Home › Research › Risk factors
Attributable risk of hospital admissions for overall and specific mental disorders due to particulate matter pollution: A time-series study in Chengdu, China
Qiu H, Zhu X, Wang L, Pan J, Pu X, Zeng X, Zhang L, Peng Z et al.. Environmental research, 2018-12-12
Topic: Air pollution and environmental exposures
The associations of particulate matter (PM) pollution with the morbidity of overall and subtypes of mental disorders (MDs), as well as the corresponding morbidity burden, remain understudied, especially in developing countries. This study aimed to evaluate the short-term effects of PM 2.5 (diameters ≤ 2.5 µm), PM 10 (diameters ≤ 10 µm) and PM C (diameters between 2.5 and 10 µm) on hospital admissions (HAs) for MDs in Chengdu, China, during 2015-2016, and calculate corresponding attributable risks. A generalized additive model (GAM) with controlling for time trend, meteorological conditions, holidays and day of the week was used to estimate the associations. Stratified analyses were also performed by age, gender and season. We further estimated the burden of HAs for MDs attributable to PM exposure. During the study period, a total of 10,947 HAs for MDs were collected. PM 2.5 , PM 10 and PM C were significantly associated with elevated risks of MDs hospitalizations. Each 10 μg/m 3 increase in PM 2.5 , PM 10 and PM C at lag06 corresponded to an increase of 2.89% (95% CI: 0.75-5.08%), 1.91% (95% CI: 0.57-3.28%) and 3.95% (95% CI: 0.84-7.15%) in daily HAs for MDs, respectively. The risk estimates of PM on MDs hospitalizations were generally robust after adjustment for gaseous pollutants in two-pollutant models. We found stronger associations between PM pollution and MDs in males and in cool seasons than in females and in warm seasons. For specific subtypes of MDs, significant associations of PM pollution with dementia,schizophrenia and depression were observed. Using WHO's air quality guidelines as the reference concentrations, 9.53% (95% CI: 2.67-15.58%), 9.17% (95% CI: 2.91-14.70%) and 6.10% (95% CI: 1.40-10.32%) of HAs for MDs could be attributable to PM 2.5 , PM 10 and PM C , respectively. Our results suggested that PM exposure might be an important trigger of hospitalizations for MDs in Chengdu, China, and account for substantial morbidity burden.
Cite this study APA, Vancouver, BibTeX · download .bib or .ris
APA 7th
Qiu, H., Zhu, X., Wang, L., Pan, J., Pu, X., Zeng, X., et al. (2019). Attributable risk of hospital admissions for overall and specific mental disorders due to particulate matter pollution: A time-series study in Chengdu, China. Environmental research. https://doi.org/10.1016/j.envres.2018.12.019
Vancouver
Qiu H, Zhu X, Wang L, Pan J, Pu X, Zeng X, et al. Attributable risk of hospital admissions for overall and specific mental disorders due to particulate matter pollution: A time-series study in Chengdu, China. Environmental research. 2019. doi:10.1016/j.envres.2018.12.019. PMID: 30594694.
BibTeX
@article{qiu2019-30594694,
author = {Qiu, H. and Zhu, X. and Wang, L. and Pan, J. and Pu, X. and Zeng, X. and Zhang, L. and Peng, Z. and others},
title = {{Attributable risk of hospital admissions for overall and specific mental disorders due to particulate matter pollution: A time-series study in Chengdu, China}},
journal = {Environmental research},
year = {2019},
doi = {10.1016/j.envres.2018.12.019},
pmid = {30594694},
url = {https://doi.org/10.1016/j.envres.2018.12.019}
}
Built from the record alzhub holds for this paper, not looked up. Volume, issue and page numbers are not held in the record. The record's author list ends in “et al.”, so not every author is named. Check the citation against the original before you use it.
Key findings
- The associations of particulate matter (PM) pollution with the morbidity of overall and subtypes of mental disorders (MDs), as well as the corresponding morbidity burden, remain understudied, especially in developing countries.
- PM 2.5 , PM 10 and PM C were significantly associated with elevated risks of MDs hospitalizations.
- We found stronger associations between PM pollution and MDs in males and in cool seasons than in females and in warm seasons.
- For specific subtypes of MDs, significant associations of PM pollution with dementia,schizophrenia and depression were observed.
- Our results suggested that PM exposure might be an important trigger of hospitalizations for MDs in Chengdu, China, and account for substantial morbidity burden.
New to this subject? Start with our plain-English guide: Risk factors, ranked →
Study details
- Participants10,947
- Effect size2.89%; 5.08%; 1.91%
- Evidence strengthLow
How this study scored 53/100
Published in a peer-reviewed journal. Scored zero for study design and randomized / blinded because the record does not state it. We have no data on journal's citation record, times cited, citations per year, impact for its field and year, cited by studies here, still being cited, senior author's track record, institution's track record and multicenter collaboration, so those were left out: it earned 31 of the 58 points we could judge it on, which is 53 out of 100.
| Component | Points | Why |
|---|---|---|
| Journal tier | 7 / 10 | Tier 3 — peer-reviewed journal (Environmental research) |
| Journal's citation record | — / 4 | No journal record from OpenAlex — left out of this score |
| Study design | 0 / 12 | No study design recorded — scores zero, not guessed (not stated in the record — scored 0) |
| Strength of evidence | 1 / 5 | Rated “low” in our summary |
| Peer-review validation | 10 / 10 | Peer-reviewed. Published as an article in a named peer-reviewed journal. |
| How recent | 2 / 5 | 2019 — within 10 year(s) of the newest study here |
| Sample size | 4 / 4 | 10,947 participants |
| Effect reported | 2 / 3 | Effect reported as a number, without an interval or test |
| Studied in people | 3 / 3 | Studied in people (participant count stated) |
| Randomized / blinded | 0 / 2 | No randomization or blinding stated — scores zero (not stated in the record — scored 0) |
| Times cited | — / 7 | No citation count (not found in OpenAlex) — left out of this score |
| Citations per year | — / 5 | No citation count or no year — left out of this score |
| Impact for its field and year | — / 6 | No field-weighted citation impact (OpenAlex has none yet) — left out of this score |
| Cited by studies here | — / 6 | Not yet checked against this library's citation graph — left out of this score |
| Still being cited | — / 4 | No yearly citation counts — left out of this score |
| Senior author's track record | — / 4 | Senior author's record not available — left out of this score |
| Institution's track record | — / 3 | No institution listed in OpenAlex — left out of this score |
| Multicenter collaboration | — / 3 | Institutions not listed — left out of this score |
| Indexed in PubMed | 2 / 2 | Indexed in PubMed (PMID 30594694) |
| Free to read | 0 / 2 | Behind a paywall — scores zero |
| Points | 31 / 58 | Scored on 11 of 20 parts. We have no data for the rest, so they are left out: 31 of the 58 points we could judge it on is 53 out of 100. |
| Total | 53 / 100 | — |
What each of these 20 components measures, and what this score is not →
Read the original
Free copy unknown: no free-copy check has an answer for this record yet. That does not mean it is paywalled.
Related
Studies in the library that share something with this one. The line above each title says what.
Related studies in Risk factors
Also tagged “air”
237 studies in the library carry the topic tag “air”; these are this study's neighbours in a fixed, alphabetical-by-hash tour of them, not the closest in content. All 237 tagged studies.