Evidence map›Paper›PMID 40427783›Full record

ArticleInternational journal of environmental research and public health2025

The Direct Effects of Air Pollutant Exposure from Industrial Complexes on Chronic Respiratory Diseases in Local Residents: A Population-Based Cohort Study.

Ho-Hyun Kim

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
  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

1 author.

Ho-Hyun KimDepartment of Nano-Chemical, Biological and Environmental Engineering, SeoKyeong University, 139, Seogyeong-ro, Seongbuk-gu, Seoul 02717, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

New evidence suggests that industrial areas may have a negative impact on the chronic respiratory disease burden among residents who live more than 10 km away compared to residents who live within at least 5 km. The main cause of air pollution in factories was found to be benzene, and its regional relevance was confirmed. This is the result of many studies confirming that benzene is a substance that directly affects the respiratory system, and we aim to maintain continuous observation in the future. Using South Korean health insurance data, we retrospectively followed a cohort of residents living near a factory and monitored them from 2002 to 2022. The aim of this study was to identify respiratory symptoms, such as cough, sore throat, nasal discomfort, and shortness of breath, as the most common signs of air pollution. The results of the measurements around the factory location (within 1 km) showed a high epidemiological correlation with Hwagok-ri and the village hall due to the high benzene concentration (average high concentration (11 cases) of 0.82 ± 0.46 ppb) at the factory, as well as around the business location (within 1 km) in Dokgot-ri and the village hall (average high concentration (8 cases) of 32.29 ± 19.73). The conclusion is that respiratory diseases are linked to the severity of air pollution in the areas surrounding this industrial complex.

Indexed as

Air PollutantsAir PollutionEnvironmental ExposureRespiratory Tract DiseasesAdultAgedBenzeneChronic DiseaseCohort StudiesFemaleHumansIndustryMaleMiddle AgedRepublic of KoreaRetrospective StudiesAir PollutantsBenzeneair pollutionemission sourcesepidemiological correlationfactoryvillage

Identifiers

PMID40427783
PMCPMC12111558

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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.