Evidence map›Paper›PMID 40595756›Full record

ArticleScientific reports2025

The influence of meteorological factors and air pollution on acute cardiovascular and cerebrovascular events in Western Guizhou.

Xiaoling Xia, Zhengjing Du, Tao Liu, Ke Xu, Chen Yuan

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

5 authors.

Xiaoling XiaGuizhou New Meteorological Technology Co., Ltd, Guiyang, 550002, Guizhou, China.
Zhengjing DuGuizhou Institute of Mountain Meteorological Science, Guiyang, 550008, China. 392131495@qq.com.
Tao LiuGuizhou Institute of Mountain Meteorological Science, Guiyang, 550008, China.
Ke XuGuizhou Meteorological Service Center, Guiyang, 550002, Guizhou, China.
Chen YuanGuizhou New Meteorological Technology Co., Ltd, Guiyang, 550002, Guizhou, China.

Funding

Department of Science and Technology of Guizhou Province Qiankehe Platform KXJZ [2024] 033
6 · The paper itself

Abstract

Cardiovascular and cerebrovascular diseases are critical public health challenges influenced by environmental and meteorological factors. Understanding the association between these factors and disease incidence can provide valuable insights for disease prevention and control.This study analyzed data from Anshun City, western Guizhou, collected between January 2018 and December 2022. A Distributed Lag Non-linear Model (DLNM) was employed to evaluate the lagged and non-linear effects of meteorological variables (e.g., temperature, precipitation, wind speed) and air pollutants (e.g., PM2.5, SO2) on the incidence of cardiovascular and cerebrovascular diseases. Covariates such as seasonality and time trends were included to adjust for confounding effects.The results revealed significant associations between meteorological factors, air pollution, and disease incidence. Increased precipitation and SO2 concentrations significantly elevated the risk of cardiovascular and cerebrovascular diseases, particularly at a lag of 25-30 days (e.g., RR for SO2 = 1.19, 95% CI: 1.10-1.28). Conversely, higher average and maximum wind speeds demonstrated a protective effect (e.g., RR for maximum wind speed = 0.70, 95% CI: 0.62-0.78). Seasonal patterns and temperature variations further influenced disease incidence.These findings highlight the complex interactions between meteorological factors and air pollution in influencing cardiovascular and cerebrovascular disease risk. The study provides evidence for targeted public health interventions and emphasizes the importance of incorporating meteorological and environmental data into disease prevention strategies.

Indexed as

Air PollutionCardiovascular DiseasesCerebrovascular DisordersMeteorological ConceptsAir PollutantsChinaHumansIncidenceParticulate MatterRisk FactorsSeasonsSulfur DioxideTemperatureWeatherAir PollutantsParticulate MatterSulfur DioxideAir pollutionAnshun CityCardiovascular and cerebrovascular diseasesDistributed lag Non-linear model (DLNM)Lagged effectsMeteorological air pollutantsPublic health

Identifiers

PMID40595756
PMCPMC12215929

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Registered trials

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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.