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HOME > Ann Occup Environ Med > Volume 34; 2022 > Article
Special Article Approval status and characteristics of work-related musculoskeletal disorders among Korean workers in 2020
Eun-woo Cha1orcid, Sae-mi Jung1orcid, Il-ho Lee1orcid, Dae Hwan Kim2orcid, Eui Hyek Choi2orcid, In-ah Kim3orcid, Yong-kyu Kim4orcid, Kyung-joon Lee4orcid, Yang Won Kang5orcid, Ho-gil Kim5orcid, Young-ki Kim1,6orcid
Annals of Occupational and Environmental Medicine 2022;34:e31.
DOI: https://doi.org/10.35371/aoem.2022.34.e31
Published online: October 26, 2022

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Correspondence: Young-ki Kim. Department of Preventive, Occupational & Environmental Medicine, School of Medicine, Pusan National University, 49 Busandaehak-ro, Mulgeum-eup, Yangsan 50612, Korea. mungis@pusan.ac.kr
• Received: March 18, 2022   • Revised: July 11, 2022   • Accepted: September 27, 2022

Copyright © 2022 Korean Society of Occupational & Environmental Medicine

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  • 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.
  • Keywords: Work-related musculoskeletal disorders; Approval status; Occupation; Industry
Musculoskeletal disorders are diseases that occur in the musculoskeletal system, and they are functional disorders resulting from the accumulation of microscopic damage to muscle or tissue. Work-related musculoskeletal disorders (WRMSDs) occur mainly in some parts of the body, such as the lower back, shoulder, elbow, wrist, and knee. They are known to be caused by simple repetitive work motions, uncomfortable work postures, excessive use of force, vibration, touch stress, and thermal conditions as a result of the development of industrial technology and mechanization. The occurrence of WRMSDs affects the physical activities of workers, reducing their quality of life, and also results in the loss of labor due to sickness absence, a decrease in the quality of work, an increase in the compensation costs of industrial accidents, thereby causing many social and economic problems.1,2 With the abolition of the employer seal system in 2018, the number of industrial accident claims, including claims for both work-related accidents and occupational diseases, increased by 29.7% from 113,716 cases in 2017 to 147,512 cases in 2020. Among them, the number of occupational disease claims increased by 87.3% from 5,127 cases in 2017 to 9,601 cases in 2020. In addition, the total number of occupational disease claims for musculoskeletal disorders was 9,601 out of a total of 14,816 occupational disease claim cases in 2020, accounting for 64.8%, so the proportion of musculoskeletal disorders was highest among the total occupational diseases.3,4
However, despite such a high proportion of musculoskeletal disorders, there is a limited amount of statistical data on WRMSDs, and it is difficult to gain information on specific diseases included in WRMSDs and their characteristics. The analysis report on the status of industrial accidents published annually by the Ministry of Employment and Labor provides data on musculoskeletal disorders classified by industry, company size, sex, and age, but the disease classification of the data is limited to 4 categories: physically burdensome tasks, non-accidental back pain, accidental back pain, and carpal tunnel syndrome (CTS). Therefore, it is difficult to get concrete information on the current status of the occurrence of musculoskeletal disorders for each specific disease and for each body part. In addition, in Korea, studies on musculoskeletal disorders have been mostly focused on the prevalence and risk factors of them in some occupations.5,6 Although some studies were conducted using data on occupational disease compensation,7,8 research was limited to specific parts of the body or the characteristics of musculoskeletal disorders by sex were investigated.9 In short, previous studies did not provide an adequate analysis of frequently occurring musculoskeletal disorders by body part or occupations with a high prevalence or a high risk for specific musculoskeletal disorders. A similar situation exists in foreign studies on WRMSDs.10,11
Therefore, this study aimed to investigate WRMSDs as occupational diseases among industrial accidents by using the raw data of occupational disease claims for musculoskeletal disorders reviewed by the Occupational Disease Decision Committee of the Korea Workers’ Compensation and Welfare Service in 2020 in order to identify general characteristics of WRMSDs by industry and occupation, claim diagnoses by body part, and the status of occupational disease cases and the prevalence of WRMSDs by occupation. Through this investigation, this study intended to provide basic data for the prevention of musculoskeletal disorders in consideration of WRMSDs with a high prevalence for each body part and the improvement of the industrial accident compensation system.
Subjects
This study used data of a total of 9,925 claims of musculoskeletal disorders deliberated by the Occupational Disease Decision Committee of the Korea Workers’ Compensation and Welfare Service from January 1 to December 31 in 2020 to investigate the characteristics and approval status of WRMSDs. Total claims were counted based on the date finally determined after deliberation in 2020.
Contents of data
The study data from the Korea Workers’ Compensation and Welfare Service included personal information of industrial accident victims (sex, age, and date of the first medical examination), work-related information (industry name, industry type code, occupation title, occupation type code, and date of employment), disease-related data (names of the principal diagnosis and subdiagnosis of occupational disease cases, and injury site), and data on industrial accident investigation and deliberation (industrial accident investigation report, occupational disease decision report, and approval status).
Reclassification and analysis of data
In order to analyze the characteristics of WRMSDs, data was classified into 6 body parts with the highest numbers of occupational disease cases by using the complete enumeration data on the principal diagnoses and 4 types of subdiagnoses. Regarding the classification of diagnoses, when an individual made an occupational disease claim for a cervical spine disorder alone, it was classified as 1 case of cervical spine disorder. Meanwhile, when an individual filed an occupational disease claim for a total of 4 kinds of diagnoses, including a cervical spine disorder as the principal diagnosis and shoulder impingement syndrome, meniscus tear, and knee osteoarthritis as subdiagnoses, the case was classified as a total of 4 cases of WRMSDs (1 case of cervical spine disorder, 1 case of shoulder disorder, and 2 cases of knee disorder), although one occupational disease claim was made by a single applicant.
The sex, age, and working duration of applicants and the approval rates of occupational disease cases by body part were examined. The types of industries and occupations of the 2020 raw data from the Korea Workers’ Compensation and Welfare Service were described according to the occupation codes of the industrial accident compensation insurance and the 7th Korean Standard Classification of Occupations. In this study, industry types were analyzed using the industry type data of the raw data. However, in the case of types of occupations, the occupation classification method used by the Korea Workers’ Compensation and Welfare Service has some limitations in that it does not reflect tasks performed by workers and the contents of jobs because occupations have been classified based on the types of industries and occupations of employer companies. In addition, since there were cases of misclassification, industrial accident investigation reports and occupational disease decision reports were checked one by one to reclassify occupational titles according to the actual jobs of applicants, and this reclassified data was used to analyze occupations. However, if classification is conducted by more than one person, there may be differences in classification criteria, so an occupational and environmental medicine physician performed classification according to a single classification criterion, and when a worker performed multiple jobs, classification was made using the job that had the longest working duration and was most closely related to the onset of disease. The working duration was defined as the period of employment for the reclassified job contents. The frequency, approval rate, and average working duration were examined in top 20 occupations with the highest numbers of occupational disease cases regarding 2 WRMSDs with the highest and second highest numbers of cases for each body part.
Ethics statement
This study used only a de-identified database disclosed to the public without personal identification information; therefore, neither approval by the Institutional Review Board nor obtainment of the informed consent is necessary.
General characteristics and approval status of occupational disease claims
Occupational disease claims for WRMSDs 9,925 deliberated by the Occupational Disease Decision Committee of the Korea Workers’ Compensation and Welfare Service in 2020 were reclassified according to body parts, and the analysis results of the reclassified data are shown in Table 1. A total of 13,015 cases were classified and analyzed. With respect to body parts affected by WRSMDs, lumbar spine diseases (a total of 4,155 cases) accounted for the largest proportion, followed by the shoulder, elbow, wrist, knee, and cervical spine diseases. Regarding the sex distribution of applicants, the proportion of males (76.6%) was higher than that of females, and the number of males was about 3–4.5 times higher than that of females. The mean age of the total applicants was 52.5 years, and in relation to the age distribution of applicants for each body part, overall, the number of cases increased with the increase of age. In the case of shoulder diseases, people aged 60 to 69 accounted for almost half of the applicants, but for diseases of other body parts, people aged 50 to 59 made up the largest proportion. In terms of working duration, the number of cases increased with the decrease of working duration, showing an inversely proportional relation. However, when working duration exceeded 30 years, the number of cases started to increase again, so the number of cases according to working duration showed a reverse J-shaped distribution. The average working duration of the total applicants was 142.6 months, a period close to 12 years, and the approval rate of a total of 13,015 cases was 66.2%, showing that more than half of the cases were approved.
Table 1

