101
|
Dai Y, Liu T. Spatiotemporal mechanism of urban heat island effects on human health—Evidence from Tianjin city of China. Front Ecol Evol 2022. [DOI: 10.3389/fevo.2022.1010400] [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 increasingly intensifying global warming and urban heat island (UHIs) are seriously damaging the physical and mental health of urban residents. However, the spatiotemporal evolution of how high temperatures affect human health in megacities remains unclear. Therefore, in this study, with Tianjin during 2006–2020 as an example, and based on data from meteorological stations, Landsat remote sensing images, and point of interest big data, this study applied hot- and cold-spot statistics and remote sensing retrieval in numerical modeling and established an appraisal system to assess how and to what extent UHIs affect resident health. The results showed that the overall influence of UHIs on respiratory and cardiovascular diseases and mental health increased to 373 km2 in area and two levels in intensity; the influence was mainly concentrated in the downtown area, with a rising influence level. Owing to the dual-core structure of the city, the influence was distributed along the main traffic lines in Binhai New District, having a strong influence in the area mainly concentrated in the southeastern part. Many cold spots clustered in the central urban area to cool the thermal environment: the cooled area was 6.5 times larger than the area of intense cooling influence. Our study provides a method for identifying health risks in urban spaces, lays a theoretical foundation to improve the planning of urban green space systems, and offers some decision-making guidance for the planning of healthy cities.
Collapse
|
102
|
Machado SA, Pasquarelli-do-Nascimento G, da Silva DS, Farias GR, de Oliveira Santos I, Baptista LB, Magalhães KG. Browning of the white adipose tissue regulation: new insights into nutritional and metabolic relevance in health and diseases. Nutr Metab (Lond) 2022; 19:61. [PMID: 36068578 PMCID: PMC9446768 DOI: 10.1186/s12986-022-00694-0] [Citation(s) in RCA: 61] [Impact Index Per Article: 30.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2022] [Accepted: 08/19/2022] [Indexed: 12/11/2022] Open
Abstract
Adipose tissues are dynamic tissues that play crucial physiological roles in maintaining health and homeostasis. Although white adipose tissue and brown adipose tissue are currently considered key endocrine organs, they differ functionally and morphologically. The existence of the beige or brite adipocytes, cells displaying intermediary characteristics between white and brown adipocytes, illustrates the plastic nature of the adipose tissue. These cells are generated through white adipose tissue browning, a process associated with augmented non-shivering thermogenesis and metabolic capacity. This process involves the upregulation of the uncoupling protein 1, a molecule that uncouples the respiratory chain from Adenosine triphosphate synthesis, producing heat. β-3 adrenergic receptor system is one important mediator of white adipose tissue browning, during cold exposure. Surprisingly, hyperthermia may also induce beige activation and white adipose tissue beiging. Physical exercising copes with increased levels of specific molecules, including Beta-Aminoisobutyric acid, irisin, and Fibroblast growth factor 21 (FGF21), which induce adipose tissue browning. FGF21 is a stress-responsive hormone that interacts with beta-klotho. The central roles played by hormones in the browning process highlight the relevance of the individual lifestyle, including circadian rhythm and diet. Circadian rhythm involves the sleep-wake cycle and is regulated by melatonin, a hormone associated with UCP1 level upregulation. In contrast to the pro-inflammatory and adipose tissue disrupting effects of the western diet, specific food items, including capsaicin and n-3 polyunsaturated fatty acids, and dietary interventions such as calorie restriction and intermittent fasting, favor white adipose tissue browning and metabolic efficiency. The intestinal microbiome has also been pictured as a key factor in regulating white tissue browning, as it modulates bile acid levels, important molecules for the thermogenic program activation. During embryogenesis, in which adipose tissue formation is affected by Bone morphogenetic proteins that regulate gene expression, the stimuli herein discussed influence an orchestra of gene expression regulators, including a plethora of transcription factors, and chromatin remodeling enzymes, and non-coding RNAs. Considering the detrimental effects of adipose tissue browning and the disparities between adipose tissue characteristics in mice and humans, further efforts will benefit a better understanding of adipose tissue plasticity biology and its applicability to managing the overwhelming burden of several chronic diseases.
Collapse
Affiliation(s)
- Sabrina Azevedo Machado
- Laboratory of Immunology and Inflammation, Department of Cell Biology, University of Brasilia, Brasília, DF, Brazil
| | | | - Debora Santos da Silva
- Laboratory of Immunology and Inflammation, Department of Cell Biology, University of Brasilia, Brasília, DF, Brazil
| | - Gabriel Ribeiro Farias
- Laboratory of Immunology and Inflammation, Department of Cell Biology, University of Brasilia, Brasília, DF, Brazil
| | - Igor de Oliveira Santos
- Laboratory of Immunology and Inflammation, Department of Cell Biology, University of Brasilia, Brasília, DF, Brazil
| | - Luana Borges Baptista
- Laboratory of Immunology and Inflammation, Department of Cell Biology, University of Brasilia, Brasília, DF, Brazil
| | - Kelly Grace Magalhães
- Laboratory of Immunology and Inflammation, Department of Cell Biology, University of Brasilia, Brasília, DF, Brazil.
| |
Collapse
|
103
|
Song J, Qin W, Pan R, Yi W, Song S, Cheng J, Su H. A global comprehensive analysis of ambient low temperature and non-communicable diseases burden during 1990-2019. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2022; 29:66136-66147. [PMID: 35501439 DOI: 10.1007/s11356-022-20442-4] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/10/2021] [Accepted: 04/21/2022] [Indexed: 06/14/2023]
Abstract
Climate change and health are inextricably linked, especially the role of ambient temperature. This study aimed to analyze the non-communicable disease (NCD) burden attributable to low temperature globally, regionally, and temporally using data from the Global Burden of Disease (GBD) study 2019. Globally, in 2019, low temperature was responsible for 5.42% DALY and 7.18% death of NCDs, representing the age-standardized disability-adjusted life years (DALY) and death rates (per 100,000 population) of 359.6 (95% uncertainty intervals (UI): 306.09, 416.88) and 21.36 (95% UI:18.26, 24.74). Ischemic heart disease was the first leading cause of DALY and death resulting from low temperature, followed by stroke. However, age-standardized DALY and death rates attributable to low temperature have exhibited wide variability across regions, with the highest in Central Asia and Eastern Europe and the lowest in Caribbean and Western sub-Saharan Africa. During the study period (1990-2019), there has been a significant decrease in the burden of NCDs attributable to low temperature, but progress has been uneven across countries, whereas nations exhibiting high sociodemographic index (SDI) declined more significantly compared with low SDI nations. Notably, three nations, including Uzbekistan, Tajikistan, and Lesotho, had the maximum NCDs burden attributed to low temperature and displayed an upward trend. In conclusion, ambient low temperature contributes to substantial NCD burden with notable geographical variations.
Collapse
Affiliation(s)
- Jian Song
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, China
| | - Wei Qin
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, China
- Lu'an Center for Disease Control and Prevention, Lu'an, 237000, Anhui, China
| | - Rubing Pan
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, China
| | - Weizhuo Yi
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, China
| | - Shasha Song
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, China
| | - Jian Cheng
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, China
| | - Hong Su
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, China.
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, China.
| |
Collapse
|
104
|
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
|
105
|
Macassa G, Ribeiro AI, Marttila A, Stål F, Silva JP, Rydback M, Rashid M, Barros H. Public Health Aspects of Climate Change Adaptation in Three Cities: A Qualitative Study. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:10292. [PMID: 36011923 PMCID: PMC9408380 DOI: 10.3390/ijerph191610292] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/31/2022] [Revised: 08/10/2022] [Accepted: 08/17/2022] [Indexed: 06/15/2023]
Abstract
Climate change presents an unprecedented public health challenge as it has a great impact on population health outcomes across the global population. The key to addressing these health challenges is adaptation carried out in cities through collaboration between institutions, including public health ones. Through semi-structured interviews (n = 16), this study investigated experiences and perceptions of what public health aspects are considered by urban and public health planners and researchers when planning climate change adaptation in the coastal cities of Söderhamn (Sweden), Porto (Portugal) and Navotas (the Philippines). Results of the thematic analysis indicated that participating stakeholders were aware of the main climate risks threatening their cities (rising water levels and flooding, extreme temperatures, and air pollution). In addition, the interviewees talked about collaboration with other sectors, including the public health sector, in implementing climate change adaptation plans. However, the inclusion of the public health sector as a partner in the process was identified in only two cities, Navotas and Porto. Furthermore, the study found that there were few aspects pertaining to public health (water and sanitation, prevention of heat-related and water-borne diseases, and prevention of the consequences associated with heat waves in vulnerable groups such as children and elderly persons) in the latest climate change adaptation plans posted on each city's website. Moreover, participants pointed to different difficulties: insufficient financial resources, limited intersectoral collaboration for climate change adaptation, and lack of involvement of the public health sector in the adaptation processes, especially in one of the cities in which climate change adaptation was solely the responsibility of the urban planners. Studies using larger samples of stakeholders in larger cities are needed to better understand why the public health sector is still almost absent in efforts to adapt to climate change.
Collapse
Affiliation(s)
- Gloria Macassa
- Department of Public Health and Sports Science, Faculty of Occupational and Health Sciences, University of Gävle, Kungsbacksvägen 47, 80176 Gävle, Sweden
- EPIUnit–Instituto de Saude Publica, Universidade do Porto, Rua das Taipas 135, 4050-600 Porto, Portugal
- Laboratório para a Investigação Integrativa e Translacional em Saúde Populacional (ITR), Rua das Taipas 135, 4050-600 Porto, Portugal
| | - Ana Isabel Ribeiro
- EPIUnit–Instituto de Saude Publica, Universidade do Porto, Rua das Taipas 135, 4050-600 Porto, Portugal
- Laboratório para a Investigação Integrativa e Translacional em Saúde Populacional (ITR), Rua das Taipas 135, 4050-600 Porto, Portugal
- Departamento de Ciências da Saúde Pública e Forenses e Educação Médica, Faculdade de Medicina, Universidade do Porto, 4200-450 Porto, Portugal
| | - Anneli Marttila
- Department of Public Health and Sports Science, Faculty of Occupational and Health Sciences, University of Gävle, Kungsbacksvägen 47, 80176 Gävle, Sweden
| | - Frida Stål
- Department of Public Health and Sports Science, Faculty of Occupational and Health Sciences, University of Gävle, Kungsbacksvägen 47, 80176 Gävle, Sweden
| | - José Pedro Silva
- EPIUnit–Instituto de Saude Publica, Universidade do Porto, Rua das Taipas 135, 4050-600 Porto, Portugal
- Laboratório para a Investigação Integrativa e Translacional em Saúde Populacional (ITR), Rua das Taipas 135, 4050-600 Porto, Portugal
| | - Michelle Rydback
- Department of Business and Economic Studies, University of Gävle, Kungsbacksvägen 47, 80176 Gävle, Sweden
| | - Mamunur Rashid
- Department of Public Health and Sports Science, Faculty of Occupational and Health Sciences, University of Gävle, Kungsbacksvägen 47, 80176 Gävle, Sweden
| | - Henrique Barros
- EPIUnit–Instituto de Saude Publica, Universidade do Porto, Rua das Taipas 135, 4050-600 Porto, Portugal
- Laboratório para a Investigação Integrativa e Translacional em Saúde Populacional (ITR), Rua das Taipas 135, 4050-600 Porto, Portugal
- Departamento de Ciências da Saúde Pública e Forenses e Educação Médica, Faculdade de Medicina, Universidade do Porto, 4200-450 Porto, Portugal
| |
Collapse
|
106
|
Tai Y, Obayashi K, Yamagami Y, Saeki K. Inverse Association of Skin Temperature With Ambulatory Blood Pressure and the Mediation of Skin Temperature in Blood Pressure Responses to Ambient Temperature. Hypertension 2022; 79:1845-1855. [PMID: 35574922 DOI: 10.1161/hypertensionaha.122.19190] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
BACKGROUND The inverse association between ambient temperature and blood pressure (BP) has been investigated in the context of excess cardiovascular mortality in winter. However, the role of skin temperature (ST), which reflects our external and internal thermal environments, in BP regulation remains unclear. Therefore, we examined the association between ST and ambulatory BP and the mediation of ST in BP responses to ambient temperature in real-life settings. METHODS We conducted a longitudinal analysis using repeated measurements of ambulatory BP and ST for 48 hours (30 711 daytime readings and 17 382 nighttime readings) among 584 older adults between October and March (2012-2014). Linear mixed-effect models were used to examine the association of distal (mean of wrist and ankle) and proximal (abdomen) ST with systolic BP. The mediation of ST in BP responses to ambient temperature was examined using path analysis. RESULTS Distal and proximal STs were significantly associated with systolic BP during the daytime (regression coefficients: -4.27 mm Hg [95% CI, -4.58 to -3.96] and -2.74 mm Hg [95% CI, -3.14 to -2.56] per SD of ST, respectively), independent of potential confounders. The significant associations also existed during nighttime. The mediation effect of distal ST was 7.1 times higher than that of proximal ST during daytime, while those of distal and proximal STs during nighttime were almost identical. CONCLUSIONS ST, especially in distal regions, was inversely associated with ambulatory BP. Our results have the potential for application to interventional studies targeting ST regulation to reduce excess cardiovascular deaths in winter.
Collapse
Affiliation(s)
- Yoshiaki Tai
- Department of Epidemiology, Nara Medical University School of Medicine, Japan
| | - Kenji Obayashi
- Department of Epidemiology, Nara Medical University School of Medicine, Japan
| | - Yuki Yamagami
- Department of Epidemiology, Nara Medical University School of Medicine, Japan
| | - Keigo Saeki
- Department of Epidemiology, Nara Medical University School of Medicine, Japan
| |
Collapse
|
107
|
Huang Y, Yang J, Chen J, Shi H, Lu X. Association between ambient temperature and age-specific mortality from the elderly: Epidemiological evidence from the Chinese prefecture with most serious aging. ENVIRONMENTAL RESEARCH 2022; 211:113103. [PMID: 35278469 DOI: 10.1016/j.envres.2022.113103] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/02/2021] [Revised: 02/28/2022] [Accepted: 03/07/2022] [Indexed: 05/16/2023]
Abstract
Older people are main susceptible group affected by non-optimal temperature. The aim of the study was to determine how mortality of older people with different ages are affected by temperatures. For this study, we collected data of all-cause death of 256,037 people aged between 65 and 104 years of age from a prefecture located in the north subtropical area with most serious aging rate in 2000, 2010 and 2020 in China. A distributed lag nonlinear model under different age groups was used to estimate non-optimal temperature associations to mortality. The results revealed: (1) With increasing age, older people were more likely to die during moderate low temperature, the proportion of attributable fraction of moderate low temperature in all temperature gradually increased with age. (2) Moderate low temperature could be divided into two parts, the lower part caused most death at age 65-79 and the higher part was not so dangerous, while for age 80+, preventive actions should be taken for both parts. (3) A leveling-off and deceleration phenomenon was observed at age 95-99 for low temperature, but not 100-104, it may be virtually a consequence of "harvesting effect" in that susceptible and common people have died before age 95, it was coincidence with mortality deceleration at extreme old ages found by demographic scholars over the past 200 years. (4) Heat wave had much higher relative risk than cold spell compared with moderate high and low temperature because of steeper slope of relative risk at the period of moderate-extreme conversion of high temperature, the older people should pay more attention to weather with moderate-extreme conversion of high temperature. Furthermore, our findings could help improve the understanding of non-optimal temperature on health of older people and support the development of response strategies for different seasons at different ages.
Collapse
Affiliation(s)
- Yi Huang
- School of Geographic Sciences, Nantong University, Nantong, 226000, China.
| | - Jun Yang
- School of Public Health, Guangzhou Medical University, Guangzhou, 511436, China
| | - Jianwei Chen
- School of Geographic Sciences, Nantong University, Nantong, 226000, China
| | - Hujing Shi
- School of Geographic Sciences, Nantong University, Nantong, 226000, China
| | - Xianjing Lu
- School of Geographic Sciences, Nantong University, Nantong, 226000, China
| |
Collapse
|
108
|
Tian Y, Xiang M, Peng J, Duan Y, Wen Y, Huang S, Li L, Yu S, Cheng J, Zhang X, Wang P. Modification effects of seasonal and temperature variation on the association between exposure to nitrogen dioxide and ischemic stroke onset in Shenzhen, China. INTERNATIONAL JOURNAL OF BIOMETEOROLOGY 2022; 66:1747-1758. [PMID: 35750990 DOI: 10.1007/s00484-022-02315-0] [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: 12/24/2021] [Revised: 05/16/2022] [Accepted: 06/14/2022] [Indexed: 06/15/2023]
Abstract
The independent associations of extreme temperature and ambient air pollutant with the admission to hospital and mortality of ischemic stroke have been widely investigated. However, knowledge about the modification effects of variation in season and temperature on the association between exposure to nitrogen dioxide (NO2) and ischemic stroke onset is still limited. This study purposed to explore the effect of NO2 on daily ischemic stroke onset modified by season and ambient temperature, and identify the potential population that susceptible to ischemic stroke onset connected with NO2 and ambient temperature. Data on daily ischemic stroke counts, weather conditions, and ambient air pollutant concentrations in Shenzhen were collected between January 1, 2008, and December 31, 2014. The seasonal effect on the NO2-associated onset was measured by a distributed-lag linear model. Furthermore, a generalized additive model that incorporated with stratification analyses was used to calculate the interactive effects between NO2 and ambient temperature. During the winter, the average percentage increase in daily ischemic stroke onset for each 10 μg/m3 increment in NO2 concentration on lagged 2 days was 3.05% (95% CI: 1.31-4.82%), while there was no statistically significant effect of NO2 during summer. And the low-temperature days ([Formula: see text] mean temperature), with a 2.23% increase in incidence (95% CI: 1.18-3.29%) for the same concentration increase in NO2, were significant higher than high temperature days ([Formula: see text] mean temperature). The modification effects of temperature on the study association were more pronounced in individuals aged 65 years or more and in males. The adverse health effects of NO2 on ischemic stroke are more pronounced during winter or low temperature periods. Elderly adults or males presented higher risks with these exposures.
