25 research outputs found

    ์ž„์‹ ๋ถ€์˜ ์น˜์€์—ผ ์ดํ™˜์— ์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š” ์š”์ธ๋ถ„์„

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    ์—ญํ•™๋ฐ์งˆ๋ณ‘๊ด€๋ฆฌํ•™๊ณผ/์„์‚ฌ[ํ•œ๊ธ€] ์ด ์—ฐ๊ตฌ๋Š” ํ•œ๊ตญ์ธ ์ž„์‹ ๋ถ€์˜ ์น˜์€์—ผ ์ดํ™˜๊ณผ ๊ด€๋ จ๋œ ์—ญํ•™์ ์ธ ์š”์ธ์„ ์•Œ์•„๋ณด๊ณ ์ž ์‹ค์‹œ๋˜์—ˆ๋‹ค. ์—ฐ๊ตฌ๋Œ€์ƒ์€ ๊ฒฝ๊ธฐ๋„์— ์†Œ์žฌํ•œ ์•ˆ์‚ฐ์‹œ ๋ณด๊ฑด์†Œ ๋ชจ์ž๋ณด๊ฑด์‹ค์— ์ •๊ธฐ๊ฒ€์ง„์„ ์œ„ํ•˜์—ฌ ๋ฐฉ๋ฌธํ•œ ์ž„์‹ ๋ถ€ 211๋ช…์ด์—ˆ๋‹ค. ์น˜ํƒœ์ง€์ˆ˜, ์น˜์„์ง€์ˆ˜, ์น˜์€์—ผ์ง€์ˆ˜๋ฅผ ์ด์šฉํ•˜์—ฌ ์ž„์‹ ๋ถ€์˜ ์น˜์€์—ผ ์ดํ™˜์ •๋„๋ฅผ ์ธก์ •ํ•˜๊ณ , ์„ค๋ฌธ์ง€๋ฅผ ์ด์šฉํ•˜์—ฌ ๊ตฌ๊ฐ•๋ณด๊ฑด์ง€์‹, ๊ตฌ๊ฐ•๋ณด๊ฑดํ–‰๋™, ๊ตฌ๊ฐ•์œ„์ƒ์šฉํ’ˆ ์‚ฌ์šฉ ๋“ฑ์„ ์กฐ์‚ฌํ•˜์˜€๋‹ค. ํ†ต๊ณ„ ๋ถ„์„์€ SAS pakage program์„ ์ด์šฉํ•˜์—ฌ ๋นˆ๋„๋ถ„์„(frequency), T - test, ๋ถ„์‚ฐ๋ถ„์„(ANOVA), ์ƒ๊ด€๊ด€๊ณ„(correlation), ๋‹ค์ค‘ํšŒ๊ท€๋ถ„์„(multiple regression analysi s)์„ ์‹ค์‹œํ•˜์˜€๋‹ค. ์—ฐ๊ตฌ ๊ฒฐ๊ณผ๋Š” ๋‹ค์Œ๊ณผ ๊ฐ™๋‹ค. ์ฒซ์งธ, ์ด ์ž„์‹ ๋ถ€์˜ ์น˜ํƒœ์ง€์ˆ˜์˜ ํ‰๊ท ์ง€์ˆ˜ 1.1, ์น˜์„์ง€์ˆ˜์˜ ํ‰๊ท ์ง€์ˆ˜ 1.1, ์น˜์€์—ผ์ง€์ˆ˜์˜ ํ‰๊ท ์ง€์ˆ˜๋Š” 1.5์ด๋ฉฐ, ์ด ์„ธ ์ง€์ˆ˜๋“ค๊ฐ„์—๋Š” ์œ ์˜ํ•œ ์ƒ๊ด€๊ด€๊ณ„๋ฅผ ๋ณด์˜€๋‹ค. ๋‘˜์งธ, ์ธ๊ตฌ์‚ฌํšŒํ•™์  ์š”์ธ์—์„œ ์†Œ๋“์ด ๋†’์•„์งˆ์ˆ˜๋ฅต ์น˜์€์—ผ์ง€์ˆ˜๊ฐ€ ๊ฐ์†Œํ•˜์˜€๊ณ , ์ž„์‹ ์ „ ๊ฐ„์‹ํšŸ์ˆ˜๊ฐ€ ์ฆ๊ฐ€ํ• ์ˆ˜๋ก ์น˜์„์ง€์ˆ˜, ์น˜์€์—ผ์ง€์ˆ˜๋„ ๊ฐ์†Œํ•˜๋Š” ๊ฒฝํ–ฅ์„ ๋ณด์˜€๋‹ค. ์…‹์งธ, ์ž„์‹ ๋ง๊ธฐ์— ์น˜์€์—ผ์ง€์ˆ˜๊ฐ€ ๊ฐ€์žฅ ๋†’์•˜๊ณ , ์ž„์‹ ์ดˆ๊ธฐ, ์ž„์‹ ์ค‘๊ธฐ ์ˆœ์œผ๋กœ ๋‚ฎ์•„์กŒ์œผ๋ฉฐ, ์น˜์„์ง€์ˆ˜๋„ ๊ฐ™์€ ๊ฒฝํ–ฅ์„ ๋ณด์˜€๋‹ค. ๋„ค์งธ, ๊ตฌ๊ฐ•๋ณด๊ฑด์ง€์‹๋„๊ฐ€ ๋†’์„์ˆ˜๋ก ์น˜ํƒœ์ง€์ˆ˜, ์น˜์„์ง€์ˆ˜๊ฐ€ ๊ฐ์†Œํ•˜์˜€์œผ๋ฉฐ, ํ†ต๊ณ„ํ•™์ ์œผ๋กœ ์œ ์˜ํ•œ ๊ด€๊ณ„๋ฅผ ๋ณด์˜€๋‹ค. ๋‹ค์„ฏ์งธ, ๊ตฌ๊ฐ•๊ฑด๊ฐ•ํ–‰๋™์œผ๋กœ๋Š” ์ €๋… ์‹ํ›„ ์ž‡์†”์งˆ์—์„œ ๋‹ฆ๋Š”๋‹ค๋Š” ์‘๋‹ต์ž์˜ ๊ฒฝ์šฐ ์น˜์„์ง€์ˆ˜๊ฐ€ ์œ ์˜ํ•˜๊ฒŒ ๊ฐ์†Œํ•˜์˜€๊ณ , 5๋…„ ์ด๋‚ด ์น˜๊ณผ์˜๋ฃŒ๊ธฐ๊ด€์— ๋ฐฉ๋ฌธ๊ฒฝํ—˜์ด ์žˆ๋Š” ์‘๋‹ต์ž์—์„œ ์น˜ํƒœ์ง€์ˆ˜, ์น˜์„์ง€์ˆ˜, ์น˜์€์—ผ์ง€์ˆ˜๊ฐ€ ์œ ์˜ํ•˜๊ฒŒ ๊ฐ์†Œํ•˜์˜€์œผ๋ฉฐ, ์น˜๋ฉด์„ธ๋งˆ์—์„œ๋Š”ํšŸ์ˆ˜๊ฐ€ ์ฆ๊ฐ€ํ• ์ˆ˜๋ฅต ์น˜์€์—ผ์ง€์ˆ˜๊ฐ€ ๊ฐ์†Œํ•˜์˜€๋‹ค. ๋ณด์ฒ ๋ฌผ ์žฅ์ฐฉํ›„ ์ž‡๋ชธ์˜ ์•…ํ™”๋ฅผ ๋Š๋ผ์ง€ ๋ชปํ•œ๋‹ค๋Š” ์‘๋‹ต์ž์—์„œ ์น˜์„์ง€์ˆ˜, ์น˜์€์—ผ์ง€์ˆ˜๊ฐ€ ์œ ์˜ํ•˜๊ฒŒ ๊ฐ์†Œํ•˜์˜€๋‹ค. ์—ฌ์„ฏ์งธ, ๊ตฌ๊ฐ•์œ„์ƒ์šฉํ’ˆ์œผ๋กœ๋Š” ์ด์‘ค์‹œ๊ฐœ๋ฅผ ์‚ฌ์šฉํ•˜์ง€ ์•Š๋Š”๋‹ค๋Š” ์‘๋‹ต์ž์—์„œ ์น˜์„์ง€์ˆ˜, ์น˜์€์—ผ์ง€์ˆ˜๊ฐ€ ์œ ์˜ํ•˜๊ฒŒ ๊ฐ์†Œํ•˜์˜€๊ณ , ์น˜ํƒœ์ง€์ˆ˜๋„ ๊ฐ™์€ ๊ฒฝํ–ฅ์„ ๋ณด์˜€์œผ๋ฉฐ, ์‹ํ›„ ๊ปŒ ์ €์ž‘์„ ํ•˜์ง€ ์•Š๋Š”๋‹ค๋Š” ์‘๋‹ต์ž์—์„œ ์น˜์„์ง€์ˆ˜๊ฐ€ ์œ ์˜ํ•˜๊ฒŒ ์ฆ๊ฐ€ํ•˜๋ช„์œผ๋ฉฐ, ์น˜์€์—ผ์ง€์ˆ˜๋„ ์œ ์‚ฌํ•œ ๊ฒฝํ–ฅ์„ ๋ณด ์˜€๋‹ค. ์น˜์‹ค์„ ์‚ฌ์šฉํ•˜๋Š” ์‘๋‹ต์ž์—์„œ๋Š” ์น˜์„์ง€์ˆ˜๊ฐ€ ์œ ์˜ํ•˜๊ฒŒ ๊ฐ์†Œํ•จ์„ ๋ณด์˜€์œผ๋ฉฐ ์น˜์€์—ผ์ง€์ˆ˜๋„ ๊ฐ™์€ ๊ฒฝํ–ฅ์„ ๋ณด์˜€๋‹ค. ๊ฒฐ๋ก ์ ์œผ๋กœ ์น˜ํƒœ์ง€์ˆ˜, ์น˜์„์ง€์ˆ˜ ๋ฐ ์น˜์€์—ผ์ง€์ˆ˜์™€ ๊ด€๋ จ์žˆ๋Š” ์š”์ธ์œผ๋กœ๋Š” ์ž„์‹ ์ „ ๊ฐ„์‹ํšŸ์ˆ˜, ์ž„์‹ ์‹œ๊ธฐ, 5๋…„์ด๋‚ด ์น˜๊ณผ๋ฐฉ๋ฌธ ๊ฒฝํ—˜ ์—ฌ๋ถ€, ๋ณด์ฒ ๋ฌผ ์žฅ์ฐฉํ›„์˜์ž‡๋ชธ ์•…ํ™” ์—ฌ๋ถ€, ์ด์‘ค์‹œ๊ฐœ ์‚ฌ์šฉ ์—ฌ๋ถ€ ๋ฐ ์‹ํ›„ ๊ปŒ ์ €์ž‘ ๋“ฑ์ด ์œ ์˜ํ•˜์˜€๋‹ค. ๋”ฐ๋ผ์„œ ๋ณธ ์—ฐ๊ตฌ๋Š” ์ž„์‹ ๋ถ€์˜ ์น˜์€์—ผ ์ดํ™˜์˜ ์š”์ธ์œผ๋กœ์จ ์ž„์‹ ๋ถ€์˜ ์ž„์‹  ์ „ํ›„ ๊ตฌ๊ฐ•๊ด€๋ จ ํ–‰์œ„๊ฐ€ ์ค‘์š”ํ•จ์„ ์ œ์‹œํ•˜๊ณ  ์žˆ๋‹ค. [์˜๋ฌธ] The purpose of this study was to analyse the factor of gingivitis among pregnant women. The subjects of this study were 211 expectant mothers visiting at mother-child health center belonging to the public health center in Ansan, Kyoungki province. Plaque index, caucus index, and gingivitis index were used in order to measure the level of gingivitis among pregnant women. Knowledge and behavior about oral health