Victoria, Australia
| | - Jamie Ranse
- School of Nursing and Midwifery, Griffith University, Brisbane, Queensland, Australia
| | - Julia Crilly
- Department of Emergency Medicine, Gold Coast Hospital and Health Service, Gold Coast, Queensland, Australia
| | - Naomi Tutticci
- School of Nursing and Midwifery, Griffith University, Brisbane, Queensland, Australia
| | - Timothy English
- Sydney School of Health Sciences, The University of Sydney, Sydney, New South Wales, Australia
| | - Jane Currie
- School of Nursing, Faculty of Health, Queensland University of Technology, Brisbane, Queensland, Australia
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Hu J, Feng Y, Su H, Xu Z, Ho HC, Zheng H, Zhang W, Tao J, Wu K, Hossain MZ, Zhang Y, Hu K, Huang C, Cheng J. Seasonal peak and the role of local weather in schizophrenia occurrence: A global analysis of epidemiological evidence. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 899:165658. [PMID: 37478950 DOI: 10.1016/j.scitotenv.2023.165658] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/25/2023] [Revised: 07/07/2023] [Accepted: 07/17/2023] [Indexed: 07/23/2023]
Abstract
BACKGROUND Many studies have shown that the onset of schizophrenia peaked in certain months within a year and the local weather conditions could affect the morbidity risk of schizophrenia. This study aimed to conduct a systematic analysis of schizophrenia seasonality in different countries of the world and to explore the effects of weather factors globally. METHODS We searched three databases (PubMed, Web of Science, and China National Knowledge Infrastructure) for eligible studies published up to September 2022. Schizophrenia seasonality was compared between hemispheres and within China. A meta-analysis was conducted to pool excess risk (ER, absolute percentage increase in risk) of the onset of schizophrenia associated with various weather factors including temperature (an increase or decrease of temperature as a reflection of high or low temperature; heatwave; temperature variation), precipitation, etc. RESULTS: We identified 84 relevant articles from 22 countries, mainly in China. The seasonality analysis found that the onset of schizophrenia mostly peaked in the cold season in the southern hemisphere but in the warm season in the northern hemisphere. Interestingly in China, schizophrenia seasonality presented two peaks, respectively in the late cold and warm seasons. The meta-analysis further revealed an increased risk of schizophrenia after short-term exposure to high temperature [ER%: 0.45 % (95 % confidence interval (CI): 0.14 % to 0.76 %)], low temperature [ER%: 0.52 % (95%CI: 0.29 % to 0.75 %)], heatwave [ER%: 7.26 % (95%CI: 4.45 % to 10.14 %)], temperature variation [ER%: 1.02 % (95%CI: 0.55 % to 1.50 %)], extreme precipitation [ER%: 3.96 % (95%CI: 2.29 % to 5.67 %)]. The effect of other weather factors such as sunlight on schizophrenia was scarcely investigated with inconsistent findings. CONCLUSION This study provided evidence of intra- and inter-country variations in schizophrenia seasonality, especially the double-peak seasons in China. Exposure to local weather conditions mainly temperature changes and precipitation could affect the onset risk of schizophrenia.
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Affiliation(s)
- Jihong Hu
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, China; Anhui Province Key Laboratory of Major Autoimmune Disease, Hefei, China
| | - Yufan Feng
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, China; Anhui Province Key Laboratory of Major Autoimmune Disease, Hefei, China
| | - Hong Su
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, China; Anhui Province Key Laboratory of Major Autoimmune Disease, Hefei, China
| | - Zhiwei Xu
- School of Medicine and Dentistry, Griffith University, Gold Coast, Queensland, Australia
| | - Hung Chak Ho
- Department of Public and International Affairs, City University of Hong Kong, Hong Kong, China
| | - Hao Zheng
- Department of Environmental Health, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China
| | - Wenyi Zhang
- Chinese PLA Center for Disease Control and Prevention, Beijing, China
| | - Junwen Tao
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, China; Anhui Province Key Laboratory of Major Autoimmune Disease, Hefei, China
| | - Keyu Wu
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, China; Anhui Province Key Laboratory of Major Autoimmune Disease, Hefei, China
| | - Mohammad Zahid Hossain
- International Centre for Diarrhoeal Disease Research, Bangladesh (icddr, b), Dhaka, Bangladesh
| | - Yunquan Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University of Science and Technology, Wuhan, China
| | - Kejia Hu
- Department of Big Data in Health Science, School of Public Health, Zhejiang University, Hangzhou, China
| | - Cunrui Huang
- Vanke School of Public Health, Tsinghua University, Beijing, China.
| | - Jian Cheng
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, China; Anhui Province Key Laboratory of Major Autoimmune Disease, Hefei, China.
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Chang HH, Zhang H, Latimore AD, Murray BP, D'Souza RR, Scovronick N, Gribble MO, Ebelt ST. Associations between short-term ambient temperature exposure and emergency department visits for amphetamine, cocaine, and opioid use in California from 2005 to 2019. ENVIRONMENT INTERNATIONAL 2023; 181:108233. [PMID: 37897873 PMCID: PMC10712015 DOI: 10.1016/j.envint.2023.108233] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/23/2023] [Revised: 09/12/2023] [Accepted: 09/25/2023] [Indexed: 10/30/2023]
Abstract
Substance use disorder is a growing public health challenge in the United States. People who use drugs may be more vulnerable to ambient heat due to the effects of drugs on thermoregulation and their risk environment. There have been limited population-based studies of ambient temperature and drug-related morbidity. We examined short-term associations between daily ambient temperature and emergency department (ED) visits for use or overdose of amphetamine, cocaine and opioids in California during the period 2005 to 2019. Daily ZIP code-level maximum, mean, and minimum temperature exposures were derived from 1-km data Daymet products. A time-stratified case-crossover design was used to estimate cumulative non-linear associations of daily temperature for lag days 0 to 3. Stratified analyses by patient sex, race, and ethnicity were also conducted. The study included over 3.4 million drug-related ED visits. We found positive associations between daily temperature and ED visits for all outcomes examined. An increase in daily mean temperature from the 50th to the 95th percentile was associated with ED visits for amphetamine use (OR = 1.072, 95% CI: 1.058, 1.086), cocaine use (OR = 1.044, 95% CI: 1.021, 1.068 and opioid use (OR = 1.041, 95% CI: 1.025, 1.057). Stronger positive associations were also observed for overdose: amphetamine overdose (OR = 1.150, 95% CI: 1.085, 1.218), cocaine overdose (OR = 1.159, 95% CI: 1.053, 1.276), and opioid overdose (OR = 1.079, 95% CI: 1.054, 1.106). In summary, people who use stimulants and opioids may be a subpopulation sensitive to short-term higher ambient temperature. Mitigating heat exposure can be considered in harm reduction strategies in response to the substance use epidemic and global climate change.
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Affiliation(s)
- Howard H Chang
- Department of Biostatistics and Bioinformatics, Emory University, Atlanta, GA, USA; Gangarosa Department of Environmental Health, Emory University, Atlanta, GA, USA.
| | - Haisu Zhang
- Gangarosa Department of Environmental Health, Emory University, Atlanta, GA, USA
| | - Amanda D Latimore
- Center for Addiction Research and Effective Solutions, American Institutes for Research, Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Brian P Murray
- Emergency Medicine, Boonshoft School of Medicine, Wright State University, Dayton, OH, USA
| | - Rohan R D'Souza
- Department of Biostatistics and Bioinformatics, Emory University, Atlanta, GA, USA
| | - Noah Scovronick
- Gangarosa Department of Environmental Health, Emory University, Atlanta, GA, USA
| | - Matthew O Gribble
- Department of Epidemiology, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Stefanie T Ebelt
- Gangarosa Department of Environmental Health, Emory University, Atlanta, GA, USA
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11
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Wertis L, Sugg MM, Runkle JD, Rao D. Socio-Environmental Determinants of Mental and Behavioral Disorders in Youth: A Machine Learning Approach. GEOHEALTH 2023; 7:e2023GH000839. [PMID: 37711362 PMCID: PMC10499369 DOI: 10.1029/2023gh000839] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/10/2023] [Revised: 08/17/2023] [Accepted: 08/22/2023] [Indexed: 09/16/2023]
Abstract
Growing evidence indicates that extreme environmental conditions in summer months have an adverse impact on mental and behavioral disorders (MBD), but there is limited research looking at youth populations. The objective of this study was to apply machine learning approaches to identify key variables that predict MBD-related emergency room (ER) visits in youths in select North Carolina cities among adolescent populations. Daily MBD-related ER visits, which totaled over 42,000 records, were paired with daily environmental conditions, as well as sociodemographic variables to determine if certain conditions lead to higher vulnerability to exacerbated mental health disorders. Four machine learning models (i.e., generalized linear model, generalized additive model, extreme gradient boosting, random forest) were used to assess the predictive performance of multiple environmental and sociodemographic variables on MBD-related ER visits for all cities. The best-performing machine learning model was then applied to each of the six individual cities. As a subanalysis, a distributed lag nonlinear model was used to confirm results. In the all cities scenario, sociodemographic variables contributed the greatest to the overall MBD prediction. In the individual cities scenario, four cities had a 24-hr difference in the maximum temperature, and two of the cities had a 24-hr difference in the minimum temperature, maximum temperature, or Normalized Difference Vegetation Index as a leading predictor of MBD ER visits. Results can inform the use of machine learning models for predicting MBD during high-temperature events and identify variables that affect youth MBD responses during these events.
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Affiliation(s)
- Luke Wertis
- Department of Geography and PlanningAppalachian State UniversityBooneNCUSA
| | - Margaret M. Sugg
- Department of Geography and PlanningAppalachian State UniversityBooneNCUSA
| | | | - Douglas Rao
- NC Institute for Climate StudiesNC State UniversityRaleighNCUSA
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12
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Haas M, Lucic M, Pichler F, Lein A, Brkic FF, Riss D, Liu DT. Meteorological extremes and their impact on tinnitus-related emergency room visits: a time-series analysis. Eur Arch Otorhinolaryngol 2023; 280:3997-4007. [PMID: 36856808 PMCID: PMC9976663 DOI: 10.1007/s00405-023-07894-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2022] [Accepted: 02/20/2023] [Indexed: 03/02/2023]
Abstract
PURPOSE Extreme weather events are rising due to the accelerating pace of climate change. These events impact human health and increase emergency room visits (EV) for many morbidities. Tinnitus is a common cause of EVs within otolaryngology in Germany and Austria. The effect of extreme weather conditions on tinnitus-related EVs is unknown. METHODS A total of 526 tinnitus-related EVs at a tertiary care hospital in Vienna were identified. A distributed lag non-linear model with a maximum lag period of 14 days was fitted to investigate the immediate and delayed effect of single-day and prolonged (three-day) extreme atmospheric pressure, relative humidity, mean temperature, precipitation and mean wind speed on EV rates. Extreme conditions were defined as the 1st, 5th, 95th, and 99th percentile of the meteorological variables. Relative risk (RR) is defined as risk for tinnitus-related EVs at an extreme condition compared to the risk at the median weather condition. Cumulative RR (cRR) is the total cumulated EV risk for a given time period. RESULTS High relative humidity increased same-day RR for tinnitus-related EVs to 1.75. Both low and high atmospheric pressure raised cRR as early as three days after an event to a maximum of 3.24. Low temperatures mitigated cRR within 4 days, while high temperatures tended to increase risk. Prolonged precipitation reduced cRR within one day. CONCLUSION Extreme meteorological conditions are associated with tinnitus-related EV rates. Further investigation into potential causative links and underlying pathophysiological mechanisms is warranted.
