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Original Article
Cancer incidence among male construction workers in Korea: a standardized incidence ratio analysis, 2009-2015
Soonsu Shin, Woo-Ri Lee, Jin-Ha Yoon, Wanhyung Lee
Epidemiol Health. 2023;45:e2023060.   Published online June 19, 2023
DOI: https://doi.org/10.4178/epih.e2023060
  • 3,509 View
  • 156 Download
AbstractAbstract AbstractSummary PDFSupplementary Material
Abstract
OBJECTIVES
Construction workers face an elevated risk for several types of cancer. Nevertheless, there is a lack of large-scale epidemiological studies examining the risk of all cancers in construction workers. This study aimed to investigate the risk of various cancers in male construction workers using the Korean National Health Insurance Service (NHIS) database.
METHODS
We used data from the NHIS database from 2009 to 2015. Construction workers were identified using the Korean Standard Industrial Classification code. We calculated the age-standardized incidence ratios (SIRs) and 95% confidence intervals (CIs) for cancer occurrence in male construction workers compared to all male workers.
RESULTS
Compared to all male workers, the SIRs for esophageal cancer (SIR, 1.24; 95% CI, 1.07 to 1.42) and malignant neoplasms of the liver and intrahepatic bile ducts (SIR, 1.18; 95% CI, 1.13 to 1.24) were significantly higher in male construction workers. The SIRs for malignant neoplasms of the urinary tract (SIR, 1.19; 95% CI, 1.05 to 1.35) and non-Hodgkin lymphoma (SIR, 1.21; 95% CI, 1.02 to 1.43) were significantly elevated in building construction workers. The SIR for malignant neoplasms of the trachea, bronchus, and lung (SIR, 1.16; 95% CI, 1.03 to 1.29) was significantly higher in heavy and civil engineering workers.
CONCLUSIONS
Male construction workers have an increased risk for esophageal cancer, liver cancer, lung cancer, and non-Hodgkin’s cancer. Our results indicate that tailored strategies for cancer prevention should be developed for construction workers.
Summary
Korean summary
건설 노동자는 작업환경에서 수많은 유해 인자에 노출되지만, 건설 노동자에서 암의 연령 표준화 발생비를 조사한 역학 연구는 부족하다. 이번 연구에서 식도암과 간담도암의 연령 표준화 발생비는 전체 남성 근로자에 비해 남성 건설 근로자에게서 증가하였다. 이러한 결과는 건설 근로자에서 암 위험이 증가했음을 나타내며, 이 직업군에서 암 예방을 위한 추가 연구와 정책이 필요함을 의미한다.
Key Message
Despite the exposure of construction workers to numerous hazardous substances at workplace, epidemiological studies investigating the risk of all cancers in this occupational group are lacking. In this study, the age-standardized incidence ratio of esophageal cancer and hepatobiliary cancers increased in male construction workers compared to all male workers. Our results underscore the increased several cancer risks faced by male construction workers, necessitating the development of tailored strategies for cancer prevention in this occupational group.
COVID-19: Perspective
Magnifying the importance of collecting race, ethnicity, industry, and occupation data during the COVID-19 pandemic
Sai Krishna Gudi, Sophia M. George, Komal Krishna Tiwari
Epidemiol Health. 2021;43:e2021095.   Published online November 6, 2021
DOI: https://doi.org/10.4178/epih.e2021095
  • 8,257 View
  • 73 Download
  • 1 Web of Science
  • 1 Crossref
AbstractAbstract AbstractSummary PDF
Abstract
The contagiousness of coronavirus disease-2019 (COVID-19) led to the imposition of historical lockdowns in various countries. No scientific mind could have made accurate projections of the tremendous impact that COVID-19 would have on nations, communities, and the global-wide economy. Meanwhile, millions of workers have lost their jobs, while healthcare workers are overwhelmed and are reaching a state of mental and physical exhaustion. With the uncontrollable spread, researchers have been working to identify factors associated with COVID-19. In this regard, race, ethnicity, industry, and occupation have been found to be predominant factors of interest. However, unfortunately, the unavailability of such information has been a difficult reality. Since race, ethnicity, and employment are essential social determinants of health and could serve as potential risk-factors for COVID-19, collecting such information may offer important context for prioritising vulnerable groups. Thus, this perspective aims to highlight the importance and need for collecting race, ethnicity, and occupation-related data to track and treat the racial/ethnic groups that have been most strongly affected by the COVID-19 pandemic. Collecting such data will provide valuable insights and help public health officials recognise workplace-related outbreaks and evaluate the odds of various ethnic groups and professions contracting COVID-19.
