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Huang JY, Feng W, Sang GX, McDonald S, He TF, Lin Y. Association between short-term exposure to ambient air pollutants and the risk of hospital visits for acute upper respiratory tract infections among adults: a time-series study in Ningbo, China. BMC Public Health 2024; 24:1555. [PMID: 38858655 PMCID: PMC11163729 DOI: 10.1186/s12889-024-19030-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2024] [Accepted: 05/31/2024] [Indexed: 06/12/2024] Open
Abstract
OBJECTIVES Acute upper respiratory tract infections (AURTIs) are prevalent in the general population. However, studies on the association of short-term exposure to air pollution with the risk of hospital visits for AURTIs in adults are limited. This study aimed to explore the short-term exposure to air pollutants among Chinese adults living in Ningbo. METHODS Quasi-Poisson time serious regressions with distributed lag non-linear models (DLNM) were applied to explore the association between ambient air pollution and AURTIs cases. Patients ≥ 18 years who visit three hospitals, being representative for urban, urban-rural junction and rural were included in this retrospective study. RESULTS In total, 104,441 cases with AURTIs were enrolled in hospital during 2015-2019. The main results showed that particulate matter with an aerodynamic diameter less than 2.5 μm (PM2.5), nitrogen dioxide (NO2) and nitrogen dioxide (SO2), were positively associated to hospital visits for AURTIs, except for nitrogen dioxide (O3), which was not statistically significant. The largest single-lag effect for PM2.5 at lag 8 days (RR = 1.02, 95%CI: 1.08-1.40), for NO2 at lag 13 days (RR = 1.03, 95%CI: 1.00-1.06) and for SO2 at lag 5 days (RR = 1.27, 95%CI: 1.08-1.48), respectively. In the stratified analysis, females, and young adults (18-60 years) were more vulnerable to PM2.5 and SO2 and the effect was greater in rural areas and urban-rural junction. CONCLUSIONS Exposure to ambient air pollution was significantly associated with hospital visits for AURTIs. This study provides epidemiological evidence for policymakers to control better air quality and establish an enhanced system of air pollution alerts.
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Affiliation(s)
- Jin-Ying Huang
- Nottingham Ningbo GRADE Centre, School of Economics, Faculty of Humanities and Social Sciences, University of Nottingham, Ningbo, China
| | - Wei Feng
- Fenghua District Center for Disease Control and Prevention, Ningbo, China
| | - Guo-Xin Sang
- Ningbo Municipal Center for Disease Control and Prevention, 1166, Fanjiangan Road, Ningbo, 315010, China
| | - Stuart McDonald
- Nottingham Ningbo GRADE Centre, School of Economics, Faculty of Humanities and Social Sciences, University of Nottingham, Ningbo, China
| | - Tian-Feng He
- Ningbo Municipal Center for Disease Control and Prevention, 1166, Fanjiangan Road, Ningbo, 315010, China.
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing, China.
| | - Yi Lin
- Nottingham Ningbo GRADE Centre, School of Economics, Faculty of Humanities and Social Sciences, University of Nottingham, Ningbo, China.
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Jiang X, Li C, Yue Q, Wei Y, Wang Y, Lao XQ, Lin G, Chong KC. Effect of environmental exposome and influenza infection on febrile seizure in children over 22 years: a time series analysis. INTERNATIONAL JOURNAL OF BIOMETEOROLOGY 2024:10.1007/s00484-024-02711-8. [PMID: 38819443 DOI: 10.1007/s00484-024-02711-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/18/2023] [Revised: 04/09/2024] [Accepted: 05/19/2024] [Indexed: 06/01/2024]
Abstract
Febrile seizures are convulsions predominately occurring in young children. The effects of various exposomes, including influenza infection and external environmental factors, on febrile seizures have not been well-studied. In this study, we elucidated the relationships between ambient temperature, air pollutants, influenza infection, and febrile seizures using 22-year territory-wide hospitalization data in Hong Kong. The aggregated data were matched with the meteorological records and air pollutant concentrations. All-type and type-specific influenza-like illness positive (ILI+) rates were used as proxies for influenza activity. Distributed lag non-linear model in conjunction with the quasi-poisson generalized additive model was used to examine the associations of interest. According to the results, all-type influenza infections were significantly associated with an increased risk of hospital admissions for febrile seizures (cumulative adjusted relative risk [ARR] = 1.59 at 95th percentile vs. 0; 95% CI, 1.51-1.68). The effect of ILI + A/H3N2 on febrile seizure was more pronounced than other type-specific ILI + rates. A low mean ambient temperature was identified as a significant risk factor for febrile seizures (cumulative ARR = 1.50 at 5th percentile vs. median; 95% CI, 1.35-1.66), while the redox-weighted oxidant capacity and sulfur dioxide were not associated with febrile seizures. In conclusion, our study underscores that influenza infections and exposure to cold conditions were related to an increased risk of febrile seizures in children. Thus, we advocate for influenza vaccination before the onset of the cold season for children to mitigate the burden of febrile seizures.
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Affiliation(s)
- Xiaoting Jiang
- Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, Prince of Wales Hospital, Shatin, New Territories, China
| | - Conglu Li
- Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, Prince of Wales Hospital, Shatin, New Territories, China
| | - Qianying Yue
- Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, Prince of Wales Hospital, Shatin, New Territories, China
| | - Yuchen Wei
- Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, Prince of Wales Hospital, Shatin, New Territories, China
- Centre for Health Systems and Policy Research, The Chinese University of Hong Kong, Shenzhen, Hong Kong Special Administrative Region, China
| | - Yawen Wang
- Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, Prince of Wales Hospital, Shatin, New Territories, China
| | - Xiang Qian Lao
- Department of Biomedical Sciences, City University of Hong Kong, Kowloon, Hong Kong Special Administrative Region, China
| | - Guozhang Lin
- Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, Prince of Wales Hospital, Shatin, New Territories, China
| | - Ka Chun Chong
- Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, Prince of Wales Hospital, Shatin, New Territories, China.
- Centre for Health Systems and Policy Research, The Chinese University of Hong Kong, Shenzhen, Hong Kong Special Administrative Region, China.
- Clinical Trials and Biostatistics Laboratory, Shenzhen Research Institute, The Chinese University of Hong Kong, Shenzhen, China.
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Li X, Zhang Y, Tian Z, Wang J, Zhao J, Lyu Y, Ni Y, Guo Y, Cui Z, Zhang W, Li C. Lag effect of ambient temperature on respiratory emergency department visits in Beijing: a time series and pooled analysis. BMC Public Health 2024; 24:1363. [PMID: 38773497 PMCID: PMC11106889 DOI: 10.1186/s12889-024-18839-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2023] [Accepted: 05/13/2024] [Indexed: 05/23/2024] Open
Abstract
BACKGROUND Although the association between ambient temperature and mortality of respiratory diseases was numerously documented, the association between various ambient temperature levels and respiratory emergency department (ED) visits has not been well studied. A recent investigation of the association between respiratory ED visits and various levels of ambient temperature was conducted in Beijing, China. METHODS Daily meteorological data, air pollution data, and respiratory ED visits data from 2017 to 2018 were collected in Beijing. The relationship between ambient temperature and respiratory ED visits was explored using a distributed lagged nonlinear model (DLNM). Then we performed subgroup analysis based on age and gender. Finally, meta-analysis was utilized to aggregate the total influence of ambient temperature on respiratory ED visits across China. RESULTS The single-day lag risk for extreme cold peaked at a relative risk (RR) of 1.048 [95% confidence interval (CI): 1.009, 1.088] at a lag of 21 days, with a long lag effect. As for the single-day lag risk for extreme hot, a short lag effect was shown at a lag of 7 days with an RR of 1.076 (95% CI: 1.038, 1.114). The cumulative lagged effects of both hot and cold effects peaked at lag 0-21 days, with a cumulative risk of the onset of 3.690 (95% CI: 2.133, 6.382) and 1.641 (95% CI: 1.284, 2.098), respectively, with stronger impact on the hot. Additionally, the elderly were more sensitive to ambient temperature. The males were more susceptible to hot weather than the females. A longer cold temperature lag effect was found in females. Compared with the meta-analysis, a pooled effect of ambient temperature was consistent in general. In the subgroup analysis, a significant difference was found by gender. CONCLUSIONS Temperature level, age-specific, and gender-specific effects between ambient temperature and the number of ED visits provide information on early warning measures for the prevention and control of respiratory diseases.
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Affiliation(s)
- Xuan Li
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Heping District, Tianjin, 300070, P.R. China
| | - Yongming Zhang
- Department of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, China-Japan Friendship Hospital, National Clinical Research Center for Respiratory Diseases, Beijing, China
| | - Zhenbiao Tian
- Beijing Red Cross Emergency Center, Beijing, 100085, China
| | - Jianping Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Heping District, Tianjin, 300070, P.R. China
| | - Jinhua Zhao
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Heping District, Tianjin, 300070, P.R. China
| | - Yuanjun Lyu
- Department of Endocrinology, Tianjin Hospital, Tianjin, China
| | - Ying Ni
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Heping District, Tianjin, 300070, P.R. China
| | - Yuming Guo
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Zhuang Cui
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Heping District, Tianjin, 300070, P.R. China
| | - Wenyi Zhang
- Chinese PLA Center for Disease Control and Prevention, 20 Dong-Da Street, Fengtai District, Beijing, 100071, People's Republic of China.
| | - Changping Li
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Heping District, Tianjin, 300070, P.R. China.
