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Effects of ambient temperature on daily emergency department visits for abdominal pain:a distributed lag nonlinear time series analysis in Wuhan 认领 引用
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作者 Manting Lin Shaozhou Ni Xiaoqing Jin 《Emergency and Critical Care Medicine》 2026年第1期16-24,共9页
Background:Ambient temperature has been shown to have a positive association with the increasing emergency department burden.However,no studies have investigated the effects of ambient temperature on the number of eme... Background:Ambient temperature has been shown to have a positive association with the increasing emergency department burden.However,no studies have investigated the effects of ambient temperature on the number of emergency department visits(EDVs)for abdominal pain.Therefore,we conducted this study to evaluate the relationship between the two,with the aim of rationally allocating medical resources.Methods:We collected daily numbers of EDVs for abdominal pain data from the Zhongnan Hospital of Wuhan University and daily meteorological data from Wuhan from January 1,2016,to December 31,2018.We chose a generalized additive model combined with a distributed lag nonlinear model to assess the short-term effects of ambient temperature on EDVs for abdominal pain.We conducted stratification analyses according to sex,age,and the Chinese Emergency Triage Scale.Results:A total of 16,318 visits for abdominal pain were identified during the study period.The significant effects of extremely low temperature(-1°C)and moderately high temperature(26°C)were observed at Lag 0 day and Lag 0-1 day models.In the Lag 0 day model,the relative risks for extremely low and moderately high temperatures were 0.83(95%confidence interval[CI]:0.70-0.99;P=0.038)and 1.15(95%CI:1.06-1.25;P=0.001),respectively.Younger people were more likely to be affected by temperature.Cold and mildly hot weather were associated with the L2 and L3 levels,respectively.Moreover,low temperatures were negatively correlated with the risk of urolithiasis and cholecystitis.Conclusion:Low temperatures significantly reduced abdominal pain-related EDVs,whereas high temperatures had the opposite effect. 展开更多
关键词 Abdominal pain Ambient temperature Chinese emergency triage scale Distributed lag nonlinear model Emergency department visits Time-series study
Association between ambient temperature variability and ST-segment elevation myocardial infarction in cold regions,China:A time-series analysis 认领 引用
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作者 Sizheng Peng Kai Du +9 位作者 Hongyan Zhao Yingtao Zhang Ruiyi Chen Haiyu Zhang Kai Dong Hongxin Xu Yue Li Leilei Yin Yuhui Sun Tao Song 《Frigid Zone Medicine》 2026年第2期65-75,共11页
Objective:This study investigated the impact of daily ambient temperature and temperature changes between neighboring days(TCN)on the risk of ST-segment elevation myocardial infarction(STEMI)in cold regions using a ti... Objective:This study investigated the impact of daily ambient temperature and temperature changes between neighboring days(TCN)on the risk of ST-segment elevation myocardial infarction(STEMI)in cold regions using a time-series approach.Methods:From January 1,2017 to December 31,2020,STEMI cases were collected from the largest medical center in Heilongjiang Province,excluding patients with incomplete data or unclear symptom onset times.Meteorological variables and air pollutant data corresponding to patients'residential address were matched from nearby monitoring stations.A distributed lag nonlinear model(DLNM)with a lag period of 0-21 days was applied to assess the effects of suboptimal temperatures on STEMI risk and lag structures.Different temperature indicators(maximum,mean,minimum,and TCN)were compared,and subgroup analyses by sex and age were performed to evaluate population-specific susceptibility.Results:A total of 1461 days were included,comprising 4700 STEMI cases.Cold exposure was associated with a significant increase in STEMI incidence,with a delayed onset of 3 days and a prolonged effect lasting up to 20 days.In contrast,the heat effect was immediate and persisted for approximately 3 days.In the 21-day cumulative relative risk(CRR)analysis,using a median temperature of 6.6,the minimum morbidity temperature was identified at 17(CRR 0.709,95%CI 0.345-1.457).Notably,the highest incidence did not occur at the lowest temperature(-29,CRR 1.201,95%CI 0.273-5.273).Instead,STEMI risk increased as temperatures rose from extreme cold,reaching a peak at-10℃(CRR 1.63,95%CI 0.905-2.936).Under conditions of extreme cooling(TCN=-11),STEMI risk increased from lag 0 to 7(relative risk[RR]2.239,95%CI 0.279-17.936).Conclusions:In cold regions,extreme temperatures,especially sustained cold exposure,significantly increase the risk of STEMI.Rapid temperature drops between consecutive days further elevate incidence,highlighting the importance of both absolute temperature and short-term temperature variability in cardiovascular risk. 展开更多
