정신질환으로 인한 한국의 산업재해 = A Study on the Prevention of Industrial

다국어 초록 (Multilingual Abstract)

This study conducted an investigation and analysis on the status of industrial injury due to mental disease based on statistics on employment and labor at the Ministry of Employment and Labor and data on industrial injury for three years from 2014 to 2016. The study was analyzed for 195 people who received approval for industrial injury due to mental disease from 2014 to 2016.
Analysis of industrial injury caused by mental disease between 2014 and 2016 showed 136 males(69.7%) and 59 females(30.3%). A detailed analysis showed that for males, 82(60.3%) and 54(39.7%) died of the disease. In the case of females, 57(96.6%) were affected by the disease and 2(3.4%) were killed by the disease. According to analysis by mental disease, depression was the highest among males at 41(30.1%), while that of females was the highest at 24(40.7%). Analysis by age showed that males aged 40 to 49 were the highest at 59(43.4%), while females aged 30 to 39 were the highest at 19 (32.2%). According to analysis by service period, males had the highest ratio of less than 37(27.2%), while females had the highest share of 24(40.7%) less than one year and less than five years
Research on industrial injury caused by mental disease in Korea and countermeasures are currently actively underway due to increased social interest. Based on the results of this study, it is believed that industrial injury prevention studies due to domestic mental disease should be conducted continuously and realistic preventive measures should be prepared that can be applied to the workplace.

국문 초록 (Abstract)

본 연구는 고용노동부 고용노동통계와 2014년~2016년 3년간 산업재해 현황 자료를 바탕으로 정신질환으로 인한 산업재해현황에 대하여 조사 및 분석을 실시하였다. 연구대상은 2014년~2016년간 정신질환으로 산재승인을 받은 195명을 대상으로 분석하였다.
2014년~2016년간 정신질환으로 인한 산업재해발생 현황을 분석한 결과 남자는 136명(69.7%), 여자가 59명(30.3%)으로 나타나고 있다. 세부분석 결과 업무상질병 구분별로는 남자의 경우 질병이환자가 82명(60.3%), 질병사망자는 54명(39.7%)으로 나타났다. 여자의 경우 질병이환자가 57명(96.6%), 질병사망자는 2명(3.4%)로 나타났다. 정신질환별 분석결과 남자의 경우 우울증이 41명(30.1%)으로 가장 높은 비율을 나타냈으며, 여자의 경우 적응장애가 24명
(40.7%)로 가장 높은 비율을 나타냈다. 연령별 분석결과 남자의 경우 40~49세가 59명(43.4%으)로 가장 높은 비율을 나타났으며, 여자의 경우 30~39세가 19명(32.2%)으로 가장 높은 비율을 나타냈다. 근속기간별 분석결과 남자의 경우 1년 미만이 37명(27.2%)으로 가장 비율이 높으며, 여자의 경우 1년이상~5년미만이 24명(40.7%)으로 가장 높은 점유율을 나타냈다.
국내의 정신질환으로 인한 산업재해의 연구와 대책 마련은 사회적 관심 증가로 현재 활발히 진행 중이다. 본 연구결과를 토대로 국내 정신질환으로 인한 산업재해 예방 연구가 지속적으로 시행되어야 하며 사업장에 적용될 수 있는 현실적인 예방대책의 마련이 필요하다고 사료된다.

목차 (Table of Contents)

• Ⅰ. 서론 ····································································································· 1
• 1. 연구 배경 ········································································································· 1
• 2. 연구 필요성 및 목적 ····················································································· 3
• Ⅱ. 정신질환의 고찰 ··············································································· 5
• 1. 정신질환의 정의 ····························································································· 5
• 1) 업무상 정신질환의 정의 ··········································································· 5
• 2) 대표적인 업무상 정신질환 ······································································· 7
• 2. 정신질환의 산업재해 승인절차 ································································· 9
• 3. 영국의 정신질환 발생현황 ······································································· 16
• 1) 개요 ············································································································· 16
• 2) 직종별 정신질환 발생현황 ····································································· 17
• 3) 성별 및 연령별 정신질환 발생현황 ····················································· 17
• 4) 사업장 규모별 정신질환 발생현황 ······················································· 18
• 4. 일본의 정신질환 발생현황 ······································································· 19
• 1) 개요 ············································································································· 19
• 2) 일본의 정신질환 발생현황 ····································································· 19
• Ⅲ. 연구방법 ··························································································· 22
• 1. 연구개요 ········································································································· 22
• 2. 연구대상 ········································································································· 22
• Ⅳ. 연구 결과 및 분석 ········································································· 23
• 1. 남·녀별 정신질환 발생현황 ····································································· 23
• 1) 업무상질병 구분별 분석결과 ································································· 23
• 2) 정신질환별 분석결과 ··············································································· 24
• 3) 연령별 분석결과 ······················································································· 25
• 4) 근속기간별 분석결과 ··············································································· 26
• 5) 사업장 규모별 분석결과 ········································································· 27
• 6) 사업장 업종별 분석결과 ········································································· 28
• 7) 근무형태별 분석결과 ··············································································· 29
• 2. 업무상 정신질환에 대한 대책 ··································································· 29
• Ⅴ. 결론 및 고찰 ··················································································· 33
• 참 고 문 헌 ···························································································· 35