1
|
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.
Collapse
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.
| |
Collapse
|
2
|
Yoo EH, Roberts JE, Suh Y. Delayed effects of air pollution on public bike-sharing system use in Seoul, South Korea: A time series analysis. Soc Sci Med 2024; 352:117030. [PMID: 38852552 DOI: 10.1016/j.socscimed.2024.117030] [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: 12/22/2023] [Revised: 04/18/2024] [Accepted: 05/29/2024] [Indexed: 06/11/2024]
Abstract
BACKGROUND As a complementary means to urban public transit systems, public bike-sharing provides a green and active mode of sustainable mobility, while reducing carbon-dioxide emissions and promoting health. There has been increasing interest in factors affecting bike-sharing usage, but little is known about the effect of ambient air pollution. METHOD To assess the short-term impact of daily exposure to multiple air pollutants (PM2.5, PM10, NO2, and O3) on the public bike-sharing system (PBS) usage in Seoul, South Korea (2018-2021), we applied a quasi-Poisson generalized linear model combined with a distributed lag nonlinear model (DLNM). The model was adjusted for day of the week, holiday, temperature, relative humidity, and long-term trend. We also conducted stratification analyses to examine the potential effect modification by age group, seasonality, and COVID-19. RESULTS We found that there was a negative association between daily ambient air pollution and the PBS usage level at a single lag day 1 (i.e., air quality a day before the event) across all four pollutants. Our results suggest that days with high levels of air pollutants (at 95th percentile) are associated with a 0.91% (0.86% to 0.96%) for PM2.5, 0.89% (0.85% to 0.94%) for PM10, 0.87% (0.82% to 0.91%) for O3, and 0.92% (0.87% to 0.98%) for NO2, reduction in cycling behavior in the next day compared to days with low levels of pollutants (at 25th percentile). No evidence of effect modification was found by seasonality, age nor the COVID-19 pandemic for any of the four pollutants. CONCLUSIONS Our findings suggest that high concentrations of ambient air pollution are associated with decreased rates of PBS usage on the subsequent day regardless of the type of air pollutant measured.
Collapse
Affiliation(s)
- Eun-Hye Yoo
- Department of Geography, State University of New York at Buffalo, NY, USA.
| | - John E Roberts
- Department of Psychology, State University of New York at Buffalo, NY, USA
| | - YongHun Suh
- Department of Geography, Seoul National University, South Korea
| |
Collapse
|
3
|
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.
Collapse
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
| |
Collapse
|
4
|
Yin Z, Jingesi M, Yin Z, Chen S, Huang S, Cheng J, Li X, Liu N, Wang P, Yin P, Jiang H. Short-term effects of temperature-related indices on emergency ambulance dispatches due to mental and behavioral disorders in Shenzhen, China. Front Public Health 2024; 12:1343550. [PMID: 38883192 PMCID: PMC11177611 DOI: 10.3389/fpubh.2024.1343550] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2023] [Accepted: 05/03/2024] [Indexed: 06/18/2024] Open
Abstract
Introduction The precise associations between temperature-related indices and mental and behavioral disorders (MBDs) have yet to be fully elucidated. Our study aims to ascertain the most effective temperature-related index and assess its immediate impact on emergency ambulance dispatches (EADs) due to MBDs in Shenzhen, China. Methods EADs data and meteorological data from January 1, 2013, to December 31, 2020, in Shenzhen were collected. Distributed lag non-linear models (DLNMs) were utilized to examine the non-linear and lagged effects of temperature-related indices on EADs due to MBDs. The Quasi Akaike Information criterion (QAIC) was used to determine the optimal index after standardizing temperature-related indices. After adjusting for confounding factors in the model, we estimated the immediate and cumulative effects of temperature on EADs due to MBDs. Results The analysis of short-term temperature effects on EADs due to MBDs revealed Humidex as the most suitable index. Referring to the optimal Humidex (3.2th percentile, 12.00°C), we observed a significant effect of Humidex over the threshold (34.6th percentile, 26.80°C) on EADs due to MBDs at lag 0-5. The cumulative relative risks for high temperature (90th percentile, 41.90°C) and extreme high temperature (99th percentile, 44.20°C) at lag 0-5 were 1.318 (95% CI: 1.159-1.499) and 1.338 (95% CI: 1.153-1.553), respectively. No significant cold effect was observed on EADs due to MBDs. Conclusion High Humidex was associated with more EADs due to MBDs in subtropical regions. Health authorities should implement effective measures to raise public awareness of risks related to high temperature and protect vulnerable populations.
Collapse
Affiliation(s)
- Ziming Yin
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Maidina Jingesi
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Zhao Yin
- Department of Pharmacy, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Siyi Chen
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Suli Huang
- Shenzhen Center for Disease Control and Prevention, Shenzhen, China
| | - Jinquan Cheng
- Shenzhen Center for Disease Control and Prevention, Shenzhen, China
| | - Xiaoheng Li
- Department of Environment and Health, Shenzhen Center for Disease Control and Prevention, Shenzhen, China
| | - Ning Liu
- Department of Environment and Health, Shenzhen Center for Disease Control and Prevention, Shenzhen, China
| | - Peng Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Ping Yin
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Hongwei Jiang
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| |
Collapse
|
5
|
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.
Collapse
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
| |
Collapse
|
6
|
Hu T, Xu ZY, Wang J, Su Y, Guo BB. Meteorological factors, ambient air pollution, and daily hospital admissions for depressive disorder in Harbin: A time-series study. World J Psychiatry 2023; 13:1061-1078. [PMID: 38186723 PMCID: PMC10768489 DOI: 10.5498/wjp.v13.i12.1061] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/21/2023] [Revised: 10/23/2023] [Accepted: 11/08/2023] [Indexed: 12/19/2023] Open
Abstract
BACKGROUND The literature has discussed the relationship between environmental factors and depressive disorders; however, the results are inconsistent in different studies and regions, as are the interaction effects between environmental factors. We hypothesized that meteorological factors and ambient air pollution individually affect and interact to affect depressive disorder morbidity. AIM To investigate the effects of meteorological factors and air pollution on depressive disorders, including their lagged effects and interactions. METHODS The samples were obtained from a class 3 hospital in Harbin, China. Daily hospital admission data for depressive disorders from January 1, 2015 to December 31, 2022 were obtained. Meteorological and air pollution data were also collected during the same period. Generalized additive models with quasi-Poisson regression were used for time-series modeling to measure the non-linear and delayed effects of environmental factors. We further incorporated each pair of environmental factors into a bivariate response surface model to examine the interaction effects on hospital admissions for depressive disorders. RESULTS Data for 2922 d were included in the study, with no missing values. The total number of depressive admissions was 83905. Medium to high correlations existed between environmental factors. Air temperature (AT) and wind speed (WS) significantly affected the number of admissions for depression. An extremely low temperature (-29.0 ℃) at lag 0 caused a 53% [relative risk (RR)= 1.53, 95% confidence interval (CI): 1.23-1.89] increase in daily hospital admissions relative to the median temperature. Extremely low WSs (0.4 m/s) at lag 7 increased the number of admissions by 58% (RR = 1.58, 95%CI: 1.07-2.31). In contrast, atmospheric pressure and relative humidity had smaller effects. Among the six air pollutants considered in the time-series model, nitrogen dioxide (NO2) was the only pollutant that showed significant effects over non-cumulative, cumulative, immediate, and lagged conditions. The cumulative effect of NO2 at lag 7 was 0.47% (RR = 1.0047, 95%CI: 1.0024-1.0071). Interaction effects were found between AT and the five air pollutants, atmospheric temperature and the four air pollutants, WS and sulfur dioxide. CONCLUSION Meteorological factors and the air pollutant NO2 affect daily hospital admissions for depressive disorders, and interactions exist between meteorological factors and ambient air pollution.
Collapse
Affiliation(s)
- Ting Hu
- Department of Five Therapy, The First Psychiatric Hospital of Harbin, Harbin 150026, Heilongjiang Province, China
| | - Zhao-Yuan Xu
- Medical Section, The First Psychiatric Hospital of Harbin, Harbin 150026, Heilongjiang Province, China
| | - Jian Wang
- Department of Out-Patient, The First Psychiatric Hospital of Harbin, Harbin 150026, Heilongjiang Province, China
| | - Yao Su
- Science and Education, The First Psychiatric Hospital of Harbin, Harbin 150026, Heilongjiang Province, China
| | - Bing-Bing Guo
- Department of 22 Therapy, Harbin Psychiatric Baiyupao Hospital, Harbin 150000, Heilongjiang Province, China
| |
Collapse
|
7
|
Wang FL, Wang WZ, Zhang FF, Peng SY, Wang HY, Chen R, Wang JW, Li PF, Wang Y, Zhao MH, Yang C, Zhang LX. Heat exposure and hospitalizations for chronic kidney disease in China: a nationwide time series study in 261 major Chinese cities. Mil Med Res 2023; 10:41. [PMID: 37670366 PMCID: PMC10478241 DOI: 10.1186/s40779-023-00478-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/15/2023] [Accepted: 08/29/2023] [Indexed: 09/07/2023] Open
Abstract
BACKGROUND Climate change profoundly shapes the population health at the global scale. However, there was still insufficient and inconsistent evidence for the association between heat exposure and chronic kidney disease (CKD). METHODS In the present study, we studied the association of heat exposure with hospitalizations for cause-specific CKD using a national inpatient database in China during the study period of hot season from 2015 to 2018. Standard time-series regression models and random-effects meta-analysis were developed to estimate the city-specific and national averaged associations at a 7 lag-day span, respectively. RESULTS A total of 768,129 hospitalizations for CKD was recorded during the study period. The results showed that higher temperature was associated with elevated risk of hospitalizations for CKD, especially in sub-tropical cities. With a 1 °C increase in daily mean temperature, the cumulative relative risks (RR) over lag 0-7 d were 1.008 [95% confidence interval (CI) 1.003-1.012] for nationwide. The attributable fraction of CKD hospitalizations due to high temperatures was 5.50%. Stronger associations were observed among younger patients and those with obstructive nephropathy. Our study also found that exposure to heatwaves was associated with added risk of hospitalizations for CKD compared to non-heatwave days (RR = 1.116, 95% CI 1.069-1.166) above the effect of daily mean temperature. CONCLUSIONS Short-term heat exposure may increase the risk of hospitalization for CKD. Our findings provide insights into the health effects of climate change and suggest the necessity of guided protection strategies against the adverse effects of high temperatures.
Collapse
Affiliation(s)
- Fu-Lin Wang
- Institute of Medical Technology, Peking University Health Science Center, Beijing, 100191, China
- National Institute of Health Data Science at Peking University, Beijing, 100191, China
| | - Wan-Zhou Wang
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing, 100191, China
| | - Fei-Fei Zhang
- National Institute of Health Data Science at Peking University, Beijing, 100191, China
| | - Su-Yuan Peng
- National Institute of Health Data Science at Peking University, Beijing, 100191, China
| | - Huai-Yu Wang
- National Institute of Health Data Science at Peking University, Beijing, 100191, China
| | - Rui Chen
- Renal Division, Department of Medicine, Peking University First Hospital, Peking University Institute of Nephrology, Beijing, 100034, China
- Research Units of Diagnosis and Treatment of Immune-Mediated Kidney Diseases, Chinese Academy of Medical Sciences, Beijing, 100034, China
| | - Jin-Wei Wang
- Renal Division, Department of Medicine, Peking University First Hospital, Peking University Institute of Nephrology, Beijing, 100034, China
- Research Units of Diagnosis and Treatment of Immune-Mediated Kidney Diseases, Chinese Academy of Medical Sciences, Beijing, 100034, China
| | - Peng-Fei Li
- Advanced Institute of Information Technology, Peking University, Hangzhou, 311215, China
| | - Yang Wang
- National Climate Center, China Meteorological Administration, Beijing, 100081, China
| | - Ming-Hui Zhao
- Renal Division, Department of Medicine, Peking University First Hospital, Peking University Institute of Nephrology, Beijing, 100034, China
- Research Units of Diagnosis and Treatment of Immune-Mediated Kidney Diseases, Chinese Academy of Medical Sciences, Beijing, 100034, China
- Peking-Tsinghua Center for Life Sciences, Beijing, 100034, China
| | - Chao Yang
- Renal Division, Department of Medicine, Peking University First Hospital, Peking University Institute of Nephrology, Beijing, 100034, China.
- Research Units of Diagnosis and Treatment of Immune-Mediated Kidney Diseases, Chinese Academy of Medical Sciences, Beijing, 100034, China.
- Advanced Institute of Information Technology, Peking University, Hangzhou, 311215, China.
| | - Lu-Xia Zhang
- National Institute of Health Data Science at Peking University, Beijing, 100191, China.
- Renal Division, Department of Medicine, Peking University First Hospital, Peking University Institute of Nephrology, Beijing, 100034, China.
- Advanced Institute of Information Technology, Peking University, Hangzhou, 311215, China.
| |
Collapse
|
8
|
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.
Collapse
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
| |
Collapse
|
9
|
Cheng Y, Yu Z, Xu C, Manoli G, Ren X, Zhang J, Liu Y, Yin R, Zhao B, Vejre H. Climatic and Economic Background Determine the Disparities in Urbanites' Expressed Happiness during the Summer Heat. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2023; 57:10951-10961. [PMID: 37458710 DOI: 10.1021/acs.est.3c01765] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/02/2023]
Abstract
Climate-change-induced extreme weather events increase heat-related mortality and health risks for urbanites, which may also affect urbanites' expressed happiness (EH) and well-being. However, the links among EH, climate, and socioeconomic factors remain unclear. Here we collected ∼6 million geotagged tweets from 44 Chinese prefecture-level cities based on Sina Weibo and performed a quadratic regression model to explore the relationships between summer heat and EH. A three-stage analysis was developed to examine spatiotemporal heterogeneity and identify factors contributing to disparities in urbanites' EH. Results show that all cities exhibited a similar hump-shaped relationship, with an overall optimal temperature (OT) of 22.8 °C. The estimated OT varied geographically, with 25.3, 23.8, and 20.0 °C from north to south. Moreover, a 1 standard deviation increase in heatwave intensity was associated with a 0.813 (95% CI: 0.177, 1.449) standard deviation decrease in EH. Notably, within the geographic scope of this study, it was observed that urbanites in northern China and economically underdeveloped cities faced significantly lower heat risks during the summer heat. This research provides insight for future studies and practical applications concerning extreme weather events, urbanites' mental health, and sustainable urban development goal.
