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Air pollution as a risk factor for depressive episode in patients with cardiovascular disease, diabetes mellitus, or asthma

Authors
 Jaelim Cho  ;  Yoon Jung Choi  ;  Mina Suh  ;  Jungwoo Sohn  ;  Hyunsoo Kim  ;  Seong-Kyung Cho  ;  Kyoung Hwa Ha  ;  Changsoo Kim  ;  Dong Chun Shin 
Citation
 JOURNAL OF AFFECTIVE DISORDERS, Vol.157 : 45-51, 2014 
Journal Title
 JOURNAL OF AFFECTIVE DISORDERS 
ISSN
 0165-0327 
Issue Date
2014
MeSH
Adult ; Age Factors ; Air Pollutants/adverse effects* ; Air Pollution/adverse effects ; Asthma/complications ; Asthma/psychology* ; Cardiovascular Diseases/complications ; Cardiovascular Diseases/psychology* ; Cross-Over Studies ; Depression/epidemiology ; Depression/etiology* ; Diabetes Mellitus/psychology* ; Emergency Service, Hospital ; Female ; Humans ; Male ; Middle Aged ; Republic of Korea/epidemiology ; Risk Factors ; Seasons ; Sex Factors ; Young Adult
Keywords
Air pollution ; Asthma ; Cardiovascular disease ; Depressive episode ; Diabetes mellitus
Abstract
BACKGROUND: There is currently insufficient evidence to confirm the effect of ambient air pollution on mental disorders, especially among susceptible populations. This study investigated the short-term effect of ambient air pollution on the risk of depressive episode and the effect modification across disease subpopulations. METHODS: Subjects who visited the emergency department (ED) for depressive episode from 2005 to 2009 (n=4985) in Seoul, Republic of Korea were identified from medical claims data. We conducted a time-stratified case-crossover study using conditional logistic regression. Subgroup analyses were conducted after the subjects were stratified by underlying disease (cardiovascular disease, diabetes mellitus, chronic obstructive pulmonary disease, asthma, and depressive disorder). The risk was expressed as an odds ratio (OR) per 1 standard deviation of each air pollutant. RESULTS: SO2, PM10, NO2, and CO were positively associated with ED visits for depressive episode. The maximum risk was observed in the distributed lag 0-3 model for PM10 (OR, 1.120; 95% confidence interval, 1.067-1.176). PM10, NO2, and CO significantly increased the risks of ED visits for depressive episode in subjects with either underlying cardiovascular disease, diabetes mellitus, asthma, or depressive disorder. LIMITATIONS: Our data may include a misclassification bias due to the validity of a diagnosis determined from medical services utilization data. CONCLUSIONS: SO2, PM10, NO2, and CO significantly increased the risk of ED visits for depressive episode, especially among individuals with pre-existing cardiovascular disease, diabetes mellitus, or asthma.
Full Text
http://www.sciencedirect.com/science/article/pii/S0165032714000044
DOI
10.1016/j.jad.2014.01.002
Appears in Collections:
1. College of Medicine (의과대학) > BioMedical Science Institute (의생명과학부) > 1. Journal Papers
1. College of Medicine (의과대학) > Dept. of Preventive Medicine and Public Health (예방의학교실) > 1. Journal Papers
Yonsei Authors
Kim, Chang Soo(김창수) ORCID logo https://orcid.org/0000-0002-5940-5649
Kim, Hyun Soo(김현수)
Sohn, Jung Woo(손정우)
Shin, Dong Chun(신동천) ORCID logo https://orcid.org/0000-0003-4252-2280
Cho, Jae Lim(조재림)
Ha, Kyoung Hwa(하경화)
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/98057
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