| 1. |
- Stafoggia, Massimo, et al.
(författare)
-
A Random Forest Approach to Estimate Daily Particulate Matter, Nitrogen Dioxide, and Ozone at Fine Spatial Resolution in Sweden
- 2020
-
Ingår i: Atmosphere. - : MDPI AG. - 2073-4433. ; 11:3
-
Tidskriftsartikel (refereegranskat)abstract
- Air pollution is one of the leading causes of mortality worldwide. An accurate assessment of its spatial and temporal distribution is mandatory to conduct epidemiological studies able to estimate long-term (e.g., annual) and short-term (e.g., daily) health effects. While spatiotemporal models for particulate matter (PM) have been developed in several countries, estimates of daily nitrogen dioxide (NO2) and ozone (O-3) concentrations at high spatial resolution are lacking, and no such models have been developed in Sweden. We collected data on daily air pollutant concentrations from routine monitoring networks over the period 2005-2016 and matched them with satellite data, dispersion models, meteorological parameters, and land-use variables. We developed a machine-learning approach, the random forest (RF), to estimate daily concentrations of PM10 (PM<10 microns), PM2.5 (PM<2.5 microns), PM2.5-10 (PM between 2.5 and 10 microns), NO2, and O-3 for each squared kilometer of Sweden over the period 2005-2016. Our models were able to describe between 64% (PM10) and 78% (O-3) of air pollutant variability in held-out observations, and between 37% (NO2) and 61% (O-3) in held-out monitors, with no major differences across years and seasons and better performance in larger cities such as Stockholm. These estimates will allow to investigate air pollution effects across the whole of Sweden, including suburban and rural areas, previously neglected by epidemiological investigations.
|
|
| 2. |
- Wong, Sandy, et al.
(författare)
-
Associations between daily ambient temperature and sedentary time among children 4-6 years old in Mexico City
- 2020
-
Ingår i: PLOS ONE. - : PUBLIC LIBRARY SCIENCE. - 1932-6203. ; 15:10
-
Tidskriftsartikel (refereegranskat)abstract
- Background Sedentary behavior is a worldwide public health concern. There is consistent and growing evidence linking sedentary behavior to mortality and morbidity. Early monitoring and assessment of environmental factors associated with sedentary behaviors at a young age are important initial steps for understanding children's sedentary time and identifying pertinent interventions. Objective This study examines the association between daily temperature (maximum, mean, minimum, and diurnal variation) and all-day sedentary time among 4-6 year old children in Mexico City (n = 559) from the year 2013 to 2015. Methods We developed a spatiotemporally resolved hybrid satellite-based land use regression temperature model and calculated percent daily sedentary time from aggregating 10-second epoch vertical counts captured by accelerometers that participants wore for one week. We modeled generalized additive models (GAMs), one for each temperature type as a covariate (maximum, mean, minimum, and diurnal variation). All GAMs included percent all-day sedentary time as the outcome and participant-level random intercepts to account for repeated measures of sedentary time. Our models were adjusted for demographic factors and environmental exposures. Results Daily maximum temperature, mean temperature, and diurnal variation have significant negative linear relationships with all-day sedentary time (p<0.01). There is no significant association between daily minimum temperature and all-day sedentary time. Children have on average 0.26% less daily sedentary time (approximately 2.2 minutes) for each 1 degrees C increase in ambient maximum temperature (range 7.1-30.2 degrees C), 0.27% less daily sedentary time (approximately 2.3 minutes) for each 1 degrees C increase in ambient mean temperature (range 4.3-22.2 degrees C), and 0.23% less daily sedentary time (approximately 2.0 minutes) for each 1 degrees C increase in diurnal variation (range 3.0-21.6 degrees C). Conclusions These results are contrary to our hypothesis in which we expected a curvilinear relationship between temperature (maximum, mean, minimum, and diurnal variation) and sedentary time. Our findings suggest that temperature is an important environmental factor that influences children's sedentary behavior.
|
|
| 3. |
- Wu, Haotian, et al.
(författare)
-
Association of ambient PM2.5 exposure with maternal bone strength in pregnant women from Mexico City : a longitudinal cohort study
- 2020
-
Ingår i: The Lancet Planetary Health. - 2542-5196. ; 4:11, s. E530-E537
-
Tidskriftsartikel (refereegranskat)abstract
- Background Pregnancy is associated with deteriorations in maternal bone strength and heightened susceptibility to bone fractures. We aimed to investigate whether ambient particulate matter (PM)(2.5) concentrations were associated with bone strength during pregnancy. Methods In this longitudinal cohort study, we analysed longitudinal data from women participating in the Programming Research in Obesity, Growth, Environment and Social Stressors (PROGRESS) cohort in Mexico City, Mexico. Eligible women were aged 18 years or older, at less than 20 weeks' gestation at the time of recruitment, planning to stay in Mexico City for the next 3 years, without heart or kidney disease, did not use steroids or anti-epileptic drugs, were not daily consumers of alcohol, and had access to a telephone. Daily ambient PM2.5 concentrations were estimated from a spatio-temporal model that was based on the individual's address. Trabecular bone strength was measured using quantitative ultrasound from the radius of the middle finger and cortical bone strength from the proximal phalanx of the middle finger, during the second trimester, third trimester, and 1 and 6 months post partum. Bone strength T scores were modelled with PM2.5 concentrations using linear mixed models and distributed lag models. Findings Adjusting for multiple exposure windows, each 10 mu g/m(3) increase in PM2.5 exposure concentrations in the first trimester was associated with a 0.18 SD decrease (95% CI -0.35 to -0.01; p=0.033) in ultrasound speed-of-sound (SOS) T score of trabecular bone strength from the second trimester until 6 months post partum. Similarly, each 10 mu g/m(3) increase in third trimester PM2.5 exposure was associated with a 0.18 SD decrease (-0.36 to -0.01; p=0.044) in the SOS T score of trabecular bone strength from the third trimester until 6 months post partum. PM2.5 exposure in the first month post partum was associated with a 0.20 SD decline (-0.39 to -0.01; p=0.043) in cortical bone strength until 6 months post partum. Interpretation Ambient PM2.5 exposure during and after pregnancy was associated with diminished trabecular and cortical bone strength. Early pregnancy PM2.5 exposure was associated with a greater decline in bone strength later during pregnancy. Late pregnancy and early post-partum exposures adversely affected the post-partum bone strength recovery. Technological and policy solutions to reduce PM2.5 pollution could improve public health by reducing bone fracture risk.
|
|