Collapse
Affiliation(s)
- Yingyi Cheng
- Department of Environmental Science and Engineering, Fudan University, Shanghai 2005, People's Republic of China
- College of Landscape Architecture, Nanjing Forestry University, Nanjing 210037, People's Republic of China
| | - Zhaowu Yu
- Department of Environmental Science and Engineering, Fudan University, Shanghai 2005, People's Republic of China
| | - Chi Xu
- School of Life Sciences, Nanjing University, Nanjing 210023, People's Republic of China
| | - Gabriele Manoli
- Laboratory of Urban and Environmental Systems, School of Architecture, Civil & Environmental Engineering, École Polytechnique Fédérale de Lausanne, CH-1015 Lausanne, Switzerland
| | - Xiaopeng Ren
- Institute of Psychology, Chinese Academy of Sciences, Beijing 100101, People's Republic of China
| | - Jinguang Zhang
- College of Landscape Architecture, Nanjing Forestry University, Nanjing 210037, People's Republic of China
| | - Yawen Liu
- College of Landscape Architecture, Nanjing Forestry University, Nanjing 210037, People's Republic of China
| | - Rui Yin
- College of Landscape Architecture, Nanjing Forestry University, Nanjing 210037, People's Republic of China
| | - Bing Zhao
- College of Landscape Architecture, Nanjing Forestry University, Nanjing 210037, People's Republic of China
| | - Henrik Vejre
- Department of Geosciences and Natural Resource Management, Faculty of Science, University of Copenhagen, Copenhagen 1958, Denmark
| |
Collapse
|
10
|
Thompson R, Lawrance EL, Roberts LF, Grailey K, Ashrafian H, Maheswaran H, Toledano MB, Darzi A. Ambient temperature and mental health: a systematic review and meta-analysis. Lancet Planet Health 2023; 7:e580-e589. [PMID: 37437999 DOI: 10.1016/s2542-5196(23)00104-3] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2021] [Revised: 05/02/2023] [Accepted: 05/02/2023] [Indexed: 07/14/2023]
Abstract
BACKGROUND Increasing evidence indicates that ambient outdoor temperature could affect mental health, which is especially concerning in the context of climate change. We aimed to comprehensively analyse the current evidence regarding the associations between ambient temperature and mental health outcomes. METHODS We did a systematic review and meta-analysis of the evidence regarding associations between ambient outdoor temperature and changes in mental health outcomes. We searched WebOfScience, Embase, PsychINFO, and PubMed for articles published from database origin up to April 7, 2022. Eligible articles were epidemiological, observational studies in humans of all ages, which evaluated real-world responses to ambient outdoor temperature, and had mental health as a documented outcome; studies of manipulated or controlled temperature or those with only physical health outcomes were excluded. All eligible studies were synthesised qualitatively. If three or more studies reported the same or equivalent effect statistics and if they had equivalent exposure, outcome, and metrics, the studies were pooled in a random-effects meta-analysis. The risk of bias for individual studies was assessed using the Newcastle-Ottawa Scale. The quality of evidence across studies was assessed using the Office of Health Assessment and Translation (OHAT) approach. FINDINGS 114 studies were included in the systematic review, of which 19 were suitable for meta-analysis. Three meta-analyses were conducted for suicide outcomes: a 1°C increase in mean monthly temperature was associated with an increase in incidence of 1·5% (95% CI 0·8-2·2, p<0·001; n=1 563 109, seven effects pooled from three studies); a 1°C increase in mean daily temperature was associated with an increase in incidence of 1·7% (0·3-3·0, p=0·014; n=113 523, five effects pooled from five studies); and a 1°C increase in mean monthly temperature was associated with a risk ratio of 1·01 (95% CI 1·00-1·01, p<0·001; n=111 794, six effects pooled from three studies). Three meta-analyses were conducted for hospital attendance or admission for mental illness: heatwaves versus non-heatwave periods were associated with an increase in incidence of 9·7% (95% CI 7·6-11·9, p<0·001; n=362 086, three studies); the risk ratio at the 99th percentile of daily mean temperature compared with the 50th percentile was 1·02 (95% CI 1·01-1·03, p=0·006; n=532 296, three studies); and no significant association was found between a 10°C increase in daily mean temperature and hospital attendance. In a qualitative narrative synthesis, we found that ambient outdoor temperature (including absolute temperatures, temperature variability, and heatwaves) was positively associated with attempted and completed suicides (86 studies), hospital attendance or admission for mental illness (43 studies), and worse outcomes for community mental health and wellbeing (19 studies), but much of the evidence was of low certainty with high heterogeneity. INTERPRETATION Increased temperature and temperature variability could be associated with increased cases of suicide and suicidal behaviour, hospital attendance or admission for mental illness, and poor community health and wellbeing. Climate change is likely to increase temperature anomalies, variability, and heatwaves as well as average temperatures; as such, health system leaders and policy makers must be adequately prepared and should develop adaptation strategies. More high-quality, standardised research is required to improve our understanding of these effects. FUNDING None.
Collapse
Affiliation(s)
| | - Emma L Lawrance
- Institute of Global Health Innovation, Imperial College London, London, UK; Mental Health Innovations, London, UK.
| | - Lily F Roberts
- Institute of Global Health Innovation, Imperial College London, London, UK
| | - Kate Grailey
- Institute of Global Health Innovation, Imperial College London, London, UK
| | - Hutan Ashrafian
- Institute of Global Health Innovation, Imperial College London, London, UK
| | | | - Mireille B Toledano
- School of Public Health, Imperial College London, London, UK; Mohn Centre for Children's Health and Wellbeing, School of Public Health, Imperial College London, London, UK
| | - Ara Darzi
- Institute of Global Health Innovation, Imperial College London, London, UK
| |
Collapse
|
11
|
Wu Y, Yuan J, Yuan Y, Kong C, Jing W, Liu J, Ye H, Liu M. Effects of ambient temperature and relative humidity on preterm birth during early pregnancy and before parturition in China from 2010 to 2018: a population-based large-sample cohort study. Front Public Health 2023; 11:1101283. [PMID: 37408740 PMCID: PMC10319007 DOI: 10.3389/fpubh.2023.1101283] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2022] [Accepted: 05/26/2023] [Indexed: 07/07/2023] Open
Abstract
Background The progression of global warming and increase in instances of extreme weather have received considerable attention. We conducted a cohort study on women of childbearing age in Yunnan Province, examined the association between ambient temperature and humidity on preterm birth and evaluated the effects of extreme weather during early pregnancy and before parturition on preterm birth. Methods We conducted a population-based cohort study on women of childbearing age 18-49 years who participated in National Free Preconception Health Examination Project (NFPHEP) in Yunnan Province from January 1, 2010, to December 31, 2018. Meteorological data, namely daily average temperature (°C) and daily average relative humidity (%), were obtained from China National Meteorological Information Center. Four exposure windows were explored: 1 week of pregnancy, 4 weeks of pregnancy, 4 weeks before delivery, and 1 week before delivery. We used a Cox proportional hazards model and adjusted the potential risk factors for preterm birth to obtain the effects of exposure to temperature and humidity on preterm birth among the stages of pregnancy. Results At 1 week of pregnancy and at 4 weeks of pregnancy, the association between temperature and preterm birth was U-shaped. The correlation between relative humidity and the risk of preterm birth was n-type at 1 week of pregnancy. The correlation between preterm birth and temperature and relative humidity at 4 weeks before delivery and at 1 week before delivery is J-shaped. Low temperature and low humidity were protective factors against preterm birth, whereas high temperature and high humidity were risk factors for preterm birth.The effects of high temperature and extremely high temperature were the strongest at 4 weeks before delivery, with HRs of 1.417 (95% CI: 1.362-1.474) and 1.627 (95% CI: 1.537-1.722), respectively. The effects of extremely low humidity and low humidity were strongest at 1 week before delivery, with HRs of 0.681 (95% CI: 0.609-0.761) and 0.696 (95% CI: 0.627-0.771), respectively. Conclusion Temperature and relative humidity affect preterm birth differently for each pregnancy stage. The effects of meteorological factors on pregnancy outcomes such as premature birth should not be ignored.
Collapse
Affiliation(s)
- Yu Wu
- Department of Epidemiology and Biostatics, School of Public Health, Peking University, Beijing, China
| | - Jie Yuan
- Department of Epidemiology and Biostatics, School of Public Health, Peking University, Beijing, China
| | - Yanling Yuan
- Yunnan Population and Family Planning Research Institute, Yunnan, China
| | - Cai Kong
- Yunnan Population and Family Planning Research Institute, Yunnan, China
| | - Wenzhan Jing
- Department of Epidemiology and Biostatics, School of Public Health, Peking University, Beijing, China
| | - Jue Liu
- Department of Epidemiology and Biostatics, School of Public Health, Peking University, Beijing, China
| | - Hanfeng Ye
- Yunnan Population and Family Planning Research Institute, Yunnan, China
| | - Min Liu
- Department of Epidemiology and Biostatics, School of Public Health, Peking University, Beijing, China
| |
Collapse
|
12
|
Hoxha M, Zappacosta B. Meteoropathy: a review on the current state of knowledge. J Med Life 2023; 16:837-841. [PMID: 37675157 PMCID: PMC10478667 DOI: 10.25122/jml-2023-0097] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2023] [Accepted: 04/17/2023] [Indexed: 09/08/2023] Open
Abstract
Meteoropathy is no longer considered a popular myth, but a new disease that significantly impacts daily life, particularly in individuals who experience mental illness, cardiovascular disorders, and respiratory conditions. However, there are very limited data on this condition. This study aimed to comprehensively review and analyze existing in vivo animal studies and human clinical trials investigating the effects of meteoropathy on health and its pharmacological treatment. A thorough literature search was conducted across databases such as PubMed and Scopus to gather relevant information. Our analysis primarily focused on the relationship between meteoropathy and mental health, including the influence on affective temperaments. Additionally, we explored various treatment approaches, emphasizing the combination of muscle exercises, pharmacological interventions, and naturopathy, which have shown promise in alleviating pain among individuals affected by meteoropathy. Future research in meteoropathy should shed light on synthesizing new pharmacological compounds.
Collapse
Affiliation(s)
- Malvina Hoxha
- Department for Chemical - Toxicological and Pharmacological Evaluation of Drugs, Catholic University Our Lady of Good Counsel, Tirana, Albania
| | - Bruno Zappacosta
- Department for Chemical - Toxicological and Pharmacological Evaluation of Drugs, Catholic University Our Lady of Good Counsel, Tirana, Albania
| |
Collapse
|
13
|
Niu L, Girma B, Liu B, Schinasi LH, Clougherty JE, Sheffield P. Temperature and mental health-related emergency department and hospital encounters among children, adolescents and young adults. Epidemiol Psychiatr Sci 2023; 32:e22. [PMID: 37066768 PMCID: PMC10130844 DOI: 10.1017/s2045796023000161] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/06/2022] [Revised: 02/08/2023] [Accepted: 03/23/2023] [Indexed: 04/18/2023] Open
Abstract
AIMS We examine the association between high ambient temperature and acute mental health-related healthcare encounters in New York City for children, adolescents and young adults. METHODS This case-crossover study included emergency department (ED) visits and hospital encounters with a primary diagnosis of any mental health disorder during warm-season months (June-August) in New York City from 2005 to 2011 from patients of three age groups (6-11, 12-17 and 18-25 years). Using a distributed lag non-linear model over 0-5 lag days, by fitting a conditional logistic regression for each age group, we calculated the cumulative odds ratios of mental health encounters associated with an elevated temperature. Analyses were stratified by race/ethnicity, payment source and mental health categories to elucidate vulnerable subpopulations. RESULTS In New York City, there were 82,982 mental health-related encounters for young people aged 6 to 25 years during our study period months. Elevated temperature days were associated with higher risk of mental health-related ED and hospital encounters for the 6- to 11-year-olds (odds ratio [OR]: 1.28, 95% confidence interval [CI]: 1.13-1.46), for the 12- to 17-year-olds (OR: 1.17, 95% CI: 1.09-1.25) and for the 18- to 25-year-olds (OR: 1.09, 95% CI: 1.04-1.15). Children with reaction disorders, adolescents with anxiety and bipolar disorders, young adults with psychosis and reaction disorders and Black and non-Hispanic children and adolescents showed vulnerability to elevated temperature. CONCLUSIONS We found that elevated ambient temperatures were associated with acute mental health ED or hospital encounters across childhood, adolescence and young adulthood.
Collapse
Affiliation(s)
- Li Niu
- Faculty of Psychology, Beijing Normal University, Beijing, China
| | - Blean Girma
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Bian Liu
- Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Leah H. Schinasi
- Department of Environmental and Occupational Health and Urban Health Collaborative, Dornsife School of Public Health, Drexel University, Philadelphia, PA, USA
| | - Jane E. Clougherty
- Department of Environmental and Occupational Health and Urban Health Collaborative, Dornsife School of Public Health, Drexel University, Philadelphia, PA, USA
| | - Perry Sheffield
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| |
Collapse
|
14
|
Minor T, Sugg M, Runkle JD. Short-term exposure to temperature and mental health in North Carolina: a distributed lag nonlinear analysis. INTERNATIONAL JOURNAL OF BIOMETEOROLOGY 2023; 67:573-586. [PMID: 36779999 DOI: 10.1007/s00484-023-02436-0] [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: 04/27/2022] [Accepted: 01/24/2023] [Indexed: 06/18/2023]
Abstract
Adverse mental health outcomes have been associated with high temperatures in studies worldwide. Few studies explore a broad range of mental health outcomes, and to our knowledge, none are specific to NC, USA. This ecological study explored the relationship between ambient temperature and mental health outcomes (suicide, self-harm and suicide ideation, anxiety and stress, mood disorders, and depression) in six urban counties across the state of NC, USA. We applied a quasi-Poisson generalized linear model combined with a distributed lag nonlinear model (DLNM) to examine the short-term effects of daily ambient temperature on emergency admissions for mental health conditions (2016 to 2018) and violent deaths (2004 to 2018). The results were predominately insignificant, with some key exceptions. The county with the greatest temperature range (Wake) displays higher levels of significance, while counties with the lowest temperature ranges (New Hanover and Pitt) are almost entirely insignificant. Self-harm and suicidal ideation peak in the warm months (July) and generally exhibit a protective effect at lower temperatures and shorter lag intervals. Whereas anxiety, depression, and major depressive disorders peak in the cooler months (May and September). Suicide is the only outcome that favored a 20-day lag period in the sensitivity analysis, although the association with temperature was insignificant. Our findings suggest additional research is needed across a suite of mental health outcomes to fully understand the effects of temperatures on mental health.
Collapse
Affiliation(s)
- Tyler Minor
- Department of Geography and Planning, Appalachian State University, Boone, NC, USA
| | - Margaret Sugg
- Department of Geography and Planning, Appalachian State University, Boone, NC, USA.
| | - Jennifer D Runkle
- North Carolina Institute for Climate Studies, North Carolina State University, Asheville, NC, USA
| |
Collapse
|
15
|
Taleb OK, Sarimah A, Siti-Azrin AH, Baharuddin KA, Abusafia AH. Structural Relationships between Environmental Factors, Psychological Health, and Academic Performance in Medical Students Engaged in Online Learning during the COVID-19 Pandemic. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2023; 20:1494. [PMID: 36674263 PMCID: PMC9859394 DOI: 10.3390/ijerph20021494] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/16/2022] [Revised: 01/08/2023] [Accepted: 01/09/2023] [Indexed: 06/17/2023]
Abstract
As a result of the COVID-19 outbreak and the enforced quarantine, universities in Malaysia were required to switch to an online class format. The resulting changes in the environmental factors of students may have had an impact on their psychological health and academic performance. This study aimed to determine the effects of environmental factors and the psychological health of students and examine their structural relationship with academic performance. A cross-sectional design with an online self-reported questionnaire was adopted, and the study was conducted among 207 undergraduate medical students at the Health Campus of Universiti Sains Malaysia. The environmental factors were measured using the lighting-noise-temperature scale and technology scale, while psychological health was assessed using the short version of the General Health Questionnaire and academic performance was determined based on Grade Point Average. Descriptive statistics and structural equation modeling were used for analysis of the data. No significant relationship was found between environmental factors and academic performance, or between environmental factors and psychological health. Nonetheless, the hypothesized structural model provided scientific evidence of an inverse relationship between psychological health and academic performance. These findings could be helpful for academics, health policymakers, and health educators in terms of understanding and promoting psychological wellbeing among university students, as well as improving their academic performance.
Collapse
Affiliation(s)
- Ola K. Taleb
- Biostatistics and Research Methodology Unit, School of Medical Sciences, Universiti Sains Malaysia, Kubang Kerian 16150, Kelantan, Malaysia
| | - Abdullah Sarimah
- Biostatistics and Research Methodology Unit, School of Medical Sciences, Universiti Sains Malaysia, Kubang Kerian 16150, Kelantan, Malaysia
| | - Ab Hamid Siti-Azrin
- Biostatistics and Research Methodology Unit, School of Medical Sciences, Universiti Sains Malaysia, Kubang Kerian 16150, Kelantan, Malaysia
| | - Kamarul Aryffin Baharuddin
- Department of Emergency Medicine, School of Medical Sciences, Universiti Sains Malaysia, Kubang Kerian 16150, Kelantan, Malaysia
- Hospital Universiti Sains Malaysia, Kubang Kerian 16150, Kelantan, Malaysia
| | - Ali H. Abusafia
- School of Health Sciences, Universiti Sains Malaysia, Kubang Kerian 16150, Kelantan, Malaysia
| |
Collapse
|
16
|
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.