The characteristics of work-related musculoskeletal diseases by the parts of the body

Variables Categories Neck Back Shoulder Elbow Wrist Knee Total
Total 704 4,155 3,820 1,770 1,408 1,158 13,015
Sex Male 575 (81.7) 3,447 (83.0) 3,016 (79.0) 1,360 (76.8) 771 (54.8) 818 (70.6) 9,987 (76.7)
Female 129 (18.3) 708 (17.0) 804 (21.0) 410 (23.2) 637 (45.2) 340 (29.4) 3,028 (23.3)
Age (year) 20–30 4 (0.6) 178 (4.3) 20 (0.5) 15 (0.8) 146 (10.4) 18 (1.6) 381 (2.9)
30–40 55 (7.8) 599 (14.4) 153 (4.0) 149 (8.4) 278 (19.7) 109 (9.4) 1,343 (10.3)
40–50 166 (23.6) 1,006 (24.2) 570 (14.9) 544 (30.7) 346 (24.6) 226 (19.5) 2,858 (22.0)
50–60 261 (37.1) 1,311 (31.6) 1,336 (35.0) 604 (34.1) 429 (30.5) 431 (37.2) 4,372 (33.6)
> 60 218 (31.0) 1,061 (25.5) 1,741 (45.6) 458 (25.9) 209 (14.9) 374 (32.3) 4,061 (31.2)
Average age (year) 53.8 ± 9.7 50.3 ± 10.4 56.8 ± 9.1 52.3 ± 9.4 46.6 ± 11.8 53.3 ± 10.1 52.5 ± 8.7
WD (year) 0–5 177 (25.1) 1,704 (41.0) 880 (23.0) 495 (28.0) 624 (44.3) 254 (21.9) 4,134 (31.8)
5–10 132 (18.8) 832 (20.0) 920 (24.1) 310 (17.5) 316 (22.4) 255 (22.0) 2,765 (21.2)
10–15 105 (14.9) 632 (15.2) 719 (18.8) 337 (19.0) 198 (14.1) 246 (21.2) 2,237 (17.2)
15–20 107 (15.2) 401 (9.7) 423 (11.1) 200 (11.3) 126 (8.9) 140 (12.1) 1,397 (10.7)
20–25 57 (8.1) 236 (5.7) 240 (6.3) 124 (7.0) 64 (4.5) 80 (6.9) 801 (6.2)
25–30 58 (8.2) 151 (3.6) 204 (5.3) 101 (5.7) 41 (2.9) 56 (4.8) 611 (4.7)
> 30 68 (9.7) 199 (4.8) 434 (11.4) 203 (11.5) 39 (2.8) 127 (11.0) 1,070 (8.0)
Average WD (month) 167.2 ± 125.1 119.7 ± 102.2 161.3 ± 123.7 158.1 ± 131.0 101.0 ± 72.0 161.35 ± 118.8 142.65 ± 112.4
Median WD (month) 135 88 129 128 72 132 113
AR (%) 34.2 55.6 78.5 77.4 65.3 62.8 65.8
Categorical data presented as number (%); continuous data presented as mean ± standard deviation
WD: working duration; AR: approval rate.
Approval status of occupational disease cases by body part and industry
Table 2 shows the analysis results of occupational disease cases for each body part by industry. For most parts of the body, the number of occupational disease cases was highest in the manufacturing industry, and only the number of occupational disease cases for the wrist was higher in other industries. Since the number of occupational disease cases of the manufacturing industry was highest for most body parts, the approval rates for each body part in the manufacturing industry were also similar or higher than the average approval rates for each body part. The construction industry had the third highest number of occupational disease cases, making up 14% of the total number of occupational disease cases, but this type of industry showed the highest approval rate in comparison with other industries. With respect to approval rates by body part, approval rates for shoulder and elbow disorders were 78.5% and 77.4%, respectively, higher than the average approval rate, and approval rates for the diseases of the neck (cervical spine) and the lower back (lumbar spine), 2 spinal regions, were 34.2% and 56.8%, respectively, lower than the average approval rate. The analysis results of the approval status of occupational disease cases by body part are shown in Table 3.
Table 2

The work-related musculoskeletal diseases by the type of industry

Industries Neck Back Shoulder Elbow Wrist Knee Total
Cases AR (%) Cases AR (%) Cases AR (%) Cases AR (%) Cases AR (%) Cases AR (%) Cases AR (%)
Manufacturing 371 (52.7) 39.6 1,727 (41.6) 58.5 1,663 (43.5) 80.4 833 (47.1) 83.1 602 (42.8) 72.1 511 (44.1) 72.6 5,707 (43.4) 69.9
Others 172 (24.4) 20.9 1,404 (33.8) 49.4 1,089 (28.5) 69.4 519 (29.3) 69.1 623 (44.2) 60.8 358 (30.9) 39.1 4,165 (31.7) 56.7
Construction 84 (11.9) 56.0 590 (14.2) 65.7 714 (18.7) 91.9 211 (11.9) 84.7 90 (6.4) 70.0 182 (15.7) 83.0 1,871 (14.2) 79.3
Transportation and storage 51 (7.2) 15.7 320 (7.7) 51.9 156 (4.1) 75.9 72 (4.1) 63.4 54 (3.8) 42.6 43 (3.7) 65.1 696 (5.3) 55.9
Mining and quarrying 23 (3.3) 13.0 80 (1.9) 37.5 170 (4.5) 61.5 123 (6.9) 70.0 29 (2.1) 48.3 55 (4.7) 56.4 480 (3.6) 56.0
Agriculture 1 (0.1) 0.0 24 (0.6) 70.6 12 (0.3) 91.7 4 (0.2) 50.0 4 (0.3) 75.0 4 (0.3) 75.0 49 (0.4) 73.4
Financial and insurance activities 2 (0.3) 0.0 6 (0.1) 50.0 2 (0.1) 50.0 5 (0.3) 60.0 3 (0.2) 33.3 18 (0.1) 44.4
Forestry 9 (0.2) 100.0 2 (0.1) 100.0 3 (0.2) 100.0 3 (0.3) 66.7 17 (0.1) 94.1
Fishing and aquaculture 2 (0.0) 100.0 3 (0.1) 66.7 2 (0.2) 50.0 7 (0.1) 71.4
Electricity, gas, steam and air conditioning supply 2 (0.0) 100.0 2 (0.1) 100.0 1 (0.1) 100.0 5 (0.0) 100.0
Total 704 34.2 4,155 55.6 3,820 78.5 1,770 77.4 1,408 65.3 1,158 62.8 13,155 65.8
Categorical data presented as number(%)
AR: approval rate.
Table 3