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Motlogeloa O, Fitchett JM. Assessing the impact of climatic variability on acute respiratory diseases across diverse climatic zones in South Africa. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 918:170661. [PMID: 38320698 DOI: 10.1016/j.scitotenv.2024.170661] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/21/2023] [Revised: 02/01/2024] [Accepted: 02/01/2024] [Indexed: 02/13/2024]
Abstract
Acute respiratory diseases are a significant public health concern in South Africa, with climatic variables such as temperature and rainfall being key influencers. This study investigates the associations between these variables and the prevalence of acute respiratory diseases in Johannesburg, Cape Town, and Gqeberha (Port Elizabeth), representing distinct climatic zones. Spearman's correlation analyses showed negative correlations in Johannesburg for respiratory disease claims with maximum temperature (r = -0.12, p < 0.0001) and mean temperature (r = -0.13, p < 0.0001), and a negative correlation with daily rainfall (r = -0.12, p < 0.0001). Cape Town demonstrated a negative correlation with maximum temperature (r = -0.18, p < 0.0001) and a positive correlation with rainfall (r = 0.08, p < 0.0001). Utilizing Distributed Lag Non-linear Models (DLNM), the study revealed that in Johannesburg, the relative risk (RR) of respiratory claims increases notably at temperatures below 12 °C, and again at a Tmax between 16 and 23 °C. The risk escalates further at >30 °C, although with a considerable error margin. For Cape Town, a stable level of moderate RR is seen from Tmax 15-24 °C, with a significant increase in RR and error margin above 30 °C. In Gqeberha, the DLNM results are less definitive, reflecting the city's moderate climate and year-round rainfall. The RR of acute respiratory diseases did not show clear patterns with temperature changes, with increasing error margins outside the 22 °C threshold. These findings emphasize the imperative for region-specific public health strategies that account for the complex, non-linear influences of climate on respiratory health. This detailed understanding of the climate-health nexus provides a robust basis for enhancing public health interventions and future research directed at reducing the impacts of climate factors.
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Affiliation(s)
- Ogone Motlogeloa
- School of Geography, Archaeology and Environmental Studies, University of the Witwatersrand, Johannesburg 2050, South Africa
| | - Jennifer M Fitchett
- School of Geography, Archaeology and Environmental Studies, University of the Witwatersrand, Johannesburg 2050, South Africa.
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Wu Y, Liu X, Gao L, Sun X, Hong Q, Wang Q, Kang Z, Yang C, Zhu S. Short-term exposure to extreme temperature and outpatient visits for respiratory diseases among children in the northern city of China: a time-series study. BMC Public Health 2024; 24:341. [PMID: 38302889 PMCID: PMC10832290 DOI: 10.1186/s12889-024-17814-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2022] [Accepted: 01/19/2024] [Indexed: 02/03/2024] Open
Abstract
BACKGROUND Although studies have indicated that extreme temperature is strongly associated with respiratory diseases, there is a dearth of studies focused on children, especially in China. We aimed to explore the association between extreme temperature and children's outpatient visits for respiratory diseases and seasonal modification effects in Harbin, China. METHODS A distributed lag nonlinear model (DLNM) was used to explore the effect of extreme temperature on daily outpatient visits for respiratory diseases among children, as well as lag effects and seasonal modification effects. RESULTS Extremely low temperatures were defined as the 1st percentile and 2.5th percentile of temperature. Extremely high temperatures were defined as the 97.5th percentile and 99th percentile of temperature. At extremely high temperatures, both 26 °C (97.5th) and 27 °C (99th) showed adverse effects at lag 0-6 days, with relative risks (RRs) of 1.34 [95% confidence interval (CI): 1.21-1.48] and 1.38 (95% CI: 1.24-1.53), respectively. However, at extremely low temperatures, both - 26 °C (1st) and - 23 °C (2.5th) showed protective effects on children's outpatient visits for respiratory diseases at lag 0-10 days, with RRs of 0.86 (95% CI: 0.76-0.97) and 0.85 (95% CI: 0.75-0.95), respectively. We also found seasonal modification effects, with the association being stronger in the warm season than in the cold season at extremely high temperatures. CONCLUSIONS Our study indicated that extremely hot temperatures increase the risk of children's outpatient visits for respiratory diseases. Efforts to reduce the exposure of children to extremely high temperatures could potentially alleviate the burden of pediatric respiratory diseases, especially during the warm season.
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Affiliation(s)
- Ya Wu
- Department of Epidemiology and Statistics, School of Medicine, Jinan University, Guangzhou, 510632, China
- Shenzhen Center for Disease Control and Prevention, Shenzhen, 518055, China
| | - Xiaobo Liu
- Department of Environment, Harbin Center for Disease Control and Prevention, Harbin, 150056, China
| | - Lijie Gao
- Department of Epidemiology and Statistics, School of Medicine, Jinan University, Guangzhou, 510632, China
| | - Xiaohong Sun
- Department of Physicochemical Laboratory, Harbin Center for Disease Control and Prevention, Harbin, 150056, China
| | - Qianqi Hong
- Department of Environment, Harbin Center for Disease Control and Prevention, Harbin, 150056, China
| | - Qian Wang
- Department of Epidemiology and Statistics, School of Medicine, Jinan University, Guangzhou, 510632, China
| | - Zhen Kang
- Department of Environment, Harbin Center for Disease Control and Prevention, Harbin, 150056, China
| | - Chao Yang
- Harbin Center for Disease Control and Prevention, Harbin, 150056, China.
| | - Sui Zhu
- Department of Epidemiology and Statistics, School of Medicine, Jinan University, Guangzhou, 510632, China.
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Qing M, Guo Y, Yao Y, Zhou C, Wang D, Qiu W, Guo Y, Zhang X. Effects of apparent temperature on daily outpatient and inpatient visits for cause-specific respiratory diseases in Ganzhou, China: a time series study. Environ Health Prev Med 2024; 29:20. [PMID: 38522902 DOI: 10.1265/ehpm.23-00188] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/26/2024] Open
Abstract
BACKGROUND Non-optimum temperatures are associated with increased risk of respiratory diseases, but the effects of apparent temperature (AT) on respiratory diseases remain to be investigated. METHODS Using daily data from 2016 to 2020 in Ganzhou, a large city in southern China, we analyzed the impact of AT on outpatient and inpatient visits for respiratory diseases. We considered total respiratory diseases and five subtypes (influenza and pneumonia, upper respiratory tract infection (URTI), lower respiratory tract infection (LRTI), asthma and chronic obstructive pulmonary disease [COPD]). Our analysis employed a distributed lag nonlinear model (DLNM) combined with a generalized additive model (GAM). RESULTS We recorded 94,952 outpatients and 72,410 inpatients for respiratory diseases. We found AT significantly non-linearly associated with daily outpatient and inpatient visits for total respiratory diseases, influenza and pneumonia, and URTI, primarily during comfortable AT levels, while it was exclusively related with daily inpatient visits for LRTI and COPD. Moderate heat (32.1 °C, the 75.0th centile) was observed with a significant effect on both daily outpatient and inpatient visits for total respiratory diseases at a relative risk of 1.561 (1.161, 2.098) and 1.276 (1.027, 1.585), respectively (both P < 0.05), while the results of inpatients became insignificant with the adjustment for CO and O3. The attributable fractions in outpatients and inpatients were as follows: total respiratory diseases (24.43% and 18.69%), influenza and pneumonia (31.54% and 17.33%), URTI (23.03% and 32.91%), LRTI (37.49% and 30.00%), asthma (9.83% and 3.39%), and COPD (30.67% and 10.65%). Stratified analyses showed that children ≤5 years old were more susceptible to moderate heat than older participants. CONCLUSIONS In conclusion, our results indicated moderate heat increase the risk of daily outpatient and inpatient visits for respiratory diseases, especially among children under the age of 5.
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Affiliation(s)
- Mengxia Qing
- Department of Occupational & Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology
| | - Yanjun Guo
- Department of Occupational & Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology
| | - Yuxin Yao
- Department of Occupational & Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology
| | - Chuanfei Zhou
- School of Public Health and Health Management, Gannan Medical University
| | - Dongming Wang
- Department of Occupational & Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology
| | - Weihong Qiu
- Department of Occupational & Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology
| | - You Guo
- First Affiliated Hospital, Gannan Medical University
- Key Laboratory of Prevention and Treatment of Cardiovascular and Cerebrovascular Diseases, Ministry of Education, Gannan Medical University
- School of Public Health and Health Management, Gannan Medical University
| | - Xiaokang Zhang
- First Affiliated Hospital, Gannan Medical University
- Key Laboratory of Prevention and Treatment of Cardiovascular and Cerebrovascular Diseases, Ministry of Education, Gannan Medical University
- School of Public Health and Health Management, Gannan Medical University
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Zhang Y, Luo X, Ma L, Ding G, Zhang B. Effect of Ambient Temperature on Hospital Admissions for Respiratory Disease in Suburban Rural Villages of a Semi-Arid Region in Northwest China. J Occup Environ Med 2023; 65:1023-1031. [PMID: 37705416 DOI: 10.1097/jom.0000000000002962] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/15/2023]
Abstract
OBJECTIVE This study evaluated the effects of extreme temperatures on hospital admissions for respiratory diseases (RDs) in a semi-arid region in the Northwest of China. METHODS Distributed lag nonlinear model was constructed, and stratified analysis by gender and age was performed. RESULTS The exposure-response curve between temperature and RD hospital admissions was almost W-shaped. Either extremely cold temperatures or moderately cold temperatures presented a short-term acute harmful effect, and the relative risks were higher among males (1.976, 95% confidence interval [CI]: 1.773-2.203; 1.242, 95% CI: 1.203-1.282) and the elderly (2.363, 95% CI: 1.724-3.240; 1.267, 95% CI: 1.154-1.390). Both extreme and moderately hot temperatures had higher risks among females (2.040, 95% CI: 1.815-2.292; 1.328, 95% CI: 1.276-1.381). CONCLUSIONS The relationship between air temperature and RD hospital admissions was nonlinear. Vulnerable populations varied according to extreme temperature conditions.
