FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W54493774> ?p ?o ?g. }

• W54493774 abstract "A large number of studies have shown that both temperature and air pollution (eg, particulatematter and ozone) are associated with health outcomes. So far, it has received limitedattention whether air pollution and temperature interact to affect health outcomes. A fewstudies have examined interactive effects between temperature and air pollution, but producedconflicting results. This thesis aimed to examine whether air pollution (including ozone andparticulate matter) and temperature interacted to affect health outcomes in Brisbane, Australiaand 95 large US communities.In order to examine the consistency across different cities and different countries, we usedtwo datasets to examine interactive effects of temperature and air pollution. One dataset wascollected in Brisbane City, Australia, during 1996-2000. The dataset included air pollution(PM10, ozone and nitrogen dioxide), weather conditions (minimum temperature, maximumtemperature, relative humidity and rainfall) and different health outcomes. Another datasetwas collected from the 95 large US communities, which included air pollution (ozone wasused in the thesis), weather conditions (maximum temperature and dew point temperature)and mortality (all non-external cause mortality and cardiorespiratory mortality).Firstly, we used three parallel time-series models to examine whether maximum temperaturemodified PM10 effects on cardiovascular hospital admissions (CHA), respiratory hospitaladmissions (RHA), cardiovascular emergency visits (CEV), respiratory emergency visits(REV), cardiovascular mortality (CM) and non-external cause mortality (NECM), at lags of0-2 days in Brisbane. We used a Poisson generalized additive model (GAM) to fit a bivariatemodel to explore joint response surfaces of both maximum temperature and particulate matterless than 10 μm in diameter (PM10) on individual health outcomes at each lag. Results showthat temperature and PM10 interacted to affect different health outcomes at various lags. Then,we separately fitted non-stratification and stratification GAM models to quantify theinteractive effects. In the non-stratification model, we examined the interactive effects byincluding a pointwise product for both temperature and the pollutant. In the stratificationmodel, we categorized temperature into two levels using different cut-offs and then includedan interactive term for both pollutant and temperature. Results show that maximumtemperature significantly and positively modified the associations of PM10 with RHA, CEV,REV, CM and NECM at various lags, but not for CHA.Then, we used the above Poisson regression models to examine whether PM10 modified theassociations of minimum temperature with CHA, RHA, CEV, REV, CM and NECM at lagsof 0-2 days. In this part, we categorized PM10 into two levels using the mean as cut-off to fitthe stratification model. The results show that PM10 significantly modified the effects oftemperature on CHA, RHA, CM and NECM at various lags. The enhanced adversetemperature effects were found at higher levels of PM10, but there was no clear evidence forsynergistic effects on CEV and REV at various lags. Three parallel models produced similarresults, which strengthened the validity of these findings.Thirdly, we examined whether there were the interactive effects between maximumtemperature and ozone on NECM in individual communities between April and October,1987-2000, using the data of 60 eastern US communities from the National Morbidity,Mortality, and Air Pollution Study (NMMAPS). We divided these communities into tworegions (northeast and southeast) according to the NMMAPS study. We first used thebivariate model to examine the joint effects between temperature and ozone on NECM ineach community, and then fit a stratification model in each community by categorizingtemperature into three levels. After that, we used Bayesian meta-analysis to estimate overalleffects across regions and temperature levels from the stratification model. The bivariatemodel shows that temperature obviously modified ozone effects in most of the northeastcommunities, but the trend was not obviously in the southeast region. Bayesian meta-analysisshows that in the northeast region, a 10-ppb increment in ozone was associated with 2.2%(95% posterior interval [PI]: 1.2%, 3.1 %), 3.1% (95% PI: 2.2%, 3.8 %) and 6.2 % (95% PI:4.8%, 7.6 %) increase in mortality for low, moderate and high temperature levels, respectively,while in the southeast region, a 10-ppb increment in ozone was associated with 1.1% (95% PI:-1.1%, 3.2 %), 1.5% (95% PI: 0.2%, 2.8%) and 1.3% (95% PI: -0.3%, 3.0 %) increase inmortality.In addition, we examined whether temperature modified ozone effects on cardiovascularmortality in 95 large US communities between May and October, 1987-2000 using the samemodels as the above. We divided the communities into 7 regions according to the NMMAPSstudy (Northeast, Industrial Midwest, Upper Midwest, Northwest, Southeast, Southwest andSouthern California). The bivariate model shows that temperature modified ozone effects inmost of the communities in the northern regions (Northeast, Industrial Midwest, UpperMidwest, Northwest), but such modification was not obvious in the southern regions(Southeast, Southwest and Southern California). Bayesian meta-analysis shows thattemperature significantly modified ozone effects in the Northeast, Industrial Midwest andNorthwest regions, but not significant in Upper Midwest, Southeast, Southwest and SouthernCalifornia. Nationally, temperature marginally positively modified ozone effects oncardiovascular mortality. A 10-ppb increment in ozone was associated with 0.4% (95%posterior interval [PI]: -0.2, 0.9 %), 0.3% (95% PI: -0.3%, 1.0%) and 1.6% (95% PI: 4.8%,7.6%) increase in mortality for low, moderate and high temperature levels, respectively. Thedifference of overall effects between high and low temperature levels was 1.3% (95% PI: -0.4%, 2.9%) in the 95 communities.Finally, we examined whether ozone modified the association between maximum temperatureand cardiovascular mortality in 60 large eastern US communities during the warmer days,1987-2000. The communities were divided into the northeast and southeast regions. Werestricted the analyses to the warmer days when temperature was equal to or higher than themedian in each community throughout the study period. We fitted a bivariate model toexplore the joint effects between temperature and ozone on cardiovascular mortality inindividual communities and results show that in general, ozone positively modified theassociation between temperature and mortality in the northeast region, but such modificationwas not obvious in the southeast region. Because temperature effects on mortality mightpartly intermediate by ozone, we divided the dataset into four equal subsets using quartiles ascut-offs. Then, we fitted a parametric model to examine the associations between temperatureand mortality across different levels of ozone using the subsets. Results show that the higherthe ozone concentrations, the stronger the temperature-mortality associations in the northeastregion. However, such a trend was not obvious in the southeast region.Overall, this study found strong evidence that temperature and air pollution interacted toaffect health outcomes. PM10 and temperature interacted to affect different health outcomes atvarious lags in Brisbane, Australia. Temperature and ozone also interacted to affect NECMand CM in US communities and such modification varied considerably across differentregions. The symmetric modification between temperature and air pollution was observed inthe study. This implies that it is considerably important to evaluate the interactive effect whileestimating temperature or air pollution effects and further investigate reasons behind theregional variability." @default.
