1.Association between temperature and injury death and related excess death burden in Hunan Province
Yiqing XU ; Chunliang ZHOU ; Qianlai SUN ; Donghui JIN ; Jianxiong HU ; Guanhao HE ; Wenjun MA ; Zhihong DENG
Journal of Environmental and Occupational Medicine 2025;42(5):528-535
Background Injury poses a serious threat to human health. As global warming continues to intensify, there is an urgent need to explore the impact of temperature changes on injury deaths. However limited research has focused on this issue. Objective To investigate the relationship between daily mean temperature change (Tm) and injury death, as well as to estimate the associated future death burden in Hunan Province. Methods We employed an individual-level, time-stratified case-crossing design to establish a conditional logistic regression model to analyze the exposure-response relationship between daily mean temperature change and injury death in Hunan Province from 2013 to 2018. Consequently, we conducted subgroup analysis of gender, age group, and injury type. Finally, we estimated the excess burden of injury death attributable to temperature changes under a sustainable development path [low emission scenario (SSP1-2.6)], regional competition path [high emission scenario (SSP3-7.0)], or fossil fuel development path [very high emission scenario (SSP5-8.5)]. Results The study collected
2.Construction of AQHI based on joint effects of multi-pollutants in 5 provinces of China
Jinghua GAO ; Chunliang ZHOU ; Jianxiong HU ; Ruilin MENG ; Maigeng ZHOU ; Zhulin HOU ; Yize XIAO ; Min YU ; Biao HUANG ; Xiaojun XU ; Tao LIU ; Weiwei GONG ; Donghui JIN ; Mingfang QIN ; Peng YIN ; Yiqing XU ; Guanhao HE ; Xianbo WU ; Weilin ZENG ; Wenjun MA
Journal of Environmental and Occupational Medicine 2023;40(3):281-288
Background Air pollution is a major public health concern. Air Quality Health Index (AQHI) is a very important air quality risk communication tool. However, AQHI is usually constructed by single-pollutant model, which has obvious disadvantages. Objective To construct an AQHI based on the joint effects of multiple air pollutants (J-AQHI), and to provide a scientific tool for health risk warning and risk communication of air pollution. Methods Data on non-accidental deaths in Yunnan, Guangdong, Hunan, Zhejiang, and Jilin provinces from January 1, 2013 to December 31, 2018 were obtained from the corresponding provincial disease surveillance points systems (DSPS), including date of death, age, gender, and cause of death. Daily meteorological (temperature and relative humidity) and air pollution data (SO2, NO2, CO, PM2.5, PM10, and maximum 8 h O3 concentrations) at the same period were respectively derived from China Meteorological Data Sharing Service System and National Urban Air Quality Real-time Publishing Platform. Lasso regression was first applied to select air pollutants, then a time-stratified case-crossover design was applied. Each case was matched to 3 or 4 control days which were selected on the same days of the week in the same calendar month. Then a distributed lag nonlinear model (DLNM) was used to estimate the exposure-response relationship between selected air pollutants and mortality, which was used to construct the AQHI. Finally, AQHI was classified into four levels according to the air pollutant guidance limit values from World Health Organization Global Air Quality Guidelines (AQG 2021), and the excess risks (ERs) were calculated to compare the AQHI based on single-pollutant model and the J-AQHI based on multi-pollutant model. Results PM2.5, NO2, SO2, and O3 were selected by Lasso regression to establish DLNM model. The ERs for an interquartile range (IQR) increase and 95% confidence intervals (CI) for PM2.5, NO2, SO2 and O3 were 0.71% (0.34%–1.09%), 2.46% (1.78%–3.15%), 1.25% (0.9%–1.6%), and 0.27% (−0.11%–0.65%) respectively. The distribution of J-AQHI was right-skewed, and it was divided into four levels, with ranges of 0-1 for low risk, 2-3 for moderate risk, 4-5 for high health risk, and ≥6 for severe risk, and the corresponding proportions were 11.25%, 64.61%, 19.33%, and 4.81%, respectively. The ER (95%CI) of mortality risk increased by 3.61% (2.93–4.29) for each IQR increase of the multi-pollutant based J-AQHI , while it was 3.39% (2.68–4.11) for the single-pollutant based AQHI . Conclusion The J-AQHI generated by multi-pollutant model demonstrates the actual exposure health risk of air pollution in the population and provides new ideas for further improvement of AQHI calculation methods.
