149 research outputs found
(The) effects of physical activity reinforcement program on exercise compliance and health status in continuous ambulatory p
๊ฐํธํ๊ณผ/๋ฐ์ฌ[ํ๊ธ]
๋ณธ ์ฐ๊ตฌ๋ ๋ณต๋งํฌ์ ํ์๋ค์ ๊ฑท๊ธฐ์ด๋์ ์ํ ์ด๋๊ต์ก๊ณผ ์๋ด์ผ๋ก ๊ตฌ์ฑ๋ ์ ์ฒดํ๋ ๊ฐํํ๋ก๊ทธ๋จ์ ๊ฐ๋ฐํ์ฌ, ๊ทธ ํจ๊ณผ๋ก์ ์ด๋์ดํ๊ณผ ๊ฑด๊ฐ์ํ์ ๋ณํ๋ฅผ ํ์
ํ๊ณ ์ ์๋๋์๋ค.
์ ์ฒดํ๋ ๊ฐํํ๋ก๊ทธ๋จ์ ๋ฌธํ๊ณ ์ฐฐ์ ํตํ์ฌ ์ด๋๊ต์ก ์ง์นจ์์ ๊ธฐ๋ณธ๋ด์ฉ๊ณผ, ํ์ ์ด๋์ต๊ด๊ณผ ์ด๋๋ฅ๋ ฅ์ ๋ฐ๋ผ ์ด๋์ฒ๋ฐฉ ๋ด์ฉ์ ๊ตฌ์ฑํ์์ผ๋ฉฐ, Bandura(1982)์ ์๊ธฐํจ๋ฅ๊ฐ ์ฆ์ง์ ์ํ ์ธ์ด์ ์ค๋์ ๋ฐฉ๋ฒ์ผ๋ก ์๋ดํ๋กํ ์ฝ ๊ธฐ๋ณธ๋ด์ฉ์ ๊ตฌ์ฑํ์๋ค.
ํ๋ก๊ทธ๋จ์ ํจ๊ณผ๋ฅผ ๊ฒ์ฆํ๊ธฐ ์ํด 2002๋
12์3์ผ๋ถํฐ 2003๋
6์ 20์ผ ๊น์ง, ์ผ ์ข
ํฉ๋ณ์์ ๋ณต๋งํฌ์ ํ์ ์ค ๋์์ ์ ์ ๊ธฐ์ค์ ์ ํฉํ ์คํ๊ตฐ 19๋ช
, ๋์กฐ๊ตฐ 17๋ช
์ ๋์์ผ๋ก ๋น๋๋ฑ์ฑ ์ฌ์ ์ฌํ ์ ์ฌ ์คํ์ฐ๊ตฌ๋ฅผ ์ค์ํ์๋ค. ์คํ๊ตฐ์๊ฒ๋ ์ฐ๊ตฌ์๊ฐ ๊ฐ๋ฐํ ์ด๋๊ต์ก ์ง์นจ์๋ฅผ ํ ๋๋ก ์ด๋๊ต์ก์ 1ํ ์ค์ํ๊ณ , ์๋ดํ๋กํ ์ฝ์ ์ํด ์ 2ํ ์ ํ ๋๋ ๋ฉด๋๋ฉด ์๋ด๊ณผ ํจ๊ป ๊ฑท๊ธฐ์ด๋์ 12์ฃผ๊ฐ ์ค์ํ ํ ์ฌํ ์กฐ์ฌ๋ฅผ ํ๊ณ , ๋์กฐ๊ตฐ์๊ฒ๋ ์ค์ฌ ์์ด 12์ฃผํ ์ฌํ์กฐ์ฌ๋ฅผ ์ค์ํ์๋ค. ์คํ๊ตฐ์ด ์ค์ํ ๊ฑท๊ธฐ์ด๋์ ์ฃผ 2-4ํ, 1ํ 20-60๋ถ ์ด์(๋จ๊ณ์ ์ผ๋ก ์ฆ๊ฐ์ํด), ๊ฐ๋๋ ์ด๋์ ์๊ฐ๋ 11-14์ (์ฝํจ์์ ๊ฐํ ๊ฐ๋), ์ต๋ ์ด๋๊ฐ๋์ 40-60%๋ฅผ ์ ์งํ๋ค.
