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    (A) study on the websites of medical institutions registered to attract foreign patients

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    ๋ณด๊ฑด๊ด€๋ฆฌํ•™์ „๊ณต/์„์‚ฌ์ด ์—ฐ๊ตฌ์˜ ๋ชฉ์ ์€ ์™ธ๊ตญ์ธํ™˜์ž ์œ ์น˜๋“ฑ๋ก ์˜๋ฃŒ๊ธฐ๊ด€์˜ ์›น์‚ฌ์ดํŠธ ์ •๋ณดํ˜„ํ™ฉ์„ ์กฐ์‚ฌํ•˜์—ฌ ์‹คํƒœ๋ฅผ ํŒŒ์•…ํ•˜๋Š”๋ฐ ์žˆ๋‹ค. ์ด๋ฅผ ์œ„ํ•˜์—ฌ 2009๋…„ 5์›” 1์ผ๋ถ€ํ„ฐ 2010๋…„ 4์›” 13์ผ๊นŒ์ง€ ์™ธ๊ตญ์ธํ™˜์ž ์œ ์น˜๋“ฑ๋กํ•œ 1,594๊ฐœ์˜ ์˜๋ฃŒ๊ธฐ๊ด€ ์›น์‚ฌ์ดํŠธ๋ฅผ ๋Œ€์ƒ์œผ๋กœ ์กฐ์‚ฌํ•˜์˜€๋‹ค. ์™ธ๊ตญ์–ด ์›น์‚ฌ์ดํŠธ๋ฅผ ๋ณด์œ ํ•œ ์˜๋ฃŒ๊ธฐ๊ด€์€ 515๊ฐœ๋กœ ์•ฝ 32.3%์˜€๊ณ  ์ด ์ค‘ ์˜์–ด ์›น์‚ฌ์ดํŠธ, ์ด 243๊ฐœ์˜ ์›น์‚ฌ์ดํŠธ๋ฅผ ์ตœ์ข… ์กฐ์‚ฌ ๋Œ€์ƒ์œผ๋กœ ์„ ์ •ํ•˜์˜€๋‹ค. ์กฐ์‚ฌ๋‚ด์šฉ์€ ํŠน์„ฑํ•ญ๋ชฉ์„ ์ปจํ…์ธ , ์‚ฌ์šฉ์žํŽธ์˜, ๋””์ž์ธ, ์ƒํ˜ธ์ž‘์šฉ์„ฑ ๋“ฑ 4๊ฐ€์ง€๋กœ ๋ถ„๋ฅ˜ํ•˜๊ณ  ํ•˜์œ„ ์˜์—ญ์„ ๊ตฌ์„ฑ, ์ธก์ •ํ‘œ๋ฅผ ์ž‘์„ฑํ•˜์—ฌ ์กฐ์‚ฌํ•˜์˜€๋‹ค. ๊ทธ๋ฆฌ๊ณ  ์œ„์˜ ๋„ค ๊ฐ€์ง€ ํŠน์„ฑ์„ ์ „์ฒด์ ์œผ๋กœ ์‚ดํŽด๋ณด๊ณ , ์˜๋ฃŒ๊ธฐ๊ด€์„ ๊ทœ๋ชจ๋ณ„๊ณผ ์ง€์—ญ๋ณ„๋กœ ๋‚˜๋ˆ„์–ด์„œ ๋น„๊ต๋ถ„์„ ํ•˜์˜€๋‹ค. ์˜๋ฃŒ๊ธฐ๊ด€ ์™ธ๊ตญ์–ด ์›น์‚ฌ์ดํŠธ์˜ ํ˜„ํ™ฉ์„ ์‚ดํŽด๋ณด๋ฉด, ์ปจํ…์ธ  ์ธก๋ฉด์—์„œ ์ „ํ™”๋ฒˆํ˜ธ, fax, ๋ณ‘์›์œ„์น˜์ •๋ณด, ๊ตํ†ตํŽธ์•ˆ๋‚ด, ์ง„๋ฃŒ๊ณผ, ์˜๋ฃŒ์ง„ ์†Œ๊ฐœ, ์ง„๋ฃŒ ์•ˆ๋‚ด ๋“ฑ์ด ์ฃผ๋กœ ์ œ๊ณต๋˜์—ˆ๋‹ค. ์™ธ๊ตญ์–ด ์„œ๋น„์Šค๋Š” ์˜์–ด, ์ผ๋ณธ์–ด, ์ค‘๊ตญ์–ด ์ˆœ์œผ๋กœ ์ œ๊ณต๋˜๊ณ  ์žˆ์—ˆ๋‹ค. ๋””์ž์ธ์—์„œ ๋ฉ”์ธ ์ด๋ฏธ์ง€๋Š” ์ธ๋ฌผ, ํ™˜๊ฒฝ, ๊ธ€์ž ๋“ฑ์„ ํ˜ผํ•ฉํ•˜์—ฌ ์‚ฌ์ง„ ๊ธฐ๋ฒ•์œผ๋กœ ๋ถ€๋ถ„์  ๋ฐฐ์น˜๋˜์—ˆ๋‹ค. Facebook, Twitter ๋“ฑ์˜ SNS ์—ฐ๊ณ„๋Š” ๋ชจ๋“  ์˜๋ฃŒ๊ธฐ๊ด€์—์„œ ์ „๋ฐ˜์ ์œผ๋กœ ์ œ๊ณต๋˜๋Š” ๋น„์œจ์ด ๋งค์šฐ ๋‚ฎ์•˜๋‹ค. ์ƒ๋‹ด์ฝ”๋„ˆ, Q&A์˜ ์ „์ฒด ๋นˆ๋„์ˆ˜๋„ ๋‚ฎ์€ ๊ฒƒ์œผ๋กœ ๋ณด์•„, ์ „๋ฐ˜์ ์œผ๋กœ ์ธํ„ฐ๋„ท์˜ ์ƒํ˜ธ์ž‘์šฉ์„ฑ์ด ๋–จ์–ด์ง„๋‹ค๊ณ  ๋ณผ ์ˆ˜ ์žˆ์—ˆ๋‹ค. ์˜๋ฃŒ๊ธฐ๊ด€์˜ ๊ทœ๋ชจ์— ๋”ฐ๋ฅธ ์ฃผ์š” ๊ฒฐ๊ณผ๋Š” ์ข…ํ•ฉ๋ณ‘์› ์ด์ƒ์—์„œ๋Š” ๋ณด๋‹ค ๋‹ค์–‘ํ•œ ์ปจํ…์ธ ๋ฅผ ์ œ๊ณตํ•˜๊ณ  ์žˆ๊ณ , ์‚ฌ์šฉ์žํŽธ์˜๋ฅผ ๊ณ ๋ คํ•œ ๊ตฌ์กฐ๋กœ ์›น์‚ฌ์ดํŠธ๋ฅผ ๊ตฌ์„ฑํ•˜๊ณ  ์žˆ์Œ์„ ์•Œ ์ˆ˜ ์žˆ์—ˆ๋‹ค. ์ƒ๊ธ‰์ข…ํ•ฉ๋ณ‘์›๊ณผ ์˜์›์—์„œ๋Š” ์ธํ„ฐ๋„ท์˜ ์ƒํ˜ธ์ž‘์šฉ์„ฑ์„ ๋ณด๋‹ค ๋” ํ™œ์šฉํ•˜๊ณ  ์žˆ์Œ์„ ์•Œ ์ˆ˜ ์žˆ์—ˆ๋‹ค. ์˜๋ฃŒ๊ธฐ๊ด€ ์†Œ์žฌ์ง€์— ๋”ฐ๋ฅธ ์ฃผ์š” ๊ฒฐ๊ณผ๋Š” ์ˆ˜๋„๊ถŒ ์ง€์—ญ ์˜๋ฃŒ๊ธฐ๊ด€์ด ๋น„์ˆ˜๋„๊ถŒ ์ง€์—ญ ์˜๋ฃŒ๊ธฐ๊ด€๋ณด๋‹ค ์™ธ๊ตญ์ธํ™˜์ž ์ ‘๊ทผ์„ฑ ํ–ฅ์ƒ์„ ์œ„ํ•œ ์‹ค์šฉ์ ์ธ ์ •๋ณด๋ฅผ ์ œ๊ณตํ•˜๊ณ , ์ธํ„ฐ๋„ท์˜ ์ƒํ˜ธ์ž‘์šฉ์„ฑ์„ ๋ณด๋‹ค ๋” ํ™œ์šฉํ•˜๊ณ  ์žˆ์Œ์„ ์•Œ ์ˆ˜ ์žˆ์—ˆ๋‹ค. ์ด ์—ฐ๊ตฌ๋Š” ์™ธ๊ตญ์ธํ™˜์ž ์œ ์น˜๋“ฑ๋ก ์˜๋ฃŒ๊ธฐ๊ด€์˜ ์›น์‚ฌ์ดํŠธ์˜ ์‹คํƒœ๋ฅผ ํŒŒ์•…ํ•˜๊ณ , ํ–ฅํ›„ ์™ธ๊ตญ์ธํ™˜์ž ์œ ์น˜๋ฅผ ์œ„ํ•œ ์›น์‚ฌ์ดํŠธ ์ œ์ž‘ ๋ฐ ์šด์˜์— ๊ฐœ์„ ์ ์„ ์ œ๊ณตํ•˜๊ณ ์ž ํ•˜์˜€๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ ํ•œ ๊ฐ€์ง€ ์–ธ์–ด ์‚ฌ์ดํŠธ๋งŒ ์กฐ์‚ฌํ•˜์—ฌ ์–ธ์–ด ์‚ฌ์šฉ์ž ๋ฌธํ™”์— ๋”ฐ๋ฅธ ์›น์‚ฌ์ดํŠธ ์ฐจ์ด๋ฅผ ํŒŒ์•…ํ•˜์ง€ ๋ชปํ•˜์˜€๊ณ , ๊ฐ ์กฐ์‚ฌ ํ•ญ๋ชฉ์ด ์‚ฌ์‹ค์— ๊ทผ๊ฑฐํ•œ ์œ ๋ฌด ์œ„์ฃผ๋กœ ํŒ๋‹จ๋˜์—ˆ๊ธฐ ๋•Œ๋ฌธ์— ์ฃผ๊ด€์  ํŒ๋‹จ์— ์ค€ํ•œ ํ‰๊ฐ€์˜ ๋„๊ตฌ๋กœ ์‚ฌ์šฉํ•˜๊ธฐ์—๋Š” ๋ฌด๋ฆฌ๊ฐ€ ์žˆ๋‹ค. ํ–ฅํ›„ ์—ฐ๊ตฌ์—์„œ๋Š” ์™ธ๊ตญ์ธํ™˜์ž ์œ ์น˜๋“ฑ๋ก ์˜๋ฃŒ๊ธฐ๊ด€์˜ ๋‹ค๋ฅธ ์™ธ๊ตญ์–ด ์›น์‚ฌ์ดํŠธ์˜ ์‹คํƒœ ์กฐ์‚ฌ๋„ ํŒŒ์•…ํ•  ํ•„์š”๊ฐ€ ์žˆ๊ณ , ์™ธ๊ตญ์–ด ์›น์‚ฌ์ดํŠธ ํ‰๊ฐ€ ์—ฐ๊ตฌ ๋ฐ ์™ธ๊ตญ์ธํ™˜์ž ๋Œ€์ƒ์œผ๋กœ ์›น์‚ฌ์ดํŠธ ์ ‘์ด‰ ๊ฒฝํ—˜์ด ์น˜๋ฃŒ ๋งŒ์กฑ๋„์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์— ๊ด€ํ•œ ๊ณ ์ฐฐ์ด ํ•„์š”ํ•˜๊ฒ ๋‹คope