Collapse
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
| |
Collapse
|
17
|
da Silva I, Wikuats CFH, Hashimoto EM, Martins LD. Effects of Environmental and Socioeconomic Inequalities on Health Outcomes: A Multi-Region Time-Series Study. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:16521. [PMID: 36554402 PMCID: PMC9778807 DOI: 10.3390/ijerph192416521] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/31/2022] [Revised: 12/02/2022] [Accepted: 12/05/2022] [Indexed: 06/17/2023]
Abstract
The gradual increase in temperatures and changes in relative humidity, added to the aging and socioeconomic conditions of the population, may represent problems for public health, given that future projections predict even more noticeable changes in the climate and the age pyramid, which require analyses at an appropriate spatial scale. To our knowledge, an analysis of the synergic effects of several climatic and socioeconomic conditions on hospital admissions and deaths by cardiorespiratory and mental disorders has not yet been performed in Brazil. Statistical analyses were performed using public time series (1996-2015) of daily health and meteorological data from 16 metropolitan regions (in a subtropical climate zone in South America). Health data were stratified into six groups according to gender and age ranges (40-59; 60-79; and ≥80 years old) for each region. For the regression analysis, two distributions (Poisson and binomial negative) were tested with and without zero adjustments for the complete series and percentiles. Finally, the relative risks were calculated, and the effects based on exposure-response curves were evaluated and compared among regions. The negative binomial distribution fit the data best. High temperatures and low relative humidity were the most relevant risk factors for hospitalizations for cardiovascular diseases (lag = 0), while minimum temperatures were important for respiratory diseases (lag = 2 or 3 days). Temperature extremes, both high and low, were the most important risk factors for mental illnesses at lag 0. Groups with people over 60 years old presented higher risks for cardiovascular and respiratory diseases, while this was observed for the adult group (40-59 years old) in relation to mental disorders. In general, no major differences were found in the results between men and women. However, regions with higher urbanization levels presented risks, mainly for respiratory diseases, while the same was observed for cardiovascular diseases for regions with lower levels of urbanization. The Municipal Human Development Index is an important factor for the occurrence of diseases and deaths for all regions, depending on the evaluated group, representing high risks for health outcomes (the value for hospitalization for cardiovascular diseases was 1.6713 for the female adult group in the metropolitan region Palmas, and the value for hospitalization for respiratory diseases was 1.7274 for the female adult group in the metropolitan region Campo Mourão). In general, less developed regions have less access to adequate health care and better living conditions.
Collapse
Affiliation(s)
- Iara da Silva
- Graduate Program in Environmental Engineering, Campus Londrina, Federal University of Technology—Paraná, Av. Dos Pioneiros, 3131, Londrina 86036-370, Paraná, Brazil
- Department of Atmospheric Sciences, Institute of Astronomy, Geophysics and Atmospheric Sciences, University of São Paulo, Rua do Matão, 1226, São Paulo 05508-090, São Paulo, Brazil
| | - Caroline Fernanda Hei Wikuats
- Graduate Program in Environmental Engineering, Campus Londrina, Federal University of Technology—Paraná, Av. Dos Pioneiros, 3131, Londrina 86036-370, Paraná, Brazil
- Department of Atmospheric Sciences, Institute of Astronomy, Geophysics and Atmospheric Sciences, University of São Paulo, Rua do Matão, 1226, São Paulo 05508-090, São Paulo, Brazil
| | - Elizabeth Mie Hashimoto
- Graduate Program in Environmental Engineering, Campus Londrina, Federal University of Technology—Paraná, Av. Dos Pioneiros, 3131, Londrina 86036-370, Paraná, Brazil
| | - Leila Droprinchinski Martins
- Graduate Program in Environmental Engineering, Campus Londrina, Federal University of Technology—Paraná, Av. Dos Pioneiros, 3131, Londrina 86036-370, Paraná, Brazil
| |
Collapse
|
18
|
Aydin-Ghormoz H, Adeyeye T, Muscatiello N, Nayak S, Savadatti S, Insaf TZ. Identifying Risk Factors for Hospitalization with Behavioral Health Disorders and Concurrent Temperature-Related Illness in New York State. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:16411. [PMID: 36554292 PMCID: PMC9779268 DOI: 10.3390/ijerph192416411] [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: 11/02/2022] [Revised: 12/01/2022] [Accepted: 12/01/2022] [Indexed: 06/17/2023]
Abstract
Extreme temperature events are linked to increased emergency department visits, hospitalizations, and mortality for individuals with behavioral health disorders (BHD). This study aims to characterize risk factors for concurrent temperature-related illness among BHD hospitalizations in New York State. Using data from the NYS Statewide and Planning Research and Cooperative System between 2005-2019, multivariate log binomial regression models were used in a population of BHD hospitalizations to estimate risk ratios (RR) for a concurrent heat-related (HRI) or cold-related illness (CRI). Dementia (RR 1.65; 95% CI:1.49, 1.83) and schizophrenia (RR 1.38; 95% CI:1.19, 1.60) were associated with an increased risk for HRI among BHD hospitalizations, while alcohol dependence (RR 2.10; 95% CI:1.99, 2.22), dementia (RR 1.52; 95% CI:1.44, 1.60), schizophrenia (RR 1.41; 95% CI:1.31, 1.52), and non-dependent drug/alcohol use (RR 1.20; 95% CI:1.15, 1.26) were associated with an increased risk of CRI among BHD hospitalizations. Risk factors for concurrent HRI among BHD hospitalizations include increasing age, male gender, non-Hispanic Black race, and medium hospital size. Risk factors for concurrent CRI among BHD hospitalizations include increasing age, male gender, non-Hispanic Black race, insurance payor, the presence of respiratory disease, and rural hospital location. This study adds to the literature by identifying dementia, schizophrenia, substance-use disorders, including alcohol dependence and non-dependent substance-use, and other sociodemographic factors as risk factors for a concurrent CRI in BHD hospitalizations.
Collapse
Affiliation(s)
- Heather Aydin-Ghormoz
- Center for Environmental Health, New York State Department of Health, Albany, NY 12208, USA
- School of Public Health, University at Albany, Rensselaer, NY 12144, USA
| | - Temilayo Adeyeye
- Center for Environmental Health, New York State Department of Health, Albany, NY 12208, USA
- School of Public Health, University at Albany, Rensselaer, NY 12144, USA
| | - Neil Muscatiello
- Center for Environmental Health, New York State Department of Health, Albany, NY 12208, USA
| | - Seema Nayak
- Center for Environmental Health, New York State Department of Health, Albany, NY 12208, USA
| | - Sanghamitra Savadatti
- Center for Environmental Health, New York State Department of Health, Albany, NY 12208, USA
- School of Public Health, University at Albany, Rensselaer, NY 12144, USA
| | - Tabassum Z. Insaf
- Center for Environmental Health, New York State Department of Health, Albany, NY 12208, USA
- School of Public Health, University at Albany, Rensselaer, NY 12144, USA
| |
Collapse
|
19
|
Yuan W, He BJ, Yang L, Liu X, Yan L. Heat-induced health impacts and the drivers: implications on accurate heat-health plans and guidelines. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2022; 29:88193-88212. [PMID: 35829877 DOI: 10.1007/s11356-022-21839-x] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/21/2022] [Accepted: 06/30/2022] [Indexed: 06/15/2023]
Abstract
Urban heat challenges are increasingly severe, along with climate change and urbanisation. Despite significant environmental, economic, and social consequences, limited actions have been conducted to address urban heat challenges. To support the formulation of heat-health plans and guidelines at the city and community scale, this study presented results, through a questionnaire survey among 584 respondents in Shanghai, China, on heat-induced physiological and psychological impacts and analysed the variability of them with demographic characteristics. The results indicate that psychological impacts were more severe than physiological impacts in severity and susceptible people. Skin heat damage and digestive system diseases were ignored in previous studies, compared with fatal cardiovascular and respiratory diseases. Emotional irritability and difficulty in controlling temper were the two most prominent psychological symptoms. The elderly and health-vulnerable groups were more susceptible to heat-induced physiological and psychological impacts than other groups. Among different demographic groups, the most critical physiological and psychological symptoms could vary significantly. Afterwards, suggestions for heat-health plans or guidelines have been proposed. Overall, this study provides a reference for the understanding of heat-induced impacts and enhancing the capacity to cope with urban heat challenges.
Collapse
Affiliation(s)
- Wei Yuan
- School of Civil Engineering and Architecture, Henan University of Technology, Zhengzhou, 450001, China
| | - Bao-Jie He
- Smart City Research Institute of Chongqing University in Liyang, Chongqing University, Liyang, 213300, Jiangsu, China
- Centre for Climate-Resilient and Low-Carbon Cities, School of Architecture and Urban Planning, Key Laboratory of New Technology for Construction of Cities in Mountain Area, Ministry of Education, Chongqing University, Chongqing, 400045, China
- State Key Laboratory of Subtropical Building Science, South China University of Technology, Guangzhou, 510641, China
- Faculty of Built Environment, University of New South Wales, Sydney, 2052, Australia
| | - Linchuan Yang
- Department of Urban and Rural Planning, Southwest Jiaotong University, Chengdu, China
| | - Xiao Liu
- State Key Laboratory of Subtropical Building Science, South China University of Technology, Guangzhou, 510641, China
- Architectural Design & Research Institute Co., Ltd, South China University of Technology, Guangzhou, 510641, China
- Department of Urban Planning and Design, Faculty of Architecture, The University of Hong Kong, Hong Kong, 999077, China
| | - Li Yan
- School of Civil Engineering and Architecture, Southwest University of Science and Technology, Mianyang, 621010, China.
| |
Collapse
|
20
|
Li B, Huang W, Chen P, Chen J, Biviano I, Wang Z. Effect of ambient temperature on daily hospital admissions for acute pancreatitis in Nanchang, China: A time-series analysis. INTERNATIONAL JOURNAL OF ENVIRONMENTAL HEALTH RESEARCH 2022; 32:2260-2270. [PMID: 34260330 DOI: 10.1080/09603123.2021.1952166] [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: 04/01/2021] [Accepted: 06/28/2021] [Indexed: 06/13/2023]
Abstract
The aim of this study was to evaluate the short-term effect of temperature on the risk of acute pancreatitis (AP) in southern China. We performed a time-series study of 2822 patients admitted with a first episode of AP in Nanchang between May 2014 and June 2017. A generalized additive model combined with a distributed lag non-linear model was applied to assess the association of temperature and AP. In subgroup analysis, according to different etiologies of pancreatitis, significant associations were found between daily average temperature and non-biliary pancreatitis hospitalization at lags of 0-7 days, but not for biliary pancreatitis or total AP. Higher daily average temperature tended to increase the occurrence of non-biliary pancreatitis at lags of 0-7 days. These findings suggest that high temperature is associated with higher non-biliary pancreatitis risk in Nanchang, China. In the context of global warming, the morbidity of non-biliary pancreatitis may increase.
Collapse
Affiliation(s)
- Bozhen Li
- Jiangxi Ecological Meteorology Center, Jiangxi Meteorological Bureau, Nanchang, China
| | - Wenzhong Huang
- Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Pengguo Chen
- Department of Gastroenterology and Hepatology, Jiangxi Provincial People's Hospital, Nanchang University, Nanchang, China
| | - Jianyong Chen
- Department of Gastroenterology and Hepatology, Jiangxi Provincial People's Hospital, Nanchang University, Nanchang, China
| | - Ivano Biviano
- Gastroenterology and Operative Endoscopy Unit, Siena University Hospital, Siena, Italy
| | - Zhaohan Wang
- Department of Gastroenterology and Hepatology, Jiangxi Provincial People's Hospital, Nanchang University, Nanchang, China
| |
Collapse
|
21
|
Zare Sakhvidi MJ, Yang J, Mohammadi D, FallahZadeh H, Mehrparvar A, Stevenson M, Basagaña X, Gasparrini A, Dadvand P. Extreme environmental temperatures and motorcycle crashes: a time-series analysis. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2022; 29:76251-76262. [PMID: 35668256 PMCID: PMC9553821 DOI: 10.1007/s11356-022-21151-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/19/2021] [Accepted: 05/24/2022] [Indexed: 06/12/2023]
Abstract
Extreme temperature could affect traffic crashes by influencing road safety, vehicle performance, and drivers' behavior and abilities. Studies evaluating the impacts of extreme temperatures on the risk of traffic crashes have mainly overlooked the potential role of vehicle air conditioners. The aim of this study, therefore, was to evaluate the effect of exposure to extreme cold and hot temperatures on seeking medical attention due to motorcycle crashes. The study was conducted in Iran by using medical attendance for motorcycle crashes from March 2011 to June 2017. Data on daily minimum, mean and maximum temperature (°C), relative humidity (%), wind velocity (km/h), and precipitation (mm/day) were collected. We developed semi-parametric generalized additive models following a quasi-Poisson distribution with the distributed nonlinear lag model to estimate the immediate and lagged associations (reported as relative risk [RR], and 95% confidence interval [CI]). Between March 2011 and June 2017, 36,079 medical attendances due to motorcycle road traffic crashes were recorded (15.8 ± 5.92 victims per day). In this time period, the recorded temperature ranged from -11.2 to 45.4 °C (average: 25.5 ± 11.0 °C). We found an increased risk of medical attendance for motorcycle crashes (based on maximum daily temperature) at both extremely cold (1st percentile) and hot (99th percentile) temperatures and also hot (75th percentile) temperatures, mainly during lags 0 to 3 days (e.g., RR: 1.12 [95% CI: 1.05: 1.20]; RR: 1.08 [95% CI: 1.01: 1.16]; RR: 1.20 [95% CI: 1.09: 1.32] at lag0 for extremely cold, hot, and extremely hot conditions, respectively). The risk estimates for extremely hot temperatures were larger than hot and extremely cold temperatures. We estimated that 11.01% (95% CI: 7.77:14.06) of the medical attendance for motorcycle crashes is estimated to be attributable to non-optimal temperature (using mean temperature as exposure variable). Our findings have important public health messaging, given the considerable burden associated with road traffic injury, particularly in low- and middle-income countries.
Collapse
Affiliation(s)
- Mohammad Javad Zare Sakhvidi
- Department of Occupational Health, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran
| | - Jun Yang
- School of Public Health, Guangzhou Medical University, Guangzhou, 511436, China
| | - Danial Mohammadi
- Department of Occupational Health, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran
| | - Hussein FallahZadeh
- Department of Epidemiology and Biostatistics, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran
| | - Amirhooshang Mehrparvar
- Department of Occupational Medicine, Faculty of Medicine, Shahid Sadoughi University of Medical Sciences, Yazd, Iran
| | - Mark Stevenson
- Melbourne School of Design/Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia
| | - Xavier Basagaña
- ISGlobal, Doctor Aiguader 88, 08003, Barcelona, Catalonia, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Melchor Fernández Almagro, 3-5, 28029, Madrid, Spain
| | - Antonio Gasparrini
- Department of Public Health, Environments and Society, London School Hygiene & Tropical Medicine, London, UK
- Centre for Statistical Methodology, London School Hygiene & Tropical Medicine, London, UK
- Centre on Climate Change and Planetary Health, London School of Hygiene & Tropical Medicine, London, UK
| | - Payam Dadvand
- ISGlobal, Doctor Aiguader 88, 08003, Barcelona, Catalonia, Spain.
- Universitat Pompeu Fabra (UPF), Barcelona, Spain.
- CIBER Epidemiología y Salud Pública (CIBERESP), Melchor Fernández Almagro, 3-5, 28029, Madrid, Spain.
| |
Collapse
|
22
|
Roy A, Alam MA, Kim Y, Hashizume M. Association between daily ambient temperature and drug overdose in Tokyo: a time-series study. Environ Health Prev Med 2022; 27:36. [PMID: 36171116 PMCID: PMC9556974 DOI: 10.1265/ehpm.21-00044] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022] Open
Abstract
Background Previous studies have reported that high ambient temperature is associated with increased risk of suicide; however, the association has not been extensively investigated with drug overdose which is the most common method of unsuccessful suicidal behavior in Japan. Therefore, this study aims to examine the short-term association between daily mean temperature and the incidence of self-harm attempts by drug overdose in Tokyo, Japan. Methods We collected the emergency ambulance dispatch data and daily meteorological data in Tokyo from 2010 to 2014. A quasi-Poisson regression model incorporating a distributed lag non-linear function was applied to estimate the non-linear and delayed association between temperature and drug overdose, adjusting for relative humidity, seasonal and long-term trends, and days of the week. Sex, age and location-specific associations of ambient temperature with drug overdose was also estimated. Results 12,937 drug overdose cases were recorded during the study period, 73.9% of which were female. We observed a non-linear association between temperature and drug overdose, with the highest risk observed at 21 °C. The highest relative risk (RR) was 1.30 (95% Confidence Interval (CI): 1.10–1.67) compared with the risk at the first percentile of daily mean temperature (2.9 °C) over 0–4 days lag period. In subgroup analyses, the RR of a drug overdose at 21 °C was 1.36 (95% CI: 1.02–1.81) for females and 1.07 (95% CI: 0.66–1.75) for males. Also, we observed that the risk was highest among those aged ≥65 years (RR = 2.54; 95% CI: 0.94–6.90), followed by those aged 15–34 years (RR = 1.25; 95% CI: 0.89–1.77) and those aged 35–64 years (RR = 1.15; 95% CI: 0.78–1.68). There was no evidence for the difference in RRs between urban (23 special wards) and sub-urban areas in Tokyo. Conclusions An increase in daily mean temperature was associated with increased drug overdose risk. This study indicated the positive non-linear association between temperature and incomplete attempts by drug overdose. The findings of this study may add further evidence of the association of temperature on suicidal behavior and suggests increasing more research and investigation of other modifying factors. Supplementary information The online version contains supplementary material available at https://doi.org/10.1265/ehpm.21-00044.