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Affiliation(s)
- Markus Haas
- Department of Otorhinolaryngology, Head and Neck Surgery, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria
| | - Mateo Lucic
- Department of Otorhinolaryngology, Head and Neck Surgery, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria
| | - Franziska Pichler
- Department of Otorhinolaryngology, Head and Neck Surgery, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria
| | - Alexander Lein
- Department of Otorhinolaryngology, Head and Neck Surgery, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria
| | - Faris F Brkic
- Department of Otorhinolaryngology, Head and Neck Surgery, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria
| | - Dominik Riss
- Department of Otorhinolaryngology, Head and Neck Surgery, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria.
| | - David T Liu
- Department of Otorhinolaryngology, Head and Neck Surgery, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria
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13
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Vergunst F, Berry HL, Minor K, Chadi N. Climate Change and Substance-Use Behaviors: A Risk-Pathways Framework. PERSPECTIVES ON PSYCHOLOGICAL SCIENCE 2023; 18:936-954. [PMID: 36441663 PMCID: PMC10336608 DOI: 10.1177/17456916221132739] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/20/2023]
Abstract
Climate change is undermining the mental and physical health of global populations, but the question of how it is affecting substance-use behaviors has not been systematically examined. In this narrative synthesis, we find that climate change could increase harmful substance use worldwide through at least five pathways: psychosocial stress arising from the destabilization of social, environmental, economic, and geopolitical support systems; increased rates of mental disorders; increased physical-health burden; incremental harmful changes to established behavior patterns; and worry about the dangers of unchecked climate change. These pathways could operate independently, additively, interactively, and cumulatively to increase substance-use vulnerability. Young people face disproportionate risks because of their high vulnerability to mental-health problems and substance-use disorders and greater number of life years ahead in which to be exposed to current and worsening climate change. We suggest that systems thinking and developmental life-course approaches provide practical frameworks for conceptualizing this relationship. Further conceptual, methodological, and empirical work is urgently needed to evaluate the nature and scope of this burden so that effective adaptive and preventive action can be taken.
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Affiliation(s)
- Francis Vergunst
- Department of Special Needs Education, University of Oslo
- Department of Social and Preventive Medicine, University of Montreal
- Ste-Justine University Hospital Research Center, Montreal, Québec, Canada
| | - Helen L Berry
- Australian Institute of Health Innovation, Macquarie University
| | - Kelton Minor
- Center for Social Data Science, University of Copenhagen
- Data Science Institute, Columbia University
| | - Nicholas Chadi
- Ste-Justine University Hospital Research Center, Montreal, Québec, Canada
- Department of Pediatrics, Faculty of Medicine, University of Montreal
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14
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Villeneuve PJ, Huynh D, Lavigne É, Colman I, Anisman H, Peters C, Rodríguez-Villamizar LA. Daily changes in ambient air pollution concentrations and temperature and suicide mortality in Canada: Findings from a national time-stratified case-crossover study. ENVIRONMENTAL RESEARCH 2023; 223:115477. [PMID: 36781013 DOI: 10.1016/j.envres.2023.115477] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/02/2022] [Revised: 01/27/2023] [Accepted: 02/09/2023] [Indexed: 06/18/2023]
Abstract
INTRODUCTION Worldwide, approximately 1900 people die by suicide daily. Daily elevations in air pollution and temperature have previously been linked to a higher risk of death from suicide. To date, there have been relatively few studies of air pollution and suicide, particularly at a national level. National analyses play an important role in shaping health policy to mitigate against adverse health outcomes. METHODS We used a time-stratified case-crossover study design to investigate the influence of short-term (i.e., day to day) interquartile range (IQR) increases in air pollutants (nitrogen dioxide [NO2], ozone [O3], and fine particulate matter [PM2.5]) and temperature on suicide mortality in Canada between 2002 and 2015. For air pollution models, odds ratios (ORs) derived from conditional logistic regression models were adjusted for average daily temperature, and holidays. For temperature models, ORs were adjusted for holidays. Stratified analyses were undertaken by suicide type (non-violent and violent), sex, age, and season. RESULTS Analyses are based on 50,800 suicide deaths. Overall, temperature effects were stronger than those for air pollution. A same day IQR increase in temperature (9.6 °C) was associated with a 10.1% increase (95% confidence interval (CI): 9.0%-11.2%) of death from suicide. For 3-day average increase of O3 (IQR = 14.1 ppb), PM2.5 (IQR = 5.6 μg/m3) and NO2 (IQR = 9.7 ppb) the corresponding risks were 4.7% (95% CI: 3.9, 5.6), 3.4% (95% CI: 3.0, 3.8), and 2.0% (95% CI: 1.1, 2.8), respectively. All pollutants showed stronger associations with suicide during the warmer season (April-September). Stratified analyses revealed stronger associations for both temperature and air pollution in women. CONCLUSIONS Daily increases in air pollution and temperature were found to increase the risk of death from suicide. Females, particularly during warmer season, were most vulnerable to these exposures. Policy decisions related to air pollution and climate change should consider effects on mental health.
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Affiliation(s)
- Paul J Villeneuve
- Department of Neuroscience, Faculty of Science, Carleton University, Ottawa, Ontario, Canada.