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    ํ•™์œ„๋…ผ๋ฌธ(์„์‚ฌ) -- ์„œ์šธ๋Œ€ํ•™๊ต๋Œ€ํ•™์› : ํ–‰์ •๋Œ€ํ•™์› ํ–‰์ •ํ•™๊ณผ(์ •์ฑ…ํ•™์ „๊ณต), 2022.2. ๊น€์ค€๊ธฐ.์šฐ๋ฆฌ๋‚˜๋ผ์˜ ์‚ฌํšŒ์ ๊ธฐ์—… ์ œ๋„๋Š” ๊ณ ์šฉ๋…ธ๋™๋ถ€์˜ ์‚ฌํšŒ์ ์ผ์ž๋ฆฌ ์‚ฌ์—…์—์„œ ์ถœ๋ฐœํ•˜์—ฌ 2008๋…„ ์ธ์ฆ์ œ๋„๋กœ ์ž๋ฆฌ์žก์•˜๋‹ค. ์ทจ์•ฝ๊ณ„์ธต ์ผ์ž๋ฆฌ ์ฐฝ์ถœ์„ ๋ชฉํ‘œ๋กœ ํ•˜๋Š” ์‚ฌํšŒ์ ๊ธฐ์—… ์ง€์› ์ •์ฑ…์˜ ์˜ˆ์‚ฐ ๋Œ€๋ถ€๋ถ„์€ ์žฌ์ •์ง€์› ์ผ์ž๋ฆฌ, ๊ทธ ์ค‘์—์„œ๋„ ์ผ์ž๋ฆฌ ์ง€์›๊ธˆ์— ์ง‘์ค‘๋˜์–ด ์žˆ๋‹ค. ๊ณ ์šฉ๋…ธ๋™๋ถ€ ๋“ฑ์ด ์ œ์‹œํ•˜๋Š” ์‚ฌํšŒ์ ๊ธฐ์—… ์ง€์›์‚ฌ์—…์˜ ํšจ๊ณผ๋Š” ์ •์ฑ…์ˆ˜๋‹จ๋ณ„ ๋ถ„์„์ด ์•„๋‹Œ ์ „์ฒด ์‚ฌํšŒ์ ๊ธฐ์—…์˜ ์–‘์  ์ฆ๊ฐ€, ๊ณ ์šฉ๊ทœ๋ชจ ์ฆ๊ฐ€, ํ‰๊ท  ์ƒ์กด๋ฅ  ๋“ฑ์„ ์ œ์‹œํ•˜๋ฉฐ ์ „๋ฐ˜์ ์ธ ์ƒํƒœ๊ณ„ ์กฐ์„ฑ๊ณผ ์„ฑ์žฅ์„ ์ค‘์‹ฌ์œผ๋กœ ๋…ผ์˜๋˜์–ด ์™”๋‹ค. ์ด์— ์‚ฌํšŒ์ ๊ธฐ์—…์„ ๋Œ€์ƒ์œผ๋กœ ํ•œ ๊ณ ์šฉ๋ณด์กฐ๊ธˆ์˜ ์ •ํ™•ํ•œ ํšจ๊ณผ์™€ ํšจ์œจ์„ฑ์„ ํŒ๋‹จํ•ด ๋ณด๊ณ ์ž, ์ž์œจ๊ฒฝ์˜๊ณต์‹œ์— ๋ฐ˜๋ณตํ•˜์—ฌ ์ฐธ์—ฌํ•œ ๊ธฐ์—…๋“ค์˜ ์ž๋ฃŒ ํŒจ๋„ ํ˜•์‹์œผ๋กœ ์ข…ํ•ฉํ•˜์—ฌ ์ด์ค‘์ฐจ๋ถ„์„์„ ํ†ตํ•ด ์ •์ฑ… ํšจ๊ณผ๋ฅผ ๋ถ„์„ํ•˜์˜€๋‹ค. 2016๋…„ ์ง€์›๋ฐ›์€ ์‚ฌํšŒ์ ๊ธฐ์—…๊ณผ ์ง€์›์„ ๋ฐ›์ง€ ์•Š์€ ์‚ฌํšŒ์ ๊ธฐ์—… ๊ทธ๋ฃน์˜ ์ง€์› ์ด์ „ ์‹œ์ (2015๋…„)๊ณผ ์ง€์› ํ›„ 4๋…„์ฐจ ์‹œ์ (2019๋…„)์˜ ์„ฑ๊ณผ๋ฅผ ๋น„๊ตํ•˜์˜€๋Š”๋ฐ, ์ผ์ž๋ฆฌ ์ง€์›๊ธˆ์˜ ๊ฒฝ์šฐ ์‹ ๊ทœ ์ฑ„์šฉ ์ธ๋ ฅ์˜ ์ธ๊ฑด๋น„๋ฅผ ์ง€์›ํ•˜๋Š” ์กฐ๊ฑด์œผ๋กœ 3๋…„๊นŒ์ง€ ์ง€์›๋ฐ›์„ ์ˆ˜ ์žˆ๋Š” ์ ์„ ๊ฐ์•ˆํ•˜๋ฉด ์ง€์› ํ›„ 4๋…„์ฐจ์˜ ๊ณ ์šฉ์„ ์‹ค์งˆ์ ์ธ ์ •์ฑ…์˜ ์‚ฐ์ถœ๋กœ ๋ณผ ์ˆ˜ ์žˆ์„ ๊ฒƒ์ด๋‹ค. ๋ถ„์„ ๊ฒฐ๊ณผ, ์ผ์ž๋ฆฌ ์ง€์›๊ธˆ์€ ์ „์ฒด ๊ณ ์šฉ๊ณผ ์ทจ์•ฝ๊ณ„์ธต ๊ณ ์šฉ ์ฆ๊ฐ€์— ๊ธ์ •์  ํšจ๊ณผ๊ฐ€ ์žˆ์—ˆ์œผ๋‚˜ ๋งค์ถœ๊ณผ ๋‹น๊ธฐ์ˆœ์ด์ต, ๋ถ€์ฑ„๋น„์œจ์—๋Š” ์œ ์˜ํ•œ ํšจ๊ณผ๊ฐ€ ๋ฐœ์ƒํ•˜์ง€ ์•Š์•˜๋‹ค. ์ผ์ž๋ฆฌ ์ง€์›๊ธˆ์ด ๊ณ ์šฉ์˜ ์ฆ๊ฐ€๋ผ๋Š” ๋‹จ๊ธฐ ํšจ๊ณผ๋Š” ์ฐฝ์ถœํ•˜๊ณ  ์žˆ์œผ๋‚˜ ์ด๋Ÿฌํ•œ ์ผ์ž๋ฆฌ๊ฐ€ ์ค‘์žฅ๊ธฐ์—๋„ ์œ ์ง€๋ ์ง€๋Š” ๋ถˆํ™•์‹คํ•œ ๊ฒƒ์ด๋‹ค. ๋˜ํ•œ ์„ ํ–‰ ์—ฐ๊ตฌ ๋“ฑ์— ๋น„์ถ”์–ด ์ผ์ž๋ฆฌ ์ง€์›๊ธˆ์˜ ํšจ๊ณผ ์ค‘ ์ƒ๋‹น๋ถ€๋ถ„์€ ์ง€์›๊ธˆ ๋•Œ๋ฌธ์— ์ฐฝ์ถœ๋œ ๊ณ ์šฉ์ด ์•„๋‹Œ, ์ง€์› ์—ฌ๋ถ€์™€ ๋ฌด๊ด€ํžˆ ๊ณ ์šฉ ์˜์‚ฌ๊ฐ€ ์žˆ๋Š” ๊ธฐ์—…์— ๋น„์šฉ์„ ์ง€์›ํ•œ ์‚ฌ์ค‘์†์‹ค์ผ ๊ฐ€๋Šฅ์„ฑ์ด ๋†’๋‹ค. ์ง€์›๊ธˆ์„ ๋ฐ›์€ ์ผ์ž๋ฆฌ๊ฐ€ ์ง€์› ์ข…๋ฃŒ ํ›„ ์ง€์†๋˜์ง€ ์•Š๋Š”๋‹ค๋ฉด ํšจ์œจ์„ฑ์ด ๋‚ฎ์€ ์ •์ฑ…์ˆ˜๋‹จ์ด ์ง€์†๋˜๊ณ  ์žˆ๋‹ค๊ณ  ๋ณด์•„์•ผ ํ•œ๋‹ค. ์‚ฌํšŒ๋ณดํ—˜๋ฃŒ ์ง€์›์˜ ๊ฒฝ์šฐ ๋‹น๊ธฐ์ˆœ์ด์ต, ๋งค์ถœ, ์œ ๊ธ‰๊ทผ๋กœ์ž ํ‰๊ท ์ž„๊ธˆ, ๊ณ ์šฉ ๋ชจ๋‘์— ์œ ์˜ํ•œ ํšจ๊ณผ๊ฐ€ ๋‚˜ํƒ€๋‚˜์ง€ ์•Š์•˜๋‹ค. ์‚ฌํšŒ๋ณดํ—˜ ์‚ฌ๊ฐ์ง€๋Œ€๊ฐ€ ์‚ฌ์‹ค์ƒ ์กด์žฌํ•˜์ง€ ์•Š๋Š” ์‚ฌํšŒ์ ๊ธฐ์—…์— ์ง€์›ํ•œ ์‚ฌํšŒ๋ณดํ—˜๋ฃŒ๊ฐ€ ์ƒ์‚ฐ๋น„์šฉ์„ ๊ฐ์ถ•ํ•˜์—ฌ ์‹œ์žฅ๊ฒฝ์Ÿ๋ ฅ ๊ฐ•ํ™”๋กœ ์ด์–ด์ ธ ๋งค์ถœ์„ ์ฆ๊ฐ€์‹œํ‚ค๊ฑฐ๋‚˜ ๋น„์šฉ ๊ฐ์†Œ๋กœ ์ธํ•œ ์ˆœ์ด์ต ์ฆ๊ฐ€ ํšจ๊ณผ๊ฐ€ ๋‚˜ํƒ€๋‚˜์ง€ ์•Š์€ ๊ฒƒ์ด๋‹ค. ์ €์†Œ๋“ ๊ทผ๋กœ์ž ์†Œ๋“ ๋ณด์ „์˜ ํšจ๊ณผ๋„ ์—†์–ด์„œ ํ†ต์ƒ ์‚ฌํšŒ๋ณดํ—˜๋ฃŒ ์ง€์› ์ •์ฑ…์— ๊ธฐ๋Œ€ํ•  ์ˆ˜ ์žˆ๋Š” ์–ด๋– ํ•œ ๊ฒฐ๊ณผ๋„ ํ™•์ธ๋˜์ง€ ์•Š์•˜๋‹ค. ์‚ฌํšŒ์ ๊ธฐ์—…์— 10๋…„๊ฐ„ ์ง€์†์ ์œผ๋กœ ์‚ฌํšŒ๋ณดํ—˜๋ฃŒ๋ฅผ ์ง€์›ํ•œ ์ •์ฑ… ๋ชฉ์ ์ด ๋ฌด์—‡์ธ์ง€, ์‚ฌํšŒ๋ณดํ—˜๋ฃŒ ์ง€์›์ด ํ•ด๋‹น ๋ชฉํ‘œ์— ๋ถ€ํ•ฉํ•˜๋Š” ์ •์ฑ… ์ˆ˜๋‹จ์ธ์ง€ ์žฌ๊ณ ํ•ด ๋ณผ ํ•„์š”๊ฐ€ ์žˆ๊ฒ ๋‹ค.Korea's social enterprise system grew out of the Ministry of Employment and Labor's social jobs program and became a certification system in 2008. The majority of the government's financial assistance funding for social entrepreneurs goes to employment creation. Quantitative growth, increasing employment, and the average survival rate of all social enterprises have been used by the government as indicators of social enterprise policy. In order to judge the exact effect and effectiveness of employment subsidies for social enterprises The data from voluntary disclosures was reorganized into panel data and analyzed using the difference-in-differenc method. The study began with a comparison of two groups, monetary assistance program participants and non-participants, in 2015, a year before involvement, and 2019, the fourth year after participation. Because the subsidy is available for three years, the data from the fourth year after participation is considered a policy output rather than a medium or long-term outcome. According to the findings, subsidies for jobs help to boost (vulnerable) employment, but had no meaningful impact on sales, net profit, or debt ratio. It can be deduced that, despite generating an immediate output-short-term employment, the employment subsidy for social enterprises is possibly not a suitable