Collapse
Affiliation(s)
- Ananya Roy
- Department of Global Health Policy, Graduate School of Medicine, The University of Tokyo
| | - Md Ashraful Alam
- Department of Global Health Policy, Graduate School of Medicine, The University of Tokyo
| | - Yoonhee Kim
- Department of Global Environmental Health, Graduate School of Medicine, The University of Tokyo
| | - Masahiro Hashizume
- Department of Global Health Policy, Graduate School of Medicine, The University of Tokyo
| |
Collapse
|
23
|
Wang F, Wang W, Peng S, Wang HY, Chen R, Wang J, Yang C, Li P, Wang Y, Zhang L. Effects of ambient temperature on hospital admissions for obstructive nephropathy in Wuhan, China: A time-series analysis. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2022; 242:113876. [PMID: 35841652 DOI: 10.1016/j.ecoenv.2022.113876] [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: 03/23/2022] [Revised: 07/08/2022] [Accepted: 07/09/2022] [Indexed: 06/15/2023]
Abstract
Under the background of global warming, it has been confirmed that heat exposure has a huge impact on human health. The current study aimed to evaluate the effects of daily mean ambient temperature on hospital admissions for obstructive nephropathy (ON) at the population level. A total of 19,494 hospitalization cases for ON in Wuhan, China from January 1, 2015 to December 31, 2018 were extracted from a nationwide inpatient database in tertiary hospitals according to the International Classification of Diseases (ICD)- 10 codes. Daily ambient meteorological and pollution data during the same period were also collected. A quasi-Poisson Generalized Linear Model (GLM) combined with a distributed lag non-linear model (DLNM) was applied to analyze the lag-exposure-response relationship between daily mean temperature and daily hospital admissions for ON. Results showed that there were significantly positive associations between the daily mean temperature and ON hospital admissions. Relative to the minimum-risk temperature (-3.4 ℃), the risk of hospital admissions for ON at moderate hot temperature (25 ℃, 75th percentile) occurred from lag day 4 and stayed to lag day 12 (cumulative relative risk [RR] was 1.846, 95 % confidence interval [CI]: 1.135-3.005, over lag 0-12 days). Moreover, the risk of extreme hot temperature (32 ℃, 99th percentile) appeared immediately and lasted for 8 days (RR = 2.019, 95 % CI: 1.308-3.118, over lag 0-8 days). Subgroup analyses indicated that the middle-aged and elderly (≥45 years) patients might be more susceptible to the negative effects of high temperature, especially at moderate hot conditions. Our findings suggest that temperature may have a significant impact on the acute progression and onset of ON. Higher temperature is associated with increased risks of hospital admissions for ON, which indicates that early interventions should be taken in geographical settings with relatively high temperatures, particularly for the middle-aged and elderly.
Collapse
Affiliation(s)
- Fulin Wang
- Peking University First Hospital, Beijing, China; Institute of Medical Technology, Peking University Health Science Center, Beijing, China
| | - Wanzhou Wang
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing, China
| | - Suyuan Peng
- National Institute of Health Data Science at Peking University, Beijing, China
| | - Huai-Yu Wang
- National Institute of Health Data Science at Peking University, Beijing, China
| | - Rui Chen
- Renal Division, Department of Medicine, Peking University First Hospital, Peking University Institute of Nephrology, Beijing, China; Research Units of Diagnosis and Treatment of Immune-mediated Kidney Diseases, Chinese Academy of Medical Sciences, Beijing, China
| | - Jinwei Wang
- Renal Division, Department of Medicine, Peking University First Hospital, Peking University Institute of Nephrology, Beijing, China; Research Units of Diagnosis and Treatment of Immune-mediated Kidney Diseases, Chinese Academy of Medical Sciences, Beijing, China
| | - Chao Yang
- Renal Division, Department of Medicine, Peking University First Hospital, Peking University Institute of Nephrology, Beijing, China; Research Units of Diagnosis and Treatment of Immune-mediated Kidney Diseases, Chinese Academy of Medical Sciences, Beijing, China; Advanced Institute of Information Technology, Peking University, Hangzhou, China.
| | - Pengfei Li
- Advanced Institute of Information Technology, Peking University, Hangzhou, China
| | - Yang Wang
- National Climate Center, China Meteorological Administration, Beijing, China
| | - Luxia Zhang
- National Institute of Health Data Science at Peking University, Beijing, China; Renal Division, Department of Medicine, Peking University First Hospital, Peking University Institute of Nephrology, Beijing, China; Advanced Institute of Information Technology, Peking University, Hangzhou, China.
| |
Collapse
|
24
|
Deng X, Brotzge J, Tracy M, Chang HH, Romeiko X, Zhang W, Ryan I, Yu F, Qu Y, Luo G, Lin S. Identifying joint impacts of sun radiation, temperature, humidity, and rain duration on triggering mental disorders using a high-resolution weather monitoring system. ENVIRONMENT INTERNATIONAL 2022; 167:107411. [PMID: 35870379 DOI: 10.1016/j.envint.2022.107411] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/22/2022] [Revised: 07/08/2022] [Accepted: 07/11/2022] [Indexed: 06/15/2023]
Abstract
BACKGROUND Mental 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. METHODS We 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. RESULTS For 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. CONCLUSIONS Hot 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.
Collapse
Affiliation(s)
- Xinlei Deng
- Department of Environmental Health Sciences, School of Public Health, University at Albany, the State University of New York, Rensselaer, NY, USA
| | - Jerald Brotzge
- Program Manager, New York State Mesonet, University at Albany, the State University of New York, Albany, NY, USA
| | - Melissa Tracy
- Department of Epidemiology and Biostatistics, School of Public Health, University at Albany, the State University of New York, Rensselaer, NY, USA
| | - Howard H Chang
- Department of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Xiaobo Romeiko
- Department of Environmental Health Sciences, School of Public Health, University at Albany, the State University of New York, Rensselaer, NY, USA
| | - Wangjian Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Sun Yat-Sen University, Guangzhou, Guangdong, China
| | - Ian Ryan
- Department of Environmental Health Sciences, School of Public Health, University at Albany, the State University of New York, Rensselaer, NY, USA
| | - Fangqun Yu
- Department of Earth and Atmospheric Sciences, Atmospheric Sciences Research Center, University at Albany, the State University of New York, Rensselaer, NY, USA
| | - Yanji Qu
- Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangzhou, Guangdong, China
| | - Gan Luo
- Department of Earth and Atmospheric Sciences, Atmospheric Sciences Research Center, University at Albany, the State University of New York, Rensselaer, NY, USA
| | - Shao Lin
- Department 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.
| |
Collapse
|
25
|
Huang H, Liu X, Ren L. Analysis of the spatiotemporal mechanism of high temperature on residents’ irritability in Beijing based on multiscale geographically weighted regression model. Front Ecol Evol 2022. [DOI: 10.3389/fevo.2022.973365] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
The emotional health of urban residents is increasingly threatened by high temperatures due to global heating. However, how high temperature affects residents’ emotional health remains unknown. Therefore, this study investigated the spatiotemporal pattern of temperature’s impact on residents’ irritability using data from summer high-temperature measurement and emotional health survey in Beijing, combined with remote sensing images and statistical yearbooks. In detail, this study formulated a multiscale geographically weighted regression (MGWR) model, to study the differentiated and spatial influence of high-temperature factors on emotion. Results show: From 09:00 to 20:00, irritability level rose first then gradually dropped, with a pattern of “aggregation-fragmentation-aggregation.” Irritability is very sensitive to intercept and building density (BD). Other variables all have spatial heterogeneity [except for fraction vegetation coverage (FVC) or road network density (RND) as they are global variables], including normalized difference vegetation index (NDVI), water surface rate (WSR), floor area ratio (FAR), and Modified Normalized Difference Water Index (MNDWI) (sorted from the smallest to the largest in scale). Irritability is negatively correlated with NDVI, WSR, and RND, while positively correlated with intercept, MNDWI, FVC, FAR, and BD. Influence on irritability: WSR < NDVI < BD < MNDWI < RND < intercept < FVC < FAR.
Collapse
|
26
|
Yang MM, Zhang Y, Jiang XX, Yuan C. Impact of meteorological factors on hospital admissions for spinal diseases in Shanghai during 2015-2019. INTERNATIONAL JOURNAL OF ENVIRONMENTAL HEALTH RESEARCH 2022; 32:1780-1790. [PMID: 33813965 DOI: 10.1080/09603123.2021.1912302] [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: 12/04/2020] [Accepted: 03/27/2021] [Indexed: 06/12/2023]
Abstract
PURPOSE To assess the correlation between meteorological factors and spinal disease admissions. METHODS Data was obtained from the electronic medical records of a tertiary general hospital. Meteorological data was collected from China Meteorological Science Data Sharing Service. Distributed lag nonlinear models were used to evaluate the impact of meteorological variables on weekly spinal disease admissions. RESULTS A total of 2739 spinal cases were documented. Compared with estimates at the 50th, the cumulative relative risk (RR) for extremely high temperatures at the 97.5th over lag week 18 to lag week 20 increased by 75.7%. When the weekly maximum temperature reached 38°C during lag week 20, the maximum RR was 1.96 (95% CI:1.095-3.506). Moreover, the effects of extremely high temperatures on spinal disease admissions were more obvious in females and the age group ≥65 years old compared with males and the age group<65 years old. CONCLUSIONS Extremely high temperatures were significantly associated with higher risks of spinal disease admissions.
Collapse
Affiliation(s)
- Miao-Miao Yang
- Department of Nursing, Zhongshan Hospital Fudan University, Shanghai, China
| | - Ying Zhang
- Department of Nursing, Zhongshan Hospital Fudan University, Shanghai, China
| | - Xiao-Xing Jiang
- Department of orthopedic, Zhongshan Hospital Fudan University, Shanghai, China
| | - Chao Yuan
- Department of orthopedic, Zhongshan Hospital Fudan University, Shanghai, China
| |
Collapse
|
27
|
Natur S, Damri O, Agam G. The Effect of Global Warming on Complex Disorders (Mental Disorders, Primary Hypertension, and Type 2 Diabetes). INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19159398. [PMID: 35954764 PMCID: PMC9368177 DOI: 10.3390/ijerph19159398] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 06/07/2022] [Revised: 07/21/2022] [Accepted: 07/26/2022] [Indexed: 01/09/2023]
Abstract
Multiple studies imply a strong relationship between global warming (GW) and complex disorders. This review summarizes such reports concentrating on three disorders-mental disorders (MD), primary hypertension, and type 2 diabetes (T2D). We also attempt to point at potential mechanisms mediating the effect of GW on these disorders. Concerning mental disorders, immediate candidates are brain levels of heat-shock proteins (HSPs). In addition, given that heat stress increases reactive oxygen species (ROS) levels which may lead to blood-brain barrier (BBB) breakdown and, hence, enhanced protein extravasation in the brain, this might finally cause, or exacerbate mental health. As for hypertension, since its causes are incompletely understood, the mechanism(s) by which heat exposure affects blood pressure (BP) is an open question. Since the kidneys participate in regulating blood volume and BP they are considered as a site of heat-associated disease, hence, we discuss hyperosmolarity as a potential mediator. In addition, we relate to autoimmunity, inflammation, sodium excretion, and HSP70 as risk factors that might play a role in the effect of heat on hypertension. In the case of T2D, we raise two potential mediators of the effect of exposure to ambient hot environment on the disease's incidence-brown adipose tissue metabolism and HSPs.
Collapse
|
28
|
Huang H, Li Y, Zhao Y, Zhai W. Analysis of the impact of urban summer high temperatures and outdoor activity duration on residents' emotional health: Taking hostility as an example. Front Public Health 2022; 10:955077. [PMID: 35958864 PMCID: PMC9358219 DOI: 10.3389/fpubh.2022.955077] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2022] [Accepted: 07/06/2022] [Indexed: 11/27/2022] Open
Abstract
The combined effect of global warming and the heat island effect keeps the temperature of cities rising in the summer, seriously threatening the physical and mental health of urban residents. Taking the area within the Sixth Ring Road of Beijing as an example, based on Landsat remote sensing images, meteorological stations, and questionnaires, this study established a relational model between temperature and hostility and then analyzed the changes in the emotional health risk (hostility) in the study area and the mechanism of how outdoor activity duration influences hostility. Results show that: (1) the area within the Sixth Ring Road of Beijing had a higher and higher temperature from 1991 to 2020. Low-temperature areas gradually shrank, and medium- and high-temperature areas extended outwards from the center. (2) The threat of high temperature to residents' hostility gradually intensified—the sphere of influence expanded, low-risk areas quickly turned into medium-high-risk areas, and the level of hostility risk increased. Level 1 risk areas of hostility had the most obvious reduction—a 74.33% reduction in area proportion; meanwhile, Level 3 risk areas had the most significant growth—a 50.41% increase in area proportion. (3) In the first 120 min of outdoor activities under high temperature, residents' hostility was negatively correlated with outdoor activity duration; after more than 120 min, hostility became positively correlated with duration. Therefore, figuring out how temperature changes influence human emotions is of great significance to improving the living environment and health level of residents. This study attempts to (1) explore the impact of temperature changes and outdoor activity duration on hostility, (2) evaluate residents' emotional health risk levels affected by high temperature, and (3) provide a theoretical basis for the early warning mechanism of emotional health risk and the planning of healthy cities.
Collapse
Affiliation(s)
- Huanchun Huang
- College of Landscape Architecture, Nanjing Forestry University, Nanjing, China
| | - Yang Li
- College of Landscape Architecture, Nanjing Forestry University, Nanjing, China
| | - Yimin Zhao
- College of Landscape Architecture, Nanjing Forestry University, Nanjing, China
| | - Wei Zhai
- School of Architecture and Planning, The University of Texas at San Antonio, San Antonio, TX, United States
- *Correspondence: Wei Zhai
| |
Collapse
|
29
|
Chao L, Lu M, Gao W, An Z, Li J, Liu Y, Wu W, Song J. Ambient temperature exposure and risk of outpatient visits for dermatologic diseases in Xinxiang, China: a time-series analysis. INTERNATIONAL JOURNAL OF BIOMETEOROLOGY 2022; 66:1487-1493. [PMID: 35522347 DOI: 10.1007/s00484-022-02297-z] [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: 11/25/2021] [Revised: 04/06/2022] [Accepted: 04/26/2022] [Indexed: 06/14/2023]
Abstract
The effect of ambient temperature on dermatologic diseases has received widespread attention. Previous studies have shown that ambient temperature might affect specific dermatologic diseases, but results were inconsistent. This study aims to assess the short-term effect of ambient temperature on outpatient visits due to dermatologic diseases (DMs) in Xinxiang, China. Daily DMs outpatient visits, mean temperature, mean relative humidity, and air pollution data of Xinxiang were retrieved from January 1, 2015, to December 31, 2018. A distributed lag nonlinear model (DLNM) was applied to analyze the effect of ambient temperature on DMs outpatients. We controlled several potential confounding factors such as the long-term trend, public holiday, day of the week, humidity, and air pollutants (NO2, PM2.5). Finally, two more stratification analysis was conducted by age and gender. A total of 164,270 outpatients of DMs were enrolled during our study, and the daily mean visits were 113. The estimated effect of temperature on DMs was nonlinear. Heat temperature would exacerbate outpatients of dermatologic diseases. With a reference median temperature (17 °C), the effect of temperature on DMs was most pronounced at lag0-14; exposure to heat (32 °C, 99th) was associated with 1.565 (95% CI: 1.266-1.934) increased risk of outpatients for DMs. Stratification analysis showed that citizens of young ages were susceptive to heat; both genders had a similar relationship between temperature and DMs risk. This study highlights that ambient temperature was associated with DMs outpatients; heat temperature might aggravate DMs risk. The health hazards of heat temperature required more attention, and more effective prevention measurements should be designed and implemented to curb global warming.