关键词 st segment elevation myocardial infarction cold regions air pollutant data ambient temperature distributed lag nonlinear model temperature variability time series analysis cardiovascular risk
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Spatiotemporal Distribution and Epidemiological Characteristics of Hospital Admissions for Carbon Monoxide Poisoning in Guangdong,China,2013-2020 认领 引用 被引量：1
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作者 XIAO Bin ZHANG You Miao +5 位作者 ZHOU Jing XU Cheng Dong HU Wei WEN Wei CHEN Jia Bin SUN Cheng Ye 《Biomedical and Environmental Sciences》 SCIE CAS CSCD 2022年第10期943-953,共11页
Objective This study aimed to determine the spatiotemporal distribution and epidemiological characteristics of hospital admissions for carbon monoxide poisoning(COP)in Guangdong,China,from 2013 to 2020.Methods Data on... Objective This study aimed to determine the spatiotemporal distribution and epidemiological characteristics of hospital admissions for carbon monoxide poisoning(COP)in Guangdong,China,from 2013 to 2020.Methods Data on age-and sex-specific numbers of hospital admissions due to COP in Guangdong(2013-2020)were collected.Daily temperatures were downloaded through the China Meteorological Data Sharing Service System.We analyzed temporal trends through time series decomposition and used spatial autocorrelation analysis to detect spatial clustering.The distributed lag nonlinear model was used to quantify the effects of temperature.Results There were 48,854 COP admissions over the study period.The sex ratio(male to female)was1:1.74.The concentration ratios(M)ranged from 0.73-0.82.The highest risk occurred in January(season index=3.59).Most cases were concentrated in the northern mountainous areas of Guangdong with high-high clustering.COP in the study region showed significant spatial autocorrelation,and the global Moran’s I value of average annual hospital admission rates for COP was 0.447(P<0.05).Low temperatures were associated with high hospital admission rates for COP,with a lag lasting 7 days.With a lag of 0 days,the effects of low temperatures[5th(12℃)]on COP were 2.24-3.81,as compared with the reference temperature[median(24℃)].Conclusion COP in Guangdong province showed significant temporal and spatial heterogeneity.Low temperature was associated with a high risk of COP,and the influence had a lag lasting 7 days. 展开更多
关键词 Carbon monoxide poisoning Hospitalization Distributed lag nonlinear model Spatialtemporal model
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Short-term effects of low-level PM2.5,PM10,O3,and tropical meteorological conditions on emergency department visits for respiratory diseases in Haikou,China 认领 引用
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作者 Jichao Peng Jun Chen +10 位作者 Xinxin Wu Jin Qian Nan Li Yang Yi Yue Huang Juncai Lu Wenxing Zhang Zhengyu Li Zhao Li Min Li Xiaoran Liu 《Asian Pacific Journal of Tropical Medicine》 SCIE CAS 2024年第7期317-328,I0010,I0011,共12页
Objective:To assess the correlation between atmospheric pollutants,meteorological factors,and emergency department visits for respiratory diseases in Haikou City.Methods:Daily data on atmospheric pollutants,meteorolog... Objective:To assess the correlation between atmospheric pollutants,meteorological factors,and emergency department visits for respiratory diseases in Haikou City.Methods:Daily data on atmospheric pollutants,meteorological factors,and emergency department visits for respiratory diseases in Haikou City from 2018 to 2021 were collected.The Spearman rank correlation test was used to analyze the correlation,and a distributed lag non-linear model was employed to analyze the health effects and lag impacts of environmental factors.Subgroup analyses were conducted based on sex and age.Results:According to the criteria of International Classification of Diseases(ICD-10:J00-J99),a total of 221913 cases were included,accounting for 21.3%of the total emergency department visits in Haikou City.For every 1℃increase in temperature,the risk of emergency department visits increased by 1.029%(95%CI 1.016%-1.042%).Relative humidity greater than 80%reduced the risk of visits,while higher atmospheric pressure(>1010 hpa)also decreased the likelihood of daily emergency department visits.Higher concentrations of PM2.5(30-50μg/m3),PM10(>60μg/m3),and O3(75-125μg/m3)were associated with increased visits.Higher temperatures(>25℃)have a greater impact on females and children aged 0-14 years,while males are more sensitive to low atmospheric pressure.Individuals aged 65 and above exhibited increased sensitivity to O3concentration,and the effects of PM2.5,PM10,and O3are more pronounced in individuals over 14 years old.Conclusions:Short-term exposure to high temperatures,particulate matter pollutants(PM2.5and PM10),and ozone(O3)is associated with increased emergency department visits for respiratory diseases. 展开更多