์๋ฃ ๋ถ์์ SPSS/win์ ์ด์ฉํ์ฌ ํต๊ณ ์ฒ๋ฆฌ ํ์ผ๋ฉฐ ๊ธฐ์ ํต๊ณ, ฯยฒ-test์ Mann-Whitney U-test, Fisher''s exact test, Wilcoxon Signed Rank test๋ฑ์ผ๋ก ๋์ง์ฑ๊ฒ์ฆ๊ณผ ํ๋ก๊ทธ๋จ์ ํจ๊ณผ๋ฅผ ๊ฒ์ฆํ์๋ค.
์ฐ๊ตฌ ๊ฒฐ๊ณผ๋ ๋ค์๊ณผ ๊ฐ๋ค.
1. ์ด๋๊ต์ก ์ง์นจ์, ์๋ดํ๋กํ ์ฝ ๋ฐ ์ด๋์ฒ๋ฐฉ์ผ๋ก ๊ตฌ์ฑ๋ ์ ์ฒดํ๋ ๊ฐํํ๋ก๊ทธ๋จ์ ๊ฐ๋ฐํ์๋ค.
2. ์คํ๊ตฐ๊ณผ ๋์กฐ๊ตฐ์ ์ผ๋ฐ์ ํน์ฑ๊ณผ ์ง๋ณ๊ด๋ จ ํน์ฑ, ์ด๋์ดํ๊ณผ ๊ฑด๊ฐ์ํ๋ ์ ์ํ ์ฐจ์ด๊ฐ ์์ด ์๊ตฐ์ ๋์ง ์ง๋จ์ด์๋ค.
3. ๊ฐ์ค โ์ ์ฒดํ๋ ๊ฐํํ๋ก๊ทธ๋จ์ ์ํํ ๊ตฐ๊ณผ ์ํํ์ง ์์ ๊ตฐ์ ์ด๋์ดํ ์ ๋์๋ ์ฐจ์ด๊ฐ ์์ ๊ฒ์ด๋คโ๋ฅผ ๊ฒ์ฆํ๊ธฐ ์ํ์ฌ ์ด๋์ดํ ์๊ธฐํจ๋ฅ๊ฐ ์ ์, ์ด๋์ง์ ์ ๋, ์ฃผ๋น ์ด๋ํ์, 1ํ ์ด๋์๊ฐ, 1ํ ์ด๋๊ฐ๋๋ฅผ ๋น๊ตํ์๊ณ , ๊ฐ๊ฐ์ ๊ฐ์ค์ด ๋ชจ๋ ์ง์ง ๋์๋ค.(์ด๋์ดํ ์๊ธฐํจ๋ฅ๊ฐ: U=79.00, p=.01; ์ด๋์ง์ ์ ๋: ฯยฒ=20.84, p=.001; ์ฃผ๋น ์ด๋ํ์: ฯยฒ=9.03, p=.01; 1ํ ์ด๋์๊ฐ: ฯยฒ=9.03, p=.01; 1ํ ์ด๋๊ฐ๋: ฯยฒ=11.09, p=.00)
4. ๊ฐ์ค โ์ ์ฒดํ๋ ๊ฐํํ๋ก๊ทธ๋จ์ ์ํํ ๊ตฐ๊ณผ ์ํํ์ง ์์ ๊ตฐ์ ๊ฑด๊ฐ์ํ์ ๋ณํ์๋ ์ฐจ์ด๊ฐ ์์ ๊ฒ์ด๋คโ๋ฅผ ๊ฒ์ฆํ๊ธฐ ์ํ์ฌ ์ ์ฒด์ ๊ฑด๊ฐ์ํ๋ก๋ ์ ์ฒด์ ๊ธฐ๋ฅ์ ๋์, ์ง์ง๋์ฌ๋, ์๋ถ๋ฏผ ์์น, ์ต๋ ์ฐ์์ญ์ทจ๋์ ๋น๊ตํ์๊ณ , ์ ์ ์ ๊ฑด๊ฐ ์ํ๋ก๋ ์ฐ์ธ๊ณผ ๋ถ์ ์ ์์ ์ฐจ์ด๋ฅผ ๋น๊ตํ์๋ค. ์ง์ง๋์ฌ๋๊ณผ ๋ถ์ ์ ์์๋ ์ฐจ์ด๊ฐ ์์์ผ๋ ์ ์ฒด์ ๊ธฐ๋ฅ์ ๋, ์ต๋ ์ฐ์์ญ์ทจ๋, ์๋ถ๋ฏผ, ์ฐ์ธ์ ์คํ๊ตฐ๊ณผ ๋์กฐ๊ตฐ์ ์คํ ์ ํ ๋ณํ์ ์ ์ํ ์ฐจ์ด๋ฅผ ๋ณด์ฌ ๊ฐ์ค์ ๋ถ๋ถ์ ์ผ๋ก ์ง์ง๋์๋ค(์ ์ฒด์ ๊ธฐ๋ฅ์ ๋:U=92.00, p=.03; ์ต๋ ์ฐ์์ญ์ทจ๋:U=20.5, p=.01,; ์๋ถ๋ฏผ:U=88.50, p=.02,; ์ฐ์ธ:U=84.50, p=.01)
