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Special Article
Approval status and characteristics of work-related musculoskeletal disorders among Korean workers in 2020
Eun-woo Cha, Sae-mi Jung, Il-ho Lee, Dae Hwan Kim, Eui Hyek Choi, In-ah Kim, Yong-kyu Kim, Kyung-joon Lee, Yang Won Kang, Ho-gil Kim, Young-ki Kim
Ann Occup Environ Med 2022;34:e31.   Published online October 26, 2022
DOI: https://doi.org/10.35371/aoem.2022.34.e31
AbstractAbstract AbstractAbstract in Korean PDFPubReaderePub
Background

This study aimed to investigate the characteristics of work-related musculoskeletal disorders (WRMSDs) in occupational disease claims and identify patterns of WRMSDs for each body part by industry and occupation.

Methods

This study analyzed the raw data of occupational disease claims for musculoskeletal disorders deliberated by the Occupational Disease Decision Committee of the Korea Workers’ Compensation & Welfare Service in 2020. The data was classified into 6 body parts with the highest numbers of occupational disease cases by using the complete enumeration data on principal diagnoses and 4 types of subdiagnoses in the raw data. The characteristics and approval rates of WRMSDs by body part, industry and occupation were examined and summarized.

Results

A total of 13,015 occupational disease cases for WRMSDs were classified, and lumbar spinal (back) diseases accounted for the largest proportion of claimed diseases, followed by shoulder, elbow, wrist, knee, and neck diseases in a descending order. The occupations with the highest and second highest numbers of occupational disease cases by body part were found to be automobile assemblers and production-related elementary workers for the neck, school meal service workers and cooks for the back, construction frame mold carpenters and school meal service workers for the shoulder, elementary workers in mining and food service workers for the elbow, food service workers and automobile parts assemblers for the wrist, and ship welders and school meal service workers for the knee.

Conclusions

This study examined the characteristics and approval status of WRMSDs by body part and occupation. Based on the study results, management strategies for the prevention of WRMSDs should be established regarding occupations with a high risk of WRMSDs for each body part.

업무상 근골격계질환의 2020년 산업재해 승인 현황과 특성
목적
본 연구는 업무 관련 근골격계 질환(WMSD)의 특성과 신체 부위에 따른 업종 및 직종별 WMSD 승인율을 분석하기 위해 실시됐다.
방법
2020년 근로복지공단 업무상질병판정위원회에서 심의된 근골격계질환 신청건의 원자료를 활용하여 분석하였다. 원자료의 주상병과 네가지 부상병 정보 전수를 활용하여, 상병신청건수가 많은 6개의 신체부위로 구분하였다. 각 부위별로 업종 및 직종에 대하여 특성과 승인율을 정리 하였다.
결과
WMSD 신청건수는는 총 13015건이 분류되었고, 이중 요추질환이 가장많았고, 어깨, 팔, 손목, 무릎, 경추 순으로 이어졌다. 부위별로 신청건수가 많았던 직종으로 경추는 자동차조립, 제조관련단순종사원, 요추는 급식조리사, 조리사, 어깨는 건설형틀목공, 급식조리사, 팔은 광업단순종사원, 급식조리사, 손목은 급식조리사, 자동차부품조립, 무릎은 조선용접공, 급식조리사로 조사됐다.
결론
신체 부위별 직종에 따른 WMSD의 특성 및 승인율 등을 살펴보았다. 이러한 결과를 바탕으로 신체 부위별 고위험 직종에 대하여 WMSD 예방을 위한 관리 전략이 수립되어야 한다.

Citations

Citations to this article as recorded by  
  • Self-Esteem Trajectories After Occupational Injuries and Diseases and Their Relation to Changes in Subjective Health: Result From the Panel Study of Workers’ Compensation Insurance (PSWCI)
    Seong-Uk Baek, Won-Tae Lee, Min-Seok Kim, Myeong-Hun Lim, Jin-Ha Yoon, Jong-Uk Won
    Journal of Korean Medical Science.2023;[Epub]     CrossRef
  • Prevalence of work-related musculoskeletal disorders among workers in the automobile manufacturing industry in China: a systematic review and meta-analysis
    Xiongda He, Bin Xiao, Junle Wu, Chunshuo Chen, Wankang Li, Maosheng Yan
    BMC Public Health.2023;[Epub]     CrossRef
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  • 2 Web of Science
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Research Article
Distribution of age, gender, and occupation among individuals with carpal tunnel syndrome based on the National Health Insurance data and National Employment Insurance data
Il-Ho Lee, Young-Ki Kim, Dong-Mug Kang, Se-Yeong Kim, In-Ah Kim, Eun-Mi Kim
Ann Occup Environ Med 2019;31:e31.   Published online November 7, 2019
DOI: https://doi.org/10.35371/aoem.2019.31.e31
AbstractAbstract PDFPubReaderePub
Background

The present study aimed to investigate the basic characteristics of carpal tunnel syndrome (CTS) and its differences between occupations using Korea's National Health Insurance (NHI) and National Employment Insurance (NEI).