Collapse
Affiliation(s)
- Yuchen Tian
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Ming Xiang
- Department of Hospital Infection Control, Wuhan No. 1 Hospital (Wuhan Hospital of Integrated Traditional Chinese and Western Medicine), Wuhan, Hubei, China
| | - Ji Peng
- Shenzhen Center for Chronic Disease Control, 2021 Buxin Road, Shenzhen, 518020, Guangdong, China
| | - Yanran Duan
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Ying Wen
- Shenzhen Center for Disease Control and Prevention, 8 Longyuan Rd, Shenzhen, 518055, Guangdong, China
| | - Suli Huang
- Shenzhen Center for Disease Control and Prevention, 8 Longyuan Rd, Shenzhen, 518055, Guangdong, China
| | - Lei Li
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Shuyuan Yu
- Shenzhen Center for Disease Control and Prevention, 8 Longyuan Rd, Shenzhen, 518055, Guangdong, China
| | - Jinquan Cheng
- Shenzhen Center for Disease Control and Prevention, 8 Longyuan Rd, Shenzhen, 518055, Guangdong, China.
| | - Xia Zhang
- The First People's Hospital of Jingzhou, 40 Daqing Rd, Jingzhou, 434000, Hubei, China.
| | - Peng Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.
| |
Collapse
|
109
|
Jiang Y, Hu J, Peng L, Li H, Ji JS, Fang W, Yan H, Chen J, Wang W, Xiang D, Su X, Yu B, Wang Y, Xu Y, Wang L, Li C, Chen Y, Zhao D, Kan H, Ge J, Huo Y, Chen R. Non-optimum temperature increases risk and burden of acute myocardial infarction onset: A nationwide case-crossover study at hourly level in 324 Chinese cities. EClinicalMedicine 2022; 50:101501. [PMID: 35755601 PMCID: PMC9218136 DOI: 10.1016/j.eclinm.2022.101501] [Citation(s) in RCA: 21] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/27/2022] [Revised: 05/10/2022] [Accepted: 05/20/2022] [Indexed: 12/03/2022] Open
Abstract
BACKGROUND The associations of ambient temperature with acute myocardial infarction (AMI) have seldom been examined based on the time of symptom onset. METHODS We conducted a time-stratified case-crossover study among 1,046,773 eligible AMI patients from 2,093 hospitals in 324 Chinese cities from January 1, 2015 to June 30, 2021, after excluding those transferred from other hospitals or having not reported the time of symptom onset. Hourly exposure to ambient temperature was calculated as multiple moving 24-h averages (days) before hourly onset of AMI symptoms. Conditional logistic regression and distributed lag non-linear models with a duration of 0-21 days were used to estimate the cumulative associations of non-optimum temperature with AMI onset and the corresponding disease burden nationally. Subgroup analyses by region and period were conducted. Specifically, cities with and without centralized heating system were classified into heating and non-heating regions, respectively. The whole year in heating region was divided into heating and non-heating periods based on the duration of centralized heating in each city. FINDINGS Almost monotonically increasing risks were observed for both overall AMI and its two subtypes when ambient temperature declined. The effects of extremely low temperature occurred immediately on the concurrent day, and lasted up to almost 3 weeks. The excess risks of AMI onset associated with non-optimum ambient temperatures were observed during the whole year in the non-heating region and non-heating period in the heating region, but not during heating period. Specifically, odds ratios of AMI onset associated with extremely low temperature cumulated over 0-21 days were 1.24 (95% CI: 1.13-1.37), 1.46 (95% CI: 1.20-1.76), and 1.62 (95% CI: 1.46-1.81) in the heating region during non-heating period, in the non-heating region during winter and non-winter period, respectively. The heat effects on AMI onset were very modest and transient. Totally, 13.26% of AMI cases could be attributable to non-optimum temperatures nationally. The burden of AMI attributable to non-optimum temperature was much smaller in heating region than in non-heating region. Somewhat stronger effects were observed in females and patients aged older than 65. INTERPRETATION This nationwide study provided robust evidence that non-optimum ambient temperature may significantly trigger AMI onset, and for the first time estimated the disease burden after accounting for spatial and seasonal heterogeneity. Centralized heating might substantially mitigate AMI burden due to non-optimum temperature. FUNDING Shanghai International Science and Technology Partnership Project, National Natural Science Foundation of China, Talent Training Program of Zhongshan Hospital, Fudan University.
Collapse
Affiliation(s)
- Yixuan Jiang
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai, China
| | - Jialu Hu
- Department of Cardiology, Zhongshan Hospital, Fudan University, Shanghai Institute of Cardiovascular Diseases, Shanghai, China
| | - Li Peng
- Shanghai Key Laboratory of Meteorology and Health, Shanghai Meteorological Bureau, Shanghai, China
| | - Huichu Li
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - John S. Ji
- Vanke School of Public Health, Tsinghua University, Beijing, China
| | - Weiyi Fang
- Department of Cardiology, Huadong Hospital Affiliated to Fudan University, Shanghai, China
| | - Hongbing Yan
- Center for Coronary Artery Diseases, Chinese Academy of Medical Sciences in Shenzhen, Shenzhen, China
- Center for Coronary Artery Diseases, Chinese Academy of Medical Sciences, Beijing, China
| | - Jiyan Chen
- Department of Cardiology, Guangdong Provincial People's Hospital, Guangzhou, China
| | - Weimin Wang
- Department of Cardiology, Peking University People's Hospital, Beijing, China
| | - Dingcheng Xiang
- Department of Cardiology, General Hospital of Southern Theater Command, Guangzhou, China
| | - Xi Su
- Department of Cardiology, Wuhan ASIA General Hospital, Wuhan, China
| | - Bo Yu
- Department of Cardiology, The 2nd Affiliated Hospital of Harbin Medical University, Harbin, China
- The Key Laboratory of Myocardial Ischemia, Chinese Ministry of Education, Harbin, China
| | - Yan Wang
- Department of Cardiology, Xiamen Cardiovascular Hospital Xiamen University, Xiamen, China
| | - Yawei Xu
- Department of Cardiology, Shanghai Tenth People's Hospital, Shanghai, China
| | - Lefeng Wang
- Heart Center and Beijing Key Laboratory of Hypertension, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China
| | - Chunjie Li
- Department of Emergency, Tianjin Chest Hospital, Tianjin, China
| | - Yundai Chen
- Department of Cardiology, Chinese PLA General Hospital, Beijing, China
| | - Dong Zhao
- Department of Epidemiology, Beijing An Zhen Hospital, Capital Medical University, Beijing Institute of Heart, Lung and Blood Vessel Diseases, Beijing, China
| | - Haidong Kan
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai, China
- IRDR ICoE on Risk Interconnectivity and Governance on Weather/Climate Extremes Impact and Public Health, Fudan University, Shanghai, China
| | - Junbo Ge
- Department of Cardiology, Zhongshan Hospital, Fudan University, Shanghai Institute of Cardiovascular Diseases, Shanghai, China
- Corresponding author at: Department of Cardiology, Zhongshan Hospital, Fudan University, Shanghai Institute of Cardiovascular Diseases, 180 Fenglin Road, Shanghai 200032, China.
| | - Yong Huo
- Department of Cardiology, Peking University First Hospital, Beijing, China
- Corresponding author at: Department of Cardiology, Peking University First Hospital, No.8 Xishiku St., Xicheng District, Beijing 100034, China.
| | - Renjie Chen
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai, China
- IRDR ICoE on Risk Interconnectivity and Governance on Weather/Climate Extremes Impact and Public Health, Fudan University, Shanghai, China
- Corresponding author at: Department of Environmental Health, School of Public Health, Fudan University, P.O. Box 249, 130 Dong-An Road, Shanghai 200032, China.
| |
Collapse
|
110
|
The inequality labor loss risk from future urban warming and adaptation strategies. Nat Commun 2022; 13:3847. [PMID: 35794093 PMCID: PMC9259578 DOI: 10.1038/s41467-022-31145-2] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2021] [Accepted: 05/31/2022] [Indexed: 11/09/2022] Open
Abstract
Heat-induced labor loss is a major economic cost related to climate change. Here, we use hourly heat stress data modeled with a regional climate model to investigate the heat-induced labor loss in 231 Chinese cities. Results indicate that future urban heat stress is projected to cause an increase in labor losses exceeding 0.20% of the total account gross domestic product (GDP) per year by the 2050s relative to the 2010s. In this process, certain lower-paid sectors could be disproportionately impacted. The implementation of various urban adaptation strategies could offset 10% of the additional economic loss per year and help reduce the inequality-related impact on lower-paid sectors. So future urban warming can not only damage cities as a whole but can also contribute to income inequality. The implication of adaptation strategies should be considered in regard to not only cooling requirements but also environmental justice. New study investigates heat-induced labor loss in 231 Chinese cities, finding that lower-paid sectors could be disproportionately affected in coming decades, although adaptation measures may mitigate inequality related impacts.
Collapse
|
111
|
Fadel M, Sembajwe G, Tripodi D, Bonneterre V, Leclerc A, Roquelaure Y, Petit A, Descatha A. Association between reported work in cold environments and stroke occurrence in the CONSTANCES cohort: a prospective study. BMJ Open 2022; 12:e054198. [PMID: 35793912 PMCID: PMC9260782 DOI: 10.1136/bmjopen-2021-054198] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
Abstract
OBJECTIVE Cold environments are a potential risk factor for stroke. The aim of this study was to investigate the association between performing work tasks in cold environments and the occurrence of a first stroke event. METHODS From the French population-based cohort CONSTANCES ('Cohorte des consultants des Centres d'examens de santé' in French), we collected data from baseline questionnaires along with medical interviews on cardiovascular risk factors and reported exposure to cold temperatures (<10°C) at work. Exposures were categorised as rare (<2 hours/day), often (≥2 and <4 hours/day) and almost always (≥4 hours/day). Incidence of stroke was retrieved from the French National Health database. Bivariate and multivariable logistic regression models were used to assess the association between working in cold environments and the incidence of stroke. Stratified analyses on stroke types were also conducted. RESULTS There were 160 782 participants and 224 strokes (168 ischaemic and 76 haemorrhagic) included in our study. No significant increase in stroke was found for working in cold environments; the adjusted OR for often or almost always exposed was 1.14 (95% CI 0.46 to 2.84). CONCLUSIONS This study did not reveal a significant excess risk of stroke for occupational exposures to low temperatures. Further studies are needed to better assess the effect of preventive measures and very low temperature on occurrence of cardiovascular diseases.
Collapse
Affiliation(s)
- Marc Fadel
- Irset, UMR_S 1085, CHU Angers, EHESP, Université d'Angers, Angers, France
| | - Grace Sembajwe
- Department of Occupational Medicine, Epidemiology and Prevention, Donald and Barbara Zucker School of Medicine, Hosftra University, Northwell Health, New York City, New York, USA
| | - Dominique Tripodi
- Occupational Medicine and Environment Health, Occupational Health Innovation Research Laboratory, CHU Nantes, Nantes, France
- Laboratoire de Psychologie des Pays de la Loire, LPPL EA 4638, University of Nantes, Nantes, France
| | - Vincent Bonneterre
- CNRS TIMC-IMAG, Grenoble INP, University of Grenoble Alpes, Grenoble, France
| | | | - Yves Roquelaure
- Irset, UMR_S 1085, CHU Angers, EHESP, Université d'Angers, Angers, France
| | - Audrey Petit
- Irset, UMR_S 1085, CHU Angers, EHESP, Université d'Angers, Angers, France
| | - Alexis Descatha
- Irset, UMR_S 1085, CHU Angers, EHESP, Université d'Angers, Angers, France
- Department of Occupational Medicine, Epidemiology and Prevention, Donald and Barbara Zucker School of Medicine, Hosftra University, Northwell Health, New York City, New York, USA
- Poison Control Center (CAPTV), CDC, CHU Angers Pôle A Vasculaire, Angers, France
| |
Collapse
|
112
|
Liu J, Liu T, Burkart KG, Wang H, He G, Hu J, Xiao J, Yin P, Wang L, Liang X, Zeng F, Stanaway JD, Brauer M, Ma W, Zhou M. Mortality burden attributable to high and low ambient temperatures in China and its provinces: Results from the Global Burden of Disease Study 2019. THE LANCET REGIONAL HEALTH. WESTERN PACIFIC 2022; 24:100493. [PMID: 35756888 PMCID: PMC9213765 DOI: 10.1016/j.lanwpc.2022.100493] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/09/2023]
Abstract
BACKGROUND Non-optimal temperatures are associated with mortality risk, yet the heterogeneity of temperature-attributable mortality burden across subnational regions in a country was rarely investigated. We estimated the mortality burden related to non-optimal temperatures across all provinces in China in 2019. METHODS The global daily temperature data were obtained from the ERA5 reanalysis dataset. The daily mortality data and exposure-response curves between daily temperature and mortality for 176 individual causes of death were obtained from the Global Burden of Disease Study 2019 (GBD 2019). We estimated the population attributable fraction (PAF) based on the exposure-response curves, daily gridded temperature, and population. We calculated the cause- and province-specific mortality burden based on PAF and disease burden data from the GBD 2019. FINDINGS We estimated that 593·9 (95% UI:498·8, 704·6) thousand deaths were attributable to non-optimal temperatures in China in 2019 (PAF=5·58% [4·93%, 6·28%]), with 580·8 (485·7, 690·1) thousand cold-related deaths and 13·9 (7·7, 23·2) thousand heat-related deaths. The majority of temperature-related deaths were from cardiovascular diseases (399·7 [322·8, 490·4] thousand) and chronic respiratory diseases (177·4 [141·4, 222·3] thousand). The mortality burdens were observed significantly spatial heterogeneity for both high and low temperatures. For instance, the age-standardized death rates (per 100 000) attributable to low temperature were higher in Western China, with the highest in Tibet (113·7 [82·0, 155·5]), while for high temperature, they were greater in Xinjiang (1·8 [0·7, 3·3]) and Central-Southern China such as Hainan (2·5 [0·9, 5·4]). We also observed considerable geographical variation in the temperature-related mortality burden by causes of death at provincial level. INTERPRETATION A substantial mortality burden was attributable to non-optimal temperatures across China, and cold effects dominated the total mortality burden in all provinces. Both cold- and heat-related mortality burden showed significantly spatial variations across China. FUNDING National Key Research and Development Program.
Collapse
Affiliation(s)
- Jiangmei Liu
- The National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention
| | - Tao Liu
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou 510632, China
| | - Katrin G. Burkart
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
- Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle, WA, USA
| | - Haidong Wang
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
- Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle, WA, USA
| | - Guanhao He
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou 511430, China
| | - Jianxiong Hu
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou 511430, China
| | - Jianpeng Xiao
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou 511430, China
| | - Peng Yin
- The National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention
| | - Lijun Wang
- The National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention
| | - Xiaofeng Liang
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou 510632, China
| | - Fangfang Zeng
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou 510632, China
| | - Jeffrey D. Stanaway
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
- Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle, WA, USA
| | - Michael Brauer
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
- Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle, WA, USA
- School of Population and Public Health, The University of British Columbia, Vancouver, BC, Canada
| | - Wenjun Ma
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou 510632, China
- Prof Wenjun Ma, Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, No.601 West, Huangpu Road, Tianhe District, Guangzhou 510632, China.
| | - Maigeng Zhou
- The National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention
- Correspondence to: Prof Maigeng Zhou, The National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention 27 Nanwei Road, Xicheng District, Beijing, 100050, China.
| |
Collapse
|
113
|
Qi L, Liu T, Gao Y, Li Q, Tang W, Tian D, Su K, Xiong Y, Yang J, Feng L, Liu Q. Effect of absolute humidity on influenza activity across different climate regions in China. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2022; 29:49373-49384. [PMID: 35218485 DOI: 10.1007/s11356-022-19279-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/07/2021] [Accepted: 02/11/2022] [Indexed: 06/14/2023]
Abstract
Until now, we have no thorough understanding the role of absolute humidity on influenza activity, especially in tropical and subtropical areas. In this study, we investigated the relationship between absolute humidity and influenza activity in seven municipalities/provinces covering different climatic zones in China. Weekly meteorological data and influenza surveillance data in seven provinces/municipalities in China were collected from January 2012 to December 2019. A distributed lag nonlinear model was adopted to investigate the association between absolute humidity (AH) and influenza activity in each study site. Then, seven study sites were grouped into three regions: northern, intermediate, and southernmost regions. A multivariate meta-analysis was applied to estimate the exposure-lag-response associations in three regions. The province-specific or municipality-specific curves appeared to be nonlinear, and the association between influenza activity and AH varied across regions. In Beijing and Tianjin, located in northern China, the cumulative relative risks (RRs) increased as weekly average AHmean fell below 3.41 g/m3 and 6.62 g/m3. In Guangdong and Hainan, located in southernmost China, the risk of influenza activity increased with rising average AHmean with 16.74 g/m3 and 20.18 g/m3 as the break points. In Shanghai, Zhejiang, and Chongqing, the relationship between weekly average AHmean and influenza could be described as U-shaped curves, with the lowest RRs when weekly average AHmean was 11.95 g/m3, 11.94 g/m3, and 15.96 g/m3, respectively. Meta-analysis results showed the cumulative RRs significantly increased as weekly average AHmean fell below 3.86 g/m3 in the northern region, whereas significantly increased as weekly average AHmean rose above 18.46 g/m3 and 15.22 g/m3 in intermediate and southernmost regions, respectively. Both low and high AH might increase influenza risk in China, and the relationship varies geographically. Our findings suggest that public health policies for climate change adaptation should be tailored to the local climate conditions.