and use of goods for oral hygiene were surveyed with a questionnaire. In this analysis ShS pakage program were employed. The results of analysis were as following: 1. The average index of plaque index was 1.1, that of caucus index was 1.1, and that of gingivitis index was 1.5. There was a significant correlation among three indices. 2. Gingivitis index was reduced as an income was increased and it was lessened as frequency of eating between main meals was increased. 3. The third trimester of gestation period had the highest gingivitis index and the second trimester had the lowest index. Callus index also showed the sameresults. 4. Plaque index and calcus index were lowered as the score of knowledge about oral health were high. It showed the statistically sigpigicant difference. 5. Caucus index of respondents who said to brush their teeth after dinner were clearly lessened. Those who had experiences of visiting dental clinic for the past 5 years had a remarkably low plaque index, calaus index, and gingivitis indexis. And the increase of scaling frequency makes gingivitis index decrease. The respondents to say that gingiva didn't get worse after setting dental prosthesis show that callus index and gingivitis index were obviously cutback. 6. The respondents not to use toothpicks as things for oral hygiene had a low caucus index, gingivitis index, plaque index and subjects not to chew gum after meals display a higher calcus index and gingivitis indexis. In addition calaus index and gingivitis index of the respondents who use a dental floss were significantly decreaased. In conclusion, there were some factors which influence plaque index, caucus index and gingivitis index : the