• W54493774 created "2016-06-24" @default.
• W54493774 creator A5044260589 @default.
• W54493774 date "2007-01-01" @default.
• W54493774 modified "2023-09-23" @default.
• W54493774 title "Evaluation of interactive effects between temperature and air pollution on health outcomes" @default.
• W54493774 cites W1160144583 @default.
• W54493774 cites W1488022545 @default.
• W54493774 cites W1497458040 @default.
• W54493774 cites W1502478 @default.
• W54493774 cites W1528905581 @default.
• W54493774 cites W1568862929 @default.
• W54493774 cites W1602344127 @default.
• W54493774 cites W163069507 @default.
• W54493774 cites W163106710 @default.
• W54493774 cites W1663329593 @default.
• W54493774 cites W1785546977 @default.
• W54493774 cites W1843503887 @default.
• W54493774 cites W1879805678 @default.
• W54493774 cites W196121270 @default.
• W54493774 cites W1968276016 @default.
• W54493774 cites W1969050128 @default.
• W54493774 cites W1973299010 @default.
• W54493774 cites W1974601290 @default.
• W54493774 cites W1976917234 @default.
• W54493774 cites W1977017075 @default.
• W54493774 cites W1977456601 @default.
• W54493774 cites W1977937028 @default.
• W54493774 cites W1981538993 @default.
• W54493774 cites W1984849517 @default.
• W54493774 cites W1985303822 @default.
• W54493774 cites W1985535395 @default.
• W54493774 cites W1985598432 @default.
• W54493774 cites W1988093972 @default.
• W54493774 cites W1989841391 @default.
• W54493774 cites W1991705059 @default.
• W54493774 cites W1991710281 @default.
• W54493774 cites W1992380284 @default.
• W54493774 cites W1992962366 @default.
• W54493774 cites W1994324694 @default.
• W54493774 cites W1994904489 @default.
• W54493774 cites W1998181658 @default.
• W54493774 cites W2002801767 @default.
• W54493774 cites W2004792326 @default.
• W54493774 cites W2005627289 @default.
• W54493774 cites W2006038625 @default.
• W54493774 cites W2007786582 @default.
• W54493774 cites W2009324335 @default.
• W54493774 cites W2010295655 @default.
• W54493774 cites W2010953549 @default.
• W54493774 cites W2012394874 @default.
• W54493774 cites W2014527936 @default.
• W54493774 cites W2016985173 @default.
• W54493774 cites W2017372646 @default.
• W54493774 cites W2017931693 @default.
• W54493774 cites W2019313431 @default.
• W54493774 cites W2022198350 @default.
• W54493774 cites W2023485442 @default.
• W54493774 cites W2024940732 @default.
• W54493774 cites W2025368483 @default.
• W54493774 cites W2025849367 @default.
• W54493774 cites W2026929150 @default.
• W54493774 cites W2028676928 @default.
• W54493774 cites W2033873777 @default.
• W54493774 cites W2034143857 @default.
• W54493774 cites W2034486344 @default.
• W54493774 cites W2035983506 @default.
• W54493774 cites W2038286597 @default.
• W54493774 cites W2038717962 @default.
• W54493774 cites W2039230147 @default.
• W54493774 cites W2041951983 @default.
• W54493774 cites W2042389797 @default.
• W54493774 cites W2045656233 @default.
• W54493774 cites W2045660914 @default.
• W54493774 cites W2046863970 @default.
• W54493774 cites W2051977976 @default.
• W54493774 cites W2054027077 @default.
• W54493774 cites W2055264655 @default.
• W54493774 cites W2056574739 @default.
• W54493774 cites W2056856480 @default.
• W54493774 cites W2057663554 @default.
• W54493774 cites W2059026678 @default.
• W54493774 cites W2060126126 @default.
• W54493774 cites W2061332916 @default.
• W54493774 cites W2063579851 @default.
• W54493774 cites W2065779305 @default.
• W54493774 cites W2066950779 @default.
• W54493774 cites W2067705141 @default.
• W54493774 cites W2073589335 @default.
• W54493774 cites W2077273346 @default.
• W54493774 cites W2077621390 @default.
• W54493774 cites W2077935912 @default.
• W54493774 cites W2081163485 @default.
• W54493774 cites W2085444785 @default.
• W54493774 cites W2087050944 @default.
• W54493774 cites W2087670179 @default.
• W54493774 cites W2092183084 @default.
• W54493774 cites W2094482909 @default.
• W54493774 cites W2097618681 @default.
• W54493774 cites W2098386539 @default.

• next