Collapse
Affiliation(s)
- Li Qi
- Chongqing Municipal Center for Disease Control and Prevention, Chongqing, 400042, China
- 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
| | - Tian Liu
- Jingzhou Center for Disease Control and Prevention, Hubei, 434000, China
| | - Yuan Gao
- School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia
| | - Qin Li
- Chongqing Municipal Center for Disease Control and Prevention, Chongqing, 400042, China
| | - Wenge Tang
- Chongqing Municipal Center for Disease Control and Prevention, Chongqing, 400042, China
| | - Dechao Tian
- School of Public Health (Shenzhen), Sun Yat-Sen University, Shenzhen, 518107, China
| | - Kun Su
- Chongqing Municipal Center for Disease Control and Prevention, Chongqing, 400042, China
| | - Yu Xiong
- Chongqing Municipal Center for Disease Control and Prevention, Chongqing, 400042, China
| | - Jun Yang
- School of Public Health, Guangzhou Medical University, Guangzhou, 511436, China.
| | - Luzhao Feng
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100730, 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
|
114
|
Wang Y, Zhang Z, Luo Z, He T, Liu H, Duan L, Lu K, Liu C, Li X, Wu F, Zhang Y, Liu W, He K. 环境空气质量基准和标准制定方法及其对我国的启示. CHINESE SCIENCE BULLETIN-CHINESE 2022. [DOI: 10.1360/tb-2022-0157] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
|
115
|
Huang Y, Zhang T, Lou J, Wang P, Huang L. Effective interventions on health effects of Chinese rural elderly under heat exposure. FRONTIERS OF ENVIRONMENTAL SCIENCE & ENGINEERING 2022; 16:66. [PMID: 35693986 PMCID: PMC9170494 DOI: 10.1007/s11783-022-1545-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/27/2022] [Revised: 04/20/2022] [Accepted: 04/22/2022] [Indexed: 06/15/2023]
Abstract
UNLABELLED Due to climate change, the heatwave has become a more serious public health threat with aging as an aggravating factor in recent years. There is a pressing need to detect the most effective prevention and response measures. However, the specific health effects of interventions have not been characterized on an individual scale. In this study, an intervention experiment was designed to explore the health effects of heat exposure at the individual level and assess the effects of different interventions based on a comprehensive health sensitivity index (CHSI) in Xinyi, China. Forty-one subjects were recruited randomly, and divided into one control group and three intervention groups. Interventions included education (Educate by lecturing, offering relative materials, and communication), subsidy support (offer subsidy to offset the cost of running air conditioning), and cooling-spray (install a piece of cooling-spray equipment in the yard). Results showed that systolic blood pressure (SBP) and deep sleep duration (DSD) were significantly affected by short-term heat exposure, and the effects could be alleviated by three types of interventions. The estimated CHSI indicated that the effective days of the education group were longer than other groups, while the lower CHSI of the subsidy group showed lower sensitivity than the control group. These findings provide feasible implementation strategies to optimize Heat-health action plans and evaluate the intervention performance. ELECTRONIC SUPPLEMENTARY MATERIAL Supplementary material is available in the online version of this article at 10.1007/s11783-022-1545-4 and is accessible for authorized users.
Collapse
Affiliation(s)
- Yujia Huang
- State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing, 210023 China
| | - Ting Zhang
- State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing, 210023 China
| | - Jianing Lou
- State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing, 210023 China
| | - Peng Wang
- Faculty of Civil Engineering and Mechanics, Jiangsu University, Zhenjiang, 212013 China
| | - Lei Huang
- State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing, 210023 China
| |
Collapse
|
116
|
Short-Term Effects of Apparent Temperature on Cause-Specific Mortality in the Urban Area of Thessaloniki, Greece. ATMOSPHERE 2022. [DOI: 10.3390/atmos13060852] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Although there is a growing interest in the association between ambient temperatures and mortality, little evidence is available for Thessaloniki, the second largest city of Greece. In this study, we present an assessment of the effects of temperature on daily mortality from 2006 to 2016 in the urban area of Thessaloniki, by describing the exposure-lag-response association between temperature and cause-specific mortality with the use of a distributed lag non-linear model (DLNM). A J-shaped relationship was found between temperature and mortality. The highest values of risk were evident for respiratory (RR > 10) and cardiovascular causes (RR > 3), probably due to the fact that health status of individuals with chronic respiratory and cardiovascular diseases rapidly deteriorates during hot periods. Cold effects had longer lags of up to 15 days, whereas heat effects were short-lived, up to 4 days. Percentage change in all- and cause-specific mortality per 1 °C change above and below Minimum Mortality Temperature showed a larger increase for all-cause mortality in heat (1.95%, 95% CI: 1.07–2.84), in contrast to a smaller increase in cold (0.54%, 95% CI: 0, 1.09). Overall, 3.51% of all-cause deaths were attributable to temperature, whereas deaths attributed to heat (2.34%) were more than deaths attributed to cold (1.34%). The findings of this study present important evidence for planning public-health interventions, to reduce the health impact of extreme temperatures.
Collapse
|
117
|
Xu R, Shi C, Wei J, Lu W, Li Y, Liu T, Wang Y, Zhou Y, Chen G, Sun H, Liu Y. Cause-specific cardiovascular disease mortality attributable to ambient temperature: A time-stratified case-crossover study in Jiangsu province, China. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2022; 236:113498. [PMID: 35421825 DOI: 10.1016/j.ecoenv.2022.113498] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/01/2022] [Revised: 03/27/2022] [Accepted: 04/05/2022] [Indexed: 06/14/2023]
Abstract
BACKGROUND Exposure to non-optimum ambient temperature has been linked to increased risk of total cardiovascular disease (CVD) mortality; however, the adverse effects on mortality from specific types of CVD remain less understood. OBJECTIVES To comprehensively investigate the association of ambient temperature with cause-specific CVD mortality, and to estimate and compare the corresponding mortality burden. METHODS We conducted a time-stratified case-crossover study of 1000,014 CVD deaths in Jiangsu province, China during 2015-2019 using data from the China National Mortality Surveillance System. Residential daily 24-hour average temperature for each subject was extracted from a validated grid data at a spatial resolution of 0.0625° × 0.0625°. We fitted distributed lag non-linear models (DLNM) based on conditional logistic regression to quantitatively investigate the association of ambient temperature with total and cause-specific CVD mortality, which was used to further estimate mortality burden attributable to non-optimum ambient temperatures. RESULTS With adjustment for relative humidity, we observed reverse J-shaped exposure-response associations of ambient temperature with total and cause-specific CVD mortality, with minimum mortality temperatures ranging from 19.5 °C to 23.0 °C. An estimated 20.3% of the total CVD deaths were attributable to non-optimum temperatures, while the attributable fraction (AF) of mortality from chronic rheumatic heart diseases, hypertensive diseases, ischemic heart diseases (IHD), pulmonary heart disease, stroke, and sequelae of stroke was 22.4%, 23.2%, 23.3%, 20.9%, 17.6% and 21.3%, respectively. For total and cause-specific CVDs, most deaths were attributable to moderate cold temperature. We observed significantly higher mortality burden from total and certain cause-specific CVDs in adults 80 years or older and those who were widowed. CONCLUSION Exposure to ambient temperature was significantly associated with increased risk of cause-specific CVD mortality. The burden of CVD mortality attributable to non-optimum temperature was substantial especially in older and widowed adults, and significantly varied across specific types of CVD.
Collapse
Affiliation(s)
- Ruijun Xu
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong 510080, China
| | - Chunxiang Shi
- Meteorological Data Laboratory, National Meteorological Information Center, Beijing 100081, China
| | - Jing Wei
- Department of Atmospheric and Oceanic Science, Earth System Science Interdisciplinary Center, University of Maryland, College Park, MD 20740, USA
| | - Wenfeng Lu
- Department of Preventive Medicine, School of Public Health, Guangzhou Medical University, Guangzhou, Guangdong 511436, China; State Key Laboratory of Respiratory Disease, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong 511436, China
| | - Yingxin Li
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong 510080, China
| | - Tingting Liu
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong 510080, China
| | - Yaqi Wang
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong 510080, China
| | - Yun Zhou
- Department of Preventive Medicine, School of Public Health, Guangzhou Medical University, Guangzhou, Guangdong 511436, China; State Key Laboratory of Respiratory Disease, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong 511436, China
| | - Gongbo Chen
- Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong 510080, China
| | - Hong Sun
- Department of Environment and Health, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, Jiangsu 210009, China.
| | - Yuewei Liu
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong 510080, China.
| |
Collapse
|
118
|
Zhai L, Wang B, Wang Y, Li X, Ma X, Wang H. Pesticide poisoning risk attributable to ambient temperature: a time series analysis in Qingdao China during 2007-2018. INTERNATIONAL JOURNAL OF ENVIRONMENTAL HEALTH RESEARCH 2022; 32:1175-1182. [PMID: 33242984 DOI: 10.1080/09603123.2020.1854191] [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: 05/09/2020] [Accepted: 11/17/2020] [Indexed: 06/11/2023]
Abstract
Pesticide poisoning prevention has become a public health issue of great concern. We estimated the association between temperature and attributable risk of pesticide poisoning using 3,545 pesticide poisoning cases in Qingdao China from June 2007 to July 2018. A distributed lag non-linear model was applied to estimate the temperature-pesticide poisoning associated with the assessment of attributable number and fraction. The hot temperature is responsible for the pesticide poisoning incidence, with backward and forward attributable fractions, respectively, 7.79% and 7.61%. Most of the pesticide poisoning burden (backward attributable fraction 5.30% and forward attributable fraction 5.06%) was caused by mild hot (22°C-26°C), whereas the burden due to extreme hot (27°C-31°C) was small (backward attributable fraction 2.94% and forward attributable fraction 2.69%).
Collapse
Affiliation(s)
- Long Zhai
- Department of Occupational Health, Qingdao Municipal Center for Disease Control and Prevention, Qingdao Institute of Prevention Medicine, Qingdao, China
| | - Bingzhi Wang
- Department of Second Supervisory Section, Shibei District Health Supervision Institute, Qingdao, China
| | - Yang Wang
- Department of Planned Immunization, Qingdao Municipal Center for Disease Control and Prevention, Qingdao Institute of Prevention Medicine, Qingdao, China
| | - Xuekui Li
- Department of Endemic and Parasitic Diseases Prevention, Qingdao Municipal Center for Disease Control and Prevention, Qingdao Institute of Prevention Medicine, Qingdao, China
| | - Xiaojia Ma
- Department of Social Prevention and Control, Qingdao Mental Health Center, Qingdao, China
| | - Honglin Wang
- Department of Occupational Health, Qingdao Municipal Center for Disease Control and Prevention, Qingdao Institute of Prevention Medicine, Qingdao, China
| |
Collapse
|
119
|
The effect of ambient temperature on in-hospital mortality: a study in Nanjing, China. Sci Rep 2022; 12:6304. [PMID: 35428808 PMCID: PMC9012784 DOI: 10.1038/s41598-022-10395-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2021] [Accepted: 03/31/2022] [Indexed: 12/05/2022] Open
Abstract
To reduce the inpatient mortality and improve the quality of hospital management, we explore the relationship between temperatures and in-hospital mortality in a large sample across 10 years in Nanjing, Jiangsu. We collected 10 years’ data on patient deaths from a large research hospital. Distributed lag non-linear model (DLNM) was used to find the association between daily mean temperatures and in-hospital mortality. A total of 6160 in-hospital deaths were documented. Overall, peak RR appeared at 8 °C, with the range of 1 to 20 °C having a significantly high mortality risk. In the elderly (age ≥ 65 years), peak RR appeared at 5 °C, with range − 3 to 21 °C having a significantly high mortality risk. In males, peak RR appeared at 8 °C, with the range 0 to 24 °C having a significantly high mortality risk. Moderate cold (define as 2.5th percentile of daily mean temperatures to the MT), not extreme temperatures (≤ 2.5th percentile or ≥ 97.5th percentile of daily mean temperatures), increased the risk of death in hospital patients, especially in elderly and male in-hospital patients.
Collapse
|
120
|
Demoury C, Aerts R, Vandeninden B, Van Schaeybroeck B, De Clercq EM. Impact of Short-Term Exposure to Extreme Temperatures on Mortality: A Multi-City Study in Belgium. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19073763. [PMID: 35409447 PMCID: PMC8997565 DOI: 10.3390/ijerph19073763] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/10/2022] [Revised: 03/14/2022] [Accepted: 03/18/2022] [Indexed: 12/11/2022]
Abstract
In light of climate change, health risks are expected to be exacerbated by more frequent high temperatures and reduced by less frequent cold extremes. To assess the impact of different climate change scenarios, it is necessary to describe the current effects of temperature on health. A time-stratified case-crossover design fitted with conditional quasi-Poisson regressions and distributed lag non-linear models was applied to estimate specific temperature-mortality associations in nine urban agglomerations in Belgium, and a random-effect meta-analysis was conducted to pool the estimates. Based on 307,859 all-cause natural deaths, the mortality risk associated to low temperature was 1.32 (95% CI: 1.21-1.44) and 1.21 (95% CI: 1.08-1.36) for high temperature relative to the minimum mortality temperature (23.1 °C). Both cold and heat were associated with an increased risk of cardiovascular and respiratory mortality. We observed differences in risk by age category, and women were more vulnerable to heat than men. People living in the most built-up municipalities were at higher risk for heat. Air pollutants did not have a confounding effect. Evidence from this study helps to identify specific populations at risk and is important for current and future public health interventions and prevention strategies.
Collapse
Affiliation(s)
- Claire Demoury
- Risk and Health Impact Assessment, Sciensano, 1050 Brussels, Belgium; (R.A.); (B.V.); (E.M.D.C.)
- Correspondence:
| | - Raf Aerts
- Risk and Health Impact Assessment, Sciensano, 1050 Brussels, Belgium; (R.A.); (B.V.); (E.M.D.C.)
- Division Ecology, Evolution and Biodiversity Conservation, University of Leuven (KU Leuven), 3001 Leuven, Belgium
- Center for Environmental Sciences, University of Hasselt, 3590 Hasselt, Belgium
| | - Bram Vandeninden
- Risk and Health Impact Assessment, Sciensano, 1050 Brussels, Belgium; (R.A.); (B.V.); (E.M.D.C.)
| | - Bert Van Schaeybroeck
- Department of Meteorological Research and Development, Royal Meteorological Institute of Belgium, 1180 Brussels, Belgium;
| | - Eva M. De Clercq
- Risk and Health Impact Assessment, Sciensano, 1050 Brussels, Belgium; (R.A.); (B.V.); (E.M.D.C.)
| |
Collapse
|
121
|
Schinasi LH, Kenyon CC, Hubbard RA, Zhao Y, Maltenfort M, Melly SJ, Moore K, Forrest CB, Diez Roux AV, de Roos AJ. Associations between high ambient temperatures and asthma exacerbation among children in Philadelphia, PA: a time series analysis. Occup Environ Med 2022; 79:326-332. [PMID: 35246484 DOI: 10.1136/oemed-2021-107823] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2021] [Accepted: 02/10/2022] [Indexed: 11/04/2022]
Abstract
OBJECTIVES High ambient temperatures may contribute to acute asthma exacerbation, a leading cause of morbidity in children. We quantified associations between hot-season ambient temperatures and asthma exacerbation in children ages 0-18 years in Philadelphia, PA. METHODS We created a time series of daily counts of clinical encounters for asthma exacerbation at the Children's Hospital of Philadelphia linked with daily meteorological data, June-August of 2011-2016. We estimated associations between mean daily temperature (up to a 5-day lag) and asthma exacerbation using generalised quasi-Poisson distributed models, adjusted for seasonal and long-term trends, day of the week, mean relative humidity,and US holiday. In secondary analyses, we ran models with adjustment for aeroallergens, air pollutants and respiratory virus counts. We quantified overall associations, and estimates stratified by encounter location (outpatient, emergency department, inpatient), sociodemographics and comorbidities. RESULTS The analysis included 7637 asthma exacerbation events. High mean daily temperatures that occurred 5 days before the index date were associated with higher rates of exacerbation (rate ratio (RR) comparing 33°C-13.1°C days: 1.37, 95% CI 1.04 to 1.82). Associations were most substantial for children ages 2 to <5 years and for Hispanic and non-Hispanic black children. Adjustment for air pollutants, aeroallergens and respiratory virus counts did not substantially change RR estimates. CONCLUSIONS This research contributes to evidence that ambient heat is associated with higher rates of asthma exacerbation in children. Further work is needed to explore the mechanisms underlying these associations.
Collapse
Affiliation(s)
- Leah H Schinasi
- Department of Environmental and Occupational Health, Dornsife School of Public Health at Drexel University, Philadelphia, Pennsylvania, USA .,Urban Health Collaborative, Dornsife School of Public Health at Drexel University, Philadelphia, Pennsylvania, USA
| | - Chen C Kenyon
- PolicyLab, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA.,Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Rebecca A Hubbard
- Department of Biostatistics, Epidemiology & Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - Yuzhe Zhao
- Urban Health Collaborative, Dornsife School of Public Health at Drexel University, Philadelphia, Pennsylvania, USA
| | - Mitchell Maltenfort
- The Applied Clinical Research Center, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
| | - Steven J Melly
- Urban Health Collaborative, Dornsife School of Public Health at Drexel University, Philadelphia, Pennsylvania, USA
| | - Kari Moore
- Urban Health Collaborative, Dornsife School of Public Health at Drexel University, Philadelphia, Pennsylvania, USA
| | - Christopher B Forrest
- The Applied Clinical Research Center, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
| | - Ana V Diez Roux
- Urban Health Collaborative, Dornsife School of Public Health at Drexel University, Philadelphia, Pennsylvania, USA.,Department of Epidemiology and Biostatistics, Dornsife School of Public Health at Drexel University, Philadelphia, Pennsylvania, USA
| | - Anneclaire J de Roos
- Department of Environmental and Occupational Health, Dornsife School of Public Health at Drexel University, Philadelphia, Pennsylvania, USA.,Urban Health Collaborative, Dornsife School of Public Health at Drexel University, Philadelphia, Pennsylvania, USA
| |
Collapse
|
122
|
Lv LS, Zhou CL, Jin DH, Ma WJ, Liu T, Xie YJ, Xu YQ, Zhang XE. Impact of ambient temperature on life loss per death from cardiovascular diseases: a multicenter study in central China. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2022; 29:15791-15799. [PMID: 34633619 PMCID: PMC8827384 DOI: 10.1007/s11356-021-16888-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/03/2021] [Accepted: 09/30/2021] [Indexed: 06/13/2023]
Abstract
BACKGROUND In the context of global climate change, studies have focused on the ambient temperature and mortality of cardiovascular diseases (CVDs). However, little is known about the effect of ambient temperature on year of life lost (YLL), especially the life loss per death caused by ambient temperature. In this study, we aimed to assess the relationship between ambient temperature and life loss and estimate the impact of ambient temperature on life loss per death. METHODS We collected daily time series of mortality and meteorological data from 70 locations in Hunan province, central China, in periods ranging from Jan. 1, 2013, to Dec. 31, 2017. Crude rates of YLL were calculated per 100,000 people per year (YLL/100,000 population) for each location. A distributed lag nonlinear model and multivariate meta-regression were used to estimate the associations between ambient temperature and YLL rates. Then, the average life loss per death attributable to ambient temperature was calculated. RESULTS There were 711,484 CVD deaths recorded within the study period. The exposure-response curve between ambient temperature and YLL rates was inverted J or U-shaped. Relative to the minimum YLL rate temperature, the life loss risk of extreme cold temperature lasted for 10 to 12 days, whereas the risk of extreme hot temperature appeared immediately and lasted for 3 days. On average, the life loss per death attributable to non-optimum ambient temperatures was 1.89 (95% CI, 1.21-2.56) years. Life loss was mainly caused by cold temperature (1.13, 95% CI, 0.89‑1.37), particularly moderate cold (1.00, 95% CI, 0.78‑1.23). For demographic characteristics, the mean life loss per death was relatively higher for males (2.07, 95% CI, 1.44‑2.68) and younger populations (3.72, 95% CI, 2.06‑5.46) than for females (1.88, 95% CI, 1.21-2.57) and elderly people (1.69, 95% CI, 1.28-2.10), respectively. CONCLUSIONS We found that both cold and hot temperatures significantly aggravated premature death from CVDs. Our results indicated that the whole range of effects of ambient temperature on CVDs should be given attention.
