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Background Dengue fever is a mosquito-borne disease transmitted by Aedes aegypti and Aedes albopictus. Under the background of climate change, there are great challenges in the prevention and control of dengue fever, posing a serious health risk to the population. Objective To analyze the mechanism of temperature on dengue fever transmission and estimate the risk of dengue fever under different climate change scenarios by establishing a coupled human-mosquito dynamics model using Guangzhou as a research site, and to provide reference for adaptation to climate change. Methods Reported dengue fever cases and meteorological data from January 1, 2015 to December 31, 2019 in Guangzhou were collected from Guangdong Provincial Center for Disease Control and Prevention and China Meteorological Data Service Centre, respectively. The temperature data under three Representative Concentration Pahtyway (RCP2.6, RCP4.5, and RCP8.5) scenarios in 2030s (2031–2040), 2060s (2061–2070), and 2090s (2091–2099) were calculated by five general circulation models (GCMs) provided by the fifth phase of the Coupled Model Intercomparison Project. A dengue fever transmission dynamics (ELPSEI-SEIR) model was constructed to analyze the mechanism of temperature affecting dengue fever transmission by fitting the dengue fever epidemic trend from 2015–2019, and then the daily mean temperature under selected RCP scenarios for 2030s, 2060s, and 2090s was incorporated into the established dynamics model to predict the risk of dengue fever under different climate change scenarios in the future. Results From January 1, 2015 to December 31, 2019, a total of 4 234 cases of dengue fever were reported in Guangzhou, including 3741 local cases and 493 imported cases. The regression results showed that the model well fitted the dengue fever cases in Guangzhou from 2015 to 2019, and the coefficient of determination R2 to evaluate goodness of fit and the root mean squared error were 0.82 and 1.96, respectively. A U-shaped or inverted U-shaped relationship between temperature and mosquito habits could directly affect the number of mosquitoes and the transmission of dengue fever. We also found that temperature increase in most future scenarios could promote the transmission of dengue fever, and the epidemic period was significantly wider than the baseline stage. The epidemic of dengue fever would peak in the 2060s under the scenarios of RCP2.6 and RCP4.5. The estimated incidence of dengue fever was predicated to be highest in the 2030s and then decrease in the following years under RCP8.5, and in the 2090s, the incidence would decrease significantly, but the incidence peak would be earlier in each year, mainly from May to July. Conclusion Temperature can directly affect mosquito population and dengue fever transmission by affecting mosquito habits. The cases of dengue fever will increase under most climate scenarios in the future. However, the epidemic risk of dengue fever may be suppressed, and the epidemic season may be advanced under RCP8.5.
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Background Global warming may increase the frequency of compound hot extreme (CHE).However, there is still a lack of studies assessing the associations between CHE and preterm birth (PTB), and the underlying biological mechanisms remain unclear. Objective To estimate the association of exposure to CHE during pregnancy with PTB, and to explore the roles of inflammatory, endothelial dysfunction, and oxidative stress in the association between CHE and PTB. Methods All participants were selected from the Prenatal Environments and Offspring Health (PEOH), a prospective birth cohort conducted in Guangzhou. In this study, a total of 2449 participants who gave birth from May to October in 2014 to 2017 were enrolled, and among them blood samples were collected from 311 preterm (n=43) and full-term (n=268) pregnant women at the time of delivery. A hot day/night was identified as a day when the daily maximum temperature/minimum temperature was higher than its 90th percentile in the study period, and a CHE was defined as having both a hot night and a following hot day. The meteorological data were obtained from the China Meteorological Data Sharing Service System. Anusplin was used to assess the daily maximum temperature, daily minimum temperature, and relative humidity of the participant residence. Enzyme-linked immunosorbent assay (ELISA) was used to measure C reactive protein (CRP), endothelin-1 (ET-1), and malondialdehyde (MDA) levels in maternal serum, and their results were transformed by natural logarithm. A distributed lag nonlinear model was used to investigate the associations of exposures to hot day, hot night, and CHE during pregnancy with PTB at different lag days, and a logistic regression model was used to investigate the associations of CRP, ET-1, and MDA with PTB. Results The incidence rate of PTB was 6.2% in all selected participants. Compared with the non-hot day, the RRs (95%CIs) of CHE in lag 3, 7, and 14 days on PTB were 1.43 (1.12-1.84), 1.24 (1.08-1.43), and 1.17 (1.05-1.30), respectively, and the cumulative effects (% difference) (95%CI) of CHE in lag 14 days on maternal serum CRP, ET-1, and MDA were 0.33% (−0.45%-1.12%), 0.59% (0.11%-1.07%), and 0.57% (0.09%-1.05%), respectively. Compared with the Q1 (lowest quartile) for CRP, ET-1 and MDA, the RRs (95%CIs) of Q4 (highest quartile) for PTB were 1.27 (0.50-3.22), 1.51 (0.61-3.72), and 2.07(0.81-5.27), respectively. Conclusion Maternal exposure to CHE during pregnancy might be associated with an increased risk of PTB. Prenatal exposure to CHE is positively associated with maternal serum CRP, ET-1, and MDA, and the three biochemical indicators are also positively associated with PTB. However, the above conclusions still need further confirmation.
