Air pollution as a risk factor for depressive episode in patients with cardiovascular disease, diabetes mellitus, or asthma
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 s...
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| Published in | Journal of affective disorders Vol. 157; pp. 45 - 51 |
|---|---|
| Main Authors | , , , , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
Oxford
Elsevier B.V
01.03.2014
Elsevier |
| Subjects | |
| Online Access | Get full text |
| ISSN | 0165-0327 1573-2517 1573-2517 |
| DOI | 10.1016/j.jad.2014.01.002 |
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| Abstract | 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.
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.
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.
Our data may include a misclassification bias due to the validity of a diagnosis determined from medical services utilization data.
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. |
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| AbstractList | 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. 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. 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. 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. Our data may include a misclassification bias due to the validity of a diagnosis determined from medical services utilization data. 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. 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. [Copyright Elsevier B.V.] 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. 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.BACKGROUNDThere 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.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.METHODSSubjects 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.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.RESULTSSO2, 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.Our data may include a misclassification bias due to the validity of a diagnosis determined from medical services utilization data.LIMITATIONSOur data may include a misclassification bias due to the validity of a diagnosis determined from medical services utilization data.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.CONCLUSIONSSO2, 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. 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. |
| Author | Choi, Yoon Jung Kim, Hyunsoo Ha, Kyoung Hwa Cho, Jaelim Suh, Mina Sohn, Jungwoo Kim, Changsoo Cho, Seong-Kyung Shin, Dong Chun |
| Author_xml | – sequence: 1 givenname: Jaelim surname: Cho fullname: Cho, Jaelim organization: Department of Preventive Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea – sequence: 2 givenname: Yoon Jung surname: Choi fullname: Choi, Yoon Jung organization: Research and Development Center, Health Insurance Review and Assessment Service, Seoul, Republic of Korea – sequence: 3 givenname: Mina surname: Suh fullname: Suh, Mina organization: National Cancer Center, Koyang, Republic of Korea – sequence: 4 givenname: Jungwoo surname: Sohn fullname: Sohn, Jungwoo organization: Department of Preventive Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea – sequence: 5 givenname: Hyunsoo surname: Kim fullname: Kim, Hyunsoo organization: Department of Preventive Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea – sequence: 6 givenname: Seong-Kyung surname: Cho fullname: Cho, Seong-Kyung organization: National Cancer Center, Koyang, Republic of Korea – sequence: 7 givenname: Kyoung Hwa surname: Ha fullname: Ha, Kyoung Hwa organization: Department of Preventive Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea – sequence: 8 givenname: Changsoo surname: Kim fullname: Kim, Changsoo email: preman@yuhs.ac organization: Department of Preventive Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea – sequence: 9 givenname: Dong Chun surname: Shin fullname: Shin, Dong Chun organization: Department of Preventive Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea |
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| Keywords | Air pollution Cardiovascular disease Depressive episode Diabetes mellitus Asthma Endocrinopathy Mood disorder Human Lung disease Respiratory disease Depression Health and environment Risk factor Bronchus disease Obstructive pulmonary disease |
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| Snippet | There is currently insufficient evidence to confirm the effect of ambient air pollution on mental disorders, especially among susceptible populations. This... Abstract Background There is currently insufficient evidence to confirm the effect of ambient air pollution on mental disorders, especially among susceptible... Background: There is currently insufficient evidence to confirm the effect of ambient air pollution on mental disorders, especially among susceptible... |
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| SubjectTerms | Accident and emergency departments Adult Adult and adolescent clinical studies Age Factors Air Pollutants - adverse effects Air pollution Air Pollution - adverse effects Asthma Asthma - complications Asthma - psychology Biological and medical sciences Cardiovascular disease Cardiovascular diseases Cardiovascular Diseases - complications Cardiovascular Diseases - psychology Chronic obstructive pulmonary disease, asthma Cross-Over Studies Depression Depression - epidemiology Depression - etiology Depressive episode Diabetes mellitus Diabetes Mellitus - psychology Diabetes. Impaired glucose tolerance Emergency Service, Hospital Endocrine pancreas. Apud cells (diseases) Endocrinopathies Environment. Living conditions Etiopathogenesis. Screening. Investigations. Target tissue resistance Female Humans Male Medical sciences Middle Aged Mood disorders Pneumology Psychiatry Psychology. Psychoanalysis. Psychiatry Psychopathology. Psychiatry Public health. Hygiene Public health. Hygiene-occupational medicine Republic of Korea - epidemiology Risk Factors Seasons Sex Factors Young Adult |
| Title | Air pollution as a risk factor for depressive episode in patients with cardiovascular disease, diabetes mellitus, or asthma |
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