Collapse
Affiliation(s)
- Ling Chao
- Henan International Collaborative Laboratory for Health Effects and Intervention of Air Pollution, School of Public Health, Xinxiang Medical University, Xinxiang, 453003, Henan Province, China
| | - Mengxue Lu
- Henan International Collaborative Laboratory for Health Effects and Intervention of Air Pollution, School of Public Health, Xinxiang Medical University, Xinxiang, 453003, Henan Province, China
| | - Wenshan Gao
- Henan International Collaborative Laboratory for Health Effects and Intervention of Air Pollution, School of Public Health, Xinxiang Medical University, Xinxiang, 453003, Henan Province, China
| | - Zhen An
- Henan International Collaborative Laboratory for Health Effects and Intervention of Air Pollution, School of Public Health, Xinxiang Medical University, Xinxiang, 453003, Henan Province, China
| | - Juan Li
- Henan International Collaborative Laboratory for Health Effects and Intervention of Air Pollution, School of Public Health, Xinxiang Medical University, Xinxiang, 453003, Henan Province, China
| | - Yue Liu
- National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, 100021, China
| | - Weidong Wu
- Henan International Collaborative Laboratory for Health Effects and Intervention of Air Pollution, School of Public Health, Xinxiang Medical University, Xinxiang, 453003, Henan Province, China
| | - Jie Song
- Henan International Collaborative Laboratory for Health Effects and Intervention of Air Pollution, School of Public Health, Xinxiang Medical University, Xinxiang, 453003, Henan Province, China.
| |
Collapse
|
30
|
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: 53] [Impact Index Per Article: 26.5] [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.
Collapse
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
| |
Collapse
|
31
|
Zhu Q, Zhang M, Hu Y, Xu X, Tao L, Zhang J, Luo Y, Guo X, Liu X. Research on prediction of daily admissions of respiratory diseases with comorbid diabetes in Beijing based on long short-term memory recurrent neural network. Zhejiang Da Xue Xue Bao Yi Xue Ban 2022; 51:1-9. [PMID: 35576109 PMCID: PMC9109758 DOI: 10.3724/zdxbyxb-2021-0227] [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: 08/06/2021] [Accepted: 12/08/2021] [Indexed: 06/15/2023]
Abstract
To compare the performance of generalized additive model (GAM) and long short-term memory recurrent neural network (LSTM-RNN) on the prediction of daily admissions of respiratory diseases with comorbid diabetes. Daily data on air pollutants, meteorological factors and hospital admissions for respiratory diseases from Jan 1st, 2014 to Dec 31st, 2019 in Beijing were collected. LSTM-RNN was used to predict the daily admissions of respiratory diseases with comorbid diabetes, and the results were compared with those of GAM. The evaluation indexes were calculated by five-fold cross validation. Compared with the GAM, the prediction errors of LSTM-RNN were significantly lower [root mean squared error (RMSE): 21.21±3.30 vs. 46.13±7.60, <0.01; mean absolute error (MAE): 14.64±1.99 vs. 36.08±6.20, <0.01], and the value was significantly higher (0.79±0.06 vs. 0.57±0.12, <0.01). In gender stratification, RMSE, MAE and values of LSTM-RNN were better than those of GAM in predicting female admission (all <0.05), but there were no significant difference in predicting male admission between two models (all >0.05). In seasonal stratification, RMSE and MAE of LSTM-RNN were lower than those of GAM in predicting warm season admission (all <0.05), but there was no significant difference in value (>0.05). There were no significant difference in RMSE, MAE and between the two models in predicting cold season admission (all >0.05). In the stratification of functional areas, the RMSE, MAE and values of LSTM-RNN were better than those of GAM in predicting core area admission (all <0.05). has lower prediction errors and better fitting than the GAM, which can provide scientific basis for precise allocation of medical resources in polluted weather in advance.
Collapse
Affiliation(s)
- Qian Zhu
- 1. School of Public Health, Capital Medical University, Beijing 100069, China
| | - Meng Zhang
- 1. School of Public Health, Capital Medical University, Beijing 100069, China
| | - Yaoyu Hu
- 1. School of Public Health, Capital Medical University, Beijing 100069, China
| | - Xiaolin Xu
- 2. School of Public Health, Zhejiang University School of Medicine, Hangzhou 310058, China
- 3. The University of Queensland, Brisbane 4006, Australia
| | - Lixin Tao
- 1. School of Public Health, Capital Medical University, Beijing 100069, China
- Municipal Key Laboratory of Clinical Epidemiology, Beijing 100069, China
| | - Jie Zhang
- 1. School of Public Health, Capital Medical University, Beijing 100069, China
- Municipal Key Laboratory of Clinical Epidemiology, Beijing 100069, China
| | - Yanxia Luo
- 1. School of Public Health, Capital Medical University, Beijing 100069, China
- Municipal Key Laboratory of Clinical Epidemiology, Beijing 100069, China
| | - Xiuhua Guo
- 1. School of Public Health, Capital Medical University, Beijing 100069, China
- Municipal Key Laboratory of Clinical Epidemiology, Beijing 100069, China
| | - Xiangtong Liu
- 1. School of Public Health, Capital Medical University, Beijing 100069, China
- Municipal Key Laboratory of Clinical Epidemiology, Beijing 100069, China
| |
Collapse
|
32
|
Chen J, Gao Y, Jiang Y, Li H, Lv M, Duan W, Lai H, Chen R, Wang C. Low ambient temperature and temperature drop between neighbouring days and acute aortic dissection: a case-crossover study. Eur Heart J 2021; 43:228-235. [PMID: 34849712 DOI: 10.1093/eurheartj/ehab803] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/05/2021] [Revised: 08/04/2021] [Accepted: 11/10/2021] [Indexed: 01/01/2023] Open
Abstract
AIMS The incidence of acute aortic dissection (AAD) has been shown to have seasonal variation, but whether this variation can be explained by non-optimum ambient temperature and temperature change between neighbouring days (TCN) is not clear. METHODS AND RESULTS We performed a time-stratified case-crossover study in the Registry of Aortic Dissection in China covering 14 tertiary hospitals in 11 cities from 2009 to 2019. A total of 8182 cases of AAD were included. Weather data at residential address were matched from nearby monitoring stations. Conditional logistic regression model and distributed lag nonlinear model were used to estimate the associations of daily temperature and TCN with AAD, adjusting for possible confounders. We observed an increase of AAD risk with lower temperature cumulated over lag 0-1 day and this association became statistically significant when daily mean temperature was below 24°C. Relative to the referent temperature (28°C), the odds ratios (ORs) of AAD onset at extremely low (-10°C) and low (1°C) temperature cumulated over lag 0-1 day were 2.84 [95% confidence interval (CI): 1.69, 4.75] and 2.36 (95% CI: 1.61, 3.47), respectively. A negative TCN was associated with increased risk of AAD. The OR of AAD cumulated over lag 0-6 days was 2.66 (95% CI: 1.76, 4.02) comparing the extremely negative TCN (-7°C) to no temperature change. In contrast, a positive TCN was associated with reduced AAD risk. CONCLUSION This study provides novel and robust evidence that low ambient temperature and temperature drop between neighbouring days were associated with increased risk of AAD onset. KEY QUESTION Incidence of acute aortic dissection (AAD) was reported to have seasonal trends, but it remains unclear whether non-optimum ambient temperature and temperature change between neighbouring days (TCN) is associated with AAD onset. KEY FINDING Daily mean temperature lower than 24°C was significantly associated with increased risk of AAD at lag 0-1 day. A negative TCN (temperature drop) was associated with increased risk of AAD, whereas a positive TCN was associated with decreased risk. TAKE HOME MESSAGE This multi-centre, case-crossover study provides novel and robust evidence that low ambient temperature and temperature drop between neighbouring days were associated with increased AAD risk.
Collapse
Affiliation(s)
- Jinmiao Chen
- Department of Cardiovascular Surgery, Zhongshan Hospital, Fudan University, 180 Fenglin Rd, Shanghai 200032, China
| | - Ya Gao
- Department of Environmental Health, School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Laboratory of Health Technology Assessment, Fudan University, 130 Dong'an Rd, Shanghai 200032, China
| | - Yixuan Jiang
- Department of Environmental Health, School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Laboratory of Health Technology Assessment, Fudan University, 130 Dong'an Rd, Shanghai 200032, China
| | - Huichu Li
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, 677 Huntington Ave, Boston, MA 02115, USA
| | - Minzhi Lv
- Department of Biostatistics, Zhongshan Hospital, Fudan University, 180 Fenglin Rd, Shanghai 200032, China
| | - Weixun Duan
- Department of Cardiovascular Surgery, Xijing Hospital, Air Force Military Medical University, 127 West Changle Rd, Xi'an, Shanxi 710032, China
| | - Hao Lai
- Department of Cardiovascular Surgery, Zhongshan Hospital, Fudan University, 180 Fenglin Rd, Shanghai 200032, China
| | - Renjie Chen
- Department of Environmental Health, School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Laboratory of Health Technology Assessment, Fudan University, 130 Dong'an Rd, Shanghai 200032, China
| | - Chunsheng Wang
- Department of Cardiovascular Surgery, Zhongshan Hospital, Fudan University, 180 Fenglin Rd, Shanghai 200032, China
| |
Collapse
|
33
|
Cheng J, Su H, Xu Z, Tong S. Extreme temperature exposure and acute myocardial infarction: Elevated risk within hours? ENVIRONMENTAL RESEARCH 2021; 202:111691. [PMID: 34331920 DOI: 10.1016/j.envres.2021.111691] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/10/2021] [Revised: 07/08/2021] [Accepted: 07/11/2021] [Indexed: 06/13/2023]
Abstract
Day-to-day change in ambient temperature is associated with acute myocardial infarction (AMI) attacks, but evidence is scarce about the effects of extreme temperatures on the risk of AMI within hours of exposure. This study investigated the hour-level associations between extreme temperatures and AMI occurrence. State-wide data on AMI patients and temperature during winter and summer of 2013-2015 were obtained for Queensland state of Australia. We employed a fixed time-stratified case-crossover analysis to quantify the risk of AMI associated with temperature within 24 h after exposure. Subgroups analyses by age, gender and disease history were also conducted. We observed a very acute effect of cold on men (occurred 9-10 h after exposure), women (19-22 h after exposure), and the elderly (4-20 h after exposure). Cold was associated with elevated AMI risk for men within 9 h (OR = 2.1, 95 % CI: 1.2-3.6), women within 19 h (OR = 2.5, 95 % CI: 1.0-6.0), and the elderly within 4 h (OR: 2.0, 95 % CI: 1.0-4.0). However, elevated risk of AMI associated with heat occurred 15 h later for men (OR: 3.9; 95 % CI: 1.1-13.9) and 23 h later for adults (OR: 4.1, 95 % CI: 1.1-15.4). People never suffered AMI and the elderly with diabetes or hyperlipidaemia were particularly vulnerable to cold. Those that were particularly vulnerable to heat were men never experienced AMI or having hypertension or having hyperlipidaemia as well as women ever suffered AMI. Effects of temperature on AMI risk at sub-daily timescales should be considered to prevent cardiac events.
Collapse
Affiliation(s)
- 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
| | - 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 Public Health, Faculty of Medicine, University of Queensland, Brisbane, Australia
| | - Shilu Tong
- Department of Clinical Epidemiology and Biostatistics, Shanghai Children's Medical Center, Shanghai Jiaotong University School of Medicine, Shanghai, China; School of Public Health and Social Work, Queensland University of Technology, Brisbane, Australia; School of Public Health, Institute of Environment and Population Health, Anhui Medical University, Hefei, China.
| |
Collapse
|
34
|
Yoo EH, Eum Y, Roberts JE, Gao Q, Chen K. Association between extreme temperatures and emergency room visits related to mental disorders: A multi-region time-series study in New York, USA. THE SCIENCE OF THE TOTAL ENVIRONMENT 2021; 792:148246. [PMID: 34144243 DOI: 10.1016/j.scitotenv.2021.148246] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/01/2021] [Revised: 05/21/2021] [Accepted: 05/31/2021] [Indexed: 06/12/2023]
Abstract
BACKGROUND There is growing evidence suggesting that extreme temperatures have an impact on mental disorders. We aimed to explore the effect of extreme temperatures on emergency room (ER) visits for mental health disorders using 2.8 million records from New York State, USA (2009-2016), and to examine potential effect modifications by individuals' age, sex, and race/ethnicity through a stratified analysis to determine if certain populations are more susceptible. METHOD To assess the short-term impact of daily average temperature on ER visits related to mental disorders, we applied a quasi-Poisson generalized linear model combined with a distributed lag non-linear model (DLNM). The model was adjusted for day of the week, precipitation, as well as long-term and seasonal time trends. We also conducted a meta-analysis to pool the region-specific risk estimates and construct the overall cumulative exposure-response curves for all regions. RESULTS We found positive associations between short-term exposure to extreme heat (27.07 ∘C) and increased ER visits for total mental disorders, as well as substance abuse, mood and anxiety disorders, schizophrenia, and dementia. We did not find any statistically significant difference among any subgroups of the population being more susceptible to extreme heat than any other. CONCLUSIONS Our findings suggest that there is a positive association between short-term exposure to extreme heat and increased ER visits for total mental disorders. This extreme effect was also found across all sub-categories of mental disease, although further research is needed to confirm our finding for specific mental disorders, such as dementia, which accounted for less than 1% of the total mental disorders in this sample.
Collapse
Affiliation(s)
- Eun-Hye Yoo
- Department of Geography, State University of New York at Buffalo, NY, USA.
| | - Youngseob Eum
- Department of Geography, State University of New York at Buffalo, NY, USA
| | - John E Roberts
- Department of Psychology, State University of New York at Buffalo, NY, USA
| | - Qi Gao
- State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing, China; Department of Environmental Health Sciences, Yale School of Public Health, New Haven, CT, USA; Yale Center on Climate Change and Health, Yale School of Public Health, New Haven, CT, USA
| | - Kai Chen
- Department of Environmental Health Sciences, Yale School of Public Health, New Haven, CT, USA; Yale Center on Climate Change and Health, Yale School of Public Health, New Haven, CT, USA
| |
Collapse
|
35
|
Bundo M, de Schrijver E, Federspiel A, Toreti A, Xoplaki E, Luterbacher J, Franco OH, Müller T, Vicedo-Cabrera AM. Ambient temperature and mental health hospitalizations in Bern, Switzerland: A 45-year time-series study. PLoS One 2021; 16:e0258302. [PMID: 34637463 PMCID: PMC8509878 DOI: 10.1371/journal.pone.0258302] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2020] [Accepted: 09/23/2021] [Indexed: 11/24/2022] Open
Abstract
BACKGROUND Psychiatric disorders constitute a major public health concern that are associated with substantial health and socioeconomic burden. Psychiatric patients may be more vulnerable to high temperatures, which under current climate change projections will most likely increase the burden of this public health concern. OBJECTIVE This study investigated the short-term association between ambient temperature and mental health hospitalizations in Bern, Switzerland. METHODS Daily hospitalizations for mental disorders between 1973 and 2017 were collected from the University Hospital of Psychiatry and Psychotherapy in Bern. Population-weighted daily mean ambient temperatures were derived for the catchment area of the hospital from 2.3-km gridded weather maps. Conditional quasi-Poisson regression with distributed lag linear models were applied to assess the association up to three days after the exposure. Stratified analyses were conducted by age, sex, and subdiagnosis, and by subperiods (1973-1989 and 1990-2017). Additional subanalyses were performed to assess whether larger risks were found during the warm season or were due to heatwaves. RESULTS The study included a total number of 88,996 hospitalizations. Overall, the hospitalization risk increased linearly by 4.0% (95% CI 2.0%, 7.0%) for every 10°C increase in mean daily temperature. No evidence of a nonlinear association or larger risks during the warm season or heatwaves was found. Similar estimates were found across for all sex and age categories, and larger risks were found for hospitalizations related to developmental disorders (29.0%; 95% CI 9.0%, 54.0%), schizophrenia (10.0%; 95% CI 4.0%, 15.0%), and for the later rather than the earlier period (5.0%; 95% CI 2.0%, 8.0% vs. 2.0%; 95% CI -3.0%, 8.0%). CONCLUSIONS Our findings suggest that increasing temperatures could negatively affect mental status in psychiatric patients. Specific public health policies are urgently needed to protect this vulnerable population from the effects of climate change.