3.Risk factors in blood for attacks of angina in patients with coronavirus disease 2019 and stable angina.
Song GENG ; Donghui ZHOU ; Qi WANG ; Guofeng WANG ; Wei WEI ; Tao YU ; Zhiying DUAN ; Jing LIU ; Fei YU ; Yuanzhe JIN
Chinese Medical Journal 2023;136(11):1373-1375
Humans
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Angina, Stable
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COVID-19
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Risk Factors
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Patients
4.Injuryrelated mortality among children aged 0-14 years in Hunan Province during 2014-2021
LIU Yuan, YIN Li, XU Qiaohua, JIN Donghui
Chinese Journal of School Health 2023;44(8):1234-1237
Objective:
To explore injury related mortality among children aged 0-14 years in Hunan, to provide reliable data support for injury prevention among children aged 0-14 years in the region.
Methods:
A descriptive analysis on child mortality data from 2014 to 2021 of injuries collected from 28 death surveillance spots in Hunan was conducted.
Results:
The mortality rate of injures among children aged 0-14 years in Hunan decreased from 20.19/100 000 (adjusted mortality: 25.32/100 000) in 2014 to 11.05/100 000 (adjusted mortality: 13.71/100 000) in 2021 (APC=-9.4%, P <0.05), and the annual average mortality rate was 14.86/100 000, there were 17.29/100 000 boys and 11.96/100 000 girls, with statistically significant gender differences ( χ 2= 27 835.54 , P <0.05). The average mortality rate of drowning among different causes of injury and death was 5.98/100 000, followed by the average mortality rate of road traffic accidents of 3.38/100 000.
Conclusion
There is a downward trend of deaths due to injures for children aged 0-14 years in Hunan during 2014-2021, with an obvious gender difference. Drowning and traffic accidents are the main cause of injury related deaths for children aged 0-14 years. Steady monitoring of children injury is vital for children injury prevention. Children safety and health education, and related effective policies and legal provisions should be developed and enhanced.
5.Prevalence of exposure to cooking-based polluting fuels and biofuels of residents aged 40 years and above in some regions of Hunan Province
Lei YIN ; Liping HU ; Zhao XI ; Donghui JIN
Journal of Public Health and Preventive Medicine 2021;32(2):22-25
Objective To investigate the prevalence of exposure to cooking-based polluting fuels and biofuels of residents aged over 40 years in some regions of Hunan Province, and to provide a basis for future prevention and control of the pollutant fuels. Methods The present survey was carried out on residents from five chronic obstructive pulmonary disease surveillance sites in Hunan Province in 2019. A multi-stage stratified cluster sampling strategy was conducted to determine resident participants for the present study. A face-to-face inquiry survey was used to collect the relevant data of the participants. After complex weighting of the samples, the prevalence of residents’ exposure to the pollutant fuel and biofuel was analyzed. Results A total of 2 981 residents aged 40 years and above were included in the analysis. With complex weighting, the exposure rate of polluting fuels and biofuels were 19.69%(95%CI:18.11%-21.27%)and 16.14%(95%CI:14.66%-17.62%), respectively, among residents aged over 40 years in Hunan. The exposure rates of polluting fuels and biomass fuels were both higher in females than males, and higher in rural areas than urban areas (both P<0.05). The exposure rates of polluting fuels and biomass fuels both decreased with age and education level (both P<0.05). Conclusion The use of polluting fuels and biomass fuels for cooking among residents aged 40 years and above is still popular in some regions of Hunan Province. Appropriate measures should be taken toward rural women to reduce their exposure to polluting fuels and biofuels.