means of job sustainability. Furthermore, job aid may not result in new employment; instead, it may provide a monetary benefit to a business owner who is willing to hire additional employees regardless of whether or not the support is provided. If the subsidy-sponsored job does not continue once the support ends, it should be assumed that inefficient policy measures are still in place. There was no substantial effect on net profit, sales, average wage for paid workers, or employment in the case of the social insurance subsidy. The provision of social insurance subsidies to social enterprises that almost fully insure their employees did not result in increased market competitiveness, increased sales, or increased net profit due to lower expenses. There was no influence on low-wage workers' income. Any effect that can be predicted from the social insurance subsidy has been discovered. It is necessary to evaluate what the policy goal of providing social insurance subsidies to social businesses for more than ten years is, and whether social insurance subsidies are an appropriate policy tool for achieving the goal.์ œ 1 ์žฅ ์„œ๋ก  1 ์ œ 1 ์ ˆ ์—ฐ๊ตฌ๋ชฉ์  ๋ฐ ํ•„์š”์„ฑ 1 ์ œ 2 ์ ˆ ์—ฐ๊ตฌ์˜ ๋Œ€์ƒ๊ณผ ๋ฒ”์œ„ 3 ์ œ 2 ์žฅ ์ด๋ก ์  ๋ฐฐ๊ฒฝ๊ณผ ์„ ํ–‰์—ฐ๊ตฌ ๊ฒ€ํ†  4 ์ œ 1 ์ ˆ ๊ณ ์šฉ๋ณด์กฐ๊ธˆ 4 1. ์ •์ฑ…์ˆ˜๋‹จ์œผ๋กœ์„œ์˜ ๋ณด์กฐ๊ธˆ 4 2. ๊ณ ์šฉ๋ณด์กฐ๊ธˆ 5 ์ œ 2 ์ ˆ ์ผ์ž๋ฆฌ์ง€์›์‚ฌ์—… 7 1. ์žฌ์ •์ง€์› ์ผ์ž๋ฆฌ์‚ฌ์—… 7 2. ์‚ฌํšŒ๋ณดํ—˜๋ฃŒ ์ง€์› 9 3. ์‚ฌํšŒ์ ๊ธฐ์—… ์žฌ์ •์ง€์› ์ผ์ž๋ฆฌ์‚ฌ์—… 10 ์ œ 3 ์ ˆ ์‚ฌํšŒ์ ๊ธฐ์—… 12 1. ์‚ฌํšŒ์ ๊ธฐ์—…์˜ ์˜์˜ 12 2. ํ•œ๊ตญ์˜ ์‚ฌํšŒ์ ๊ธฐ์—… ์ œ๋„ 16 3. ํ•œ๊ตญ์˜ ์‚ฌํšŒ์ ๊ธฐ์—… ํ˜„ํ™ฉ 18 4. ์‚ฌํšŒ์ ๊ธฐ์—… ์ž์œจ๊ฒฝ์˜๊ณต์‹œ 21 5. ์ •๋ถ€์ง€์›์ด ์‚ฌํšŒ์ ๊ธฐ์—… ์„ฑ๊ณผ์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ 21 ์ œ 3 ์žฅ ์—ฐ๊ตฌ ์„ค๊ณ„ ๋ฐ ๋ถ„์„ ๋ฐฉ๋ฒ• 24 ์ œ 1 ์ ˆ ์—ฐ๊ตฌ๋ฌธ์ œ ๋ฐ ๊ฐ€์„ค ์„ค์ • 25 ์ œ 2 ์ ˆ ์ž๋ฃŒ ์ˆ˜์ง‘ 28 ์ œ 3 ์ ˆ ๋ถ„์„ ๋ฐฉ๋ฒ• 29 ์ œ 4 ์ ˆ ๋ณ€์ˆ˜ ์„ค์ • 31 1. ๋…๋ฆฝ๋ณ€์ˆ˜ 31 2. ์ข…์†๋ณ€์ˆ˜ 32 3. ํ†ต์ œ๋ณ€์ˆ˜ 33 4. ์—ฐ๊ตฌ ๋ชจํ˜• 34 ์ œ 4 ์žฅ ์—ฐ๊ตฌ ๋ถ„์„ ๋ฐ ๊ฒฐ๊ณผ 34 ์ œ 1 ์ ˆ ๊ธฐ์ดˆํ†ต๊ณ„๋Ÿ‰ ๋ฐ ์ƒ๊ด€๋ถ„์„ 35 ์ œ 2 ์ ˆ ์‹ค์ฆ๋ถ„์„ ๊ฒฐ๊ณผ 40 1. ๊ฐ€์„ค1์— ๋Œ€ํ•œ ์‹ค์ฆ๋ถ„์„ 40 2. ๊ฐ€์„ค2์— ๋Œ€ํ•œ ์‹ค์ฆ๋ถ„์„ 43 3. ๊ฐ€์„ค3์— ๋Œ€ํ•œ ์‹ค์ฆ๋ถ„์„ 48 ์ œ 5 ์žฅ ๊ฒฐ๋ก  57 ์ œ 1 ์ ˆ ์—ฐ๊ตฌ๊ฒฐ๊ณผ ์š”์•ฝ ๋ฐ ๋ถ„์„ 57 ์ œ 2 ์ ˆ ์ •์ฑ…์  ์‹œ์‚ฌ์  58 ์ œ 3 ์ ˆ ์—ฐ๊ตฌ์˜ ์˜์˜์™€ ํ•œ๊ณ„ 60 ์ฐธ๊ณ ๋ฌธํ—Œ 62 Abstract 66์„

    Chidren's dental health status in relation to their mother's oral health knowledge and practices

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    ์—ญํ•™ ๋ฐ ์งˆ๋ณ‘๊ด€๋ฆฌํ•™๊ณผ/์„์‚ฌ[ํ•œ๊ธ€] ๋ณธ ์—ฐ๊ตฌ๋Š” ์–ด๋จธ๋‹ˆ์˜ ๊ตฌ๊ฐ•๊ฑด๊ฐ•์ง€์‹๊ณผ ๊ตฌ๊ฐ•๊ฑด๊ฐ•ํ–‰๋™(์‹ค์ฒœํ–‰์œ„) ๋ฐ ์‚ฌํšŒ์ธ๊ตฌํ•™์ ์ธ ์š”์ธ์ด ์ž๋…€์˜ ๊ตฌ๊ฐ•๊ฑด๊ฐ•์ƒํƒœ์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์„ ์•Œ์•„๋ณด๊ณ ์ž ํ•œ๋‹ค. ๊ณผ์ฒœ์ดˆ๋“ฑํ•™๊ต 4, 5ํ•™๋…„ ์–ด๋ฆฐ์ด 440๋ช…์„ ๋Œ€์ƒ์œผ๋กœ ๊ตฌ๊ฐ•๊ฒ€์ง„์„ ์‹œํ–‰ํ•˜์˜€๋‹ค. ๊ณผ์ฒœ์ดˆ๋“ฑํ•™๊ต๋ฅผ ํ†ตํ•˜์—ฌ ๊ตฌ๊ฐ•๊ฒ€์ง„ ๋Œ€์ƒ์ž์˜ ์–ด๋จธ๋‹ˆ๋“ค์—๊ฒŒ ์„ค๋ฌธ์ง€๋ฅผ ๋ฐฐํฌํ•˜์˜€๊ณ  ๊ฐœ๋ณ„์ž๊ธฐ๊ธฐ์ž…์‹์œผ๋กœ ์กฐ์‚ฌ, ํšŒ์ˆ˜ํ•˜์˜€๋‹ค. ์‘๋‹ต์ž๋Š” 329๋ช…์œผ๋กœ 74.8%์˜ ์‘๋‹ต๋ฅ ์„ ๋‚˜ํƒ€๋‚ด์—ˆ์œผ๋ฉฐ, ๋ถˆ์†Œ์™€ ์น˜์ฃผ์งˆํ™˜์— ๋Œ€ํ•œ ์ง€์‹, ์ž๋…€์˜ ๊ตฌ๊ฐ•์งˆ๋ณ‘์˜ˆ๋ฐฉ์„ ์œ„ํ•œ ํšจ๊ณผ์ ์ธ ๋ฐฉ๋ฒ•์˜ ์ธ์ง€์ •๋„, ์นซ์†”์งˆํšŸ์ˆ˜, ์˜ˆ๋ฐฉ๋ชฉ์ ์˜ ์น˜๊ณผ๋ฐฉ๋ฌธ์ˆ˜, ์ž๋…€์˜ ๊ตฌ๊ฐ• ๊ฑด๊ฐ•์„ ์œ„ํ•œ ์‹ค์ฒœ๋ฐฉ๋ฒ•๋“ค, ์—ฐ๋ น, ์ง์—…, ๊ต์œก์ˆ˜์ค€, ์†Œ๋“์ˆ˜์ค€์— ๋Œ€ํ•œ ์กฐ์‚ฌ๋ฅผ ์‹œํ–‰ํ•˜์˜€๋‹ค. ์„ค๋ฌธ์ง€์˜ ์‹ ๋ขฐ์„ฑ์„ ์ธก์ •ํ•˜๊ธฐ ์œ„ํ•ด 2์ฃผํ›„์— 2์ฐจ ์„ค๋ฌธ์กฐ์‚ฌ๋ฅผ ์‹œํ–‰ํ•˜์˜€๋‹ค. ์ข…์†๋ณ€์ˆ˜๋Š” ์ž๋…€์˜ ๊ตฌ๊ฐ•๊ฑด๊ฐ•์ƒํƒœ๋ฅผ ๋‚˜ํƒ€๋‚ด๋Š” ์šฐ์‹๊ฒฝํ—˜์˜๊ตฌ์น˜๋ฉด์ˆ˜์ด๋ฉฐ ๋…๋ฆฝ๋ณ€์ˆ˜์˜ ์ˆ˜์ค€์— ๋”ฐ๋ผ ๋‚˜๋‰œ ์ง‘๋‹จ๊ณผ ์šฐ์‹๊ฒฝํ—˜์˜๊ตฌ์น˜๋ฉด์˜ ์œ , ๋ฌด์— ์˜ํ•œ ์ง‘๋‹จ๊ฐ„์˜ ๊ด€๋ จ์„ฑ์€ ์นด์ด์ œ๊ณฑ๊ฒ€์ • (ฯ‡2-test / Fisher's exact test)์„ ํ†ตํ•˜์—ฌ ๋ถ„์„ํ•˜์˜€๋‹ค. ์–ด๋จธ๋‹ˆ์˜ ๊ตฌ๊ฐ•๊ฑด๊ฐ•์ง€์‹์ˆ˜์ค€๊ณผ ํ–‰๋™๊ฐ„์˜ ๊ด€๋ จ์„ฑ ์—ญ์‹œ ์นด์ด์ œ๊ณฑ๊ฒ€์ • (ฯ‡2-test/ Fisher's exact test)์„ ์‹œํ–‰ํ•˜์˜€๊ณ  ์ž๋…€์˜ ๊ตฌ๊ฐ•๊ฑด๊ฐ•์ƒํƒœ์— ์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š” ๋‹ค์š”์ธ์— ๋Œ€ํ•œ ํ†ต์ œ๋ฅผ ์œ„ํ•ด ๋‹จ๊ณ„๋ณ„ ๋กœ์ง€์Šคํ‹ฑ ํšŒ๊ท€๋ถ„์„์„ ์ด์šฉํ•˜์—ฌ ๋ถ„์„ํ•˜์˜€๋‹ค. ๊ฒฐ๊ณผ๋Š” ๋‹ค์Œ๊ณผ ๊ฐ™๋‹ค. ์ฒซ์งธ, ์–ด๋จธ๋‹ˆ์˜ ์น˜์ฃผ์งˆํ™˜์— ๋Œ€ํ•œ ์ง€์‹์ˆ˜์ค€์ด ๋†’์„์ˆ˜๋ก ์ž๋…€๊ฐ€ ์šฐ์‹์น˜๋ฉด์„ ๊ฐ€์งˆ ์œ„ํ—˜์€ ๊ฐ์†Œํ•˜์˜€๋‹ค. ์ฆ‰ ์–ด๋จธ๋‹ˆ์˜ ๊ตฌ๊ฐ•๊ฑด๊ฐ•์ง€์‹์ˆ˜์ค€์ด ๋†’์œผ๋ฉด ์ž๋…€์˜ ์น˜์•„์šฐ์‹์ฆ์€ ์˜ˆ๋ฐฉ๋  ์ˆ˜ ์žˆ๋Š” ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ์ž๋…€์˜ ์ƒ์•… ๊ตํ•ฉ๋ฉด์˜ ํ˜•ํƒœ๊ฐ€ ์ค‘๊ฐ„(middle)์ธ ๊ฒฝ์šฐ๋Š” ์–•์€(shallow) ๊ฒฝ์šฐ๋ณด๋‹ค ์šฐ์‹๋ฐœ์ƒ ์œ„ํ—˜์ด 3.4๋ฐฐ ๋†’์•˜๊ณ  ์ด๋Š” ํ†ต๊ณ„์ ์œผ๋กœ ์œ ์˜ํ•˜์˜€๋‹ค. ํ•˜์•… ๊ตํ•ฉ๋ฉด ํ˜•ํƒœ์—์„œ๋Š” ๊นŠ์€(deep) ์ง‘๋‹จ์ด ์–•์€ ์ง‘๋‹จ๋ณด๋‹ค ์šฐ์‹๋ฐœ์ƒ์„ ๊ฒฝํ—˜ํ•  ์œ„ํ—˜์ด 2.4๋ฐฐ ๋†’์•˜์œผ๋‚˜ ์œ ์˜ํ•˜์ง„ ์•Š์•˜๊ณ  ์ค‘์š”ํ•œ ์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š” ๊ฒฝํ–ฅ(p=0.099)์„ ๋‚˜ํƒ€๋ƒˆ๋‹ค. ๋‘˜์งธ, ์–ด๋จธ๋‹ˆ๋Š” ๋ถˆ์†Œ์˜ ์—ญํ• ๊ณผ ํšจ๊ณผ์— ๋Œ€ํ•œ ๊ตฌ์ฒด์ ์ธ ์ง€์‹์€ ์•Œ๊ณ  ์žˆ์ง€๋ชปํ•˜์˜€๋‹ค. ์–ด๋จธ๋‹ˆ๊ฐ€ ์ž๋…€์˜ ๊ตฌ๊ฐ•์งˆ๋ณ‘์˜ˆ๋ฐฉ์„ ์œ„ํ•œ ํšจ๊ณผ์ ์ธ ๋ฐฉ๋ฒ•์— ๋Œ€ํ•œ ์ธ์ง€์ •๋„๋ฅผ 5์ ์ฒ™๋„(1:๋งค์šฐ ํšจ๊ณผ์ , 5:์ „ํ˜€ ํšจ๊ณผ์—†๋‹ค)๋กœ ์ธก์ •ํ•œ ๊ฒฐ๊ณผ, ์ •๊ธฐ์ ์ธ ์น˜๊ณผ๋ฐฉ๋ฌธ์ด 1.79, ๋‹น๋ถ„์„ญ์ทจ์˜ ์ œํ•œ์ด 2.04, ์น˜์•„ํ™ˆ๋ฉ”์šฐ๊ธฐ 2.13, ์ „๋ฌธ๊ฐ€ ๋ถˆ์†Œ๋„ํฌ 2.35, ๋ถˆ์†Œ์น˜์•ฝ 2.46, ๋ถˆ์†Œ์–‘์น˜์•ก ์‚ฌ์šฉ 2.53, ๋ถˆ์†Œํ™” ์ˆ˜๋—๋ฌผ ๋จน๊ธฐ 2.60, ์ ์–ด๋„ ํ•˜๋ฃจ์— ํ•œ๋ฒˆ ์น˜์‹ค ์‚ฌ์šฉ 2.65์˜ ์ˆœ์„œ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ์…‹์งธ, ์–ด๋จธ๋‹ˆ์˜ ๊ตฌ๊ฐ•๊ฑด๊ฐ•ํ–‰๋™ ๋ณ€์ˆ˜์™€ ์‚ฌํšŒ์ธ๊ตฌํ•™์ ์ธ ์š”์ธ ์ค‘ ์ž๋…€์˜ ์šฐ์‹๋ฐœ์ƒ๊ฒฝํ—˜๊ณผ ํ†ต๊ณ„์ ์œผ๋กœ ์œ ์˜ํ•œ ๋ณ€์ˆ˜๋Š” ์—†์—ˆ๋‹ค. ์–ด๋จธ๋‹ˆ์˜ ํ•˜๋ฃจ ํ‰๊ท  ์นซ์†”์งˆ ํšŸ์ˆ˜๋Š” 2.5ํšŒ(median:2)์ด๋ฉฐ ๋ณธ์ธ์˜ ์—ฐํ‰๊ท  ์˜ˆ๋ฐฉ๋ชฉ์  ์น˜๊ณผ๋ฐฉ๋ฌธ์ˆ˜๋Š” 0.5ํšŒ(median:0)์˜€๋‹ค. ์–ด๋จธ๋‹ˆ๊ฐ€ ์ž๋…€์—๊ฒŒ ๊ตฌ๊ฐ• ๊ฑด๊ฐ•์„ ์œ„ํ•ด ์ค‘์š”์„ฑ ๊ต์œก, ์นซ์†”์งˆ ์ง€๋„ ๋ฐ ๋‹น๋ถ„์„ญ์ทจ์ œํ•œ์„ ์ž์ฃผ ํ•˜๋Š” ๊ฒƒ์œผ๋กœ ์‘๋‹ตํ•˜์˜€๋‹ค. ๋„ค์งธ, ์šฐ์‹๊ฒฝํ—˜์˜๊ตฌ์น˜๋ฉด์ˆ˜๊ฐ€ 1์ด์ƒ์ธ ์ง‘๋‹จ๋‚ด์—์„œ๋Š” ์–ด๋จธ๋‹ˆ์˜ ๊ต์œก์ˆ˜์ค€์ด ๋†’์„์ˆ˜๋ก, ์ž๋…€๋ฅผ ์œ„ํ•œ ์น˜๊ณผ๋ฐฉ๋ฌธ์„ ์ž์ฃผํ• ์ˆ˜๋ก ์šฐ์‹์น˜๋ฉด์„ ๋ชจ๋‘ ์ถฉ์ „ํ•œ ์ง‘๋‹จ์˜ ๋น„์œจ์ด ํ†ต๊ณ„์ ์œผ๋กœ ์œ ์˜ํ•˜๊ฒŒ ์ฆ๊ฐ€ํ•˜์˜€๋‹ค. [์˜๋ฌธ] The purpose of this study is to assess how mothers' oral health knowledge, practices and sociodemographic factors influence on their children's dental health status. Children of grade 4 and 5 were selected at Kwachun elementary school. The total number was 440. The response mothers of them were 329 by questionnaire. Data were collected by oral examination on children and questionnaire survey on their mothers in May and November in 1997. Independent variables were mother's knowledge and practices on oral health, sociodemographic factors. Dependent variable was DMFS. The results were as follows; 1. Mothers' knowledge about periodontal disease had statistically significant relationship with the occurrence of children's DMFS. It supports that mothers' oral health knowledge playes an important role in preventing children's oral disease. The middle group of morphology score in maxilla first molar had higher risk of dental caries than the shallow one. The odds ratio was 3.4 and statistically significant. The odds ratio of the deep group in mandible first molar was 2.1 but it was not statistically significant(p=0.099). 