Collapse
Affiliation(s)
- Ling-Shuang Lv
- Hunan Provincial Center for Disease Control and Prevention, Changsha, 410005, China
| | - Chun-Liang Zhou
- Hunan Provincial Center for Disease Control and Prevention, Changsha, 410005, China.
| | - Dong-Hui Jin
- Hunan Provincial Center for Disease Control and Prevention, Changsha, 410005, China
| | - Wen-Jun Ma
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, China
| | - Tao Liu
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, China
| | - Yi-Jun Xie
- Hunan Provincial Climate Center, Changsha, 410007, China
| | - Yi-Qing Xu
- Hunan Provincial Center for Disease Control and Prevention, Changsha, 410005, China
| | - Xing-E Zhang
- Hunan Provincial Center for Disease Control and Prevention, Changsha, 410005, China
| |
Collapse
|
123
|
Wu Y, Wen B, Li S, Gasparrini A, Tong S, Overcenco A, Urban A, Schneider A, Entezari A, Vicedo-Cabrera AM, Zanobetti A, Analitis A, Zeka A, Tobias A, Alahmad B, Armstrong B, Forsberg B, Íñiguez C, Ameling C, De la Cruz Valencia C, Åström C, Houthuijs D, Van Dung D, Royé D, Indermitte E, Lavigne E, Mayvaneh F, Acquaotta F, de’Donato F, Sera F, Carrasco-Escobar G, Kan H, Orru H, Kim H, Holobaca IH, Kyselý J, Madureira J, Schwartz J, Katsouyanni K, Hurtado-Diaz M, Ragettli MS, Hashizume M, Pascal M, de Sousa Zanotti Stagliorio Coélho M, Scovronick N, Michelozzi P, Goodman P, Nascimento Saldiva PH, Abrutzky R, Osorio S, Dang TN, Colistro V, Huber V, Lee W, Seposo X, Honda Y, Bell ML, Guo Y. Fluctuating temperature modifies heat-mortality association in the globe. Innovation (N Y) 2022; 3:100225. [PMID: 35340394 PMCID: PMC8942841 DOI: 10.1016/j.xinn.2022.100225] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2021] [Accepted: 03/02/2022] [Indexed: 11/30/2022] Open
Abstract
Studies have investigated the effects of heat and temperature variability (TV) on mortality. However, few assessed whether TV modifies the heat-mortality association. Data on daily temperature and mortality in the warm season were collected from 717 locations across 36 countries. TV was calculated as the standard deviation of the average of the same and previous days’ minimum and maximum temperatures. We used location-specific quasi-Poisson regression models with an interaction term between the cross-basis term for mean temperature and quartiles of TV to obtain heat-mortality associations under each quartile of TV, and then pooled estimates at the country, regional, and global levels. Results show the increased risk in heat-related mortality with increments in TV, accounting for 0.70% (95% confidence interval [CI]: −0.33 to 1.69), 1.34% (95% CI: −0.14 to 2.73), 1.99% (95% CI: 0.29–3.57), and 2.73% (95% CI: 0.76–4.50) of total deaths for Q1–Q4 (first quartile–fourth quartile) of TV. The modification effects of TV varied geographically. Central Europe had the highest attributable fractions (AFs), corresponding to 7.68% (95% CI: 5.25–9.89) of total deaths for Q4 of TV, while the lowest AFs were observed in North America, with the values for Q4 of 1.74% (95% CI: −0.09 to 3.39). TV had a significant modification effect on the heat-mortality association, causing a higher heat-related mortality burden with increments of TV. Implementing targeted strategies against heat exposure and fluctuant temperatures simultaneously would benefit public health. Increased temperature variability (TV) poses a greater mortality risk due to heat TV has a more profound modification effect on extreme heat-mortality association Strategies against heat and TV simultaneously would benefit public health
Collapse
Affiliation(s)
- Yao Wu
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne 3004, Australia
- Climate, Air Quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne 3004, Australia
| | - Bo Wen
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne 3004, Australia
- Climate, Air Quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne 3004, Australia
| | - Shanshan Li
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne 3004, Australia
- Climate, Air Quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne 3004, Australia
- Corresponding author
| | - Antonio Gasparrini
- Department of Public Health, Environments, and Society, London School of Hygiene & Tropical Medicine, London WC1E 7HT, UK
- Centre for Statistical Methodology, London School of Hygiene & Tropical Medicine, London WC1E 7HT, UK
- Centre on Climate Change & Planetary Health, London School of Hygiene & Tropical Medicine, London WC1E 7HT, UK
| | - Shilu Tong
- Shanghai Children’s Medical Centre, Shanghai Jiao Tong University, Shanghai 200025, China
- School of Public Health, Institute of Environment and Human Health, Anhui Medical University, Hefei 230032, China
- Center for Global Health, Nanjing Medical University, Nanjing 211166, China
- School of Public Health and Social Work, Queensland University of Technology, Brisbane 4000, Australia
| | - Ala Overcenco
- National Agency for Public Health of the Ministry of Health, Labour, and Social Protection of the Republic of Moldova, Chisinau MD-2009, Republic of Moldova
| | - Aleš Urban
- Institute of Atmospheric Physics, Czech Academy of Sciences, Prague 141 00, Czech Republic
- Faculty of Environmental Sciences, Czech University of Life Sciences, Prague 165 00, Czech Republic
| | - Alexandra Schneider
- Institute of Epidemiology, Helmholtz Zentrum München–German Research Center for Environmental Health, Neuherberg 85747, Germany
| | - Alireza Entezari
- Climate, Air Quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne 3004, Australia
- Faculty of Geography and Environmental Sciences, Hakim Sabzevari University, Sabzevar 9617976487, Iran
| | - Ana Maria Vicedo-Cabrera
- Department of Public Health, Environments, and Society, London School of Hygiene & Tropical Medicine, London WC1E 7HT, UK
- Institute of Social and Preventive Medicine, University of Bern, Bern 3012, Switzerland
- Oeschger Center for Climate Change Research, University of Bern, Bern 3012, Switzerland
| | - Antonella Zanobetti
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA 02115, USA
| | - Antonis Analitis
- Department of Hygiene, Epidemiology and Medical Statistics, National and Kapodistrian University of Athens, Athens 11527, Greece
| | - Ariana Zeka
- Institute for Environment, Health, and Societies, Brunel University London, London UB8 3PN, UK
| | - Aurelio Tobias
- Institute of Environmental Assessment and Water Research, Spanish Council for Scientific Research, Barcelona 08034, Spain
- School of Tropical Medicine and Global Health, Nagasaki University, Nagasaki 852-8521, Japan
| | - Barrak Alahmad
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA 02115, USA
| | - Ben Armstrong
- Department of Public Health, Environments, and Society, London School of Hygiene & Tropical Medicine, London WC1E 7HT, UK
| | - Bertil Forsberg
- Department of Public Health and Clinical Medicine, Umeå University, Umeå 901 87, Sweden
| | - Carmen Íñiguez
- Department of Statistics and Computational Research, Universitat de València, València 46003, Spain
- CIBER de Epidemiología y Salud Pública (CIBERESP), Madrid 28029, Spain
| | - Caroline Ameling
- National Institute for Public Health and the Environment (RIVM), Centre for Sustainability and Environmental Health, Bilthoven 3720 BA, Netherlands
| | - César De la Cruz Valencia
- Department of Environmental Health, National Institute of Public Health, Cuernavaca Morelos 62100, Mexico
| | - Christofer Åström
- Department of Public Health and Clinical Medicine, Umeå University, Umeå 901 87, Sweden
| | - Danny Houthuijs
- National Institute for Public Health and the Environment (RIVM), Centre for Sustainability and Environmental Health, Bilthoven 3720 BA, Netherlands
| | - Do Van Dung
- Department of Environmental Health, Faculty of Public Health, University of Medicine and Pharmacy at Ho Chi Minh City, Ho Chi Minh City 17000, Vietnam
| | - Dominic Royé
- CIBER de Epidemiología y Salud Pública (CIBERESP), Madrid 28029, Spain
- Department of Geography, University of Santiago de Compostela, Santiago de Compostela 15705, Spain
| | - Ene Indermitte
- Institute of Family Medicine and Public Health, University of Tartu, Tartu 50090, Estonia
| | - Eric Lavigne
- School of Epidemiology & Public Health, Faculty of Medicine, University of Ottawa, Ottawa, ON K1N 6N5, Canada
- Air Health Science Division, Health Canada, Ottawa, ON K1A 0K9, Canada
| | - Fatemeh Mayvaneh
- Faculty of Geography and Environmental Sciences, Hakim Sabzevari University, Sabzevar 9617976487, Iran
| | | | - Francesca de’Donato
- Department of Epidemiology, Lazio Regional Health Service, Rome 00147, Italy
| | - Francesco Sera
- Department of Statistics, Computer Science, and Applications “G. Parenti”, University of Florence, Florence 50121, Italy
| | - Gabriel Carrasco-Escobar
- Health Innovation Laboratory, Institute of Tropical Medicine “Alexander von Humboldt”, Universidad Peruana Cayetano Heredia, Lima 15102, Peru
- Scripps Institution of Oceanography, University of California San Diego, La Jolla, CA 92093, USA
| | - Haidong Kan
- Department of Environmental Health, School of Public Health, Fudan University, Shanghai 200032, China
| | - Hans Orru
- Institute of Family Medicine and Public Health, University of Tartu, Tartu 50090, Estonia
| | - Ho Kim
- Graduate School of Public Health, Seoul National University, Seoul 08826, Republic of Korea
| | | | - Jan Kyselý
- Institute of Atmospheric Physics, Czech Academy of Sciences, Prague 141 00, Czech Republic
- Faculty of Environmental Sciences, Czech University of Life Sciences, Prague 165 00, Czech Republic
| | - Joana Madureira
- EPIUnit – Instituto de Saúde Pública, Universidade do Porto, Porto 4050-600, Portugal
- Laboratório para a Investigação Integrativa e Translacional em Saúde Populacional (ITR), Porto 4050-600, Portugal
- Environmental Health Department, Instituto Nacional de Saúde Dr. Ricardo Jorge, Porto 4000-055, Portugal
| | - Joel Schwartz
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA 02115, USA
| | - Klea Katsouyanni
- Department of Hygiene, Epidemiology and Medical Statistics, National and Kapodistrian University of Athens, Athens 11527, Greece
- School of Population Health and Environmental Sciences, King’s College London, London WC2R 2LS, UK
| | - Magali Hurtado-Diaz
- Department of Environmental Health, National Institute of Public Health, Cuernavaca Morelos 62100, Mexico
| | - Martina S. Ragettli
- Swiss Tropical and Public Health Institute, Basel 4051, Switzerland
- University of Basel, Basel 4001, Switzerland
| | - Masahiro Hashizume
- Department of Global Health Policy, Graduate School of Medicine, The University of Tokyo, Tokyo 113-8654, Japan
| | - Mathilde Pascal
- Santé Publique France, Department of Environmental Health, French National Public Health Agency, Saint Maurice 94 410, France
| | | | - Noah Scovronick
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA 30322, USA
| | - Paola Michelozzi
- Department of Epidemiology, Lazio Regional Health Service, Rome 00147, Italy
| | | | | | - Rosana Abrutzky
- Universidad de Buenos Aires, Facultad de Ciencias Sociales, Instituto de Investigaciones Gino Germani, Buenos Aires C1053ABH, Argentina
| | - Samuel Osorio
- Department of Environmental Health, University of São Paulo, São Paulo 01246-904, Brazil
| | - Tran Ngoc Dang
- Department of Environmental Health, Faculty of Public Health, University of Medicine and Pharmacy at Ho Chi Minh City, Ho Chi Minh City 17000, Vietnam
| | - Valentina Colistro
- Department of Quantitative Methods, School of Medicine, University of the Republic, Montevideo 11200, Uruguay
| | - Veronika Huber
- IBE-Chair of Epidemiology, Ludwig Maximilian University Munich, Munich 81377, Germany
- Department of Physical, Chemical, and Natural Systems, Universidad Pablo de Olavide, Sevilla 41013, Spain
| | - Whanhee Lee
- School of the Environment, Yale University, New Haven, CT 06511, USA
- Department of Occupational and Environmental Medicine, School of Medicine, Ewha Womans University, Seoul 03760, South Korea
| | - Xerxes Seposo
- School of Tropical Medicine and Global Health, Nagasaki University, Nagasaki 852-8521, Japan
| | - Yasushi Honda
- Center for Climate Change Adaptation, National Institute for Environmental Studies, Tsukuba, Ibaraki 305-8506, Japan
| | - Michelle L. Bell
- School of the Environment, Yale University, New Haven, CT 06511, USA
| | - Yuming Guo
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne 3004, Australia
- Climate, Air Quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne 3004, Australia
- Corresponding author
| |
Collapse
|
124
|
Wang W, Zhang W, Ge H, Chen B, Zhao J, Wu J, Kang Z, Guo X, Deng F, Ma Q. Association between air pollution and emergency room visits for eye diseases and effect modification by temperature in Beijing, China. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2022; 29:22613-22622. [PMID: 34792769 DOI: 10.1007/s11356-021-17304-w] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/16/2021] [Accepted: 10/27/2021] [Indexed: 06/13/2023]
Abstract
The growing burden of eye disease worldwide has aroused increasing concern upon its environmental etiology. This study aims to evaluate the associations of air pollutants with emergency room visits for eye diseases and the effect modification by temperature. Based on 24,389 cases from a general hospital during 2014-2019 in Beijing, China, this study used generalized additive models to examine the associations of air pollutants and emergency room visits for total eye diseases (ICD10: H00-H59) and conjunctivitis (ICD10: H10). Short-term exposures to PM2.5, PM10, CO, and NO2 were associated with increased visits for total eye diseases and conjunctivitis, and stronger effect estimates were observed in high (>75th) temperature group for PM2.5, PM10, CO, and NO2 and low (<75th) temperature group for CO and NO2. For instance, a 10 μg/m3 increase in PM2.5 at lag0-1 were associated with a 0.73% (95% CI: 0.23%, 1.24%) increase in total eye disease visits and a 1.34% (95% CI: 0.55%, 2.13%) increase in conjunctivitis visits, respectively. Meanwhile, a 10 μg/m3 increase in PM2.5 was associated with a 1.57% (95% CI: 0.49%, 2.64%) change in high temperature group and a 0.48% (95% CI: -0.24%, 1.19%) change in medium temperature group (P for interaction = 0.04) in total eye disease visits. Our study emphasizes the importance of controlling the potential hazards of air pollutants on eyes, especially on days with relatively higher or colder temperature.
Collapse
Affiliation(s)
- Wanzhou Wang
- Emergency Department, Peking University Third Hospital, Beijing, 100191, China
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing, 100191, China
| | - Wenlou Zhang
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing, 100191, China
| | - Hongxia Ge
- Emergency Department, Peking University Third Hospital, Beijing, 100191, China
| | - Baiqi Chen
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing, 100191, China
| | - Jingjing Zhao
- Emergency Department, Peking University Third Hospital, Beijing, 100191, China
| | - Jun Wu
- Emergency Department, Peking University Third Hospital, Beijing, 100191, China
| | - Zefeng Kang
- Eye Hospital of China Academy of Chinese Medical Sciences, Beijing, 100040, China.
| | - Xinbiao Guo
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing, 100191, China
| | - Furong Deng
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing, 100191, China.
| | - Qingbian Ma
- Emergency Department, Peking University Third Hospital, Beijing, 100191, China.
| |
Collapse
|
125
|
Chen Y, Kong D, Fu J, Zhang Y, Zhao Y, Liu Y, Chang Z, Liu Y, Liu X, Xu K, Jiang C, Fan Z. Associations between ambient temperature and adult asthma hospitalizations in Beijing, China: a time-stratified case-crossover study. Respir Res 2022; 23:38. [PMID: 35189885 PMCID: PMC8862352 DOI: 10.1186/s12931-022-01960-8] [Citation(s) in RCA: 22] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2021] [Accepted: 02/15/2022] [Indexed: 11/30/2022] Open
Abstract
Background Studies on the associations between ambient temperature and asthma hospitalizations are limited, and the results are controversial. We aimed to assess the short-term effects of ambient temperature on the risk of asthma hospitalizations and quantify the hospitalization burdens of asthma attributable to non-optimal temperature in adults in Beijing, China. Methods We collected daily asthma hospitalizations, meteorological factors and air quality data in Beijing from 2012 to 2015. We applied a time-stratified case-crossover design and fitted a distributed lag non-linear model with a conditional quasi-Poisson regression to explore the association between ambient temperature and adult asthma hospitalizations. The effect modifications of these associations by gender and age were assessed by stratified analyses. We also computed the attributable fractions and numbers with 95% empirical confidence intervals (eCI) of asthma hospitalizations due to extreme and moderate temperatures. Results From 2012 to 2015, we identified a total of 18,500 hospitalizations for asthma among adult residents in Beijing, China. Compared with the optimal temperature (22 °C), the cumulative relative risk (CRR) over lag 0–30 days was 2.32 with a 95% confidence interval (CI) of 1.57–3.42 for extreme cold corresponding to the 2.5th percentile (− 6.5 °C) of temperature distribution and 2.04 (95% CI 1.52–2.74) for extreme heat corresponding to the 97.5th percentile (29 °C) of temperature distribution. 29.1% (95% eCI 17.5–38.0%) of adult asthma hospitalizations was attributable to non-optimum temperatures. Moderate cold temperatures yielded most of the burdens, with an attributable fraction of 20.3% (95% eCI 9.1–28.7%). The temperature-related risks of asthma hospitalizations were more prominent in females and younger people (19–64 years old). Conclusions There was a U-shaped association between ambient temperature and the risk of adult asthma hospitalizations in Beijing, China. Females and younger patients were more vulnerable to the effects of non-optimum temperatures. Most of the burden was attributable to moderate cold. Our findings may uncover the potential impact of climate changes on asthma exacerbations. Supplementary Information The online version contains supplementary material available at 10.1186/s12931-022-01960-8.