The work-related musculoskeletal diseases by the parts of the body

Variables Categories Cases AR (%) Total
Neck Herniated intervertebral disc 556 (79.0) 33.6 704
Spinal stenosis 94 (13.4) 37.2
Others 54 (7.7) 35.2
Back Herniated intervertebral disc 2,468 (59.4) 57.5 4,155
Sprain 718 (17.3) 57.0
Spinal stenosis 621 (14.9) 58.6
Spondylolisthesis 186 (4.5) 48.4
Others 162 (3.9) 48.8
Shoulder Rotator cuff syndrome 2,702 (70.7) 79.7 3,820
Impingement syndrome 452 (11.8) 82.5
Labral tear 131 (3.4) 76.3
Tendinitis 110 (2.9) 74.5
Others 425 (11.1) 68.2
Elbow Lateral epicondylitis 920 (52.0) 82.2 1,770
Medial epicondylitis 283 (16.0) 73.9
Tendon tear 198 (11.2) 80.8
Osteoarthritis 79 (4.5) 75.9
Ulnar neuropathy 74 (4.2) 73.0
Sprain 49 (2.8) 57.1
Synovitis 31 (1.8) 74.2
Others 136 (7.6) 58.8
Wrist Carpal tunnel syndrome 452 (32.1) 71.5 1,408
Triangular fibrocartilage complex injury 232 (16.5) 66.8
De ouervain syndrome 120 (8.5) 78.3
Ulnar impaction syndrome 94 (6.7) 73.4
Sprain 93 (6.6) 55.9
Synovitis 78 (5.5) 72.5
Tendinitis 58 (4.1) 56.9
Ganglion 54 (3.8) 53.7
Osteoarthritis 52 (3.7) 42.3
Tenosynovitis 36 (2.6) 80.6
Others 139 (9.9) 46.4
Knee Tear of meniscus 548 (47.3) 68.0 1,158
Osteoarthritis 324 (28.0) 64.0
Sprain 36 (3.1) 68.5
Ligament injury 34 (2.9) 43.3
Others 36 (3.1) 44.7
Categorical data presented as number (%).
AR: approved rate.
Approval status of occupational diseases cases by body part and occupation
With respect to top 2 occupational diseases for each body part among cases of occupational disease cases, top 20 occupations with the highest numbers of occupational disease cases, approval rates and the average working duration were examined.
In the case of disorders of the neck or cervical spine, occupational disease cases for herniated intervertebral disc and cervical spinal stenosis were analyzed, and occupations with a high number of occupational disease cases were production-related elementary workers, automobile assemblers, and clerks. Regarding the approval rates for herniated intervertebral disc, occupations with a high approval rate were ship welders (61.6%), construction frame mold carpenters (60.0%), and automobile assembly/chassis/parts assembly/modification workers (46.7%). The approval rates of production-related elementary workers and clerks were 19.4% and 13.0%, respectively, showing lower approval rates compared to the number of occupational disease cases.
As for lumbar spine disorders, occupational disease cases for herniated intervertebral disc and lumbar spinal stenosis were analyzed, and it was found that occupations with the highest numbers of occupational disease cases were school meal service workers, cooks, construction frame mold carpenters, ship welders, and carers. Regarding approval rates, approval rates for herniated intervertebral disc were 78.9% in construction frame mold carpenters, 77.5% in general welders, and 74.1% in ship welders, showing higher approval rates than the average approval rate for the total lumbar spine disorders. Although a high number of occupational disease cases were made by cooks and careers, these occupations showed low approval rates of 46.3% and 48.8%, respectively.
As to shoulder diseases, occupational disease cases for rotator cuff tear and shoulder impingement syndrome were analyzed. The occupations with the highest number of occupational disease cases were construction frame mold carpenters, school meal service workers, elementary workers in mining, and cooks. The approval rates were as high as 94.4% in construction frame mold workers, 88.4% in ship welders, and 86.0% in school meal service workers. The approval rates of cooks and building cleaners were 68.5% and 65.1%, respectively, showing lower values than the average approval rate.
In the case of elbow disorders, occupational disease cases for lateral epicondylitis and medial epicondylitis were examined. The occupations with a high number of occupational disease cases were elementary workers in mining, school meal service workers, cooks of general restaurants, and loading and lifting elementary workers. The occupations with a high approval rate were construction frame mold carpenters and automobile parts assemblers. Although elementary workers in mining showed the highest number of occupational disease cases (104 cases), this occupation had a lower approval rate than the average approval rate for the elbow region.
Regarding wrist diseases, occupational disease cases for CTS and triangular fibrocartilage complex injury were examined. The occupations with a high number of occupational disease cases for these disorders were school meal service workers, cooks, automobile parts assemblers, and automobile assemblers. The approval rate tended to be high in automobile assemblers and loading and lifting elementary workers as well as food-related fields, such as school meal service workers and food processing industry.
In the case of knee diseases, occupational disease cases for meniscus tear and knee osteoarthritis were analyzed, and occupations with a high number of occupational disease cases were ship welders, school meal service workers, ship painters, and elementary workers in mining. Occupations related to ship building showed a very high approval rate with 100% for ship painters and 93.2% for ship welders (Tables 4, 5, 6, 7, 8, 9).
Table 4

The top 20 occupations with the highest numbers of WRMSDs in neck

Occupations Total cases Cervical HIVD Cervical canal stenosis
Cases AR (%) Average WD (month) Cases AR (%) Average WD (month)
Automobile assemblers 36 30 46.7 220.3 ± 120.1 6 66.7 275.5 ± 122.3
Production related elementary workers 35 31 19.4 109.2 ± 105.5 4 50.0 224.0 ± 136.4
Clerks 29 23 13.0 91.5 ± 100.5 6 0.0 162.8 ± 157.3
Elementary workers in mining 22 21 9.5 294.2 ± 95.3 1 0.0 354.0
Welders in shipyard 21 18 61.1 274.2 ± 124.9 3 33.3 203.0 ± 144.9
Metal processing machine operators 20 19 42.1 156.8 ± 112.1 1 100.0 113.0
Loading and lifting elementary workers 19 17 17.6 83.8 ± 56.3 2 50.0 176.0 ± 75.0
Cooks 18 15 20.0 90.8 ± 83.4 3 33.3 142.7 ± 152.7
Health and medical related workers 16 13 30.8 69.0 ± 66.2 3 33.3 77.3 ± 95.6
Bus drivers 16 13 15.4 177.5 ± 75.9 3 0.0 124.3 ± 76.5
Other automobile drivers 14 12 0.0 151.7 ± 96.7 2 0.0 265.5 ± 160.5
Frame mold carpenters in construction 13 10 60.0 106.2 ± 71.4 3 66.7 118.3 ± 81.8
Building cleaners 12 10 0.0 48.9 ± 42.2 2 0.0 25.5 ± 7.8
School & company meal service workers 12 11 18.2 163.5 ± 69.3 1 0.0 160.0
Forklift operators 11 10 50.0 181.1 ± 146.4 1 0.0 240.0
Tire production workers 11 8 62.5 263.9 ± 103.0 3 66.7 295.0 ± 62.5
Grinders in shipyard 11 8 62.5 235.1 ± 126.3 3 33.3 227.0 ± 102.8
Automobile parts assemblers 10 8 50.0 160.6 ± 108.6 2 0.0 127.5 ± 173.2
Signalmen in shipyard 10 9 22.2 251.7 ± 140.4 1 0.0 130.0
Automobile painters 10 9 33.3 221.1 ± 110.3 1 0.0 309.0
Continuous data presented as mean ± standard deviation.
WRMSD: work-related musculoskeletal disorder; HIVD: herniated intervertebral disc; AR: approved rate; WD: working duration.
Table 5

The top 20 occupations with the highest numbers of WRMSDs in back

Occupations Total cases Lumbar HIVD Lumbar sprain
Cases AR (%) Average WD (month) Cases AR (%) Average WD (month)
School & company meal service workers 114 85 67.1 121.5 ± 72.3 29 65.5 108.9 ± 85.6
Cooks 85 67 46.3 53.6 ± 68.9 18 55.6 49.8 ± 86.1
Frame mold carpenters in construction 75 57 78.9 113.6 ± 119.7 18 77.8 93.4 ± 55.9
Welders in shipyard 60 58 74.1 178.8 ± 102.1 2 50.0 184.0 ± 45.3
Licensed caregivers 60 43 48.8 50.7 ± 52.9 17 47.1 45.6 ± 40.7
Welders in manufacturing 55 40 77.5 90.1 ± 75.0 15 80.0 85.8 ± 77.8
Garbage collectors 53 35 65.7 108.9 ± 102.9 18 61.1 86.2 ± 86.5
Automobile assemblers 49 36 58.3 194.2 ± 99.9 13 38.5 191.5 ± 119.1
Plumbers in construction 46 36 66.7 100.3 ± 76.2 10 70.0 97.0 ± 53.2
Elementary workers in construction 44 36 58.3 38.6 ± 48.7 8 50.0 21.8 ± 37.2
Production related elementary workers 43 35 48.6 48.5 ± 61.6 8 37.5 37.8 ± 46.0
Fit-up workers in shipyard 42 35 74.3 206.1 ± 124.7 7 71.4 166.3 ± 111.0
Building cleaners 42 34 44.1 75.8 ± 60.2 8 37.5 76.9 ± 90.4
Bus drivers 41 35 48.6 150.9 ± 90.9 6 50.0 96.8 ± 106.4
Building equipment operators 36 29 37.9 117.0 ± 98.0 7 42.9 61.0 ± 24.2
Equipment, machine operating workers 35 25 68.0 159.2 ± 119.4 10 50.0 142.1 ± 113.6
Elementary workers in mining 31 30 50.0 224.6 ± 130.6 1 0.0 8.0
Electricians in construction 31 24 66.7 101.0 ± 117.6 7 85.7 111.6 ± 119.6
Store sales workers 29 19 63.2 99.0 ± 62.1 10 50.0 73.8 ± 59.8
Waste collectors 25 22 59.1 66.8 ± 51.5 3 33.3 298.0 ± 161.7
Continuous data presented as mean ± standard deviation.
WRMSD: work-related musculoskeletal disorder; HIVD: herniated intervertebral disc; AR: approved rate; WD: working duration.
Table 6

