• Title/Summary/Keyword: Occupational Injuries

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Comparison of the Effectiveness of Sling Exercise and McKenzie Exercise in Patients with Acute Cervical Whiplash Associated Disorder Following Rear-end Collision

  • Jeong, Mo-Beom;Kim, Jae-Yun;Lee, Dong-Woo
    • The Journal of Korean Physical Therapy
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    • v.28 no.5
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    • pp.314-320
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    • 2016
  • Purpose: This study compared the effectiveness of sling exercise and McKenzie exercise in patients with acute cervical whiplash associated disorder (WAD) caused by rear-end collision. Methods: Thirty WAD patients were randomly assigned to one of three groups; a sling exercise (SE) group, a McKenzie exercise (McE) group, and a control group. Members of the SE and McE exercised three times a week for four weeks under the researcher's guidance. Three groups performed TENS treatment three times a week for four weeks. Diagnostic radiological equipment was used to measure whiplash injury. Visual analog scale (VAS), neck disability index (NDI), and range of motion (ROM) were used in this study. Results: The three groups showed a significant pre-post treatment difference in measures of VAS and NDI (p<0.05). The SE group showed a significant pre-post treatment difference in measures of flexion and extension changes compared to the McE and control group (p<0.05). The SE group also showed significantly greater improvement in the VAS, NDI, and ROM changes than the control group (p<0.05). Conclusion: These findings indicate that sling exercise is a stronger and more aggressive intervention for treatment of acute WAD patients.

A Survey on the Industrial Accidents in Heavy Industries & Construction Companies (일부 중공업에서 발생하는 산업재해에 관한 조사)

  • Kim, Jung Man;Choi, Moo Ryong;Kim, Joon Youn;Paik, Jong Min
    • Journal of Korean Society of Occupational and Environmental Hygiene
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    • v.3 no.1
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    • pp.127-139
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    • 1993
  • In order to obtain basic information for the extablishment of effectivce industrial safety programmes in heavy industries & construction companies, accident records for 366 injured workes were collected from January, 1989 to December 1991 and analyzed. The results were as follows : 1. The over-all incidence rate of industrial accidents was 2.98% per year 2. Accidents were common in the workers who are in thirties and twenties. 3. According to the duration of services, the workers with jobs on above than 3 years was the most frequent victims (64.2%) 4. According to the view point of working time, the highest incidence was observed just before the end of the work (17:00-19:00). 5. According to the month of year, the incidence was higher in August(14.0%) and May(14.2%), and lowest in January (3.3%) 6. The most common type of accidents was overexertion (24.9%). 7. According to the job, the highest incidence was observed fabrication. 8. According to the site of injuries, the incidence was higher the truck (27.0%) and fingers (25.1%).

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A Survey of Inconveniences and Injuries Experienced by the Left-handed People from Using Right-handed Products (오른손잡이 전용제품 사용에 있어서 왼손잡이의 불편도와 상해경험에 관한 연구)

  • Jung, Hwa-Shik
    • Journal of the Korea Safety Management & Science
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    • v.11 no.1
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    • pp.35-41
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    • 2009
  • 대부분의 사람들은 의식하지 못하지만 세상은 오른손잡이 중심으로 이뤄져 있기 때문에 왼손잡이가 일상적으로 겪는 불편은 상상외로 많다. 우리가 일상에서 많이 사용하는 연장, 주방기구, 사무용품, 가전제품, 가구, 의류, 악기, 의료기기, 스포츠용품, 공공시설 등 이들 대부분이 오른손잡이에게 맞춰져 있어 왼손잡이들은 자신들의 왼팔을 비틀어서 사용하거나 주손이 아닌 오른손으로 부자연스런 자세로 사용할 수밖에 없다. 이에 따라 왼손잡이는 일상생활에 있어서의 상당한 불편을 느낄 뿐만 아니라 작업 능률의 저하, 재해나 상해를 입을 가능성이 높아질 수 있다. 본 연구는 무작위로 선정된 피설문자에 대한 설문 조사를 통하여 손잡이(handedness)와 관련된 통계수치를 제공하고 왼손잡이인 경우 왼손잡이로서 일상생활에서의 불편함, 작업능률의 저하여부, 오른손잡이 전용제품을 사용하여 상해를 입은 경험 등에 대해 조사하였다. 또한 왼손잡이도 편리하게 사용할 수 있으면 하는 제품이나 공공시설 등에 대한 이들의 주관적인 견해에 대해서도 조사하였다. 이를 토대로 왼손잡이를 위한 공구, 주방용품, 문구용품, 스포츠용품, 사무용품 등에 대하여 현재 적용되어 있는 상품에 대한 고찰과 향후 적용 가능 상품 및 공공시설에 대해 제안하였다.