2. Mothers probably didn't know concretely about the role and effect of fluoride. Mothers' ratings of effectiveness of methods to prevent children's tooth decay(1 : very effective, 5 : not effective) were revealed ordinarily regular dental visit, reducing intake of sugared foods, pit and fissure sealants, fluoride application at a dental office, brush of fluoride toothpaste and so forth. 3. There were no significant variables of mothers' practice which affected on children's DMFS. So were sociodemographic factors. 4. According to mothers' higher education level and more frequent dental visit for children, the percentage of the children whose decayed surfaces have been filled completely was increased in 'yes' group of DMFS.restrictio

    ๋Œ€๋‘์˜ ๋ฐฐ ํŠน์ด์„ฑ thionin ์œ ์‚ฌ ๋‹จ๋ฐฑ์งˆ ์œ ์ „์ž์˜ ๋ฐœ์ƒํ•™์  ๋ฐœํ˜„ ์กฐ์ ˆ

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    Thesis (doctoral)--์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› :์ƒ๋ฌผํ•™๊ณผ,1995.Docto

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    ์šฐ๋ฆฌ๋‚˜๋ผ์˜ ์‚ฌํšŒ์ ๊ธฐ์—… ์ œ๋„๋Š” ๊ณ ์šฉ๋…ธ๋™๋ถ€์˜ ์‚ฌํšŒ์ ์ผ์ž๋ฆฌ ์‚ฌ์—…์—์„œ ์ถœ๋ฐœํ•˜์—ฌ 2008๋…„ ์ธ์ฆ์ œ๋„๋กœ ์ž๋ฆฌ์žก์•˜๋‹ค. ์ทจ์•ฝ๊ณ„์ธต ์ผ์ž๋ฆฌ ์ฐฝ์ถœ์„ ๋ชฉํ‘œ๋กœ ํ•˜๋Š” ์‚ฌํšŒ์ ๊ธฐ์—… ์ง€์› ์ •์ฑ…์˜ ์˜ˆ์‚ฐ ๋Œ€๋ถ€๋ถ„์€ ์žฌ์ •์ง€์› ์ผ์ž๋ฆฌ, ๊ทธ ์ค‘์—์„œ๋„ ์ผ์ž๋ฆฌ ์ง€์›๊ธˆ์— ์ง‘์ค‘๋˜์–ด ์žˆ๋‹ค. ๊ณ ์šฉ๋…ธ๋™๋ถ€ ๋“ฑ์ด ์ œ์‹œํ•˜๋Š” ์‚ฌํšŒ์ ๊ธฐ์—… ์ง€์›์‚ฌ์—…์˜ ํšจ๊ณผ๋Š” ์ •์ฑ…์ˆ˜๋‹จ๋ณ„ ๋ถ„์„์ด ์•„๋‹Œ ์ „์ฒด ์‚ฌํšŒ์ ๊ธฐ์—…์˜ ์–‘์  ์ฆ๊ฐ€, ๊ณ ์šฉ๊ทœ๋ชจ ์ฆ๊ฐ€, ํ‰๊ท  ์ƒ์กด๋ฅ  ๋“ฑ์„ ์ œ์‹œํ•˜๋ฉฐ ์ „๋ฐ˜์ ์ธ ์ƒํƒœ๊ณ„ ์กฐ์„ฑ๊ณผ ์„ฑ์žฅ์„ ์ค‘์‹ฌ์œผ๋กœ ๋…ผ์˜๋˜์–ด ์™”๋‹ค. ์ด์— ์‚ฌํšŒ์ ๊ธฐ์—…์„ ๋Œ€์ƒ์œผ๋กœ ํ•œ ๊ณ ์šฉ๋ณด์กฐ๊ธˆ์˜ ์ •ํ™•ํ•œ ํšจ๊ณผ์™€ ํšจ์œจ์„ฑ์„ ํŒ๋‹จํ•ด ๋ณด๊ณ ์ž, ์ž์œจ๊ฒฝ์˜๊ณต์‹œ์— ๋ฐ˜๋ณตํ•˜์—ฌ ์ฐธ์—ฌํ•œ ๊ธฐ์—…๋“ค์˜ ์ž๋ฃŒ ํŒจ๋„ ํ˜•์‹์œผ๋กœ ์ข…ํ•ฉํ•˜์—ฌ ์ด์ค‘์ฐจ๋ถ„์„์„ ํ†ตํ•ด ์ •์ฑ… ํšจ๊ณผ๋ฅผ ๋ถ„์„ํ•˜์˜€๋‹ค. 2016๋…„ ์ง€์›๋ฐ›์€ ์‚ฌํšŒ์ ๊ธฐ์—…๊ณผ ์ง€์›์„ ๋ฐ›์ง€ ์•Š์€ ์‚ฌํšŒ์ ๊ธฐ์—… ๊ทธ๋ฃน์˜ ์ง€์› ์ด์ „ ์‹œ์ (2015๋…„)๊ณผ ์ง€์› ํ›„ 4๋…„์ฐจ ์‹œ์ (2019๋…„)์˜ ์„ฑ๊ณผ๋ฅผ ๋น„๊ตํ•˜์˜€๋Š”๋ฐ, ์ผ์ž๋ฆฌ ์ง€์›๊ธˆ์˜ ๊ฒฝ์šฐ ์‹ ๊ทœ ์ฑ„์šฉ ์ธ๋ ฅ์˜ ์ธ๊ฑด๋น„๋ฅผ ์ง€์›ํ•˜๋Š” ์กฐ๊ฑด์œผ๋กœ 3๋…„๊นŒ์ง€ ์ง€์›๋ฐ›์„ ์ˆ˜ ์žˆ๋Š” ์ ์„ ๊ฐ์•ˆํ•˜๋ฉด ์ง€์› ํ›„ 4๋…„์ฐจ์˜ ๊ณ ์šฉ์„ ์‹ค์งˆ์ ์ธ ์ •์ฑ…์˜ ์‚ฐ์ถœ๋กœ ๋ณผ ์ˆ˜ ์žˆ์„ ๊ฒƒ์ด๋‹ค. ๋ถ„์„ ๊ฒฐ๊ณผ, ์ผ์ž๋ฆฌ ์ง€์›๊ธˆ์€ ์ „์ฒด ๊ณ ์šฉ๊ณผ ์ทจ์•ฝ๊ณ„์ธต ๊ณ ์šฉ ์ฆ๊ฐ€์— ๊ธ์ •์  ํšจ๊ณผ๊ฐ€ ์žˆ์—ˆ์œผ๋‚˜ ๋งค์ถœ๊ณผ ๋‹น๊ธฐ์ˆœ์ด์ต, ๋ถ€์ฑ„๋น„์œจ์—๋Š” ์œ ์˜ํ•œ ํšจ๊ณผ๊ฐ€ ๋ฐœ์ƒํ•˜์ง€ ์•Š์•˜๋‹ค. ์ผ์ž๋ฆฌ ์ง€์›๊ธˆ์ด ๊ณ ์šฉ์˜ ์ฆ๊ฐ€๋ผ๋Š” ๋‹จ๊ธฐ ํšจ๊ณผ๋Š” ์ฐฝ์ถœํ•˜๊ณ  ์žˆ์œผ๋‚˜ ์ด๋Ÿฌํ•œ ์ผ์ž๋ฆฌ๊ฐ€ ์ค‘์žฅ๊ธฐ์—๋„ ์œ ์ง€๋ ์ง€๋Š” ๋ถˆํ™•์‹คํ•œ ๊ฒƒ์ด๋‹ค. ๋˜ํ•œ ์„ ํ–‰ ์—ฐ๊ตฌ ๋“ฑ์— ๋น„์ถ”์–ด ์ผ์ž๋ฆฌ ์ง€์›๊ธˆ์˜ ํšจ๊ณผ ์ค‘ ์ƒ๋‹น๋ถ€๋ถ„์€ ์ง€์›๊ธˆ ๋•Œ๋ฌธ์— ์ฐฝ์ถœ๋œ ๊ณ ์šฉ์ด ์•„๋‹Œ, ์ง€์› ์—ฌ๋ถ€์™€ ๋ฌด๊ด€ํžˆ ๊ณ ์šฉ ์˜์‚ฌ๊ฐ€ ์žˆ๋Š” ๊ธฐ์—…์— ๋น„์šฉ์„ ์ง€์›ํ•œ ์‚ฌ์ค‘์†์‹ค์ผ ๊ฐ€๋Šฅ์„ฑ์ด ๋†’๋‹ค. ์ง€์›๊ธˆ์„ ๋ฐ›์€ ์ผ์ž๋ฆฌ๊ฐ€ ์ง€์› ์ข…๋ฃŒ ํ›„ ์ง€์†๋˜์ง€ ์•Š๋Š”๋‹ค๋ฉด ํšจ์œจ์„ฑ์ด ๋‚ฎ์€ ์ •์ฑ…์ˆ˜๋‹จ์ด ์ง€์†๋˜๊ณ  ์žˆ๋‹ค๊ณ  ๋ณด์•„์•ผ ํ•œ๋‹ค. ์‚ฌํšŒ๋ณดํ—˜๋ฃŒ ์ง€์›์˜ ๊ฒฝ์šฐ ๋‹น๊ธฐ์ˆœ์ด์ต, ๋งค์ถœ, ์œ ๊ธ‰๊ทผ๋กœ์ž ํ‰๊ท ์ž„๊ธˆ, ๊ณ ์šฉ ๋ชจ๋‘์— ์œ ์˜ํ•œ ํšจ๊ณผ๊ฐ€ ๋‚˜ํƒ€๋‚˜์ง€ ์•Š์•˜๋‹ค. ์‚ฌํšŒ๋ณดํ—˜ ์‚ฌ๊ฐ์ง€๋Œ€๊ฐ€ ์‚ฌ์‹ค์ƒ ์กด์žฌํ•˜์ง€ ์•Š๋Š” ์‚ฌํšŒ์ ๊ธฐ์—…์— ์ง€์›ํ•œ ์‚ฌํšŒ๋ณดํ—˜๋ฃŒ๊ฐ€ ์ƒ์‚ฐ๋น„์šฉ์„ ๊ฐ์ถ•ํ•˜์—ฌ ์‹œ์žฅ๊ฒฝ์Ÿ๋ ฅ ๊ฐ•ํ™”๋กœ ์ด์–ด์ ธ ๋งค์ถœ์„ ์ฆ๊ฐ€์‹œํ‚ค๊ฑฐ๋‚˜ ๋น„์šฉ ๊ฐ์†Œ๋กœ ์ธํ•œ ์ˆœ์ด์ต ์ฆ๊ฐ€ ํšจ๊ณผ๊ฐ€ ๋‚˜ํƒ€๋‚˜์ง€ ์•Š์€ ๊ฒƒ์ด๋‹ค. ์ €์†Œ๋“ ๊ทผ๋กœ์ž ์†Œ๋“ ๋ณด์ „์˜ ํšจ๊ณผ๋„ ์—†์–ด์„œ ํ†ต์ƒ ์‚ฌํšŒ๋ณดํ—˜๋ฃŒ ์ง€์› ์ •์ฑ…์— ๊ธฐ๋Œ€ํ•  ์ˆ˜ ์žˆ๋Š” ์–ด๋– ํ•œ ๊ฒฐ๊ณผ๋„ ํ™•์ธ๋˜์ง€ ์•Š์•˜๋‹ค. ์‚ฌํšŒ์ ๊ธฐ์—…์— 10๋…„๊ฐ„ ์ง€์†์ ์œผ๋กœ ์‚ฌํšŒ๋ณดํ—˜๋ฃŒ๋ฅผ ์ง€์›ํ•œ ์ •์ฑ… ๋ชฉ์ ์ด ๋ฌด์—‡์ธ์ง€, ์‚ฌํšŒ๋ณดํ—˜๋ฃŒ ์ง€์›์ด ํ•ด๋‹น ๋ชฉํ‘œ์— ๋ถ€ํ•ฉํ•˜๋Š” ์ •์ฑ… ์ˆ˜๋‹จ์ธ์ง€ ์žฌ๊ณ ํ•ด ๋ณผ ํ•„์š”๊ฐ€ ์žˆ๊ฒ ๋‹ค.Korea's social enterprise system grew out of the Ministry of Employment and Labor's social jobs program