The top 20 occupations with the highest numbers of WRMSDs in shoulder

Occupations Total cases Rotator cuff syndrome Shoulder impingement syndrome
Cases AR (%) Average WD (month) Cases AR (%) Average WD (month)
Frame mold carpenters in construction 185 180 94.4 117.4 ± 66.6 5 80.0 104.2 ± 70.3
School & company meal service workers 167 143 86.0 149.4 ± 83.6 24 95.8 161.0 ± 69.6
Welders in shipyard 126 86 88.4 291.2 ± 140.0 40 90.0 324.3 ± 138.3
Elementary workers in mining 109 83 73.5 283.5 ± 126.3 26 76.9 299.2 ± 140.2
Cooks 105 92 68.5 89.7 ± 90.7 13 69.2 63.5 ± 48.6
Automobile assemblers 69 51 86.3 255.3 ± 122.7 18 88.9 236.8 ± 103.6
Garbage collectors 66 57 86.0 121.8 ± 85.4 9 100.0 93.1 ± 43.7
Building cleaners 64 63 65.1 81.9 ± 58.6 1 0.0 128.0
Licensed caregivers 58 51 70.6 72.0 ± 45.2 7 57.1 36.0 ± 29.4
Plasters 57 53 100.0 142.3 ± 62.7 4 100.0 181.8 ± 151.8
Painters in shipyard 55 35 85.7 169.3 ± 98.7 20 90.0 204.2 ± 146.9
Automobile mechanics 54 49 98.0 205.3 ± 110.3 5 100.0 138.8 ± 106.4
Waste collectors 54 48 91.7 131.0 ± 68.5 6 100.0 110.6 ± 67.7
Fit-up workers in shipyard 52 38 84.2 270.1 ± 136.8 14 100.0 312.6 ± 131.9
Tire production workers 49 39 89.7 296.1 ± 83.6 10 90.0 189.2 ± 111.1
Automobile parts assemblers 40 32 81.3 239.9 ± 110.4 8 87.5 168.0 ± 117.9
Welders in manufacturing 38 34 91.2 161.9 ± 111.2 4 100.0 237.5 ± 158.0
Plumbers in construction 37 35 85.7 123.8 ± 86.0 2 100.0 92.0 ± 2.8
Grinders in shipyard 37 25 100.0 145.6 ± 91.4 12 91.7 114.8 ± 108.6
Metal processing machine operators 37 35 91.4 171.2 ± 120.9 2 50.0 178.5 ± 205.8
Continuous data presented as mean ± standard deviation.
WRMSD: work-related musculoskeletal disorder; AR: approved rate; WD: working duration.
Table 7

The top 20 occupations with the highest numbers of WRMSDs in elbow

Occupations Total cases Lateral epicondylitis Medial epicondylitis
Cases AR (%) Average WD (month) Cases AR (%) Average WD (month)
Elementary workers in mining 104 79 65.8 315.1 ± 126.1 25 68.0 303.1 ± 122.6
School & company meal service workers 56 35 85.7 128.1 ± 78.3 21 85.7 132.7 ± 74.2
Cooks 53 42 85.7 62.2 ± 57.3 11 81.8 78.6 ± 47.5
Welders in shipyard 45 36 86.1 251.0 ± 135.0 9 77.8 245.6 ± 78.0
Loading and lifting elementary workers 45 34 82.4 85.6 ± 79.8 11 72.7 45.7 ± 67.5
Automobile parts assemblers 41 31 93.5 172.3 ± 117.1 10 100.0 204.8 ± 86.7
Automobile assemblers 37 28 85.7 208.0 ± 87.1 9 88.9 201.2 ± 105.9
Frame mold carpenters in construction 29 20 95.0 128.4 ± 84.9 9 66.7 120.8 ± 73.1
Store sales workers 28 22 81.8 79.4 ± 56.6 6 66.7 82.4 ± 59.3
Fit-up workers in shipyard 26 22 81.8 222.6 ± 143.4 4 75.0 278.3 ± 138.8
Tire production workers 25 19 100.0 243.1 ± 105.2 6 100.0 198.8 ± 59.6
Garbage collectors 21 15 100.0 105.0 ± 67.1 6 100.0 79.8 ± 64.8
Welders in manufacturing 20 16 93.8 138.1 ± 96.1 4 75.0 94.0 ± 68.5
Grinders in shipyard 19 13 100.0 169.8 ± 74.3 6 100.0 127.2 ± 40.1
Building cleaners 19 12 91.7 51.0 ± 51.2 7 71.4 74.4 ± 48.4
Automobile mechanics 18 13 100.0 223.2 ± 112.0 5 100.0 159.6 ± 99.3
Product transporter 16 10 90.0 97.4 ± 85.2 6 50.0 73.8 ± 57.1
Elementary workers in construction 15 14 100.0 54.2 ± 76.7 1 100.0 8.0
Catering service workers 14 11 90.9 33.9 ± 24.4 3 100.0 30.7 ± 12.4
Meat processors 13 9 100.0 79.6 ± 60.2 4 75.0 76.0 ± 53.6
Continuous data presented as mean ± standard deviation.
WRMSD: work-related musculoskeletal disorder; AR: approved rate; WD: working duration.
Table 8

The top 20 occupations with the highest numbers of WRMSDs in wrist

Occupations Total cases Carpal tunnel syndrome TFCC injury
Cases AR (%) Average WD (month) Cases AR (%) Average WD (month)
School & company meal service workers 62 52 92.3 139.8 ± 68.8 10 90.0 118.3 ± 49.7
Cooks 59 43 62.8 60.4 ± 65.1 16 68.8 55.4 ± 54.2
Automobile parts assemblers 26 19 57.9 140.8 ± 120.5 7 85.7 193.7 ± 124.0
Automobile assemblers 25 7 85.7 197.9 ± 80.1 18 88.9 176.4 ± 80.4
Food processing workers 23 17 70.6 82.9 ± 73.6 6 50.0 39.3 ± 39.2
Elementary workers in mining 18 12 41.7 218.8 ± 110.0 6 66.7 261.0 ± 103.9
Catering service workers 16 12 91.7 69.5 ± 75.6 4 25.0 28.0 ± 19.3
Kitchen helpers 16 13 84.6 66.3 ± 45.8 3 33.3 25.0 ± 20.0
Clerks 15 10 10.0 131.1 ± 62.8 5 40.0 124.0 ± 115.6
Loading and lifting elementary workers 15 8 100.0 55.0 ± 53.8 7 28.6 20.0 ± 15.1
Store sales workers 15 7 100.0 83.9 ± 74.5 8 75.0 91.6 ± 79.7
Production related elementary workers 14 12 75.0 104.4 ± 82.7 2 50.0 105.5 ± 132.2
Hand packers 14 11 81.8 109.9 ± 87.5 3 66.7 87.7 ± 62.5
Painters in shipyard 10 10 70.0 166.5 ± 76.2 0 0.0
Welders in shipyard 8 4 100.0 111.3 ± 70.4 4 100.0 173.0 ± 158.8
Building cleaners 7 7 57.1 128.4 ± 86.8 0 0.0
Frame mold carpenters in construction 7 6 83.3 113.7 ± 64.7 1 100.0 58.0
Automobile mechanics 7 3 100.0 370.0 ± 17.3 4 75.0 203.3 ± 145.3
Dental hygienists 6 5 100.0 77.2 ± 3.8 1 0.0 64.0
Metal processing machine operators 6 5 60.0 106.4 ± 64.3 1 100.0 308.0
Continuous data presented as mean ± standard deviation
WRMSD: work-related musculoskeletal disorder; TFCC: triangular fibrocartilage complex; AR: approved rate; WD: working duration.
Table 9