Collapse
Affiliation(s)
- Marvin Bundo
- Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland
- Oeschger Center for Climate Change Research, University of Bern, Bern, Switzerland
- Graduate School for Health Sciences, University of Bern, Bern, Switzerland
| | - Evan de Schrijver
- Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland
- Oeschger Center for Climate Change Research, University of Bern, Bern, Switzerland
- Graduate School for Health Sciences, University of Bern, Bern, Switzerland
| | - Andrea Federspiel
- Translational Research Center (TRC), University Hospital of Psychiatry and Psychotherapy University of Bern, Bern, Switzerland
| | - Andrea Toreti
- European Commission, Joint Research Centre, Ispra, Italy
| | - Elena Xoplaki
- Department of Geography, Climatology, Climate Dynamics and Climate Change, Justus Liebig University Giessen, Giessen, Germany
- Center for International Development and Environmental Research (ZEU), Justus Liebig University Giessen, Giessen, Germany
| | - Jürg Luterbacher
- World Meteorological Organization (WMO), Science and Innovation Department, Geneva, Switzerland
| | - Oscar H. Franco
- Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland
| | - Thomas Müller
- Translational Research Center (TRC), University Hospital of Psychiatry and Psychotherapy University of Bern, Bern, Switzerland
- Privatclinic Meiringen, Meiringen, Switzerland
| | - Ana M. Vicedo-Cabrera
- Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland
- Oeschger Center for Climate Change Research, University of Bern, Bern, Switzerland
| |
Collapse
|
36
|
Zhang M, Zhu Y. Association between particulate matter pollution and the incidence of mumps in 31 provinces from China. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2021; 28:51210-51216. [PMID: 33977431 DOI: 10.1007/s11356-021-14287-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/22/2021] [Accepted: 05/03/2021] [Indexed: 06/12/2023]
Abstract
Previous studies have found that particulate matter (PM) pollution is a risk factor for respiratory disease by affecting body's immunity and carrying microorganisms. This study aimed to explore the association between PM and the incidence of mumps in 31 provinces from China. Monthly mumps cases, air pollution concentration, and meteorological factors in each province were obtained between January 2014 to December 2017. We used a generalized additive model (GAM) to investigate the associations of PM2.5 and PM10 with monthly mumps cases. We also tested the statistical significance of the differences between effect estimates in the warm season (April to September) and cold season (October to March) to explore potential effect modification. We found that a 10-μg/m3 increase (lag0) in PM2.5, and PM10 was associated with a 2.34% (95% CI: 1.32 to 3.36) and 1.90% (95% CI: 1.19 to 2.62) increase in the monthly counts of mumps cases, respectively. We also observed significant positive associations of PM2.5 and PM10 with mumps cases at lag0-1. These results were robust in our sensitivity analyses. No significant differences were found between the season-specific effects. Our results indicate that there is a positive relationship between PM and the incidence of mumps, which provides important implications for the prevention and control of mumps.
Collapse
Affiliation(s)
- Mengru Zhang
- School of Management, University of Science and Technology of China, Hefei, China
| | - Yongjian Zhu
- School of Management, University of Science and Technology of China, Hefei, China.
| |
Collapse
|
37
|
Liu J, Varghese BM, Hansen A, Xiang J, Zhang Y, Dear K, Gourley M, Driscoll T, Morgan G, Capon A, Bi P. Is there an association between hot weather and poor mental health outcomes? A systematic review and meta-analysis. ENVIRONMENT INTERNATIONAL 2021; 153:106533. [PMID: 33799230 DOI: 10.1016/j.envint.2021.106533] [Citation(s) in RCA: 102] [Impact Index Per Article: 34.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/21/2020] [Revised: 03/12/2021] [Accepted: 03/16/2021] [Indexed: 06/12/2023]
Abstract
BACKGROUND Mental health is an important public health issue globally. A potential link between heat exposure and mental health outcomes has been recognised in the scientific literature; however, the associations between heat exposure (both high ambient temperatures and heatwaves) and mental health-related mortality and morbidity vary between studies and locations. OBJECTIVE To fill gaps in knowledge, this systematic review aims to summarize the epidemiological evidence and investigate the quantitative effects of high ambient temperatures and heatwaves on mental health-related mortality and morbidity outcomes, while exploring sources of heterogeneity. METHODS A systematic search of peer-reviewed epidemiological studies on heat exposure and mental health outcomes published between January 1990 and November 2020 was conducted using five databases (PubMed, Embase, Scopus, Web of Science and PsycINFO). We included studies that examined the association between high ambient temperatures and/or heatwaves and mental health-related mortality and morbidity (e.g. hospital admissions and emergency department visits) in the general population. A range of mental health conditions were defined using ICD-10 classifications. We performed random effects meta-analysis to summarize the relative risks (RRs) in mental health outcomes per 1 °C increase in temperature, and under different heatwaves definitions. We further evaluated whether variables such as age, sex, socioeconomic status, and climate zone may explain the observed heterogeneity. RESULTS The keyword search yielded 4560 citations from which we identified 53 high temperatures/heatwaves studies that comprised over 1.7 million mental health-related mortality and 1.9 million morbidity cases in total. Our findings suggest associations between heat exposures and a range of mental health-related outcomes. Regarding high temperatures, our meta-analysis of study findings showed that for each 1 °C increase in temperature, the mental health-related mortality and morbidity increased with a RR of 1.022 (95%CI: 1.015-1.029) and 1.009 (95%CI: 1.007-1.015), respectively. The greatest mortality risk was attributed to substance-related mental disorders (RR, 1.046; 95%CI: 0.991-1.101), followed by organic mental disorders (RR, 1.033; 95%CI: 1.020-1.046). A 1 °C temperature rise was also associated with a significant increase in morbidity such as mood disorders, organic mental disorders, schizophrenia, neurotic and anxiety disorders. Findings suggest evidence of vulnerability for populations living in tropical and subtropical climate zones, and for people aged more than 65 years. There were significant moderate and high heterogeneities between effect estimates in overall mortality and morbidity categories, respectively. Lower heterogeneity was noted in some subgroups. The magnitude of the effect estimates for heatwaves varied depending on definitions used. The highest effect estimates for mental health-related morbidity was observed when heatwaves were defined as "mean temperature ≥90th percentile for ≥3 days" (RR, 1.753; 95%CI: 0.567-5.421), and a significant effect was also observed when the definition was "mean temperature ≥95th percentile for ≥3 days", with a RR of 1.064 (95%CI: 1.006-1.123). CONCLUSIONS Our findings support the hypothesis of a positive association between elevated ambient temperatures and/or heatwaves and adverse mental health outcomes. This problem will likely increase with a warming climate, especially in the context of climate change. Further high-quality studies are needed to identify modifying factors of heat impacts.
Collapse
Affiliation(s)
- Jingwen Liu
- School of Public Health, The University of Adelaide, Australia
| | | | - Alana Hansen
- School of Public Health, The University of Adelaide, Australia
| | - Jianjun Xiang
- School of Public Health, The University of Adelaide, Australia; School of Public Health, Fujian Medical University, China
| | - Ying Zhang
- Sydney School of Public Health, The University of Sydney, Australia
| | - Keith Dear
- School of Public Health, The University of Adelaide, Australia
| | - Michelle Gourley
- Burden of Disease and Mortality Unit, Australian Institute of Health and Welfare, Australia
| | - Timothy Driscoll
- Sydney School of Public Health, The University of Sydney, Australia
| | - Geoffrey Morgan
- Sydney School of Public Health, The University of Sydney, Australia
| | - Anthony Capon
- Monash Sustainable Development Institute, Monash University, Australia
| | - Peng Bi
- School of Public Health, The University of Adelaide, Australia.
| |
Collapse
|
38
|
Yoo EH, Eum Y, Gao Q, Chen K. Effect of extreme temperatures on daily emergency room visits for mental disorders. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2021; 28:39243-39256. [PMID: 33751353 DOI: 10.1007/s11356-021-12887-w] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/12/2020] [Accepted: 02/08/2021] [Indexed: 06/12/2023]
Abstract
Relatively few studies investigated the effects of extreme temperatures (both heat and cold) on mental health (ICD-9: 290-319; ICD-10: F00-F99) and the potential effect modifications by individuals' age, sex, and race. We aimed to explore the effect of extreme temperatures of both heat and cold on the emergency room (ER) visits for mental health disorders, and conducted a stratified analysis to identify possible susceptible population in Erie and Niagara counties, NY, USA. To assess the short-term impacts of daily maximum temperature on ER visits related to mental disorders (2009-2015), we applied a quasi-Poisson generalized linear model combined with a distributed lag non-linear model (DLNM). The model was adjusted for day of the week, precipitation, long-term time trend, and seasonality. We found that there were positive associations between short-term exposure to extreme ambient temperatures and increased ER visits for mental disorders, and the effects can vary by individual factors. We found heat effect (relative risk (RR) = 1.16; 95% confidence intervals (CI), 1.06-1.27) on exacerbated mental disorders became intense in the study region and subgroup of population (the elderly) being more susceptible to extreme heat than any other age group. For extreme cold, we found that there is a substantial delay effect of 14 days (RR = 1.25; 95% CI = 1.08-1.45), which is particularly burdensome to the age group of 50-64 years old and African-Americans. Our findings suggest that there is a positive association between short-term exposure to extreme ambient temperature (heat and cold) and increased ER visits for mental disorders, and the effects vary as a function of individual factors, such as age and race.
Collapse
Affiliation(s)
- Eun-Hye Yoo
- Department of Geography, State University of New York at Buffalo, Buffalo, NY, USA.
| | - Youngseob Eum
- Department of Geography, State University of New York at Buffalo, Buffalo, NY, USA
| | - Qi Gao
- State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing, China
- Department of Environmental Health Sciences, Yale School of Public Health, New Haven, CT, USA
- Yale Center on Climate Change and Health, Yale School of Public Health, New Haven, CT, USA
| | - Kai Chen
- Department of Environmental Health Sciences, Yale School of Public Health, New Haven, CT, USA
- Yale Center on Climate Change and Health, Yale School of Public Health, New Haven, CT, USA
| |
Collapse
|
39
|
Li M, Chen S, Zhao H, Tang C, Lai Y, Ung COL, Su J, Hu H. The short-term associations of chronic obstructive pulmonary disease hospitalizations with meteorological factors and air pollutants in Southwest China: a time-series study. Sci Rep 2021; 11:12914. [PMID: 34155257 PMCID: PMC8217527 DOI: 10.1038/s41598-021-92380-z] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2020] [Accepted: 05/31/2021] [Indexed: 11/09/2022] Open
Abstract
Chronic obstructive pulmonary disease (COPD) is the fourth major cause of mortality and morbidity worldwide and is projected to be the third by 2030. However, there is little evidence available on the associations of COPD hospitalizations with meteorological factors and air pollutants in developing countries/regions of Asia. In particular, no study has been done in western areas of China considering the nonlinear and lagged effects simultaneously. This study aims to evaluate the nonlinear and lagged associations of COPD hospitalizations with meteorological factors and air pollutants using time-series analysis. The modified associations by sex and age were also investigated. The distributed lag nonlinear model was used to establish the association of daily COPD hospitalizations of all 441 public hospitals in Chengdu, China from Jan/2015-Dec/2017 with the ambient meteorological factors and air pollutants. Model parameters were optimized based on quasi Akaike Information Criterion and model diagnostics was conducted by inspecting the deviance residuals. Subgroup analysis by sex and age was also performed. Temperature, relative humidity, wind and Carbon Monoxide (CO) have statistically significant and consistent associations with COPD hospitalizations. The cumulative relative risk (RR) was lowest at a temperature of 19℃ (relative humidity of 67%). Both extremely high and low temperature (and relative humidity) increase the cumulative RR. An increase of wind speed above 4 mph (an increase of CO above 1.44 mg/m3) significantly decreases (increases) the cumulative RR. Female populations were more sensitive to low temperature and high CO level; elderly (74+) populations are more sensitive to high relative humidity; younger populations (< = 74) are more susceptible to CO higher than 1.44 mg/m3. Therefore, people with COPD should avoid exposure to adverse environmental conditions of extreme temperatures and relative humidity, low wind speed and high CO level, especially for female and elderly patients who were more sensitive to extreme temperatures and relative humidity.
Collapse
Affiliation(s)
- Meng Li
- State Key Laboratory in Quality Research of Chinese Medicine, Institute of Chinese Medical Sciences, University of Macau, Macao SAR, China
| | - Shengqi Chen
- State Key Laboratory in Quality Research of Chinese Medicine, Institute of Chinese Medical Sciences, University of Macau, Macao SAR, China
| | - Hanqing Zhao
- Sichuan Academy of Medical Sciences, Sichuan Provincial People's Hospital, Chengdu, China
| | - Chengxiang Tang
- School of Public Administration, Guangzhou University, Guangzhou, China
| | - Yunfeng Lai
- State Key Laboratory in Quality Research of Chinese Medicine, Institute of Chinese Medical Sciences, University of Macau, Macao SAR, China
| | - Carolina Oi Lam Ung
- State Key Laboratory in Quality Research of Chinese Medicine, Institute of Chinese Medical Sciences, University of Macau, Macao SAR, China
| | - Jinya Su
- School of Computer Science and Electronic Engineering, University of Essex, Colchester, CO4 3SQ, UK.
| | - Hao Hu
- State Key Laboratory in Quality Research of Chinese Medicine, Institute of Chinese Medical Sciences, University of Macau, Macao SAR, China.
| |
Collapse
|
40
|
Kubo R, Ueda K, Seposo X, Honda A, Takano H. Association between ambient temperature and intentional injuries: A case-crossover analysis using ambulance transport records in Japan. THE SCIENCE OF THE TOTAL ENVIRONMENT 2021; 774:145511. [PMID: 33609821 DOI: 10.1016/j.scitotenv.2021.145511] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/04/2020] [Revised: 01/26/2021] [Accepted: 01/26/2021] [Indexed: 06/12/2023]
Abstract
BACKGROUND Epidemiological studies based on mortality and crime data have indicated that short-term exposure to higher temperature increases the risk of suicide and violent crimes. However, there are few studies on non-fatal intentional injury, especially on non-fatal self-harm which is much more common than suicide. OBJECTIVES We aimed to clarify how short-term exposure to temperature is associated with emergency ambulance transport caused by intentional injuries including acts of self-harm and assault. METHOD We applied a time-stratified case-crossover design using a conditional quasi-Poisson regression model for each of the 46 prefectures. All temperatures were converted to percentile value for each prefecture, to account for the varied climate across Japan. A Distributed Lag Non-Linear Model was used to explore the temperature percentile and lag pattern. The prefecture-specific results were combined using a meta-analysis with the random effects model. RESULT Between 2012 and 2015, the number of acts of self-harm and assault across all 46 prefectures totaled 151,801 and 95,861, respectively. We found that as the temperature increased, the relative risk (RRs) for both self-harm and assault behaviors increased in a nearly linear manner. The pooled relative risk at the 99th percentile temperature for self-harm behavior was 1.11 (95% CI: 1.07, 1.15) compared with the risk at the 1st percentile temperature, and that for assault was 1.12 (95% CI: 1.08, 1.16) at lag 0. The RRs were highest at lag0 and less than 1 at lag7-20. CONCLUSION The present study found that short-term exposure to higher temperature promotes the risk of emergency ambulance transport due to acts of self-harm and assault. The lag pattern indicates a possible "displacement" effect. These results suggest that exposure to high temperatures may potentially function as a trigger for intentional injuries.