| | - David Huynh
- Department of Neuroscience, Faculty of Science, Carleton University, Ottawa, Ontario, Canada
| | - Éric Lavigne
- Water and Air Quality Bureau, Health Canada, Ottawa, Ontario, Canada; School of Epidemiology and Public Health, Faculty of Medicine, University of Ottawa, Ottawa, Ontario, Canada
| | - Ian Colman
- School of Epidemiology and Public Health, Faculty of Medicine, University of Ottawa, Ottawa, Ontario, Canada
| | - Hymie Anisman
- Department of Neuroscience, Faculty of Science, Carleton University, Ottawa, Ontario, Canada
| | - Cheryl Peters
- BC Centre for Disease Control, Vancouver, Canada; BC Cancer, Vancouver, Canada; School of Population and Public Health, University of British Columbia, Vancouver, Canada
| | - Laura A Rodríguez-Villamizar
- Department of Neuroscience, Faculty of Science, Carleton University, Ottawa, Ontario, Canada; Department of Public Health, School of Medicine, Universidad Industrial de Santander, Bucaramanga, Santander, Colombia
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15
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Zhou Y, Ji A, Tang E, Liu J, Yao C, Liu X, Xu C, Xiao H, Hu Y, Jiang Y, Li D, Du N, Li Y, Zhou L, Cai T. The role of extreme high humidex in depression in chongqing, China: A time series-analysis. ENVIRONMENTAL RESEARCH 2023; 222:115400. [PMID: 36736551 DOI: 10.1016/j.envres.2023.115400] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/03/2022] [Revised: 01/18/2023] [Accepted: 01/30/2023] [Indexed: 06/18/2023]
Abstract
As global climate change intensifies, people are paying increasing attention to the impact of temperature changes on adverse mental health outcomes, especially depression. While increasing attention has been paid to the effect of temperature, there is little research on the effect of humidity. We aimed to investigate the association between humidex, an index combining temperature and humidity to reflect perceived temperature, and outpatient visits for depression from 2014 to 2019 in Chongqing, the largest and one of the most hot and humid cities of China. We also aimed to further identify susceptible subgroups. A distributed lag non-linear model (DLNM) was used to explore the concentration-response relationship between humidex and depression outpatient visits. Hierarchical analysis was carried out by age and gender. A total of 155,436 visits for depression were collected from 2014 to 2019 (2191 days). We found that depression outpatient visits were significantly associated with extremely high humidex (≥40). The significant positive single-lag day effect existed at lag 0 (RR = 1.029, 95%CI: 1.000-1.059) to lag 2 (RR = 1.01, 95%CI: 1.004-1.028), and lag 12 (RR = 1.013, 95%CI: 1.002-1.024). The significant cumulative adverse effects lasted from lag 01 to lag 014. Hierarchical analyses showed that females and the elderly (≥60 years) appeared to be more susceptible to extremely high humidex. The attributable numbers (AN) and fraction (AF) of extremely high humidex on depression outpatients were 1709 and 1.10%, respectively. Extremely high humidex can potentially increase the risk of depression, especially in females and the elderly. More protective measures should be taken in vulnerable populations.
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Affiliation(s)
- Yumeng Zhou
- Department of Epidemiology, College of Preventive Medicine, Army Medical University (Third Military Medical University), Chongqing, 400038, China
| | - Ailing Ji
- Department of Preventive Medicine & Chongqing Engineering Research Center of Pharmaceutical Sciences, Chongqing Medical and Pharmaceutical College, Chongqing, 401331, China
| | - Enjie Tang
- Department of Epidemiology, College of Preventive Medicine, Army Medical University (Third Military Medical University), Chongqing, 400038, China
| | - Jianghong Liu
- Department of Family and Community Health, University of Pennsylvania School of Nursing, Philadelphia, PA, 19104, USA
| | - Chunyan Yao
- Department of Epidemiology, College of Preventive Medicine, Army Medical University (Third Military Medical University), Chongqing, 400038, China
| | - Xiaoling Liu
- Department of Epidemiology, College of Preventive Medicine, Army Medical University (Third Military Medical University), Chongqing, 400038, China
| | - Chen Xu
- Department of Epidemiology, College of Preventive Medicine, Army Medical University (Third Military Medical University), Chongqing, 400038, China; Department of Hepatobiliary Surgery, Xijing Hospital, Air Force Medical University (Fourth Military Medical University), Xi'an, 710032, China
| | - Hua Xiao
- Department of Epidemiology, College of Preventive Medicine, Army Medical University (Third Military Medical University), Chongqing, 400038, China
| | - Yuegu Hu
- Department of Epidemiology, College of Preventive Medicine, Army Medical University (Third Military Medical University), Chongqing, 400038, China
| | - Yuexu Jiang
- Department of Nutrition and Food Hygiene, School of Public Health Guizhou Medical University, Guiyang, 550025, China
| | - Dawei Li
- Department of Epidemiology, College of Preventive Medicine, Army Medical University (Third Military Medical University), Chongqing, 400038, China
| | - Ning Du
- Department of Epidemiology, College of Preventive Medicine, Army Medical University (Third Military Medical University), Chongqing, 400038, China
| | - Yafei Li
- Department of Epidemiology, College of Preventive Medicine, Army Medical University (Third Military Medical University), Chongqing, 400038, China
| | - Laixin Zhou
- Medical Department, Southwest Hospital, Army Medical University (Third Military Medical University), Chongqing, 400038, China.
| | - Tongjian Cai
- Department of Epidemiology, College of Preventive Medicine, Army Medical University (Third Military Medical University), Chongqing, 400038, China.
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16
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Lavigne E, Maltby A, Côté JN, Weinberger KR, Hebbern C, Vicedo-Cabrera AM, Wilk P. The effect modification of extreme temperatures on mental and behavior disorders by environmental factors and individual-level characteristics in Canada. ENVIRONMENTAL RESEARCH 2023; 219:114999. [PMID: 36565843 DOI: 10.1016/j.envres.2022.114999] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/27/2022] [Revised: 11/17/2022] [Accepted: 12/03/2022] [Indexed: 06/17/2023]
Abstract
OBJECTIVE Ambient extreme temperatures have been associated with mental and behavior disorders (MBDs). However, few studies have assesed whether vulnerability factors such as ambient air pollution, pre-existing mental health conditions and residential environmental factors increase susceptibility. This study aims to evaluate the associations between short-term variations in outdoor ambient extreme temperatures and MBD-related emergency department (ED) visits and how these associations are modified by vulnerability factors. METHODS We conducted a case-crossover study of 9,958,759 MBD ED visits in Alberta and Ontario, Canada made between March 1st, 2004 and December 31st, 2020. Daily average temperature was assigned to individual cases with ED visits for MBD using gridded data at a 1 km × 1 km spatial resolution. Conditional logistic regression was used to estimate associations between extreme temperatures (i.e., risk of ED visit at the 2.5th percentile temperature for cold and 97.5th percentile temperature for heat for each health region compared to the minimal temperature risk) and MBD ED visits. Age, sex, pre-existing mental health conditions, ambient air pollution (i.e. PM2.5, NO2 and O3) and residential environmental factors (neighborhood deprivation, residential green space exposure and urbanization) were evaluated as potential effect modifiers. RESULTS Cumulative exposure to extreme heat over 0-5 days (odds ratio [OR] = 1.145; 95% CI: 1.121-1.171) was associated with ED visits for any MBD. However, cumulative exposure to extreme cold was associated with lower risk of ED visits for any MBD (OR = 0.981; 95% CI: 0.976-0.987). We also found heat to be associated with ED visits for specific MBDs such as substance use disorders, dementia, neurotic disorders, schizophrenia and personality behavior disorder. Individuals with pre-existing mental health conditions, those exposed to higher daily concentrations of NO2 and O3 and those residing in neighborhoods with greater material and social deprivation were at higher risk of heat-related MBD ED visits. Increasing tree canopy coverage appeared to mitigate risks of the effect of heat on MBD ED visits. CONCLUSIONS Findings provide evidence that the impacts of heat on MBD ED visits may vary across different vulnerability factors.