์ด์์ ์ฐ๊ตฌ๊ฒฐ๊ณผ๋ ๊ฑท๊ธฐ์ด๋์ ์ํ ์ด๋๊ต์ก ์ง์นจ์์ ์๋ดํ๋กํ ์ฝ๋ก ๊ตฌ์ฑ๋ ์ ์ฒดํ๋ ๊ฐํํ๋ก๊ทธ๋จ์ด ๋ณต๋งํฌ์ ํ์๋ค์๊ฒ ์ด๋์ดํ์ ์ฆ๊ฐ ์ํค๊ณ , ๊ฑด๊ฐ์ํ๋ฅผ ์์น์ํด์ ์
์ฆํ์ฌ ๋ณต๋งํฌ์ ํ์๋ค์๊ฒ ์ด๋์ ์ค์์ฑ์ ์ธ์์ํค๊ณ , ์ง์์ ์ธ ์ด๋์ ์ค์ฒํ๋๋ก ํ๋ ๊ทผ๊ฑฐ๋ฅผ ์ ๊ณตํ ์ ์๊ฒ ๋์๋ค. ๋ํ ์ค๋ฌดํ์ฅ์์ ์ฌ์ฉํ ์ ์๋ ๊ตฌ์กฐํ๋ ๊ฐํธ์ฒ๋ฐฉ์ ์ ์ํ์๊ณ , ๊ทธ ์ค์ฉ์ฑ์ ๊ฒ์ฆํ์๋ค๋๋ฐ ์์๊ฐ ์๋ค. ๋ณด๋ค ์ง์์ , ์ฅ๊ธฐ์ ์ค์ฌ๋ฅผ ํตํด ๋ณธ ์ฐ๊ตฌ์์ ๊ฒ์ฆํ์ง ๋ชปํ ๊ฑด๊ฐ์งํ๋ค์ ๋ณํ๋ฅผ ๋ฐํ๋ ์ฐ๊ตฌ๋ฅผ ์ ์ธํ๋ค.
[์๋ฌธ]
The purposes of this study were to develop a physical activity reinforcement program and to evaluate the effects of the program on exercise compliance and health status in continuous ambulatory peritoneal dialysis(CAPD) patients. The physical activity reinforcement program consisted of an exercise education protocol, an exercise prescription, and a counselling protocol based on a framework of self-efficacy promotion.
A nonequivalent control group with pre-post test was designed to examine the effects of the program. Data collection was done from December, 2002 to June, 2003. The study participants were selected according to the criteria among the patients who were receiving CAPD at the I hospital in Kyungki-do.
