A Study On The Effect Of Temperature Change On The Incidence Of Acute Myocardial Infarction And Hospitalization Risk For Acute Exacerbation Of Chronic Obstructive Pulmonary Disease Among Residents In Beijing

ObjectiveThis study aims to quantify short-term associations between TV and hospitalization for AMI in Beijing during 2013-2016,to determine the corressponding susceptible people,and to identify the potential effect modification by air pollutants.MethodsData on hospitalization for AMI and weather conditions were collected from Beijing,TV was calculated from the standard deviation(SD)of daily maximum and minimum temperatures over the exposure days An overdispersed Poisson model controlling for the calendar time,day of week,public holiday,daily mean temperature and relative humidity was applied to examine the association between TV and AMI hospitalizations.Stratified analyses were conducted by sex,and age groups(0-64,?65 years).Meanwhile,the concentration of each air pollutart was departed into three stratums.Effect modifications by air pollutants were assessed by comparirg the estimates of TV's effect between pollutant strata and calculating the corresponding 95%confidential interval(Cl)of the differences.ResultsThere were 81,029 AM-related hospitalizations during the study period.Exposure to TV is associated with increased risk of AMI hospitalizations,particularly in males and in older age groups.The strongest estimate was observed at TV03,with the estimate of 1.09%(95%CI:0.21%,1.98%)increase in daily AMI hospitalizations per 1? in TV03.Nonlinear exposure-relationships for the association between TV03 and AMI hospitalizations were observed,with the minimum hospitalization TV varied across TV exposures days.The estimates decreased but remained significant when controlling for air pollutions.Analysis ofthe interaction between air pollutions and TV within pollutant strata resulted in positive but,in most cases,the differences were statistically insignificant(P>0.05).Assuming a causal association 5,776(95%CI:1,173-10,101)cases were attributable to TV0-3 in Beijing during 2013-2016,accounting for 7.1%(95%CI:1.4-l2.5%)of AMI hospitalizations.Conclusion:This study provides evidence for the first time of a relationship between daily terrperature variation and increased hospitalizations for AMI.Therefore,appropriate and valid methods of health programs are needed to reduce the adverse effects of temperature variation,especially far vulnerable groups.ObjectiveTo evaluate the asscciatins between acute exacerbations of chronic obstructive pulmonary disease(AECOPD)hospitalizations and daily mean temperature(Tmean)as well as daily apparent tenperature(AT),and to,qiore the practical values of these two indices in policymaking and patient education.MethodsDaily AECOPD hospitalizations and Meteorolqgical data in Beijing were obtained between 2013 and 2016.Distributed lag non-linear model was adopted to investigate the association between daily amtient temperature and AECOPD hospitalizations.The cumulative effects of cold/hot temperature were abstracted For the extrerme and moderate low-temperature effect estimates,we,respectively,computed the RR of AECOPD hospitalizations at the 1st and 10th percentiles of temperature in comparison with that at the 25th percentile of temperature.For the extreme and moderate high temperature effect estimates,we,respectively,computed the RR of AECOPD hospitalizations at the 99th and 90th percentiles of temperature in comparison with that at the 75th percentile of temperature.ResultsDuring the study period,143,318 AECOPD hospitalizations were collected.A reverse Jshape relationship was found between temperature and AECOPD hospitalizations.The RR of extremely low temperature of Tmean and AT were 1.55(95%CI:1.21,2.00)and 2.08(95%CI:1.44,3.01),respectively.Moderate low temperature also had an adverse impact on ABCOPD hospitalizations.No associations were found between temperature and AECOPD risk.When comparing the effect of Tmean,higher RRs were associated with increases in AT on AECOPD hospitalizations but a lower value of Akaike's Information Criterion for quasi-Poisson(Q-AIC).We found the females and those aged<65 years to be more susceptible to temperature change.ConclusionLower temperature is associated with a higher risk for AECOPD hospitalizations.Ambient temperature is probably a better predictor in terms of quantifying risk than mean temperature when studying temperature impact on health.