Evidence map›Paper›PMID 37614337›Full record

ArticleAnnals of occupational and environmental medicine2023

Incidence rates of injury, musculoskeletal, skin, pulmonary and chronic diseases among construction workers by classification of occupations in South Korea: a 1,027 subject-based cohort of the Korean Construction Worker's Cohort (KCWC).

Seungho Lee, Yoon-Ji Kim, Youngki Kim, Dongmug Kang, Seung Chan Kim, Se-Yeong Kim

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Annals of occupational and environmental medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07157800 (Effectiveness of Exercises Given Along With Ergonomics Training in Construction Workers), which is not on this map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
0.7field-weighted citation impact, top 31% of its field
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.

NCT07157800 nacompletednot on this mapstarted 2025, after this paper: background citation

Effectiveness of Exercises Given Along With Ergonomics Training in Construction Workers: A Randomized Controlled Trial

TypeinterventionalSponsorUskudar UniversityRan2025 to 2026Enrolled52ConditionsWork-related IllnessArmsergonomics training, exercise + ergonomics training
3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 3 citations in OpenAlex.

  1. Pooled it
  2. Work-Related Asthma: An Occupational Medicine Perspective.Allergy, asthma & immunology research · 2026
    Review
  3. Review
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

6 authors at 2 institutions in 1 country.

Seungho LeeDepartment of Occupational and Environmental Medicine, Pusan National University Yangsan Hospital, Yangsan, Korea.ORCID https://orcid.org/0000-0001-8372-0473
Yoon-Ji KimDepartment of Preventive, and Occupational & Environmental Medicine, School of Medicine, Pusan National University, Yangsan, Korea.ORCID https://orcid.org/0000-0002-8137-8915
Youngki KimDepartment of Occupational and Environmental Medicine, Pusan National University Yangsan Hospital, Yangsan, Korea.ORCID https://orcid.org/0000-0001-7368-4245
Dongmug KangDepartment of Occupational and Environmental Medicine, Pusan National University Yangsan Hospital, Yangsan, Korea.ORCID https://orcid.org/0000-0002-0657-0181
Seung Chan KimDepartment of Biostatistics Cooperation Center, Gyeongsang National University Hospital, Jinju, Korea.ORCID https://orcid.org/0000-0002-9210-9040
Se-Yeong KimDepartment of Occupational and Environmental Medicine, Pusan National University Yangsan Hospital, Yangsan, Korea.ORCID https://orcid.org/0000-0002-1260-494X
Pusan National University Yangsan Hospital · KRGyeongsang National University Hospital · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The objective of this study is to investigate the differences in incidence rates of targeted diseases by classification of occupations among construction workers in Korea. Methods: In a subject-based cohort of the Korean Construction Worker's Cohort, we surveyed a total of 1,027 construction workers. As occupational exposure, the classification of occupations was developed using two axes: construction business and job type. To analyze disease incidence, we linked survey data with National Health Insurance Service data. Eleven target disease categories with high prevalence or estimated work-relatedness among construction workers were evaluated in our study. The average incidence rates were calculated as cases per 1,000 person-years (PY). Results: Injury, poisoning, and certain other consequences of external causes had the highest incidence rate of 344.08 per 1,000 PY, followed by disease of the musculoskeletal system and connective tissue for 208.64 and diseases of the skin and subcutaneous tissue for 197.87 in our cohort. We especially found that chronic obstructive pulmonary disease was more common in construction painters, civil engineering welders, and civil engineering frame mold carpenters, asthma in construction painters, landscape, and construction water proofers, interstitial lung diseases in construction water proofers. Conclusions: This is the first study to systematically classify complex construction occupations in order to analyze occupational diseases in Korean construction workers. There were differences in disease incidences among construction workers based on the classification of occupations. It is necessary to develop customized occupational safety and health policies for high-risk occupations for each disease in the construction industry.

Indexed as

Classification of occupationsIncidence ratesKorean Construction Worker’s Cohort (KCWC)Occupational diseasesSubject-based cohort

Identifiers

PMID37614337
PMCPMC10442585
OpenAlexW4385499542

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

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.