The top 20 occupations with the highest numbers of WRMSDs in knee

Occupations Total cases Tear of meniscus Knee osteoarthritis
Cases AR (%) Average WD (month) Cases AR (%) Average WD (month)
Welders in shipyard 57 44 93.2 248.4 ± 129.8 13 69.2 304.2 ± 123.5
School & company meal service workers 47 35 51.4 132.3 ± 73.1 12 41.7 161.0 ± 75.4
Painters in shipyard 36 19 100.0 154.1 ± 90.8 17 82.4 162.7 ± 84.9
Elementary workers in mining 36 13 69.2 311.9 ± 124.9 23 43.5 297.8 ± 112.2
Building cleaners 31 18 27.8 90.0 ± 54.8 13 38.5 106.0 ± 57.2
Construction related technical workers 30 19 78.9 81.3 ± 56.5 11 81.8 112.9 ± 63.7
Frame mold carpenters in construction 29 19 100.0 142.9 ± 86.7 10 100.0 149.4 ± 67.7
Product transporter 22 18 83.3 134.9 ± 151.5 4 75.0 149.7 ± 138.4
Fit-up workers in shipyard 19 18 94.4 267.0 ± 117.3 1 100.0 294.7 ± 97.3
Cooks 18 13 30.8 80.8 ± 76.9 5 20.0 95.1 ± 81.1
Garbage collectors 18 15 60.0 122.8 ± 101.9 3 100.0 163.0 ± 131.3
Grinders in shipyard 17 17 100.0 135.2 ± 90.0 0 0.0
Licensed caregivers 16 15 33.3 72.6 ± 42.4 1 0.0 33.0
Welders in manufacturing 15 11 90.9 173.4 ± 112.5 4 75.0 159.2 ± 123.0
Other automobile workers 15 13 30.8 176.7 ± 112.6 2 50.0 205.7 ± 110.6
Plasters 12 6 66.7 104.3 ± 58.8 6 83.3 134.6 ± 63.5
Plumbers in shipyard 11 10 90.0 285.7 ± 138.0 1 100.0 359.0
Ship rig assemblers 10 7 100.0 318.7 ± 122.0 3 66.7 250.0 ± 158.5
Other shipyard workers 10 7 85.7 318.4 ± 130.9 3 66.7 311.9 ± 141.8
Construction stonemasons 7 3 100.0 120.1 ± 114.0 4 100.0 122.5 ± 109.4
Continuous data presented as mean ± standard deviation.
WRMSD: work-related musculoskeletal disorder; AR: approved rate; WD: working duration.
Analysis results showed that the proportion of men (76.7%) was higher than that of women (23.3%), and people aged 50 or older (61.3%) accounted for the majority of applicants. Regarding the working duration of applicants, the number of occupational disease cases was high during the first 5 years of employment, and decreased thereafter. However, when the working duration exceeded 30 years, the number of occupational disease cases started to increase again, so the number of occupational disease cases according to the working duration showed a reverse J-shaped distribution. A high number of occupational disease cases among people with a short working duration is thought to reflect the characteristics of diseases. In other words, since the development of medial or lateral epicondilitis, CTS, tendonitis or tendinitis does not take a lot of time, these diseases may occur in people with a short working duration. In addition, early occupational disease cases by workers with a short working duration may also be related to the fact that large corporations or workplaces with a labor union have a relatively freer atmosphere regarding the application for industrial accident compensation than small and medium-sized enterprises or workplaces without a labor union. Meanwhile, an increase in the number of occupational disease cases among people with 30 or more years of working duration is presumed to be due to the fact that workers tend to put off making an occupational disease claim and apply for compensation immediately before and after retirement (Fig. 1).
Fig. 1

Number of cases according to working duration.

aoem-34-e31-g001.jpg
In terms of body parts related to occupational disease cases, lumbar spine diseases took up the largest proportion with 4,155 cases, followed by shoulder diseases. In the case of cervical spine diseases, herniated intervertebral disc was most common, and the approval rate for it was 33.6%, which was lower than the average approval rate of total occupational disease cases. The incidence of neck pain has been reported to be high among clerks, computer workers, workers in manufacturing, and healthcare workers.12 In agreement with these findings, the results of this study showed that the number of occupational disease cases for neck pain was higher in manufacturing workers, such as automobile assemblers and ship welders, and clerks. A National Institute for Occupational Safety & Health study presented posture as strong evidence of work-relatedness,13 and other previous studies also reported that poor posture significantly increases the risk.14,15 In this study, occupations such as ship welders, construction frame mold carpenters, and automobile assemblers showed a higher approval rate than the average approval rate, and it is well known that these occupations are related to improper neck postures.
Among lumbar spine diseases, lumbar herniated intervertebral disc took up the highest percentage, and the approval rate was 57.5%, a lower rate than the average approval rate of total occupational disease cases. Herniated intervertebral disc occurs most frequently among people aged 30–50, relatively younger age groups.16 In this study, the mean age of applicants of occupational disease cases for lumbar spinal disorders was 50.3 years. Although it was the second lowest value after the mean age for the wrist, it is difficult to make a direct comparison of mean ages between body parts because it is difficult to consider the mean age as the time of onset of disease. Work-related physical risk factors for musculoskeletal disorders in the lumbar region have been reported to be handling heavy objects, whole body vibration and unstable back posture, and work-related psychosocial risk factors have been identified as low job satisfaction, high job demands, low social support, and high perceived stress.17 In this study, occupations such as school meal service workers, construction frame mold carpenters, and carers showed higher numbers of occupational disease cases, and the approval rate was higher in occupations such as construction frame mold carpenters, general welders, and ship welders. In the case of welders and construction frame mold carpenters, there is an agreement on the work relatedness of herniated intervertebral disc because their jobs frequently involve handling heavy objects and working in an unstable back posture. Compared to them, carers showed a lower approval rate than the average approval rate, and the lower approval rate of this occupation may have been affected by the fact that the mean age of carers is high, but their mean working duration is relatively short.
In the case of shoulder disorders, rotator cuff tear took up the largest percentage. The approval rate for rotator cuff tear was 79.7%, and this region had a high approval rate along with other diseases of the upper extremity. Occupations in construction and beauty industry and physical factors, such as sports activities involving raising arms above the head, lifting heavy objects, and repetitive movements in uncomfortable positions, are known to increase the risk for shoulder disorders.18 In this study, most of the top 20 occupations had a high approval rate, and applicants in those occupations mostly had a relatively long working duration. In comparison, occupations with a relatively shorter working duration tended to show a slightly lower approval rate. A representative example is the occupation of building cleaners.
As for elbow-joint disorders, the number of occupational disease cases for lateral epicondylitis was highest, and the approval rate was a very high level of 82.2%. Generally, the prevalence of lateral epicondylitis is higher than that of medial epicondylitis, and the results of this study also confirmed the tendency. Battevi et al.19 found that the prevalence of lateral epicondylitis was 0.3% in men and 0.2% in women among 749 adults aged 35 or older with occupations unrelated to the repetitive use of the upper extremities. However, Descatha et al.20 reported that the prevalence of medial epicondylitis was 4%–5%, and its annual incidence rate was 1.5% among 1,757 workers excessively using the repetitive movements of the upper extremities, and repetitive movements were found to be a factor negatively affecting the prognosis of medial epicondylitis. As demonstrated by previous studies, the occurrence of lateral or medial epicondylitis is related to the use of the arm. In particular, combined factors (force, posture, and repetitiveness) have a high association with the disease in the case of jobs that require repetitively applying force with the elbow bent excessively or with the arm extended.21 In agreement with previous studies, in this study, most of the top 20 occupations with higher levels of exposure to these factors, such as construction frame mold carpenters, ship welders, and school meal service workers, were found to have a high approval rate. However, elementary workers in mining had a lower approval rate compared to other occupations, and a factor affecting this lower approval rate is thought to be the tendency that miners tend to file occupational disease cases for musculoskeletal disorders 3 to 7 years after retirement.
With respect to wrist diseases, CTS had the highest proportion, and the average approval rate for it was 71.5%. The proportion of female applicants was higher than that of men. This result is consistent with previous research reporting that CTS is more common in women than men, and the prevalence of CTS is higher in elderly people than younger age groups.22 A higher prevalence of CTS in women than in men is related to the fact that the diameter of the carpal tunnel of women is anatomically smaller than that of men, making women more vulnerable to CTS, and women’s hormonal changes due to menstruation, pregnancy, child-birth, and menopause are reported to be a risk factor increasing women’s vulnerability to CTS compared to men.23,24 In this study, for CTS, school meal service workers, cooks, and automobile parts assemblers accounted for a large proportion of applicants of occupational disease cases, and this result can be attributed to the fact that these occupations are traditionally dominated by women. In particular, school meal food service consists of various tasks including pretreatment of foods before cooking, cooking, serving meals, washing the dishes, and cleaning the kitchen, which involve repetitive movements, uncomfortable postures, and the excessive use of force by the upper limbs. Also, the use of relatively heavy metal plates and cooking tools and high work intensity of kitchen cleaning for hygiene management are considered additional risk factors.
Regarding knee diseases, the number of occupational disease cases for meniscus tear was highest and the approval rate was 68.0%, which was similar to the average approval rate. Major occupational risk factors for knee diseases are known to be squatting,25 male floor layers,26 handling heavy objects and climbing stairs.27 Similarly, in this study, occupations related to ship building such as ship welders and ship painters accounted for a large proportion of applicants for meniscus tear and showed a high approval rate, showing a similar tendency to the findings of previous studies. On the other hand, the approval rate tended to be very low in cases where workers generally work in a standing position as in the case of cooks or assembly line workers or in cases where workers have a high mean age and a short working duration as in the case of carers or building cleaners. These results showed that the approval rate for occupational disease cases for knee diseases is related to the frequency of squatting postures during work.
The study identified characteristics of WRMSDs as occupational diseases by using the complete enumeration data of industrial accident claims on WRMSDs in 2020. In particular, study results revealed specific diseases, occupations, and approval rates of occupational disease cases for WRMSDs by body part for 6 body parts. It is thought that these results can be utilized in the evaluation of work-relatedness of musculoskeletal disorders in the future and the prediction of the probability of approval of occupational disease cases for industrial accidents in the front line of handling such cases. In addition, high approval rates of specific occupations indicate that the occupations involve work putting an undue burden on the related body parts. Therefore, omission of on-site investigation for evaluation of work-relatedness for these occupations is thought to help to improve the procedure to process compensation claims for industrial accidents. However, it is regrettable that this data is still not related to the status of the occurrence of musculoskeletal disorders. Therefore, in follow-up studies, there is a need to conduct further research on the epidemiology of musculoskeletal disorders through data analysis that can estimate the occurrence of WRMSDs by matching health insurance data with employment insurance data.
The present study used total claims of WRMSDs deliberated by the Occupational Disease Decision Committee of the Korea Workers’ Compensation and Welfare Service in 2020, and the 6 body parts with the highest numbers of occupational disease cases were analyzed. So, the results are expected to help identify occupational differences in WRMSDs by body part and to know approval status and characteristics of WRMSDs in Korea. Also, unlike previous studies, this study classified the data by body parts with the highest numbers of occupational disease cases. Occupations and diseases with a large number of cases were organized according to the body part, showing the current status of WRMSDs among Korean workers in 2020. Further research is then needed to follow trend of occupational disease cases.

