Season, sex and age as modifiers in the association of psychosis morbidity with air pollutants: A rising problem in a Chinese metropolis

Tong, Ling; Li, Kai; Zhou, Qixing

doi:10.1016/j.scitotenv.2015.09.066

Cited by 62 publications

(29 citation statements)

References 25 publications

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“…That study found associations of borderline statistical significance between short-term PM exposure and inpatient admissions for mood disorders or schizophrenia. We excluded two studies of associations between short-term PM concentrations and psychosis from this review; the study by Lary et al (2015) of ED admissions for schizophrenia reported only the strength of correlations with specific schizophrenia diagnostic categories, rather than comparative effect estimates, whereas the study by Tong et al (2016) operationalized psychosis diseases as International Classification of Diseases (ICD)-10 codes F00-F99 (organic mental disorders; i.e., including psychiatric disorders with known biological causes such as brain tumors), and psychosis morbidity was undefined. In relation to associations between long-term PM exposure and psychosis risk, the two studies identified used proximity to a major road as a proxy for PM exposure, which did not meet inclusion criteria; we therefore excluded these studies from our review.…”

Section: Discussionmentioning

confidence: 99%

Air Pollution (Particulate Matter) Exposure and Associations with Depression, Anxiety, Bipolar, Psychosis and Suicide Risk: A Systematic Review and Meta-Analysis

Braithwaite

Zhang

Kirkbride

et al. 2019

Environ Health Perspect

404

243

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BACKGROUND: Particulate air pollution's physical health effects are well known, but associations between particulate matter (PM) exposure and mental illness have not yet been established. However, there is increasing interest in emerging evidence supporting a possible etiological link. OBJECTIVES: This systematic review aims to provide a comprehensive overview and synthesis of the epidemiological literature to date by investigating quantitative associations between PM and multiple adverse mental health outcomes (depression, anxiety, bipolar disorder, psychosis, or suicide). METHODS: We undertook a systematic review and meta-analysis. We searched Medline, PsycINFO, and EMBASE from January 1974 to September 2017 for English-language human observational studies reporting quantitative associations between exposure to PM <1:0 lm in aerodynamic diameter (ultrafine particles) and PM <2:5 and <10 lm in aerodynamic diameter (PM 2:5 and PM 10 , respectively) and the above psychiatric outcomes. We extracted data, appraised study quality using a published quality assessment tool, summarized methodological approaches, and conducted metaanalyses where appropriate. RESULTS: Of 1,826 citations identified, 22 met our overall inclusion criteria, and we included 9 in our primary meta-analyses. In our meta-analysis of associations between long-term (>6 months) PM 2:5 exposure and depression (n = 5 studies), the pooled odds ratio was 1.102 per 10-lg=m 3 PM 2:5 increase (95% CI: 1.023, 1.189; I 2 = 0:00%). Two of the included studies investigating associations between long-term PM 2:5 exposure and anxiety also reported statistically significant positive associations, and we found a statistically significant association between short-term PM 10 exposure and suicide in meta-analysis at a 0-2 d cumulative exposure lag. DISCUSSION: Our findings support the hypothesis of an association between long-term PM 2:5 exposure and depression, as well as supporting hypotheses of possible associations between long-term PM 2:5 exposure and anxiety and between short-term PM 10 exposure and suicide. The limited literature and methodological challenges in this field, including heterogeneous outcome definitions, exposure assessment, and residual confounding, suggest further high-quality studies are warranted to investigate potentially causal associations between air pollution and poor mental health.

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Section: Discussionmentioning

confidence: 99%

Air Pollution (Particulate Matter) Exposure and Associations with Depression, Anxiety, Bipolar, Psychosis and Suicide Risk: A Systematic Review and Meta-Analysis

Braithwaite

Zhang

Kirkbride

et al. 2019

Environ Health Perspect

404

243

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“…The combined use of the DLNM model provides values of the effect of the event with N-day lag, also emphasizing the cumulative effect measurement during the period [41,42]. For the assessment of short-term exposure to air pollutants and meteorological variables, the established delay was from 0 to 7 days [19,43,44].…”

Section: Methodsmentioning

confidence: 99%

“…Weekdays and holidays were added to the model as a factor variable with 7 levels (Monday to Sunday) in the case of days of the week, and a binary indicator (0 or 1) for the holidays, to soften the characteristics of hospitalizations concentrated on certain days of the week [33]. The meteorological and air quality variables, due to their seasonality, were modeled by natural cubic splines with 3 degrees of freedom (df) for pollutants and relative humidity, 5 df for temperature and 7 df per year for time space [19,21,[43][44][45][46][47][48]. In this study, the number of the MBD is the random variable denoted by Y i (i = 1, …, n), and the distribution of Y i in a GAM may be any distribution belonging to the exponential family [49].…”

