The Experts below are selected from a list of 297 Experts worldwide ranked by ideXlab platform

Mark Nieuwenhuijsen - One of the best experts on this subject based on the ideXlab platform.

  • A68 Inhalation of traffic-related air pollution using Personal Monitoring and wearable technology
    Journal of Transport & Health, 2015
    Co-Authors: Evi Dons, Michelle Laeremans, Juan Pablo Orjuela, Luc Int Panis, Patrick De Boever, Ione Avila-palencia, Tom Cole-hunter, Mark Nieuwenhuijsen, Audrey De Nazelle, Tijs Louwies
    Abstract:

    AbstractBackground Many studies indicate that air pollution can lead to both acute and chronic health effects. From a husband/wife study (Dons et al., Atmos Environ, 2011), we know that the time-activity pattern is important in determining exposure to air pollution with a difference of up to 30% in exposure between partners. Exposure in the transport microenvironment contributed 20% to cumulative exposure; whereas only 6% of the time is spent travelling. Moreover, when accounting for breathing rates, time in transport can contribute up to a third of the total inhaled particles. Until now, estimation of inhaled concentration is usually based upon literature values or on cumbersome rather than convenient wearable Personal health monitors. Methods A Personal Monitoring study on 40 test persons in Antwerp (Belgium) was set up measuring black carbon (BC), time-activity patterns, geo-location, and physical activity through accelerometry (ExpoApp) and health markers. Activity types and transport modes were annotated based on GPS, accelerometry and physical activity data. Several sensors that register energy expenditure and cardiovascular function (Sensewear armband, Zephyr BioHarness) are being applied for seven consecutive days on these volunteers while inhalation of BC is calculated. Four different methods to calculate minute ventilation where applied: (1) based on activity classification and minute ventilation estimates from literature; (2) based on heart rates; (3) based on breathing rates; (4) based on METs – metabolic equivalents of work, energy expenditure, and oxygen consumption. Currently a larger multicentre study is ongoing within the framework of the European FP7 PASTA project, including Barcelona and London. Results Initial results based on the activity classification provided by the Sensewear Armband, show that volunteers (all office workers) were sleeping for 28% of the time, and at rest for 58% of the time. Volunteers were travelling for 8% of the day. Seven-day average exposure to BC was 1142 ±165 ng/m³. Average daily inhaled BC concentrations accumulated close to 20 µg; depending on the calculation method, inhaled concentrations differed considerably (14±7%), with method (1) giving the highest values. Only while sleeping, the estimation method does not seem to influence the results. Conclusions Especially for traffic-related air pollution, exposure away from home (while travelling and in other non-home microenvironments) is a significant confounder in exposure assessment. In future epidemiological studies it is key to estimate Personal exposure and inhaled dose rather than concentrations on fixed locations; using mobile sensors and wearables this comes within reach.

  • surrounding greenness and exposure to air pollution during pregnancy an analysis of Personal Monitoring data
    Environmental Health Perspectives, 2012
    Co-Authors: Payam Dadvand, Audrey De Nazelle, Margarita Trigueromas, Anna Schembari, Marta Cirach, Elmira Amoly, Francesc Figueras, Xavier Basagana, Bart Ostro, Mark Nieuwenhuijsen
    Abstract:

    Background: Green spaces are reported to improve health status, including beneficial effects on pregnancy outcomes. Despite the suggestions of air pollution–related health benefits of green spaces, there is no available evidence on the impact of greenness on Personal exposure to air pollution. Objectives: We investigated the association between surrounding greenness and Personal exposure to air pollution among pregnant women and to explore the potential mechanisms, if any, behind this association. Methods: In total, 65 rounds of sampling were carried out for 54 pregnant women who resided in Barcelona during 2008–2009. Each round consisted of a 2-day measurement of particulate matter with aerodynamic diameter ≤ 2.5 μm (PM2.5) and a 1-week measurement of nitric oxides collected simultaneously at both the Personal and microenvironmental levels. The study participants were also asked to fill out a time–microenvironment–activity diary during the sampling period. We used satellite retrievals to determine the surrounding greenness as the average of Normalized Difference Vegetation Index (NDVI) in a buffer of 100 m around each maternal residential address. We estimated the impact of surrounding greenness on Personal exposure levels, home-outdoor and home-indoor pollutant levels, and maternal time-activity. Results: Higher residential surrounding greenness was associated with lower Personal, home-indoor, and home-outdoor PM2.5 levels, and more time spent at home-outdoor. Conclusions: We found lower levels of Personal exposure to air pollution among pregnant women residing in greener areas. This finding may be partly explained by lower home-indoor pollutant levels and more time spent in less polluted home-outdoor environment by pregnant women in greener areas.