AR

approved rate

HIVD

herniated intervertebral disc

TFCC

triangular fibrocartilage complex

WD

working duration

WRMSD

work-related musculoskeletal disorder

Funding: This research was supported by 2-year Research Grant Pusan National University (2021).

Competing interests: The authors declare that they have no competing interests.

Author Contributions:

  • Conceptualization: Kim Y, Kim I.

  • Data curation: Kim Y, Jung S, Lee I, Kim D, Choi E, Kim Y, Lee K, Kang Y, Kim H.

  • Investigation: Kim Y, Jung S, Lee I, Kim D, Choi E, Kim Y, Lee K, Kang Y, Kim H.

  • Writing - original draft: Cha E, Kim Y.

  • Writing - review & editing: Kim Y.

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    • 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)
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      Approval status and characteristics of work-related musculoskeletal disorders among Korean workers in 2020
      Ann Occup Environ Med. 2022;34:e31  Published online October 26, 2022
      DOI: https://doi.org/10.35371/aoem.2022.34.e31
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    Approval status and characteristics of work-related musculoskeletal disorders among Korean workers in 2020
    Image
    Fig. 1 Number of cases according to working duration.

    Fig. 1

    Approval status and characteristics of work-related musculoskeletal disorders among Korean workers in 2020
    VariablesCategoriesNeckBackShoulderElbowWristKneeTotal
    Total7044,1553,8201,7701,4081,15813,015
    SexMale575 (81.7)3,447 (83.0)3,016 (79.0)1,360 (76.8)771 (54.8)818 (70.6)9,987 (76.7)
    Female129 (18.3)708 (17.0)804 (21.0)410 (23.2)637 (45.2)340 (29.4)3,028 (23.3)
    Age (year)20–304 (0.6)178 (4.3)20 (0.5)15 (0.8)146 (10.4)18 (1.6)381 (2.9)
    30–4055 (7.8)599 (14.4)153 (4.0)149 (8.4)278 (19.7)109 (9.4)1,343 (10.3)
    40–50166 (23.6)1,006 (24.2)570 (14.9)544 (30.7)346 (24.6)226 (19.5)2,858 (22.0)
    50–60261 (37.1)1,311 (31.6)1,336 (35.0)604 (34.1)429 (30.5)431 (37.2)4,372 (33.6)
    > 60218 (31.0)1,061 (25.5)1,741 (45.6)458 (25.9)209 (14.9)374 (32.3)4,061 (31.2)
    Average age (year)53.8 ± 9.750.3 ± 10.456.8 ± 9.152.3 ± 9.446.6 ± 11.853.3 ± 10.152.5 ± 8.7
    WD (year)0–5177 (25.1)1,704 (41.0)880 (23.0)495 (28.0)624 (44.3)254 (21.9)4,134 (31.8)
    5–10132 (18.8)832 (20.0)920 (24.1)310 (17.5)316 (22.4)255 (22.0)2,765 (21.2)
    10–15105 (14.9)632 (15.2)719 (18.8)337 (19.0)198 (14.1)246 (21.2)2,237 (17.2)
    15–20107 (15.2)401 (9.7)423 (11.1)200 (11.3)126 (8.9)140 (12.1)1,397 (10.7)
    20–2557 (8.1)236 (5.7)240 (6.3)124 (7.0)64 (4.5)80 (6.9)801 (6.2)
    25–3058 (8.2)151 (3.6)204 (5.3)101 (5.7)41 (2.9)56 (4.8)611 (4.7)
    > 3068 (9.7)199 (4.8)434 (11.4)203 (11.5)39 (2.8)127 (11.0)1,070 (8.0)
    Average WD (month)167.2 ± 125.1119.7 ± 102.2161.3 ± 123.7158.1 ± 131.0101.0 ± 72.0161.35 ± 118.8142.65 ± 112.4
    Median WD (month)1358812912872132113
    AR (%)34.255.678.577.465.362.865.8
    IndustriesNeckBackShoulderElbowWristKneeTotal
    CasesAR (%)CasesAR (%)CasesAR (%)CasesAR (%)CasesAR (%)CasesAR (%)CasesAR (%)
    Manufacturing371 (52.7)39.61,727 (41.6)58.51,663 (43.5)80.4833 (47.1)83.1602 (42.8)72.1511 (44.1)72.65,707 (43.4)69.9
    Others172 (24.4)20.91,404 (33.8)49.41,089 (28.5)69.4519 (29.3)69.1623 (44.2)60.8358 (30.9)39.14,165 (31.7)56.7
    Construction84 (11.9)56.0590 (14.2)65.7714 (18.7)91.9211 (11.9)84.790 (6.4)70.0182 (15.7)83.01,871 (14.2)79.3
    Transportation and storage51 (7.2)15.7320 (7.7)51.9156 (4.1)75.972 (4.1)63.454 (3.8)42.643 (3.7)65.1696 (5.3)55.9
    Mining and quarrying23 (3.3)13.080 (1.9)37.5170 (4.5)61.5123 (6.9)70.029 (2.1)48.355 (4.7)56.4480 (3.6)56.0
    Agriculture1 (0.1)0.024 (0.6)70.612 (0.3)91.74 (0.2)50.04 (0.3)75.04 (0.3)75.049 (0.4)73.4
    Financial and insurance activities2 (0.3)0.06 (0.1)50.02 (0.1)50.05 (0.3)60.03 (0.2)33.318 (0.1)44.4
    Forestry9 (0.2)100.02 (0.1)100.03 (0.2)100.03 (0.3)66.717 (0.1)94.1
    Fishing and aquaculture2 (0.0)100.03 (0.1)66.72 (0.2)50.07 (0.1)71.4
    Electricity, gas, steam and air conditioning supply2 (0.0)100.02 (0.1)100.01 (0.1)100.05 (0.0)100.0
    Total70434.24,15555.63,82078.51,77077.41,40865.31,15862.813,15565.8
    VariablesCategoriesCasesAR (%)Total
    NeckHerniated intervertebral disc556 (79.0)33.6704
    Spinal stenosis94 (13.4)37.2
    Others54 (7.7)35.2
    BackHerniated intervertebral disc2,468 (59.4)57.54,155
    Sprain718 (17.3)57.0
    Spinal stenosis621 (14.9)58.6
    Spondylolisthesis186 (4.5)48.4
    Others162 (3.9)48.8
    ShoulderRotator cuff syndrome2,702 (70.7)79.73,820
    Impingement syndrome452 (11.8)82.5
    Labral tear131 (3.4)76.3
    Tendinitis110 (2.9)74.5
    Others425 (11.1)68.2
    ElbowLateral epicondylitis920 (52.0)82.21,770
    Medial epicondylitis283 (16.0)73.9
    Tendon tear198 (11.2)80.8
    Osteoarthritis79 (4.5)75.9
    Ulnar neuropathy74 (4.2)73.0
    Sprain49 (2.8)57.1
    Synovitis31 (1.8)74.2
    Others136 (7.6)58.8
    WristCarpal tunnel syndrome452 (32.1)71.51,408
    Triangular fibrocartilage complex injury232 (16.5)66.8
    De ouervain syndrome120 (8.5)78.3
    Ulnar impaction syndrome94 (6.7)73.4
    Sprain93 (6.6)55.9
    Synovitis78 (5.5)72.5
    Tendinitis58 (4.1)56.9
    Ganglion54 (3.8)53.7
    Osteoarthritis52 (3.7)42.3
    Tenosynovitis36 (2.6)80.6
    Others139 (9.9)46.4
    KneeTear of meniscus548 (47.3)68.01,158
    Osteoarthritis324 (28.0)64.0
    Sprain36 (3.1)68.5
    Ligament injury34 (2.9)43.3
    Others36 (3.1)44.7
    OccupationsTotal casesCervical HIVDCervical canal stenosis
    CasesAR (%)Average WD (month)CasesAR (%)Average WD (month)
    Automobile assemblers363046.7220.3 ± 120.1666.7275.5 ± 122.3
    Production related elementary workers353119.4109.2 ± 105.5450.0224.0 ± 136.4
    Clerks292313.091.5 ± 100.560.0162.8 ± 157.3
    Elementary workers in mining22219.5294.2 ± 95.310.0354.0
    Welders in shipyard211861.1274.2 ± 124.9333.3203.0 ± 144.9
    Metal processing machine operators201942.1156.8 ± 112.11100.0113.0
    Loading and lifting elementary workers191717.683.8 ± 56.3250.0176.0 ± 75.0
    Cooks181520.090.8 ± 83.4333.3142.7 ± 152.7
    Health and medical related workers161330.869.0 ± 66.2333.377.3 ± 95.6
    Bus drivers161315.4177.5 ± 75.930.0124.3 ± 76.5
    Other automobile drivers14120.0151.7 ± 96.720.0265.5 ± 160.5
    Frame mold carpenters in construction131060.0106.2 ± 71.4366.7118.3 ± 81.8
    Building cleaners12100.048.9 ± 42.220.025.5 ± 7.8
    School & company meal service workers121118.2163.5 ± 69.310.0160.0
    Forklift operators111050.0181.1 ± 146.410.0240.0
    Tire production workers11862.5263.9 ± 103.0366.7295.0 ± 62.5
    Grinders in shipyard11862.5235.1 ± 126.3333.3227.0 ± 102.8
    Automobile parts assemblers10850.0160.6 ± 108.620.0127.5 ± 173.2
    Signalmen in shipyard10922.2251.7 ± 140.410.0130.0
    Automobile painters10933.3221.1 ± 110.310.0309.0
    OccupationsTotal casesLumbar HIVDLumbar sprain
    CasesAR (%)Average WD (month)CasesAR (%)Average WD (month)
    School & company meal service workers1148567.1121.5 ± 72.32965.5108.9 ± 85.6
