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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
  • Worldwide prevalence of carpal tunnel syndrome among dental health care personnel - A systematic review and meta-analysis
    Deepika Chenna, Medhini Madi, Mathangi Kumar, Vijay Kumar, Sitaram Chopperla, Abhinav Tadikonda, Kalyana Pentapati
    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
  • The effectiveness of biophysical agents in the treatment of carpal tunnel syndrome- an umbrella review
    Armaghan Dabbagh, Christina Ziebart, Joy C MacDermid, Tara Packham, Ruby Grewal
    BMC Musculoskeletal Disorders.2023;[Epub]     CrossRef
  • Prevalence and risk factors for self-reported symptoms of carpal tunnel syndrome among hospital office workers: a cross-sectional study
    Seher Kurtul, Nejdiye Mazican
    International Journal of Occupational Safety and Ergonomics.2023; 29(2): 461.     CrossRef
  • Carpal tunnel syndrome in the workplace. Triggers, coping strategies, and economic impact: A qualitative study from the perspective of women manual workers
    Paloma Moro-López-Menchero, César Fernández-de-las-Peñas, Javier Güeita-Rodríguez, Stella Maris Gómez-Sanchez, Antonio Gil-Crujera, Domingo Palacios-Ceña
    Journal of Hand Therapy.2023; 36(4): 817.     CrossRef
  • Actividades hospitalarias en residentes e internos del Hospital Angeles Mocel como factor de riesgo para síndrome del túnel del carpo
    Anapaula Hornelas Vargas, María José Talayero, Nancy Alva Arroyo, Alejandra López Rubio, Guillermo Alcántara Padilla
    Acta Médica Grupo Ángeles.2023; 21(4): 309.     CrossRef
  • 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
    Cureus.2023;[Epub]     CrossRef
  • Prevalence of carpal tunnel syndrome in patients with long-term type 2 diabetes mellitus
    Defu Dong, Hongwei Liu
    Heliyon.2022; 8(12): e12615.     CrossRef
  • The effects of pistol grip power tools on median nerve pressure and tendon strains
    Ryan Bakker, Mayank Kalra, Sebastian S. Tomescu, Robert Bahensky, Naveen Chandrashekar
    International Journal of Occupational Safety and Ergonomics.2022; 28(3): 1904.     CrossRef
  • Diabetic polyneuropathy and carpal tunnel syndrome together affect hand strength, tactile sensation and dexterity in diabetes patients
    Yan Zhang, Xinhua Liu, Jie Jia, Qi Zhang, Yifang Lin, Li Zhang, Qi Lu, Haidong Lv, Xianzhao Zheng
    Journal of Diabetes Investigation.2021; 12(11): 2010.     CrossRef
  • Manufacturing Workers Have a Higher Incidence of Carpal Tunnel Syndrome
    Eric B. Battista, Nikhil R. Yedulla, Dylan S. Koolmees, Zachary A. Montgomery, Karthik Ravi, Charles S. Day
    Journal of Occupational & Environmental Medicine.2021; 63(3): e120.     CrossRef
  • Prevalence and risk factors of self-reported wrist and hand symptoms and clinically confirmed carpal tunnel syndrome among office workers in China: a cross-sectional study
    Beibei Feng, Kedi Chen, Xiaoxia Zhu, Wing-Yuk Ip, Lars L. Andersen, Phil Page, Yuling Wang
    BMC Public Health.2021;[Epub]     CrossRef
  • Establishing Age-calibrated Normative PROMIS Scores for Hand and Upper Extremity Clinic
    Nikhil R. Yedulla, Carson T. Wilmouth, Sreten Franovic, Alaa A. Hazime, Jared T. Hudson, Charles S. Day
    Plastic and Reconstructive Surgery - Global Open.2021; 9(8): e3768.     CrossRef
  • Blocking CTGF/CCN2 reverses neural fibrosis and sensorimotor declines in a rat model of overuse‐induced median mononeuropathy
    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
    Journal of Orthopaedic Research.2020; 38(11): 2396.     CrossRef
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  • 16 Web of Science
  • 18 Crossref
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Cardiovascular disease risk differences between bus company employees and general workers according to the Korean National Health Insurance Data
Ji-Hoo Yook, Dong-Wook Lee, Min-Seok Kim, Yun-Chul Hong
Ann Occup Environ Med 2018;30:32.   Published online May 8, 2018
DOI: https://doi.org/10.1186/s40557-018-0242-z
AbstractAbstract PDFPubReaderePub
Background

Bus drivers are known to be highly at risk of cardiovascular diseases. In this study, we assessed the cardiovascular disease prevalence of bus company employees in Seoul, South Korea, and compared the results to those of general workers.

Methods

We analyzed the 2014 Korean National Health Insurance (NHI) data and defined hypertension, diabetes, dyslipidemia, ischemic heart disease, and cerebrovascular disease based on the KCD-6 medical diagnoses. We used bus company employees as surrogate participants of bus drivers due to the characteristics of Korean NHI data. We identified bus company employees in Seoul based on one’s workplace which the insurance is registered. The prevalence of five diseases was compared between the bus company employees and general workers. We also calculated the odds ratios (OR) of five diseases between the bus company employees and general workers. To compensate the vast demographical differences between the two groups, we performed propensity score matching.