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Background Stroke has become a main cause of death in China. With global warming, the studies on temperature and stroke have attracted much attention. Objective To analyze he relationships between heatwave and the years of life lost (YLL) by different subtypes of stroke by controlling temporal and spatial effects with Bayesian spatio-temporal model, and to study the modifiers of the health effect of heatwave. Methods The daily information of stroke deaths, meteorological data, and air pollutant data in 40 districts and counties of Guangdong Province were collected during the warm seasons (from May to October) in the years from 2014 to 2017. The individual YLL was first calculated by matching age and gender according to the life table, and then the daily YLL rate (person-years/100 000 people) was obtained by summarizing the daily YLL and correcting it with the population of each district or county. Bayesian spatio-temporal model was used to fit a proposed exposure-response relationship between heatwave and the YLL rates of different subtypes of stroke. Finally, stratified analyses were conducted by age (<65 years, ≥65 years), gender (male, female), and region (Pearl River Delta and non-Pearl River Delta regions) to identify the major modifiers for the association between heatwave and stroke mortality. Results During the warm seasons from 2014 to 2017, a total of 23 heatwave events occurred in the 40 districts or counties of Guangdong Province, cumulatively lasting for 145 d. A total of 30 852 stroke deaths were recorded in the same time periods. The average daily YLL rate of total stroke was (2.39±3.63) person-years/100 000 people, and those for hemorrhagic stroke and ischemic stroke were (1.54±2.99) person-years/100 000 people and (0.84±1.85) person-years/100 000 people, respectively. Heatwave was associated with increased YLL rate of stroke in residents, and it had a greater impact on ischemic stroke with a lag effect. The largest cumulative effect of heatwave was at lag 0-1 day, which was associated with an increased YLL rate of total stroke and ischemic stroke by 0.17 (95%CI: 0.03-0.29) person-years/100 000 people and 0.13 (95%CI: 0.06-0.20) person-years/100 000 people, respectively. The results of stratified analyses showed that heatwave had a larger effect on ischemic stroke in residents of aged 65 years or older, male, and non-Pearl River Delta regions, and the rates of YLL increased by 1.11 (95%CI: 0.58-1.55), 0.13 (95%CI: 0.03-0.23), and 0.20 (95%CI: 0.07-0.32) person-years/100 000 people, respectively; Heatwave only had an effect on hemorrhagic stroke in residents aged 65 years or older with an increased YLL rate of 0.79 (95%CI: 0.26-1.31) person-years/100 000 people. Conclusion Heatwave could elevate the level of years of life lost associated with stroke in Guangdong residents, with greater impacts on ischemic stroke of the aged, men, and residents in non-Pearl River Delta regions, and on hemorrhagic stroke in the elderly.
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Background In recent years, the incidence of metabolic syndrome (MS) is increasing significantly in China. Some studies have found that temperature is related to single metabolic index, but there is a lack of research on associated mechanism and identifying path of the influence of temperature on MS. Objective Based on the data of Guangdong Province, to investigate the effect of temperature on MS and its pathway. Methods A total of 8524 residents were enrolled by multi-stage random sampling from October 2015 to January 2016 in Guangdong. Basic characteristics, behavioral characteristics, health status, and physical activity level were obtained through questionnaires and physical examinations, and meteorological data were obtained from meteorological monitoring sites. We matched individual data both with the temperature data of the physical examination day and of a lag of 14 d. A generalized additive model was used to explore the exposure-effect relationship between temperature and MS and its indexes, calculate effect values, and explore the effects of single-day lag temperature. Based on the literature and the results of generalized additive model analysis, a path analysis was conducted to explore the pathways of temperature influencing MS. Results The association between daily average temperature on the current day or lag 14 day and MS risk was not statistically significant. When daily average temperature increased by 1 ℃, the change values of fasting blood-glucose (FBG), systolic blood pressure (SBP), diastolic blood pressure (DBP), and high density lipoprotein cholesterol (HDL-C) were −0.033 (95%CI: −0.040-−0.026) mmol·L−1, −0.662 (95%CI: −0.741-−0.583) mmHg, −0.277 (95%CI: −0.323-−0.230) mmHg, and −0.005 (95%CI: −0.007-−0.004) mmol·L−1 respectively. The effects of average daily temperature on FBG, blood pressure, HDL-C, and waist circumference lasted until lag 14 day. The effects of daily average temperature on SBP and DBP were the largest on the current day. Daily average temperature of current day had direct and indirect effects on FBG and SBP. Temperature had an indirect effect on TG, and the intermediate variables were waist circumference and FBG, with an indirect effect value of −0.011 (95%CI: −0.020-−0.002). The indirect effects of daily average temperature on SBP, FBG, and TG were weak. Conclusion There is no significant correlation between temperature and risk of MS, and daily average temperature of current day could significantly affected blood pressure and FBG with a lag effect. Daily average temperature of current day has indirect effects on FBG and TG.
