ABSTRACT
Objective To estimate the health-adjusted life expectancy (HALE) of adults in Zhejiang province and evaluate the health status of the adults.Methods This study was based on the mortality data collected from Zhejiang Chronic Disease Surveillance Information and Management System,and mortality rates from the underreporting survey and self-reported health data in 2016.Hierarchical Ordered Probit (HOPIT) model was used to estimate the severity-weighted prevalence of disability.Sullivan's method was used to calculate the HALE.Results After adjustment by HOPIT model,the severity-weighted prevalence of disability increased significantly with age (x2=5 795.81,P＜0.001),and it was higher in females than in males (x2=5 353.27,P＜0.001).The life expectancy and self-evaluated HALE were 59.08 years and 48.68 years,respectively,in those aged ≥20 years,the difference was 10.40 years due to disability.The proportion of HALE loss due to disability in the total life expectancy was 17.61％,and it increased with age.HALE was higher in males than in females (49.21 years vs.48.14 years),and in urban residents than in rural residents (49.92 years vs.47.43 years).Conclusion The proportion of loss of HALE in the total life expectancy in adults was high in Zhejiang,and it higher in males than in females,in urban residents than rural residents.Programs on improving health care in women and rural residents should be promoted.
ABSTRACT
Objective To estimate the health-adjusted life expectancy (HALE) of adults in Zhejiang province and evaluate the health status of the adults.Methods This study was based on the mortality data collected from Zhejiang Chronic Disease Surveillance Information and Management System,and mortality rates from the underreporting survey and self-reported health data in 2016.Hierarchical Ordered Probit (HOPIT) model was used to estimate the severity-weighted prevalence of disability.Sullivan's method was used to calculate the HALE.Results After adjustment by HOPIT model,the severity-weighted prevalence of disability increased significantly with age (x2=5 795.81,P＜0.001),and it was higher in females than in males (x2=5 353.27,P＜0.001).The life expectancy and self-evaluated HALE were 59.08 years and 48.68 years,respectively,in those aged ≥20 years,the difference was 10.40 years due to disability.The proportion of HALE loss due to disability in the total life expectancy was 17.61％,and it increased with age.HALE was higher in males than in females (49.21 years vs.48.14 years),and in urban residents than in rural residents (49.92 years vs.47.43 years).Conclusion The proportion of loss of HALE in the total life expectancy in adults was high in Zhejiang,and it higher in males than in females,in urban residents than rural residents.Programs on improving health care in women and rural residents should be promoted.
ABSTRACT
Objective: To use vertical and humidity correcting method to calibrate aerosol optical depth (AOD), and to explore the feasibility of calibrated-AOD as exposure index to measure the level of air pollutants from the ground and to establish the exposure-response relationship between calibrated-AOD and people's health outcomes.Methods: First of all, we interpolated AOD, PM2.5, relative humidity and planetary boundary layer height using Kriging method to obtain data at different locations and matched different data with respiratory death in Beijing by geographical coordinates.Then, the planetary boundary layer height and aerosol hygroscopic growth factor calculated based on relative humidity was used to calbrate the AOD.To compare the effects of calibrated-AOD and PM2.5, we used standardization method to get non dimensionless calibrated-AOD and PM2.5.At last, we used the generalized additive mixed model (GAMM) to estimate the acute effects of calibrated-AOD and PM2.5 on respiratory death and chronic obstructive pulmonary disease (COPD) death, after controlling the time trend, temperature and humidity effects, days of the week effect and holiday effects.Results: The correlation coefficient between calibrated-AOD and PM2.5 was 0.72.The effects of calibrated-AOD on respiratory death and COPD death was the strongest at lag 0-3, one unit of calibrated-AOD increases was associated with 3.64% (95%CI: 0.58%-6.78%) increase of respiratory death and 4.92% (95%CI: 1.81%-8.14%) increase of COPD death.As for PM2.5, the strongest effects appeared at lag 0-1, one unit of PM2.5 (about 155 μg/m3) increases was associated with excess risks of 3.96% (95%CI: 0.82%-7.19%) and 6.12% (95%CI: 1.44%-11.02%) for respiratory death and COPD death respectively.Compared with PM2.5, the effects of calibrated-AOD on respiratory death and COPD death had narrower confidence intervals.The calibrated-AOD was sensitive to capture the lag effects, and the cumulative lag effects of calibrated-AOD were all significant on multiple lag days which indicated that the calibrated-AOD was sensitive to capture cumulative lag effects of air pollutants on respiratory death and COPD death as well.Conclusion: We believe that calibrated-AOD can be used as an index to reflect the effects of air pollutants on respiratory death in Beijing.In the absence of ground monitoring, calibrated-AOD can be used to mea-sure the relationship between air pollutants and some health outcomes.