关键词 Distributed lag nonlinear model Meteorological factors Air pollution Emergency department visits Respiratory diseases
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Hourly Relative Humidity and Fall Injuries in China: A Nationwide Case-Crossover Study Based on 4.19 Million Cases 认领 引用
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作者 Weiquan Zeng Yuliang Er +15 位作者 Pengpeng Ye Yan Ma Yuan Fang Guanhao He Jianxiong Hu Yuan Wang Mengen Guo Xiao Deng Ye Jin Ying Xu Tao Liu Cuirong Ji Sujuan Chen Yanfang Guo Leilei Duan Wenjun Ma 《Environment & Health》 CAS CSCD 2025年第8期888-897,共10页
Falls represent a significant public health issue worldwide.Previous studies have demonstrated associations of temperature with fall risk,but the effect and burden of hourly relative humidity and fall morbidity have b... Falls represent a significant public health issue worldwide.Previous studies have demonstrated associations of temperature with fall risk,but the effect and burden of hourly relative humidity and fall morbidity have been rarely investigated.Fall data and meteorological data were collected from the National Injury Surveillance System during 2006−2021 in China.Associations between hourly relative humidity and fall onset were analyzed using conditional logistic regression combined with a distributed lag nonlinear model.Stratified analysis was used to identify potential association modifiers.Several sensitivity analyses were applied to examine the robustness of the results.The study involved 4197495 fall-related cases.Relative humidity exhibited monotonic relationships with the fall onset risk.The excess risk(ER)of falls appeared immediately at lag 0 h and persisted for 8 h.A 10%decrease in relative humidity was associated with a 1.35%(95%confidence interval[CI]:0.83−1.87%)increase in excess risk of falls and much higher risk for males(ER=1.89%,95%CI:1.29−2.48%)than that for females(ER=0.52%,95%CI:0.14−0.90%).The excess risk of fall injury was the highest among individuals aged 5−14 years(ER=3.45%,95%CI:2.57−4.32%)compared to other age groups.Moreover,compared to the highest relative humidity,the attributable fraction(AF)due to low relative humidity exposure was 4.94%(95%CI:4.88−4.98%).Subgroup analyses revealed that males,individuals aged 5−14 years,students,cases occurring in public places,and cases engaged in sports activities were more susceptible to relative humidity than their correspondents.Regional disparities were observed,with individuals in southern China or warm regions showing greater sensitivity to changes in relative humidity.Results of this study suggest that hourly low relative humidity exposure is associated with an increased risk of fall onset.These findings underscore the necessity of time-specific interventions to mitigate the relative humidity risk. 展开更多
关键词 Hourly relative humidity Fall injury Distributed lagged nonlinear model Case-crossover study China
Epidemiological characteristics of tuberculosis incidence and its macro-influence factors in Chinese mainland during 2014-2021 认领 引用 被引量：11
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作者 Le-le Deng Fei Zhao +3 位作者 Zhuo-wei Li Wei-wei Zhang Guang-xue He Xiang Ren 《Infectious Diseases of Poverty》 SCIE CAS CSCD 2024年第3期43-57,共15页
Background Tuberculosis(TB)remains a pressing public health issue,posing a significant threat to individuals'well-being and lives.This study delves into the TB incidence in Chinese mainland during 2014-2021,aiming... Background Tuberculosis(TB)remains a pressing public health issue,posing a significant threat to individuals'well-being and lives.This study delves into the TB incidence in Chinese mainland during 2014-2021,aiming to gain deeper insights into their epidemiological characteristics and explore macro-level factors to enhance control and prevention.Methods TB incidence data in Chinese mainland from 2014 to 2021 were sourced from the National Notifiable Disease Reporting System(NNDRS).A two-stage distributed lag nonlinear model(DLNM)was constructed to evaluate the lag and non-linearity of daily average temperature(℃,Atemp),average relative humidity(%,ARH),average wind speed(m/s,AWS),sunshine duration(h,SD)and precipitation(mm,PRE)on the TB incidence.A spatial panel data model was used to assess the impact of demographic,medical and health resource,and economic factors on TB incidence.Results A total of 6,587,439 TB cases were reported in Chinese mainland during 2014-2021,with an average annual incidence rate of 59.17/100,000.The TB incidence decreased from 67.05/100,000 in 2014 to 46.40/100,000 in 2021,notably declining from 2018 to 2021(APC=-8.87%,95%CI:-11.97,-6.85%).TB incidence rates were higher among males,farmers,and individuals