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Affiliation(s)
- Yanan Zhang
- From the School of Public Health, Lanzhou University, Lanzhou, Gansu, China
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8
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Motlogeloa O, Fitchett JM. Climate and human health: a review of publication trends in the International Journal of Biometeorology. INTERNATIONAL JOURNAL OF BIOMETEOROLOGY 2023:10.1007/s00484-023-02466-8. [PMID: 37129619 PMCID: PMC10153057 DOI: 10.1007/s00484-023-02466-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/30/2022] [Revised: 03/06/2023] [Accepted: 03/27/2023] [Indexed: 05/03/2023]
Abstract
The climate-health nexus is well documented in the field of biometeorology. Since its inception, Biometeorology has in many ways become the umbrella under which much of this collaborative research has been conducted. Whilst a range of review papers have considered the development of biometeorological research and its coverage in this journal, and a few have reviewed the literature on specific diseases, none have focused on the sub-field of climate and health as a whole. Since its first issue in 1957, the International Journal of Biometeorology has published a total of 2183 papers that broadly consider human health and its relationship with climate. In this review, we identify a total of 180 (8.3%, n = 2183) of these papers that specifically focus on the intersection between meteorological variables and specific, named diagnosable diseases, and explore the publication trends thereof. The number of publications on climate and health in the journal increases considerably since 2011. The largest number of publications on the topic was in 2017 (18) followed by 2021 (17). Of the 180 studies conducted, respiratory diseases accounted for 37.2% of the publications, cardiovascular disease 17%, and cerebrovascular disease 11.1%. The literature on climate and health in the journal is dominated by studies from the global North, with a particular focus on Asia and Europe. Only 2.2% and 8.3% of these studies explore empirical evidence from the African continent and South America respectively. These findings highlight the importance of continued research on climate and human health, especially in low- and lower-middle-income countries, the populations of which are more vulnerable to climate-sensitive illnesses.
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Affiliation(s)
- Ogone Motlogeloa
- School of Geography, Archaeology and Environmental Studies, University of the Witwatersrand, Johannesburg, South Africa
| | - Jennifer M Fitchett
- School of Geography, Archaeology and Environmental Studies, University of the Witwatersrand, Johannesburg, South Africa.
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9
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Liu W, Liu W, Zhuang G, Wang L, Qiu C. The change in the relationship between temperature and respiratory diseases among children in Guangzhou, China. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:55816-55825. [PMID: 36899121 PMCID: PMC10005922 DOI: 10.1007/s11356-023-26374-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/14/2022] [Accepted: 03/06/2023] [Indexed: 06/18/2023]
Abstract
Temperature is closely associated with respiratory disease (RD) in children, but few studies have examined whether the relationship between ambient temperature and RD in children changed after the COVID-19 epidemic. The aim of this study was to assess the relationship between temperature and RD in children after the COVID-19 epidemic in Guangzhou, China. We used a distributed lag nonlinear model to compare the relationship between temperature and RD among children in Guangzhou from 2018 to 2022. The results showed an S-shaped relationship between temperature and RD in the post-COVID-19 period with a reference minimum risk at a temperature of 21 °C and an increasing relative risk (RR) at extremely low temperature (ELT) and extremely high temperature (EHT). The highest RR associated with EHT was 1.935 (95% confidence interval [CI]: 1.314-2.850) at a lag of 0-14 days. The on-the-day lag effects were found to be strongest at the lag 0 day of EHT with a RR of 1.167 (95% CI: 1.021-1.334). Furthermore, each 1 °C increase in post-COVID-19 temperature increased the risk of RD by 8.2% (95% CI: 1.044-1.121). Our study provides evidence that the relationship between temperature and RD in children in Guangzhou changed after the COVID-19 epidemic, and high temperature is more likely to cause RD in children. Relevant government departments and parents should understand the relationship between temperature and RD in children and develop new preventive measures.
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Affiliation(s)
- Weiqi Liu
- Department of Clinical Laboratory, The Maternal and Children Health Care Hospital (Huzhong Hospital) of Huadu, Guangzhou, Guangdong, 510800, People's Republic of China.
| | - Weiling Liu
- Department of Clinical Laboratory, Foshan Fosun Chancheng Hospital, Foshan, Guangdong, 528000, People's Republic of China
| | - Guiying Zhuang
- Department of Neonatology, The Maternal and Children Health Care Hospital (Huzhong Hospital) of Huadu, Guangzhou, Guangdong, 510800, People's Republic of China
| | - Liyun Wang
- Department of Reproductive Medicine, The Maternal and Children Health Care Hospital (Huzhong Hospital) of Huadu, Guangzhou, Guangdong, 510800, People's Republic of China
| | - Cuiqing Qiu
- Medical Information Office, The Maternal and Children Health Care Hospital (Huzhong Hospital) of Huadu, Guangzhou, Guangdong, 510800, People's Republic of China
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Feng J, Cao D, Zheng D, Qian ZM, Huang C, Shen H, Liu Y, Liu Q, Sun J, Jiao G, Yang X, McMillin SE, Wang C, Lin H, Zhang X, Zhang S. Cold spells linked with respiratory disease hospitalization, length of hospital stay, and hospital expenses: Exploring cumulative and harvesting effects. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 863:160726. [PMID: 36502973 DOI: 10.1016/j.scitotenv.2022.160726] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/01/2022] [Revised: 12/02/2022] [Accepted: 12/02/2022] [Indexed: 06/17/2023]
Abstract
BACKGROUND Previous studies have revealed the relationship between cold spells and morbidity and mortality due to respiratory diseases, while the detrimental effects of cold spells on the length of hospital stay and hospitalization expenses remain largely unknown. METHODS We collected hospitalization data for respiratory diseases in 11 cities of Shanxi, China during 2017-2019. In each case, exposure to meteorological variables and air pollution was estimated by the bilinear interpolation approach and inverse distance weighting method, respectively, and then averaged at the city level. Cold spells were defined as the daily mean temperature below the 10th, 7.5th, or 5th percentiles for at least 2 to 5 consecutive days. We applied distributed lag non-linear models combined with generalized additive models to assess cumulative effects and harvesting effects. RESULTS There were significant associations between cold spells and hospital admissions, length of hospital stay, and hospital expenses for respiratory diseases. Compared with the non-cold spell period, the overall (lag 0-21) cumulative risk of hospitalization for total respiratory diseases was 1.232 (95 % CI: 1.090, 1.394) on cold spell days, and the increased length of hospital stay and hospitalization expenses were 112.793 (95 % CI: 10.755, 214.830) days and 127.568 (95 % CI: 40.513, 214.624) thousand Chinese yuan. The overall cumulative risks of cold spells on total respiratory diseases and pneumonia were statistically significant. We further observed harvesting effects in the associations between cold spells and hospital admission, length of hospital stay, and hospitalization expenses for respiratory diseases. CONCLUSIONS Cumulative cold-spell exposure for up to three weeks is associated with hospitalization, length of hospital stay, and hospital expenses for respiratory diseases. The observed harmful effects of cold spells on respiratory diseases can be partly attributable to harvesting effects.
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Affiliation(s)
- Jin Feng
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou 510080, Guangdong, China
| | - Dawei Cao
- NHC Key Laboratory of Pneumoconiosis, Shanxi Key Laboratory of Respiratory Diseases, Department of Pulmonary and Critical Care Medicine, The First Hospital of Shanxi Medical University, Taiyuan 030000, Shanxi, China
| | - Dashan Zheng
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou 510080, Guangdong, 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
| | - Cunrui Huang
- Vanke School of Public Health, Tsinghua University, Beijing 102200, China; Institute of Healthy China, Tsinghua University, Beijing 102200, China
| | - Huiqing Shen
- NHC Key Laboratory of Pneumoconiosis, Shanxi Key Laboratory of Respiratory Diseases, Department of Pulmonary and Critical Care Medicine, The First Hospital of Shanxi Medical University, Taiyuan 030000, Shanxi, China
| | - Yi Liu
- NHC Key Laboratory of Pneumoconiosis, Shanxi Key Laboratory of Respiratory Diseases, Department of Pulmonary and Critical Care Medicine, The First Hospital of Shanxi Medical University, Taiyuan 030000, Shanxi, China
| | - Qiyong Liu
- 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 102200, China
| | - Jimin Sun
- Key Laboratory of Vaccine, Prevention and Control of Infectious Disease of Zhejiang Province, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310000, Zhejiang, China
| | - Guangyuan Jiao
- Department of Ideological and Political Education, School of Marxism, Capital Medical University, Beijing 102200, China
| | - Xiaoran Yang
- Department of Standards and Evaluation, Beijing Municipal Health Commission Policy Research Center, Beijing Municipal health Commission Information Center, Beijing 102200, China
| | - Stephen Edward McMillin
- School of Social Work, Saint Louis University, Tegeler Hall, 3550 Lindell Boulevard, St. Louis, MO 63103, USA
| | - Chongjian Wang
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou 450000, Henan, China
| | - Hualiang Lin
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou 510080, Guangdong, China
| | - Xinri Zhang
- NHC Key Laboratory of Pneumoconiosis, Shanxi Key Laboratory of Respiratory Diseases, Department of Pulmonary and Critical Care Medicine, The First Hospital of Shanxi Medical University, Taiyuan 030000, Shanxi, China.
| | - Shiyu Zhang
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou 510080, Guangdong, China.