and became a certification system in 2008. The majority of the government's financial assistance funding for social entrepreneurs goes to employment creation. Quantitative growth, increasing employment, and the average survival rate of all social enterprises have been used by the government as indicators of social enterprise policy. In order to judge the exact effect and effectiveness of employment subsidies for social enterprises The data from voluntary disclosures was reorganized into panel data and analyzed using the difference-in-differenc method. The study began with a comparison of two groups, monetary assistance program participants and non-participants, in 2015, a year before involvement, and 2019, the fourth year after participation. Because the subsidy is available for three years, the data from the fourth year after participation is considered a policy output rather than a medium or long-term outcome. According to the findings, subsidies for jobs help to boost (vulnerable) employment, but had no meaningful impact on sales, net profit, or debt ratio. It can be deduced that, despite generating an immediate output-short-term employment, the employment subsidy for social enterprises is possibly not a suitable means of job sustainability. Furthermore, job aid may not result in new employment; instead, it may provide a monetary benefit to a business owner who is willing to hire additional employees regardless of whether or not the support is provided. If the subsidy-sponsored job does not continue once the support ends, it should be assumed that inefficient policy measures are still in place. There was no substantial effect on net profit, sales, average wage for paid workers, or employment in the case of the social insurance subsidy. The provision of social insurance subsidies to social enterprises that almost fully insure their employees did not result in increased market competitiveness, increased sales, or increased net profit due to lower expenses. There was no influence on low-wage workers' income. Any effect that can be predicted from the social insurance subsidy has been discovered. It is necessary to evaluate what the policy goal of providing social insurance subsidies to social businesses for more than ten years is, and whether social insurance subsidies are an appropriate policy tool for achieving the goal.์ œ 1 ์žฅ ์„œ๋ก  1 ์ œ 1 ์ ˆ ์—ฐ๊ตฌ๋ชฉ์  ๋ฐ ํ•„์š”์„ฑ 1 ์ œ 2 ์ ˆ ์—ฐ๊ตฌ์˜ ๋Œ€์ƒ๊ณผ ๋ฒ”์œ„ 3 ์ œ 2 ์žฅ ์ด๋ก ์  ๋ฐฐ๊ฒฝ๊ณผ ์„ ํ–‰์—ฐ๊ตฌ ๊ฒ€ํ†  4 ์ œ 1 ์ ˆ ๊ณ ์šฉ๋ณด์กฐ๊ธˆ 4 1. ์ •์ฑ…์ˆ˜๋‹จ์œผ๋กœ์„œ์˜ ๋ณด์กฐ๊ธˆ 4 2. ๊ณ ์šฉ๋ณด์กฐ๊ธˆ 5 ์ œ 2 ์ ˆ ์ผ์ž๋ฆฌ์ง€์›์‚ฌ์—… 7 1. ์žฌ์ •์ง€์› ์ผ์ž๋ฆฌ์‚ฌ์—… 7 2. ์‚ฌํšŒ๋ณดํ—˜๋ฃŒ ์ง€์› 9 3. ์‚ฌํšŒ์ ๊ธฐ์—… ์žฌ์ •์ง€์› ์ผ์ž๋ฆฌ์‚ฌ์—… 10 ์ œ 3 ์ ˆ ์‚ฌํšŒ์ ๊ธฐ์—… 12 1. ์‚ฌํšŒ์ ๊ธฐ์—…์˜ ์˜์˜ 12 2. ํ•œ๊ตญ์˜ ์‚ฌํšŒ์ ๊ธฐ์—… ์ œ๋„ 16 3. ํ•œ๊ตญ์˜ ์‚ฌํšŒ์ ๊ธฐ์—… ํ˜„ํ™ฉ 18 4. ์‚ฌํšŒ์ ๊ธฐ์—… ์ž์œจ๊ฒฝ์˜๊ณต์‹œ 21 5. ์ •๋ถ€์ง€์›์ด ์‚ฌํšŒ์ ๊ธฐ์—… ์„ฑ๊ณผ์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ 21 ์ œ 3 ์žฅ ์—ฐ๊ตฌ ์„ค๊ณ„ ๋ฐ ๋ถ„์„ ๋ฐฉ๋ฒ• 24 ์ œ 1 ์ ˆ ์—ฐ๊ตฌ๋ฌธ์ œ ๋ฐ ๊ฐ€์„ค ์„ค์ • 25 ์ œ 2 ์ ˆ ์ž๋ฃŒ ์ˆ˜์ง‘ 28 ์ œ 3 ์ ˆ ๋ถ„์„ ๋ฐฉ๋ฒ• 29 ์ œ 4 ์ ˆ ๋ณ€์ˆ˜ ์„ค์ • 31 1. ๋…๋ฆฝ๋ณ€์ˆ˜ 31 2. ์ข…์†๋ณ€์ˆ˜ 32 3. ํ†ต์ œ๋ณ€์ˆ˜ 33 4. ์—ฐ๊ตฌ ๋ชจํ˜• 34 ์ œ 4 ์žฅ ์—ฐ๊ตฌ ๋ถ„์„ ๋ฐ ๊ฒฐ๊ณผ 34 ์ œ 1 ์ ˆ ๊ธฐ์ดˆํ†ต๊ณ„๋Ÿ‰ ๋ฐ ์ƒ๊ด€๋ถ„์„ 35 ์ œ 2 ์ ˆ ์‹ค์ฆ๋ถ„์„ ๊ฒฐ๊ณผ 40 1. ๊ฐ€์„ค1์— ๋Œ€ํ•œ ์‹ค์ฆ๋ถ„์„ 40 2. ๊ฐ€์„ค2์— ๋Œ€ํ•œ ์‹ค์ฆ๋ถ„์„ 43 3. ๊ฐ€์„ค3์— ๋Œ€ํ•œ ์‹ค์ฆ๋ถ„์„ 48 ์ œ 5 ์žฅ ๊ฒฐ๋ก  57 ์ œ 1 ์ ˆ ์—ฐ๊ตฌ๊ฒฐ๊ณผ ์š”์•ฝ ๋ฐ ๋ถ„์„ 57 ์ œ 2 ์ ˆ ์ •์ฑ…์  ์‹œ์‚ฌ์  58 ์ œ 3 ์ ˆ ์—ฐ๊ตฌ์˜ ์˜์˜์™€ ํ•œ๊ณ„ 60 ์ฐธ๊ณ ๋ฌธํ—Œ 62 Abstract 66์„

    Associations of dental disease with medical status.