Collapse
Affiliation(s)
- Yuxiong Chen
- Department of Medicine, Peking Union Medical College Hospital, Peking Union Medical College & Chinese Academy of Medical Sciences, No.1 Shuaifuyuan Wangfujing Dongcheng District,, Beijing, 100730, China
| | - Dehui Kong
- Department of Medicine, Peking Union Medical College Hospital, Peking Union Medical College & Chinese Academy of Medical Sciences, No.1 Shuaifuyuan Wangfujing Dongcheng District,, Beijing, 100730, China
| | - Jia Fu
- Department of Medicine, Peking Union Medical College Hospital, Peking Union Medical College & Chinese Academy of Medical Sciences, No.1 Shuaifuyuan Wangfujing Dongcheng District,, Beijing, 100730, China
| | - Yongqiao Zhang
- Department of Medicine, Peking Union Medical College Hospital, Peking Union Medical College & Chinese Academy of Medical Sciences, No.1 Shuaifuyuan Wangfujing Dongcheng District,, Beijing, 100730, China
| | - Yakun Zhao
- Department of Medicine, Peking Union Medical College Hospital, Peking Union Medical College & Chinese Academy of Medical Sciences, No.1 Shuaifuyuan Wangfujing Dongcheng District,, Beijing, 100730, China
| | - Yanbo Liu
- Department of Medicine, Peking Union Medical College Hospital, Peking Union Medical College & Chinese Academy of Medical Sciences, No.1 Shuaifuyuan Wangfujing Dongcheng District,, Beijing, 100730, China
| | - Zhen'ge Chang
- Department of Medicine, Peking Union Medical College Hospital, Peking Union Medical College & Chinese Academy of Medical Sciences, No.1 Shuaifuyuan Wangfujing Dongcheng District,, Beijing, 100730, China
| | - Yijie Liu
- Department of Medicine, Peking Union Medical College Hospital, Peking Union Medical College & Chinese Academy of Medical Sciences, No.1 Shuaifuyuan Wangfujing Dongcheng District,, Beijing, 100730, China
| | - Xiaole Liu
- Department of Medicine, Peking Union Medical College Hospital, Peking Union Medical College & Chinese Academy of Medical Sciences, No.1 Shuaifuyuan Wangfujing Dongcheng District,, Beijing, 100730, China
| | - Kaifeng Xu
- Department of Medicine, Peking Union Medical College Hospital, Peking Union Medical College & Chinese Academy of Medical Sciences, No.1 Shuaifuyuan Wangfujing Dongcheng District,, Beijing, 100730, China
| | - Chengyu Jiang
- Department of Biochemistry, State Key Laboratory of Medical Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, 100005, China
| | - Zhongjie Fan
- Department of Medicine, Peking Union Medical College Hospital, Peking Union Medical College & Chinese Academy of Medical Sciences, No.1 Shuaifuyuan Wangfujing Dongcheng District,, Beijing, 100730, China.
| |
Collapse
|
126
|
Talukder MR, Chu C, Rutherford S, Huang C, Phung D. The effect of high temperatures on risk of hospitalization in northern Vietnam. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2022; 29:12128-12135. [PMID: 34561800 DOI: 10.1007/s11356-021-16601-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/07/2021] [Accepted: 09/14/2021] [Indexed: 06/13/2023]
Abstract
Vietnam is one Southeast Asian country most vulnerable to climate change. By the end of the twenty-first century, temperature could rise above 5°C across Vietnam according to the IPCC highest emission pathway scenario. However, research on the temperature-health effects from the geographically diverse sub-tropical northern region of Vietnam is limited making location specific health system preparedness difficult. This study examines the elevated temperature-hospitalization relationship for the seven provinces in northern Vietnam by using generalized linear and distributed lag models. A random-effect meta-analysis was used to estimate the pooled temperature hospitalizations risks for all causes, and for infectious, cardiovascular, and respiratory diseases. The pooled estimates show a significant effect of high temperature on hospitalizations for the same day (lag 0), when a 1°C increase in temperature above 24°C was significantly associated with 1.1% (95% CI, 0.9-1.4%) increased risk for all-cause hospital admissions, 2.4% (95% CI, 1.9-2.9%) increased risk for infectious disease admissions, 0.5% (95% CI, 0.1-0.9%) increased risk for cardiovascular disease admissions, and 1.3% (95% CI, 0.9-1.6%) increased risk for respiratory disease admissions. This research adds to the scant evidence examining heat and health morbidity effects in sub-tropical climates and has important implications for better understanding and preparing for the future impacts of climate change related temperature on Vietnam residents.
Collapse
Affiliation(s)
- Mohammad Radwanur Talukder
- Menzies School of Health Research, Royal Darwin Hospital, Darwin, NT, Australia.
- Baker Heart and Diabetes Institute, Alice Springs Hospital, Alice Springs, NT, Australia.
| | - Cordia Chu
- Centre for Environment and Population Health, School of Medicine and Dentistry, Griffith University, Brisbane, Australia
| | - Shannon Rutherford
- School of Medicine and Dentistry, Griffith University, Gold Coast, Australia
| | | | - Dung Phung
- Centre for Environment and Population Health, School of Medicine and Dentistry, Griffith University, Brisbane, Australia.
- School of Medicine and Dentistry, Griffith University, Gold Coast, Australia.
| |
Collapse
|
127
|
Lei J, Chen R, Yin P, Meng X, Zhang L, Liu C, Qiu Y, Ji JS, Kan H, Zhou M. Association between Cold Spells and Mortality Risk and Burden: A Nationwide Study in China. ENVIRONMENTAL HEALTH PERSPECTIVES 2022; 130:27006. [PMID: 35157500 PMCID: PMC8843087 DOI: 10.1289/ehp9284] [Citation(s) in RCA: 35] [Impact Index Per Article: 17.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/13/2023]
Abstract
BACKGROUND Few multicity studies have evaluated the association between cold spells and mortality risk and burden. OBJECTIVES We aimed to estimate the association between cold spells and cause-specific mortality and to evaluate the mortality burden in China. METHODS We conducted a time-series analysis with a nationally representative Disease Surveillance Points System database during the cool seasons spanning from 2013 to 2015 in 272 Chinese cities. We used 12 cold-spell definitions and overdispersed generalized additive models with distributed lag models to estimate the city-specific cumulative association of cold spells over lags of 0-28 d. We controlled for the nonlinear and lagged effects of cold temperature over 0-28 d to evaluate the added effect estimates of cold spell. We also quantified the nationwide mortality burden and pooled the estimated association at national and different climatic levels with meta-regression models. RESULTS For the cold-spell definition of daily mean temperatures of ≤5th percentile of city-specific daily mean temperature and duration of ≥4 consecutive d, the relative risks (i.e., risk ratios) associated with cold spells were 1.39 [95% confidence interval (CI): 1.15, 1.69] for non-accidental mortality, 1.66 (95% CI: 1.20, 2.31) for coronary heart disease mortality, 1.49 (95% CI: 1.12, 1.97) for stroke mortality, and 1.26 (95% CI: 0.85, 1.87) for chronic obstructive pulmonary disease mortality. Cold spells showed a maximal lagged association of 28 d with the risks peaked at 10-15 d. A statistically significant attributable fraction (AF) of non-accidental mortality [2.10% (95% CI: 0.94%, 3.04%)] was estimated. The risks were higher in the temperate continental and the temperate monsoon zones than in the subtropical monsoon zone. The elderly population was especially vulnerable to cold spells. DISCUSSION Our study provides evidence for the significant relative risks of non-accidental, cardiovascular, and respiratory mortality associated with cold spells. The findings on vulnerable populations and differential risks in different climatic zones may help establish region-specific forecasting systems against the hazardous impact of cold spells. https://doi.org/10.1289/EHP9284.
Collapse
Affiliation(s)
- Jian Lei
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and National Health Commission (NHC) Key Lab of Health Technology Assessment, Fudan University, Shanghai, China
| | - Renjie Chen
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and National Health Commission (NHC) Key Lab of Health Technology Assessment, Fudan University, Shanghai, China
- Integrated Research on Disaster Risk International Center of Excellence (IRDR ICoE) on Risk Interconnectivity and Governance on Weather/Climate Extremes Impact and Public Health, Fudan University, Shanghai, China
| | - Peng Yin
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Xia Meng
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and National Health Commission (NHC) Key Lab of Health Technology Assessment, Fudan University, Shanghai, China
| | - Lina Zhang
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and National Health Commission (NHC) Key Lab of Health Technology Assessment, Fudan University, Shanghai, China
| | - Cong Liu
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and National Health Commission (NHC) Key Lab of Health Technology Assessment, Fudan University, Shanghai, China
| | - Yang Qiu
- Department of Environmental Sciences and Engineering, School of Architecture and Environmental Sciences, Sichuan University, Chengdu, China
| | - John S. Ji
- Vanke School of Public Health, Tsinghua University, Beijing, China
| | - Haidong Kan
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and National Health Commission (NHC) Key Lab of Health Technology Assessment, Fudan University, Shanghai, China
- Integrated Research on Disaster Risk International Center of Excellence (IRDR ICoE) on Risk Interconnectivity and Governance on Weather/Climate Extremes Impact and Public Health, Fudan University, Shanghai, China
| | - Maigeng Zhou
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| |
Collapse
|
128
|
Wen B, Xu R, Wu Y, Coêlho MDSZS, Saldiva PHN, Guo Y, Li S. Association between ambient temperature and hospitalization for renal diseases in Brazil during 2000-2015: A nationwide case-crossover study. LANCET REGIONAL HEALTH. AMERICAS 2022; 6:100101. [PMID: 36777886 PMCID: PMC9904055 DOI: 10.1016/j.lana.2021.100101] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/08/2021] [Revised: 09/23/2021] [Accepted: 09/27/2021] [Indexed: 12/24/2022]
Abstract
Background Climate change is increasing the risks of injuries, diseases, and deaths globally. However, the association between ambient temperature and renal diseases has not been fully characterized. This study aimed to quantify the risk and attributable burden for hospitalizations of renal diseases related to ambient temperature. Methods Daily hospital admission data from 1816 cities in Brazil were collected during 2000 and 2015. A time-stratified case-crossover design was applied to evaluate the association between temperature and renal diseases. Relative risks (RRs), attributable fractions (AFs), and their confidence intervals (CIs) were calculated to estimate the associations and attributable burden. Findings A total of 2,726,886 hospitalizations for renal diseases were recorded during the study period. For every 1°C increase in daily mean temperature, the estimated risk of hospitalization for renal diseases over lag 0-7 days increased by 0·9% (RR = 1·009, 95% CI: 1·008-1·010) at the national level. The associations between temperature and renal diseases were largest at lag 0 days but remained for lag 1-2 days. The risk was more prominent in females, children aged 0-4 years, and the elderly ≥ 80 years. 7·4% (95% CI: 5·2-9·6%) of hospitalizations for renal diseases could be attributable to the increase of temperature, equating to 202,093 (95% CI: 141,554-260,594) cases. Interpretation This nationwide study provides robust evidence that more policies should be developed to prevent heat-related hospitalizations and mitigate climate change. Funding China Scholarship Council, and the Australian National Health and Medical Research Council.
Collapse
Affiliation(s)
- Bo Wen
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Rongbin Xu
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Yao Wu
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | | | | | - Yuming Guo
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Shanshan Li
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| |
Collapse
|
129
|
Yu Y, Luo S, Zhang Y, Liu L, Wang K, Hong L, Wang Q. Comparative analysis of daily and hourly temperature variability in association with all-cause and cardiorespiratory mortality in 45 US cities. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2022; 29:11625-11633. [PMID: 34537946 DOI: 10.1007/s11356-021-16476-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/06/2021] [Accepted: 09/05/2021] [Indexed: 06/13/2023]
Abstract
Temperature variability (TV) has been widely associated with increased mortality risk and burden. Extensive researches have used the standard deviations of several days' daily maximum and minimum temperatures or hourly mean temperatures as daily and hourly TV measures (TVdaily and TVhourly). However, comparative analysis of daily and hourly TV related to cardiorespiratory mortality is still limited. We collected daily mortality and meteorological data in 45 US metropolises, 1987-2000. A three-stage analysis was adopted to investigate TV-mortality associations using TVdaily and TVhourly as exposure metrics. We first applied a time-series quasi-Poisson regression to estimate location-specific TV-mortality relationships, which were then pooled using random-effects meta-analysis with maximum likelihood estimation. We additionally calculated attributable fraction (AF) as a reflection of mortality burden associated with TV. Stratified analyses by age were also performed to identify the susceptible group to TV-related risks. There were a total of 15.4 million all-cause deaths, of which 6.1 million were from cardiovascular causes and 1.2 million were from respiratory causes. Per 1 °C increase in TVdaily and TVhourly was associated with an increase of 0.53% (95% confidence interval: 0.31-0.76%) and 0.52% (0.26-0.79%) in cardiovascular mortality risks, 0.62% (0.26-0.98%) and 0.53% (0.13-0.94%) in respiratory mortality risks. Estimates of cardiovascular AF for TVdaily and TVhourly were 2.43% (1.42-3.43%) vs. 1.63% (0.82-2.43%), whereas estimates of respiratory AF were 3.07% (1.11-4.99%) vs. 1.89% (0.43-3.34%). Both daily and hourly TV indexes showed approximately linear relationships with different mortality categories and similar lag patterns, but greater fractions were estimated using TVdaily than those using TVhourly. People over 75 years old were relatively more vulnerable to TV-induced risks of mortality. In conclusion, both TVdaily and TVhourly significantly increased all-cause and cardiorespiratory mortality risks and burden. Daily and hourly TV metrics exhibited comparable effects of mortality risk, while greater mortality burden was estimated using TVdaily than TVhourly. Our findings may add significance to TV-mortality research and help to promote optimal health management strategies to better mitigate TV-related health effects.
Collapse
Affiliation(s)
- Yong Yu
- School of Public Health, Hubei University of Medicine, Shiyan, 442000, China
| | - Siqi Luo
- Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University of Science and Technology, Wuhan, 430065, China
| | - Yunquan Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University of Science and Technology, Wuhan, 430065, China
| | - Linjiong Liu
- Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University of Science and Technology, Wuhan, 430065, China
| | - Ke Wang
- Department of Nursing, Medical College, Wuhan University of Science and Technology, Wuhan, 430065, China
| | - Le Hong
- Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University of Science and Technology, Wuhan, 430065, China
| | - Qun Wang
- School of Public Health, Hubei University of Medicine, Shiyan, 442000, China.
| |
Collapse
|
130
|
Wei J, Wang P, Xia F, Miao J, Zhou X, Yang Z, Gong Z, Chen L, Wang T. Time trends in cardiovascular disease mortality attributable to non-optimal temperatures in China: An age-period-cohort analysis using the Global Burden of Disease Study 2019. Front Public Health 2022; 10:1075551. [PMID: 37089862 PMCID: PMC10113563 DOI: 10.3389/fpubh.2022.1075551] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2022] [Accepted: 12/28/2022] [Indexed: 04/25/2023] Open
Abstract
Background Associations between non-optimal temperatures and cardiovascular disease (CVD) mortality risk have been previously reported, yet the trends of CVD mortality attributable to non-optimal temperatures remain unclear in China. We analyzed trends in CVD mortality attributable to non-optimal temperatures and associations with age, period, and birth cohort. Methods Data were obtained from the Global Burden of Disease Study (GBD) 2019. Joinpoint regression analysis was used to calculate annual percent change (APC) and average annual percent change (AAPC) from 1990 to 2019. We used the age-period-cohort model to analyze age, period, and cohort effects in CVD mortality attributable to non-optimal temperatures between 1990 and 2019. Results The age-standardized mortality rate (ASMR) of CVD attributable to non-optimal temperature generally declined in China from 1990 to 2019, whereas ischemic heart disease (IHD) increased slightly. Low temperatures have a greater death burden than high temperatures, but the death burden from high temperatures showed steady increases. Joinpoint regression analysis showed that CVD mortality decreased in all age groups except for IHD, and the decreases were greater in females than in males. The mortality of CVD attributable to non-optimal temperatures of males was higher than females. The mortality rate showed an upwards trend with age across all CVD categories. Period risks were generally found in unfavorable trends. The cohort effects showed a progressive downward trend during the entire period. Conclusion Although there have been reductions in CVD mortality attributable to non-optimum temperatures, the mortality of IHD has increased and the burden from non-optimal temperatures remains high in China. In the context of global climate change, our results call for more attention and strategies to address climate change that protect human health from non-optimal temperatures.
