A cross-sectional study on the pulmonary function of residents in two urban areas with different PM10 concentrations: data from the fourth Korea national health and nutrition examination survey (KNHANES) 2007-2009.

Si Woo ParkByoung Gwon KimJung Woo KimJung Woo ParkJung Il Kim

Published in: Annals of occupational and environmental medicine (2018)

The present analysis was based on cross-sectional data collected at one point in time. Therefore, unlike longitudinal studies, it does not establish a clear causal association between the variables. Nevertheless, this study found that pulmonary function among subjects residing in Seoul was significantly decreased compared to that of subjects residing in Jeju.

Keyphrases

cross sectional
electronic health record
big data
particulate matter
physical activity
data analysis
risk factors
polycyclic aromatic hydrocarbons
machine learning
deep learning