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11
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Ma P, Zhou N, Wang X, Zhang Y, Tang X, Yang Y, Ma X, Wang S. Stronger susceptibilities to air pollutants of influenza A than B were identified in subtropical Shenzhen, China. ENVIRONMENTAL RESEARCH 2023; 219:115100. [PMID: 36565842 DOI: 10.1016/j.envres.2022.115100] [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: 10/04/2022] [Revised: 12/10/2022] [Accepted: 12/17/2022] [Indexed: 06/17/2023]
Abstract
Air pollution was indicated to be a key factor contributing to the aggressive spread of influenza viruses, whereas uncertainty still exists regarding to whether distinctions exist between influenza subtypes. Our study quantified the impact of five air pollutants on influenza subtype outbreaks in Shenzhen, China, a densely populated and highly urbanized megacity. Daily influenza outbreak data of laboratory-confirmed positive cases were obtained from the Shenzhen CDC, from May 1, 2013 to Dec 31, 2015. Concentrations of nitrogen dioxide (NO2), sulfur dioxide (SO2), particulate matters ≤2.5 μm (PM2.5), particulate matters ≤10 μm (PM10), and ozone (O3), were retrieved from the 18 national monitoring stations. The generalized additive model (GAM) and distributed lag non-linear model (DLNM) were used to calculate the concentration-response relationships between environmental inducers and outbreak epidemics, respectively for influenza A (Flu-A) and B (Flu-B). There were 1687 positive specimens were confirmed during the study period. The cold season was restricted from Nov. 4th to Apr. 20th, covering all seasons other than the long-lasting summer. Relatively heavy fine particle matter (PM2.5) and NO2 pollution was observed in cold months, with mean concentrations of 46.06 μg/m3 and 40.03 μg/m3, respectively. Time-series analysis indicated that high concentrations of NO2, PM2.5, PM10, and O3 were associated with more influenza outbreaks at short lag periods (0-5 d). Although more Flu-B (679 cases) epidemics occurred than Flu-A (382 cases) in the cold season, Flu-A generally showed higher susceptibility to air pollutants. A 10 μg/m3 increment in concentrations of PM2.5, PM10, and O3 at lag 04, was associated with a 2.103 (95%CI: 1.528-2.893), 1.618 (95%CI: 1.311-1.996), and 1.569 (95%CI: 1.214-2.028) of the relative risk (RR) of Flu-A, respectively. A 5 μg/m3 increase in NO2 was associated with higher risk of Flu-A at lag 03 (RR = 1.646, 95%CI: 1.295-2.092) and of Flu-B at lag 04 (RR = 1.319, 95%CI: 1.095-1.588). Nevertheless, barely significant effect of particulate matters (PM2.5, PM10) on Flu-B and SO2 on both subtypes was detected. Further, the effect estimates of NO2 increased for both subtypes when coexisting with other pollutants. This study provides evidence that declining concentrations of main pollutants including NO2, O3, and particulate matters, could substantially decrease influenza risk in subtropical Shenzhen, especially for influenza A.
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Affiliation(s)
- Pan Ma
- Plateau Atmosphere and Environment Key Laboratory of Sichuan Province, College of Atmospheric Science, Chengdu University of Information Technology, Chengdu, 610225, Sichuan, China; Chengdu Plain Urban Meteorology and Environment Scientific Observation and Research Station of Sichuan Province, Chengdu, 610225, Sichuan, China.
| | - Ning Zhou
- The First People's Hospital of Lanzhou, Lanzhou, 730050, Gansu, China.
| | - Xinzi Wang
- Meteorological Bureau of Jinnan District, Tianjin, 300350, China.
| | - Ying Zhang
- Plateau Atmosphere and Environment Key Laboratory of Sichuan Province, College of Atmospheric Science, Chengdu University of Information Technology, Chengdu, 610225, Sichuan, China; Chengdu Plain Urban Meteorology and Environment Scientific Observation and Research Station of Sichuan Province, Chengdu, 610225, Sichuan, China.
| | - Xiaoxin Tang
- Shenzhen National Climate Observatory, Shenzhen, 518000, China.
| | - Yang Yang
- Plateau Atmosphere and Environment Key Laboratory of Sichuan Province, College of Atmospheric Science, Chengdu University of Information Technology, Chengdu, 610225, Sichuan, China.
| | - Xiaolu Ma
- Plateau Atmosphere and Environment Key Laboratory of Sichuan Province, College of Atmospheric Science, Chengdu University of Information Technology, Chengdu, 610225, Sichuan, China.
| | - Shigong Wang
- Plateau Atmosphere and Environment Key Laboratory of Sichuan Province, College of Atmospheric Science, Chengdu University of Information Technology, Chengdu, 610225, Sichuan, China.
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12
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Zhou F, Zhou W, Wang W, Fan C, Chen W, Ling L. Associations between Frailty and Ambient Temperature in Winter: Findings from a Population-Based Study. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 20:513. [PMID: 36612832 PMCID: PMC9819953 DOI: 10.3390/ijerph20010513] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/20/2022] [Revised: 12/13/2022] [Accepted: 12/23/2022] [Indexed: 06/17/2023]
Abstract
Frailty is an accumulation of deficits characterized by reduced resistance to stressors and increased vulnerability to adverse outcomes. However, there is little known about the effect of ambient temperature in winter on frailty among older adults, a population segment with the highest frailty prevalence. Thus, the objective of this study is to investigate the associations between frailty and ambient temperature in winter among older adults. This study was based on the Chinese Longitudinal Healthy Longevity Survey (CLHLS) of older adults aged ≥65 years from the 2005, 2008, 2011, and 2014 waves. The 39-item accumulation of frailty index (FI) was used to assess the frailty status of the participants. The FI was categorized into three groups as follows: robust (FI ≤ 0.10), prefrail (FI > 0.10 to <0.25), and frail (FI ≥ 0.25). Generalized linear mixed models (GLMMs) were conducted to explore the associations between frailty and ambient temperature in winter. A generalized estimating equation (GEE) modification was applied in the sensitivity analysis. A total of 9421 participants were included with a mean age of 82.81 (SD: 11.32) years. Compared with respondents living in the highest quartile (≥7.5 °C) of average temperature in January, those in the lowest quartile (<−1.9 °C) had higher odds of prefrailty (OR = 1.35, 95% CI 1.17−1.57) and frailty (OR = 1.61, 95%CI 1.32−1.95). The associations were stronger among the low-education groups, agricultural workers before retirement, and non-current exercisers. Additionally, results from the GEE model reported consistent findings. Lower levels of ambient temperature in winter were associated with higher likelihoods of prefrailty and frailty. The findings on vulnerability characteristics could help improve public health practices to tailor cold temperature health education and warning information.
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Yu L, Zhu J, Shao M, Wang J, Ma Y, Hou K, Li H, Zhu J, Fan X, Pan F. Relationship between meteorological factors and mortality from respiratory diseases in a subtropical humid region along the Yangtze River in China. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2022; 29:78483-78498. [PMID: 35697982 DOI: 10.1007/s11356-022-21268-w] [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: 02/03/2022] [Accepted: 05/31/2022] [Indexed: 06/15/2023]
Abstract
As the health impacts of climate change take on a more serious form, this study for the first time investigates the effect of meteorological factors on the risk of death from respiratory diseases (RD) in Wuhu, a representative city along the Yangtze River in subtropical humid region. Daily meteorological element data and RD deaths in Wuhu City were collected from 2014 to 2020. Time series analysis was conducted using distributed lagged nonlinear model (DLNM) combined with generalized additive model (GAM), and stratified by age and gender. In 7 years, a total of 8016 RD death cases were collected in Wuhu, China. The results demonstrated that the maximum impacts of short-term exposure to exceedingly low temperatures mean (Tmean) were at lag 9, with the maximum relative risk (RR) of 1.044 (lag 1, 95% CI: 1.001, 1.098). The risk of exceedingly high Tmean reached its maximum at lag 0 (RR = 1.070, 95% CI: 1.018, 1.125). Low relative humidity (RH) was negatively associated with the risk of RD death, with the lowest RR values occurring at lag 12 (RR = 0.987, 95% CI: 0.975, 0.999). No significant correlation was found for diurnal temperature range (DTR). Stratified analysis showed that Tmean exposure remained statistically significant for male, female and elderly, while RH and DTR only seemed to increase the mortality risk in the young. In a word, short-term exposure to extreme temperatures may increase the RD mortality risk in the population, and young people needed to be aware that exposure to exceedingly high RH and DTR also increased the risk.
