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Municipal Residence Level of Long-Term PM10 Exposure Associated with Obesity among Young Adults in Seoul, Korea.


ABSTRACT: BACKGROUND:long-term effects of ambient pollutants used to be defined in cohort studies using biomarkers. Health effects on young adults from long-term exposure to particulate matters (PM) in residential ambiance have received less attention. METHODS:using the data of population-representative aged 19-29 in Seoul, the relationship between obesity and PM10 levels of the living district was examined. We defined obesity as Body Mass Index (BMI) 25 kg/m2 and more. Survey logistic regression was conducted according to individual residence periods in the current municipality. Individual characteristics were adjusted overall and were age-specific; aged 19-24 and 25-29. RESULTS:study population was 3655 (1680 (46%) men and 1933 aged 19-24 (52.9%)) individuals. Relationship between length of residence in municipalities with a greater level of PM10 from 2001-2005 and obesity was increased over the residing period; 10 years ? (odds ratio (OR) 1.071, 95% confidence interval (CI) 0.969-1.185), 15 years ? (1.120, 1.006-1.247), and 20 years ? (1.158, 1.034-1.297) in aged 19-29. Age-specific effects showed slight differences. CONCLUSIONS:Although PM10 levels are currently decreasing, higher levels of PM10 exposure in the residential area during the earlier lifetime may contribute to obesity increase among young adults.

SUBMITTER: Kim J 

PROVIDER: S-EPMC7579278 | biostudies-literature | 2020 Sep

REPOSITORIES: biostudies-literature

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Municipal Residence Level of Long-Term PM<sub>10</sub> Exposure Associated with Obesity among Young Adults in Seoul, Korea.

Kim Jayeun J   Yoon Kyuhyun K  

International journal of environmental research and public health 20200924 19


<h4>Background</h4>long-term effects of ambient pollutants used to be defined in cohort studies using biomarkers. Health effects on young adults from long-term exposure to particulate matters (PM) in residential ambiance have received less attention.<h4>Methods</h4>using the data of population-representative aged 19-29 in Seoul, the relationship between obesity and PM<sub>10</sub> levels of the living district was examined. We defined obesity as Body Mass Index (BMI) 25 kg/m<sup>2</sup> and more  ...[more]

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