Summary
Key Message
As essential social determinants of health, collecting and recording the race/ethnicity, occupation and industry information will provide valuable insights and help public health officials identify workplace-related outbreaks and evaluate the odds of various ethnic groups and professions contracting COVID-19.

Citations

Citations to this article as recorded by  
  • Evaluating COVID-19 Risk to Essential Workers by Occupational Group: A Case Study in Massachusetts
    Beth M. Haley, Prasad Patil, Jonathan I. Levy, Keith R. Spangler, Koen F. Tieskens, Fei Carnes, Xiaojing Peng, R. Monina Klevens, T. Scott Troppy, M. Patricia Fabian, Kevin J. Lane, Jessica H. Leibler
    Journal of Community Health.2024; 49(1): 91.     CrossRef
Original Articles
Effect of tobacco outlet density on quit attempts in Korea: a multi-level analysis of the 2015 Korean Community Health Survey
Jaehyung Kong, Sung-il Cho
Epidemiol Health. 2021;43:e2021048.   Published online August 3, 2021
DOI: https://doi.org/10.4178/epih.e2021048
  • 8,928 View
  • 328 Download
  • 2 Web of Science
  • 2 Crossref
AbstractAbstract AbstractSummary PDF
Abstract
OBJECTIVES
This study aimed to examine whether the regional density of tobacco outlets in Korea was associated with the likelihood of attempting to quit among smokers
METHODS
This study was designed as a secondary data analysis of a cross-sectional study. Data from the 2015 Korean Community Health Survey and tobacco outlet registrations in 17 metropolitan cities and provinces with 254 communities in Korea were used for the analysis. In total, 41,013 current smokers (≥19 years of age) were included. Multi-level logistic regression analysis was conducted to investigate regional differences associated with smokers’ attempts to quit and to evaluate the effects of individual and regional characteristics on quit attempts.
RESULTS
Higher tobacco outlet density was associated with lower odds of attempting to quit. Smokers who resided in districts with the highest tobacco outlet density were 18% less likely to attempt quitting (odds ratio, 0.82; 95% confidence interval, 0.70 to 0.98) than smokers who resided in the regions with the lowest tobacco outlet density (intraclass correlation coefficient, 0.030).
CONCLUSIONS
This study showed that quit attempts were related to community-level factors, such as tobacco outlet density, as well as other individual factors. These findings support the implementation of national policies restricting the number of tobacco outlets within communities or zones and limiting tobacco marketing in tobacco outlets.
Summary
Korean summary
본 연구는 2015년 지역사회건강조사에 응답한 19세 이상 현재 흡연자 41,013명을 대상으로 금연 시도와 관련된 개인 수준의 요인과 지역 수준의 요인을 파악하기 위하여 다수준 분석을 실시하였다. 분석결과, 개인 수준의 요인뿐만 아니라 거주하는 지역의 담배소매점 밀집도가 흡연자의 금연 시도와 유의한 관계가 있는 것으로 확인되었다. 흡연조장환경 개선을 위한 담배 공급 감소 노력의 일환으로 지역사회 수준의 담배소매점 관리 정책이 필요하다.
Key Message
This study aimed to investigate whether the environment related to tobacco retailers impacts adult smokers’ attempts to quit smoking, for the first time in South Korea, using nationwide data on tobacco retailers and current smokers. Smokers who resided in districts with the highest tobacco outlet density were 18% less likely to attempt quitting (odds ratio, 0.82; 95% confidence interval, 0.70-0.98) than smokers who resided in the regions with the lowest tobacco outlet density. These findings support the implementation of national policies restricting the number of tobacco outlets within communities or zones and limiting tobacco marketing in tobacco outlets.