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    ๋ณด๊ฑดํ•™๊ณผ/๋ฐ•์‚ฌ[ํ•œ๊ธ€] ๋ณธ ์—ฐ๊ตฌ์˜ ์ฒซ ๋ฒˆ์งธ ๋‹จ๊ณ„๋Š” 1995๋…„ ์ธ์ฒœ ์„ธ๋ธŒ๋ž€์Šค๋ณ‘์› ์‚ฐ์—…๋ณด๊ฑด์„ผํ„ฐ์—์„œ ์ง์žฅ์ธ ๊ฑด๊ฐ•๊ฒ€์ง„์„ ๋ฐ›์•˜๋˜ 20์„ธ ์ด์ƒ 24,302๋ช…(๋‚จ์ž 18,114๋ช…, ์—ฌ์ž 6,188๋ช…)์„ ๋Œ€์ƒ์œผ๋กœ ๊ตฌ๊ฐ•๊ฑด๊ฐ•์ธ ๊ฒฐ์†์น˜ ์œ ๋ฌด์™€ ์ „์‹ ๊ฑด๊ฐ• ์ƒํƒœ๋ฅผ ๋‚˜ํƒ€๋‚ด๋Š” ์—ฐ๋ น, ์‹ ์ฒด์งˆ๋Ÿ‰์ง€์ˆ˜, ํ˜ˆ์••, ๊ณต๋ณต์‹œ ํ˜ˆ๋‹น, ํ˜ˆ์ƒ‰์†Œ, ์ด์ฝœ๋ ˆ์Šคํ…Œ๋กค, AST(aspartate transaminase), ํ˜ˆ๋‡จ, ๋‹จ๋ฐฑ๋‡จ, ํก์—ฐ์—ฌ๋ถ€, ๊ทธ๋ฆฌ๊ณ  ์‹ฌํ˜ˆ๊ด€์งˆํ™˜ ๋ฐ ๋‹น๋‡จ๋ณ‘์˜ ๊ธฐ์™•๋ ฅ๊ณผ์˜ ๊ด€๋ จ์„ฑ์„ ์•Œ์•„๋ณด๊ณ ์ž ํ•˜์˜€๋‹ค. ๋‚จ์ž์™€ ์—ฌ์ž๋ฅผ ๋‚˜๋ˆ„์–ด ๋ถ„์„ํ•˜์˜€๋‹ค. ๋‘ ๋ฒˆ์งธ ๋‹จ๊ณ„์—์„œ๋Š” 1997๋…„์—์„œ 1999๋…„๊นŒ์ง€ ์ถ”์ ์กฐ์‚ฌ๋œ ๋Œ€์ƒ์ž 1,084๋ช…(๋‚จ์ž 920๋ช…, ์—ฌ์ž 165๋ช…)์— ๋Œ€ํ•˜์—ฌ ์‹œ์ž‘์—ฐ๋„์ธ 1995๋…„์— ๋น„ํ•ด์„œ ์ƒˆ๋กญ๊ฒŒ ๊ฒฐ์†์น˜์•„๊ฐ€ ๋ฐœ์ƒํ•œ ๊ตฐ์— ๋Œ€ํ•˜์—ฌ ์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š” ์ „์‹ ๊ฑด๊ฐ•๊ด€๋ จ ์š”์ธ์— ๋Œ€ํ•˜์—ฌ ์กฐ์‚ฌํ•˜์˜€๊ณ  ๋ถ„์„์€ ๋‚จ์ž๋งŒ์„ ๋Œ€์ƒ์œผ๋กœ ์‹œํ–‰ํ•˜์˜€๋‹ค. 1995๋…„๋„ ์ž๋ฃŒ์—์„œ๋Š” ์šฐ์„  ๊ตฌ๊ฐ•๋‚ด ๊ฒฐ์†์น˜์•„์˜ ์กด์žฌ ์—ฌ๋ถ€์— ๋”ฐ๋ผ ๋‘ ๊ตฐ์œผ๋กœ ๋‚˜๋ˆ„๊ณ  ์—ฐ๋ น,์‹ ์ฒด์งˆ๋Ÿ‰์ง€์ˆ˜, ์ˆ˜์ถ•๊ธฐํ˜ˆ์••, ์ด์™„๊ธฐํ˜ˆ์••, ํ˜ˆ๋‹น, ํ˜ˆ์ƒ‰์†Œ, ์ด์ฝœ๋ ˆ์Šคํ…Œ๋กค, AST(aspartate transaminase)์˜ ํ‰๊ท ๊ฐ’๊ณผ ํ‘œ์ค€ํŽธ์ฐจ๋ฅผ ๊ตฌํ•˜๊ณ  t-๊ฒ€์ •(t-test)์„ ์‹œํ–‰ํ•˜์˜€์œผ๋ฉฐ, ๋ช…๋ชฉ๋ณ€์ˆ˜๋กœ ์ธก์ •๋œ ๋‹จ๋ฐฑ๋‡จ, ํ˜ˆ๋‡จ, ํก์—ฐ ์—ฌ๋ถ€, ๊ทธ๋ฆฌ๊ณ  ์‹ฌํ˜ˆ๊ด€์งˆํ™˜ ๋ฐ ๋‹น๋‡จ๋ณ‘์˜ ๊ธฐ์™•๋ ฅ๊ณผ์˜ ๊ด€๋ จ์„ฑ์€ ์นด์ด์ž์Šน ๊ฒ€์ •(ฮงยฒ-test)์„ ์‚ฌ์šฉํ•˜์˜€๋‹ค. ๊ทธ๋ฆฌ๊ณ  ๋กœ์ง€์Šคํ‹ฑ ํšŒ๊ท€๋ถ„์„์„ ํ†ตํ•ด ๊ต์ฐจ๋น„์™€ ์‹ ๋ขฐ๊ตฌ๊ฐ„์„ ๊ตฌํ•˜์˜€๋‹ค. ์ฝ”ํ˜ธํŠธ ์—ฐ๊ตฌ์—์„œ๋Š” ๊ตฌ๊ฐ•์ƒํƒœ์— ๋”ฐ๋ผ 1995๋…„์— ๋น„ํ•ด ์ถ”์ ๊ธฐ๊ฐ„๋™์•ˆ ์ƒˆ๋กญ๊ฒŒ ๊ฒฐ์†์น˜์•„๊ฐ€ ๋ฐœ์ƒํ•œ ๊ตฐ๊ณผ ๋ฐœ์ƒํ•˜์ง€ ์•Š์€ ๊ตฐ์œผ๋กœ ๋‚˜๋ˆ„์—ˆ๋‹ค. ๊ฐ ๋…๋ฆฝ๋ณ€์ˆ˜๋ฅผ ์ด๋ถ„๋ณ€์ˆ˜๋กœ๋‚˜๋ˆ„๊ณ , ์ฝ”ํฌ๋ž€-๋งŒํ…”-ํ•œ์ ค ๊ฒ€์ •์œผ๋กœ ์ถ”์ ๊ธฐ๊ฐ„์„ ํ†ต์ œํ•œ ๋น„๊ต์œ„ํ—˜๋„์™€ ์‹ ๋ขฐ๊ตฌ๊ฐ„์„ ๊ตฌํ•˜์˜€๋‹ค. ์—ญ์‹œ ๋‹ค๋ณ€๋Ÿ‰ ๋ถ„์„์œผ๋กœ ๋กœ์ง€์Šคํ‹ฑ ํšŒ๊ท€๋ถ„์„์„ ์‹œํ–‰ํ•˜์—ฌ ๊ต์ฐจ๋น„์™€ ์‹ ๋ขฐ๊ตฌ๊ฐ„์„ ๊ตฌํ•˜์˜€๋‹ค. ํ†ต๊ณ„๋ถ„์„์€ Window SAS(statistical analysis system) 6.12๋ฅผ ์‚ฌ์šฉํ•˜์˜€์œผ๋ฉฐ ๋‹ค์Œ๊ณผ ๊ฐ™์€๊ฒฐ๊ณผ๋ฅผ ์–ป์—ˆ๋‹ค. 1995๋…„์˜ ์ž๋ฃŒ๋ถ„์„ ๊ฒฐ๊ณผ์—์„œ๋Š” 1. ๋‚จ์ž์—์„œ, ๊ฒฐ์†์น˜์•„๊ฐ€ ์—†๋Š” ๊ตฐ๋ณด๋‹ค ๊ฒฐ์†์น˜์•„๊ฐ€ ์žˆ๋Š” ๊ตฐ์˜ ํ‰๊ท  ์—ฐ๋ น, ์ˆ˜์ถ•๊ธฐํ˜ˆ์••, ์ด์™„๊ธฐํ˜ˆ์••, AST(aspartate transaminase), ํ˜ˆ๋‹น, ์ด์ฝœ๋ ˆ์Šคํ…Œ๋กค๊ฐ’์ด ์œ ์˜ํ•˜๊ฒŒ๋†’์•˜์œผ๋ฉฐ, ํ˜ˆ์ƒ‰์†Œ์˜ ํ‰๊ท ๊ฐ’์€ ์œ ์˜ํ•˜๊ฒŒ ๋‚ฎ์•˜๋‹ค. ๊ฒฐ์†์น˜์•„์™€ ์ƒ๊ด€์„ฑ์ด ์žˆ๋Š” ์ „์‹ ๊ฑด๊ฐ•๊ด€๋ จ ๋ณ€์ˆ˜๋Š” ์—ฐ๋ น, ์‹ ์ฒด์งˆ๋Ÿ‰์ง€์ˆ˜, ํก์—ฐ ์—ฌ๋ถ€, ๊ทธ๋ฆฌ๊ณ ํ˜ˆ๋‹น์ด์—ˆ๋‹ค. ์—ฐ๋ น์ด 10๋…„ ์ฆ๊ฐ€ํ•  ๋•Œ, ํ˜ˆ๋‹น๊ณผ ํก์—ฐ์—ฌ๋ถ€๋ฅผ ํ†ต์ œํ•œ ๊ต์ฐจ๋น„๋Š” 1.92์˜€๋‹ค. BMI๋Š” ์—ฐ๋ น, ํก์—ฐ ์—ฌ๋ถ€, ํ˜ˆ๋‹น์„ ํ†ต์ œํ•˜์˜€์„ ๋•Œ ํ•œ ๋‹จ์œ„ ์ฆ๊ฐ€์— ๋”ฐ๋ฅธ ๊ต์ฐจ๋น„๊ฐ€ 0.97์ด์—ˆ๋‹ค. ํ˜ˆ๋‹น(FPG)์˜ ๊ฒฝ์šฐ๋Š” ์—ฐ๋ น๊ณผ ํก์—ฐ์—ฌ๋ถ€ ํ†ต์ œ์‹œ์—, ํ˜ˆ๋‹น์ด 10ใŽŽ/ใŽ— ์ฆ๊ฐ€ํ•  ๋•Œ ๊ต์ฐจ๋น„๊ฐ€ 1.02์˜€๋‹ค. ์—ฐ๋ น๊ณผํ˜ˆ๋‹น์„ ์—ญ์‹œ ํ†ต์ œํ•œ ํ›„ ํก์—ฐ ์ƒํƒœ(SMOKE)๋ฅผ ๋ณด๋ฉด ๋น„ํก์—ฐ์ž์— ๋Œ€ํ•œ ํ˜„์žฌ ํก์—ฐ์ž์˜ ๊ต์ฐจ๋น„๊ฐ€ 1.19์˜€๋‹ค. 2. ์—ฌ์ž์—์„œ๋Š” ๊ฒฐ์†์น˜์•„๊ฐ€ ์—†๋Š” ๊ตฐ๋ณด๋‹ค ๊ฒฐ์†์น˜์•„๊ฐ€ ์žˆ๋Š” ๊ตฐ์˜ ํ‰๊ท  ์—ฐ๋ น, ์‹ ์ฒด์งˆ๋Ÿ‰์ง€์ˆ˜,์ˆ˜์ถ•๊ธฐํ˜ˆ์••, ์ด์™„๊ธฐํ˜ˆ์••, AST(aspartate transaminase), ํ˜ˆ๋‹น, ์ด์ฝœ๋ ˆ์Šคํ…Œ๋กค๊ฐ’์ด ์œ ์˜ํ•˜๊ฒŒ ๋†’์•˜๋‹ค. ๊ตฌ๊ฐ•๋‚ด ๊ฒฐ์†์น˜์˜ ์œ ๋ฌด์™€ ์—ฐ๋ น, ์‹ ์ฒด์งˆ๋Ÿ‰์ง€์ˆ˜, ๊ทธ๋ฆฌ๊ณ  ์ด์™„๊ธฐํ˜ˆ์••์ด ์ƒ๊ด€์„ฑ์ด ์žˆ์„ ๊ฒƒ์œผ๋กœ ์ œ์•ˆ๋˜์—ˆ๊ณ , ํก์—ฐ์—ฌ๋ถ€๋Š” ์œ ์˜ํ•˜์ง„ ์•Š์•˜์œผ๋‚˜ ๊ด€๋ จ์„ฑ์˜ ๊ฒฝํ–ฅ์ด ์žˆ๋Š” ๋ณ€์ˆ˜์˜€๋‹ค. ๋‚˜์ด๊ฐ€ ์—ด์‚ด ๋งŽ์•„์ง€๋Š” ๊ฒฝ์šฐ ํ˜ˆ๋‹น๊ณผ ํก์—ฐ์—ฌ๋ถ€๋ฅผ ํ†ต์ œ์‹œ ๊ต์ฐจ๋น„๋Š” 1.70์ด์—ˆ๋‹ค. ์—ฐ๋ น, ํก์—ฐ ์—ฌ๋ถ€, ๊ทธ๋ฆฌ๊ณ  ํ˜ˆ๋‹น ํ†ต์ œํ•œ ํ›„ BMI๊ฐ€ 