Collapse
|
131
|
Pan R, Yao Z, Yi W, Wei Q, He Y, Tang C, Liu X, Son S, Ji Y, Song J, Cheng J, Ji Y, Su H. Temporal trends of the association between temperature variation and hospitalizations for schizophrenia in Hefei, China from 2005 to 2019: a time-varying distribution lag nonlinear model. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2022; 29:5184-5193. [PMID: 34417696 DOI: 10.1007/s11356-021-15797-z] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/07/2021] [Accepted: 07/28/2021] [Indexed: 06/13/2023]
Abstract
Along with climate change, unstable weather patterns are becoming more frequent. However, the temporal trend associated with the effect of temperature variation on schizophrenia (SCZ) is not clear. Daily time-series data on SCZ and meteorological factors for 15-year between January 1, 2005 and December 31, 2019 were collected. And we used the Poisson regression model combined with the time-varying distribution lag nonlinear model (DLNM) to explore the temporal trend of the association between three temperature variation indicators (diurnal temperature range, DTR; temperature variability, TV; temperature change between neighboring days, TCN) and SCZ hospitalizations, respectively. Meanwhile, we also explore the temporal trend of the interaction between temperature and temperature variation. Stratified analyses were performed in different gender, age, and season. Across the whole population, we found a decreasing trend in the risk of SCZ hospitalizations associated with high DTR (from 1.721 to 1.029), TCN (from 1.642 to 1.066), and TV (TV0-1, from 1.034 to 0.994; TV0-2, from 1.041 to 0.994, TV0-3, from 1.044 to 0.992, TV0-4, from 1.049 to 0.992, TV0-5, from 1.055 to 0.993, TV0-6, from 1.059 to 0.991, TV0-7, from 1.059 to 0.990), but an increasing trend in low DTR (from 0.589 to 0.752). Subgroup analysis results further revealed different susceptible groups. Besides, the interactive effect suggests that temperature variation may cause greater harm under low-temperature conditions. There was a synergy between TCN and temperature on the addition and multiplication scales, which were 1.068 (1.007, 1.133) and 0.067 (0.009, 0.122), respectively. Our findings highlight public health interventions to mitigate temperature variation effects needed to focus not only on high temperature variations but also moderately low temperature variations. Future hospitalizations for SCZ associated with temperature variation may be more severely affected by temperature variability from low temperature environments. The temporal trend is associated with the effect of temperature variation on schizophrenia (SCZ).
Collapse
Affiliation(s)
- Rubing Pan
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, 230032, Anhui, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, China
| | - Zhenhai Yao
- Anhui Public Meteorological Service Center, Hefei, 230011, Anhui, China
| | - Weizhuo Yi
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, 230032, Anhui, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, China
| | - Qiannan Wei
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, 230032, Anhui, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, China
| | - Yangyang He
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, 230032, Anhui, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, China
| | - Chao Tang
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, 230032, Anhui, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, China
| | - Xiangguo Liu
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, 230032, Anhui, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, China
| | - Shasha Son
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, 230032, Anhui, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, China
| | - Yanhu Ji
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, 230032, Anhui, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, China
| | - Jian Song
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, 230032, Anhui, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, China
| | - Jian Cheng
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, 230032, Anhui, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, China
| | - Yifu Ji
- The Fourth People's Hospital, Hefei, China.
| | - Hong Su
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, 230032, Anhui, China.
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, China.
| |
Collapse
|
132
|
Zhai L, Ma X, Wang J, Luan G, Zhang H. Effects of ambient temperature on cardiovascular disease: a time-series analysis of 229288 deaths during 2009-2017 in Qingdao, China. INTERNATIONAL JOURNAL OF ENVIRONMENTAL HEALTH RESEARCH 2022; 32:181-190. [PMID: 32196376 DOI: 10.1080/09603123.2020.1744532] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/27/2020] [Accepted: 03/14/2020] [Indexed: 06/10/2023]
Abstract
The association between ambient temperature and cardiovascular mortality varied by regions, populations, and climates. We estimated the relative risk (RR) of cardiovascular mortality using 229,288 death cases of cardiovascular disease in Qingdao China from 1 January 2009, to 31 December 2017. A distributed lag non-linear model was used. The temperature showed a negative association with the cardiovascular mortality. The RR of cardiovascular death at -4.8 °C was 2.05 (95% CI: 1.55, 2.69). The high temperature had acute and short-term effects with the maximum risk occurring 0 day of exposure. The low temperature had the greatest effect on the 4th lag day. The cold temperature effect was stronger for males than females. The estimates of temperature-related cardiovascular mortality risk were higher in people age ≥75 years. Our study showed that the cold and hot ambient temperature had a relationship with the risk of cardiovascular mortality.
Collapse
Affiliation(s)
- Long Zhai
- Department of Occupational Health, Qingdao Municipal Center for Disease Control and Prevention, Qingdao, China
- Department of Occupational Health, Qingdao Institute of Prevention Medicine, Qingdao, China
| | - Xiaojia Ma
- Department of Social Prevention and Control, Qingdao Mental Health Center, Qingdao, China
| | - Junhui Wang
- Department of Second Supervisory Section, Shibei District Health Supervision Institute, Qingdao, China
| | - Guijie Luan
- Department of Planned Immunization, Shandong Center for Disease Control and Prevention, Jinan, China
| | - Hua Zhang
- Department of Chronic Noncommunicable Diseases, Qingdao Municipal Center for Disease Control and Prevention, Qingdao, China
- Department of Chronic Noncommunicable Diseases, Qingdao Institute of Prevention Medicine, Qingdao, China
| |
Collapse
|
133
|
Geographical Variations of the Minimum Mortality Temperature at a Global Scale: A Multicountry Study. Environ Epidemiol 2021; 5:e169. [PMID: 34934890 PMCID: PMC8683148 DOI: 10.1097/ee9.0000000000000169] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2021] [Accepted: 08/02/2021] [Indexed: 01/21/2023] Open
Abstract
Background Minimum mortality temperature (MMT) is an important indicator to assess the temperature-mortality association, indicating long-term adaptation to local climate. Limited evidence about the geographical variability of the MMT is available at a global scale. Methods We collected data from 658 communities in 43 countries under different climates. We estimated temperature-mortality associations to derive the MMT for each community using Poisson regression with distributed lag nonlinear models. We investigated the variation in MMT by climatic zone using a mixed-effects meta-analysis and explored the association with climatic and socioeconomic indicators. Results The geographical distribution of MMTs varied considerably by country between 14.2 and 31.1 °C decreasing by latitude. For climatic zones, the MMTs increased from alpine (13.0 °C) to continental (19.3 °C), temperate (21.7 °C), arid (24.5 °C), and tropical (26.5 °C). The MMT percentiles (MMTPs) corresponding to the MMTs decreased from temperate (79.5th) to continental (75.4th), arid (68.0th), tropical (58.5th), and alpine (41.4th). The MMTs indreased by 0.8 °C for a 1 °C rise in a community's annual mean temperature, and by 1 °C for a 1 °C rise in its SD. While the MMTP decreased by 0.3 centile points for a 1 °C rise in a community's annual mean temperature and by 1.3 for a 1 °C rise in its SD. Conclusions The geographical distribution of the MMTs and MMTPs is driven mainly by the mean annual temperature, which seems to be a valuable indicator of overall adaptation across populations. Our results suggest that populations have adapted to the average temperature, although there is still more room for adaptation.
Collapse
|
134
|
Wang Q, He Y, Hajat S, Cheng J, Xu Z, Hu W, Ma W, Huang C. Temperature-sensitive morbidity indicator: consequence from the increased ambulance dispatches associated with heat and cold exposure. INTERNATIONAL JOURNAL OF BIOMETEOROLOGY 2021; 65:1871-1880. [PMID: 33963898 DOI: 10.1007/s00484-021-02143-8] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/08/2020] [Revised: 03/25/2021] [Accepted: 04/29/2021] [Indexed: 06/12/2023]
Abstract
Current development of temperature-related health early warning systems mainly arises from knowledge of temperature-related mortality or hospital-based morbidity. However, due to the delay in data reporting and limits in hospital capacity, these indicators cannot be used in health risk assessments timely. In this study, we examine temperature impacts on emergency ambulance and discuss the benefits of using this near real-time indicator for risk assessment and early warning. We collected ambulance dispatch data recording individual characteristics and preliminary diagnoses between 2015 and 2016 in Shenzhen, China. Distributed lag nonlinear model was used to examine the effects of high and low temperatures on ambulance dispatches during warm and cold seasons. Lag effects were also assessed to evaluate the sensitivity of ambulance dispatches in reflecting immediate health reactions. Stratified analyses by gender, age, and a wide range of diagnoses were performed to identify vulnerable subgroups. Disease-specific numbers of ambulance dispatches attributable to non-optimal temperature were calculated to determine the related medical burdens. Effects of temperature on ambulance dispatches appeared to be acute on the current day. Males, people aged 18-44 years, were more susceptible to non-optimal temperatures. Highest RR during heat exposure by far was for urinary disease, alcohol intoxication, and traumatic injury, while alcohol intoxication and cardiovascular disease were especially sensitive to cold exposure, causing the main part of health burden. The development of local health surveillance systems by utilizing ambulance dispatch data are important for temperature impact assessments and medical resource reallocation.
Collapse
Affiliation(s)
- Qingchuan Wang
- Shenzhen Longhua District Central Hospital, 187 Guanlan Avenue, Longhua District, Shenzhen, 518110, China.
| | - Yiling He
- School of Public Health, Sun Yat-sen University, Zhongshan Road #2, Guangzhou, 510080, China
- Shanghai Key Laboratory of Meteorology and Health, Shanghai Meteorological Service, Shanghai, China
- Shanghai Typhoon Institute, China Meteorological Administration, Shanghai, China
| | - Shakoor Hajat
- Department of Public Health, Environments and Society, School of Hygiene & Tropical Medicine, London, London, UK
| | - Jian Cheng
- Department of Epidemiology and Biostatistics & Anhui Province Key Laboratory of Major Autoimmune Disease, School of Public Health, Anhui Medical University, Anhui, China
| | - Zhiwei Xu
- School of Public Health, University of Queensland, Brisbane, Australia
| | - Wenbiao Hu
- School of Public Health and Social Work, Queensland University of Technology, Brisbane, Australia
| | - Wenjun Ma
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China
| | - Cunrui Huang
- School of Public Health, Sun Yat-sen University, Zhongshan Road #2, Guangzhou, 510080, China.
- Shanghai Key Laboratory of Meteorology and Health, Shanghai Meteorological Service, Shanghai, China.
- School of Public Health, Zhengzhou University, Zhengzhou, China.
- Vanke School of Public Health, Tsinghua University, Beijing, China.
| |
Collapse
|
135
|
Zeng S, Han M, Liu F, Long Y, Jiang M, Yang H. Correlation between the positive rate of SAA in children with respiratory tract infection and ambient temperature. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2021; 28:61072-61079. [PMID: 34165746 DOI: 10.1007/s11356-021-15033-8] [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: 03/22/2021] [Accepted: 06/17/2021] [Indexed: 06/13/2023]
Abstract
The purpose of this study was to explore the application of serum amyloid A (SAA) in the outcome of upper respiratory tract infection in children by analyzing the correlation between the change of mean air temperature and the positive rate of SAA detection in children. Daily data on upper respiratory tract infection diseases and weather conditions were collected in 2016-2019. A quasi-Poisson regression with a distributed lag non-linear model was used to examine the association between temperature and SAA-positive rate. The positive rate of SAA had a moderate correlation with the temperature and a weak correlation with relative humidity. Low ambient temperature (7 °C, P1) was related to the increase in the positive rate of SAA, with the effect lag for 0-7 days (RR 1.34 (1.19~1.74)). The increase in the SAA-positive case induced by 27 °C (P75) could last for 0-14 days (RR 1.07 (1.01-1.08)), and high temperature (30 °C, P99) could reduce the positive rate of SAA. Our findings add additional evidence to the adverse effects of sub-optimal ambient temperature and provide useful information for public health programs targeting pediatric patients.
Collapse
Affiliation(s)
- Shanshui Zeng
- Department of Clinical Laboratory, Guangzhou Women and Children's Medical Centre of Guangzhou Medical University, No. 9, Jinsui Road, Guangzhou, 510623, Guangdong, China
| | - Mengru Han
- Department of Clinical Laboratory, Guangzhou Women and Children's Medical Centre of Guangzhou Medical University, No. 9, Jinsui Road, Guangzhou, 510623, Guangdong, China
| | - Fei Liu
- Department of Clinical Laboratory, Guangzhou Women and Children's Medical Centre of Guangzhou Medical University, No. 9, Jinsui Road, Guangzhou, 510623, Guangdong, China
| | - Yan Long
- Department of Clinical Laboratory, Guangzhou Women and Children's Medical Centre of Guangzhou Medical University, No. 9, Jinsui Road, Guangzhou, 510623, Guangdong, China
| | - Ming Jiang
- Department of Clinical Laboratory, Guangzhou Women and Children's Medical Centre of Guangzhou Medical University, No. 9, Jinsui Road, Guangzhou, 510623, Guangdong, China
| | - Hongling Yang
- Department of Clinical Laboratory, Guangzhou Women and Children's Medical Centre of Guangzhou Medical University, No. 9, Jinsui Road, Guangzhou, 510623, Guangdong, China.
| |
Collapse
|
136
|
Kua KP, Lee DSWH. Home environmental interventions for prevention of respiratory tract infections: a systematic review and meta-analysis. REVIEWS ON ENVIRONMENTAL HEALTH 2021; 36:297-307. [PMID: 33544536 DOI: 10.1515/reveh-2020-0169] [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: 12/17/2020] [Accepted: 01/10/2021] [Indexed: 06/12/2023]
Abstract
OBJECTIVES Poor housing conditions have been associated with increased risks of respiratory infections. This review aims to determine whether modifying the physical environment of the home has benefits in reducing respiratory infections. CONTENT We performed a systematic review and meta-analysis of the effectiveness of home environmental interventions for preventing respiratory tract infections. Ten electronic databases were searched to identify randomized controlled trials published from inception to July 31, 2020. Random-effects meta-analyses were used to assess the study outcomes. Our search identified 14 eligible studies across 12 countries, which comprised 87,428 households in total. The type of interventions on home environment included kitchen appliance and design, water supply and sanitation, house insulation, and home heating. Meta-analysis indicated a potential benefit of home environmental interventions in preventing overall respiratory tract infections (Absolute RR=0.89, 95% CI=0.78-1.01, p=0.07; Pooled adjusted RR=0.72, 95% CI=0.63-0.84, p<0.0001). Subgroup analyses depicted that home environmental interventions had no significant impact on lower respiratory tract infections, pneumonia, and severe pneumonia. A protective effect against respiratory infections was observed in high income country setting (RR=0.82, 95% CI=0.78-0.87, p<0.00001). SUMMARY AND OUTLOOK Home environmental interventions have the potential to reduce morbidity of respiratory tract infections. The lack of significant impact from stand-alone housing interventions suggests that multicomponent interventions should be implemented in tandem with high-quality health systems.
Collapse
Affiliation(s)
- Kok Pim Kua
- Puchong Health Clinic, Petaling District Health Office, Ministry of Health Malaysia, Petaling, Malaysia
| | - Dr Shaun Wen Huey Lee
- School of Pharmacy, Monash University, Bandar Sunway, 47500 Subang Jaya, Selangor, Malaysia
- Asian Centre for Evidence Synthesis in Population, Implementation, and Clinical Outcomes (PICO), Health and Well-being Cluster, Global Asia in the 21st Century (GA21) Platform, Monash University, Bandar Sunway, 47500 Subang Jaya, Selangor, Malaysia
- Gerontechnology Laboratory, Global Asia in the 21st Century (GA21) Platform, Monash University, Bandar Sunway, 47500 Subang Jaya, Selangor, Malaysia
- Faculty of Health and Medical Sciences, Taylor's University, Lakeside Campus, 47500 Subang Jaya, Selangor, Malaysia
| |
Collapse
|
137
|
Song J, Pan R, Yi W, Wei Q, Qin W, Song S, Tang C, He Y, Liu X, Cheng J, Su H. Ambient high temperature exposure and global disease burden during 1990-2019: An analysis of the Global Burden of Disease Study 2019. THE SCIENCE OF THE TOTAL ENVIRONMENT 2021; 787:147540. [PMID: 33992940 DOI: 10.1016/j.scitotenv.2021.147540] [Citation(s) in RCA: 34] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/04/2021] [Revised: 04/27/2021] [Accepted: 04/30/2021] [Indexed: 06/12/2023]
Abstract
BACKGROUND A warming climate throughout the 21st century makes ambient high temperature exposure a major threat to population health worldwide. Mitigating the health impact of high temperature requires a timely, comprehensive and reliable assessment of disease burden globally, regionally and temporally. AIM Based on Global Burden of Disease (GBD) Study 2019, this study aimed to evaluate the disease burden attributable to high temperature from various epidemiology perspectives. METHODS A three-stage analysis was undertaken to investigate the number and age-standardized rates of death and disability-adjusted life years (DALY) attributable to high temperature from GBD Study 2019. First, we reported the high temperature-related disease burden for the whole world and for different groups by gender, age, region, country and disease. Second, we examined the temporal trend of the disease burden attributable to high temperature from 1990 to 2019. Finally, we explored if and how the high temperature-related disease burden was modified by a number of country-level indicators. RESULTS Globally, high temperature accounted for 0.54% of death and 0.46% of DALY in 2019, equating to the age-standardized rates of death and DALY (per 100,000 population) of 3.99 (95% uncertainty interval (UI): 2.88, 5.93) and 156.81 (95% UI: 107.98, 261.98), respectively. In 2019, the high temperature-related DALY and death rates were the highest for lower respiratory infections, although they showed a downward trend. In contrast, during 1990-2019, high temperature-related non-communicable diseases burden exhibited an upward trend. Meanwhile, the disease burden attributable to high temperature varied spatially, with the heaviest burden in regions with low sociodemographic index (SDI) and the lightest burden in regions with high SDI. In addition, high temperature-related disease burden appeared to be higher in a country with a higher population density and PM2.5 concentration background but lower in a country with a higher density of greenness. CONCLUSION This study for the first time provided a comprehensive understanding of the global disease burden attributable to high temperature, underscoring the policy priority to protect human health worldwide in the context of global warming with particular attention to vulnerable countries or regions as well as susceptible population and diseases.
