Ambient air pollution exposure and obesity-related traits in Korean adults

Seo Eun Hwang, Hyuktae Kwon, Su Min Jeong, Hyun Jin Kim, Jin Ho Park

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

Purpose: Although some studies have tried to determine the impact of long-term air pollution exposure on obesity, they have mainly focused on body mass index (BMI) and the results are inconsistent. Therefore, we investigated the association of annual ambient air pollution exposure with various obesity traits, including computed tomography-measured abdominal fatness, in a large Korean adult population. Patients and methods: A total of 5,114 participants who underwent routine health checkups at Seoul National University Hospital were included in the analysis. We calculated the annual average concentrations of ambient air pollutants, such as particulate matter ≤10 μm in diameter (PM10) and nitrogen dioxide (NO2), using the individual’s zip code. Obesity-related indicators included the BMI, waist circumference (WC), percent body fat (PBF), total adipose tissue (TAT), visceral adipose tissue (VAT), and subcutaneous adipose tissue (SAT). Results: The mean age of the population was 53.5 and 70.9% were men. The mean annual concentrations of PM10 and NO2 were 49.4 μg/m3 and 30.3 ppb, respectively. In the full covariates model, adjusted for demographic and clinical variables, interquartile range increase in annual average concentration of PM10 and NO2 was not associated with any obesity-related phenotypes including BMI, WC, PBF, TAT, VAT, and SAT (all P>0.05). Likewise, no significant association between air pollutants and obesity-related traits was observed in any subgroups, stratified by sex and age (all P>0.05). Conclusion: Annual exposure to ambient air pollution is not associated with any obesityrelated traits in Korean adults.

Original languageEnglish
Pages (from-to)1365-1377
Number of pages13
JournalDiabetes, Metabolic Syndrome and Obesity: Targets and Therapy
Volume12
DOIs
StatePublished - 1 Jan 2019

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Air Pollution
Obesity
Adipose Tissue
Air Pollutants
Body Mass Index
Intra-Abdominal Fat
Subcutaneous Fat
Waist Circumference
Nitrogen Dioxide
Particulate Matter
Population
Tomography
Demography
Phenotype
Health

Keywords

  • Abdominal adiposity
  • Air
  • Matter
  • Obesity
  • Particulate
  • Pollution

Cite this

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title = "Ambient air pollution exposure and obesity-related traits in Korean adults",
abstract = "Purpose: Although some studies have tried to determine the impact of long-term air pollution exposure on obesity, they have mainly focused on body mass index (BMI) and the results are inconsistent. Therefore, we investigated the association of annual ambient air pollution exposure with various obesity traits, including computed tomography-measured abdominal fatness, in a large Korean adult population. Patients and methods: A total of 5,114 participants who underwent routine health checkups at Seoul National University Hospital were included in the analysis. We calculated the annual average concentrations of ambient air pollutants, such as particulate matter ≤10 μm in diameter (PM10) and nitrogen dioxide (NO2), using the individual’s zip code. Obesity-related indicators included the BMI, waist circumference (WC), percent body fat (PBF), total adipose tissue (TAT), visceral adipose tissue (VAT), and subcutaneous adipose tissue (SAT). Results: The mean age of the population was 53.5 and 70.9{\%} were men. The mean annual concentrations of PM10 and NO2 were 49.4 μg/m3 and 30.3 ppb, respectively. In the full covariates model, adjusted for demographic and clinical variables, interquartile range increase in annual average concentration of PM10 and NO2 was not associated with any obesity-related phenotypes including BMI, WC, PBF, TAT, VAT, and SAT (all P>0.05). Likewise, no significant association between air pollutants and obesity-related traits was observed in any subgroups, stratified by sex and age (all P>0.05). Conclusion: Annual exposure to ambient air pollution is not associated with any obesityrelated traits in Korean adults.",
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Ambient air pollution exposure and obesity-related traits in Korean adults. / Hwang, Seo Eun; Kwon, Hyuktae; Jeong, Su Min; Kim, Hyun Jin; Park, Jin Ho.

In: Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy, Vol. 12, 01.01.2019, p. 1365-1377.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Ambient air pollution exposure and obesity-related traits in Korean adults

AU - Hwang, Seo Eun

AU - Kwon, Hyuktae

AU - Jeong, Su Min

AU - Kim, Hyun Jin

AU - Park, Jin Ho

PY - 2019/1/1

Y1 - 2019/1/1

N2 - Purpose: Although some studies have tried to determine the impact of long-term air pollution exposure on obesity, they have mainly focused on body mass index (BMI) and the results are inconsistent. Therefore, we investigated the association of annual ambient air pollution exposure with various obesity traits, including computed tomography-measured abdominal fatness, in a large Korean adult population. Patients and methods: A total of 5,114 participants who underwent routine health checkups at Seoul National University Hospital were included in the analysis. We calculated the annual average concentrations of ambient air pollutants, such as particulate matter ≤10 μm in diameter (PM10) and nitrogen dioxide (NO2), using the individual’s zip code. Obesity-related indicators included the BMI, waist circumference (WC), percent body fat (PBF), total adipose tissue (TAT), visceral adipose tissue (VAT), and subcutaneous adipose tissue (SAT). Results: The mean age of the population was 53.5 and 70.9% were men. The mean annual concentrations of PM10 and NO2 were 49.4 μg/m3 and 30.3 ppb, respectively. In the full covariates model, adjusted for demographic and clinical variables, interquartile range increase in annual average concentration of PM10 and NO2 was not associated with any obesity-related phenotypes including BMI, WC, PBF, TAT, VAT, and SAT (all P>0.05). Likewise, no significant association between air pollutants and obesity-related traits was observed in any subgroups, stratified by sex and age (all P>0.05). Conclusion: Annual exposure to ambient air pollution is not associated with any obesityrelated traits in Korean adults.

AB - Purpose: Although some studies have tried to determine the impact of long-term air pollution exposure on obesity, they have mainly focused on body mass index (BMI) and the results are inconsistent. Therefore, we investigated the association of annual ambient air pollution exposure with various obesity traits, including computed tomography-measured abdominal fatness, in a large Korean adult population. Patients and methods: A total of 5,114 participants who underwent routine health checkups at Seoul National University Hospital were included in the analysis. We calculated the annual average concentrations of ambient air pollutants, such as particulate matter ≤10 μm in diameter (PM10) and nitrogen dioxide (NO2), using the individual’s zip code. Obesity-related indicators included the BMI, waist circumference (WC), percent body fat (PBF), total adipose tissue (TAT), visceral adipose tissue (VAT), and subcutaneous adipose tissue (SAT). Results: The mean age of the population was 53.5 and 70.9% were men. The mean annual concentrations of PM10 and NO2 were 49.4 μg/m3 and 30.3 ppb, respectively. In the full covariates model, adjusted for demographic and clinical variables, interquartile range increase in annual average concentration of PM10 and NO2 was not associated with any obesity-related phenotypes including BMI, WC, PBF, TAT, VAT, and SAT (all P>0.05). Likewise, no significant association between air pollutants and obesity-related traits was observed in any subgroups, stratified by sex and age (all P>0.05). Conclusion: Annual exposure to ambient air pollution is not associated with any obesityrelated traits in Korean adults.

KW - Abdominal adiposity

KW - Air

KW - Matter

KW - Obesity

KW - Particulate

KW - Pollution

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DO - 10.2147/DMSO.S208115

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JO - Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy

JF - Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy

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ER -