Tijs Louwies - One of the best experts on this subject based on the ideXlab platform.

  • A68 Inhalation of traffic-related air pollution using Personal Monitoring and wearable technology
    Journal of Transport & Health, 2015
    Co-Authors: Evi Dons, Michelle Laeremans, Juan Pablo Orjuela, Luc Int Panis, Patrick De Boever, Ione Avila-palencia, Tom Cole-hunter, Mark Nieuwenhuijsen, Audrey De Nazelle, Tijs Louwies
    Abstract:

    AbstractBackground Many studies indicate that air pollution can lead to both acute and chronic health effects. From a husband/wife study (Dons et al., Atmos Environ, 2011), we know that the time-activity pattern is important in determining exposure to air pollution with a difference of up to 30% in exposure between partners. Exposure in the transport microenvironment contributed 20% to cumulative exposure; whereas only 6% of the time is spent travelling. Moreover, when accounting for breathing rates, time in transport can contribute up to a third of the total inhaled particles. Until now, estimation of inhaled concentration is usually based upon literature values or on cumbersome rather than convenient wearable Personal health monitors. Methods A Personal Monitoring study on 40 test persons in Antwerp (Belgium) was set up measuring black carbon (BC), time-activity patterns, geo-location, and physical activity through accelerometry (ExpoApp) and health markers. Activity types and transport modes were annotated based on GPS, accelerometry and physical activity data. Several sensors that register energy expenditure and cardiovascular function (Sensewear armband, Zephyr BioHarness) are being applied for seven consecutive days on these volunteers while inhalation of BC is calculated. Four different methods to calculate minute ventilation where applied: (1) based on activity classification and minute ventilation estimates from literature; (2) based on heart rates; (3) based on breathing rates; (4) based on METs – metabolic equivalents of work, energy expenditure, and oxygen consumption. Currently a larger multicentre study is ongoing within the framework of the European FP7 PASTA project, including Barcelona and London. Results Initial results based on the activity classification provided by the Sensewear Armband, show that volunteers (all office workers) were sleeping for 28% of the time, and at rest for 58% of the time. Volunteers were travelling for 8% of the day. Seven-day average exposure to BC was 1142 ±165 ng/m³. Average daily inhaled BC concentrations accumulated close to 20 µg; depending on the calculation method, inhaled concentrations differed considerably (14±7%), with method (1) giving the highest values. Only while sleeping, the estimation method does not seem to influence the results. Conclusions Especially for traffic-related air pollution, exposure away from home (while travelling and in other non-home microenvironments) is a significant confounder in exposure assessment. In future epidemiological studies it is key to estimate Personal exposure and inhaled dose rather than concentrations on fixed locations; using mobile sensors and wearables this comes within reach.

Evi Dons - One of the best experts on this subject based on the ideXlab platform.

  • wearable sensors for Personal Monitoring and estimation of inhaled traffic related air pollution evaluation of methods
    Environmental Science & Technology, 2017
    Co-Authors: Evi Dons, Michelle Laeremans, Juan Pablo Orjuela, Arnout Standaert, Patrick De Boever, Ione Avilapalencia, Gloria Carrascoturigas, Tom Colehunter, Esther Anayaboig, Tim Nawrot
    Abstract:

    Physical activity and ventilation rates have an effect on an individual’s dose and may be important to consider in exposure–response relationships; however, these factors are often ignored in environmental epidemiology studies. The aim of this study was to evaluate methods of estimating the inhaled dose of air pollution and understand variability in the absence of a true gold standard metric. Five types of methods were identified: (1) methods using (physical) activity types, (2) methods based on energy expenditure, METs (metabolic equivalents of task), and oxygen consumption, (3) methods based on heart rate or (4) breathing rate, and (5) methods that combine heart and breathing rate. Methods were compared using a real-life data set of 122 adults who wore devices to track movement, black carbon air pollution, and physiological health markers for 3 weeks in three European cities. Different methods for estimating minute ventilation performed well in relative terms with high correlations among different metho...