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Affiliation(s)
- Lingxiang Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui Province, China
- The Key Laboratory of Major Autoimmune Diseases, Anhui Medical University, Hefei, 230022, Anhui, China
| | - Junjun Zhu
- Wuhu Center for Disease Control and Prevention, Wuhu, Anhui Province, China
| | - Ming Shao
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui Province, China
- The Key Laboratory of Major Autoimmune Diseases, Anhui Medical University, Hefei, 230022, Anhui, China
| | - Jinian Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui Province, China
- The Key Laboratory of Major Autoimmune Diseases, Anhui Medical University, Hefei, 230022, Anhui, China
| | - Yubo Ma
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui Province, China
- The Key Laboratory of Major Autoimmune Diseases, Anhui Medical University, Hefei, 230022, Anhui, China
| | - Kai Hou
- Department of Landscape Architecture, School of Art, Xi'an University of Architecture and Technology, No. 13, Yanta Road, Xi'an, 710055, Shaanxi Province, China
| | - Huijun Li
- Department of Landscape Architecture, School of Art, Xi'an University of Architecture and Technology, No. 13, Yanta Road, Xi'an, 710055, Shaanxi Province, China
| | - Jiansheng Zhu
- Wuhu Center for Disease Control and Prevention, Wuhu, Anhui Province, China
| | - Xiaoyun Fan
- Department of Geriatric Respiratory and Critical Care, First Affiliated Hospital of Anhui Medical University, Number 218, Jixi Road, Hefei, 230022, Anhui, China
| | - Faming Pan
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui Province, China.
- The Key Laboratory of Major Autoimmune Diseases, Anhui Medical University, Hefei, 230022, Anhui, China.
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14
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Tran QA, Le VTH, Ngo VT, Le TH, Phung DT, Berman JD, Nguyen HLT. The Association Between Ambient Temperatures and Hospital Admissions Due to Respiratory Diseases in the Capital City of Vietnam. Front Public Health 2022; 10:903623. [PMID: 35937271 PMCID: PMC9350518 DOI: 10.3389/fpubh.2022.903623] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2022] [Accepted: 06/20/2022] [Indexed: 11/13/2022] Open
Abstract
This study aimed to examine the short-term effects of ambient temperature on hospital admissions due to respiratory diseases among Hanoi residents. We collected 34,653 hospital admissions for 365 days (November 1, 2017, to November 31, 2018) from two hospitals in Hanoi. A quasi-Poisson regression model with time series analysis was used to explore the temperature-health outcome relationship's overall pattern. The non-linear curve indicated the temperatures with the lowest risk range from 22 degrees (Celcius) to 25 degrees (Celcius). On average, cold temperatures showed a higher risk than hot temperatures across all genders and age groups. Hospital admissions risk was highest at 13 degrees (Celcius) (RR = 1.39; 95% CI = 1.26–1.54) for cold effects and at 33 degrees (Celcius) (RR = 1.21, 95% CI = 1.04–1.39) for the hot effects. Temporal pattern analysis showed that the most effect on respiratory diseases occurred at a lag of 0 days for hot effect and at a lag of 1 day for cold effect. The risk of changing temperature among women and people over 5 years old was higher than other groups. Our results suggest that the risk of respiratory admissions was greatest when the temperature was low. Public health prevention programs should be enhanced to improve public awareness about the health risks of temperature changes, especially respiratory diseases risked by low temperatures.
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Affiliation(s)
- Quynh Anh Tran
- Environmental Health Department, Hanoi Medical University School of Public Health, Hanoi, Vietnam
| | - Vu Thuy Huong Le
- Environmental Health Department, Hanoi Medical University School of Public Health, Hanoi, Vietnam
- Division of Environmental Health Sciences, University of Minnesota School of Public Health, Minneapolis, MN, United States
- *Correspondence: Vu Thuy Huong Le
| | - Van Toan Ngo
- Environmental Health Department, Hanoi Medical University School of Public Health, Hanoi, Vietnam
- Hanoi Medical University Hospital, Hanoi, Vietnam
| | - Thi Hoan Le
- Environmental Health Department, Hanoi Medical University School of Public Health, Hanoi, Vietnam
| | - Dung T. Phung
- Centre for Environment and Population Health, Griffith University, Southport, QLD, Australia
| | - Jesse D. Berman
- Division of Environmental Health Sciences, University of Minnesota School of Public Health, Minneapolis, MN, United States
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15
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Liu Y, Wang Y, Dong J, Wang J, Bao H, Zhai G. Association between air pollution and emergency department visits for upper respiratory tract infection inLanzhou, China. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2022; 29:28816-28828. [PMID: 34989991 DOI: 10.1007/s11356-021-17932-2] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/13/2021] [Accepted: 11/30/2021] [Indexed: 06/14/2023]
Abstract
There is limited evidence regarding the associations between air pollution and emergency hospital visits for upper respiratory tract infection (URTI) in the arid regions of northwest China. We collected daily emergency department (ED) visits for URTI from three hospitals in Lanzhou during January 2014 and December 2018, as well as daily air pollutants and meteorological factors. In the present study, generalized additive model with quasi-Poisson regression was used to evaluate the relationship between short-term exposure to ambient pollutants and daily emergency hospital visits for URTI in Lanzhou, China. Furthermore, subgroup analyses were conducted by gender (male and female), age (0-14, 15-64, and ≥ 65 years)), and season (cold season, warm season). The results of the single-pollutant model show that the associations of PM2.5, PM10, SO2, NO2, and CO with URTI ED visits were all statistically significant, whereas we observed insignificant associations of O38h. The highest association of each pollutant with hospital emergency visits was observed with PM2.5 (5.302% (95% CI: 3.202, 7.445)), PM10 (0.808% (95% CI: 0.291, 1.328)), SO2 (10.607% (95% CI: 5.819, 15.611)), and NO2 (5.325% (95% CI: 2.379, 8.357)) at lag 07 for an increase of 10 ug/m3 in concentrations of the pollutants. Percentage increase for each 1-mg/m3 increase in CO was 20.799% (95% CI: 11.834, 30.482) at lag 07. In the stratification analyses, females were more susceptible to PM2.5 and PM10, while males were more sensitive to the effects of SO2, NO2, and CO, and the higher association effect of four pollutants (PM2.5, SO2, NO2, and CO) on hospital visits for URTI among children (0-14 years). The associations appeared to be stronger in the cool season than in the warm season. This study suggests that short-term exposure to air pollution, especially to SO2 and CO, was associated with increased risk of hospital emergency visits for URTI in Lanzhou, China. Relevant strategies and health interventions should be strengthened to reduce the air pollution level in the future.
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Affiliation(s)
- Yurong Liu
- School of Public Health, Lanzhou University, Lanzhou 730000, Lanzhou, People's Republic of China
| | - Yanru Wang
- School of Public Health, Lanzhou University, Lanzhou 730000, Lanzhou, People's Republic of China
| | - Jiyuan Dong
- School of Public Health, Lanzhou University, Lanzhou 730000, Lanzhou, People's Republic of China.
| | - Jiancheng Wang
- Gansu Provincial Hospital, Lanzhou, 730050, People's Republic of China
| | - Hairong Bao
- Department of Gerontal Respiratory Medicine, The First Hospital of Lanzhou University, Lanzhou, 730000, China
| | - Guangyu Zhai
- School of Economics and Management, Lanzhou University of Technology, Lanzhou, 730050, People's Republic of China
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16
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Li Y, Wang B, Wang S, Xu S, Li S, He H, Niu J, Luo B. Ambient temperature, humidity, and urinary system diseases: a population-based study in Western China. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2022; 29:28637-28646. [PMID: 34988822 DOI: 10.1007/s11356-021-17102-4] [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: 06/24/2021] [Accepted: 10/14/2021] [Indexed: 06/14/2023]
Abstract
Climate has received an increasing attention due to its adverse effects on human health, but the effects on the urinary system are still short of enough evidence. Therefore, we carry out this study to analyze the relationship between meteorological factors and urinary system health in arid areas of western China. In this study, the daily numbers of outpatients with the urinary system diseases from multiple hospitals in three cities in Gansu province (Lanzhou, Zhangye, and Tianshui city) were collected and used for analysis. The distributed lag non-linear models (DLNM) with a quasi-Poisson distribution were used to estimate the associations between meteorological factors and daily outpatients for urinary system diseases in these three cities, and then a multivariate meta-analysis was applied to pool the estimates of city-specific effects. We found that the ambient temperature (AT) and relative humidity (RH) were significantly associated with the outpatient visits of urinary system diseases. The effects of meteorological factors on outpatients with urinary system diseases for both males and females were statistically significant at different lag days. The higher AT and lower RH were associated with the higher risk of urinary system diseases. We also observed substantial lag effects of meteorological factors on outpatients for both males and females. Among all disease types, renal tubule-interstitial diseases had the strongest relationships with meteorological factors. Our results indicate that the higher AT and lower RH may increase the outpatient visits for urinary system diseases, with significant lag effects in semi-arid areas.