Citations

Citations to this article as recorded by  
  • Association between area deprivation index and concerns to COVID-19: A multi-level analysis of individual and area factors
    Doo Woong Lee, Jieun Jang, Jaeyong Shin
    SSM - Population Health.2024; 25: 101580.     CrossRef
  • Use of geographically weighted regression models to inform retail endgame strategies in South Korea: application to cigarette and ENDS prevalence
    Heewon Kang, Eunsil Cheon, Jaeyoung Ha, Sung-il Cho
    Tobacco Control.2023; : tc-2023-058117.     CrossRef
Analysis of the severity of occupational injuries in the mining industry using a Bayesian network
Mostafa Mirzaei Aliabadi, Hamed Aghaei, Omid kalatpuor, Ali Reza Soltanian, Asghar Nikravesh
Epidemiol Health. 2019;41:e2019017.   Published online May 11, 2019
DOI: https://doi.org/10.4178/epih.e2019017
  • 11,496 View
  • 230 Download
  • 11 Web of Science
  • 7 Crossref
AbstractAbstract PDF
Abstract
OBJECTIVES
Occupational injuries are known to be the main adverse outcome of occupational accidents. The purpose of the current study was to identify control strategies to reduce the severity of occupational injuries in the mining industry using Bayesian network (BN) analysis.
METHODS
The BN structure was created using a focus group technique. Data on 425 mining accidents was collected, and the required information was extracted. The expectation-maximization algorithm was used to estimate the conditional probability tables. Belief updating was used to determine which factors had the greatest effect on severity of accidents.
RESULTS
Based on sensitivity analyses of the BN, training, type of accident, and activity type of workers were the most important factors influencing the severity of accidents. Of individual factors, workers’ experience had the strongest influence on the severity of accidents.
CONCLUSIONS
Among the examined factors, safety training was the most important factor influencing the severity of accidents. Organizations may be able to reduce the severity of occupational injuries by holding safety training courses prepared based on the activity type of workers.
Summary

Citations

Citations to this article as recorded by  
  • A fuzzy Bayesian network DEMATEL model for predicting safety behavior
    Mohsen Mahdinia, Iraj Mohammadfam, Ahmad Soltanzadeh, Mostafa Mirzaei Aliabadi, Hamed Aghaei
    International Journal of Occupational Safety and Ergonomics.2023; 29(1): 36.     CrossRef
  • Analysis of occupational accidents among nurses working in hospitals based on safety climate and safety performance: a Bayesian network analysis
    Fakhradin Ghasemi, Hamed Aghaei, Taleb Askaripoor, Farhad Ghamari
    International Journal of Occupational Safety and Ergonomics.2022; 28(1): 440.     CrossRef
  • Retrospective assessment of the association between noise exposure and nonfatal and fatal injury rates among miners in the United States from 1983 to 2014
    Abas Shkembi, Lauren M. Smith, Richard L. Neitzel
    American Journal of Industrial Medicine.2022; 65(1): 30.     CrossRef
  • Contributing effects of individual characteristics, behavioural and job-related factors on occurrence of mining-related injuries: A systematic review
    Michael Mayom Ajith, Apurna Kumar Ghosh, Janis Jansz
    Work.2022; 71(1): 87.     CrossRef
  • Human Error Analysis for Hydraulic Engineering: Comprehensive System to Reveal Accident Evolution Process with Text Knowledge
    Dan Tian, Hao Liu, Shu Chen, Mingchao Li, Chengzhao Liu
    Journal of Construction Engineering and Management.2022;[Epub]     CrossRef
  • Analysis of occupational accidents in Spain using shrinkage regression methods
    Vicente Gallego, Ana Sánchez, Isabel Martón, Sebastián Martorell
    Safety Science.2021; 133: 105000.     CrossRef
  • Research trends in mining accidents study: A systematic literature review
    Siti Noraishah Ismail, Azizan Ramli, Hanida Abdul Aziz
    Safety Science.2021; 143: 105438.     CrossRef
Epidemiologic Characteristics of the Pneumoconiosis Patients in Manufacturing Industries.