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Background It is projected that the frequency, density, and duration of compound hot extreme may increase in the 21st century in the context of global warming. Objective To explore the association between compound hot extreme and blood pressure, and identify sensitive populations. Methods This was a cross-sectional study. The study subjects were from six Guangdong Province Chronic Disease and Nutrition Surveys during 2002 through 2015. A questionnaire was administered to the participants with questions about demographic information, drinking and smoking status, and measurements on their height, weight, and blood pressure were also collected. We chose the data of May, September, and October to explore the association between compound hot extreme and blood pressure. Compound hot extreme means a hot day with a proceeding hot night. Daily meteorological data were obtained from China Meteorological Data Service Centre. We employed inverse distance weighting to interpolate the temperature and relative humidity values for each participant. A distributed lag non-linear model was used to estimate the association between compound hot extreme and blood pressure. Stratified analyses by sex, age, area, body mass index (BMI), smoking status, and drinking status were also performed to identify sensitive populations. A sensitivity analysis was conducted by adjusting the degrees of freedom for lag spline and removing relative humidity. Result A total of 10967 participants without history of hypertension were included in this study. The average systolic blood pressure (SBP) was 120.8 mmHg and the average diastolic blood pressure (DBP) was 74.5 mmHg. The proportion of participants who experienced hot day, hot night, or compound hot extreme were 9.34%, 17.95% and 2.90%, respectively. Compared to hot day, hot night and compound hot extreme were related with decreased blood pressure, and the effect of compound hot extreme was stronger: the changes and 95%CI for SBP was −6.2 (−10.3-−2.1) mmHg, and for DBP was −2.7 (−5.2-−0.2) mmHg. Compound hot extreme induced decreased SBP among male, population ≥ 65 years, and those whose BMI < 24 kg·m-2, and their ORs (95%CIs) were −6.2 (−10.7-−1.6). −19.1 (−33.0-−5.1), and −6.7 (−11.8~−1.6) mmHg, respectively, and also decreased DBP among population ≥ 65 years, and its OR (95%CI) was −8.4 (−15.6-−1.1) mmHg. During compound hot extremes, participants living in rural areas showed decreased SBP and DBP, and the ORs (95%CIs) were −10.5 (−16.6-−4.5) and −4.4 (−7.7-−1.1) mmHg respectively, while those living in urban areas showed increased SBP, and the OR (95%CI) was 9.7 (2.9-16.5) mmHg. A significant decrease in blood pressure [OR (95%CI)] was also found in non-smokers [DBP, −3.7 (−6.6-−0.8) mmHg] and non-drinkers [SBP, −4.8 (−9.4-−0.2) mmHg; DBP, −3.4 (−6.0-−0.9) mmHg]. Conclusion Compound hot extreme is negatively associated with SBP, and being male, aged 65 years and over, and having BMI < 24 kg·m−2 may be more sensitive to compound hot extreme.
