Evidence map›Paper›PMID 38733545›Full record

SynthesisInternational archives of occupational and environmental health2024

Associations between exposure to various air pollutants and risk of metabolic syndrome: a systematic review and meta-analysis.

Changmao Dai, Xiaolan Sun, Liangqing Wu, Jiao Chen, Xiaohong Hu, Fang Ding, Wei Chen, Haiyan Lei, Xueping Li

Abstract readSystematic ReviewMeta-Analysis
PubMed Publisher
In one paragraph

Synthesis in International archives of occupational and environmental health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Occupational particle exposure and diabetes: a cohort study in Swedish construction workers.International archives of occupational and environmental health · 2026
    Article
  8. [Apply the Miettinen Formula to Assess the Health Benefits of the PMSichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition · 2026
    Article
  9. Article
  10. Article
  11. Article
  12. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Changmao DaiHospital of Chengdu University of Traditional Chinese Medicine, Chengdu, 61000, Sichuan Province, China.
Xiaolan SunHospital of Chengdu University of Traditional Chinese Medicine, Chengdu, 61000, Sichuan Province, China.
Liangqing WuHospital of Chengdu University of Traditional Chinese Medicine, Chengdu, 61000, Sichuan Province, China.
Jiao ChenHospital of Chengdu University of Traditional Chinese Medicine, Chengdu, 61000, Sichuan Province, China.
Xiaohong HuHospital of Chengdu University of Traditional Chinese Medicine, Chengdu, 61000, Sichuan Province, China.
Fang DingHospital of Chengdu University of Traditional Chinese Medicine, Chengdu, 61000, Sichuan Province, China.
Wei ChenHospital of Chengdu University of Traditional Chinese Medicine, Chengdu, 61000, Sichuan Province, China.
Haiyan LeiHospital of Chengdu University of Traditional Chinese Medicine, Chengdu, 61000, Sichuan Province, China.
Xueping LiHospital of Chengdu University of Traditional Chinese Medicine, Chengdu, 61000, Sichuan Province, China. 3173907@qq.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMetabolic Syndrome (MetS) is a widely observed metabolic disorder that is increasingly prevalent worldwide, leading to substantial societal consequences. Previous studies have conducted two separate meta-analyses to investigate the relationship between MetS and air pollutants. However, these studies yielded conflicting results, necessitating a thorough systematic review and meta-analysis to reassess the link between different air pollutants and the risk of developing MetS.

methodsWe conducted a comprehensive search of relevant literature in databases including PubMed, Embase, Cochrane Library, and Web of Science up to October 9, 2023. The search was specifically restricted to publications in the English language. Following the screening of studies investigating the correlation between air pollution and MetS, we utilized random-effects models to calculate pooled effect sizes along with their respective 95% confidence intervals (CIs). We would like to highlight that this study has been registered with PROSPERO, and it can be identified by the registration number CRD42023484421.

resultsThe study included twenty-four eligible studies. The results revealed that an increase of 10 μg/m

conclusionThe findings of this study demonstrate a significant association between exposure to fine particulate matter (PM

Indexed as

Air PollutantsEnvironmental ExposureMetabolic SyndromeParticulate MatterAir PollutionHumansRisk FactorsAir PollutantsParticulate MatterAir pollutionEpidemiologyMeta-analysisMetabolic syndrome

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.