6.Application of SimMan 3G simulator based scenario simulation and case based learning in emergency medicine teaching
Jin WANG ; Donghui LI ; Xiafang ZHOU ; Jianfeng XU ; Guangtian YANG ; Lifen QIAO
Chinese Journal of Medical Education Research 2021;20(2):179-181
Objective:To explore the effect of SimMan 3G simulator based scenario simulation teaching method and case-based learning (CBL) in emergency medicine teaching.Methods:Sixty students from Batch 2013 eight-year program of clinical medicine were selected as subjects. They were randomly divided into an experimental group and a control group, with 30 students in each group. In the teaching of emergency medicine, the experimental group used the combination of scenario simulation with CBL teaching methods, and the control group used classic teaching methods. The test scores and the questionnaires satisfaction of the two groups were compared to evaluate the teaching effects. SPSS 17.0 was used for the statistical analysis, measurement data were compared between the groups by t test, and counting data were compared between groups by chi-square test.Results:The scores of the experimental group (94.24±1.13) were better than those of the control group (90.6±0.59), with significant differences ( t=12.85, P<0.05). The results of the questionnaires showed that the students of experimental group were more satisfied with the learning experience than those of the control group. Conclusion:The teaching method can improve the teaching effects, the students' emergency clinical thinking, skills, comprehensive analysis and judgment ability, team cooperation consciousness and leadership ability.
7.Risk factors for lung cancer based on low-dose computed tomography screening
Yujing JIN ; Wei TANG ; Yao HUANG ; Jianwei WANG ; Donghui HOU ; Linlin QI ; Shijun ZHAO ; Ning WU
Chinese Journal of Oncology 2020;42(3):222-227
Objective:To analyze the risk factors related to lung cancer in participants with low-dose computed tomography (LDCT) screening, to provide data support for identifying high-risk groups of lung cancer and to improve the effectiveness of LDCT lung cancer screening.Methods:A total of 5 366 asymptomatic subjects (2 762 males and 2 604 females) who underwent LDCT lung cancer screening were recruited at Cancer Hospital, Chinese Academy of Medical Sciences from 2014 to 2017. The result of LDCT and the risk factors of participants were analyzed. The LDCT positive results were defined as solid or part-solid nodules≥5 mm and non-solid nodule≥8 mm. A total of 12 factors were included and multivariate logistic regression was used to analyze the risk factors associated with lung cancer in the study.Results:Of the 5 366 asymptomatic subjects, 389 were positive and 4 977 were negative for LDCT screening. Among them, 26 of 389 positive cases were confirmed as lung cancers pathologically, and the detection rate of stage I lung cancer was 92.3% (24/26). Multivariate logistic regression showed that age, smoking, low level of education were the relevant risk factors for lung cancer and positive nodules. A stratified analysis of age showed that no risk factors were detected in the 40-49 years old group, while age, smoking, low level of education (primary school and below) were recognized as risk factors in the ≥50 years old group. No statistically significant risk factor was detected between the lung cancer group and the positive nodules group.Conclusions:Age, smoking, and low level of education (primary school and below) are related risk factors for lung cancer and positive nodules. People aged 50 years or older, smoking, and low level of education may be a high risk group for lung cancer. LDCT can effectively detect early lung cancer.
8.Risk factors for lung cancer based on low-dose computed tomography screening
Yujing JIN ; Wei TANG ; Yao HUANG ; Jianwei WANG ; Donghui HOU ; Linlin QI ; Shijun ZHAO ; Ning WU
Chinese Journal of Oncology 2020;42(3):222-227
Objective:To analyze the risk factors related to lung cancer in participants with low-dose computed tomography (LDCT) screening, to provide data support for identifying high-risk groups of lung cancer and to improve the effectiveness of LDCT lung cancer screening.Methods:A total of 5 366 asymptomatic subjects (2 762 males and 2 604 females) who underwent LDCT lung cancer screening were recruited at Cancer Hospital, Chinese Academy of Medical Sciences from 2014 to 2017. The result of LDCT and the risk factors of participants were analyzed. The LDCT positive results were defined as solid or part-solid nodules≥5 mm and non-solid nodule≥8 mm. A total of 12 factors were included and multivariate logistic regression was used to analyze the risk factors associated with lung cancer in the study.Results:Of the 5 366 asymptomatic subjects, 389 were positive and 4 977 were negative for LDCT screening. Among them, 26 of 389 positive cases were confirmed as lung cancers pathologically, and the detection rate of stage I lung cancer was 92.3% (24/26). Multivariate logistic regression showed that age, smoking, low level of education were the relevant risk factors for lung cancer and positive nodules. A stratified analysis of age showed that no risk factors were detected in the 40-49 years old group, while age, smoking, low level of education (primary school and below) were recognized as risk factors in the ≥50 years old group. No statistically significant risk factor was detected between the lung cancer group and the positive nodules group.Conclusions:Age, smoking, and low level of education (primary school and below) are related risk factors for lung cancer and positive nodules. People aged 50 years or older, smoking, and low level of education may be a high risk group for lung cancer. LDCT can effectively detect early lung cancer.