aged 65 years and older.Spatiotemporal analysis revealed a significant cluster in Xinjiang,Qinghai,and Xizang from March 2017 to June 2019(RR=3.94,P71.73%),low sunshine duration(<6.18 h)increased the risk of TB incidence,while extreme low wind speed(<2.79 m/s)decreased the risk.The spatial Durbin model showed positive associations between TB incidence rates and sex ratio(β=1.98),number of beds in medical and health institutions per 10,000 population(β=0.90),and total health expenses(β=0.55).There were negative associations between TB incidence rates and population(β=-1.14),population density(β=-0.19),urbanization rate(β=-0.62),number of medical and health institutions(β=-0.23),and number of health technicians per 10,000 population(β=-0.70).Conclusions Significant progress has been made in TB control and prevention in China,but challenges persist among some populations and areas.Varied relationships were observed between TB incidence and factors from meteorological,demographic,medical and health resource,and economic aspects.These findings underscore the importance of ongoing efforts to strengthen TB control and implement digital/intelligent surveillance for early risk detection and comprehensive interventions. 展开更多
关键词 Tuberculosis Surveillance Epidemiological characteristics Incidence Influence factor Distributed lag nonlinear model(DLNM) Spatial panel model China
Ambient Temperature and Years of Life Lost:A National Study in China 认领 引用 被引量：19
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作者 Tao Liu Chunliang Zhou +30 位作者 Haoming Zhang Biao Huang Yanjun Xu Lifeng Lin Lijun Wang Ruying Hu Zhulin Hou Yize Xiao Junhua Li Xiaojun Xu Donghui Jin Mingfang Qin Qinglong Zhao Weiwei Gong Peng Yin Yiqing Xu Jianxiong Hu Jianpeng Xiao Weilin Zeng Xing Li Siqi Chen Lingchuan Guo Zuhua Rong Yonghui Zhang Cunrui Huang Yaodong Du Yuming Guo Shannon Rutherford Min Yu Maigeng Zhou Wenjun Ma 《The Innovation》 EI 2021年第1期3-10,共8页
Although numerous studies have investigated premature deaths attributable to temperature,effects of temperature on years of life lost(YLL)remain unclear.We estimated the relationship between temperatures and YLL,and q... Although numerous studies have investigated premature deaths attributable to temperature,effects of temperature on years of life lost(YLL)remain unclear.We estimated the relationship between temperatures and YLL,and quantified the YLL per death caused by temperature in China.We collected daily meteorological and mortality data,and calculated the daily YLL values for 364 locations(2013–2017 in Yunnan,Guangdong,Hunan,Zhejiang,and Jilin provinces,and 2006–2011 in other locations)in China.A time-series design with a distributed lag nonlinear model was first employed to estimate the location-specific associations between temperature and YLL rates(YLL/100,000 population),and a multivariate meta-analysis model was used to pool location-specific associations.Then,YLL per death caused by temperatures was calculated.The temperature and YLL rates consistently showed U-shaped associations.A mean of 1.02(95%confidence interval:0.67,1.37)YLL per death was attributable to temperature.Cold temperature caused 0.98 YLL per death with most from moderate cold(0.84).The mean YLL per death was higher in those with cardiovascular diseases(1.14),males(1.15),younger age categories(1.31 in people aged 65–74 years),and in central China(1.34)than in those with respiratory diseases(0.47),females(0.87),older people(0.85 in people R75 years old),and northern China(0.64)or southern China(1.19).The mortality burden was modified by annual temperature and temperature variability,relative humidity,latitude,longitude,altitude,education attainment,and central heating use.Temperatures caused substantial YLL per death in China,which was modified by demographic and regional characteristics. 展开更多
关键词 TEMPERATURE YEARS OF LIFE LOST MORTALITY BURDEN DISTRIBUTED LAG NONLINEAR MODEL MULTIVARIATE META-ANALYSIS CHINA
Light at night and lung cancer risk:A worldwide interdisciplinary and time-series study 认领 引用 被引量：1
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作者 Runchen Wang Qixia Wang +12 位作者 Jianfu Li Jianrong Zhang Shixuan Lyu Wenhao Chi Zhiming Ye Xuanzhuang Lu Ying Shi Yubin Wang Xinjian Wu Ruiyu Hu Mónica Pérez-Ríos Jianxing He Wenhua Liang 《Chinese Medical Journal Pulmonary and Critical Care Medicine》 2024年第1期56-62,共7页