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Objective@#To evaluate the exported risk of novel coronavirus pneumonia (NCP) from Hubei Province and the imported risk in various provinces across China.@*Methods@#Data of reported NCP cases and Baidu Migration Indexin all provinces of the country as of February 14, 2020 were collected. The correlation analysis between cumulative number of reported cases and the migration index from Hubei was performed, and the imported risks from Hubei to different provinces across China were further evaluated.@*Results@#A total of 49 970 confirmed cases were reported nationwide, of which 37 884 were in Hubei Province. The average daily migration index from Hubei to other provinces was 312.09, Wuhan and other cities in Hubei were 117.95 and 194.16, respectively. The cumulative NCP cases of provinces was positively correlated with the migration index derived from Hubei province, also in Wuhan and other cities in Hubei, with correlation coefficients of 0.84, 0.84, and 0.81. In linear model, population migration from Hubei Province, Wuhan and other cities in Hubei account for 71.2%, 70.1%, and 66.3% of the variation, respectively. The period of high exported risk from Hubei occurred before January 27, of which the risks before January 23 mainly came from Wuhan, and then mainly from other cities in Hubei. Hunan Province, Henan Province and Guangdong Province ranked the top three in terms of cumulative imported risk (the cumulative risk indices were 58.61, 54.75 and 49.62 respectively).@*Conclusion@#The epidemic in each province was mainly caused by the importation of Hubei Province. Taking measures such as restricting the migration of population in Hubei Province and strengthening quarantine measures for immigrants from Hubei Province may greatly reduce the risk of continued spread of the epidemic.
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Objective To assess the imported risk of COVID-19 in Guangdong province and its cities, and conduct early warning. Methods Data of reported COVID-19 cases and Baidu Migration Index of 21 cities in Guangdong province and other provinces of China as of February 25, 2020 were collected. The imported risk index of each city in Guangdong province were calculated, and then correlation analysis was performed between reported cases and the imported risk index to identify lag time. Finally, we classified the early warming levels of epidemic by imported risk index. Results A total of 1 347 confirmed cases were reported in Guangdong province, and 90.0% of the cases were clustered in the Pearl River Delta region. The average daily imported risk index of Guangdong was 44.03. Among the imported risk sources of each city, the highest risk of almost all cities came from Hubei province, except for Zhanjiang from Hainan province. In addition, the neighboring provinces of Guangdong province also had a greater impact. The correlation between the imported risk index with a lag of 4 days and the daily reported cases was the strongest (correlation coefficient: 0.73). The early warning base on cumulative 4-day risk of each city showed that Dongguan, Shenzhen, Zhongshan, Guangzhou, Foshan and Huizhou have high imported risks in the next 4 days, with imported risk indexes of 38.85, 21.59, 11.67, 11.25, 6.19 and 5.92, and the highest risk still comes from Hubei province. Conclusions Cities with a large number of migrants in Guangdong province have a higher risk of import. Hubei province and neighboring provinces in Guangdong province are the main source of the imported risk. Each city must strengthen the health management of migrants in high-risk provinces and reduce the imported risk of Guangdong province.
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Objective To compare the epidemiological characteristics of COVID-19 in Guangzhou and Wenzhou, and evaluate the effectiveness of their prevention and control measures. Methods Data of COVID-19 cases reported in Guangzhou and Wenzhou as of 29 February, 2020 were collected. The incidence curves of COVID-19 in two cities were constructed. The real time reproduction number ( R t ) of COVID-19 in two cities was calculated respectively. Results A total of 346 and 465 confirmed COVID-19 cases were analysed in Guangzhou and Wenzhou, respectively. In two cities, most cases were aged 30-59 years (Guangzhou: 54.9%; Wenzhou: 70.3%). The incidence curve peaked on 27 January, 2020 in Guangzhou and on 26 January, 2020 in Wenzhou, then began to decline in both cities. The peaks of imported COVID-19 cases from Hubei occurred earlier than the peak of COVID-19 incidences in two cities, and the peak of imported cases from Hubei occurred earlier in Wenzhou than in Guangzhou. In early epidemic phase, imported cases were predominant in both cities, then the number of local cases increased and gradually took the dominance in Wenzhou. In Guangzhou, the imported cases was still predominant. Despite the different epidemic pattern, the R t and the number of COVID-19 cases declined after strict prevention and control measures were taken in Guangzhou and in Wenzhou. Conclusion The time and scale specific differences of imported COVID-19 resulted in different epidemic patterns in two cities, but the spread of the disease were effectively controlled after taking strict prevention and control measures.
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Objective@#To identify the definition of heat wave based on mortality risk assessment in different regions of China.@*Methods@#Daily mortality (from China Information System for Disease Control and Prevention) and meteorological data (from National Meteorological Information Center in China) from 66 counties with a population of over 200 000 were collected from 2006-2011. With the consideration of climate type and administrative division, China was classified as seven regions. Firstly, distributed lag non-linear model (DLNM) was used to estimate community-specific effects of temperature on non-accidental mortality. Secondly, a multivariate meta-analysis was applied to pool the estimates of community-specific effects to explore the region-specific temperature threshold and the duration for definition of heat wave.@*Results@#We defined regional heat wave of Northeast, North, Northwest, East, Central and Southwest China as being two or more consecutive days with daily mean temperature higher than or equal to the P64, P71, P85, P67, P75 and P77 of warm season (May to October) temperature, respectively, while the thresholds of temperature were 21.6, 23.7, 24.3, 25.7, 28.0 and 25.3 ℃. The heat wave in South China was defined as five or more consecutive days with daily mean temperature higher than or equal to the P93 (30.4 ℃) of warm season (May to October) temperature.@*Conclusion@#The region-specific definition of heat wave developed in our study may provide local government with the guidance of establishment and implementation of early heat-health response systems to address the negative health outcomes due to heat wave.