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Affiliation(s)
- Yanlin Li
- Institute of Occupational Health and Environmental Health, School of Public Health, Lanzhou University, Lanzhou, Gansu, 730000, People's Republic of China
| | - Bo Wang
- Institute of Occupational Health and Environmental Health, School of Public Health, Lanzhou University, Lanzhou, Gansu, 730000, People's Republic of China
| | - Shunxia Wang
- Department of General Medicine, the First Hospital of Tianshui, Tianshui, Gansu, 741000, People's Republic of China
| | - Shenggang Xu
- Medical College of Hexi University, Zhangye, Gansu, 734000, People's Republic of China
| | - Sheng Li
- The First People's Hospital of Lanzhou, Lanzhou, Gansu, 730050, People's Republic of China
| | - Hupeng He
- Gansu Provincial Centre for Diseases Prevention and Control, Lanzhou, Gansu, 730000, People's Republic of China
| | - Jingping Niu
- Institute of Occupational Health and Environmental Health, School of Public Health, Lanzhou University, Lanzhou, Gansu, 730000, People's Republic of China
| | - Bin Luo
- Institute of Occupational Health and Environmental Health, School of Public Health, Lanzhou University, Lanzhou, Gansu, 730000, People's Republic of China.
- Shanghai Key Laboratory of Meteorology and Health, Shanghai Meteorological Bureau, Shanghai, 200030, People's Republic of China.
- Shanghai Typhoon Institute, China Meteorological Administration, Shanghai, 200030, People's Republic of China.
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17
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Scripcă AS, Acquaotta F, Croitoru AE, Fratianni S. The impact of extreme temperatures on human mortality in the most populated cities of Romania. INTERNATIONAL JOURNAL OF BIOMETEOROLOGY 2022; 66:189-199. [PMID: 34739588 DOI: 10.1007/s00484-021-02206-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/21/2020] [Revised: 10/04/2021] [Accepted: 10/11/2021] [Indexed: 06/13/2023]
Abstract
The impact of extreme weather conditions on humans is one of the most important topics in biometeorology studies. The main objective of this study is to analyze the relationship between temperature-related weather conditions and natural mortality in the five most populated cities of Romania, namely, Bucharest, Cluj-Napoca, Constanța, Iași, and Timișoara. The results of this study aim to bridge a gap in national research. In the present paper, we used daily natural mortality data and daily minimum and maximum air temperatures. The distributed lag nonlinear model (DLNM) allowed us to identify weather conditions associated with natural mortality. The most important results are as follows: (i) a higher daily mortality is related to a high frequency of heat stress conditions; (ii) a higher maximum temperature increases the relative risk (RR) of natural mortality; (iii) the maximum number of fatalities is recorded on the first day of high-temperature events; and (iv) individuals much more easily adapt to cold stress conditions. The main conclusion in this study is that the inhabitants of the most populated cities in Romania are more sensitive to high-temperature stress than to low-temperature stress.
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Affiliation(s)
- Andreea-Sabina Scripcă
- Doctoral School of Geography, Babeș-Bolyai University, 5-7, Clinicilor Street, 400006, Cluj-Napoca, Romania
| | - Fiorella Acquaotta
- Department of Earth Sciences, University of Turin, Via Valperga Caluso 35, 10125, Turin, Italy
- Centro Interdipartimentale Sui Rischi Naturali in Ambiente Montano E Collinare, NatRisk University of Turin, Turin, Italy
| | - Adina-Eliza Croitoru
- Department of Physical and Technical Geography, Babeș-Bolyai University, 5-7, Clinicilor Street, 400006, Cluj-Napoca, Romania.
- Research Centre for Sustainable Development, Babeș-Bolyai University, 5-7, Clinicilor Street, 400006, Cluj-Napoca, Romania.
| | - Simona Fratianni
- Department of Earth Sciences, University of Turin, Via Valperga Caluso 35, 10125, Turin, Italy
- Centro Interdipartimentale Sui Rischi Naturali in Ambiente Montano E Collinare, NatRisk University of Turin, Turin, Italy
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Wu DW, Chen SC, Tu HP, Wang CW, Hung CH, Chen HC, Kuo TY, Wang CF, Lai BC, Chen PS, Kuo CH. The Impact of the Synergistic Effect of Temperature and Air Pollutants on Chronic Lung Diseases in Subtropical Taiwan. J Pers Med 2021; 11:jpm11080819. [PMID: 34442463 PMCID: PMC8401456 DOI: 10.3390/jpm11080819] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2021] [Revised: 08/09/2021] [Accepted: 08/20/2021] [Indexed: 12/11/2022] Open
Abstract
Previous studies have suggested an association between air pollution and lung disease. However, few studies have explored the relationship between chronic lung diseases classified by lung function and environmental parameters. This study aimed to comprehensively investigate the relationship between chronic lung diseases, air pollution, meteorological factors, and anthropometric indices. We conducted a cross-sectional study using the Taiwan Biobank and the Taiwan Air Quality Monitoring Database. A total of 2889 participants were included. We found a V/U-shaped relationship between temperature and air pollutants, with significant effects at both high and low temperatures. In addition, at lower temperatures (<24.6 °C), air pollutants including carbon monoxide (CO) (adjusted OR (aOR):1.78/Log 1 ppb, 95% CI 0.98–3.25; aOR:5.35/Log 1 ppb, 95% CI 2.88–9.94), nitrogen monoxide (NO) (aOR:1.05/ppm, 95% CI 1.01–1.09; aOR:1.11/ppm, 95% CI 1.07–1.15), nitrogen oxides (NOx) (aOR:1.02/ppm, 95% CI 1.00–1.05; aOR:1.06/ppm, 95% CI 1.04–1.08), and sulfur dioxide (SO2) (aOR:1.29/ppm, 95% CI 1.01–1.65; aOR:1.77/ppm, 95% CI 1.36–2.30) were associated with restrictive and mixed lung diseases, respectively. Exposure to CO, NO, NO2, NOx and SO2 significantly affected obstructive and mixed lung disease in southern Taiwan. In conclusion, temperature and air pollution should be considered together when evaluating the impact on chronic lung diseases.
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Affiliation(s)
- Da-Wei Wu
- Doctoral Degree Program, Department of Public Health, College of Health Sciences, Kaohsiung Medical University, Kaohsiung 807, Taiwan;
- Department of Internal Medicine, Kaohsiung Municipal Siaogang Hospital, Kaohsiung Medical University, Kaohsiung 812, Taiwan; (S.-C.C.); (C.-W.W.); (H.-C.C.); (T.-Y.K.); (C.-H.K.)
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung 807, Taiwan
- Research Center for Environmental Medicine, Kaohsiung Medical University, Kaohsiung 807, Taiwan;
| | - Szu-Chia Chen
- Department of Internal Medicine, Kaohsiung Municipal Siaogang Hospital, Kaohsiung Medical University, Kaohsiung 812, Taiwan; (S.-C.C.); (C.-W.W.); (H.-C.C.); (T.-Y.K.); (C.-H.K.)
- Research Center for Environmental Medicine, Kaohsiung Medical University, Kaohsiung 807, Taiwan;
- Division of Nephrology, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung 807, Taiwan
- Faculty of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung 807, Taiwan
| | - Hung-Pin Tu
- Department of Public Health and Environmental Medicine, School of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung 807, Taiwan;
| | - Chih-Wen Wang
- Department of Internal Medicine, Kaohsiung Municipal Siaogang Hospital, Kaohsiung Medical University, Kaohsiung 812, Taiwan; (S.-C.C.); (C.-W.W.); (H.-C.C.); (T.-Y.K.); (C.-H.K.)
- Division of Hepatobiliary, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung 807, Taiwan
| | - Chih-Hsing Hung
- Research Center for Environmental Medicine, Kaohsiung Medical University, Kaohsiung 807, Taiwan;
- Department of Pediatrics, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung 807, Taiwan
- Department of Pediatrics, Kaohsiung Municipal Siaogang Hospital, Kaohsiung Medical University, Kaohsiung 807, Taiwan
| | - Huang-Chi Chen
- Department of Internal Medicine, Kaohsiung Municipal Siaogang Hospital, Kaohsiung Medical University, Kaohsiung 812, Taiwan; (S.-C.C.); (C.-W.W.); (H.-C.C.); (T.-Y.K.); (C.-H.K.)
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung 807, Taiwan
| | - Tzu-Yu Kuo
- Department of Internal Medicine, Kaohsiung Municipal Siaogang Hospital, Kaohsiung Medical University, Kaohsiung 812, Taiwan; (S.-C.C.); (C.-W.W.); (H.-C.C.); (T.-Y.K.); (C.-H.K.)
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung 807, Taiwan
| | - Chen-Feng Wang
- Department of Electronics Engineering, National Yang Ming Chiao Tung University, Hsinchu 300, Taiwan; (C.-F.W.); (B.-C.L.)
| | - Bo-Cheng Lai
- Department of Electronics Engineering, National Yang Ming Chiao Tung University, Hsinchu 300, Taiwan; (C.-F.W.); (B.-C.L.)
| | - Pei-Shih Chen
- Research Center for Environmental Medicine, Kaohsiung Medical University, Kaohsiung 807, Taiwan;
- Department of Public Health, College of Health Sciences, Kaohsiung Medical University, Kaohsiung 807, Taiwan
- Institute of Environmental Engineering, College of Engineering, National Sun Yat-Sen University, Kaohsiung 807, Taiwan
- Department of Medical Research, Kaohsiung Medical University Hospital, Kaohsiung 807, Taiwan
- Correspondence: ; Tel.: +886-7-312-1101 (ext. 2141-34); Fax: +886-7-311-0811
| | - Chao-Hung Kuo
- Department of Internal Medicine, Kaohsiung Municipal Siaogang Hospital, Kaohsiung Medical University, Kaohsiung 812, Taiwan; (S.-C.C.); (C.-W.W.); (H.-C.C.); (T.-Y.K.); (C.-H.K.)