ABSTRACT
Objective To investigate the association between concentrations of environmental air pollutants and the daily number of outpatient visits for urticaria in Beijing. Methods Time series analysis in combination with distributed lag non?linear model(DLNM)and Spearman′s rank correlation test was used to analyze the association between PM2.5 concentrations and the daily number of outpatient visits for urticaria. All effect estimates were expressed as a risk ratio(RR)for the daily number of outpatient visits with an interquartile range(IQR)increase of 82.8 μg/m3 in PM2.5. Results From January 1st 2013 to June 30th 2014, the daily average PM2.5 concentration, temperature, relative humidity and number of visits for urticaria were 89.3 μg/m3, 12.7 ℃, 51.9% and 27.3 respectively. Spearman′s rank correlation test showed that the daily average PM2.5 concentration and number of visits for urticaria were correlated with daily mean temperature(rs =-0.21, 0.36, respectively, P 0.05). There was no significant correlation between daily number of outpatient visits for urticaria and daily PM2.5 concentration lagged by 0-14 days(RR=1, 95%CI:0.89, 1.13). After potential confounding factors were adjusted, an 82.8μg/m3 increase in daily PM2.5 concentration at lag 0-20 days was significantly associated with a 22%(95%CI:3%, 46%)increase in daily number of outpatient visits for urticaria, suggesting that the lagged effect of PM2.5 was obviously increased. Conclusion The association between PM2.5 concentrations and the number of visits for urticaria is easily affected by meteorological factors and biological confounding factors, and relative humidity and mean temperature are both positively correlated with the number of visits for urticaria.
ABSTRACT
Objective To evaluate the impact of diabetes prevalence and mortality on health life expectancy (HLE).Methods A cause-excluded health adjusted life expectancy method was used to quantitatively analyze the impact of diabetes on HLE and the composition of health life losses (HLL),using the integrated data on population mortality,self-assessed health status and diabetes prevalence.Results The HLE for people aged 15 was 55.80 in Zhejiang,in 2013.After removing the diabetes morbidity and mortality,the HLE for men aged 15 increased by 0.86 and 1.13,respectively,with an increase of 1.04 and 0.66 for urban and rural residents.Substantial increase of HLE was observed in women and urban residents than those for men and rural residents.HLL caused by diabetes mortality and morbidity appeared as 0.10 and 0.79,with a ratio of 7.92.Conclusion HLL caused by diabetes mortality was much greater than those caused by diabetes mortality,suggesting the most effective measure in reducing the diabetes-related HLL is to promote the healthy lifestyle in urban areas and especially for women.
ABSTRACT
Objective To evaluate the impact of diabetes prevalence and mortality on health life expectancy (HLE).Methods A cause-excluded health adjusted life expectancy method was used to quantitatively analyze the impact of diabetes on HLE and the composition of health life losses (HLL),using the integrated data on population mortality,self-assessed health status and diabetes prevalence.Results The HLE for people aged 15 was 55.80 in Zhejiang,in 2013.After removing the diabetes morbidity and mortality,the HLE for men aged 15 increased by 0.86 and 1.13,respectively,with an increase of 1.04 and 0.66 for urban and rural residents.Substantial increase of HLE was observed in women and urban residents than those for men and rural residents.HLL caused by diabetes mortality and morbidity appeared as 0.10 and 0.79,with a ratio of 7.92.Conclusion HLL caused by diabetes mortality was much greater than those caused by diabetes mortality,suggesting the most effective measure in reducing the diabetes-related HLL is to promote the healthy lifestyle in urban areas and especially for women.