Section: Methodsmentioning

confidence: 99%

Risk assessment of temperature and air pollutants on hospitalizations for mental and behavioral disorders in Curitiba, Brazil

et al. 2020

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Background: Extreme ambient temperatures and air quality have been directly associated with various human diseases from several studies around the world. However, few analyses involving the association of these environmental circumstances with mental and behavioral disorders (MBD) have been carried out, especially in developing countries such as Brazil. Methods: A time series study was carried out to explore the associations between daily air pollutants (SO 2 , NO 2 , O 3 , and PM 10) concentrations and meteorological variables (temperature and relative humidity) on hospital admissions for mental and behavioral disorders for Curitiba, Brazil. Daily hospital admissions from 2010 to 2016 were analyzed by a semi-parametric generalized additive model (GAM) combined with a distributed lag non-linear model (DLNM). Results: Significant associations between environmental conditions (10 μg/m 3 increase in air pollutants and temperature°C) and hospitalizations by MBD were found. Air temperature was the environmental variable with the highest relative risk (RR) at 0-day lag for all ages and sexes analyzed, with RR values of 1.0182 (95% CI: 1.0009-1.0357) for men, and 1.0407 (95% CI: 1.0230-1.0587) for women. Ozone exposure was a risk for all women groups, being higher for the young group, with a RR of 1.0319 (95% CI: 1.0165-1.0483). Elderly from both sexes were more susceptible to temperature variability, with a RR of 1.0651 (95% CI: 1.0213-1.1117) for women, and 1.0215 (95% CI: 1.0195-1.0716) for men. Conclusions: This study suggests that temperatures above and below the thermal comfort threshold, in addition to high concentrations of air pollutants, present significant risks on hospitalizations by MBD; besides, there are physiological and age differences resulting from the effect of this exposure.

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“…Three time-series analyses in China investigated the associations between air pollution and hospital admissions for psychiatric diseases. The study in Tianjin reported that an increase of 10 μg/m 3 in the 2-day average concentrations of PM 10 , SO 2 , and NO 2 corresponded to increases in daily hospital admissions of 0.15%, 0.49%, and 0.57%, respectively [24]. According to a study in Shanghai, increases in PM 10 , SO 2 , and CO increased hospital admissions for psychiatric diseases by 1.27%, 6.88%, and 0.16% per 10 μg/m 3 increase, respectively [25].…”

Section: Discussionmentioning

confidence: 99%

Association between ambient PM2.5 and emergency department visits for psychiatric emergency diseases

Kim

Shin

Song

et al. 2019

The American Journal of Emergency Medicine

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a b s t r a c tBackground: Whether or not short-term exposure to particulate matter b2.5 μm in diameter (PM 2.5 ) increases the risk of psychiatric emergency diseases is unclear. Methods: The study was performed in a metropolis from January 2015 to December 2016. The exposure was PM 2.5 , and the confounders were weather (temperature and humidity) and other pollutants (PM 10 , SO 2 , CO, O 3 , and NO 2 ). The outcomes were emergency department (ED) visits with psychiatric disease codes (F00-F99 in ICD10 codes). General additive models were used for the statistical analysis to calculate the adjusted relative risks (ARRs) and 95% confidence intervals (95% CIs) for the daily number of ED visits with a lag of 1 to 3 days following a 10 μg/m 3 increase in PM 2.5 . Results: During the study period, a total of 67,561 ED visits for psychiatric diseases were identified and tested for association with PM 2.5 . Daily ED visits for all psychiatric diseases were not associated with PM 2.5 in the model that was not adjusted for other pollutants. The ARR (95% CI) in the model adjusted for SO 2 was 1.011 (1.002-1.021) by 10 μg/m 3 of PM 2.5 on Lag 1 for all psychiatric diseases (F00-F99). The ARR (95% CI) in the model adjusted for O 3 was 1.015 (1.003-1.029) by 10 μg/m 3 of PM 2.5 on Lag 1 for F40-F49 (Neurotic, stress-related and somatoform disorders). Conclusion: An increase in PM 2.5 showed a significant association with an increase in ED visits for all psychiatric diseases (F00-F99) and for neurotic, stress-related and somatoform disorders (F40-F49) on lag day 1.

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Season, sex and age as modifiers in the association of psychosis morbidity with air pollutants: A rising problem in a Chinese metropolis

Cited by 62 publications

References 25 publications

Air Pollution (Particulate Matter) Exposure and Associations with Depression, Anxiety, Bipolar, Psychosis and Suicide Risk: A Systematic Review and Meta-Analysis

Air Pollution (Particulate Matter) Exposure and Associations with Depression, Anxiety, Bipolar, Psychosis and Suicide Risk: A Systematic Review and Meta-Analysis

Risk assessment of temperature and air pollutants on hospitalizations for mental and behavioral disorders in Curitiba, Brazil

Association between ambient PM2.5 and emergency department visits for psychiatric emergency diseases

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