37 research outputs found

    ์ฐฉ์‹œ๋ฅผ ์ ์šฉํ•œ ์‹œ๊ฐ๊ฒฝํ—˜์— ๊ด€ํ•œ ์—ฐ๊ตฌ : ์ž…์ฒด ์กฐํ˜• ์ž‘ํ’ˆ ์ œ์ž‘์„ ํ†ตํ•˜์—ฌ

    No full text
    ํ•™์œ„๋…ผ๋ฌธ(์„์‚ฌ)--์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› :์‚ฐ์—…๋””์ž์ธ๊ณผ ์‹œ๊ฐ๋””์ž์ธ์ „๊ณต,1995.Maste

    Transient raman and photoinduced electron transfer studies of fullerenes

    No full text
    Thesis (master`s)--์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› :ํ™”ํ•™๊ณผ ๋ฌผ๋ฆฌํ™”ํ•™์ „๊ณต,1995.Maste

    Nursing professionalism, role conflict, and job satisfaction in a comprehensive nursing service hospital demonstration project

    No full text
    ๊ฐ„ํ˜ธ๊ด€๋ฆฌ์™€ ๊ต์œก์ „๊ณต/์„์‚ฌ๋ณธ ์—ฐ๊ตฌ๋Š” ํฌ๊ด„๊ฐ„ํ˜ธ์„œ๋น„์Šค๋ณ‘์› ์‹œ๋ฒ”์‚ฌ์—…๋ณ‘๋™ ๊ฐ„ํ˜ธ์‚ฌ์™€ ์ผ๋ฐ˜๋ณ‘๋™ ๊ฐ„ํ˜ธ์‚ฌ์˜ ๊ฐ„ํ˜ธ์ „๋ฌธ์ง๊ด€, ์—ญํ• ๊ฐˆ๋“ฑ, ์ง๋ฌด๋งŒ์กฑ๋„์˜ ์ฐจ์ด๋ฅผ ๋น„๊ตํ•˜๊ณ , ๋ณ€์ˆ˜๋“ค ๊ฐ„์˜ ์ƒ๊ด€๊ด€๊ณ„๋ฅผ ํ™•์ธ ํ•˜๋ฉฐ, ํฌ๊ด„๊ฐ„ํ˜ธ์„œ๋น„์Šค๊ฐ€ ๊ฐ„ํ˜ธ์‚ฌ์˜ ์ „๋ฌธ์ง์—…์  ํŠน์„ฑ์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์„ ํ™•์ธํ•จ์œผ๋กœ์จ ๊ฐ„ํ˜ธ์‚ฌ์˜ ๊ธ์ •์ ์ธ ์ „๋ฌธ์ง๊ด€ ํ™•๋ฆฝ๊ณผ ์ง๋ฌด๋งŒ์กฑ๋„๋ฅผ ํ–ฅ์ƒ ๋ฐ ํฌ๊ด„๊ฐ„ํ˜ธ์„œ๋น„์Šค ์‹œ๋ฒ” ์‚ฌ์—…์˜ ๊ฐœ์„ ๋ฐฉ์•ˆ์„ ๋ชจ์ƒ‰ํ•˜๋Š” ๊ธฐ์ดˆ์ž๋ฃŒ๋ฅผ ์ œ๊ณตํ•˜๊ณ ์ž ์‹œ๋„๋œ ์„œ์ˆ ์  ์กฐ์‚ฌ์—ฐ๊ตฌ์ด๋‹ค.๋Œ€์ƒ์ž๋Š” ๊ฒฝ๊ธฐ๋„ ์†Œ์žฌ 700๋ณ‘์ƒ ๊ทœ๋ชจ์˜ ํฌ๊ด„๊ฐ„ํ˜ธ์„œ๋น„์Šค๋ณ‘์› ์‹œ๋ฒ”์‚ฌ์—…์ด ์ง„ํ–‰๋˜๊ณ  ์žˆ๋Š” ์ผ ๊ธ‰์„ฑ๊ธฐ ์ข…ํ•ฉ๋ณ‘์›์˜ ์‹œ๋ฒ”์‚ฌ์—…๋ณ‘๋™ ๊ฐ„ํ˜ธ์‚ฌ์™€ ์ผ๋ฐ˜๋ณ‘๋™ ๊ฐ„ํ˜ธ์‚ฌ ์ด 211๋ช…์„ ๋Œ€์ƒ์œผ๋กœ ํ•˜์˜€๋‹ค. ๊ตฌ์กฐํ™”๋œ ์„ค๋ฌธ์ง€๋ฅผ ์‚ฌ์šฉํ•˜์—ฌ ์„ค๋ฌธ์กฐ์‚ฌํ•œ ๊ฒฐ๊ณผ๋ฅผ ๋ฐ”ํƒ•์œผ๋กœ ํ•˜์˜€์œผ๋ฉฐ, ์ž๋ฃŒ์ˆ˜์ง‘ ๊ธฐ๊ฐ„์€ 2014๋…„ 3์›” 26์ผ๋ถ€ํ„ฐ 4์›” 7์ผ๊นŒ์ง€์˜€๋‹ค. ์ธก์ •๋„๊ตฌ๋กœ๋Š” ๊ฐ„ํ˜ธ์ „๋ฌธ์ง๊ด€์— ์œค์€์ž, ๊ถŒ์˜๋ฏธ, ์•ˆ์˜ฅํฌ(2005)๊ฐ€ ๊ฐœ๋ฐœํ•œ ๋„๊ตฌ๋ฅผ, ์—ญํ• ๊ฐˆ๋“ฑ์—๋Š” Rizz, House, & Lirtaman(1970)์˜ ์—ญํ• ๊ฐˆ๋“ฑ๊ณผ ๋ชจํ˜ธ์„ฑ๋„๊ตฌ(Role Conflict and Ambiguity Scale)๋ฅผ ๊น€์˜์ฒ (1973)์ด ์ˆ˜์ •ํ•œ ๋„๊ตฌ๋กœ, ์ง๋ฌด๋งŒ์กฑ๋„๋Š” ๋ฐ•์„ฑ์• ์™€ ์œค์ˆœ๋…•(1992)์ด ๊ฐœ๋ฐœํ•œ ์ง๋ฌด๋งŒ์กฑ ์ธก์ •๋„๊ตฌ๋ฅผ ์ถ”์˜์ˆ˜(2003)๊ฐ€ ์ˆ˜์ • ๋ณด์™„ํ•œ ๋„๊ตฌ๋กœ ์ธก์ •ํ•˜์˜€๋‹ค. ์ˆ˜์ง‘๋œ ์ž๋ฃŒ๋Š” SPSSWIN 20.0 ํ”„๋กœ๊ทธ๋žจ์„ ์‚ฌ์šฉํ•˜์—ฌ ๋นˆ๋„๋ถ„์„, ๊ธฐ์ˆ ์  ํ†ต๊ณ„, ์นด์ด ์ œ๊ณฑ๊ฒ€์ •, Fisher''s Exact test, ๊ณต๋ถ„์‚ฐ๋ถ„์„(ANCOVA), ์ผ์›๋ณ€๋Ÿ‰๋ถ„์„(One way-ANOVA), ์ƒ๊ด€๋ถ„์„(Pearson''s correlation coefficient)์„ ์‹ค์‹œํ•˜์˜€์œผ๋ฉฐ, ์—ฐ๊ตฌ๊ฒฐ๊ณผ๋Š” ๋‹ค์Œ๊ณผ ๊ฐ™๋‹ค.ํฌ๊ด„๊ฐ„ํ˜ธ์„œ๋น„์Šค๋ณ‘์› ์‹œ๋ฒ”์‚ฌ์—…๋ณ‘๋™ ๊ฐ„ํ˜ธ์‚ฌ์™€ ์ผ๋ฐ˜๋ณ‘๋™ ๊ฐ„ํ˜ธ์‚ฌ์˜ ๊ฐ„ํ˜ธ์ „๋ฌธ์ง๊ด€์€ ํ†ต๊ณ„์ ์œผ๋กœ ์œ ์˜ํ•œ ์ฐจ์ด๋Š” ์—†์—ˆ๋‹ค(F=.864, p=.354). ์—ญํ• ๊ฐˆ๋“ฑ์€ ํฌ๊ด„๊ฐ„ํ˜ธ์„œ๋น„์Šค ๋ณ‘์› ์‹œ๋ฒ”์‚ฌ์—…๋ณ‘๋™ ๊ฐ„ํ˜ธ์‚ฌ๊ฐ€ ์ผ๋ฐ˜๋ณ‘๋™ ๊ฐ„ํ˜ธ์‚ฌ๋ณด๋‹ค ํ†ต๊ณ„์ ์œผ๋กœ ์œ ์˜ํ•˜๊ฒŒ ๋‚ฎ์•˜์œผ๋ฉฐ(F=17.380, p=<.001), ์ง๋ฌด๋งŒ์กฑ๋„๋Š” ํฌ๊ด„๊ฐ„ํ˜ธ์„œ๋น„์Šค๋ณ‘์› ์‹œ๋ฒ”๋ณ‘๋™ ๊ฐ„ํ˜ธ์‚ฌ์˜ ์ง๋ฌด๋งŒ์กฑ๋„๊ฐ€ ์ผ๋ฐ˜ ๋ณ‘๋™ ๊ฐ„ํ˜ธ์‚ฌ๋ณด๋‹ค ํ†ต๊ณ„์ ์œผ๋กœ ์œ ์˜ํ•˜๊ฒŒ ๋†’๊ฒŒ ๋‚˜ํƒ€๋‚ฌ๋‹ค(F=5.342. p=.022). ํฌ๊ด„๊ฐ„ํ˜ธ์„œ๋น„์Šค๋ณ‘์› ์‹œ๋ฒ”์‚ฌ์—…๋ณ‘๋™ ๊ฐ„ํ˜ธ์‚ฌ์˜ ์ผ๋ฐ˜์  ํŠน์„ฑ์— ๋”ฐ๋ฅธ ๊ฐ„ํ˜ธ์ „๋ฌธ์ง๊ด€, ์—ญํ• ๊ฐˆ๋“ฑ, ์ง๋ฌด๋งŒ์กฑ๋„์˜ ์ฐจ์ด์— ๋Œ€ํ•œ ์—ฐ๊ตฌ๊ฒฐ๊ณผ, ๊ฐ„ํ˜ธ์ „๋ฌธ์ง๊ด€์€ ์„ฑ๋ณ„, ์—ฐ๋ น, ๊ฐ„ํ˜ธ์ง ์„ ํƒ ๋™๊ธฐ์— ๋”ฐ๋ผ ํ†ต๊ณ„์ ์œผ๋กœ ์œ ์˜ํ•œ ์ฐจ์ด๋ฅผ ๋ณด์˜€๋‹ค. ์—ญํ• ๊ฐˆ๋“ฑ์€ ์„ฑ๋ณ„, ์—ฐ๋ น, ์ตœ์ข…ํ•™๋ ฅ, ๊ฐ„ํ˜ธ์ง ์„ ํƒ ๋™๊ธฐ, ์ด ์ž„์ƒ๊ฒฝ๋ ฅ, ๊ณ ์šฉํ˜•ํƒœ์—์„œ ์œ ์˜ํ•œ ์ฐจ์ด๊ฐ€ ์žˆ์—ˆ์œผ๋ฉฐ, ์ง๋ฌด๋งŒ์กฑ์€ ๊ฐ„ํ˜ธ์ง ์„ ํƒ ๋™๊ธฐ์™€ ๊ณ ์šฉํ˜•ํƒœ์—์„œ ์œ ์˜ํ•œ ์ฐจ์ด๋ฅผ ๋‚˜ํƒ€๋ƒˆ๊ณ , ์ •๊ทœ์ง ๊ฐ„ํ˜ธ์‚ฌ๊ฐ€ ๋น„์ •๊ทœ์ง ๋ณด๋‹ค ์ง๋ฌด๋งŒ์กฑ๋„๊ฐ€ ๋†’์€ ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ๋ณธ ์—ฐ๊ตฌ์—์„œ ํฌ๊ด„๊ฐ„ํ˜ธ์„œ๋น„์Šค๋ณ‘์› ์‹œ๋ฒ”์‚ฌ์—…๋ณ‘๋™ ๊ฐ„ํ˜ธ์‚ฌ๋ฅผ ๋Œ€์ƒ์œผ๋กœ ๊ฐ„ํ˜ธ์ „๋ฌธ์ง๊ด€๊ณผ ์—ญํ• ๊ฐˆ๋“ฑ, ์ง๋ฌด๋งŒ์กฑ๋„ ๊ฐ„์˜ ์ƒ๊ด€๊ด€๊ณ„๋ฅผ ๋ถ„์„ํ•œ ๊ฒฐ๊ณผ, ๊ฐ„ํ˜ธ์ „๋ฌธ์ง๊ด€๊ณผ ์—ญํ• ๊ฐˆ๋“ฑ(r=-.440, p<.001)์€ ์Œ์˜ ์ƒ๊ด€๊ด€๊ณ„๋ฅผ, ๊ฐ„ํ˜ธ์ „๋ฌธ์ง๊ด€๊ณผ ์ง๋ฌด๋งŒ์กฑ๋„(r=.582, p<.001)๋Š” ์–‘์˜ ์ƒ๊ด€๊ด€๊ณ„๋ฅผ ๋‚˜ํƒ€๋ƒˆ์œผ๋ฉฐ, ์—ญํ• ๊ฐˆ๋“ฑ๊ณผ ์ง๋ฌด๋งŒ์กฑ๋„(r=-.670, p<.001)๋Š” ์Œ์˜์ƒ๊ด€๊ด€๊ณ„๋ฅผ ๋‚˜ํƒ€๋ƒˆ๋‹ค.์ด์ƒ์˜ ๊ฒฐ๊ณผ๋ฅผ ์ข…ํ•ฉํ•˜๋ฉด ํฌ๊ด„๊ฐ„ํ˜ธ์„œ๋น„์Šค๋ชจํ˜• ์ ์šฉ์„ ์œ„ํ•ด ๊ฐ„ํ˜ธ์ธ๋ ฅ ๋ฐฐ์น˜๊ธฐ์ค€์„ ์ƒํ–ฅ์กฐ์ •ํ•˜๊ณ , ๊ฐ„ํ˜ธ์—…๋ฌดํ™˜๊ฒฝ ๊ฐœ์„ ์„ ์‹œ๋„ํ•œ ์‹œ๋ฒ”๋ณ‘๋™์˜ ๊ฐ„ํ˜ธ์‚ฌ๋“ค์ด ์ผ๋ฐ˜๋ณ‘๋™์— ๋น„ํ•ด ์—ญํ• ๊ฐˆ๋“ฑ์€ ๋‚ฎ๊ณ  ์ง๋ฌด๋งŒ์กฑ์€ ๋†’๊ฒŒ ๋‚˜ํƒ€๋‚œ ๊ฒƒ์€ ๊ฐ„ํ˜ธ์ธ๋ ฅ ๋ฐฐ์น˜์ˆ˜์ค€๊ณผ ๊ฐ„ํ˜ธ์—…๋ฌดํ™˜๊ฒฝ ๊ฐœ์„ ์ด ๊ฐ„ํ˜ธ์‚ฌ์˜ ์—ญํ• ๊ฐˆ๋“ฑ๊ณผ ์ง๋ฌด๋งŒ์กฑ๋„์— ์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š” ๊ฒƒ์œผ๋กœ ํ™•์ธํ–ˆ๋‹ค๋Š” ์ ์—์„œ ๊ทธ ์˜์˜๊ฐ€ ์žˆ๋‹ค. ์‚ฌ์—… ์ง„ํ–‰๊ณผ์ •์—์„œ ๊ฐ„ํ˜ธ์‚ฌ๋“ค์˜ ์—…๋ฌด, ์—ญํ• , ์˜๋ฌด, ๊ถŒํ•œ ๋“ฑ์— ๋Œ€ํ•œ ์—ญํ• ๊ฐˆ๋“ฑ์€ ์ง๋ฌด๋งŒ์กฑ ์ •๋„์— ์˜ํ–ฅํ•˜์—ฌ ์ ๊ทน์ ์ธ ์„œ๋น„์Šค ์ˆ˜ํ–‰์„ ์–ด๋ ต๊ฒŒ ํ•˜๊ณ , ์–‘์งˆ์˜ ๊ฐ„ํ˜ธ์„œ๋น„์Šค๋ฅผ ์ œ๊ณตํ•˜์ง€ ๋ชปํ•˜๊ฒŒ ํ•˜์—ฌ ๊ฒฐ๊ตญ ํ™˜์ž์˜ ๊ฑด๊ฐ•์— ์˜ํ–ฅ์„ ๋ฏธ์น˜๋ฏ€๋กœ ๋งค์šฐ ์ค‘์š”ํ•˜๋‹ค. ํ–ฅํ›„ ์‹œ๋ฒ”์‚ฌ์—…์„ ์ „ ๋ณ‘๋™์œผ๋กœ ํ™•๋Œ€ ์ ์šฉํ•œ ํ›„ ์ข…๋‹จ์ ์„ค๊ณ„๋ฅผ ํ†ตํ•œ ๋ฐ˜๋ณต์—ฐ๊ตฌ๊ฐ€ ํ•„์š”ํ•˜๋ฉฐ, ๊ธ์ •์ ์ธ ๊ฐ„ํ˜ธ์ „๋ฌธ์ง๊ด€์„ ๊ฐ€์ง„ ๊ฐ„ํ˜ธ์‚ฌ๊ฐ€ 24์‹œ๊ฐ„ ํ™˜์ž ์˜†์—์„œ ์–‘์งˆ์˜ ๊ฐ„ํ˜ธ ์„œ๋น„์Šค๋ฅผ ์ œ๊ณตํ•  ์ˆ˜ ์žˆ๋„๋ก ๊ฐ„ํ˜ธ์‚ฌ์˜ ์—ญํ• ๊ฐˆ๋“ฑ์„ ์ตœ์†Œํ™”ํ•˜๊ณ , ์ง๋ฌด๋งŒ์กฑ์„ ํ–ฅ์ƒ ํ•  ์ˆ˜ ์žˆ๋Š” ์ „๋žต ๋งˆ๋ จ์ด ๊ณ„์†์ ์œผ๋กœ ํƒ์ƒ‰๋˜์–ด์•ผ ํ•˜๊ฒ ๋‹ค.prohibitio