1์ฆ๊ฐ€ํ•  ๋•Œ ๊ต์ฐจ๋น„๋Š” 1.03์ด์—ˆ์œผ๋ฉฐ, ์ด์™„๊ธฐ ํ˜ˆ์••์€ 10ใŽœHg ์ฆ๊ฐ€์— ๋”ฐ๋ผ 1.07์˜ ๊ต์ฐจ๋น„์˜€๋‹ค. ๋น„ํก์—ฐ์ž์— ๋Œ€ํ•œ ํก์—ฐ์ž์˜ ๊ต์ฐจ๋น„๋Š” 1.27์ด์—ˆ๋‹ค. ์ฝ”ํ˜ธํŠธ ์—ฐ๊ตฌ์—์„œ๋Š” ๋‚จ์ž๋งŒ์„ ๋Œ€์ƒ์œผ๋กœ ๋ถ„์„ํ•˜์˜€๋Š”๋ฐ, ์—ฐ๋ น, ์ˆ˜์ถ•๊ธฐํ˜ˆ์••, ์ด์™„๊ธฐํ˜ˆ์••, ์‹ฌํ˜ˆ๊ด€์งˆ๋ณ‘๋ ฅ์ด ๊ฒฐ์†์น˜์•„์˜ ๋ฐœ์ƒ์— ์œ ์˜ํ•˜๊ฒŒ ์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š” ์ „์‹ ๊ฑด๊ฐ•๊ด€๋ จ ๋ณ€์ˆ˜์˜€๊ณ , BMI๋Š” ๊ฒฝํ–ฅ์„ฑ์„ ๋ ๊ณ  ์žˆ์—ˆ๋‹ค. ์—ฐ๋ น์ด 10 ์ฆ๊ฐ€ํ• ์ˆ˜๋ก ๊ตฌ๊ฐ•๋‚ด ๊ฒฐ์†์น˜๊ฐ€ ํ•˜๋‚˜ ์ด์ƒ ์ƒˆ๋กญ๊ฒŒ ๋ฐœ์ƒํ•  ์œ„ํ—˜์ด 1.76๋ฐฐ ์ฆ๊ฐ€ํ•˜์˜€๋‹ค. ์ˆ˜์ถ•๊ธฐํ˜ˆ์••๊ณผ ์ด์™„๊ธฐํ˜ˆ์••์€ 10ใŽœHg ์ฆ๊ฐ€ํ•  ๋•Œ๋งˆ๋‹ค ๊ฒฐ์†์น˜๊ฐ€ ์ƒˆ๋กœ์ด ๋ฐœ์ƒํ•  ์œ„ํ—˜์ด 1.32๋ฐฐ ๋†’์•„์กŒ๋‹ค. ์‹ฌํ˜ˆ๊ด€์งˆํ™˜์œผ๋กœ ์ง„๋‹จ๋ฐ›์•˜๊ฑฐ๋‚˜ ์น˜๋ฃŒ๋ฐ›์•˜๋˜ ๊ฒฝํ—˜์ด ์žˆ๋Š” ์‚ฌ๋žŒ์€ ์—†๋Š” ์‚ฌ ๋žŒ๋ณด๋‹ค ๊ฒฐ์†์น˜์•„๊ฐ€ ์ƒˆ๋กญ๊ฒŒ ๋ฐœ์ƒํ•  ์œ„ํ—˜์ด 3.21๋ฐฐ ์ฆ๊ฐ€ํ•˜์˜€๋‹ค. ์ด์ƒ์„ ์ข…ํ•ฉํ•˜๋ฉด, ๋‚จ์ž์—์„œ๋Š” ์—ฐ๋ น, ์‹ ์ฒด์งˆ๋Ÿ‰์ง€์ˆ˜, ํ˜ˆ๋‹น ๊ทธ๋ฆฌ๊ณ  ํก์—ฐ์—ฌ๋ถ€๊ฐ€ ๊ตฌ๊ฐ•๋‚ด ๊ฒฐ์†์น˜์•„์˜ ์œ ๋ฌด์™€ ๊ด€๋ จ์„ฑ์ด ์žˆ์—ˆ์œผ๋ฉฐ, ์—ฐ๋ น์ด ์ฆ๊ฐ€ํ• ์ˆ˜๋ก, ์ˆ˜์ถ•๊ธฐํ˜ˆ์••๊ณผ ์ด์™„๊ธฐํ˜ˆ์••์ด ๋†’์„์ˆ˜๋ก, ๊ทธ๋ฆฌ๊ณ  ์‹ฌํ˜ˆ๊ด€์งˆํ™˜์— ๋Œ€ํ•œ ๊ณผ๊ฑฐ๋ ฅ์ด ์žˆ๋Š” ๊ฒฝ์šฐ์— ๊ตฌ๊ฐ•๋‚ด ๊ฒฐ์†์น˜์•„๊ฐ€ ์ƒˆ๋กญ๊ฒŒ ๋ฐœ์ƒํ• ์œ„ํ—˜์ด ์ฆ๊ฐ€ํ•˜์˜€๋‹ค. ์—ฌ์ž์—์„œ๋Š” ์—ฐ๋ น, ์‹ ์ฒด์งˆ๋Ÿ‰์ง€์ˆ˜, ๊ทธ๋ฆฌ๊ณ  ์ด์™„๊ธฐํ˜ˆ์••์ด ๊ตฌ๊ฐ•๋‚ด ๊ฒฐ์†์น˜์•„์˜ ์œ ๋ฌด์™€ ๊ด€๋ จ์„ฑ์ด ์žˆ์—ˆ๋‹ค. ๋”ฐ๋ผ์„œ ํ•œ๊ตญ์ธ ๋‚จ์ž์—์„œ๋„ ํ˜ˆ์••์ด ๊ตฌ๊ฐ•์งˆํ™˜์˜ ์ค‘์š”ํ•œ ์œ„ํ—˜์š”์ธ์ผ ๊ฐ€๋Šฅ์„ฑ์„ ์ œ์•ˆํ•  ์ˆ˜ ์žˆ๊ณ , ์‹ฌํ˜ˆ๊ด€์งˆํ™˜๊ณผ๋„ ๊ด€๋ จ์„ฑ์ด ์žˆ์Œ์„ ๋ณด์—ฌ์ฃผ๊ณ  ์žˆ๋‹ค. [์˜๋ฌธ] To determine the possible associations of dental disease with medical status, cross-sectional and cohort studies were conducted from 1995 to 1999. The subjects were 18,114 men and 6,188 women aged 20+ in baseline year, and 920 men and 165 women in follow-up years, from 1997 to 1999. They were examined the number of invisible tooth(functionally missing teeth) and medical condition in Occupational Health Center of Inchon Severance Hospital. In cohort study, only men were included in statistical analysis. To assess the strength of associations between functionally missing teeth with medical status, odds ratios and 95% confidence intervals were computed using logistic regression models through the Window SAS 6.12 while age, smoking, FPG(fasting plasma glucose) were adjusted as conditional confounding variables. The results were as follows; In cross-sectional study, subjects were sorted into two groups. One had no functonally missing teeth, the other had one more missing teeth. Age, smoking, and FPG were positively associated with the two groups in men. BMI finding was negative. In women, Age, BMI, and diastolic blood pressure were positively associated with the two groups. In cohort study, older, higher blood pressure, and CVD(cadiovascular disease) history were associated with increased risk of occurrence of one more missing teeth than baseline year in men. Odds ratios were 1.76(by 10 years), 1.32(by 10ใŽœHg), and 3.21(in CVD history), respectively. These results explained about only men. In summary, age, smoking and FPG were significantly associated with dental health in men. In women, age, BMI, and diastolic blood prressure were significantly associated with dental health. Hypertension and CVD history may be a potential risk factor to dental health while age, smoking, and FPG(fasting plasma glucose) were adjusted as conditional confounding variables. But this association should be further investigated for their causal relationship.ope
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