Causes and Condition of Industrial Accidents during Manual Materials Handling (중량물 취급시 재해 발생 현황 몇 원인에 관한 연구)

  • 양성환
    • Journal of the Korean Professional Engineers Association
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    • v.30 no.5
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    • pp.96-104
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    • 1997
  • This study analyze industrial safety and health planning report for manufacture. The purpose of accident analysis is to obtain accurate and objective information about the causes of accidents in order to prevent accidents from reoccurring. This study investigated the causes and conditions of occupational accidents in Korean industry. As the most accidents are occurred in lifting material, the questionnaire analyses about injuries are operated for occur to deal with the Manual Materials Handing. The results show that there are some characteristics in the accidents of Korean industry since 1986: (1) accidents rates tend to have lower since 1983(1994-1.18%, 1995-0.99%, 1996-0.88%), (2) larger companies tend to have lower accident rates than the smaller ones, (3) inexperience is related to high accident rates(1995-51.26%, 1996-48.82%1, because of the careless education for freshman such as OJT which in order to prevent accident, and (4) the body sites most vulnerable to injury are the hands and fingers and increased the back(caused of Back pain). The results of questionnaire analysis show that operator(n= 104) interested in reinforce the back & belly(42.86%). These finding identified in this study can be used to prevent the industrial accidents, and used to improving directions based on analyzed result.

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Statistical Analysis of Domestic Laboratory Accidents using Classification Criteria of KCD 7 and OIICS (KCD 7과 OIICS의 분류기준을 활용한 국내 연구실 사고의 통계적 분석)

  • Na, Ye Ji;Jang, Nam-Gwon;Won, Jeong-Hun
    • Journal of the Korean Society of Safety
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    • v.34 no.3
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    • pp.42-49
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    • 2019
  • This study statistically analyzed the laboratory accidents by investigating 806 laboratory accident survey reports which were officially submitted to government from 2013 to June 2017. After comparing domestic and foreign accident classification criteria, the laboratory accidents were classified using KCD7(Korean Standard Classification of Diseases) and OIICS(Occupational Injury and Illness Classification System) criteria. For the type and part of injury, KCD7 classification criteria was adopted. And, for the cause and occurrence type of accidents, OIICS was adopted to analyze the laboratory accidents. Most of injuries happened to the wrist and hand caused by sharp materials or chemical materials. The analysis of accident cause showed that accidents resulted in medical practice and accidents from handtools and chemical materials such as acid and alkali frequently occurred. The major occurrence types of laboratory accidents was body exposure to the chemical materials such as hydrochloric acid and sulfuric acid. In addition, the accidents resulted in destroy of grasped object or falling object were frequently reported.

Lymphovenous anastomoses with three-dimensional digital hybrid visualization: improving ergonomics for supermicrosurgery in lymphedema

  • Will, Patrick A.;Hirche, Christoph;Berner, Juan Enrique;Kneser, Ulrich;Gazyakan, Emre
    • Archives of Plastic Surgery
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    • v.48 no.4
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    • pp.427-432
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    • 2021
  • The conventional approach of looking down a microscope to perform microsurgical procedures is associated with occupational injuries, anti-ergonomic postures, and increased tremor and fatigue, all of which predispose microsurgeons to early retirement. Recently, three-dimensional (3D) visualization of real-time microscope magnification has been developed as an alternative. Despite its commercial availability, no supermicrosurgical procedures have been reported using this technology to date. Lymphovenous anastomoses (LVAs) often require suturing vessels with diameters of 0.2-0.8 mm, thus representing the ultimate microsurgical challenge. After performing the first documented LVA procedure using 3D-augmented visualization in our unit and gaining experience with this technique, we conducted an anonymized in-house survey among microsurgeons who had used this approach. The participants considered that 3D visualization for supermicrosurgery was equivalent in terms of handling, optical detail, depth resolution, and safety to conventional binocular magnification. This survey revealed that team communication, resident education, and ergonomics were superior using 3D digital hybrid visualization. Postoperative muscle fatigue, tremor, and pain were also reduced. The major drawbacks of the 3D visualization microscopic systems are the associated costs, required space, and difficulty of visualizing the lymphatic contrast used.