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Affiliation(s)
- Eric Lavigne
- Environmental Health Science and Research Bureau, Health Canada, Ottawa, Ontario, Canada; School of Epidemiology & Public Health, University of Ottawa, Ottawa, Ontario, Canada.
| | - Alana Maltby
- Department of Epidemiology and Biostatistics, Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada
| | - Jean-Nicolas Côté
- Department of Applied Geomatics, Sherbrooke University, Sherbrooke, Quebec, Canada
| | - Kate R Weinberger
- School of Population and Public Health, University of British Columbia, Vancouver, British Columbia, Canada
| | | | - Ana Maria Vicedo-Cabrera
- Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland; Oeschger Center for Climate Change Research, University of Bern, Bern, Switzerland
| | - Piotr Wilk
- Department of Epidemiology and Biostatistics, Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada; Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland; Department of Paediatrics, Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada
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17
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Corvetto JF, Helou AY, Dambach P, Müller T, Sauerborn R. A Systematic Literature Review of the Impact of Climate Change on the Global Demand for Psychiatric Services. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2023; 20:1190. [PMID: 36673946 PMCID: PMC9858749 DOI: 10.3390/ijerph20021190] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/15/2022] [Revised: 01/03/2023] [Accepted: 01/05/2023] [Indexed: 06/17/2023]
Abstract
Climate Change (CC) imposes important global health risks, including on mental health (MH). They are related mostly to psychological suffering caused by climate-related events and to the heat-vulnerability caused by psychiatric disorders. This growing burden may press MH services worldwide, increasing demand on public and private systems in low-, middle-, and high-income countries. According to PRISMA, two independent reviewers searched four databases for papers published before May 2022 that associated climate-related events with healthcare demand for psychiatric conditions. Of the 7432 papers retrieved, we included 105. Only 29 were carried out in low- and middle-income countries. Twelve related the admission numbers to (i) extreme events, while 93 to (ii) meteorological factors-mostly heat. Emergency visits and hospitalizations were significantly higher during hot periods for MH disorders, especially until lag 5-7. Extreme events also caused more consultations. Suicide (completed or attempted), substance misuse, schizophrenia, mood, organic and neurotic disorders, and mortality were strongly affected by CC. This high healthcare demand is evidence of the burden patients may undergo. In addition, public and private services may face a shortage of financial and human resources. Finally, the increased use of healthcare facilities, in turn, intensifies greenhouse gas emissions, representing a self-enforcing cycle for CC. Further research is needed to better clarify how extreme events affect MH services and, in addition, if services in low- and middle-income countries are more intensely demanded by CC, as compared to richer countries.
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Affiliation(s)
- Julia Feriato Corvetto
- Heidelberg Institute of Global Health (HIGH), Heidelberg University Hospital, Heidelberg University, 69120 Heidelberg, Germany
| | - Ammir Yacoub Helou
- Department of Anatomy, Institute of Biomedical Sciences, University of São Paulo, São Paulo 05508-900, Brazil
| | - Peter Dambach
- Heidelberg Institute of Global Health (HIGH), Heidelberg University Hospital, Heidelberg University, 69120 Heidelberg, Germany
| | - Thomas Müller
- Private Clinic Meiringen, 3860 Meiringen, Switzerland
- Translational Research Center, University Hospital of Psychiatry and Psychotherapy, University of Bern, 3000 Bern, Switzerland
| | - Rainer Sauerborn
- Heidelberg Institute of Global Health (HIGH), Heidelberg University Hospital, Heidelberg University, 69120 Heidelberg, Germany
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18
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Qiu X, Wei Y, Weisskopf M, Spiro A, Shi L, Castro E, Coull B, Koutrakis P, Schwartz J. Air pollution, climate conditions and risk of hospital admissions for psychotic disorders in U.S. residents. ENVIRONMENTAL RESEARCH 2023; 216:114636. [PMID: 36283440 PMCID: PMC9712244 DOI: 10.1016/j.envres.2022.114636] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/01/2022] [Revised: 10/04/2022] [Accepted: 10/20/2022] [Indexed: 05/07/2023]
Abstract
BACKGROUND The physical environmental risk factors for psychotic disorders are poorly understood. This study aimed to examine the associations between exposure to ambient air pollution, climate measures and risk of hospitalization for psychotic disorders and uncover potential disparities by demographic, community factors. METHODS Using Health Cost and Utilization Project (HCUP) State Inpatient Databases (SIDs), we applied zero-inflated negative binomial regression to obtain relative risks of hospitalization due to psychotic disorders associated with increases in residential exposure to ambient air pollution (fine particulate matter, PM2.5; nitrogen dioxide, NO2), temperature and cumulative precipitation. The analysis covered all-age residents in eight U.S. states over the period of 2002-2016. We additionally investigated modification by age, sex and area-level poverty, percent of blacks and Hispanics. RESULTS Over the study period and among the covered areas, we identified 1,211,100 admissions due to psychotic disorders. For each interquartile (IQR) increase in exposure to PM2.5 and NO2, we observed a relative risk (RR) of 1.11 (95% confidence interval (CI) = 1.09, 1.13) and 1.27 (95% CI = 1.24, 1.31), respectively. For each 1 °C increase of temperature, the RR was 1.03 (95% CI = 1.03, 1.04). Males were more affected by NO2. Older age residents (≥30 yrs) were more sensitive to PM2.5 and temperature. Population living in economically disadvantaged areas were more affected by air pollution. CONCLUSIONS The study suggests that living in areas with higher levels of air pollutants and ambient temperature could contribute to additional risk of inpatient care for individuals with psychotic disorders.