- Division of Gastroenterology, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung 807, Taiwan
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19
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Ngo HKT, Luong LMT, Le HHTC, Dang TN, Le Pham A, Phung D, Thai PK. Impact of temperature on hospital admission for acute lower respiratory infection (ALRI) among pre-school children in Ho Chi Minh City, Vietnam. INTERNATIONAL JOURNAL OF BIOMETEOROLOGY 2021; 65:1205-1214. [PMID: 33751218 DOI: 10.1007/s00484-021-02104-1] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/04/2020] [Revised: 02/22/2021] [Accepted: 02/23/2021] [Indexed: 06/12/2023]
Abstract
Changes in ambient temperature have been reported as an important risk factor for respiratory diseases among pre-school children. However, there have been few studies so far on the effects of temperature on children respiratory health in developing countries including Vietnam. This study examined the impact of short-term changes in ambient temperature on hospital admissions for acute lower respiratory infection (ALRI) among children aged less than 5 years old in Ho Chi Minh City (HCMC), Vietnam. Data on daily hospital admissions from 2013 to 2017 were collected from two large paediatric hospitals of the city. Daily meteorological data of the same period were also collected. Time series analysis was performed to evaluate the association between risk of hospitalisations and temperatures categorised by seasons, age, and causes. We found that a 1 °C increase in maximum temperature was associated with 4.2 and 3.4% increase in hospital admission for ALRI among children 3-5 years old during the dry season and the rainy season, respectively. Surprisingly, in the rainy season, a rise of 1°C diurnal temperature range (DTR) was significantly associated with a decrease from 2.0 to 2.5% risk of hospitalisation for ALRI among children <3 years old. These findings suggested that although high temperature is a risk factor for hospital admissions among children in general, other modifiable factors such as age, exposure time, air conditioning usage, wearing protective clothing, socioeconomic status, and behaviour may influence the overall effect of high temperature on hospital admissions of children <5 years old in HCMC. The findings of this study have provided evidence for building public health policies aimed at preventing and minimizing the adverse health effects of temperature on children in HCMC.
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Affiliation(s)
- Hieu K T Ngo
- Department of Environmental Health, University of Medicine and Pharmacy, Ho Chi Minh, Vietnam
| | - Ly M T Luong
- Faculty of Environmental Sciences, VNU University of Science, Vietnam National University, Hanoi, Vietnam
| | - Hong H T C Le
- Department of Environmental Health, University of Medicine and Pharmacy, Ho Chi Minh, Vietnam
- Faculty of Medicine, The University of Queensland, Brisbane, Australia
| | - Tran Ngoc Dang
- Department of Environmental Health, University of Medicine and Pharmacy, Ho Chi Minh, Vietnam
| | - An Le Pham
- Department of Environmental Health, University of Medicine and Pharmacy, Ho Chi Minh, Vietnam
| | - Dung Phung
- Centre for Environment and Population Health, Griffith University, Brisbane, Australia
| | - Phong K Thai
- Queensland Alliance for Environmental Health Sciences (QAEHS), The University of Queensland, Brisbane, 4102, Australia.
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20
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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.
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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.
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21
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Jung CC, Chen NT, Hsia YF, Hsu NY, Su HJ. Influence of Indoor Temperature Exposure on Emergency Department Visits Due to Infectious and Non-Infectious Respiratory Diseases for Older People. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph18105273. [PMID: 34063510 PMCID: PMC8156969 DOI: 10.3390/ijerph18105273] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 03/24/2021] [Revised: 05/12/2021] [Accepted: 05/13/2021] [Indexed: 12/24/2022]
Abstract
Previous studies have demonstrated that outdoor temperature exposure was an important risk factor for respiratory diseases. However, no study investigates the effect of indoor temperature exposure on respiratory diseases and further assesses cumulative effect. The objective of this study is to study the cumulative effect of indoor temperature exposure on emergency department visits due to infectious (IRD) and non-infectious (NIRD) respiratory diseases among older adults. Subjects were collected from the Longitudinal Health Insurance Database in Taiwan. The cumulative degree hours (CDHs) was used to assess the cumulative effect of indoor temperature exposure. A distributed lag nonlinear model with quasi-Poisson function was used to analyze the association between CDHs and emergency department visits due to IRD and NIRD. For IRD, there was a significant risk at 27, 28, 29, 30, and 31 °C when the CDHs exceeded 69, 40, 14, 5, and 1 during the cooling season (May to October), respectively, and at 19, 20, 21, 22, and 23 °C when the CDHs exceeded 8, 1, 1, 35, and 62 during the heating season (November to April), respectively. For NIRD, there was a significant risk at 19, 20, 21, 22, and 23 °C when the CDHs exceeded 1, 1, 16, 36, and 52 during the heating season, respectively; the CDHs at 1 was only associated with the NIRD at 31 °C during the cooling season. Our data also indicated that the CDHs was lower among men than women. We conclude that the cumulative effects of indoor temperature exposure should be considered to reduce IRD risk in both cooling and heating seasons and NIRD risk in heating season and the cumulative effect on different gender.
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Affiliation(s)
- Chien-Cheng Jung
- Department of Public Health, China Medical University, Taichung City 406060, Taiwan;
| | - Nai-Tzu Chen
- Research Center of Environmental Trace Toxic Substances, National Cheng Kung University, Tainan City 70403, Taiwan;
| | - Ying-Fang Hsia
- Big Data Center, China Medical University Hospital, Taichung City 404332, Taiwan;
| | - Nai-Yun Hsu
- Department of Environmental and Occupational Health, College of Medicine, National Cheng Kung University, Tainan City 70403, Taiwan;
| | - Huey-Jen Su
- Department of Environmental and Occupational Health, College of Medicine, National Cheng Kung University, Tainan City 70403, Taiwan;
- Correspondence: ; Tel.: +886-6-275-2459; Fax: +886-6-274-3748
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22
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Zeng W, Zhao H, Liu R, Yan W, Qiu Y, Yang F, Shu C, Zhan Y. Association between NO 2 cumulative exposure and influenza prevalence in mountainous regions: A case study from southwest China. ENVIRONMENTAL RESEARCH 2020; 189:109926. [PMID: 32980014 PMCID: PMC7354378 DOI: 10.1016/j.envres.2020.109926] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/15/2020] [Revised: 07/01/2020] [Accepted: 07/07/2020] [Indexed: 05/29/2023]
Abstract
While accumulating evidence shows that air pollution exposure is an important risk factor to influenza prevalence, their association has been inadequately investigated in mountainous regions with dense populations and high humidity. We aim to estimate the association and exposure-outcome effects between exposure to nitrogen dioxide (NO2) and influenza prevalence in a mountainous region with a dense population and high humidity. We investigated 14,993 patients with confirmed influenza cases from January 2013 to December 2017 in Chongqing, a mountainous city in southwest China. We developed distributed lag non-linear models with quasi-Poisson link to take into account the lag and non-linear effects of NO2 exposure on influenza prevalence. We estimated that the cumulative effect of a 10 μg/m3 increase in NO2 with seven-day lag (i.e., summing all the contributions up to seven days) corresponded to relative risk of 1.24 (95% CI: 1.17-1.31) in daily influenza prevalence. Comparing to annual mean of the World Health Organization air quality guidelines of 40 μg/m3 for NO2, we estimated that 14.01% (95% CI: 10.69-17.08%) of the influenza cases were attributable to excessive NO2 exposure. Our results suggest that NO2 exposure could worsen the risk of influenza infection in this mountainous city, filling the gap of relevant researches in densely populated and mountainous cities. Our findings provide evidence for developing influenza surveillance and early warning systems.
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Affiliation(s)
- Wen Zeng
- Department of Environmental Science and Engineering, Sichuan University, Chengdu, Sichuan, 610065, China
| | - Han Zhao
- Chongqing Center for Disease Control and Prevention, Chongqing, China
| | - Rui Liu
- Ministry of Education Key Laboratory of Child Development and Disorders; National Clinical Research Center for Child Health and Disorders; Children's Hospital of Chongqing Medical University, Chongqing, PR China
| | - Wei Yan
- Chongqing Center for Disease Control and Prevention, Chongqing, China
| | - Yang Qiu
- Department of Environmental Science and Engineering, Sichuan University, Chengdu, Sichuan, 610065, China
| | - Fumo Yang
- Department of Environmental Science and Engineering, Sichuan University, Chengdu, Sichuan, 610065, China; National Engineering Research Center for Flue Gas Desulfurization, Chengdu, Sichuan, 610065, China
| | - Chang Shu
- Ministry of Education Key Laboratory of Child Development and Disorders; National Clinical Research Center for Child Health and Disorders; Children's Hospital of Chongqing Medical University, Chongqing, PR China.
| | - Yu Zhan
- Department of Environmental Science and Engineering, Sichuan University, Chengdu, Sichuan, 610065, China; National Engineering Research Center for Flue Gas Desulfurization, Chengdu, Sichuan, 610065, China; Medical Big Data Center, Sichuan University, Chengdu, Sichuan, 610041, China; Sino-German Centre for Water and Health Research, Sichuan University, Chengdu, Sichuan, 610065, China.