Collapse
Affiliation(s)
- Ryusei Kubo
- Department of Environmental Engineering, Graduate School of Engineering, Kyoto University, Kyoto, Japan
| | - Kayo Ueda
- Department of Environmental Engineering, Graduate School of Engineering, Kyoto University, Kyoto, Japan; Graduate School of Global Environmental Studies, Kyoto University, Kyoto, Japan.
| | - Xerxes Seposo
- School of Tropical Medicine and Global Health, Nagasaki University, Japan
| | - Akiko Honda
- Department of Environmental Engineering, Graduate School of Engineering, Kyoto University, Kyoto, Japan; Graduate School of Global Environmental Studies, Kyoto University, Kyoto, Japan
| | - Hirohisa Takano
- Department of Environmental Engineering, Graduate School of Engineering, Kyoto University, Kyoto, Japan; Graduate School of Global Environmental Studies, Kyoto University, Kyoto, Japan
| |
Collapse
|
41
|
Wondmagegn BY, Xiang J, Dear K, Williams S, Hansen A, Pisaniello D, Nitschke M, Nairn J, Scalley B, Xiao A, Jian L, Tong M, Bambrick H, Karnon J, Bi P. Increasing impacts of temperature on hospital admissions, length of stay, and related healthcare costs in the context of climate change in Adelaide, South Australia. THE SCIENCE OF THE TOTAL ENVIRONMENT 2021; 773:145656. [PMID: 33592481 DOI: 10.1016/j.scitotenv.2021.145656] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/14/2020] [Revised: 01/21/2021] [Accepted: 02/01/2021] [Indexed: 05/22/2023]
Abstract
BACKGROUND A growing number of studies have investigated the effect of increasing temperatures on morbidity and health service use. However, there is a lack of studies investigating the temperature-attributable cost burden. OBJECTIVES This study examines the relationship of daily mean temperature with hospital admissions, length of hospital stay (LoS), and costs; and estimates the baseline temperature-attributable hospital admissions, and costs and in relation to warmer climate scenarios in Adelaide, South Australia. METHOD A daily time series analysis using distributed lag non-linear models (DLNM) was used to explore exposure-response relationships and to estimate the aggregated burden of hospital admissions for conditions associated with temperatures (i.e. renal diseases, mental health, diabetes, ischaemic heart diseases and heat-related illnesses) as well as the associated LoS and costs, for the baseline period (2010-2015) and different future climate scenarios in Adelaide, South Australia. RESULTS During the six-year baseline period, the overall temperature-attributable hospital admissions, LoS, and associated costs were estimated to be 3915 cases (95% empirical confidence interval (eCI): 235, 7295), 99,766 days (95% eCI: 14,484, 168,457), and AU$159 million (95% eCI: 18.8, 269.0), respectively. A climate scenario consistent with RCP8.5 emissions, and including projected demographic change, is estimated to lead to increases in heat-attributable hospital admissions, LoS, and costs of 2.2% (95% eCI: 0.5, 3.9), 8.4% (95% eCI: 1.1, 14.3), and 7.7% (95% eCI: 0.3, 13.3), respectively by mid-century. CONCLUSIONS There is already a substantial temperature-attributable impact on hospital admissions, LoS, and costs which are estimated to increase due to climate change and an increasing aged population. Unless effective climate and public health interventions are put into action, the costs of treating temperature-related admissions will be high.
Collapse
Affiliation(s)
- Berhanu Y Wondmagegn
- School of Public Health, The University of Adelaide, North Terrace, Adelaide, South Australia, Australia; College of Health and Medical Sciences, Haramaya University, Dire Dawa, Ethiopia.
| | - Jianjun Xiang
- School of Public Health, The University of Adelaide, North Terrace, Adelaide, South Australia, Australia.
| | - Keith Dear
- School of Public Health, The University of Adelaide, North Terrace, Adelaide, South Australia, Australia
| | - Susan Williams
- School of Public Health, The University of Adelaide, North Terrace, Adelaide, South Australia, Australia.
| | - Alana Hansen
- School of Public Health, The University of Adelaide, North Terrace, Adelaide, South Australia, Australia.
| | - Dino Pisaniello
- School of Public Health, The University of Adelaide, North Terrace, Adelaide, South Australia, Australia.
| | - Monika Nitschke
- South Australian Department of Health and Wellbeing, Adelaide, South Australia, Australia.
| | - John Nairn
- Australian Bureau of Meteorology, South Australia, Australia.
| | - Ben Scalley
- Metropolitan Communicable Disease Control, Department of Health WA, Perth, Western Australia, Australia.
| | - Alex Xiao
- Epidemiology Branch, Department of Health WA, Perth, Western Australia, Australia.
| | - Le Jian
- Epidemiology Branch, Department of Health WA, Perth, Western Australia, Australia.
| | - Michael Tong
- School of Public Health, The University of Adelaide, North Terrace, Adelaide, South Australia, Australia.
| | - Hilary Bambrick
- School of Public Health and Social Work, Queensland University of Technology, Brisbane, Queensland, Australia.
| | - Jonathan Karnon
- College of Medicine and Public Health, Flinders University, Bedford Park, South Australia, Australia.
| | - Peng Bi
- School of Public Health, The University of Adelaide, North Terrace, Adelaide, South Australia, Australia.
| |
Collapse
|
42
|
Cheng P, Peng L, Hao J, Li S, Zhang C, Dou L, Fu W, Yang F, Hao J. Short-term effects of ambient temperature on preterm birth: a time-series analysis in Xuzhou, China. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2021; 28:12406-12413. [PMID: 33078353 DOI: 10.1007/s11356-020-11201-4] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/31/2020] [Accepted: 10/09/2020] [Indexed: 06/11/2023]
Abstract
To date, research evidence suggests that extreme ambient temperatures may lead to preterm birth. Since the results of studies in subtropical humid monsoon climate are inconclusive, we investigated the association between extreme ambient temperatures and the risk of preterm birth in Xuzhou, China. We analyzed the association between the birth data of 103,876 singleton deliveries (from July 1, 2016 to June 30, 2019) and ambient temperature. We used a quasi-Poisson model with distributed lag nonlinear models (DLNM) to investigate the delay and nonlinear effects of temperature, taking into account the effects of air pollutants and relative humidity. During the study period, the number of hospitalizations for preterm birth was 4623. Taking the median temperature (16.8 °C) as a reference, the highest risk estimate at extreme cold temperature (- 2.8 °C, 1st percentile) was found at lag 0-1 days. Exposure to extreme cold (- 2.8 °C, 1st percentile), or moderate cold (6.8 °C, 25th percentile) were associated with 1.659 (95% confidence interval [CI] 1.177-2.338) and 1.456 (95% CI 1.183-1.790) increased risks of preterm birth, respectively. In the further stratified analysis of the age of pregnant women, we found that there were significant associations between cold temperatures and preterm birth in both groups (older group ≥ 35; younger group < 35). In a subtropical humid monsoon climate, low ambient temperatures may lead to preterm birth, suggesting that women should stay away from low temperatures during pregnancy.
Collapse
Affiliation(s)
- Peng Cheng
- Department of Maternal Child and Adolescent Health, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, China
| | - Lei Peng
- Xuzhou Maternal and Child Health Family Planning Service Center, 46 Heping Road, Xuzhou, 221000, Jiangsu, China
| | - Jingwen Hao
- Department of Maternal Child and Adolescent Health, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, China
| | - Sha Li
- Department of Maternal Child and Adolescent Health, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, China
| | - Chao Zhang
- Department of Maternal Child and Adolescent Health, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, China
| | - Lianjie Dou
- Department of Maternal Child and Adolescent Health, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, China
| | - Weinan Fu
- Department of Maternal Child and Adolescent Health, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, China
| | - Fan Yang
- Department of Maternal Child and Adolescent Health, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, China
| | - Jiahu Hao
- Department of Maternal Child and Adolescent Health, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, China.
| |
Collapse
|
43
|
Lickiewicz J, Piotrowicz K, Hughes PP, Makara-Studzińska M. Weather and Aggressive Behavior among Patients in Psychiatric Hospitals-An Exploratory Study. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2020; 17:ijerph17239121. [PMID: 33297298 PMCID: PMC7730982 DOI: 10.3390/ijerph17239121] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 10/13/2020] [Revised: 11/28/2020] [Accepted: 11/30/2020] [Indexed: 12/21/2022]
Abstract
Background: The number of meteoropaths, or people negatively affected by weather conditions, is rising dramatically. Meteoropathy is developing rapidly due to ever poorer adaptations of people to changes in weather conditions. Strong weather stimuli may not only exacerbate symptoms in people with diseases of the cardiovascular and respiratory systems but may also induce aggressive behavior. Researchers have shown that patients suffering from mental illnesses are most vulnerable to changes in the weather and postulate a connection between the seasons and aggressive behavior. Methods: The goal of the study was to analyze the relationship between coercive measures and weather factors. The researchers identified what meteorological conditions prevailed on days with an increased number of incidents of aggressive behavior leading to the use of physical coercion towards patients in a psychiatric hospital in Poland. In order to determine the impact of weather conditions on the frequency at which physical coercion measures were used, the hospital’s “coercion sheets” from 1 January 2015 to 31 March 2017 were analyzed. The data were correlated with meteorological data. In order to determine the relationship between the occurrence of specific weather conditions and the number of coercive interventions (N), researchers utilized Spearman’s rank correlation analysis together with two-dimensional scatter diagrams (dependency models), multiple regression, stepwise regression, frequencies, and conditional probability (%). Results: Lower barometric pressure and foehn wind increased aggressive behavior in patients that led to coercive measures. For temperature (positive correlation) and humidity (negative correlation), there was a poor but statistically significant correlation. Conclusions: Monitoring weather conditions might be useful in predicting and preventing aggression by patients who are susceptible to weather changes
Collapse
Affiliation(s)
- Jakub Lickiewicz
- Department of Health Psychology, Faculty of Health Sciences, Institute of Nursing and Midwifery, Jagiellonian University Medical College, 31-501 Kraków, Poland;
- Correspondence: ; Tel.: +48-12-430-32-05
| | - Katarzyna Piotrowicz
- Department of Climatology, Institute of Geography and Spatial Management, Jagiellonian University, 30-387 Krakow, Poland;
| | - Patricia Paulsen Hughes
- Department of Kinesiology, Applied Health and Recreation, College of Education and Human Sciences, Oklahoma State University, Stillwater, OK 74078, USA;
| | - Marta Makara-Studzińska
- Department of Health Psychology, Faculty of Health Sciences, Institute of Nursing and Midwifery, Jagiellonian University Medical College, 31-501 Kraków, Poland;
| |
Collapse
|
44
|
de Almeida DS, Martins LD, Muniz EC, Rudke AP, Squizzato R, Beal A, de Souza PR, Bonfim DPF, Aguiar ML, Gimenes ML. Biodegradable CA/CPB electrospun nanofibers for efficient retention of airborne nanoparticles. PROCESS SAFETY AND ENVIRONMENTAL PROTECTION : TRANSACTIONS OF THE INSTITUTION OF CHEMICAL ENGINEERS, PART B 2020; 144:177-185. [PMID: 32834561 PMCID: PMC7366959 DOI: 10.1016/j.psep.2020.07.024] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/19/2020] [Revised: 07/10/2020] [Accepted: 07/13/2020] [Indexed: 05/18/2023]
Abstract
The increase of the industrialization process brought the growth of pollutant emissions into the atmosphere. At the same time, the demand for advances in aerosol filtration is evolving towards more sustainable technologies. Electrospinning is gaining notoriety, once it enables to produce polymeric nanofibers with different additives and also the obtaining of small pore sizes and fiber diameters; desirable features for air filtration materials. Therefore, this work aims to evaluate the filtration performance of cellulose acetate (CA) nanofibers and cationic surfactant cetylpyridinium bromide (CPB) produced by electrospinning technique for retention of aerosol nanoparticles. The pressure drop and collection efficiency measurements of sodium chloride (NaCl) aerosol particles (diameters from 7 to 300 nm) were performed using Scanning Mobility Particle Sizer (SMPS). The average diameter of the electrospun nanofibers used was 239 nm, ranging from 113 to 398 nm. Experimental results indicated that the nanofibers showed good permeability (10-11 m2) and high-efficiency filtration for aerosol nanoparticles (about 100 %), which can include black carbon (BC) and the new coronavirus. The pressure drop was 1.8 kPa at 1.6 cm s-1, which is similar to reported for some high-efficiency nanofiber filters. In addition, it also retains BC particles present in air, which was about 90 % for 375 nm and about 60 % for the 880 nm wavelength. Finally, this research provided information for future designs of indoor air filters and filter media for facial masks with renewable, non-toxic biodegradable, and potential antibacterial characteristics.
Collapse
Affiliation(s)
- Daniela Sanches de Almeida
- State University of Maringá, Av. Colombo, 5790 - Vila Esperança, Maringá, PR, 87020-900, Brazil
- Federal University of Technology - Paraná, Av. Dos Pioneiros, 3131, Londrina, PR, 86036-370, Brazil
| | | | - Edvani Curti Muniz
- State University of Maringá, Av. Colombo, 5790 - Vila Esperança, Maringá, PR, 87020-900, Brazil
- Federal University of Technology - Paraná, Av. Dos Pioneiros, 3131, Londrina, PR, 86036-370, Brazil
- Federal University of Piauí, Campus Petrônio Portella, Bairro Ininga, Teresina, PI, 64049-550, Brazil
| | - Anderson Paulo Rudke
- Federal University of Minas Gerais, Av. Antônio Carlos, 6627, Belo Horizonte, MG, 31270-901, Brazil
| | - Rafaela Squizzato
- University of São Paulo, Rua do Matão, 1226 - Cidade Universitária, 05508-090, São Paulo, SP, Brazil
| | - Alexandra Beal
- State University of Londrina, Rodovia Celso Garcia Cid, Pr 445, Km 380, 86057-970, Londrina, Brazil
| | - Paulo Ricardo de Souza
- State University of Maringá, Av. Colombo, 5790 - Vila Esperança, Maringá, PR, 87020-900, Brazil
| | | | - Mônica Lopes Aguiar
- Federal University of São Carlos, Rod. Washington Luiz, Km 235, SP310, São Carlos, SP, 13565-905, Brazil
| | - Marcelino Luiz Gimenes
- State University of Maringá, Av. Colombo, 5790 - Vila Esperança, Maringá, PR, 87020-900, Brazil
| |
Collapse
|
45
|
Ma Y, Zhang Y, Cheng B, Feng F, Jiao H, Zhao X, Ma B, Yu Z. A review of the impact of outdoor and indoor environmental factors on human health in China. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2020; 27:42335-42345. [PMID: 32833174 DOI: 10.1007/s11356-020-10452-5] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/22/2020] [Accepted: 08/09/2020] [Indexed: 06/11/2023]
Abstract
The Intergovernmental Panel on Climate Change (IPCC) reported that global climate change has led to the increased occurrence of extreme weather events. In the context of global climate change, more evidence indicates that abnormal meteorological conditions could increase the risk of epidemiological mortality and morbidity. In this study, using a systematic review, we evaluated a total of 175 studies (including 158 studies on outdoor environment and 17 studies on indoor environment) to summarize the impact of outdoor and indoor environment on human health in China using the database of PubMed, Web of Science, the Cochrane Library, and Embase. In particular, we focused on studies about cardiovascular and respiratory mortality and morbidity, the prevalence of digestive system diseases, infectious diseases, and preterm birth. Most of the studies we reviewed were conducted in three of the metropolises of China, including Beijing, Guangzhou, and Shanghai. For the outdoor environment, we summarized the effects of climate change-related phenomena on health, including ambient air temperature, diurnal temperature range (DTR), temperature extremes, and so on. Studies on the associations between temperature and human health accounted for 79.7% of the total studies reviewed. We also screened out 19 articles to explore the effect of air temperature on cardiovascular diseases in different cities in the final meta-analysis. Besides, modern lifestyle involves a large amount of time spent indoors; therefore, indoor environment also plays an important role in human health. Nevertheless, studies on the impact of indoor environment on human health are rarely reported in China. According to the limited reports, adverse indoor environment could impose a high health risk on children.
Collapse
Affiliation(s)
- Yuxia Ma
- College of Atmospheric Sciences, Key Laboratory of Semi-Arid Climate Change, Ministry of Education, Lanzhou University, Lanzhou, 730000, China.
| | - Yifan Zhang
- College of Atmospheric Sciences, Key Laboratory of Semi-Arid Climate Change, Ministry of Education, Lanzhou University, Lanzhou, 730000, China
| | - Bowen Cheng
- College of Atmospheric Sciences, Key Laboratory of Semi-Arid Climate Change, Ministry of Education, Lanzhou University, Lanzhou, 730000, China
| | - Fengliu Feng
- College of Atmospheric Sciences, Key Laboratory of Semi-Arid Climate Change, Ministry of Education, Lanzhou University, Lanzhou, 730000, China
| | - Haoran Jiao
- College of Atmospheric Sciences, Key Laboratory of Semi-Arid Climate Change, Ministry of Education, Lanzhou University, Lanzhou, 730000, China
| | - Xiaoyan Zhao
- Neurology Department, General Hospital of the Chinese People's Liberation Army, Beijing, 100000, China
| | - Bingji Ma
- College of Atmospheric Sciences, Key Laboratory of Semi-Arid Climate Change, Ministry of Education, Lanzhou University, Lanzhou, 730000, China
| | - Zhiang Yu
- College of Atmospheric Sciences, Key Laboratory of Semi-Arid Climate Change, Ministry of Education, Lanzhou University, Lanzhou, 730000, China
| |
Collapse
|
46
|
Xie J, Zhu Y, Fan Y, Xie L, Xie R, Huang F, Cao L. Association between extreme heat and hospital admissions for cataract patients in Hefei, China. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2020; 27:45381-45389. [PMID: 32789637 PMCID: PMC7686207 DOI: 10.1007/s11356-020-10402-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/06/2020] [Accepted: 08/04/2020] [Indexed: 06/11/2023]
Abstract
Cataract is the first cause of blindness and the major cause of visual impairment worldwide. Under conditions of global warming, researchers have begun to give attention to the influence of increasing temperature on cataract patients. Our paper aimed to investigate the association between extreme heat and hospital admissions for cataract in Hefei, China. Based on data from the New Rural Cooperative Medical System and National Meteorological Information Center, we used a generalized additive model and a distributed lag nonlinear model to examine the relationship between extreme heat and hospitalizations for cataract, with consideration of cumulative and lagged effects. When current mean temperature was above 28 °C, each 1 °C rise was associated with a 4% decrease in the number of cataract admissions (RR = 0.96, 95% CI = 0.94-0.98). The cumulative relative risk over 11 days of lag was the lowest, which indicated that every 1 °C increase in mean temperature above 28 °C was associated with a 19% decrease in the number of hospital admissions for cataract (RR = 0.81, 95% CI = 0.75-0.88). In subgroup analyses, the negative association between extreme heat and hospital admissions for cataract was stronger among patients who were not admitted to provincial-level hospitals. In conclusion, this paper found that extreme heat was negatively associated with cataract hospitalizations in Hefei, providing useful information for hospitals and policymakers.