frequency of having a snack before pregnancy, the time of having a baby, experiences of visiting dental clinic for the past 5 years. the level of gingival state after setting dental crown, whether toothpicks are used or not, chewing gum after meals and so on. These were also elements that can factors of gingivitis to pregnant women. It was noted that behaviors for oral health during perinatal period are important.restrictio

    Small Manufacturing Industry Implementation of Occupational Safety and Health Education and Occurrence of Industrial Accidents

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    ๋ณธ ์—ฐ๊ตฌ๋Š” ์‚ฐ์—…์•ˆ์ „๋ณด๊ฑด๊ณต๋‹จ ์ œ9์ฐจ ์‚ฐ์—…์•ˆ์ „๋ณด๊ฑด์‹คํƒœ์กฐ์‚ฌ ์›์‹œ์ž๋ฃŒ๋ฅผ ์ด์šฉํ•˜์—ฌ ์‚ฐ์—…์žฌํ•ด ๋ฐœ์ƒ ์š”์ธ๊ณผ ์•ˆ์ „๋ณด๊ฑด๊ต์œก ์‹ค์‹œ์š”์ธ์„ ๋ถ„์„ํ•˜๋Š”๋ฐ ๋ชฉ์ ์ด ์žˆ๋‹ค. ์—ฐ๊ตฌ ๋Œ€์ƒ์€ ์‚ฐ์—…์•ˆ์ „๋ณด๊ฑด๊ณต๋‹จ์—์„œ 2018๋…„ ์กฐ์‚ฌํ•œ ์ œ9์ฐจ ์‚ฐ์—…์•ˆ์ „๋ณด๊ฑด์‹คํƒœ์กฐ์‚ฌ ์ž๋ฃŒ ์ค‘ ์ œ์กฐ์—…์˜ ์ƒ์‹œ๊ทผ๋กœ์ž๊ฐ€ 50-99์ธ์ธ ์‚ฌ์—…์žฅ 1,210๊ฐœ์ด๋‹ค. ๋ณธ ์—ฐ๊ตฌ๋Š” ๊ณ ๋ น์ž ๋ถ„ํฌ, ์™ธ๊ตญ์ธ ๋ถ„ํฌ, ์—ฌ์„ฑ ๊ทผ๋กœ์ž ๋ถ„ํฌ, ๋…ธ๋™์กฐํ•ฉ ์œ ๋ฌด, ์•ˆ์ „๋ณด๊ฑด๊ด€๋ฆฌ์กฐ์ง ์œ ๋ฌด, ์•ˆ์ „๊ด€๋ฆฌ์ž ์„ ์ž„ ํ˜•ํƒœ, ์‚ฌ์—…์ฃผ ๊ด€์‹ฌ, ์•ˆ์ „๋ณด๊ฑด๊ต์œก์‹ค์‹œ ์—ฌ๋ถ€, ๊ณ ์šฉ๋…ธ๋™๋ถ€ ์ •์ฑ…์ธ์ง€์— ๋”ฐ๋ฅธ ์‚ฐ์—…์žฌํ•ด ๋ฐœ์ƒ ์—ฌ๋ถ€๋ฅผ ๋ถ„์„ํ•˜์˜€๋‹ค. ๋˜ํ•œ ์•ˆ์ „๊ด€๋ฆฌ์ž ์„ ์ž„ ํ˜•ํƒœ, ๋…ธ๋™์กฐํ•ฉ ์œ ๋ฌด, ์‚ฌ์—…์ฃผ ๊ด€์‹ฌ, ๊ณ ์šฉ๋…ธ๋™๋ถ€ ์ •์ฑ…์ธ์ง€, ์‚ฐ์—…์žฌํ•ด ๋ฐœ์ƒ์— ๋”ฐ๋ฅธ ์•ˆ์ „๋ณด๊ฑด๊ต์œก์‹ค์‹œ์— ๋Œ€ํ•˜์—ฌ ๋ถ„์„ํ•˜์˜€๋‹ค. ์‚ฐ์—…์žฌํ•ด๋Š” ๊ณ ๋ น์ž ๋ถ„ํฌ๊ฐ€ ๋†’์€ ๊ตฐ, ์™ธ๊ตญ์ธ ๋ถ„ํฌ๊ฐ€ ๋†’์€ ๊ตฐ, ์—ฌ์„ฑ ๊ทผ๋กœ์ž ๋ถ„ํฌ๊ฐ€ ๋‚ฎ์€ ๊ตฐ, ์‚ฌ์—…์ฃผ ๊ด€์‹ฌ์ด ๋†’์€ ๊ตฐ, ์•ˆ์ „๋ณด๊ฑด๊ต์œก์‹ค์‹œ๊ฐ€ ๋‚ฎ์€ ๊ตฐ์—์„œ ๋ฐœ์ƒ์ด ๋†’์•˜๋‹ค. ์•ˆ์ „๋ณด๊ฑด์— ๋Œ€ํ•œ ์‚ฌ์—…์ฃผ ๊ด€์‹ฌ์ด ๋†’์€ ๊ตฐ์—์„œ ์‚ฐ์—…์žฌํ•ด ๋ฐœ์ƒ์ด ๋†’์•„ ์˜ˆ์ƒ๊ณผ ๋‹ค๋ฅธ ๊ฒฐ๊ณผ๋ฅผ ๋ณด์˜€๋Š”๋ฐ, ์ด๋Š” ์‚ฌ์—…์ฃผ ๊ด€์‹ฌ๋„ ์กฐ์‚ฌ ์‹œ์ ์ด ์‚ฐ์—…์žฌํ•ด ๋ฐœ์ƒ ์ดํ›„์˜€๊ธฐ ๋•Œ๋ฌธ์ธ ๊ฒƒ์œผ๋กœ ํŒ๋‹จ๋œ๋‹ค. ์•ˆ์ „๋ณด๊ฑด๊ต์œก์€ ์•ˆ์ „๊ด€๋ฆฌ์ž ์„ ์ž„ ํ˜•ํƒœ๊ฐ€ ์ „๋‹ด์ธ ๊ฒฝ์šฐ, ์‚ฌ์—…์ฃผ ๊ด€์‹ฌ์ด ๋†’์€ ๊ตฐ, ๊ณ ์šฉ๋…ธ๋™๋ถ€ ์ •์ฑ…์ธ์ง€๊ฐ€ ๋†’์€ ๊ตฐ์—์„œ ์‹ค์‹œ๊ฐ€ ๋†’์•˜๋‹ค. ๊ฒฐ๋ก ์ ์œผ๋กœ ์•ˆ์ „๋ณด๊ฑด๊ต์œก ์‹ค์‹œ๊ฐ€ ๋†’์€ ๊ตฐ์—์„œ ์‚ฐ์—…์žฌํ•ด ๋ฐœ์ƒ์ด ๋‚ฎ์•˜๊ณ , ์•ˆ์ „๋ณด๊ฑด๊ต์œก์€ ์•ˆ์ „๊ด€๋ฆฌ์ž ์ „๋‹ด์ž๊ฐ€ ์žˆ๋Š” ์‚ฌ์—…์žฅ, ์‚ฌ์—…์ฃผ ๊ด€์‹ฌ์ด ๋†’์€ ์‚ฌ์—…์žฅ, ๊ณ ์šฉ๋…ธ๋™๋ถ€์˜ ์ •์ฑ…์„ ์ž˜ ์ธ์ง€ํ•˜๋Š” ์‚ฌ์—…์žฅ์ด ์‹ค์‹œ๋ฅผ ์ž˜ํ•˜์˜€๋‹ค. ๋”ฐ๋ผ์„œ ์†Œ๊ทœ๋ชจ ์ œ์กฐ์—… ์‚ฌ์—…์žฅ์€ ์ •์ฑ…ํ™œ๋™์„ ํ†ตํ•ด ์•ˆ์ „๋ณด๊ฑด๊ต์œก ์‹ค์‹œ๋ฅผ ๋†’์ผ ์ˆ˜ ์žˆ๊ณ , ๋†’์€ ๊ต์œก์‹ค์‹œ๋Š” ์‚ฐ์—…์žฌํ•ด ์˜ˆ๋ฐฉ์— ๋„์›€์ด ๋  ๊ฒƒ์ด๋‹ค. The purpose of this study is to analyze the factors of occupational accidents and safety and health education implementation factors using raw data of the 9th Occupational Safety and Health Survey by the Occupational Safety and Health Agency. The subject of this study is 1,210 workplaces with 50-99 full-time workers in the manufacturing industry among the data of the 9th Occupational Safety and Health Survey conducted in 2018 by the Occupational Safety and Health Agency. This study analyzed the occurrence of industrial accidents according to the distribution of the elderly, the distribution of foreigners, the distribution of female workers, the presence or absence of a labor union, the presence of a safety and health management organization, the type of safety manager appointment, the employer's interest, whether or not safety and health education was implemented, and whether or not the Ministry of Employment and Labor policy. In addition, the types of safety manager appointment, presence of labor union, employer interest, recognition of the Ministry of Employment and Labor policy, and safety and health education in accordance with the occurrence of industrial accidents were analyzed. The occurrence of occupational accidents was higher in the group with a high distribution of the elderly, a high distribution of foreigners, a low distribution of female workers, a high interest in employers, and a low safety and health education. It was expected that the incidence of industrial accidents would be low in the county where employers' interest in safety and health was high, but the opposite result was obtained. This is believed to be due to the fact that the survey on the interest of business owners was after the occurrence of an industrial accident. Safety and health education was highly conducted in the county where the employer's interest was high and the Ministry of Employment and Labor's policy awareness was high when the type of safety manager appointment was exclusive. In conclusion, the occurrence of occupational accidents was low in the county where safety and health education was high, and safety and health education was conducted well in workplaces with a dedicated safety manager, workplaces with high interest from employers, and workplaces that were well aware of the policies of the Ministry of Employment and Labor. Therefore, small-scale manufacturing workplaces can increase the implementation of safety and health education through policy activities, and high education will help prevent industrial accidents.open์„
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