    Cooks856746.353.6 ± 68.91855.649.8 ± 86.1
    Frame mold carpenters in construction755778.9113.6 ± 119.71877.893.4 ± 55.9
    Welders in shipyard605874.1178.8 ± 102.1250.0184.0 ± 45.3
    Licensed caregivers604348.850.7 ± 52.91747.145.6 ± 40.7
    Welders in manufacturing554077.590.1 ± 75.01580.085.8 ± 77.8
    Garbage collectors533565.7108.9 ± 102.91861.186.2 ± 86.5
    Automobile assemblers493658.3194.2 ± 99.91338.5191.5 ± 119.1
    Plumbers in construction463666.7100.3 ± 76.21070.097.0 ± 53.2
    Elementary workers in construction443658.338.6 ± 48.7850.021.8 ± 37.2
    Production related elementary workers433548.648.5 ± 61.6837.537.8 ± 46.0
    Fit-up workers in shipyard423574.3206.1 ± 124.7771.4166.3 ± 111.0
    Building cleaners423444.175.8 ± 60.2837.576.9 ± 90.4
    Bus drivers413548.6150.9 ± 90.9650.096.8 ± 106.4
    Building equipment operators362937.9117.0 ± 98.0742.961.0 ± 24.2
    Equipment, machine operating workers352568.0159.2 ± 119.41050.0142.1 ± 113.6
    Elementary workers in mining313050.0224.6 ± 130.610.08.0
    Electricians in construction312466.7101.0 ± 117.6785.7111.6 ± 119.6
    Store sales workers291963.299.0 ± 62.11050.073.8 ± 59.8
    Waste collectors252259.166.8 ± 51.5333.3298.0 ± 161.7
    OccupationsTotal casesRotator cuff syndromeShoulder impingement syndrome
    CasesAR (%)Average WD (month)CasesAR (%)Average WD (month)
    Frame mold carpenters in construction18518094.4117.4 ± 66.6580.0104.2 ± 70.3
    School & company meal service workers16714386.0149.4 ± 83.62495.8161.0 ± 69.6
    Welders in shipyard1268688.4291.2 ± 140.04090.0324.3 ± 138.3
    Elementary workers in mining1098373.5283.5 ± 126.32676.9299.2 ± 140.2
    Cooks1059268.589.7 ± 90.71369.263.5 ± 48.6
    Automobile assemblers695186.3255.3 ± 122.71888.9236.8 ± 103.6
    Garbage collectors665786.0121.8 ± 85.49100.093.1 ± 43.7
    Building cleaners646365.181.9 ± 58.610.0128.0
    Licensed caregivers585170.672.0 ± 45.2757.136.0 ± 29.4
    Plasters5753100.0142.3 ± 62.74100.0181.8 ± 151.8
    Painters in shipyard553585.7169.3 ± 98.72090.0204.2 ± 146.9
    Automobile mechanics544998.0205.3 ± 110.35100.0138.8 ± 106.4
    Waste collectors544891.7131.0 ± 68.56100.0110.6 ± 67.7
    Fit-up workers in shipyard523884.2270.1 ± 136.814100.0312.6 ± 131.9
    Tire production workers493989.7296.1 ± 83.61090.0189.2 ± 111.1
    Automobile parts assemblers403281.3239.9 ± 110.4887.5168.0 ± 117.9
    Welders in manufacturing383491.2161.9 ± 111.24100.0237.5 ± 158.0
    Plumbers in construction373585.7123.8 ± 86.02100.092.0 ± 2.8
    Grinders in shipyard3725100.0145.6 ± 91.41291.7114.8 ± 108.6
    Metal processing machine operators373591.4171.2 ± 120.9250.0178.5 ± 205.8
    OccupationsTotal casesLateral epicondylitisMedial epicondylitis
    CasesAR (%)Average WD (month)CasesAR (%)Average WD (month)
    Elementary workers in mining1047965.8315.1 ± 126.12568.0303.1 ± 122.6
    School & company meal service workers563585.7128.1 ± 78.32185.7132.7 ± 74.2
    Cooks534285.762.2 ± 57.31181.878.6 ± 47.5
    Welders in shipyard453686.1251.0 ± 135.0977.8245.6 ± 78.0
    Loading and lifting elementary workers453482.485.6 ± 79.81172.745.7 ± 67.5
    Automobile parts assemblers413193.5172.3 ± 117.110100.0204.8 ± 86.7
    Automobile assemblers372885.7208.0 ± 87.1988.9201.2 ± 105.9
    Frame mold carpenters in construction292095.0128.4 ± 84.9966.7120.8 ± 73.1
    Store sales workers282281.879.4 ± 56.6666.782.4 ± 59.3
    Fit-up workers in shipyard262281.8222.6 ± 143.4475.0278.3 ± 138.8
    Tire production workers2519100.0243.1 ± 105.26100.0198.8 ± 59.6
    Garbage collectors2115100.0105.0 ± 67.16100.079.8 ± 64.8
    Welders in manufacturing201693.8138.1 ± 96.1475.094.0 ± 68.5
    Grinders in shipyard1913100.0169.8 ± 74.36100.0127.2 ± 40.1
    Building cleaners191291.751.0 ± 51.2771.474.4 ± 48.4
    Automobile mechanics1813100.0223.2 ± 112.05100.0159.6 ± 99.3
    Product transporter161090.097.4 ± 85.2650.073.8 ± 57.1
    Elementary workers in construction1514100.054.2 ± 76.71100.08.0
    Catering service workers141190.933.9 ± 24.43100.030.7 ± 12.4
    Meat processors139100.079.6 ± 60.2475.076.0 ± 53.6
    OccupationsTotal casesCarpal tunnel syndromeTFCC injury
    CasesAR (%)Average WD (month)CasesAR (%)Average WD (month)
    School & company meal service workers625292.3139.8 ± 68.81090.0118.3 ± 49.7
    Cooks594362.860.4 ± 65.11668.855.4 ± 54.2
    Automobile parts assemblers261957.9140.8 ± 120.5785.7193.7 ± 124.0
    Automobile assemblers25785.7197.9 ± 80.11888.9176.4 ± 80.4
    Food processing workers231770.682.9 ± 73.6650.039.3 ± 39.2
    Elementary workers in mining181241.7218.8 ± 110.0666.7261.0 ± 103.9
    Catering service workers161291.769.5 ± 75.6425.028.0 ± 19.3
    Kitchen helpers161384.666.3 ± 45.8333.325.0 ± 20.0
    Clerks151010.0131.1 ± 62.8540.0124.0 ± 115.6
    Loading and lifting elementary workers158100.055.0 ± 53.8728.620.0 ± 15.1
    Store sales workers157100.083.9 ± 74.5875.091.6 ± 79.7
    Production related elementary workers141275.0104.4 ± 82.7250.0105.5 ± 132.2
    Hand packers141181.8109.9 ± 87.5366.787.7 ± 62.5
    Painters in shipyard101070.0166.5 ± 76.200.0
    Welders in shipyard84100.0111.3 ± 70.44100.0173.0 ± 158.8
    Building cleaners7757.1128.4 ± 86.800.0
    Frame mold carpenters in construction7683.3113.7 ± 64.71100.058.0
    Automobile mechanics73100.0370.0 ± 17.3475.0203.3 ± 145.3
    Dental hygienists65100.077.2 ± 3.810.064.0
    Metal processing machine operators6560.0106.4 ± 64.31100.0308.0
    OccupationsTotal casesTear of meniscusKnee osteoarthritis
    CasesAR (%)Average WD (month)CasesAR (%)Average WD (month)
    Welders in shipyard574493.2248.4 ± 129.81369.2304.2 ± 123.5
    School & company meal service workers473551.4132.3 ± 73.11241.7161.0 ± 75.4
    Painters in shipyard3619100.0154.1 ± 90.81782.4162.7 ± 84.9
    Elementary workers in mining361369.2311.9 ± 124.92343.5297.8 ± 112.2
    Building cleaners311827.890.0 ± 54.81338.5106.0 ± 57.2
    Construction related technical workers301978.981.3 ± 56.51181.8112.9 ± 63.7
    Frame mold carpenters in construction2919100.0142.9 ± 86.710100.0149.4 ± 67.7
    Product transporter221883.3134.9 ± 151.5475.0149.7 ± 138.4
    Fit-up workers in shipyard191894.4267.0 ± 117.31100.0294.7 ± 97.3
    Cooks181330.880.8 ± 76.9520.095.1 ± 81.1
    Garbage collectors181560.0122.8 ± 101.93100.0163.0 ± 131.3
    Grinders in shipyard1717100.0135.2 ± 90.000.0
    Licensed caregivers161533.372.6 ± 42.410.033.0
    Welders in manufacturing151190.9173.4 ± 112.5475.0159.2 ± 123.0
    Other automobile workers151330.8176.7 ± 112.6250.0205.7 ± 110.6
    Plasters12666.7104.3 ± 58.8683.3134.6 ± 63.5
    Plumbers in shipyard111090.0285.7 ± 138.01100.0359.0
    Ship rig assemblers107100.0318.7 ± 122.0366.7250.0 ± 158.5
    Other shipyard workers10785.7318.4 ± 130.9366.7311.9 ± 141.8
    Construction stonemasons73100.0120.1 ± 114.04100.0122.5 ± 109.4
    Table 1 The characteristics of work-related musculoskeletal diseases by the parts of the body