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23
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Wang C, Qi Y, Zhu G. Deep learning for predicting the occurrence of cardiopulmonary diseases in Nanjing, China. CHEMOSPHERE 2020; 257:127176. [PMID: 32497840 DOI: 10.1016/j.chemosphere.2020.127176] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/24/2020] [Revised: 05/18/2020] [Accepted: 05/21/2020] [Indexed: 06/11/2023]
Abstract
The efficiency of disease prevention and medical care service necessitated the prediction of incidence. However, predictive accuracy and power were largely impeded in a complex system including multiple environmental stressors and health outcome of which the occurrence might be episodic and irregular in time. In this study, we established four different deep learning (DL) models to capture inherent long-term dependencies in sequences and potential complex relationships among constituents by initiating with the original input into a representation at a higher abstract level. We collected 504,555 and 786,324 hospital outpatient visits of grouped categories of respiratory (RESD) and circulatory system disease (CCD), respectively, in Nanjing from 2013 through 2018. The matched observations in time-series that might pose risk to cardiopulmonary health involved conventional air pollutants concentrations and metrological conditions. The results showed that a well-trained network architecture built upon long short-term memory block and a working day enhancer achieved optimal performance by three quantitative statistics, i.e., 0.879 and 0.902 of Nash-Sutcliffe efficiency, 0.921% and 0.667% of percent bias, and 0.347 and 0.312 of root mean square error-standard deviation ratio for RESD and CCD hospital visits, respectively. We observed the non-linear association of nitrogen dioxide and ambient air temperature with CCD hospital visits. Furthermore, these two environmental stressors were identified as the most sensitive predictive variables, and exerted synergetic effect for two health outcomes, particular in winter season. Our study indicated that high-quality surveillance data of atmospheric environments could provide novel opportunity for anticipating temporal trend of cardiopulmonary health outcomes based on DL model.
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Affiliation(s)
- Ce Wang
- School of Energy and Environment, Southeast University, Nanjing, 210096, China; State Key Laboratory of Environmental Medicine Engineering, Ministry of Education, Southeast University, Nanjing, 210096, PR China.
| | - Yi Qi
- School of Architecture and Urban Planning, Nanjing University, No. 22, Hankoulu Road, Nanjing, 210093, PR China.
| | - Guangcan Zhu
- School of Energy and Environment, Southeast University, Nanjing, 210096, China; State Key Laboratory of Environmental Medicine Engineering, Ministry of Education, Southeast University, Nanjing, 210096, PR China.
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24
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Wenfang G, Yi L, Wang P, Wang B, Li M. Assessing the effects of meteorological factors on daily children's respiratory disease hospitalizations: A retrospective study. Heliyon 2020; 6:e04657. [PMID: 32817894 PMCID: PMC7424195 DOI: 10.1016/j.heliyon.2020.e04657] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2020] [Revised: 07/09/2020] [Accepted: 08/04/2020] [Indexed: 01/27/2023] Open
Abstract
Respiratory disease symptoms in children are aggravated by frequent changes in meteorological conditions. The net effective temperature (NET) integrates temperature, relative humidity, and wind speed as a cooling indicator. This study aims to assess the effect of daily changes in meteorological factors and corresponding NET data on children's hospitalizations for different ages, genders and subtypes of respiratory infections in Baotou, China. Distributed lag non-linear models were constructed to simultaneously assess the exposure–response associations between daily admission counts of children with respiratory diseases and daily NET and other meteorological factors, as well as their lag dependencies. As air pollution significantly affects the respiratory tract, it was considered as confounding factor. In general, the cumulative meteorological factors had greater effects on lower respiratory tract infections than upper respiratory tract infections (RR: temperature [5.21 vs. 2.33], wind speed [4.89 vs. 3.12], and humidity [1.77 vs. 0.97]). The effects of cumulative meteorological factors on female children were greater than those on male children (RR: temperature [2.14 vs. 1.82], wind speed [5.46 vs. 1.90], and humidity [1.60 vs. 1.55]). Temperature and wind speed showed an influence on 4–7-year-old children, but these factors had no influence on other age groups; humidity only showed an influence on the 0–3-year-old group. The NET value had a large effect on lower respiratory infections, in the 4–7-year-old group and female children. In conclusion, a complex non-linear relationship exists between climate variability and children's respiratory diseases. The results of the study can be used to support the development of important meteorological information tools for early warnings of respiratory disease events in children. Concurrently, the NET values can be used for comprehensive assessments of climate change in the future, which will help the government and health authorities better minimize the impacts of children's respiratory diseases.
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Affiliation(s)
- Guo Wenfang
- Inner Mongolia Autonomous Region Academy of Traditional Medicine, Hohhot 010020, China.,Inner Mongolia Hospital of Traditional Chinese Medicine, Hohhot 010020, China
| | - Letai Yi
- Inner Mongolia Autonomous Region Academy of Traditional Medicine, Hohhot 010020, China.,Inner Mongolia Hospital of Traditional Chinese Medicine, Hohhot 010020, China
| | - Peng Wang
- The First Affiliated Hospital of Baotou Medical College, Baotou 014000, China
| | - Baojun Wang
- Inner Mongolia Baotou City Central Hospital, Baotou 014040, China
| | - Minhui Li
- Inner Mongolia Autonomous Region Academy of Traditional Medicine, Hohhot 010020, China.,Inner Mongolia Hospital of Traditional Chinese Medicine, Hohhot 010020, China.,Baotou Medical College, Baotou 014060, China
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25
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Lam HCY, Huang Z, Liu S, Guo C, Goggins WB, Chan EYY. Personal Cold Protection Behaviour and Its Associated Factors in 2016/17 Cold Days in Hong Kong: A Two-Year Cohort Telephone Survey Study. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2020; 17:ijerph17051672. [PMID: 32143415 PMCID: PMC7084253 DOI: 10.3390/ijerph17051672] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/07/2020] [Revised: 02/28/2020] [Accepted: 02/29/2020] [Indexed: 12/22/2022]
Abstract
Background: Despite larger health burdens attributed to cold than heat, few studies have examined personal cold protection behaviours (PCPB). This study examined PCPB during cold waves and identified the associated factors in a subtropical city for those without central heating system. Methods: A cohort telephone survey was conducted in Hong Kong during a colder cold wave (2016) and a warmer cold wave (2017) among adults (≥15). Socio-demographic information, risk perception, self-reported adverse health effects and patterns of PCPB during cold waves were collected. Associated factors of PCPB in 2017 were identified using multiple logistic regression. Results: The cohort included 429 subjects. PCPB uptake rates were higher during the colder cold wave (p < 0.0005) except for ensuring indoor ventilation. Of the vulnerable groups, 63.7% had low self-perceived health risks. High risk perception, experience of adverse health effects during the 2016 cold wave, females and older groups were positive associated factors of PCPB in 2017 (p < 0.05). Conclusions: PCPB changed with self-risk perception. However vulnerable groups commonly underestimated their own risk. Indoor ventilation may be a concern during cold days in settings that are less prepared for cold weather. Targeted awareness-raising promotion for vulnerable groups and practical strategies for ensuring indoor ventilation are needed.
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Affiliation(s)
- Holly Ching Yu Lam
- National Heart and Lung Institute, Imperial College London, Emmanuel Kaye Building, London SW3 6LR, UK;
- Collaborating Centre for Oxford University and CUHK for Disaster and Medical Humanitarian Response (CCOUC), Faculty of Medicine, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China; (Z.H.); (S.L.); (C.G.)
- Jockey Club School of Public Health and Primary Care, Chinese University of Hong Kong, New Territories, Hong Kong, China;
| | - Zhe Huang
- Collaborating Centre for Oxford University and CUHK for Disaster and Medical Humanitarian Response (CCOUC), Faculty of Medicine, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China; (Z.H.); (S.L.); (C.G.)
- Jockey Club School of Public Health and Primary Care, Chinese University of Hong Kong, New Territories, Hong Kong, China;
| | - Sida Liu
- Collaborating Centre for Oxford University and CUHK for Disaster and Medical Humanitarian Response (CCOUC), Faculty of Medicine, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China; (Z.H.); (S.L.); (C.G.)
- Jockey Club School of Public Health and Primary Care, Chinese University of Hong Kong, New Territories, Hong Kong, China;
| | - Chunlan Guo
- Collaborating Centre for Oxford University and CUHK for Disaster and Medical Humanitarian Response (CCOUC), Faculty of Medicine, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China; (Z.H.); (S.L.); (C.G.)
- Jockey Club School of Public Health and Primary Care, Chinese University of Hong Kong, New Territories, Hong Kong, China;
| | - William Bernard Goggins
- Jockey Club School of Public Health and Primary Care, Chinese University of Hong Kong, New Territories, Hong Kong, China;
| | - Emily Ying Yang Chan
- Collaborating Centre for Oxford University and CUHK for Disaster and Medical Humanitarian Response (CCOUC), Faculty of Medicine, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China; (Z.H.); (S.L.); (C.G.)
- Jockey Club School of Public Health and Primary Care, Chinese University of Hong Kong, New Territories, Hong Kong, China;
- Nuffield Department of Medicine, University of Oxford, Oxford OX3 7LF, UK
- Correspondence: ; Tel.: +852-2252-8411
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