    (The) study on a long effective stop-smoking program

    No full text
    ์ง€์—ญ์‚ฌํšŒ ๊ฐ„ํ˜ธํ•™๊ณผ/์„์‚ฌ[ํ•œ๊ธ€] ํก์—ฐ์ด ์ˆ˜๋งŽ์€ ์งˆ๋ณ‘์˜ ์›์ธ์œผ๋กœ ์•Œ๋ ค์ ธ ์žˆ๊ณ  ํŠนํžˆ ์„ฑ์ธ๋ณ‘์˜ ๋Œ€๋ถ€๋ถ„์ด ํก์—ฐ์„ ํ†ตํ•ด ๋”์šฑ ์•…ํ™”๋œ๋‹ค๋Š” ์—ฐ๊ตฌ๋“ค์ด ํ™œ๋ฐœํ•ด ์ง์œผ๋กœ์จ ๊ธˆ์—ฐ์šด๋™์ด ์ „ ์„ธ๊ณ„์  ์šด๋™์œผ๋กœ ํ™•์‚ฐ๋˜๊ณ  ์žˆ์Œ์—๋„ ๋ถˆ๊ตฌํ•˜๊ณ  ์šฐ๋ฆฌ ๋‚˜๋ผ์˜ ํก์—ฐ ์ธ๊ตฌ๋Š” ์ ์  ์ฆ๊ฐ€ ์ถ”์„ธ์— ์žˆ์œผ๋ฉฐ, ํก์—ฐ๋ฅ ์ด ์„ธ๊ณ„ 1์œ„๋ผ๋Š” ๋ถˆ๋ช…์˜ˆ๋ฅผ ๊ฐ€์ง€๊ณ  ์žˆ์Œ์œผ๋กœ ๋ฏธ๋ž˜ ํ•œ๊ตญ ๊ตญ๋ฏผ์˜ ๊ฑด๊ฐ•์ด ํฌ๊ฒŒ ์šฐ๋ ค๋˜๊ณ  ์žˆ๋‹ค. ์ด์— ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ๊ธˆ์—ฐ ํ”„๋กœ๊ทธ๋žจ์„ ์ˆ˜๋ฃŒํ•œ ํ›„์˜ ์žฅ๊ธฐ ํšจ๊ณผ์™€ ๊ธˆ์—ฐ์„ฑ๊ณต์— ์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š” ๋ณ€์ธ์„ ๋ถ„์„ํ•˜๊ธฐ ์œ„ํ•˜์—ฌ ํ›„ํ–ฅ์  ์กฐ์‚ฌ์—ฐ๊ตฌ๋ฅผ ์ˆ˜ํ–‰ํ•จ์œผ๋กœ์จ ์ถ”ํ›„๊ด€๋ฆฌ ํ”„๋กœ๊ทธ๋žจ์˜ ๋ฐฉ๋ฒ•๊ณผ ์‹œ๊ธฐ๋ฅผ ๊ฒฐ์ •ํ•˜๊ณ  ๊ธˆ์—ฐ ์„ฑ๊ณต๋ฅ ์„ ๋†’์ผ ์ˆ˜ ์žˆ๋Š” ์š”์ธ๋“ค์„ ํ™•์ธํ•˜์—ฌ ํก์—ฐ ๋Œ€์ƒ์ž๋ฅผ ํšจ๊ณผ์ ์œผ ๋กœ ์ค‘์žฌํ•  ์ˆ˜ ์žˆ๋Š” ๊ธฐ์ดˆ์ž๋ฃŒ๋ฅผ ์ œ๊ณตํ•˜๊ณ ์ž ์ด ์—ฐ๊ตฌ๋ฅผ ์‹œ๋„ํ•˜์˜€๋‹ค. ์—ฐ๊ตฌ์˜ ๋Œ€์ƒ์ž๋Š” 5์ผ ๊ธˆ์—ฐํ•™๊ต๋ฅผ 1996๋…„ 2์›”์—์„œ 1997๋…„ 9์›” ์‚ฌ์ด์— ์ˆ˜๋ฃŒํ•œ ๋Œ€์ƒ์ž 270๋ช…์ค‘์—์„œ ์—ฌ์„ฑ์„ ์ œ์™ธํ•œ ์„ฑ์ธ ๋‚จ์ž 243๋ช…์„ ๋ชจ์ง‘๋‹จ์œผ๋กœ ํ•˜์—ฌ ์ „ํ™”์—ฐ๋ฝ์ด ๊ฐ€๋Šฅํ•˜๊ณ  ์—ฐ๊ตฌ์— ๋™์˜ํ•œ 96๋ช…์˜ ํ‘œ๋ณธ์„ ๋Œ€์ƒ์œผ๋กœ ํ•˜์˜€๋‹ค. ์ž๋ฃŒ์ˆ˜์ง‘ ๊ธฐ๊ฐ„์€ 1998๋…„ 4์›” 3์ผ๋ถ€ํ„ฐ 15์ผ๊นŒ์ง€ 12์ผ๊ฐ„ ์ด์˜€์œผ๋ฉฐ, ์งˆ๋ฌธ์ง€๋ฅผ ํ†ตํ•œ ์ „ํ™”๋ฉด์ ‘ ๋ฐฉ๋ฒ•์„ ํ†ตํ•ด ์ˆ˜์ง‘ํ•˜์˜€๋‹ค. ๋ณธ ์—ฐ๊ตฌ์˜ ์ž๋ฃŒ๋ถ„์„์€ SAS ํ†ต๊ณ„ ํ”„๋กœ๊ทธ๋žจ์„ ์ด์šฉํ•˜์˜€๋‹ค. ๋Œ€์ƒ์ž์˜ ์ผ๋ฐ˜์  ํŠน์„ฑ์€ ๋ฐฑ๋ถ„์œจ๋กœ, ๊ธˆ์—ฐ ์„ฑ๊ณต์ž์™€ ์‹คํŒจ์ž์˜ ํŠน์„ฑ์˜ ์ฐจ์ด๋น„๊ต๋Š” X2-๊ฒ€์ •๊ณผ t-๊ฒ€์ •์œผ๋กœ, ์žฌํก์—ฐ์— ์˜ํ–ฅ์„ ์ฃผ๋Š” ๋ณ€์ˆ˜์— ๋Œ€ํ•œ ๋ถ„์„์€ Cox's๋น„๋ก€์œ„ํ—˜ ํšŒ๊ท€๋ถ„์„์œผ๋กœ, ๊ธˆ์—ฐ๊ธฐ๊ฐ„์— ๋”ฐ๋ฅธ ํŠน์„ฑ ๋น„๊ต๋Š” Life test๋ฅผ ์ด์šฉํ•œ Log-Rank ๋ฐฉ๋ฒ•์œผ๋กœ ๋ถ„์„ํ•˜์˜€๋‹ค. ๋ณธ ์—ฐ๊ตฌ์˜ ๊ฒฐ๊ณผ๋Š” ๋‹ค์Œ๊ณผ ๊ฐ™๋‹ค. 1) 5์ผ๊ธˆ์—ฐํ•™๊ต๋ฅผ 1996๋…„ 2์›”๋ถ€ํ„ฐ 1997๋…„ 9์›”์‚ฌ์ด์— ์ˆ˜๋ฃŒํ•œ ์ด 243๋ช…์ค‘์—์„œ ์ˆ˜์ง‘ ๊ฐ€๋Šฅํ•œ 96๋ช…์˜ ๊ธˆ์—ฐ ์„ฑ๊ณต๋ฅ ์€ 29๋ช…(30.21%)์ด์˜€๋‹ค. 2) ๊ธˆ์—ฐ ์„ฑ๊ณต์ž์™€ ์‹คํŒจ์ž์˜ ํŠน์„ฑ ๋น„๊ต์—์„œ๋Š” ์—ฐ๋ น์ด ์„ฑ๊ณต์ž๊ฐ€ 47.17์„ธ, ์‹คํŒจ์ž๊ฐ€ 41.10์„ธ๋กœ ์—ฐ๋ น์ด ๋†’์„์ˆ˜๋ก ์„ฑ๊ณต๋ฅ ์ด ๋†’๊ฒŒ ๋‚˜ํƒ€๋‚ฌ์œผ๋ฉฐ(p=.019), ๊ธˆ์—ฐ์„ ์ง€์†์‹œํ‚ค๊ธฐ์— ๊ฐ€์žฅ ํž˜๋“ค์—ˆ๋˜ ์‹œ๊ธฐ๋Š” ์„ฑ๊ณต์ž๊ฐ€ 19์ผ, ์‹คํŒจ์ž๊ฐ€ 4์ผ๋กœ์„œ ์‹คํŒจ์ž๊ฐ€ ์„ฑ๊ณต์ž์— ๋น„ํ•ด ํ›จ์”ฌ ์ผ์ฐ ํž˜๋“ค์–ดํ•œ ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค(p=.0003). ๋˜ํ•œ ๊ธˆ์—ฐํ•™๊ต๊ฐ€ ๊ธˆ์—ฐ์˜์ง€์— ์˜ํ–ฅ์„ ๋ฏธ์นœ ์ฐจ์ด์—์„œ๋Š” ๊ธˆ์—ฐ ์‹คํŒจ์ž๋ณด๋‹ค ์„ฑ๊ณต์ž์—๊ฒŒ ๋” ๋งŽ์€ ์˜ํ–ฅ์„ ๋งŽ์ด ๋ฏธ์นœ ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ์œผ๋ฉฐ(p=.033), ์ถ”ํ›„๊ด€๋ฆฌ ํ”„๋กœ๊ทธ๋žจ์˜ ์š”๊ตฌ๋„๋Š” ์„ฑ๊ณต์ž๋ณด๋‹ค๋Š” ์‹คํŒจ์ž์—๊ฒŒ์„œ ๋†’๊ฒŒ ๋‚˜ํƒ€๋‚ฌ๋‹ค(p=.012). 3) ๊ธˆ์—ฐ ํŠน์„ฑ๊ณผ ์žฌํก์—ฐ์˜ ํŠน์„ฑ์„ ๋น„๊ตํ•˜์—ฌ ๋ณธ ๊ฒฐ๊ณผ ๊ธˆ์—ฐ์„ ์„ฑ๊ณตํ•  ์ˆ˜ ์žˆ์—ˆ๋˜ ๊ฐ€์žฅ ํฐ ์ด์œ ๋Š” ๊ฐ•ํ•œ ์˜์ง€๋ ฅ ์ด์˜€์œผ๋ฉฐ, ์žฌํก์—ฐ์˜ ๊ฐ€์žฅ ํฐ ์›์ธ์€ ์ŠคํŠธ๋ ˆ์Šค ๊ฒฝํ—˜๊ณผ ์ฃผ์œ„์˜ ์œ ํ˜น ๋•Œ๋ฌธ ์ด์˜€๊ณ  ์žฌํก์—ฐ ์‹œ๊ธฐ๋Š” 7์ผ ์ด์˜€๋‹ค. 4) ๋Œ€์ƒ์ž์˜ ํŠน์„ฑ์„ ๊ธˆ์—ฐ๊ธฐ๊ฐ„๊ณผ ๋น„๊ตํ•œ ๊ฒฐ๊ณผ ๊ฑด๊ฐ•์ƒ์˜ ์ด์œ ๋กœ ๊ธˆ์—ฐ์„ ์‹œ๋„ํ•œ ๊ฒฝ์šฐ(p=.0337)์™€ ๊ธˆ์—ฐํ•™๊ต์˜ ๊ต์œก์ด ๊ธˆ์—ฐ์„ ์‹œ๋„ํ•˜๋Š”๋ฐ ๋งŽ์€ ์˜ํ–ฅ๋ ฅ์„ ๋ฏธ์ณค์„ ๊ฒฝ์šฐ(p=.0001), ๋Œ€์ƒ์ž์˜ ์—ฐ๋ น์ด ๋งŽ์„์ˆ˜๋ก(p=.0079), ๊ทธ๋ฆฌ๊ณ  ๊ฒฐํ˜ผ์„ ํ•œ ๊ฒฝ์šฐ(p=.0027)๊ฐ€ ๊ธˆ์—ฐ ๊ธฐ๊ฐ„์ด ๊ธธ๊ฒŒ ๋‚˜ํƒ€๋‚ฌ๋‹ค. 5) ๊ธˆ์—ฐ ์„ฑ๊ณต๋ฅ ์— ์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š” ์š”์ธ๋“ค์€ ๊ธˆ์—ฐํ•™๊ต ์ž…ํ•™๋™๊ธฐ๊ฐ€ ๊ฑด๊ฐ• ๋•Œ๋ฌธ์ธ ๊ฒฝ์šฐ(p=.0043, r=.350)์™€ ๊ธˆ์—ฐํ•™๊ต์˜ ์˜ํ–ฅ๋ ฅ์ด ํฐ ๊ฒฝ์šฐ(p=.0001, r=.259)๋กœ ๋‚˜ํƒ€๋‚ฌ์œผ๋ฉฐ, ๋˜ํ•œ ๊ธˆ์—ฐ์‹คํŒจ์ž์ผ์ˆ˜๋ก ์ถ”ํ›„๊ด€๋ฆฌ ํ”„๋กœ๊ทธ๋žจ ์š”๊ตฌ๋„๊ฐ€ ๋†’์€ ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค(p=.0407, r=.490). ์ด์ƒ์˜ ์—ฐ๊ตฌ๊ฒฐ๊ณผ๋ฅผ ์ข…ํ•ฉํ•˜๋ฉด ๊ธˆ์—ฐ์˜ ์žฅ๊ธฐํšจ๊ณผ๋Š” ์—ฐ๊ตฌ์˜ ๋Œ€์ƒ์ž๋ฅผ ํŽธ์˜ ์ถ”์ถœํ•˜์—ฌ ์„ ์ •ํ•˜์˜€์œผ๋ฏ€๋กœ ์ผ๋ฐ˜ํ™” ํ•  ์ˆ˜๋Š” ์—†์œผ๋‚˜ 30.21% ์ •๋„๊ฐ€ ๊ธˆ์—ฐ์— ์„ฑ๊ณตํ•œ ๊ฒƒ์œผ๋กœ ๋น„๊ต์  ๋†’์€ ์„ฑ๊ณต๋ฅ ์„ ๋ณด์˜€์œผ๋ฉฐ, ์˜์ง€๋ ฅ์„ ๊ฐ•ํ™”ํ•  ์ˆ˜ ์žˆ๋Š” ๊ธˆ์—ฐ ํ”„๋กœ๊ทธ๋žจ๊ณผ ๊ฑด๊ฐ•์— ๊ด€์‹ฌ์ด ๊ฐ€์žฅ ๋งŽ์€ ์„ฑ์ธ์„ ๋Œ€์ƒ์œผ๋กœ ํ•œ ๋‹ค์–‘ํ•œ ํ”„๋กœ๊ทธ๋žจ์ด ๊ฐœ๋ฐœ๋˜์–ด์•ผํ•จ์€ ๋ฌผ๋ก  ์žฌํก์—ฐ์˜ ๊ฐ€์žฅ ํฐ ์š”์ธ์„ ํ•ด๊ฒฐํ•˜๊ธฐ ์œ„ํ•˜์—ฌ ์ŠคํŠธ๋ ˆ์Šค ๊ด€๋ฆฌ๋ฒ•๊ณผ ๊ธˆ์ฃผ๊ต์œก์„ ํ•จ๊ป˜ ์‹ค์‹œํ•  ๊ฒƒ์„ ๊ถŒ์žฅํ•˜๋ฉฐ, ์‹คํŒจ์ž๊ฐ€ ๊ธˆ์—ฐ์„ ์ง€์†ํ•˜๊ธฐ ํž˜๋“ค์—ˆ๋˜ ์‹œ๊ธฐ์™€ ์žฌํก์—ฐ์‹œ๊ธฐ์ธ ์ผ ์ฃผ์ผ ๋™์•ˆ์˜ ์ง‘์ค‘์ ์ธ ๊ด€๋ฆฌ์™€ ์™„์ „ํžˆ ๊ธˆ์—ฐํ•  ์ˆ˜ ์žˆ๋„๋ก ์ง€์†์ ์ธ ์ถ”ํ›„๊ด€๋ฆฌ๊ฐ€ ๋ฐ”๋žŒ์งํ•˜๋‹ค๊ณ  ํ•˜๊ฒ ๋‹ค. [์˜๋ฌธ] Cigarette-Smoking is known as the cause of numerous diseases. The study especially showed that it has caused mostly a serious disease for adults. The Stop-smoking movement has been spreading to the whole world, nevertheless the number of Cigarette smokers in Korea is greatly increasing. And now Koreans are worried about health conditions because recently the Cigarette-Smoking rate