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Objective To estimate the effect of daily diurnal temperature range (DTR) on mortality in different areas in China.Methods A time series study using the data collected from 66 areas in China was conducted,and Meta-analysis was used to analyze the estimates of associations between DTR and daily mortality.Modifying effects of extremely low and high DTR-mortality relationship by season and socioeconomic status (SES) were also evaluated respectively.Cumulative excess risk (CER) was used as an index to evaluate the effects.Results The information about 1 260 913 registered deaths were collected between 1 January 2006 and 31 December 2011,we found the relationship between extreme DTR and mortality was non-linear in all regions and the exposure-response curve was J-shaped.In central and south areas of China,the result indicated the obvious acute effect of extremely high DTR,and the mortality effect in central area (CER=5.1％,95％CI:2.4％-7.9％) was significant higher than that in south area (CER=4.5％,95％CI:1.7％-7.3％).Regarding to the modification of seasons,the cumulative mortality effect of DTR in cold season (CER=5.8％,95％CI:2.5％-9.2％) was higher than that in hot season (CER=3.1％,95％CI:1.1％-5.1％).Generally,deaths among the elderly (≥75 years) were associated more strongly with extremely high DTR.Conclusions The mortality effects of extremely DTR in different areas and seasons showed different characteristics,that in central area and in cold season it was significantly stronger.After modified by season and SES,DTRs were the greatest threat to vulnerable population,especially to the elderly (≥75 years).Therefore,more attention should be paid to vulnerable groups and protection measures should be taken according to the local and seasonal conditions.
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Objective To estimate the effect of daily diurnal temperature range (DTR) on mortality in different areas in China.Methods A time series study using the data collected from 66 areas in China was conducted,and Meta-analysis was used to analyze the estimates of associations between DTR and daily mortality.Modifying effects of extremely low and high DTR-mortality relationship by season and socioeconomic status (SES) were also evaluated respectively.Cumulative excess risk (CER) was used as an index to evaluate the effects.Results The information about 1 260 913 registered deaths were collected between 1 January 2006 and 31 December 2011,we found the relationship between extreme DTR and mortality was non-linear in all regions and the exposure-response curve was J-shaped.In central and south areas of China,the result indicated the obvious acute effect of extremely high DTR,and the mortality effect in central area (CER=5.1％,95％CI:2.4％-7.9％) was significant higher than that in south area (CER=4.5％,95％CI:1.7％-7.3％).Regarding to the modification of seasons,the cumulative mortality effect of DTR in cold season (CER=5.8％,95％CI:2.5％-9.2％) was higher than that in hot season (CER=3.1％,95％CI:1.1％-5.1％).Generally,deaths among the elderly (≥75 years) were associated more strongly with extremely high DTR.Conclusions The mortality effects of extremely DTR in different areas and seasons showed different characteristics,that in central area and in cold season it was significantly stronger.After modified by season and SES,DTRs were the greatest threat to vulnerable population,especially to the elderly (≥75 years).Therefore,more attention should be paid to vulnerable groups and protection measures should be taken according to the local and seasonal conditions.
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Objective To evaluate the impacts of air temperature on years of life lost(YLL) among the residents in Guangzhou and Zhuhai,Guangdong province. Methods Daily mortality and meteorology data in Guangzhou and Zhuhai were collected,and distributed lag non-linear model (DLNM)was used to evaluate the cumulative and delayed effects of daily air temperature on YLL of total non-accident mortality. The accumulative effect of air temperature on mortality under the extreme high temperature(0-1 days)and extreme low temperature(0-13 days)situation in Guangzhou and Zhuhai were analyzed respectively. Results The average YLL was 1 928.0 in Guangzhou and 202.5 in Zhuhai. The exposure-response functions seemed to be non-linear. The hot effect seemed to be acute and reached the peak at the same day,while the cold effect reached the peak at 5th days and lasted for about two weeks. Low temperature had stronger gross effect than high temperature had. The cold effect among males was greater than that among females in Guangzhou. The hot/cold effect on YLL was greater in people aged ≥65 years than in people aged <65 years and in people suffering from respiratory disease than in people suffering from cardiovascular disease in both Guangzhou and Zhuhai. Conclusion The effects of high and low temperatures on YLL were obvious,and the impact of low temperature was greater. The elderly and people suffering from respiratory disease or cardiovascular disease are the vulnerable populations.