ABSTRACT
<p><b>OBJECTIVE</b>To explore the concentration-response relationship between ambient concentration of PM2.5 and daily total hospital emergency room visits in Beijing during 2012 and 2013. This study also examined the effects of ambient PM2.5 during heavy polluted days on emergency room visits compared with the light polluted days.</p><p><b>METHODS</b>We collected the daily meteorological factors monitoring data and concentrations of air pollutants in Beijing during October 1, 2012 to December 31, 2013. We also collected the daily emergency room visits from a tertiary hospital in Beijing in the same time period. Generalized additive model was fitted to estimate the association between the ambient PM2.5 and the hospital emergency room visits, by using the smooth function to adjust long term trend of time, public holidays and day of week. In addition, constrained piecewise linear function was then used to estimate the excess risk for different segment of concentration-response function.</p><p><b>RESULTS</b>The annual average concentration of PM2.5 was 90.9 µg/m(3) during October 1, 2012 and December 31, 2013. There were total 64 260 cases for total emergency room visits, of which respiratory disease had 9 849 cases and cardiovascular disease had 11 168 cases. PM2.5 was positive related with PM10, NO2 and SO2. The corresponding correlation coefficients were 0.87, 0.78 and 0.62, respectively (P<0.05). And PM2.5 was positively related with relative humidity, with correlation coefficient 0.45 (P<0.05). But PM2.5 was negatively related with mean temperature (r=-0.17, P< 0.05) and wind speed (- 0.32, P<0.05). In the single polluted model, after adjusting the effects of temperature, relative humidity and wind, every 10 µg/m(3) increase of concentration of ambient PM2.5, the corresponding excess risk of daily emergency room visits was 0.25% (95% CI: 0.07-0.43). In the two-pollutant model PM2.5+SO2 and PM2.5+NO2, every 10 µg/m(3) increase of concentration of ambient PM2.5, the corresponding excess risk of daily emergency room visits were 1.07% (95%CI:0.83-1.30) and 0.56% (95%CI: 0.32-0.80) respectively, which were higher than the effect in single pollutant model. Average concentration of ambient particulate matters (PM2.5) was 204.16 µg/m(3) during heavy pollution, higher than control period (85.24 µg/m(3)). When PM2.5 as the primary air pollutants during heavy polluted days, we observed a significant increase in emergency room visits, and the odd ratios was 1.16 (95% CI:1.09-1.22).</p><p><b>CONCLUSION</b>There were positive correlation between high concentration of ambient particulate matters (PM2.5) and increasing daily emergency room visits. Especially during the heavy polluted days, the effects of elevated concentration of PM2.5 on hospital emergency room visits were much larger.</p>
Subject(s)
Humans , Air Pollutants , Beijing , Cardiovascular Diseases , Diagnosis , Emergency Service, Hospital , Meteorological Concepts , Particulate Matter , Respiratory Tract Diseases , Diagnosis , Temperature , Tertiary Care CentersABSTRACT
Objective To explore the relationship between content of fine particulate matter (PM2.5) in atmospheric and the number of emergency room (ER) visits with acute coronary syndrome (ACS).Methods Daily data of ER visits to Peking University Third Hospital for ACS was collected from December 1st,2013 to November 30th,2014.All patients were resident population of Haidian District,Beijing.The daily meteorological data and contents of air pollutants in Beijing were also collected in the same time period.Generalized Additive Model (GAM) was fitted to estimate the association between the ambient PM2.5 and the ER visits for ACS,under controlling for time trends,holiday effect,day of week effect and weather conditions.Results The annual average amount of PM2.5 was 85.44 μg/m3 over the study period.There were 619 cases with ACS as ER visits.PM2.5 was positive related with PM10,NO2 and SO2.The corresponding correlation coefficients were 0.87,0.48 and 0.67,respectively (P ＜ 0.05).But PM2.5 was negative related with mean temperature (r =-0.04,P ＜ 0.05).In the polluted model,there was positive association between PM2.5 and ER visits with ACS.When each increament in PM2.2 with 10 μg/m3,the relative risk strength of ER visits with ACS was 1.019 (95％ CI:1.000-1.038).PM2.5 concentrations had a delayed effect on the onset of ACS occurred on the next day.This lagged 1 day phenomenon showed the most significant influence of PM2.5 on ER visits for ACS.Conclusions The ambient concentrations of PM2.5 are positively associated with ER visits for ACS.And there is a lag effect.