Won Chul Lee, Hyeon Woo Yim, Kyung Jae Lee, Se Yong Lee, Kwang Ho Meng, Young Gyu Phee, Hyun Wook Kim, Jung Wan Koo, Young Lim, Im Goung Yun
Korean J Epidemiol. 1998;20(1):141-153.
  • 5,746 View
  • 21 Download
AbstractAbstract PDF
Abstract
Pneumoconiosis was the first reported occupational disease in Korea and was the most common one until 1990. In the past, most pneumoconiosis patients were found among underground workers in various mines. Recently this occupational disease has increasingly affected workers in manufacturing industries such as ship building, briquette, glass, foundry industries, and so on. In order to investigate the scale of pneumoconiosis in manufacturing industries, we evaluated the detailed medical examination records and insurance deliberation data from 1989 until 1994. Information about work history, medical history, and exposure dust type were collected for each member of the study population. All chest X-rays were interpreted and classified using the International Labor Organization(ILO) scale by three radiologist who have had extensive experience evaluation pneumoconiosis. For the calculation of the incidence rate of manufacturing pneumoconiosis, we analyzed the Specific Health Examination data and estimated the population at risk as a denominator of the incidence rate. We divided manufacturing industry into 9 subclasses by industrial classification and estimated the incidence rate of pneumoconiosis per 100,000 workers at risk respectively. The results were as follows, 1. 485 workers were newly diagnosed with pneumoconiosis during 6 years from 1989 to 1994. 482 workers had radiographs consistent with simple pneumoconiosis and three with progressive massive fibrosis. Among those with radiographs consistent with simple pneumoconiosis, 395 workers(81.4%) had category 1 profusion, 76 workers(15.7%) had category 2 profusion and 11 workers(2.3%) had category 3 profusion. 2. Almost all of them were male(97.9%) and their average age was 48.3 uears. Manufacturing pneumoconiosis patients were more common in their forties and fifties. 3. The average duration of dust exposure required for the occurrence of pneumoconiosis was 13.5 years. In the case of metal products manufacturing which is mostly related to welding, the average duration of dust exposure was 12.0 years. It was slightly shorter than other manufacturing industries. The average duration of dust exposure required for the occurrence of pneumoconiosis seemed to be shorter in welding operators, even though the welders lung has a weak tissue reaction and the condition is reversible. 4. According to the Industrial classification, 299 cases(61.6%) were found in workers of non-metal mineral products manufacturing, and 56 cases(11.5%) in basic metals industry. 5. The average annual incidence rate of pneumoconiosis in manufacturing industries from 1990 to 1994 was 56.6 per 100,000 workers at risk. On sub-classification, the average annual incidence rate of pneumoconiosis in non-metal mineral products manufacturing industry was the highest among them, showing 479 per 100,000 workers at risk. 6. Radiologic prevalence rate of tuberculosis in these cases was 6.6%. 7. X-ray category profusion in newly diagnosed manufacturing pneumoconiosis varied according to sub-classification. The proportion of category 1 profusion in metal products manufacturing is higher than that in non-metal mineral products manufacturing. 8. The type pattern of small round opacities varied according to sub-classification in manufacturing industry. In non-metal mineral products manufacturing, the small round opacity were observed 25.9% cases with p type, 72.1% with q type and 2.0% with r type respectively. But in metal products manufacturing, the small round opacity were observed 51.4% cases with p type and 48.6% with q type respectively. The cause might be that the exposed dust is different according to job. 9. The type pattern of small round opacities varied according to dust type. Metal dusts showed similar radiologic shape to the coal dusts, but welding fume showed more frequent p type(60.3%) and less frequent q type(377%). rock dust showed less frequent p types(18.3%) and more frequent q types(75.3%). Since the incidence rate of non-metal manufacturing workers showed higher rate than other manufacturing industry, Preventive measures and health care education should be carefully carried out in these workers.
Summary
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