is unfortunately, No. 1 in the world. The study was performed on individual who had experienced 6 months to 2 years of education. And this study tried to offer the smokers some basic data for their own benefit in order to decide the way & the time of After-Service Management and to confirm a few factors needed to increase the success of the Stop-Smoking program. The people selected for the study came from the total number of 270 who graduated from the 5 Days Stop-Smoking school, between Feb. 1996 and Nov. 1997. Among them only men were chosen for the study. Some questions were given to them through phone interviews for 12 days Apr. 3, to Apr. 15, 1998. The data analysis is used for the SAS statistics program. The comparison of the related factors on the successful rate of Stop-Smoking and the period of Stop-Smoking was done by the Log-Rank method with the X2-test(chi-square test), t-test and life test. The analysis of those who resumed smoking and those who permanently stopped smoking was done by the Cox's proportional hazard regression analysis. The results are as follows: 1. Among the total 243 graduates from the 5 Days Stop-Smoking School between Feb.1996 and Nov. 1997, 96 selected individuals were on the study and only 29 of them permanently stop smoking(30.21%) were successful. They could also be classified periodically in three groups: less than 1 year-- 13(44.83%), less than 2 years -- 20(34.48%), over 2 years -- 6(20.69%). 2. The study shows the age difference: 47.17 overcame while 41.10 failed (p=.033). After the education the overcomers were able to endure at least 19 days while only 4 days was the endurance period for the failures(p=.0003). 