Collapse
Affiliation(s)
- Jian Song
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui 230032, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, China
| | - Rubing Pan
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui 230032, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, China
| | - Weizhuo Yi
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui 230032, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, China
| | - Qiannan Wei
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui 230032, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, China
| | - Wei Qin
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui 230032, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, China
| | - Shasha Song
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui 230032, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, China
| | - Chao Tang
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui 230032, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, China
| | - Yangyang He
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui 230032, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, China
| | - Xiangguo Liu
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui 230032, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, China
| | - Jian Cheng
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui 230032, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, China
| | - Hong Su
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui 230032, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, China.
| |
Collapse
|
138
|
Feng F, Ma Y, Zhang Y, Shen J, Wang H, Cheng B, Jiao H. Effects of extreme temperature on respiratory diseases in Lanzhou, a temperate climate city of China. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2021; 28:49278-49288. [PMID: 33932207 DOI: 10.1007/s11356-021-14169-x] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/22/2021] [Accepted: 04/26/2021] [Indexed: 06/12/2023]
Abstract
Under the global climate warming, extreme weather events occur more and more frequently. Epidemiological studies have proved that extreme temperature is strongly correlated with respiratory diseases. We evaluated extreme-temperature effect on respiratory emergency room (ER) visits for 5 years in Lanzhou, a northwest temperate climate city of China from January 1st, 2013, to August 31st, 2017. We built a distributed lag non-linear model (DLNM) to evaluate the lag effect up to 30 days. Results showed the relative risk (RR) of respiratory disease always reached the maximum at lag 0 day and decreased to 1.0 at lag 5 days. Extremely low temperature showed the lag effect of 22 days and the maximum RR was 1.415 (95% CI 1.295-1.546) at lag 0 day. Extremely high temperature showed the lag effect of 7 days and the maximum RR was 1.091 (95% CI 1.069-1.114) at lag 0 day. The elders (age > 65 years) were at the greatest risk to extreme temperatures and the response were very acute. Children (age ≤ 15 years) were at the lowest risk but the lag effect lasted the longest lag days than other subgroups. Males showed longer-term lag effect and higher RR than females. Our study indicated that the extremely low temperature has a significantly greater effect on respiratory diseases than extremely high temperature.
Collapse
Affiliation(s)
- Fengliu Feng
- College of Atmospheric Sciences, Key Laboratory of Semi-Arid Climate Change, Ministry of Education, Lanzhou University, Lanzhou, 730000, China
| | - 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
| | - Jiahui Shen
- College of Atmospheric Sciences, Key Laboratory of Semi-Arid Climate Change, Ministry of Education, Lanzhou University, Lanzhou, 730000, China
| | - Hang Wang
- 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
| | - Haoran Jiao
- College of Atmospheric Sciences, Key Laboratory of Semi-Arid Climate Change, Ministry of Education, Lanzhou University, Lanzhou, 730000, China
| |
Collapse
|
139
|
Amiri M, Peinkhofer C, Othman MH, De Vecchi T, Nersesjan V, Kondziella D. Global warming and neurological practice: systematic review. PeerJ 2021; 9:e11941. [PMID: 34430087 PMCID: PMC8349167 DOI: 10.7717/peerj.11941] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2021] [Accepted: 07/19/2021] [Indexed: 11/20/2022] Open
Abstract
Background Climate change, including global warming, will cause poorer global health and rising numbers of environmental refugees. As neurological disorders account for a major share of morbidity and mortality worldwide, global warming is also destined to alter neurological practice; however, to what extent and by which mechanisms is unknown. We aimed to collect information about the effects of ambient temperatures and human migration on the epidemiology and clinical manifestations of neurological disorders. Methods We searched PubMed and Scopus from 01/2000 to 12/2020 for human studies addressing the influence of ambient temperatures and human migration on Alzheimer’s and non-Alzheimer’s dementia, epilepsy, headache/migraine, multiple sclerosis, Parkinson’s disease, stroke, and tick-borne encephalitis (a model disease for neuroinfections). The protocol was pre-registered with PROSPERO (2020 CRD42020147543). Results Ninety-three studies met inclusion criteria, 84 of which reported on ambient temperatures and nine on migration. Overall, most temperature studies suggested a relationship between increasing temperatures and higher mortality and/or morbidity, whereas results were more ambiguous for migration studies. However, we were unable to identify a single adequately designed study addressing how global warming and human migration will change neurological practice. Still, extracted data indicated multiple ways by which these aspects might alter neurological morbidity and mortality soon. Conclusion Significant heterogeneity exists across studies with respect to methodology, outcome measures, confounders and study design, including lack of data from low-income countries, but the evidence so far suggests that climate change will affect the practice of all major neurological disorders in the near future. Adequately designed studies to address this issue are urgently needed, requiring concerted efforts from the entire neurological community.
Collapse
Affiliation(s)
- Moshgan Amiri
- Department of Neurology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
| | - Costanza Peinkhofer
- Department of Neurology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark.,Medical Faculty, University of Trieste, Trieste, Italy
| | - Marwan H Othman
- Department of Neurology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
| | - Teodoro De Vecchi
- Department of Neurology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark.,Medical Faculty, University of Trieste, Trieste, Italy
| | - Vardan Nersesjan
- Department of Neurology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
| | - Daniel Kondziella
- Department of Neurology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark.,Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| |
Collapse
|
140
|
Zhu D, Zhou Q, Liu M, Bi J. Non-optimum temperature-related mortality burden in China: Addressing the dual influences of climate change and urban heat islands. THE SCIENCE OF THE TOTAL ENVIRONMENT 2021; 782:146760. [PMID: 33836376 DOI: 10.1016/j.scitotenv.2021.146760] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/08/2021] [Revised: 03/22/2021] [Accepted: 03/22/2021] [Indexed: 06/12/2023]
Abstract
Under the dual effects of climate change and urban heat islands (UHI), non-optimum temperature-related mortality burdens are complex and uncertain, and are rarely discussed in China. In this study, by applying city-specific exposure-response functions to multiple temperature and population projections under different climate and urbanization scenarios, we comprehensively assessed the non-optimum temperature-related mortality burdens in China from 2000 to 2050. Our results showed that temperature-related deaths will decrease from 1.19 million in 2010 to 1.08-1.17 million in 2050, with the exception of the most populous scenario. Excess deaths attributable to non-optimal temperatures under representative concentration pathway 8.5 (RCP8.5) were 2.35% greater than those under RCP4.5. This indicates that the surge in heat-related deaths caused by climate change will be offset by the reduction in cold-related deaths. As the climate changes, high-risk areas will be confronted with more severe health challenges, which requires health protection resource relocation strategies. Simultaneously, the net effects of UHIs are beneficial in the historical periods, preventing 3493 (95% CI: 22-6964) deaths in 2000. But UHIs will cause an additional 6951 (95% CI: -17,637-31,539, SSP4-RCP4.5) to 17,041 (95% CI: -10,516-44,598, SSP5-RCP8.5) deaths in 2050. The heavier health burden in RCP8.5 than RCP4.5 indicates that a warmer climate aggravates the negative effects of UHIs. Considering the synergistic behavior of climate change and UHIs, UHI mitigation strategies should not be developed without considering climate change. Moreover, the mortality burden exhibited strong spatial variations, with heavy burdens concentrated in the hotspots including Beijing-Tianjin Metropolitan Region, Yangtze River Delta, Chengdu-Chongqing City Group, Guangzhou, Wuhan, Xi'an, Shandong, and Henan. These hotspots should be priority areas for the allocation of the national medical resources to provide effective public health interventions.
Collapse
Affiliation(s)
- Dianyu Zhu
- State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing, Jiangsu, China.
| | - Qi Zhou
- State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing, Jiangsu, China.
| | - Miaomiao Liu
- State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing, Jiangsu, China.
| | - Jun Bi
- State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing, Jiangsu, China.
| |
Collapse
|
141
|
Rodrigues M, Santana P, Rocha A. Modelling of Temperature-Attributable Mortality among the Elderly in Lisbon Metropolitan Area, Portugal: A Contribution to Local Strategy for Effective Prevention Plans. J Urban Health 2021; 98:516-531. [PMID: 33844122 PMCID: PMC8040763 DOI: 10.1007/s11524-021-00536-z] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 02/26/2021] [Indexed: 11/21/2022]
Abstract
Epidemiological studies on the impact of determining environmental factors on human health have proved that temperature extremes and variability constitute mortality risk factors. However, few studies focus specifically on susceptible individuals living in Portuguese urban areas. This study aimed to estimate and assess the health burden of temperature-attributable mortality among age groups (0-64 years; 65-74 years; 75-84 years; and 85+ years) in Lisbon Metropolitan Area, from 1986-2015. Non-linear and delayed exposure-lag-response relationships between temperature and mortality were fitted with a distributed lag non-linear model (DLNM). In general, the adverse effects of cold and hot temperatures on mortality were greater in the older age groups, presenting a higher risk during the winter season. We found that, for all ages, 10.7% (95% CI: 9.3-12.1%) deaths were attributed to cold temperatures in the winter, and mostly due to moderately cold temperatures, 7.0% (95% CI: 6.2-7.8%), against extremely cold temperatures, 1.4% (95% CI: 0.9-1.8%). When stratified by age, people aged 85+ years were more burdened by cold temperatures (13.8%, 95% CI: 11.5-16.0%). However, for all ages, 5.6% of deaths (95% CI: 2.7-8.4%) can be attributed to hot temperatures. It was observed that the proportion of deaths attributed to exposure to extreme heat is higher than moderate heat. As with cold temperatures, people aged 85+ years are the most vulnerable age group to heat, 8.4% (95% CI: 3.9%, 2.7%), and mostly due to extreme heat, 1.3% (95% CI: 0.8-1.8%). These results provide new evidence on the health burdens associated with alert thresholds, and they can be used in early warning systems and adaptation plans.
Collapse
Affiliation(s)
- Mónica Rodrigues
- Department of Geography and Tourism, Centre of Studies on Geography and Spatial Planning, University of Coimbra, Coimbra, Portugal.
| | - Paula Santana
- Department of Geography and Tourism, Centre of Studies on Geography and Spatial Planning, University of Coimbra, Coimbra, Portugal
| | - Alfredo Rocha
- Department of Physics, Centre for Environmental and Marine Studies, University of Aveiro, Aveiro, Portugal
| |
Collapse
|
142
|
Li N, Ma J, Liu F, Zhang Y, Ma P, Jin Y, Zheng ZJ. Associations of apparent temperature with acute cardiac events and subtypes of acute coronary syndromes in Beijing, China. Sci Rep 2021; 11:15229. [PMID: 34315978 PMCID: PMC8316341 DOI: 10.1038/s41598-021-94738-9] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2021] [Accepted: 07/07/2021] [Indexed: 11/09/2022] Open
Abstract
Limited evidence is available on apparent temperature (AT) and hospital admissions for acute cardiac events. We examined the associations of AT with admissions for acute cardiac events and acute coronary syndrome (ACS), and explored the effect difference between ST-elevation myocardial infarction (STEMI) and non-ST-elevation myocardial infarction ACS (NSTE-ACS). Poisson regression with distributed lag non-linear model was applied to examine the temperature-lag-admission associations. Stratified analyses were performed by gender and age-groups for acute cardiac events. A total of 11,657 acute cardiac events admissions were collected from hospital-based chest pain centers in Beijing, during 2017-2019. The single day effect of low AT (- 11 °C, 2.5th percentile) appeared on the 2nd day and persisted until the 11th day, with estimated relative risk (RR) ranging from 1.44 (95% CI: 1.159, 1.790) to 1.084 (95% CI: 1.022, 1.150) for acute cardiac events and from 1.034 (95% CI: 1.010, 1.059) to 1.006 (95% CI: 1.000, 1.011) for ACS. The single day effect of high AT (34 °C, 97.5th percentile) was only observed on the current day. The cold effect on acute cardiac events was more pronounced among female and older patients. The cumulative effect of high AT on STEMI admissions and low AT on NSTE-ACS reached a peak RR peak of 2.545 (95% CI: 1.016, 6.375) and 3.71 (95% CI: 1.315, 10.469) on lag 0-6 days, respectively. Both high and low ATs were associated with increased risk of acute cardiac events and ACS admissions. STEMI admissions may be more sensitive to high AT while NSTE-ACS to low AT.
Collapse
Affiliation(s)
- Na Li
- Department of Global Health, Peking University School of Public Health, 38 Xue Yuan Road, Haidian District, Beijing, 100191, China.,Institute for Global Health and Development, Peking University, Beijing, China
| | - Junxiong Ma
- Department of Global Health, Peking University School of Public Health, 38 Xue Yuan Road, Haidian District, Beijing, 100191, China.,Institute for Global Health and Development, Peking University, Beijing, China
| | - Fangjing Liu
- Department of Global Health, Peking University School of Public Health, 38 Xue Yuan Road, Haidian District, Beijing, 100191, China.,Institute for Global Health and Development, Peking University, Beijing, China
| | - Yan Zhang
- Institute of Cardiovascular Disease, Peking University First Hospital, Beijing, China
| | - Pengkun Ma
- Institute of Urban Meteorology, Chinese Meteorological Administration, Beijing, China
| | - Yinzi Jin
- Department of Global Health, Peking University School of Public Health, 38 Xue Yuan Road, Haidian District, Beijing, 100191, China. .,Institute for Global Health and Development, Peking University, Beijing, China.
| | - Zhi-Jie Zheng
- Department of Global Health, Peking University School of Public Health, 38 Xue Yuan Road, Haidian District, Beijing, 100191, China.,Institute for Global Health and Development, Peking University, Beijing, China
| |
Collapse
|
143
|
Zafirah Y, Lin YK, Andhikaputra G, Deng LW, Sung FC, Wang YC. Mortality and morbidity of asthma and chronic obstructive pulmonary disease associated with ambient environment in metropolitans in Taiwan. PLoS One 2021; 16:e0253814. [PMID: 34228742 PMCID: PMC8259956 DOI: 10.1371/journal.pone.0253814] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2021] [Accepted: 06/11/2021] [Indexed: 11/18/2022] Open
Abstract
Background This study investigated risks of mortality from and morbidity (emergency room visits (ERVs) and outpatient visits) of asthma and chronic obstructive pulmonary disease (COPD) associated with extreme temperatures, fine particulate matter (PM2.5), and ozone (O3) by sex, and age, from 2005 to 2016 in 6 metropolitan cities in Taiwan. Methods The distributed lag non-linear model was employed to assess age (0–18, 19–39, 40–64, and 65 years and above), sex-cause-specific deaths, ERVs, and outpatient visits associated with extreme high (99th percentile) and low (5th percentile) temperatures and PM2.5 and O3 concentrations at 90th percentile. Random-effects meta-analysis was adopted to investigate cause-specific pooled relative risk (RR) and 95% confidence intervals (CI) for the whole studied areas. Results Only the mortality risk of COPD in the elderly men was significantly associated with the extreme low temperatures. Exposure to the 90th percentile PM2.5 was associated with outpatient visits for asthma in 0–18 years old boys [RR = 1.15 (95% CI: 1.09–1.22)]. Meanwhile, significant elevation of ERVs of asthma for females aged 40–64 years was associated with exposure to ozone, with the highest RR of 1.21 (95% CI: 1.05–1.39). Conclusions This study identified vulnerable subpopulations who were at risk to extreme events associated with ambient environments deserving further evaluation for adaptation.
Collapse
Affiliation(s)
- Yasmin Zafirah
- Department of Environmental Engineering, College of Engineering, Chung Yuan Christian University, Zhongli, Taiwan
| | - Yu-Kai Lin
- Department of Health and Welfare, University of Taipei College of City Management, Taipei, Taiwan
| | - Gerry Andhikaputra
- Department of Environmental Engineering, College of Engineering, Chung Yuan Christian University, Zhongli, Taiwan
| | - Li-Wen Deng
- Department of Environmental Engineering, College of Engineering, Chung Yuan Christian University, Zhongli, Taiwan
| | - Fung-Chang Sung
- Management Office for Health Data, China Medical University Hospital, Taichung, Taiwan
- Department of Health Services Administration, China Medical University, Taichung, Taiwan
- Department of Food Nutrition and Health Biotechnology, Asia University, Taichung, Taiwan
| | - Yu-Chun Wang
- Department of Environmental Engineering, College of Engineering, Chung Yuan Christian University, Zhongli, Taiwan
- Research Center for Environmental Changes, Academia Sinica, Nankang, Taipei, Taiwan
- * E-mail: ,
| |
Collapse
|
144
|
Hung SC, Yang CC, Liu CF, Kung CT, Lee WH, Ho CK, Chuang HY, Yu HS. The Association Pattern between Ambient Temperature Change and Leukocyte Counts. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph18136971. [PMID: 34209878 PMCID: PMC8296857 DOI: 10.3390/ijerph18136971] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/17/2021] [Revised: 06/25/2021] [Accepted: 06/25/2021] [Indexed: 11/16/2022]
Abstract
Ambient temperature change is one of the risk factors of human health. Moreover, links between white blood cell counts (WBC) and diseases have been revealed in the literature. Still, we do not know of any association between ambient temperature change and WBC counts. The aim of our study is to investigate the relationship between ambient temperature change and WBC counts. We conducted this two-year population-based observational study in Kaohsiung city, recruiting voluntary community participants. Total WBC and differential counts, demographic data and health hazard habits were collected and matched with the meteorological data of air-quality monitoring stations with participants’ study dates and addresses. Generalized additive models (GAM) with penalized smoothing spline functions were performed for the trend of temperature changes and WBC counts. There were 9278 participants (45.3% male, aged 54.3 ± 5.9 years-old) included in analysis. Compared with stable weather conditions, the WBC counts were statistically higher when the one-day lag temperature changed over 2 degrees Celsius, regardless of whether colder or hotter. We found a V-shaped pattern association between WBC counts and temperature changes in GAM. The ambient temperature change was associated with WBC counts, and might imply an impact on systematic inflammation response.
Collapse
Affiliation(s)
- Shih-Chiang Hung
- Department of Public Health, College of Health Sciences, Kaohsiung Medical University, Kaohsiung 807, Taiwan; (S.-C.H.); (C.-K.H.)
- Department of Emergency Medicine, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung 83301, Taiwan; (C.-F.L.); (C.-T.K.); (W.-H.L.)
| | - Chen-Cheng Yang
- Department of Occupational Medicine and Family Medicine, Kaohsiung Municipal Siaogang Hospital and Kaohsiung Medical University, Kaohsiung 807, Taiwan;
| | - Chu-Feng Liu
- Department of Emergency Medicine, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung 83301, Taiwan; (C.-F.L.); (C.-T.K.); (W.-H.L.)
| | - Chia-Te Kung
- Department of Emergency Medicine, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung 83301, Taiwan; (C.-F.L.); (C.-T.K.); (W.-H.L.)
| | - Wen-Huei Lee
- Department of Emergency Medicine, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung 83301, Taiwan; (C.-F.L.); (C.-T.K.); (W.-H.L.)
| | - Chi-Kung Ho
- Department of Public Health, College of Health Sciences, Kaohsiung Medical University, Kaohsiung 807, Taiwan; (S.-C.H.); (C.-K.H.)
