Effects of socioeconomic factors and human activities on children’s PM10 exposure in inner-city households in Korea

Byun, Hyaejeong; Bae, Hyun-Joo; Kim, Dong-Jin; Shin, Hosung; Yoon, Chungsik

doi:10.1007/s00420-010-0523-5

Cited by 28 publications

(25 citation statements)

References 45 publications

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“…These trends were found in asthma and allergic rhinitis, but they were not significant. People in underprivileged groups are frequently exposed to indoor pollutants and may have high risks of asthma and allergic diseases [25][26][27].…”

Section: Discussionmentioning

confidence: 99%

Asthma and allergic diseases in preschool children in Korea: findings from the pilot study of the Korean Surveillance System for Childhood Asthma

et al. 2014

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Section: Discussionmentioning

confidence: 99%

Asthma and allergic diseases in preschool children in Korea: findings from the pilot study of the Korean Surveillance System for Childhood Asthma

et al. 2014

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“…In Germany, the mean PM 4 concentrations in smoker households amounted in winter and summer, for instance, to 109 µg/m³ and 59 µg/m³ respectively, and in non smoker households they amounted during the two seasons only to 28 µg/m³ (Fromme et al, 2005). Other important influencing factors for the indoor air contents are the season, the outdoor air, the ventilation behaviour, the age and the location of the buildings and indoor activities such as cooking, the use of ovens and the burning of incense sticks (Mönkkönen et al, 2005;Martuzevicius et al, 2008;Santen et al, 2009;Rodes et al, 2010;Héroux et al, 2010;Byun et al, 2010;Raaschou-Nielsen et al, 2011).…”

Section: Particles In Residencesmentioning

confidence: 99%

Particles in the Indoor Environment

Fromme¹

2012

Air Quality - Monitoring and Modeling

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“…Besides, it should be noticed that the exposure to air pollutants is not equal for all population subgroups even in the same region. A large number of studies have revealed the associations between socio-economic status (SES) factors (e.g., household income and employment status) and personal exposure or the concentrations in micro-environments [13,14]. Hence, the influence of SES variables should be taken into account when estimating the exposure to both pollutants.…”

Section: Introductionmentioning

confidence: 99%

Methodology for Estimating the Lifelong Exposure to PM2.5 and NO2—The Application to European Population Subgroups

Friedrich

2019

Atmosphere

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Health impacts of air pollutants, especially fine particles (PM2.5) and NO2, have been documented worldwide by epidemiological studies. Most of the existing studies utilised the concentration measured at the ambient stations to represent the pollutant inhaled by individuals. However, these measurement data are in fact not able to reflect the real concentration a person is exposed to since people spend most of their time indoors and are also affected by indoor sources. The authors developed a probabilistic methodology framework to simulate the lifelong exposure to PM2.5 and NO2 simultaneously for population subgroups that are characterised by a number of indicators such as age, gender and socio-economic status. The methodology framework incorporates the methods for simulating the long-term outdoor air quality, the pollutant concentration in different micro-environments, the time-activity pattern of population subgroups and the retrospective life course trajectories. This approach was applied to the population in the EU27 countries plus Norway and Switzerland and validated with the measurement data from European multi-centre study, EXPOLIS. Results show that the annual average exposure to PM2.5 and NO2 at European level kept increasing from the 1950s to a peak between the 1980s and the 1990s and showed a decrease until 2015 due to the implementation of a series of directives. It is also revealed that the exposure to both pollutants was affected by geographical location, gender and income level. The average annual exposure over the lifetime of an 80-year-old European to PM2.5 and NO2 amounted to 23.86 (95% CI: 2.95–81.86) and 13.49 (95% CI: 1.36–43.84) µg/m3. The application of this methodology provides valuable insights and novel tools for exposure modelling and environmental studies.

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Effects of socioeconomic factors and human activities on children’s PM10 exposure in inner-city households in Korea

Abstract: We found that indoor PM(10) concentrations were affected by socioeconomic factors rather than human behavioral activities. In determining the environmental policy for indoor air quality, it is important to consider various socioeconomic factors of subjects.

Cited by 28 publications

References 45 publications

Asthma and allergic diseases in preschool children in Korea: findings from the pilot study of the Korean Surveillance System for Childhood Asthma

Asthma and allergic diseases in preschool children in Korea: findings from the pilot study of the Korean Surveillance System for Childhood Asthma

Particles in the Indoor Environment

Methodology for Estimating the Lifelong Exposure to PM2.5 and NO2—The Application to European Population Subgroups

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