Collapse
Affiliation(s)
- Jingui Xie
- School of Management, Technical University of Munich, Bildungscampus 9, 74076 Heilbronn, Germany
| | - Yongjian Zhu
- School of Management, University of Science and Technology of China, 96 Jin Zhai Road, Bao He District, Hefei, 230026 Anhui People’s Republic of China
| | - Yiming Fan
- School of Management, University of Science and Technology of China, 96 Jin Zhai Road, Bao He District, Hefei, 230026 Anhui People’s Republic of China
| | - Linbo Xie
- Anhui Health College, 9 Xue Yuan Road, Jiao Yu Yuan District, Chizhou, 247099 Anhui People’s Republic of China
| | - Ruijin Xie
- Anhui Health College, 9 Xue Yuan Road, Jiao Yu Yuan District, Chizhou, 247099 Anhui People’s Republic of China
| | - Fengming Huang
- The First Affiliated Hospital of University of Science and Technology of China, 17 Lu Jiang Road, Lu Yang District, Hefei, 230001 Anhui People’s Republic of China
| | - Liqing Cao
- The First Affiliated Hospital of University of Science and Technology of China, 17 Lu Jiang Road, Lu Yang District, Hefei, 230001 Anhui People’s Republic of China
| |
Collapse
|
47
|
Ma Y, Zhou L, Chen K. Burden of cause-specific mortality attributable to heat and cold: A multicity time-series study in Jiangsu Province, China. ENVIRONMENT INTERNATIONAL 2020; 144:105994. [PMID: 32745780 DOI: 10.1016/j.envint.2020.105994] [Citation(s) in RCA: 39] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/24/2020] [Revised: 06/12/2020] [Accepted: 07/16/2020] [Indexed: 06/11/2023]
Abstract
Previous epidemiological studies primarily examined the temperature-related mortality burden of all-cause or cardiovascular diseases (CVD) and respiratory diseases. However, evidence on the heat- and cold-attributable mortality burden from other specific causes is limited. This paper aimed to systematically examine the association of heat and cold with a comprehensive spectrum of plausible temperature-related diseases, and to estimate the mortality burdens attributable to heat and cold. In the time-series study of 11 cities in Jiangsu, China, distributed lag non-linear models were applied to estimate city-specific temperature-mortality associations, and then meta-analysis was conducted to pool the estimates. A total of 1,368,648 cases of death were included in this study. Both extreme heat and cold were associated with increased mortality risks from all-cause, CVD, respiratory diseases, nervous diseases, and external causes. Short-term exposures to heat and cold were associated with excess burden of mortality for several specific diseases, accounting for 16.38% (95% eCI, 7.27-22.31%) for myocardial infarction (MI), 12.41% (95% eCI, 8.81-15.07%) for stroke, 27.97% (95% eCI, 18.42-33.35%) for hypertensive heart disease, 25.18% (95% eCI, 18.42-29.63%) for chronic obstructive pulmonary disease, and 28.46% (95% eCI: 4.93-33.57%) for Alzheimer's and dementia. Diabetes was only associated with extreme heat, with 4.61% (95% eCI, 0.13-7.13%) of diabetes mortality attributable to heat. In total, 11.98% (95% eCI, 10.46-13.08%) of mortality was attributable to heat and cold, with 3.49% (95% eCI, 2.87-4.00%) attributable to heat and 8.48% (95% eCI, 7.31-9.49%) attributable to cold, and about 64% of this overall temperature-related mortality burden was found in 6 aforementioned specific causes and about 10% of mortality burden in external causes. Extreme heat and/or cold are associated with increased risks of mortality from a wide range of causes, including previously identified causes in cardiorespiratory diseases and under-studied causes such as diabetes and Alzheimer's and dementia. Future research is needed to confirm the substantial mortality burden of heat and cold.
Collapse
Affiliation(s)
- Yiqun Ma
- Department of Environmental Health Sciences, Yale School of Public Health, New Haven, CT, USA; Yale Center on Climate Change and Health, Yale School of Public Health, New Haven, CT, USA.
| | - Lian Zhou
- College of Applied Meteorology, Nanjing University of Information Science and Technology, Nanjing, China; Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China.
| | - Kai Chen
- Department of Environmental Health Sciences, Yale School of Public Health, New Haven, CT, USA; Yale Center on Climate Change and Health, Yale School of Public Health, New Haven, CT, USA
| |
Collapse
|
48
|
Zhang S, Yang Y, Xie X, Li H, Han R, Hou J, Sun J, Qian ZM, Wu S, Huang C, Howard SW, Tian F, Deng W, Lin H. The effect of temperature on cause-specific mental disorders in three subtropical cities: A case-crossover study in China. ENVIRONMENT INTERNATIONAL 2020; 143:105938. [PMID: 32688157 DOI: 10.1016/j.envint.2020.105938] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/13/2020] [Revised: 06/28/2020] [Accepted: 06/30/2020] [Indexed: 06/11/2023]
Abstract
BACKGROUND Little is known about the association between ambient temperature and cause-specific mental disorders, especially in subtropical areas. OBJECTIVE To investigate the effect of ambient temperature on mental disorders in subtropical cities. METHOD Daily morbidity data for mental disorders in three Chinese cities (Shenzhen, Zhaoqing, and Huizhou) were collected from medical record systems of local psychiatric specialist hospitals, covering patients of all ages. Case-crossover design combined with a distributed lag nonlinear model (DLNM) was used to assess the nonlinear and delayed effects of temperatures on five specific mental disorders (affective disorders, anxiety, depressive disorders, schizophrenia, and organic mental disorders), with analyses stratified by gender and age. The temperature of minimum effect was used as the reference value to calculate estimates. RESULTS We observed inversed J-shaped exposure-response curves between temperature and mental morbidity and observed that low temperatures had a significant and prolonged effect on most types of mental disorders in the three cities. For example, the effect of the cold (2.5th percentile) on anxiety was consistently observed in the three cities with an odds ratio (OR) of 1.29 (95% CI: 1.06-1.57) in Zhaoqing, 1.26 (95% CI: 1.18-1.34) in Shenzhen, and 1.45 (95% CI: 1.17-1.81) in Huizhou. Low temperature was also associated with an increased risk of depressive disorders and schizophrenia. For the high temperature exposure (97.5th percentile), we only observed a significant, harmful effect on anxiety [OR = 1.30 (95% CI: 1.08, 1.58) in Shenzhen, OR = 1.16 (95% CI: 1.00, 1.34) in Zhaoqing], affective disorders [OR = 1.32 (95% CI: 1.08, 1.62) in Shenzhen], and schizophrenia [OR = 1.24 (95% CI: 1.03, 1.48) in Zhaoqing, OR = 1.03 (95% CI: 1.00, 1.06) in Huizhou]. CONCLUSIONS Our study suggests that both low and high temperatures might be important drivers of morbidity from mental disorders, and low temperature may have a more general and wide-spread effect on this cause-specific morbidity than high temperature.
Collapse
Affiliation(s)
- Shiyu Zhang
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Yin Yang
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - XinHui Xie
- Brain Function and Psychosomatic Medicine Institute, The Second People's Hospital of Huizhou, Huizhou, Guangdong, China
| | - Huan Li
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Rong Han
- Department of Psychiatry, Shenzhen Kangning Hospital, Shenzhen Mental Health Center, Shenzhen, Guangdong, China
| | - Jiesheng Hou
- The Third People's Hospital of Zhaoqing, Guangdong, China
| | - Jia Sun
- Department of Epidemiology and Biostatistics, College for Public Health & Social Justice, Saint Louis University, USA
| | - Zhengmin Min Qian
- Department of Epidemiology and Biostatistics, College for Public Health & Social Justice, Saint Louis University, USA
| | - Shaowei Wu
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, China
| | - Cunrui Huang
- Health Management and Policy, School of Public Health, Sun Yat-Sen University, Guangzhou, China
| | - Steven W Howard
- Department of Epidemiology and Biostatistics, College for Public Health & Social Justice, Saint Louis University, USA
| | - Fei Tian
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - WenFeng Deng
- Brain Function and Psychosomatic Medicine Institute, The Second People's Hospital of Huizhou, Huizhou, Guangdong, China.
| | - Hualiang Lin
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China.
| |
Collapse
|
49
|
Wang YY, Li Q, Guo Y, Zhou H, Wang QM, Shen HP, Zhang YP, Yan DH, Li S, Chen G, Zhou S, He Y, Yang Y, Peng ZQ, Wang HJ, Ma X. Ambient temperature and the risk of preterm birth: A national birth cohort study in the mainland China. ENVIRONMENT INTERNATIONAL 2020; 142:105851. [PMID: 32585501 DOI: 10.1016/j.envint.2020.105851] [Citation(s) in RCA: 27] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/11/2019] [Revised: 04/24/2020] [Accepted: 05/16/2020] [Indexed: 06/11/2023]
Abstract
BACKGROUND Little is known about the effect of ambient temperature on preterm birth, especially for the trimester-specific effects. OBJECTIVE To evaluate whether exposure to relatively low or high temperature during pregnancy is associated with increasing risk of preterm birth or not. METHOD We analysed the data of a birth cohort with 1,281,859 singleton pregnancies during 2013-2014 and matched the home address of each pregnant women to the model based daily meteorological and air pollution data. Then we used the Cox proportional hazard regression models with random effect to estimate the non-linear associations between exposure to relatively low or high temperature at each trimester of pregnancy and the risk of preterm birth, after controlling for air pollution and individual-level covariates. FINDING The overall preterm birth rate was 8.1% (104,493 preterm births). Exposure to relatively low or high temperatures during the entire pregnancy significantly increase the risk of preterm birth, with hazard ratios (HRs) [95% confidence intervals (CIs)] of 1.03 (95%CI: 1.02, 1.04) for relatively low (9.1 ℃, the 5th percentile) temperature and 1.55 (95%CI: 1.48, 1.61) for relatively high (23.0 ℃, the 95th percentile) temperature in comparison with the thresholds (12.0 ℃). Pregnant women at the early pregnancy (the 1st and 2nd trimester) are more susceptible to high temperatures while pregnant women at the late pregnancy (the 3rd trimester) are more susceptible to low temperatures. CONCLUSION These findings provide new evidence that exposure to relatively low or high temperatures during pregnancy increases the risk of preterm birth, which can serve as scientific evidence for prevention of preterm birth.
Collapse
Affiliation(s)
- Yuan-Yuan Wang
- National Human Genetic Resources Center, Beijing, China; National Research Institute for Family Planning, Beijing, China
| | - Qin Li
- National Human Genetic Resources Center, Beijing, China; Department of Maternal and Child Health, School of Public Health, Peking University, Beijing, China; Center for Reproductive Medical, Department of Obstetrics and Gynecology, Peking University Third Hospital, Beijing, China
| | - Yuming Guo
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Hong Zhou
- National Human Genetic Resources Center, Beijing, China; Department of Maternal and Child Health, School of Public Health, Peking University, Beijing, China
| | - Qiao-Mei Wang
- Department of Maternal and Child Health, National Health Commission of the PRC, Beijing, China
| | - Hai-Ping Shen
- Department of Maternal and Child Health, National Health Commission of the PRC, Beijing, China
| | - Yi-Ping Zhang
- Department of Maternal and Child Health, National Health Commission of the PRC, Beijing, China
| | - Dong-Hai Yan
- Department of Maternal and Child Health, National Health Commission of the PRC, Beijing, China
| | - Shanshan Li
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Gongbo Chen
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Shuang Zhou
- Department of Maternal and Child Health, School of Public Health, Peking University, Beijing, China
| | - Yuan He
- National Research Institute for Family Planning, Beijing, China
| | - Ying Yang
- National Research Institute for Family Planning, Beijing, China
| | - Zuo-Qi Peng
- National Research Institute for Family Planning, Beijing, China
| | - Hai-Jun Wang
- National Human Genetic Resources Center, Beijing, China; Department of Maternal and Child Health, School of Public Health, Peking University, Beijing, China.
| | - Xu Ma
- National Human Genetic Resources Center, Beijing, China; National Research Institute for Family Planning, Beijing, China.
| |
Collapse
|
50
|
Niu Y, Gao Y, Yang J, Qi L, Xue T, Guo M, Zheng J, Lu F, Wang J, Liu Q. Short-term effect of apparent temperature on daily emergency visits for mental and behavioral disorders in Beijing, China: A time-series study. THE SCIENCE OF THE TOTAL ENVIRONMENT 2020; 733:139040. [PMID: 32446053 PMCID: PMC7298617 DOI: 10.1016/j.scitotenv.2020.139040] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/20/2020] [Revised: 04/23/2020] [Accepted: 04/25/2020] [Indexed: 05/06/2023]
Abstract
BACKGROUND The relationship between temperature and mental disorders is still unclear. This study aims to assess the short-term effect of apparent temperature (AT) on daily emergency visits of mental and behavioral disorders (MDs) in Beijing, China. METHODS Daily counts of emergency visits related to MDs in Beijing from 2016 to 2018 were obtained. A quasi-Poisson generalized additive model combined with a distributed lag non-linear model (DLNM) was applied to analyze the lag-exposure-response relationship between AT and emergency admissions related to MDs. Sunshine duration, precipitation, PM2.5, SO2, O3, time trend, day of week and holiday were adjusted in the model. RESULTS Total daily emergency visits for MDs during the study period were 16,606. With the reference of -2.4 °C (temperature with the minimum emergency visit risk), the single day effects of low AT (-8.6 °C, 10th percentile) and high AT (9.2 °C, 90th percentile) on MDs emergency visits reached a relative risk peak of 1.043 (95%CI: 1.017-1.069) on lag day 4 and 1.105 (95%CI: 1.006-1.215) on lag day 1, respectively. The greatest cumulative effect of high AT emerged on lag 0-5 days and reached a relative risk of 1.435 (95%CI: 1.048-1.965), while no significant cumulative effect of low AT was observed. There was a significant effect of high AT on emergency visits of MDs due to psychoactive substance use and male patients. CONCLUSIONS Both low and high AT are demonstrated to be the significant risk factors of MDs, which highlights the need of strengthening the health interventions, patient medical services and early warning for patients.
Collapse
Affiliation(s)
- Yanlin Niu
- State Key Laboratory of Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China; Beijing Center for Disease Prevention and Control, Institute for Nutrition and Food Hygiene, Beijing 100013, China; Research Center for Preventive Medicine of Beijing, Beijing 100013, China
| | - Yuan Gao
- State Key Laboratory of Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - Jun Yang
- Institute for Environmental and Climate Research, Jinan University, Guangzhou 511443, China; Guangdong-Hongkong-Macau Joint Laboratory of Collaborative Innovation for Environmental Quality, Guangzhou 511443, China
| | - Li Qi
- State Key Laboratory of Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - Tao Xue
- Institute of Reproductive and Child Health, Ministry of Health Key Laboratory of Reproductive Health and Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - Moning Guo
- Beijing Municipal Health Commission Information Center, Beijing 100034, China; Beijing Municipal Health Commission Policy Research Center, Beijing 100034, China
| | - Jianpeng Zheng
- Beijing Municipal Health Commission Information Center, Beijing 100034, China; Beijing Municipal Health Commission Policy Research Center, Beijing 100034, China
| | - Feng Lu
- Beijing Municipal Health Commission Information Center, Beijing 100034, China; Beijing Municipal Health Commission Policy Research Center, Beijing 100034, China
| | - Jun Wang
- State Key Laboratory of Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - Qiyong Liu
- State Key Laboratory of Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China.
| |
Collapse
|