Experimental group which was composed of 19 participants was educated based on an exercise education protocol and carried out walking exercise for two to four times a week upon taking verbal persuasion biweekly through telephone or face-to-face interview for 12 weeks, while 17 participants in control group received no intervention.
The data were analyzed using SPSS/WIN 9.0; Descriptive statistics, ฯยฒ-test, Fisher''s exact test, Mann-Whitney U-test, and Wilcoxon Signed Rank test were utilized.
The results were as follows:
1. The physical activity reinforcement program was developed incorporating an exercise education protocol, an exercise prescription based on the literature review, and a counseling protocol based on a framework of self-efficacy promotion.
2. Experimental group showed significant improvement in self-efficacy of exercise compliance (U=79.00, p=.01), exercise maintenance (ฯยฒ=20.84, p=.00), exercise frequency per week (ฯยฒ=9.03, p=.01), and exercise time (ฯยฒ=9.03, p=.01) and intensity (ฯยฒ=11.09, p=.00) compared to those of control group.
3. There was significant differences between two groups; the experimental group showed better physical functioning (U=92.00, p=.02), higher VOโmax (U=20.5, p=.01) and albumin (U=88.50, p=.02), as well as lower depression score (U=84.50, p=.01) than the results of control group. However, there were no changes in lipid metabolism and anxiety level.
In conclusion, the physical activity reinforcement program was found to have an effect to increase exercise compliance and health status of CAPD patients. The results provided evidences for the importance of continuous physical activity in CAPD patients. The study also contributed to provide an useful practical nursing prescription for CAPD patients care.ope
(A) study on the relationships between family support, self care behavior and quality of life in continuous ambulatory peritoneal dia
๋ณด๊ฑด๊ฐํธํ๊ณผ/์์ฌ[ํ๊ธ]
ํ๋๋ ๋ฌธํ์ ์๋ฃ๊ธฐ์ ์ ๋ฐ๋ฌ๋ก ์ธ๊ตฌ์ ๋
ธ๋ นํ์ ๋ง์ฑ ์งํ์ ๊ธ์ฆ์ด ์ฌ๊ฐํ ์ ๋์ด๋ฉฐ ์ด๋ค์ ์ ์ฒด์ ๊ฑด๊ฐ์ ์ ์ง ๋ฟ ์๋๋ผ "์ด๋ค ์ถ์ ์ด๊ฒ ๋ค" ํ๋ ์ถ์ ์ง์ ์ฃผ์ํ๊ฒ ๊ณ ๋ คํ๊ฒ ๋์๋ค. ๋ง๊ธฐ ์ ๋ถ์ ํ์์ค ๋ณต๋งํฌ์ ํ์๋ ํ์ก ํฌ์๊ณผ ๋น๊ตํ์ฌ ๋ช๊ฐ์ง ์ฅ์ ์ด ์์ง๋ง ํํธ์ผ๋ก๋ ์ ์ฒด์์ ๋ณํ, ์ง์์ ์ธ ์๊ฐ ๊ฐํธ์ ํ์์ฑ, ์๊ฐ ๊ด๋ฆฌ์ ๋ฒ๊ฑฐ๋ฌ์, ๋ณต๋ง์ผ์ ๊ฐ๋ฅ์ฑ๋ฑ์ด ๊ทธ๋ค์ ์ถ์ ์ง์ ์ ํ์ํจ๋ค,
์ด์ ๋ณธ ์ฐ๊ตฌ์์๋ ๋ณต๋งํฌ์ํ์์ ์ ํ๋ ์ถ์ ์ง์ ์ฆ์ง์ํค๊ธฐ ์ํด ์ฒซ์งธ, ๋ณต๋งํฌ์ ํ์์ ๊ฐ์กฑ ์ง์ง ์ ๋๋ฅผ ํ์
ํ๊ณ ๋์งธ, ๋ณต๋งํฌ์ ํ์์ ์๊ฐ ๊ฐํธํ์ ์ ๋๋ฅผ ํ์
ํ๊ณ ์
์งธ, ๋ณต๋งํฌ์ ํ์์ ์ถ์ ์ง์ ํ์
ํ๊ณ ๋ท์งธ, ๋ณต๋งํฌ์ ํ์์ ๊ฐ์กฑ์ง์ง, ์๊ฐ๊ฐ
ํธ ํ์ ๋ฐ ์ถ์ ์ง๊ฐ์ ๊ด๊ณ๋ฅผ ํ์
ํ์๋ค. ์ฐ๊ตฌ๋ฐฉ๋ฒ์ ์์ ์ ์๊ด๊ด๊ณ ์ฐ๊ตฌ๋ก์ 1993๋
10์ 11์ผ๋ถํฐ 10์ 25์ผ๊น์ง ์ด 14์ผ๊ฐ Y๋ํ ๋ณ์์์ ๋ณต๋งํฌ์ ์์ ์ ๋ฐ๊ณ ์ ๊ธฐ์ ์ธ ์ธ๋ ์ถํ๊ด๋ฆฌ๋ฅผ ๋ฐ๋ ๋ณต๋งํฌ์ ํ์ 60๋ช
์ ๋์์ผ๋ก ์ง๋ฌธ์ง๋ฅผ ํตํด ์๋ฃ๋ฅผ ์์งํ์๋ค.