  • Wearable Sensors for Personal Monitoring and Estimation of Inhaled Traffic-Related Air Pollution: Evaluation of Methods
    Environmental Science and Technology, 2017
    Co-Authors: Evi Dons, Michelle Laeremans, Juan Pablo Orjuela, Glòria Carrasco-turigas, Esther Anaya-boig, Arnout Standaert, Patrick De Boever, Ione Avila-palencia, Tom Cole-hunter, Tim Nawrot
    Abstract:

    Physical activity and ventilation rates have an effect on an individual’s dose and may be important to consider in exposure-response relationships; however, these factors are often ignored in environmental epidemiology studies. The aim of this study was to evaluate methods to estimate the inhaled dose of air pollution and understand variability, in the absence of a true gold standard metric. Five types of methods were identified: (1) methods using (physical) activity types; (2) methods based on energy expenditure, METs (metabolic equivalents of task) and oxygen consumption; (3) methods based on heart rate or (4) breathing rate; and (5) methods that combine heart and breathing rate. Methods were compared using a real-life dataset of 122 adults who wore devices to track movement, black carbon air pollution and physiological health markers for three weeks in three European cities. Different methods to estimate minute ventilation performed well in relative terms with high correlations among different methods....

  • A68 Inhalation of traffic-related air pollution using Personal Monitoring and wearable technology
    Journal of Transport & Health, 2015
    Co-Authors: Evi Dons, Michelle Laeremans, Juan Pablo Orjuela, Luc Int Panis, Patrick De Boever, Ione Avila-palencia, Tom Cole-hunter, Mark Nieuwenhuijsen, Audrey De Nazelle, Tijs Louwies
    Abstract:

    AbstractBackground Many studies indicate that air pollution can lead to both acute and chronic health effects. From a husband/wife study (Dons et al., Atmos Environ, 2011), we know that the time-activity pattern is important in determining exposure to air pollution with a difference of up to 30% in exposure between partners. Exposure in the transport microenvironment contributed 20% to cumulative exposure; whereas only 6% of the time is spent travelling. Moreover, when accounting for breathing rates, time in transport can contribute up to a third of the total inhaled particles. Until now, estimation of inhaled concentration is usually based upon literature values or on cumbersome rather than convenient wearable Personal health monitors. Methods A Personal Monitoring study on 40 test persons in Antwerp (Belgium) was set up measuring black carbon (BC), time-activity patterns, geo-location, and physical activity through accelerometry (ExpoApp) and health markers. Activity types and transport modes were annotated based on GPS, accelerometry and physical activity data. Several sensors that register energy expenditure and cardiovascular function (Sensewear armband, Zephyr BioHarness) are being applied for seven consecutive days on these volunteers while inhalation of BC is calculated. Four different methods to calculate minute ventilation where applied: (1) based on activity classification and minute ventilation estimates from literature; (2) based on heart rates; (3) based on breathing rates; (4) based on METs – metabolic equivalents of work, energy expenditure, and oxygen consumption. Currently a larger multicentre study is ongoing within the framework of the European FP7 PASTA project, including Barcelona and London. Results Initial results based on the activity classification provided by the Sensewear Armband, show that volunteers (all office workers) were sleeping for 28% of the time, and at rest for 58% of the time. Volunteers were travelling for 8% of the day. Seven-day average exposure to BC was 1142 ±165 ng/m³. Average daily inhaled BC concentrations accumulated close to 20 µg; depending on the calculation method, inhaled concentrations differed considerably (14±7%), with method (1) giving the highest values. Only while sleeping, the estimation method does not seem to influence the results. Conclusions Especially for traffic-related air pollution, exposure away from home (while travelling and in other non-home microenvironments) is a significant confounder in exposure assessment. In future epidemiological studies it is key to estimate Personal exposure and inhaled dose rather than concentrations on fixed locations; using mobile sensors and wearables this comes within reach.

Audrey De Nazelle - One of the best experts on this subject based on the ideXlab platform.

  • A68 Inhalation of traffic-related air pollution using Personal Monitoring and wearable technology
    Journal of Transport & Health, 2015
    Co-Authors: Evi Dons, Michelle Laeremans, Juan Pablo Orjuela, Luc Int Panis, Patrick De Boever, Ione Avila-palencia, Tom Cole-hunter, Mark Nieuwenhuijsen, Audrey De Nazelle, Tijs Louwies
    Abstract:

    AbstractBackground Many studies indicate that air pollution can lead to both acute and chronic health effects. From a husband/wife study (Dons et al., Atmos Environ, 2011), we know that the time-activity pattern is important in determining exposure to air pollution with a difference of up to 30% in exposure between partners. Exposure in the transport microenvironment contributed 20% to cumulative exposure; whereas only 6% of the time is spent travelling. Moreover, when accounting for breathing rates, time in transport can contribute up to a third of the total inhaled particles. Until now, estimation of inhaled concentration is usually based upon literature values or on cumbersome rather than convenient wearable Personal health monitors. Methods A Personal Monitoring study on 40 test persons in Antwerp (Belgium) was set up measuring black carbon (BC), time-activity patterns, geo-location, and physical activity through accelerometry (ExpoApp) and health markers. Activity types and transport modes were annotated based on GPS, accelerometry and physical activity data. Several sensors that register energy expenditure and cardiovascular function (Sensewear armband, Zephyr BioHarness) are being applied for seven consecutive days on these volunteers while inhalation of BC is calculated. Four different methods to calculate minute ventilation where applied: (1) based on activity classification and minute ventilation estimates from literature; (2) based on heart rates; (3) based on breathing rates; (4) based on METs – metabolic equivalents of work, energy expenditure, and oxygen consumption. Currently a larger multicentre study is ongoing within the framework of the European FP7 PASTA project, including Barcelona and London. Results Initial results based on the activity classification provided by the Sensewear Armband, show that volunteers (all office workers) were sleeping for 28% of the time, and at rest for 58% of the time. Volunteers were travelling for 8% of the day. Seven-day average exposure to BC was 1142 ±165 ng/m³. Average daily inhaled BC concentrations accumulated close to 20 µg; depending on the calculation method, inhaled concentrations differed considerably (14±7%), with method (1) giving the highest values. Only while sleeping, the estimation method does not seem to influence the results. Conclusions Especially for traffic-related air pollution, exposure away from home (while travelling and in other non-home microenvironments) is a significant confounder in exposure assessment. In future epidemiological studies it is key to estimate Personal exposure and inhaled dose rather than concentrations on fixed locations; using mobile sensors and wearables this comes within reach.

  • surrounding greenness and exposure to air pollution during pregnancy an analysis of Personal Monitoring data
    Environmental Health Perspectives, 2012
    Co-Authors: Payam Dadvand, Audrey De Nazelle, Margarita Trigueromas, Anna Schembari, Marta Cirach, Elmira Amoly, Francesc Figueras, Xavier Basagana, Bart Ostro, Mark Nieuwenhuijsen
    Abstract:

    Background: Green spaces are reported to improve health status, including beneficial effects on pregnancy outcomes. Despite the suggestions of air pollution–related health benefits of green spaces, there is no available evidence on the impact of greenness on Personal exposure to air pollution. Objectives: We investigated the association between surrounding greenness and Personal exposure to air pollution among pregnant women and to explore the potential mechanisms, if any, behind this association. Methods: In total, 65 rounds of sampling were carried out for 54 pregnant women who resided in Barcelona during 2008–2009. Each round consisted of a 2-day measurement of particulate matter with aerodynamic diameter ≤ 2.5 μm (PM2.5) and a 1-week measurement of nitric oxides collected simultaneously at both the Personal and microenvironmental levels. The study participants were also asked to fill out a time–microenvironment–activity diary during the sampling period. We used satellite retrievals to determine the surrounding greenness as the average of Normalized Difference Vegetation Index (NDVI) in a buffer of 100 m around each maternal residential address. We estimated the impact of surrounding greenness on Personal exposure levels, home-outdoor and home-indoor pollutant levels, and maternal time-activity. Results: Higher residential surrounding greenness was associated with lower Personal, home-indoor, and home-outdoor PM2.5 levels, and more time spent at home-outdoor. Conclusions: We found lower levels of Personal exposure to air pollution among pregnant women residing in greener areas. This finding may be partly explained by lower home-indoor pollutant levels and more time spent in less polluted home-outdoor environment by pregnant women in greener areas.

Michelle Laeremans - One of the best experts on this subject based on the ideXlab platform.

  • wearable sensors for Personal Monitoring and estimation of inhaled traffic related air pollution evaluation of methods
    Environmental Science & Technology, 2017
    Co-Authors: Evi Dons, Michelle Laeremans, Juan Pablo Orjuela, Arnout Standaert, Patrick De Boever, Ione Avilapalencia, Gloria Carrascoturigas, Tom Colehunter, Esther Anayaboig, Tim Nawrot
    Abstract:

    Physical activity and ventilation rates have an effect on an individual’s dose and may be important to consider in exposure–response relationships; however, these factors are often ignored in environmental epidemiology studies. The aim of this study was to evaluate methods of estimating the inhaled dose of air pollution and understand variability in the absence of a true gold standard metric. Five types of methods were identified: (1) methods using (physical) activity types, (2) methods based on energy expenditure, METs (metabolic equivalents of task), and oxygen consumption, (3) methods based on heart rate or (4) breathing rate, and (5) methods that combine heart and breathing rate. Methods were compared using a real-life data set of 122 adults who wore devices to track movement, black carbon air pollution, and physiological health markers for 3 weeks in three European cities. Different methods for estimating minute ventilation performed well in relative terms with high correlations among different metho...