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Objective To evaluate the impacts of air temperature on years of life lost(YLL) among the residents in Guangzhou and Zhuhai,Guangdong province. Methods Daily mortality and meteorology data in Guangzhou and Zhuhai were collected,and distributed lag non-linear model (DLNM)was used to evaluate the cumulative and delayed effects of daily air temperature on YLL of total non-accident mortality. The accumulative effect of air temperature on mortality under the extreme high temperature(0-1 days)and extreme low temperature(0-13 days)situation in Guangzhou and Zhuhai were analyzed respectively. Results The average YLL was 1 928.0 in Guangzhou and 202.5 in Zhuhai. The exposure-response functions seemed to be non-linear. The hot effect seemed to be acute and reached the peak at the same day,while the cold effect reached the peak at 5th days and lasted for about two weeks. Low temperature had stronger gross effect than high temperature had. The cold effect among males was greater than that among females in Guangzhou. The hot/cold effect on YLL was greater in people aged ≥65 years than in people aged <65 years and in people suffering from respiratory disease than in people suffering from cardiovascular disease in both Guangzhou and Zhuhai. Conclusion The effects of high and low temperatures on YLL were obvious,and the impact of low temperature was greater. The elderly and people suffering from respiratory disease or cardiovascular disease are the vulnerable populations.
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<p><b>OBJECTIVE</b>To evaluate the impacts of air temperature on years of life lost (YLL) among the residents in Guangzhou and Zhuhai, Guangdong province.</p><p><b>METHODS</b>Daily mortality and meteorology data in Guangzhou and Zhuhai were collected, and distributed lag non-linear model (DLNM) was used to evaluate the cumulative and delayed effects of daily air temperature on YLL of total non-accident mortality. The accumulative effect of air temperature on mortality under the extreme high temperature (0-1 days) and extreme low temperature (0-13 days) situation in Guangzhou and Zhuhai were analyzed respectively.</p><p><b>RESULTS</b>The average YLL was 1 928.0 in Guangzhou and 202.5 in Zhuhai. The exposure-response functions seemed to be non-linear. The hot effect seemed to be acute and reached the peak at the same day, while the cold effect reached the peak at 5(th) days and lasted for about two weeks. Low temperature had stronger gross effect than high temperature had. The cold effect among males was greater than that among females in Guangzhou. The hot/cold effect on YLL was greater in people aged ≥ 65 years than in people aged < 65 years and in people suffering from respiratory disease than in people suffering from cardiovascular disease in both Guangzhou and Zhuhai.</p><p><b>CONCLUSION</b>The effects of high and low temperatures on YLL were obvious, and the impact of low temperature was greater. The elderly and people suffering from respiratory disease or cardiovascular disease are the vulnerable populations.</p>
Subject(s)
Aged , Female , Humans , Male , Middle Aged , Air , Cardiovascular Diseases , Epidemiology , China , Epidemiology , Extreme Cold , Extreme Heat , Mortality, Premature , Nonlinear Dynamics , Respiratory Tract Diseases , Epidemiology , Time FactorsABSTRACT
Simultaneous concurrence of subacute thyroiditis and Graves' disease is rare.We present one case of subacute thyroiditis with Graves' disease and combine with other reports to explore the clinical characteristics and therapeutic considerations.If subacute thyroiditis is considered coexisting simultaneously with Graves' disease,radioactive iodine uptake,thyroid autoantibody,fine-needle aspiration of thyroid gland,thyroid nuclide imaging examination,etc,should be done to make correct diagnosis and to adjust the therapeutic plan.