์ฐ๊ตฌ๋๊ตฌ๋ก๋ ๋ฐฉ(1991)์ด ๊ฐ๋ฐํ ์ถ์ ์ง ์ธก์ ๋๊ตฌ 41๋ฌธํญ๊ณผ ๊ฐ(985)์ด ๊ฐ๋ฐํ ๊ฐ์กฑ์ง์ง ์ธก์ ๋๊ตฌ 11๋ฌธํญ๊ณผ ๊น(1987)์ด ๊ฐ๋ฐํ ์๊ฐ๊ฐํธ ํ์ ์ธก์ ๋๊ตฌ 7๋ฌธํญ์ผ๋ก Likertํ 5์ ํ์ ์ฒ๋๋ฅผ ์ด์ฉํ์๋ค.
์์ง๋ ์๋ฃ๋ SPSS๋ฅผ ์ด์ฉํ์ฌ ๊ธฐ์ ํต๊ณ, t-test, ANOVA, Pearson Correlation์ผ๋ก ๋ถ์ํ์๋ค.
์ฐ๊ตฌ๊ฒฐ๊ณผ๋ฅผ ์์ฝํ๋ฉด ๋ค์๊ณผ ๊ฐ๋ค.
1. ๊ฐ์กฑ์ง์ง ์ ๋๋ ์ต๋ ํ์ 5์ ์ ํ๊ท ํ์ 4.07๋ก ๋์ ๊ฐ์กฑ์ง์ง๋ฅผ ๋ฐ๊ณ ์์๊ณ , ๊ฐ์ฅ ๋์ ์ ์๋ฅผ ๋ํ๋ธ ๋ฌธํญ์ด "๊ฐ์กฑ์ ๋๋ฅผ ๊ท์ฐฎ์ ์กด์ฌ๋ก ์๊ฐํ๋ค"๋ก ํ๊ท ํ์ 4.57๋ก ๋ํ๋ฌ๊ณ "๊ฐ์กฑ์ ๋ด๊ฐ ์ง๋ฃจํ์ง ์๋๋ก ๋ง์ ์ด์ผ๊ธฐ๋ฅผ ํด์ค๋ค"๊ฐ ํ๊ท ํ์ 3.30์ผ๋ก ๊ฐ์ฅ ๋ฎ์ ์ ์๋ฅผ ๋ํ๋๋ค.
2. ์๊ฐ๊ฐํธ ํ์์ ์ ๋๋ ์ต๋ํ์ 5.00์ ํ๊ท ํ์ 3.59๋ก ๋น๊ต์ ๊ฐ๊ฐ๊ฐํธ ํ์๋ ์ ์ค์๋๊ณ ์์์ ์ ์ ์์๊ณ "ํฌ์์ก ๊ตํ์ ์ฌ๋ฐ๋ฅธ ์์๋ก ์๋
์ ์ผ๋ก ์ค์ํ๋ค"๊ฐ ํ๊ท ํ์ 4.22๋ก ๊ฐ์ฅ ๋์ ์ ์๋ฅผ ๋ํ๋๊ณ "๊ฑด๊ฐ์ํ๊ฐ ์ ์ข์ ๋ ์ฒด์จ์ ์ฐ๋ค"๊ฐ ํ๊ท ํ์ 2.60์ผ๋ก ๊ฐ์ฅ ๋ฎ์ ์ ์๋ฅผ ๋ํ๋๋ค.