    Categorical data presented as number (%); continuous data presented as mean ± standard deviation

    WD: working duration; AR: approval rate.

    Table 2 The work-related musculoskeletal diseases by the type of industry

    Categorical data presented as number(%)

    AR: approval rate.

    Table 3 The work-related musculoskeletal diseases by the parts of the body

    Categorical data presented as number (%).

    AR: approved rate.

    Table 4 The top 20 occupations with the highest numbers of WRMSDs in neck

    Continuous data presented as mean ± standard deviation.

    WRMSD: work-related musculoskeletal disorder; HIVD: herniated intervertebral disc; AR: approved rate; WD: working duration.

    Table 5 The top 20 occupations with the highest numbers of WRMSDs in back

    Continuous data presented as mean ± standard deviation.

    WRMSD: work-related musculoskeletal disorder; HIVD: herniated intervertebral disc; AR: approved rate; WD: working duration.

    Table 6 The top 20 occupations with the highest numbers of WRMSDs in shoulder

    Continuous data presented as mean ± standard deviation.

    WRMSD: work-related musculoskeletal disorder; AR: approved rate; WD: working duration.

    Table 7 The top 20 occupations with the highest numbers of WRMSDs in elbow

    Continuous data presented as mean ± standard deviation.

    WRMSD: work-related musculoskeletal disorder; AR: approved rate; WD: working duration.

    Table 8 The top 20 occupations with the highest numbers of WRMSDs in wrist

    Continuous data presented as mean ± standard deviation

    WRMSD: work-related musculoskeletal disorder; TFCC: triangular fibrocartilage complex; AR: approved rate; WD: working duration.

    Table 9 The top 20 occupations with the highest numbers of WRMSDs in knee

    Continuous data presented as mean ± standard deviation.

    WRMSD: work-related musculoskeletal disorder; AR: approved rate; WD: working duration.

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    Ann Occup Environ Med : Annals of Occupational and Environmental Medicine
    © Korean Society of Occupational & Environmental Medicine.
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