- Department of Occupational and Environmental Medicine, Kaohsiung Medical University Hospital, Kaohsiung 807, Taiwan
| | - Hung-Yi Chuang
- Department of Occupational and Environmental Medicine, Kaohsiung Medical University Hospital, Kaohsiung 807, Taiwan
- Department of Public Health and Environmental Medicine, Research Center for Environmental Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung 807, Taiwan
- Correspondence: ; Tel.: +886-7312-1101
| | - Hsin-Su Yu
- College of Medicine, Kaohsiung Medical University, Kaohsiung 807, Taiwan;
| |
Collapse
|
145
|
Tian F, Liu X, Chao Q, Qian ZM, Zhang S, Qi L, Niu Y, Arnold LD, Zhang S, Li H, Lin H, Liu Q. Ambient air pollution and low temperature associated with case fatality of COVID-19: A nationwide retrospective cohort study in China. Innovation (N Y) 2021; 2:100139. [PMID: 34189495 PMCID: PMC8226106 DOI: 10.1016/j.xinn.2021.100139] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2020] [Accepted: 06/16/2021] [Indexed: 12/12/2022] Open
Abstract
The evidence for the effects of environmental factors on COVID-19 case fatality remains controversial, and it is crucial to understand the role of preventable environmental factors in driving COVID-19 fatality. We thus conducted a nationwide cohort study to estimate the effects of environmental factors (temperature, particulate matter [PM2.5, PM10], sulfur dioxide [SO2], nitrogen dioxide [NO2], and ozone [O3]) on COVID-19 case fatality. A total of 71,808 confirmed COVID-19 cases were identified and followed up for their vital status through April 25, 2020. Exposures to ambient air pollution and temperature were estimated by linking the city- and county-level monitoring data to the residential community of each participant. For each participant, two windows were defined: the period from symptom onset to diagnosis (exposure window I) and the period from diagnosis date to date of death/recovery or end of the study period (exposure window II). Cox proportional hazards models were used to estimate the associations between these environmental factors and COVID-19 case fatality. COVID-19 case fatality increased in association with environmental factors for the two exposure windows. For example, each 10 μg/m3 increase in PM2.5, PM10, O3, and NO2 in window I was associated with a hazard ratio of 1.11 (95% CI 1.09, 1.13), 1.10 (95% CI 1.08, 1.13), 1.09 (95 CI 1.03, 1.14), and 1.27 (95% CI 1.19, 1.35) for COVID-19 fatality, respectively. A significant effect was also observed for low temperature, with a hazard ratio of 1.03 (95% CI 1.01, 1.04) for COVID-19 case fatality per 1°C decrease. Subgroup analysis indicated that these effects were stronger in the elderly, as well as in those with mild symptoms and living in Wuhan or Hubei. Overall, the sensitivity analyses also yielded consistent estimates. Short-term exposure to ambient air pollution and low temperature during the illness would play a nonnegligible part in causing case fatality due to COVID-19. Reduced exposures to high concentrations of PM2.5, PM10, O3, SO2, and NO2 and low temperature would help improve the prognosis and reduce public health burden.
Collapse
Affiliation(s)
- Fei Tian
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Xiaobo Liu
- State Key Laboratory of Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, WHO Collaborating Centre for Vector Surveillance and Management, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - Qingchen Chao
- Laboratory for Climate Studies, National Climate Center, China Meteorological Administration, Beijing 100081, China
| | - Zhengmin Min Qian
- Department of Epidemiology and Biostatistics, College for Public Health & Social Justice, Saint Louis University, 3545 Lafayette Avenue, Saint Louis, MO 63104, USA
| | - Siqi Zhang
- Laboratory for Climate Studies, National Climate Center, China Meteorological Administration, Beijing 100081, China
| | - Li Qi
- State Key Laboratory of Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, WHO Collaborating Centre for Vector Surveillance and Management, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - Yanlin Niu
- State Key Laboratory of Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, WHO Collaborating Centre for Vector Surveillance and Management, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - Lauren D Arnold
- Department of Epidemiology and Biostatistics, College for Public Health & Social Justice, Saint Louis University, 3545 Lafayette Avenue, Saint Louis, MO 63104, USA
| | - Shiyu Zhang
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Huan Li
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Hualiang Lin
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Qiyong Liu
- State Key Laboratory of Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, WHO Collaborating Centre for Vector Surveillance and Management, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| |
Collapse
|
146
|
Kan H. Climate Change, Weather Conditions, and Population Health. China CDC Wkly 2021; 3:483-484. [PMID: 34594918 PMCID: PMC8422231 DOI: 10.46234/ccdcw2021.124] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2021] [Accepted: 06/01/2021] [Indexed: 11/14/2022] Open
Affiliation(s)
- Haidong Kan
- School of Public Health, IRDR ICoE on Risk Interconnectivity and Governance on Weather/Climate Extremes Impact and Public Health, Fudan University, Shanghai, China
| |
Collapse
|
147
|
Ma C, Yang J, Nakayama SF, Iwai-Shimada M, Jung CR, Sun XL, Honda Y. Cold Spells and Cause-Specific Mortality in 47 Japanese Prefectures: A Systematic Evaluation. ENVIRONMENTAL HEALTH PERSPECTIVES 2021; 129:67001. [PMID: 34128690 PMCID: PMC8204943 DOI: 10.1289/ehp7109] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/04/2023]
Abstract
BACKGROUND Many studies have investigated the devastating health effects of heat waves, but less is known about health risks related to cold spells, despite evidence that extreme cold may contribute to a larger proportion of deaths. OBJECTIVES We aimed to systematically investigate the association between cold spells and mortality in Japan. METHODS Daily data for weather conditions and 12 common causes of death during the 1972-2015 cold seasons (November-March) were obtained from 47 Japanese prefectures. Cold spells were defined as ≥2 consecutive days with daily mean temperatures ≤5th percentile for the cold season in each prefecture. Quasi-Poisson regression was combined with a distributed lag model to estimate prefecture-specific associations, and pooled associations at the national level were obtained through random-effects meta-analysis. The potential influence of cold spell characteristics (intensity, duration, and timing in season) on associations between cold spells and mortality was examined using a similar two-stage approach. Temporal trends were investigated using a meta-regression model. RESULTS A total of 18,139,498 deaths were recorded during study period. Mortality was significantly higher during cold spell days vs. other days for all selected causes of death. Mortality due to age-related physical debilitation was more strongly associated with cold spells than with other causes of death. Associations between cold spells and mortality from all causes and several more specific outcomes were stronger for longer and more intense cold spells and for cold spells earlier in the cold season. However, although all outcomes were positively associated with cold spell duration, findings for cold spell intensity and seasonal timing were heterogeneous across the outcomes. Associations between cold spells and mortality due to cerebrovascular disease, cerebral infarction, and age-related physical debility decreased in magnitude over time, whereas temporal trends were relatively flat for all-cause mortality and other outcomes. DISCUSSION Our findings may have implications for establishing tailored public health strategies to prevent avoidable cold spell-related health consequences. https://doi.org/10.1289/EHP7109.
Collapse
Affiliation(s)
- Chaochen Ma
- Center for Health and Environmental Risk Research, National Institute for Environmental Studies, Tsukuba, Ibaraki, Japan
| | - Jun Yang
- Institute for Environmental and Climate Research, Jinan University, Guangzhou, Guangdong, China
| | - Shoji F. Nakayama
- Center for Health and Environmental Risk Research, National Institute for Environmental Studies, Tsukuba, Ibaraki, Japan
| | - Miyuki Iwai-Shimada
- Center for Health and Environmental Risk Research, National Institute for Environmental Studies, Tsukuba, Ibaraki, Japan
| | - Chau-Ren Jung
- Center for Health and Environmental Risk Research, National Institute for Environmental Studies, Tsukuba, Ibaraki, Japan
| | - Xian-Liang Sun
- Center for Health and Environmental Risk Research, National Institute for Environmental Studies, Tsukuba, Ibaraki, Japan
| | - Yasushi Honda
- Faculty of Health and Sport Sciences, University of Tsukuba, Tsukuba, Ibaraki, Japan
| |
Collapse
|
148
|
Fang J, Song J, Wu R, Xie Y, Xu X, Zeng Y, Zhu Y, Wang T, Yuan N, Xu H, Song X, Zhang Q, Xu B, Huang W. Association between ambient temperature and childhood respiratory hospital visits in Beijing, China: a time-series study (2013-2017). ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2021; 28:29445-29454. [PMID: 33555475 DOI: 10.1007/s11356-021-12817-w] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/23/2020] [Accepted: 02/01/2021] [Indexed: 06/12/2023]
Abstract
Little is known on the potential impact of temperature on respiratory morbidity, especially for children whose respiratory system can be more vulnerable to climate changes. In this time-series study, Poisson generalized additive models combined with distributed lag nonlinear models were used to assess the associations between ambient temperature and childhood respiratory morbidity. The impacts of extreme cold and hot temperatures were calculated as cumulative relative risks (cum.RRs) at the 1st and 99th temperature percentiles relative to the minimum morbidity temperature percentile. Attributable fractions of respiratory morbidity due to cold or heat were calculated for temperatures below or above the minimum morbidity temperature. Effect modifications by air pollution, age, and sex were assessed in stratified analyses. A total of 877,793 respiratory hospital visits of children under 14 years old between 2013 and 2017 were collected from Beijing Children's Hospital. Overall, we observed J-shaped associations with greater respiratory morbidity risks for exposure to lower temperatures, and higher fraction of all-cause respiratory hospital visits was caused by cold (33.1%) than by heat (0.9%). Relative to the minimum morbidity temperature (25 °C, except for rhinitis, which is 31 °C), the cum.RRs for extreme cold temperature (-6 °C) were 2.64 (95%CI: 1.51-4.61) for all-cause respiratory hospital visits, 2.73 (95%CI: 1.44-5.18) for upper respiratory infection, 2.76 (95%CI: 1.56-4.89) for bronchitis, 2.12 (95%CI: 1.30-3.47) for pneumonia, 2.06 (95%CI: 1.27-3.34) for rhinitis, and 4.02 (95%CI: 2.14-7.55) for asthma, whereas the associations between extreme hot temperature (29 °C) and respiratory hospital visits were not significant. The impacts of extreme cold temperature on asthma hospital visits were greater at higher levels of ozone (O3) exposure (> 50th percentile). Our findings suggest significantly increased childhood respiratory morbidity risks at extreme cold temperature, and the impact of extreme cold temperature on asthma hospital visits can be enhanced under higher level exposure to O3.
Collapse
Affiliation(s)
- Jiakun Fang
- Department of Occupational and Environmental Health, School of Public Health, Peking University, Beijing, China
| | - Jing Song
- Beijing Children's Hospital, Capital Medical University, Beijing, China
| | - Rongshan Wu
- Department of Occupational and Environmental Health, School of Public Health, Peking University, Beijing, China
- State Key Laboratory of Environmental Criteria and Risk Assessment, State Environmental Protection Key Laboratory of Ecological Effect and Risk Assessment of Chemicals, Chinese Research Academy of Environmental Sciences, Beijing, China
| | - Yunfei Xie
- Department of Occupational and Environmental Health, School of Public Health, Peking University, Beijing, China
| | - Xin Xu
- Beijing Children's Hospital, Capital Medical University, Beijing, China
| | - Yueping Zeng
- Beijing Children's Hospital, Capital Medical University, Beijing, China
| | - Yutong Zhu
- Department of Occupational and Environmental Health, School of Public Health, Peking University, Beijing, China
| | - Tong Wang
- Department of Occupational and Environmental Health, School of Public Health, Peking University, Beijing, China
| | - Ningman Yuan
- Department of Occupational and Environmental Health, School of Public Health, Peking University, Beijing, China
| | - Hongbing Xu
- Department of Occupational and Environmental Health, School of Public Health, Peking University, Beijing, China
| | - Xiaoming Song
- Department of Occupational and Environmental Health, School of Public Health, Peking University, Beijing, China
| | - Qinghong Zhang
- Department of Atmospheric and Oceanic Sciences, School of Physics, Peking University, Beijing, China
| | - Baoping Xu
- Beijing Children's Hospital, Capital Medical University, Beijing, China.
| | - Wei Huang
- Department of Occupational and Environmental Health, School of Public Health, Peking University, Beijing, China.
- Key Laboratory of Molecular Cardiovascular Sciences of Ministry of Education, Peking University, Beijing, China.
| |
Collapse
|
149
|
Qiu C, Ji JS, Bell ML. Effect modification of greenness on temperature-mortality relationship among older adults: A case-crossover study in China. ENVIRONMENTAL RESEARCH 2021; 197:111112. [PMID: 33838131 PMCID: PMC8343965 DOI: 10.1016/j.envres.2021.111112] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/23/2020] [Revised: 03/20/2021] [Accepted: 03/28/2021] [Indexed: 05/05/2023]
Abstract
BACKGROUND Climate change exacerbates temperature-related mortality, but effects may vary by geographic characteristics. We hypothesize that higher greenness may mitigate temperature-related mortality, and that the effect may vary in different areas. OBJECTIVE We examined how mortality among older adults in China was associated with temperature for 2000-2014, and how geolocation and residential greenness may modulate this association. METHODS We used health data from the China Longitudinal Healthy Longevity Survey (CLHLS), and meteorological data from the Global Surface Summary of Day (GSOD) product by National Climate Data Center. We used a case-crossover study design with distributed nonlinear modeling to estimate mortality risks in relation to temperature, and stratified analysis by quartile of greenness. Greenness was estimated by Normalized Difference Vegetation Index (NDVI) from remote-sensed imagery. In addition to the national analysis, we also assessed three provinces (Jiangsu, Guangdong, and Liaoning) to examine differences by climatic regions. RESULTS Extreme temperatures had a significant association with higher mortality, with regional differences. Findings from the national analysis suggest that individuals in the lowest quartile of greenness exposure had a ratio of relative risks (RRR) of 1.38 (0.79, 2.42) for mortality risk on extreme hot days at the 95th percentile compared to those at the 50th percentile, compared to those in the highest quartile, which means those residing in the lowest quartile of greenness had a 38% higher RR than those residing in the highest quartile of greenness, where RR refers to the risk of mortality on days at the 95th percentile of temperature compared to days at the 50th percentile. The RRR for the highest to lowest quartiles of greenness for mortality risk on extreme cold days at the 5th percentile compared to the 50th percentile was 2.08 (0.12, 36.2). In Jiangsu and Guangdong provinces, both the heat effects and cold effects were the lowest in the highest greenness quartile, and the results in Liaoning province were not statistically significant, indicating different regional effects of greenness on modulating the temperature-mortality relationship. DISCUSSION We elucidated one pathway through which greenness benefits health by decreasing impact from extreme high temperatures. The effects of greenness differed by climatic regions. Policymakers should consider vegetation in the context of climate change and health.
Collapse
Affiliation(s)
- Chengcheng Qiu
- School of Public Health, Yale University, New Haven, CT, USA
| | - John S Ji
- Environmental Research Center, Duke Kunshan University, Kunshan, Jiangsu, China; Nicholas School of the Environment, Duke University, Durham, NC, USA.
| | - Michelle L Bell
- School of Forestry and Environmental Studies, Yale University, New Haven, CT, USA
| |
Collapse
|
150
|
Thomas N, Ebelt ST, Newman AJ, Scovronick N, D’Souza RR, Moss SE, Warren JL, Strickland MJ, Darrow LA, Chang HH. Time-series analysis of daily ambient temperature and emergency department visits in five US cities with a comparison of exposure metrics derived from 1-km meteorology products. Environ Health 2021; 20:55. [PMID: 33962633 PMCID: PMC8106140 DOI: 10.1186/s12940-021-00735-w] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2020] [Accepted: 04/22/2021] [Indexed: 06/12/2023]
Abstract
BACKGROUND Ambient temperature observations from single monitoring stations (usually located at the major international airport serving a city) are routinely used to estimate heat exposures in epidemiologic studies. This method of exposure assessment does not account for potential spatial variability in ambient temperature. In environmental health research, there is increasing interest in utilizing spatially-resolved exposure estimates to minimize exposure measurement error. METHODS We conducted time-series analyses to investigate short-term associations between daily temperature metrics and emergency department (ED) visits for well-established heat-related morbidities in five US cities that represent different climatic regions: Atlanta, Los Angeles, Phoenix, Salt Lake City, and San Francisco. In addition to airport monitoring stations, we derived several exposure estimates for each city using a national meteorology data product (Daymet) available at 1 km spatial resolution. RESULTS Across cities, we found positive associations between same-day temperature (maximum or minimum) and ED visits for heat-sensitive outcomes, including acute renal injury and fluid and electrolyte imbalance. We also found that exposure assessment methods accounting for spatial variability in temperature and at-risk population size often resulted in stronger relative risk estimates compared to the use of observations at airports. This pattern was most apparent when examining daily minimum temperature and in cities where the major airport is located further away from the urban center. CONCLUSION Epidemiologic studies based on single monitoring stations may underestimate the effect of temperature on morbidity when the station is less representative of the exposure of the at-risk population.
Collapse
Affiliation(s)
- Nikita Thomas
- Department of Biostatistics and Bioinformatics, Emory University, Atlanta, USA
| | - Stefanie T. Ebelt
- Gangarosa Department of Environmental Health, Emory University, Atlanta, USA
| | - Andrew J. Newman
- Research Applications Laboratory, National Center for Atmospheric Research, Boulder, USA
| | - Noah Scovronick
- Gangarosa Department of Environmental Health, Emory University, Atlanta, USA
| | - Rohan R. D’Souza
- Department of Biostatistics and Bioinformatics, Emory University, Atlanta, USA
| | - Shannon E. Moss
- Department of Biostatistics and Bioinformatics, Emory University, Atlanta, USA
| | | | | | - Lyndsey A. Darrow
- School of Community Health Sciences, University of Nevada Reno, Reno, USA
| | - Howard H. Chang
- Department of Biostatistics and Bioinformatics, Emory University, Atlanta, USA
- Gangarosa Department of Environmental Health, Emory University, Atlanta, USA
| |
Collapse
|