2018
DOI: 10.1289/ehp2223
|View full text |Cite
|
Sign up to set email alerts
|

Air Pollution and Suicide in 10 Cities in Northeast Asia: A Time-Stratified Case-Crossover Analysis

Abstract: Background:There is growing evidence suggesting an association between air pollution and suicide. However, previous findings varied depending on the type of air pollutant and study location.Objectives:We examined the association between air pollutants and suicide in 10 large cities in South Korea, Japan, and Taiwan.Methods:We used a two-stage meta-analysis. First, we conducted a time-stratified case-crossover analysis to estimate the short-term association between nitrogen dioxide (NO2), sulfur dioxide (SO2), … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

4
39
0
2

Year Published

2019
2019
2024
2024

Publication Types

Select...
9
1

Relationship

1
9

Authors

Journals

citations
Cited by 63 publications
(45 citation statements)
references
References 33 publications
(45 reference statements)
4
39
0
2
Order By: Relevance
“…We conducted several sensitivity analyses to assess the robustness of our results: a) we increased the population age limit from 74 y to 84 y by including additional patients 75-84 years of age from 2009 to 2015 (1,377 MI cases); b) we used an alternative 5-d average lag for temperature as reported in a previous analysis (Wolf et al 2009); c) we used two temperature terms to account for both the current temperature and lagged temperature (1-24 h, 1-48 h, or 1-72 h), as well as the concurrent temperature with the same lag as particle metrics and lagged temperature at the previous 2-3 d (25-72 h); d) we redefined the control periods by changing the fixed time strata from calendar month to a recurring 3-week period (e.g., first to third week of the year) to assess the influence of time strata (Kim et al 2018); e) we redefined the high and low levels of copollutants and air temperature, using the 50th percentile as the cut off value in the effect modification analyses; and f) we explored the exposure-response relationships between particle metrics and MI by applying a natural cubic spline with 4 df to the pollutant term (rather than a linear term). Akaike information criteria (AIC) values were used to compare the model fits between model with this nonlinear pollutant term and the main model with a linear pollutant term.…”
Section: Discussionmentioning
confidence: 99%
“…We conducted several sensitivity analyses to assess the robustness of our results: a) we increased the population age limit from 74 y to 84 y by including additional patients 75-84 years of age from 2009 to 2015 (1,377 MI cases); b) we used an alternative 5-d average lag for temperature as reported in a previous analysis (Wolf et al 2009); c) we used two temperature terms to account for both the current temperature and lagged temperature (1-24 h, 1-48 h, or 1-72 h), as well as the concurrent temperature with the same lag as particle metrics and lagged temperature at the previous 2-3 d (25-72 h); d) we redefined the control periods by changing the fixed time strata from calendar month to a recurring 3-week period (e.g., first to third week of the year) to assess the influence of time strata (Kim et al 2018); e) we redefined the high and low levels of copollutants and air temperature, using the 50th percentile as the cut off value in the effect modification analyses; and f) we explored the exposure-response relationships between particle metrics and MI by applying a natural cubic spline with 4 df to the pollutant term (rather than a linear term). Akaike information criteria (AIC) values were used to compare the model fits between model with this nonlinear pollutant term and the main model with a linear pollutant term.…”
Section: Discussionmentioning
confidence: 99%
“…Despite their differing properties and potential routes of exposure, both particulate matter and ozone have been associated with a variety of CNS impacts. These include impaired cognitive performance [27][28][29], dementia [30,31], anxiety and depression [32][33][34][35], and suicide [36][37][38]. It should be noted that there is considerable variability in the epidemiologic literature; a more comprehensive overview of associations between particulate matter or ozone and neurological/mental health outcomes is provided in several recent reviews [5,6,20,39,40].…”
Section: Particulate Matter and Ozone: Distinct Properties Overlappimentioning
confidence: 99%
“…Sulfur dioxide (SO 2 ) has a prominent impact on air quality, which is closely related to human health. At present, the SO 2 emissions from coal-fired power plants, which are a traditional energy source still used to support the economic needs in many countries, have become a serious problem which must be considered and solved by the government of each country (Akiko, Yoshiki, & Kazuaki, 2015;Alessandra et al, 2019;Kim et al, 2018;Lin et al, 2018). Under these circumstances, the emission standards for SO 2 have been continuously improved worldwide.…”
Section: Introductionmentioning
confidence: 99%