Results

Bus company employees have higher OR for having hypertension (OR 1.33, 95% CI: 1.28–1.39), diabetes mellitus (1.14, 95% CI: 1.08–1.22), and dyslipidemia (1.23, 95% CI: 1.17–1.29) than the general workers or propensity score matched controls. However, the OR of having ischemic heart disease were not significant. The OR of cerebrovascular disease were lower in bus company employees than in the general workers after adjusting the covariates, but similar in the propensity score matched model.

Conclusion

This study showed that the ORs of cardiovascular disease risk factors are high in bus company employees when compared to the general working population. Further studies with the longitudinal design should be conducted to confirm the causal association.


Citations

Citations to this article as recorded by  
  • Ischemic heart disease and stroke in male couriers: a cohort study using the national health insurance data and national employment insurance data
    Jiyoung Yoon, Jeehee Min, Eun Mi Kim, Jaiyong Kim, Inah Kim
    Frontiers in Public Health.2024;[Epub]     CrossRef
  • Facilitators and barriers to achieving dietary and physical activity goals: focus group interviews with city bus drivers and counseling dietitians
    Yongmin Jo, Suhyeun Cho, Young-Hee Han, Taisun Hyun
    Korean Journal of Community Nutrition.2023; 28(5): 376.     CrossRef
  • Expositions professionnelles et santé des conducteurs professionnels, quelles spécificités pour les chauffeurs de bus urbains ?
    K. Wei, E. Fort, L. Rollin, A. Leroyer, B. Charbotel
    Archives des Maladies Professionnelles et de l'Environnement.2022; 83(5): 458.     CrossRef
  • The Effectiveness of a mHealth Program Using Wearable Devices and Health Coaching among Bus Drivers for Promoting Physical Activity
    Yeongmi Ha, Sang-Ho Lee, Suyeon Lee, Yeojoo Chae
    Journal of Korean Academy of Community Health Nursing.2022; 33(3): 332.     CrossRef
  • Calidad de vida en el trabajo y aspectos sociodemográficos en trabajadores reintegrados en una empresa de bus de rápido tránsito
    Ana Milena Galarza Iglesias, Lessby Gómez Salazar, Cecilia Andrea Ordóñez Hernández
    Cuadernos de Administración.2021; 37(69): e2210695.     CrossRef
  • Incidence of ocular and systemic diseases affecting visual function among state bus drivers
    Piyush Kohli, Naresh Babu, Chitaranjan Mishra, Sourav Damodaran, S Bhavani, Mahesh Kumar, Kim Ramasamy
    Indian Journal of Ophthalmology.2021; 69(10): 2625.     CrossRef
  • Cardiovascular risk and associated risk factors in Spanish professional drivers
    Ángel Arturo López-González, María Albaladejo-Blanco, Sebastiana Arroyo-Bote, J. Ignacio Ramírez-Manent, Nora López-Safont, Estefanía García-Ruiz, María Teófila Vicente-Herrero
    Journal of Transport & Health.2021; 23: 101266.     CrossRef
  • Australian bus drivers’ modifiable and contextual risk factors for chronic disease: A workplace study
    Alison Brodie, Toby Pavey, Cameron Newton, Marguerite C. Sendall, Sergio A. Useche
    PLOS ONE.2021; 16(7): e0255225.     CrossRef
  • Feasibility of cardiovascular risk and sleep health screening in the transport industry
    Mark E. Howard, Alexander P. Wolkow, Vanessa Wilkinson, Philip Swann, Amy S. Jordan, Fergal J. O'Donoghue, Robert J. Pierce, David L. Hare
    Journal of Transport & Health.2020; 18: 100878.     CrossRef
  • Cancer risk in road transportation workers: a national representative cohort study with 600,000 person-years of follow-up
    Wanhyung Lee, Mo-Yeol Kang, Jihyun Kim, Sung-Shil Lim, Jin-Ha Yoon
    Scientific Reports.2020;[Epub]     CrossRef
  • Associations Between the Breakroom Built Environment, Worker Health Habits, and Worker Health Outcomes: A Pilot Study Among Public Transit Rail Operators
    Nathan M. Jones, Meghan McDonnell, Emily Sparer-Fine, Bernard Rosner, Jack T. Dennerlein, Stefanos Kales, Carmen Messerlian
    Journal of Occupational & Environmental Medicine.2020; 62(8): e398.     CrossRef
  • Bus Workers’ Experiences with and Perceptions of a Health Promotion Program: A Qualitative Study Using a Focus Group Discussion
    Jeehee Pyo, Mina Lee, Minsu Ock, Gwiok Park, Dongseok Yang, Jungsun Park, Yangho Kim
    International Journal of Environmental Research and Public Health.2020; 17(6): 1992.     CrossRef
  • 42 View
  • 0 Download
  • 10 Web of Science
  • 12 Crossref
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