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Affiliation(s)
- Xinye Qiu
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
| | - Yaguang Wei
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Marc Weisskopf
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Avron Spiro
- Department of Psychiatry, Boston University School of Medicine, Boston, MA, USA; Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA; Massachusetts Veterans Epidemiology Research and Information Center, Veterans Affairs Boston Healthcare System, Boston, MA, USA
| | - Liuhua Shi
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Edgar Castro
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Brent Coull
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Petros Koutrakis
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Joel Schwartz
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
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19
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Short-term effects of extreme meteorological factors on daily outpatient visits for anxiety in Suzhou, Anhui Province, China: a time series study. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:12672-12681. [PMID: 36114961 DOI: 10.1007/s11356-022-23008-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/25/2022] [Accepted: 09/09/2022] [Indexed: 02/07/2023]
Abstract
Anxiety disorders are a major public health concern in China. Previous studies have provided evidence for associations between ambient temperature and anxiety outpatient visits, but no studies have examined short-term effects of other meteorological factors such as sunshine duration, wind speed, and precipitation on increased anxiety outpatient visits. We aimed to assess the association between climatic factors and outpatient visits for anxiety in Suzhou, a city with a temperate climate in Anhui Province, China. Daily anxiety outpatient visits, meteorological factors, and air pollutants from 2017 to 2019 were collected. A quasi-Poisson generalized linear regression model combined with distributed lag non-linear model (DLNM) was used to quantify the effects of extreme meteorological factors (sunshine duration, wind speed, and precipitation) on anxiety outpatient visits. All effects were presented as relative risk (RR), with the 90th and 10th percentiles of meteorological factors compared to the median. Subgroup analyses by age and gender were performed to identify susceptible subgroups. A total of 11,323 anxiety outpatient visits were reported. Extremely low sunshine duration and low and high wind speed increased the risk of anxiety outpatient visits. The strongest cumulative effects occurred at lag 0-14 days, and the corresponding RRs of extremely low sunshine duration and low and high wind speed were 1.417 (95% CI: 1.056-1.901), 1.529 (95% CI: 1.028-2.275), and 1.396 (95% CI: 1.007-1.935), respectively. Subgroup analyses showed that males and people aged ≥45 years appeared to be more susceptible to the cumulative effects of extremely low sunshine duration. In addition, the adverse effects of extreme wind speed were more pronounced in the cold season. This study provides evidence that extreme climatic factors have a lagged effect on anxiety outpatient visits. In the context of climate change, these findings may help develop weather-based early warning systems to minimize the effects of extreme meteorological factors on anxiety.
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Crane K, Li L, Subramanian P, Rovit E, Liu J. Climate Change and Mental Health: A Review of Empirical Evidence, Mechanisms and Implications. ATMOSPHERE 2022; 13:2096. [PMID: 37727770 PMCID: PMC10508914 DOI: 10.3390/atmos13122096] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/21/2023]
Abstract
Anthropogenic climate change is an existential threat whose influences continue to increase in severity. It is pivotal to understand the implications of climate change and their effects on mental health. This integrative review aims to summarize the relevant evidence examining the harm climate change may have on mental health, suggest potential mechanisms and discuss implications. Empirical evidence has begun to indicate that negative mental health outcomes are a relevant and notable consequence of climate change. Specifically, these negative outcomes range from increased rates of psychiatric diagnoses such as depression, anxiety and post-traumatic stress disorder to higher measures of suicide, aggression and crime. Potential mechanisms are thought to include neuroinflammatory responses to stress, maladaptive serotonergic receptors and detrimental effects on one's own physical health, as well as the community wellbeing. While climate change and mental health are salient areas of research, the evidence examining an association is limited. Therefore, further work should be conducted to delineate exact pathways of action to explain the mediators and mechanisms of the interaction between climate change and mental health.
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Affiliation(s)
- Katelin Crane
- School of Nursing, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Linda Li
- Department of Anesthesiology and Perioperative Medicine, University of California, Los Angeles, CA 90095, USA
| | - Pearl Subramanian
- Donald and Barbara Zucker School of Medicine, Hempstead, NY 11549, USA
| | - Elizabeth Rovit
- Lewis Katz School of Medicine, Temple University, Philadelphia, PA 19140, USA
| | - Jianghong Liu
- School of Nursing, University of Pennsylvania, Philadelphia, PA 19104, USA
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21
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Palinkas LA, Hurlburt MS, Fernandez C, De Leon J, Yu K, Salinas E, Garcia E, Johnston J, Rahman MM, Silva SJ, McConnell RS. Vulnerable, Resilient, or Both? A Qualitative Study of Adaptation Resources and Behaviors to Heat Waves and Health Outcomes of Low-Income Residents of Urban Heat Islands. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:11090. [PMID: 36078804 PMCID: PMC9517765 DOI: 10.3390/ijerph191711090] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/19/2022] [Revised: 08/19/2022] [Accepted: 09/01/2022] [Indexed: 06/15/2023]
Abstract
Little is known of how low-income residents of urban heat islands engage their knowledge, attitudes, behaviors, and resources to mitigate the health impacts of heat waves. In this qualitative study, we conducted semi-structured interviews with 40 adults in two such neighborhoods in Los Angeles California to explore their adaptation resources and behaviors, the impacts of heat waves on physical and mental health, and threat assessments of future heat waves. Eighty percent of participants received advanced warning of heat waves from television news and social media. The most common resource was air conditioning (AC) units or fans. However, one-third of participants lacked AC, and many of those with AC engaged in limited use due primarily to the high cost of electricity. Adaptation behaviors include staying hydrated, remaining indoors or going to cooler locations, reducing energy usage, and consuming certain foods and drinks. Most of the participants reported some physical or mental health problem or symptom during heat waves, suggesting vulnerability to heat waves. Almost all participants asserted that heat waves were likely to increase in frequency and intensity with adverse health effects for vulnerable populations. Despite limited resources, low-income residents of urban heat islands utilize a wide range of behaviors to minimize the severity of health impacts, suggesting they are both vulnerable and resilient to heat waves.