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<p><b>OBJECTIVE</b>To understand the situation of biomass fuel use in rural Guangdong, and how it affecting the prevalence of hypertension in adult women.</p><p><b>METHODS</b>Inhabitants aged 18 and above were chosen, using multi-stage stratified cluster sampling method from 13 rural countries in Guangdong province in 2010. Questionnaire survey and blood pressure measurement were conducted. Multilevel logistic regression model was used to study the relationship between biomass fuel use and the prevalence of hypertension at both country and individual levels.</p><p><b>RESULTS</b>Of the 5794 rural families, 2 569 (44.3%) cooked with biomass fuel in the kitchen. 1233 (46.2%) and 1 436 (53.8%) out of the 2669 adult women used biomass fuel and clean energy, respectively. Results from χ² study showed that biomass users presented higher prevalence of hypertension (RR = 1.26, 95% CI: 1.04-1.52), but in multilevel model analysis, the difference was not significant. In addition, using an extractor fan when cooking seemed to have protected factor in decreasing the risk of hypertension among biomass users (RR = 0.61, 95% CI: 0.39-0.98).</p><p><b>CONCLUSION</b>Proportion of the use of biomass fuel was still high among rural families in Guangdong province. Although there was not enough evidence to verify the relationship between the use of biomass fuel and hypertension in adult women. However, concerns about the use of biomass fuel which causing the indoor air pollution, should be raised.</p>
Subject(s)
Adolescent , Adult , Aged , Female , Humans , Middle Aged , Young Adult , Air Pollution, Indoor , Biofuels , China , Epidemiology , Hypertension , Epidemiology , Logistic Models , Multilevel Analysis , Prevalence , Risk Factors , Rural Population , Surveys and QuestionnairesABSTRACT
<p><b>OBJECTIVE</b>To explore the relationship between temperature and non-accidental mortality in Guangzhou, Changsha and Kunming;to evaluate the temperature-related risk of mortality; and thereby to provide scientific evidence for enacting the policy to tackle climate changes.</p><p><b>METHOD</b>Daily meteorology data and mortality data were collected in 2006-2009 in Guangzhou, Changsha and Kunming. Distributed lag non-linear model (DLNM) was established and applied in a case-crossover design, which controlled the secular trend of time, to estimate the specified effects of temperature on non-accidental mortality at conditions of lag 0-2, lag 0-18 and lag 0-27 days, respectively.</p><p><b>RESULT</b>An obvious seasonal periodicity was found in non-accidental mortality in Guangzhou, Changsha and Kunming during 2006-2009. The mortality number was comparatively high in the winters, and some high temperature days in summer; but was comparatively low in springs and autumn. An L-shaped relationship was found between temperature and mortality in Guangzhou and Kunming and a U-shaped relationship was found in Changsha. When daily mean temperature exceeded 28.2 °C, 24.5°C and 23.2°C, as average temperature increase 1°C, non-accidental mortality increased 4.56% (95%CI:2.74%-6.63%), 5.66% (95%CI:0.22%-12.65%) , -3.94% (95%CI:-32.77%-39.01%) , respectively; when daily mean temperature below 24.8°C, 20.0°C and 17.3°C, as average temperature decrease 1°C, the corresponding increase in non-accidental mortality were 3.28% (95%CI:2.41%-4.10%) (lag 0-18 days), 1.35% (95%CI:0.31%-1.77%) (lag 0-2 days) and 2.42% (95%CI:1.08%-3.27%) (lag 0-27 days) , respectively. The effects of hot weather were acute and short term; while the effects of cold weather had a several days delay, but a longer persistence.</p><p><b>CONCLUSIONS</b>Extreme cold and hot temperature could increase the risk of non-accidental mortality in Guangzhou, Changsha and Kunming. The effects of cold weather had a several days delay, but a longer persistence.</p>
Subject(s)
Humans , China , Epidemiology , Climate Change , Cross-Over Studies , Mortality , Seasons , TemperatureABSTRACT
<p><b>OBJECTIVE</b>To explore the impact of the socio-economic factors on the temperature-mortality association in different cities in southern China.</p><p><b>METHODS</b>Daily mortality registration data, meteorological data and air pollution data of the cities as Changsha and Kunming during 2006-2009, and cities as Guangzhou and Zhuhai during 2006-2010, were collected to explore modifying effects, stratified by age, gender, education and place of death, of socio-economic factors on the association between temperature and mortality, by distributed lag non-linear model. The accumulative effect of temperature-mortality were separately analyzed in each city, under the high temperature (0-3 days) and low temperature (0-20 days) situation. The association between temperature and mortality was evaluated by general linear threshold model. The above process was firstly adopted to analyze the impact in single city and then Meta analysis was applied to analyze the impact in several cities by effect-combine.