Experiences of Post-traumatic Stress among Industrially Injured Workers (산재근로자의 외상후 스트레스 경험)

  • Han, Jeong-Won
    • Journal of Korean Society of Occupational and Environmental Hygiene
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    • v.31 no.4
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    • pp.484-493
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    • 2021
  • Objectives: The purpose of this study is to understand and explain the meaning and nature of post-traumatic stress among industrially injured workers. Methods: In this study, Colaizzi's phenomenological research method and an in-depth interview were used, and data were collected from 8 industrially injured workers among adult men and women over the age of 20, those who are able to express their opinions, have experienced injuries due to industrial accidents, and those who have been injured for more than 6 months who had participated in the study from 1st May 2021 to 30th September. The in-depth interview with research participants took approximately 30 minutes to 90 minutes on average. Results: The research results were classified into five categories, eleven thematic collections, and 27 themes. The Five categories were 'maze with no exit', 'erased existence', 'impenetrable barrier', 'tightly closed iron gate', and 'overcoming reality hurdles'. Conclusions: This study can help understand and describe the experiences of post-traumatic stress among workers who have experienced industrial accidents by taking a phenomenological approach. It suggests the need for program intervention and institutional improvement for psychosocial rehabilitation as well as an institutional approach toward these targets.

A Classification Model for Predicting the Injured Body Part in Construction Accidents in Korea

  • Lim, Jiseon;Cho, Sungjin;Kang, Sanghyeok
    • International conference on construction engineering and project management
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    • 2022.06a
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    • pp.230-237
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    • 2022
  • It is difficult to predict industrial accidents in the construction industry because many accident factors, such as human-related factors and environment-related factors, affect the accidents. Many studies have analyzed the severity of injuries and types of accidents; however, there were few studies on the prediction of injured body parts. This study aims to develop a classification model to predict the part of the injured body based on accident-related factors. Construction accident cases from June 2018 to July 2021 provided by the Korea Construction Safety Management Integrated Information were collected through web crawling and then preprocessed. A naïve Bayes classifier, one of the supervised learning algorithms, was employed to construct a classification model of the injured body part, which has four categories: 1) torso, 2) upper extremity, 3) head, and 4) lower extremity. The predictor variables are accident type, type of work, facility type, injury source, and activity type. As a result, the average accuracy for each injured body part was 50.4%. The accuracy of the upper extremity and lower extremity was relatively higher than the cases of the torso and head. Unlike the other classifications, such as spam mail filtering, a naïve Bayes classifier does not provide a good classification performance in construction accidents. The reasons are discussed in the study. Based on the results of this study, more detailed guidelines for construction safety management can be provided, which help establish safety measures at the construction site.

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Construction of Training Data and Model Training for YOLOv4-based Factory Operation Safety Management (YOLOv4 기반의 공장 근로자 안전관리를 위한 학습 데이터 구축과 모델 학습)

  • Lee, Taejun;Cho, Minwoo;Song, Jiho;Hwang, Chulhyun;Jung, Heokyung
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2021.05a
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    • pp.252-254
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    • 2021
  • According to the Institute for Occupational Safety and Health, the number of industrial injuries in 2019 was 109,242, an increase of 6.8% from 2018. In this situation, the government and companies are discussing the development of core technologies for preventing safety accidents on site based on ICT in the field of construction and construction. In these fields, technologies using computer vision and artificial intelligence have recently been widely used. In this paper, we built training data for safety management of factory workers and trained a model based on YOLOv4. It is believed that this can be used as an initial study to predict the risk situation of workers in factories.

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Construction Equipment Accidents by Time

  • Jung, Hyunho;Kang, Youngcheol;Kang, Sanghyeok
    • International conference on construction engineering and project management
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    • 2020.12a
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    • pp.179-187
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    • 2020
  • This paper investigates the construction equipment accidents by time. Construction sites are unique with many different hazardous conditions which cause accidents. According to the Occupational Safety and Health Administration (OSHA), accidents related to construction equipment are one of the most leading causes of fatal injuries in the construction industry. While there have been many studies investigating the equipment-related accidents, few research studies provided in-depth analyses about the time that accidents frequently occurred. By using the OSHA accidents data collected between 1997 and 2012, this paper analyzed the accidents data by time, equipment type including excavator, backhoe, dozer, and crane, accident cause, and injury class. The analyses revealed that the time window with most accidents was between 13:00 and 13:59. In terms of the injury class, the time windows with the highest numbers of equipment accidents were between 13:00 and 13:59 and between 11:00 and 11:59 for fatality and hospitalization, respectively. For the accident causes, equipment operator's error was the highest number of accident causes. It is expected that findings from the analyses can be used to more strategically develop management plans and guidelines to prevent accidents related to construction equipment to practitioners.

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