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Affiliation(s)
- Lawrence A. Palinkas
- Suzanne Dworak-Peck School of Social Work, University of Southern California, Los Angeles, CA 90089, USA
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA 90032, USA
| | - Michael S. Hurlburt
- Suzanne Dworak-Peck School of Social Work, University of Southern California, Los Angeles, CA 90089, USA
| | - Cecilia Fernandez
- Suzanne Dworak-Peck School of Social Work, University of Southern California, Los Angeles, CA 90089, USA
| | - Jessenia De Leon
- Suzanne Dworak-Peck School of Social Work, University of Southern California, Los Angeles, CA 90089, USA
| | - Kexin Yu
- Suzanne Dworak-Peck School of Social Work, University of Southern California, Los Angeles, CA 90089, USA
| | - Erika Salinas
- Suzanne Dworak-Peck School of Social Work, University of Southern California, Los Angeles, CA 90089, USA
| | - Erika Garcia
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA 90032, USA
| | - Jill Johnston
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA 90032, USA
| | - Md. Mostafijur Rahman
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA 90032, USA
| | - Sam J. Silva
- Department of Earth Sciences, Dornsife College of Letters, Arts and Sciences, University of Southern California, Los Angeles, CA 90089, USA
| | - Rob S. McConnell
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA 90032, USA
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22
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Berberian AG, Gonzalez DJX, Cushing LJ. Racial Disparities in Climate Change-Related Health Effects in the United States. Curr Environ Health Rep 2022; 9:451-464. [PMID: 35633370 PMCID: PMC9363288 DOI: 10.1007/s40572-022-00360-w] [Citation(s) in RCA: 41] [Impact Index Per Article: 20.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/26/2022] [Indexed: 11/03/2022]
Abstract
PURPOSE OF REVIEW Climate change is causing warming over most parts of the USA and more extreme weather events. The health impacts of these changes are not experienced equally. We synthesize the recent evidence that climatic changes linked to global warming are having a disparate impact on the health of people of color, including children. RECENT FINDINGS Multiple studies of heat, extreme cold, hurricanes, flooding, and wildfires find evidence that people of color, including Black, Latinx, Native American, Pacific Islander, and Asian communities are at higher risk of climate-related health impacts than Whites, although this is not always the case. Studies of adults have found evidence of racial disparities related to climatic changes with respect to mortality, respiratory and cardiovascular disease, mental health, and heat-related illness. Children are particularly vulnerable to the health impacts of climate change, and infants and children of color have experienced adverse perinatal outcomes, occupational heat stress, and increases in emergency department visits associated with extreme weather. The evidence strongly suggests climate change is an environmental injustice that is likely to exacerbate existing racial disparities across a broad range of health outcomes.
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Affiliation(s)
- Alique G Berberian
- Department of Environmental Health Sciences, University of California, 650 Charles E. Young Drive South, 71-259 CHS, Los Angeles, CA, 90095, USA
| | - David J X Gonzalez
- School of Public Health and Department of Environmental Science, Policy, and Management, University of California, Berkeley, CA, USA
| | - Lara J Cushing
- Department of Environmental Health Sciences, University of California, 650 Charles E. Young Drive South, 71-259 CHS, Los Angeles, CA, 90095, USA.
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Nori-Sarma A, Sun S, Sun Y, Spangler KR, Oblath R, Galea S, Gradus JL, Wellenius GA. Association Between Ambient Heat and Risk of Emergency Department Visits for Mental Health Among US Adults, 2010 to 2019. JAMA Psychiatry 2022; 79:341-349. [PMID: 35195664 PMCID: PMC8867392 DOI: 10.1001/jamapsychiatry.2021.4369] [Citation(s) in RCA: 42] [Impact Index Per Article: 21.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/09/2021] [Accepted: 11/30/2021] [Indexed: 11/28/2022]
Abstract
IMPORTANCE The implications of extreme heat for physical health outcomes have been well documented. However, the association between elevated ambient temperature and specific mental health conditions remains poorly understood. OBJECTIVE To investigate the association between ambient heat and mental health-related emergency department (ED) visits in the contiguous US among adults overall and among potentially sensitive subgroups. DESIGN, SETTING, AND PARTICIPANTS This case-crossover study used medical claims data obtained from OptumLabs Data Warehouse (OLDW) to identify claims for ED visits with a primary or secondary discharge psychiatric diagnosis during warm-season months (May to September) from 2010 through 2019. Claims for adults aged 18 years or older with commercial or Medicare Advantage health insurance who were living in 2775 US counties were included in the analysis. Emergency department visits were excluded if the Clinical Classifications Software code indicated that the visits were for screening for mental health outcomes and impulse control disorders. EXPOSURES County-specific daily maximum ambient temperature on a continuous scale was estimated using the Parameter-Elevation Relationships on Independent Slopes model. Extreme heat was defined as the 95th percentile of the county-specific warm-season temperature distribution. MAIN OUTCOMES AND MEASURES The daily incidence rate of cause-specific mental health diagnoses and a composite end point of any mental health diagnosis were assessed by identifying ED visit claims using primary and secondary discharge diagnosis International Classification of Diseases, Ninth Revision and International Statistical Classification of Diseases and Related Health Problems, Tenth Revision codes. Conditional logistic regression models were used to estimate the incidence rate ratio (IRR) and 95% CIs for the association between daily temperature and incidence rates of ED visits. RESULTS Data from 3 496 762 ED visits among 2 243 395 unique individuals were identified (56.8% [1 274 456] women; mean [SD] age, 51.0 [18.8] years); of these individuals, 14.3% were aged 18 to 26 years, 25.6% were aged 27 to 44 years, 33.3% were aged 45 to 64 years, and 26.8% were aged 65 years or older. Days of extreme heat were associated with an IRR of 1.08 (95% CI, 1.07-1.09) for ED visits for any mental health condition. Associations between extreme heat and ED visits were found for specific mental health conditions, including substance use disorders (IRR, 1.08; 95% CI, 1.07-1.10); anxiety, stress-related, and somatoform disorders (IRR, 1.07; 95% CI, 1.05-1.09); mood disorders (IRR, 1.07; 95% CI, 1.05-1.09); schizophrenia, schizotypal, and delusional disorders (IRR, 1.05; 95% CI, 1.03-1.07); self-harm (IRR, 1.06; 95% CI, 1.01-1.12); and childhood-onset behavioral disorders (IRR, 1.11; 95% CI, 1.05-1.18). In addition, associations were higher among men (IRR, 1.10; 95% CI, 1.08-1.12) and in the US Northeast (IRR, 1.10; 95% CI, 1.07-1.13), Midwest (IRR, 1.11; 95% CI, 1.09-1.13), and Northwest (IRR, 1.12; 95% CI, 1.03-1.21) regions. CONCLUSIONS AND RELEVANCE In this case-crossover study of a large population of US adults with health insurance, days of extreme heat were associated with higher rates of mental health-related ED visits. This finding may be informative for clinicians providing mental health services during periods of extreme heat to prepare for increases in health service needs when times of extreme heat are anticipated.
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Affiliation(s)
- Amruta Nori-Sarma
- Department of Environmental Health, Boston University School of Public Health, Boston, Massachusetts
| | - Shengzhi Sun
- Department of Environmental Health, Boston University School of Public Health, Boston, Massachusetts
- OptumLabs Visiting Scholar, Eden Prairie, Minnesota
| | - Yuantong Sun
- Department of Environmental Health, Boston University School of Public Health, Boston, Massachusetts
| | - Keith R. Spangler
- Department of Environmental Health, Boston University School of Public Health, Boston, Massachusetts
| | - Rachel Oblath
- Department of Psychiatry, Boston Medical Center, Boston, Massachusetts
| | - Sandro Galea
- Boston University School of Public Health, Boston, Massachusetts
| | - Jaimie L. Gradus
- Department of Epidemiology, Boston University School of Public Health, Boston, Massachusetts
| | - Gregory A. Wellenius
- Department of Environmental Health, Boston University School of Public Health, Boston, Massachusetts
- OptumLabs Visiting Scholar, Eden Prairie, Minnesota
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Eum Y, Yoo E. Using GPS-enabled mobile phones to evaluate the associations between human mobility changes and the onset of influenza illness. Spat Spatiotemporal Epidemiol 2022; 40:100458. [PMID: 35120680 PMCID: PMC8818086 DOI: 10.1016/j.sste.2021.100458] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/15/2019] [Revised: 09/19/2021] [Accepted: 10/18/2021] [Indexed: 02/03/2023]
Abstract
Due to the challenges in data collection, there are few studies examining how individuals' routine mobility patterns change when they experience influenza-like symptoms (ILS). In the present study, we aimed to assess the association between changes in routine mobility and ILS using mobile phone-based GPS traces and self-reported surveys from 1,155 participants over the 2016-2017 influenza season. We used a set of mobility metrics to capture individuals' routine mobility patterns and matched their weekly ILS survey responses. For a statistical analysis, we used a time-stratified case-crossover analysis and conducted a stratified analysis to examine if such associations are moderated by demographic and socioeconomic factors, such as age, gender, occupational status, neighborhood poverty and education levels, and work type. We found that statistically significant associations existed between reduced routine mobility patterns and the experience of ILS. Results also indicated that the association between reduced mobility and ILS was significant only for female and for participants with high socioeconomic status. Our findings offered an improved understanding of ILS-associated mobility changes at the individual level and suggest the potential of individual mobility data for influenza surveillance.
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Affiliation(s)
- Youngseob Eum
- Department of Geography, University at Buffalo, State University of New York, Buffalo, NY, USA
| | - EunHye Yoo
- Department of Geography, University at Buffalo, State University of New York, Buffalo, NY, USA
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Health Risks to the Russian Population from Temperature Extremes at the Beginning of the XXI Century. ATMOSPHERE 2021. [DOI: 10.3390/atmos12101331] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
Climate change and climate-sensitive disasters caused by climatic hazards have a significant and increasing direct and indirect impact on human health. Due to its vast area, complex geographical environment and various climatic conditions, Russia is one of the countries that suffers significantly from frequent climate hazards. This paper provides information about temperature extremes in Russia in the beginning of the 21st century, and their impact on human health. A literature search was conducted using the electronic databases Web of Science, Science Direct, Scopus, and e-Library, focusing on peer-reviewed journal articles published in English and in Russian from 2000 to 2021. The results are summarized in 16 studies, which are divided into location-based groups, including Moscow, Saint Petersburg and other large cities located in various climatic zones: in the Arctic, in Siberia and in the southern regions, in ultra-continental and monsoon climate. Heat waves in cities with a temperate continental climate lead to a significant increase in all-cause mortality than cold waves, compared with cities in other climatic zones. At the same time, in northern cities, in contrast to the southern regions and central Siberia, the influence of cold waves is more pronounced on mortality than heat waves. To adequately protect the population from the effects of temperature waves and to carry out preventive measures, it is necessary to know specific threshold values of air temperature in each city.
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