  • Wearable Sensors for Personal Monitoring and Estimation of Inhaled Traffic-Related Air Pollution: Evaluation of Methods
    Environmental Science and Technology, 2017
    Co-Authors: Evi Dons, Michelle Laeremans, Juan Pablo Orjuela, Glòria Carrasco-turigas, Esther Anaya-boig, Arnout Standaert, Patrick De Boever, Ione Avila-palencia, Tom Cole-hunter, Tim Nawrot
    Abstract:

    Physical activity and ventilation rates have an effect on an individual’s dose and may be important to consider in exposure-response relationships; however, these factors are often ignored in environmental epidemiology studies. The aim of this study was to evaluate methods to estimate the inhaled dose of air pollution and understand variability, in the absence of a true gold standard metric. Five types of methods were identified: (1) methods using (physical) activity types; (2) methods based on energy expenditure, METs (metabolic equivalents of task) and oxygen consumption; (3) methods based on heart rate or (4) breathing rate; and (5) methods that combine heart and breathing rate. Methods were compared using a real-life dataset of 122 adults who wore devices to track movement, black carbon air pollution and physiological health markers for three weeks in three European cities. Different methods to estimate minute ventilation performed well in relative terms with high correlations among different methods....

  • A68 Inhalation of traffic-related air pollution using Personal Monitoring and wearable technology
    Journal of Transport & Health, 2015
    Co-Authors: Evi Dons, Michelle Laeremans, Juan Pablo Orjuela, Luc Int Panis, Patrick De Boever, Ione Avila-palencia, Tom Cole-hunter, Mark Nieuwenhuijsen, Audrey De Nazelle, Tijs Louwies
    Abstract:

    AbstractBackground Many studies indicate that air pollution can lead to both acute and chronic health effects. From a husband/wife study (Dons et al., Atmos Environ, 2011), we know that the time-activity pattern is important in determining exposure to air pollution with a difference of up to 30% in exposure between partners. Exposure in the transport microenvironment contributed 20% to cumulative exposure; whereas only 6% of the time is spent travelling. Moreover, when accounting for breathing rates, time in transport can contribute up to a third of the total inhaled particles. Until now, estimation of inhaled concentration is usually based upon literature values or on cumbersome rather than convenient wearable Personal health monitors. Methods A Personal Monitoring study on 40 test persons in Antwerp (Belgium) was set up measuring black carbon (BC), time-activity patterns, geo-location, and physical activity through accelerometry (ExpoApp) and health markers. Activity types and transport modes were annotated based on GPS, accelerometry and physical activity data. Several sensors that register energy expenditure and cardiovascular function (Sensewear armband, Zephyr BioHarness) are being applied for seven consecutive days on these volunteers while inhalation of BC is calculated. Four different methods to calculate minute ventilation where applied: (1) based on activity classification and minute ventilation estimates from literature; (2) based on heart rates; (3) based on breathing rates; (4) based on METs – metabolic equivalents of work, energy expenditure, and oxygen consumption. Currently a larger multicentre study is ongoing within the framework of the European FP7 PASTA project, including Barcelona and London. Results Initial results based on the activity classification provided by the Sensewear Armband, show that volunteers (all office workers) were sleeping for 28% of the time, and at rest for 58% of the time. Volunteers were travelling for 8% of the day. Seven-day average exposure to BC was 1142 ±165 ng/m³. Average daily inhaled BC concentrations accumulated close to 20 µg; depending on the calculation method, inhaled concentrations differed considerably (14±7%), with method (1) giving the highest values. Only while sleeping, the estimation method does not seem to influence the results. Conclusions Especially for traffic-related air pollution, exposure away from home (while travelling and in other non-home microenvironments) is a significant confounder in exposure assessment. In future epidemiological studies it is key to estimate Personal exposure and inhaled dose rather than concentrations on fixed locations; using mobile sensors and wearables this comes within reach.