</p><p><b>RESULTS</b>The relationship between temperature and mortality in the four cities showed nonlinearity. The minimum mortality risk was separately 23.5 °C, 20.5 °C, 25.0 °C and 26.0 °C in Changsha, Kunming, Guangzhou and Zhuhai. The results of effect-combine showed that low-temperature (RR = 1.67, 95%CI:1.54-1.80) has a higher gross effect than high-temperature (RR = 1.11, 95%CI:1.01-1.18) on population. With the age increasing, risk of death increased both under high and low temperature situation, and the effect of low temperature was greater (RR = 1.83, 95%CI:1.65-2.04) for the elderly than it of high temperature (RR = 1.17, 95%CI:1.03-1.33). The mortality risk among females (cold and hot effects(95%CI) were 1.75(1.57-1.97) and 1.11(0.99-1.25), respectively)was higher than it among males (cold and hot effects(95%CI) were 1.59(1.45-1.77) and 1.11(1.03-1.19), respectively). Whereas the mortality risk on higher education population was significantly higher (cold and hot effects (95%CI) were 1.89(1.48-2.45)and 1.34(1.19-1.48), respectively) than it on other educated people.</p><p><b>CONCLUSION</b>Age, gender, educational level and place of death showed modifying effects on the association between temperature and mortality. The elderly, women and highly educated people were vulnerable to the temperature influence on mortality.</p>
Subject(s)
Aged , Female , Humans , Male , Air Pollution , China , Cold Temperature , Hot Temperature , Mortality , Nonlinear Dynamics , Risk , Socioeconomic FactorsABSTRACT
Objective To understand the ethics conflict situations between the pre-hospital patients and ambulance staff's determinations. Methods Taking a survey among the pre-hospital emergency physicians(80 people)and nurses(248 people)by Questionnaire of ethics conflicts during pre-hospital emergeney service,to investigate the ethics conflict situations between the pre-hospital patients and ambulance staff's determinations. Resulls (8.046±6.990)%of the patients who needed treatments refused to be treated completely,and(14.544±10.558)%of them refused partially.(14.451±14.747)% of the patients who needed ambulance transport refused to be delivered.In the patients who refused treatments and transportation.payment problem accounted for(23.52±19.79)%,(22.22±20.84)%of them did not believe they needed.(5.77±4.47)%of them wished to die,(19.44.4±18.65)%of them were hard to be idenfified.Other reasons accounted for(30.08±25.78)%.(20.31.4±16.66)% of the patients refused the ambulance crews' judge for some state.(29.66.4±24.02)%of the patients who got the pre-hospital emergency service were not necessary to call an ambulance.(22.1 l±19.52)%of the patients' demand conflicted with pre-hospital emergency services network management system.Conclusions There exists some conflicts between the pre-hospital patients and ambulance crews' determinations.
ABSTRACT
Objective To investigate the independent factors influencing the efficacy of pre-hospital CPR effect. Method The data base with 1376 cases was set up with EpiData software by means of questionnaires and the information was provided by the survivals from cardiopulmonary arrest( CA)saved with cardiopulmonary resuscitation(CPR), and the data were analyzed with SPSS 13.0 software to carry out binary logistic regression. Through single factor analysis, the factors with emerged statistical significance were chosen as variances. Results With regard to the restoration of spontaneous circulation(ROSC), the rescue did by the first witness was the protective factor(PF)( OR = 2.21, P = 0.001, 95.0% CI=1.356-3.602); the male was the risk factor(RF) contrasted with the female( OR = 0. 515, P =0. 006, 95.0%0 CI = 0.320 - 0. 26) ; ages between 20 and 29 years old had higher likelihood of ROSC than group ≥81 years old( OR = 3.241, P = 0.026, 95.0%CI = 1.146 -9.138); the length of CA time before CPR was RF(OR = 0.913, P = 0.000, 95.0%CI = 0.887-0.948);ventricular fibrillation(VF) was PF compared with asystole( OR = 5.092, P = 0.000, 95.0%CI=2.927 -8.861); electric shock was PF(OR = 3.384, P = 0.000, 95.0%CI = 2.033 - 5.635); epinephrine dosage 0 - 4 mg had higher likelihood of ROSC than > 5 nag dosage( OR = 3. 255, P = 0. 001, 95.0% CI = 1. 606 -6.597). In respect of probability about victims at the tittle reached hospital alive, ages of 2- 12 and 13 - 19 years old had higher rations than ≥81 years old( OR = 12.818, P = 0.029, 95.0% CI = 1.299 - 126.508)( OR = 10.505, P = 0.036, 95.0% CI = 1.161-95.058); the length of CA time before CPR was RF(OR =0.862, P = 0.000, 95.0%CI = 0.821-0.906); VF was PF compared with asystole(OR = 7.330, P =0.000, 95.0%CI = 3.962 - 13.560). Conclusions ECG change before CPR, rescue by the first witness,electric shock, the length of CA time before CPR, epinephrine dosage, gender and age were independent influencing factors of pre-hospital CPR for the emergency of ROSC. Age, the length of CA time before CPR and ECG before CPR were influencing factors of pre-hospital CPR for patients at the time transferred to hospital alive.