ABSTRACT
Objective To investigate the association between air pollution and the daily number of outpatient visits for dermatitis in Beijing city, and to evaluate the sensitivity to air pollution in populations of different gender and age. Methods Time-series data on daily outpatient visits for dermatitis between April 2012 and April 2014 were collected from Air Force General Hospital of PLA. The daily average concentrations of sulfur dioxide (SO2), nitrogen dioxide(NO2), and particulate matters(PM2.5, PM10)were obtained from Beijing Municipal Environmental Monitoring Center, and routine meteorological data (including daily mean temperature, relative humidity and wind speed)were collected from the China Meteorological Data Sharing Service System. A generalized additive model was used to analyze the association between daily average concentrations of air pollutants and the number of daily outpatient visits for dermatitis. Results In single-pollutant models, an increase of 10 μg/m3 in daily concentrations of PM2.5, PM10, SO2, and NO2 was associated with the number of outpatient visits for dermatitis with the relative risk being 1.003 1 (95% CI, 1.001 6 - 1.004 5), 1.0025 (95% CI, 1.001 4 - 1.003 7), 1.0057 (95% CI, 1.001 5 - 1.009 9)and 1.009 7 (95% CI, 1.005 6 - 1.013 8)respectively. Similarly, multipollutant models showed that air pollutant concentrations were significantly associated with the daily number of outpatient visits for dermatitis. Distributed lag models showed that the effects of PM2.5, PM10 and NO2 on daily outpatient visits for dermatitis were mainly observed on the day of exposure, while the effect of SO2 increased along with the increment of lag days. Stratification analysis showed that people aged less than 60 years and females were relatively more sensitive to particulate matters (PM2.5, PM10), while NO2 affected all groups of people at the same degree, and SO2 mainly affected people aged 35 - 60 years. Conclusion Air pollutants PM2.5, PM10, SO2 and NO2 may all increase the risk of dermatitis in Beijing area.
ABSTRACT
AIM:To establish an HPLC method for determining cinnamaldehyde,costunolide and dehydrocostuslactone in the supercritical carbon dioxide extraction of Cinnamomum cassia and Aucklandia lapp.METHODS:The assay was performed on an Agilent HC-C_(18)(150 mm×4.6 mm,5 μm)column by UV detector at the wavelength of 210 nm with acetonitrile-water(gradient elutio)as the mobile phase at the flow rate of 1.0 mL/min,and the column temperature was 30℃.RESULTS:There were good relationships between peak area and sample size of cinnamaldehyde in the range of 148.5-1 732.5 ng,between peak area and sample size of costunolide in the range of 69.42-809.9 ng,and between peak area and sample size of dehydrocostuslactone in the range of 70.32 to 820.4 ng.Average recoveries of them were in turn 99.65%(RSD 0.72%)-99.57%(RSD 1.28%),and 98.90%(RSD 0.81%),respectively.CONCLUSION:The present method is convenient,sensitive and accurate with good reproducibility and can be used for the quality control of the supercritical CO_2 extract of Cinnamomum cassia and Aucklandia lapp.
ABSTRACT
Embryo technology, including super-ovulation, embryo transfer and embryo nucleus transfer, was a well-developed technology in 20th century. It has been widely used in animal science and veterinary and boomed livestock industry in China. Chinese livestock producer could gain high grade breeds in short time through embryo technology by the reason that embryo technology could make outstanding gene spread out in herd. With the help of embryo technology, rare animals could have a chance to extend their progeny in fast changing world. In this article, we briefly introduced the process of embryo transfer and application of embryo technology in China.