Methods

The study participants were obtained from the NEI and NHI data from 2008 to 2015, with a diagnosis code of G560 (CTS) as the main or sub-diagnosis. Data about gender, age, diabetes mellitus, smoking, drinking, and length of employment, information about type of occupation, and number of employees according to age and occupation were obtained from NHI and NEI data. In total, 240 occupations were classified into blue-collar (BC) and white-collar (WC) work. In addition, each occupation was classified as high-risk and low-risk groups depending on the degree of wrist usage.

Results

The number of patients with CTS per 100,000 individuals increased with advancing age, and it was higher in women (4,572.2) than in men (1,798.5). Furthermore, the number was higher in BC workers (3,247.5) than in WC workers (1,824.1) as well as in the high-risk group than in the low-risk group in both BC workers (3,527.8 vs. 1,908.2) and WC workers (1,829.9 vs. 1,754.4). The number of patients with CTS was higher in the high-risk group than in the low-risk group among male and female BC workers and female WC workers. However, the number was higher in the low-risk group among male WC workers. In the BC category, the number of patients with CTS was highest among food processing-related workers (19,984.5). In the WC category, the number of patients with CTS was highest among social workers and counselors (7,444.1).

Conclusions

The results of this study are expected to help identify occupational differences in patterns of CTS. High number of patients with CTS was seen in new jobs, as well as in previous studies.


Citations

Citations to this article as recorded by  
  • Development and validation of a clinical model for predicting the severity of carpal tunnel syndrome
    Behnaz Aalaie, Javad Sadeghi, Tanya Mohammadi, Babak Mohammadi
    Modern Rheumatology.2024; 34(4): 851.     CrossRef
  • Occupational Risk Factor for Carpel Tunnel Syndrome Related to Computer Usage: A Descriptive Cross-Sectional Study
    Tallat Anwar Faridi, Neha Justin, Mishal John, Aman Badar, Naveen Faheem
    THE THERAPIST (Journal of Therapies & Rehabilitation Sciences).2024; : 37.     CrossRef
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    F1000Research.2023; 12: 251.     CrossRef
  • Meta-analysis of the prevalence of Carpal Tunnel Syndrome (CTS) among dental health care personnel
    Deepika Chenna, Medhini Madi, Mathangi Kumar, Vijay Kumar, Sitaram Chopperla, Abhinav Tadikonda, Kalyana Pentapati
    F1000Research.2023; 12: 251.     CrossRef
  • Pathophysiology, Diagnosis, Treatment, and Genetics of Carpal Tunnel Syndrome: A Review
    Mahshid Malakootian, Mahdieh Soveizi, Akram Gholipour, Maziar Oveisee
    Cellular and Molecular Neurobiology.2023; 43(5): 1817.     CrossRef
  • Subjective and Objective Differences in Patients with Unilateral and Bilateral Carpal Tunnel Syndrome and the Role of Obesity in Syndrome Severity
    Robert C Vernick, Colin H Beckwitt, John R Fowler
    Plastic & Reconstructive Surgery.2023;[Epub]     CrossRef
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    Armaghan Dabbagh, Christina Ziebart, Joy C MacDermid, Tara Packham, Ruby Grewal
    BMC Musculoskeletal Disorders.2023;[Epub]     CrossRef
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    Seher Kurtul, Nejdiye Mazican
    International Journal of Occupational Safety and Ergonomics.2023; 29(2): 461.     CrossRef
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    Paloma Moro-López-Menchero, César Fernández-de-las-Peñas, Javier Güeita-Rodríguez, Stella Maris Gómez-Sanchez, Antonio Gil-Crujera, Domingo Palacios-Ceña
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  • An Integrated Review of Carpal Tunnel Syndrome: New Insights to an Old Problem
    Adekunle E Omole, Ayoola Awosika, Anosh Khan, Uzochukwu Adabanya, Nikhilesh Anand, Tirath Patel, Carolyn K Edmondson, Adegbenro O Fakoya, Richard M Millis
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    Defu Dong, Hongwei Liu
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    Ryan Bakker, Mayank Kalra, Sebastian S. Tomescu, Robert Bahensky, Naveen Chandrashekar
    International Journal of Occupational Safety and Ergonomics.2022; 28(3): 1904.     CrossRef
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    Yan Zhang, Xinhua Liu, Jie Jia, Qi Zhang, Yifang Lin, Li Zhang, Qi Lu, Haidong Lv, Xianzhao Zheng
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    Eric B. Battista, Nikhil R. Yedulla, Dylan S. Koolmees, Zachary A. Montgomery, Karthik Ravi, Charles S. Day
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    Mary F. Barbe, Brendan A. Hilliard, Mamta Amin, Michele Y. Harris, Lucas J. Hobson, Geneva E. Cruz, Jocelynne T. Dorotan, Ryan W. Paul, David M. Klyne, Steven N. Popoff
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  • 18 Crossref
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