3. The main reason for their overcoming smoking habit was that they possessed strong will-power. The main reason for failure was from the stress and friend's temptation. And the re-smoking period lasted 7 days. However most of the failures wanted to try it again. 4. The factors which mostly influenced the smoking cessation were; 1) Adherence to the total health program(p=.0043,r=.350), 2) Attendance at the Stop-Smoking School program by the school(p=.0001, r=.259), 3) Age level(p=.0079), And 4) Marital status.(p=.0027). 5. The factors that influence an individual to Stop-Smoking are: motivation (p=.0043, r=.350), the Stop-Smoking program itself(p=.0001, r=.259), and also the more they failed to practice Stop-Smoking, the greater their need for the After- Service Management program(p=.0407, r=.490). In conclusion, all the study revealed that a long effective period of smoking cessation can't be generalized because the people in this study were chosen with some limitations. But the rate of the successful overcomers is relatively high with 30.21%. The most effective factors to raise Stop-Smoking rate is the will-power which needs various Stop-Smoking programs to help and to improve the poor health condition for the adults. In addition, it is strongly recommended that the stress controlling system and Stop-Drinking education are presented together to enhance the Stop-Smoking rate successfully. Also the intensive management program in order to endure the first difficult week is desirable for ultimate success.restrictio
    corecore