9.Neuroprotective effects of benzatropine on rat model of nonarteritic anterior ischemic optic neuropathy
Linyang GAN ; Jiantao CUI ; Yuyu CHOU ; Yuhan WANG ; Hong DU ; Donghui LI ; Wei DAI ; Hong ZHANG ; Dong ZHANG ; Jin MA ; Yong ZHONG
Chinese Journal of Ocular Fundus Diseases 2019;35(3):259-262
Objective To investigate the neuroprotective effect of Benztropine on retinal ganglion cells (RGCs) death and optic nerve injury in rats model of non-arteritis anterior ischemic optic neuropathy (rNAION).Methods A total of 25 Sprague-Dawley rats were randomly divided into Benztropine treatment group (n=13)and PBS control group (n=12).The right eye was set as the experimental eye.rNAION model was established by using rose Bengal combined with laser photodynamic method.The rats in the Benztropine treatment group were received intraperitoneal injection with Benztropine 10 mg/kg (0.2 ml) daily for 3 weeks,while the rats in the PBS control group were received intraperitoneal injection with an equal volume of PBS.At 1,3 and 7 days after modeling,the retinal and optic disc conditions of the rats were observed by direct ophthalmoscopy.Retrograde labeling,fluorescence microscopy and transmission electron microscopy were used to observe the survival of RGCs and the damage of the optic nerve myelin and axon at 4 weeks after modeling.The RGCs density and survival rate of the two groups were compared by One-Way Anova.Results At 1 and 3 days after modeling,the optic disc edema was observed in the rats of rNAION model group.At 7 days after modeling,the optic disc edema decreased and the boundary was blurred compared with 3 days after modeling.After 4 weeks,the RGCs density in the PBS group was 308± 194/mm2 and the survival rate was 13.7%.The density of RGCs in the Benztropine group was 1173+868/mm2 and the survival rate was 47.6%.The differences of RGCs density and survival rate were significant between the two groups (F=7.552,8.184;P=0.015,0.012).Myelin disintegration,axon degeneration,onion-like body and gliosis were observed in the optic nerve sections of rNIAON in the PBS group,while the damage ofaxon and myelin structure in the Benztropine group was significantly less than that in the PBS group.Conclusions Benztropine group showed higher RGC survival rate,less damage ofaxon and myelin structure on rNAION model.This study explored the potential neuroprotective effect of Benztropine.
10.Relationship between QT interval(QT)and metabolic syndrome
Shuo HAN ; Yuanzhe JIN ; Xiaohong ZHANG ; Zhiying DUAN ; Yingzi LIN ; Jing LIU ; Donghui ZHOU ; Qi WANG ; Jingru WANG ; Guofeng WANG ; Donghan ZHENG
The Journal of Practical Medicine 2018;34(9):1468-1471
Objective To investigate correlation between QT interval(QT),corrected QT interval(QTc) and metabolic syndrome(MS). Methods Residents who participated in our survey concerning atherosclerosis and related diseases conducted in Shenyang were included. They accomplished questionnaire,physical examination, laboratory tests and electrocardiography test. We divided them into MS group and non-metabolic syndrome (NMS)group according to International Diabetes Federation(IDF)diagnostic criteria for MS. QT interval was measured from the standard 12-lead electrocardiogram. QTc was calculated by using Bazett and Fridericia equations. We analyze correlation of QT ,QTc and MS. Results A total of 739 residents who were 35~64 years old were included. Individuals with MS had longer QTcB and QTcF than NMS group[(415.8 ± 31.9)ms vs.(410.1 ± 32.1)ms, (407.2± 29.1)ms vs.(402.6 ± 28.8)ms,P<0.05]. The more the number of abnormal MS parameters they had, the longer the QT,QTcB and QTcF they had. Regression analysis showed that QT was associated with serum potassium,smoking,blood glucose,and LDL,and QTcB and QTcF were associated with hypertension,waist circumference and blood potassium. Conclusions MS is associated with corrected QTc. Careful ECG monitoring among persons with MS for early detection of a long corrected QT interval may prevent severe and often fatal arrhythmias or sudden death.


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