Background:Light at night(LAN)has become a concern in interdisciplinary research in recent years.This global interdisciplinary study aimed to explore the exposure-lag-response association between LAN exposure and lung... Background:Light at night(LAN)has become a concern in interdisciplinary research in recent years.This global interdisciplinary study aimed to explore the exposure-lag-response association between LAN exposure and lung cancer incidence.Methods:LAN data were obtained from the Defense Meteorological Satellite Program’s Operational Linescan System.Data of lung cancer incidence,socio-demographic index,and smoking prevalence of populations in 201 countrieserritories from 1992 to 2018 were collected from the Global Burden of Disease Study.Spearman correlation tests and population-weighted linear regression analysis were used to evaluate the correlation between LAN exposure and lung cancer incidence.A distributed lag nonlinear model(DLNM)was used to assess the exposure-lag effects of LAN exposure on lung cancer incidence.Results:The Spearman correlation coefficients were 0.286-0.355 and the population-weighted linear regression correlation coefficients were 0.361-0.527.After adjustment for socio-demographic index and smoking preva-lence,the Spearman correlation coefficients were 0.264-0.357 and the population-weighted linear regression correlation coefficients were 0.346-0.497.In the DLNM,the maximum relative risk was 1.04(1.02-1.06)at LAN exposure of 8.6 with a 2.6-year lag time.After adjustment for socio-demographic index and smoking prevalence,the maximum relative risk was 1.05(1.02-1.07)at LAN exposure of 8.6 with a 2.4-year lag time.Conclusion:High LAN exposure was associated with increased lung cancer incidence,and this effect had a specific lag period.Compared with traditional individual-level studies,this group-level study provides a novel paradigm of effective,efficient,and scalable screening for risk factors. 展开更多
关键词 Light at night Satellite imagery Lung cancer Distributed lag nonlinear model(DLNM) Melatonin
An exploration of the relationship between wastewater viral signals and COVID-19 hospitalizations in Ottawa,Canada 认领 引用 被引量：1
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作者 K.Ken Peng Elizabeth M.Renouf +3 位作者 Charmaine B.Dean X.Joan Hu Robert Delatolla Douglas G.Manuel 《Infectious Disease Modelling》 CSCD 2023年第3期617-631,共15页
Monitoring of viral signal in wastewater is considered a useful tool for monitoring the burden of COVID-19,especially during times of limited availability in testing.Studies have shown that COVID-19 hospitalizations a... Monitoring of viral signal in wastewater is considered a useful tool for monitoring the burden of COVID-19,especially during times of limited availability in testing.Studies have shown that COVID-19 hospitalizations are highly correlated with wastewater viral signals and the increases in wastewater viral signals can provide an early warning for increasing hospital admissions.The association is likely nonlinear and time-varying.This project employs a distributed lag nonlinear model(DLNM)(Gasparrini et al.,2010)to study the nonlinear exposure-response delayed association of the COVID-19 hospitalizations and SARS-CoV-2 wastewater viral signals using relevant data from Ottawa,Canada.We consider up to a 15-day time lag from the average of SARS-CoV N1 and N2 gene concen-trations to COVID-19 hospitalizations.The expected reduction in hospitalization is adjusted for vaccination efforts.A correlation analysis of the data verifies that COVID-19 hospital-izations are highly correlated with wastewater viral signals with a time-varying rela-tionship.Our DLNM based analysis yields a reasonable estimate of COVID-19 hospitalizations and enhances our understanding of the association of COVID-19 hospi-talizations with wastewater viral signals. 展开更多
关键词 Wastewater surveillance COVID-19 vaccination effectiveness Distributed lag nonlinear model Time varying correlation
The Relationship between Interest Rates and Inflation:Examining the Fisher Effect in China 认领 引用
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作者 Serdar Ongan Ismet Gocer 《Frontiers of Economics in China-Selected Publications from Chinese Universities》 2020年第2期247-256,共10页
This study revisits the Fisher effect using a different empirical method that considers a potential nonlinear relationship between interest rates(treasury bond rates)and inflation in China.The rising uncertainty and a... This study revisits the Fisher effect using a different empirical method that considers a potential nonlinear relationship between interest rates(treasury bond rates)and inflation in China.The rising uncertainty and asymmetric information in financial markets between bond holders and bond issuers suggest such a potential nonlinear relationship.To this aim,we apply Shin et al.'s(2014)nonlinear autoregressive distributed lag(NARDL)model with asymmetric dynamic multipliers for the sample period 2002M7-2018M4.The empirical findings reveal symmetric and asymmetric partial Fisher effects for all sample bond rates in China.Furthermore,we find that 20-year bond rates experience the lowest partial Fisher effect. 展开更多
关键词 Fisher effect nonlinear autoregressive distributed lag(NARDL)model asymmetric dynamic multipliers China treasury bonds inflation interest rates
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