3. ์ถ์ ์ง ์ ๋๋ ์ต๋ ํ์ 5์ ์ ํ๊ท ํ์ 3.17๋ก ๋์ ์ถ์ ์ง์์ค์ ๋ณดํต ์ ๋๋ก ๋ง์กฑํ๊ณ ์์์ ์ ์ ์์๊ณ , ์ถ์ ์ง์ 6๊ฐ์ง ์์ธ์ผ๋ก ๋๋์ด ๊ฐ์ฅ ๋์ ์ ์๋ฅผ ๋ํ๋ธ ์์ธ์ด "์ถ์ ํ๋ ์์ธ"์ผ๋ก ํ๊ท ํ์ ์ด 3.55์๊ณ "์ฌํ์ ํ๋ ์์ธ"์ด ํ๊ท ํ์ 2.92๋ก ๊ฐ์ฅ ๋ฎ์ ์์ธ์ผ๋ก ๋ํ๋ฌ๋ค.
4. ๊ฐ์กฑ์ง์ง ์ ๋์ ์๊ฐ๊ฐํธ ํ์ ์ ๋๋ ์ ์ํ ์๊ด๊ด๊ณ๋ฅผ ๋ํ๋ด์๊ณ (r=.3582, p .001)๊ฐ์กฑ์ง์ง ์ ๋์ ์ถ์ ์ง ์ ๋๋ ์ ์ํ ์๊ด๊ด๊ณ๋ฅผ ๋ํ๋ด์๋ค (r=.4608, p .001). ๋ํ ์๊ฐ๊ฐํธ ํ์ ์ ๋์ ์ถ์ ์ง ์ ๋ ์ญ์ ์ ์ํ ์๊ด๊ด๊ณ๋ฅผ ๋ํ๋ด์๋ค(r=.4477,
p .001).
5. ์ผ๋ฐ์ ํน์ฑ์ ๋ฐ๋ฅธ ๊ฐ์กฑ์ง์ง, ์๊ฐ๊ฐํธ ํ์ ๋ฐ ์ถ์ ์ง์ ์ฐจ์ด๋ฅผ ๊ฒ์ฆํ ๊ฒฐ๊ณผ:
์์์
์ ๋ฐ๋ผ ๊ฐ์กฑ์ง์ง๋ ํต๊ณ์ ์ผ๋ก ์ ์ํ ์ฐจ์ด๊ฐ ์์์ผ๋ฉฐ(F=4.88, p .05), ์ข
๊ต์ ๋ฐ๋ผ ์ถ์ ์ง์ ํต๊ณ์ ์ผ๋ก ์ ์ํ ์ฐจ์ด๊ฐ ์์๋ค(F=2.59, p .05).
6. ์ง๋ณ ํน์ฑ์ ๋ฐ๋ผ ๊ฐ์กฑ์ง์ง, ์๊ฐ๊ฐํธ ํด์ ๋ฐ ์ถ์ ์ง์ ์ฐจ์ด๋ฅผ ๊ฒ์ฆํ ๊ฒฐ๊ณผ:
๋ณต๋งํฌ์ ์ค์ ๊ธฐ๊ฐ๊ณผ ๋ณต๋งํฌ์๊ณผ ๊ด๋ จ๋ ์
์ ํ์์ ๋ฐ๋ฅธ ๊ฐ์กฑ์ง์ง, ์๊ฐ๊ฐํธ ํ์, ์ถ์ ์ง์ ์ ์ํ ์ฐจ์ด๊ฐ ์์์ผ๋ฉฐ ์ง๋ณ์ ๊ดํ ๊ฒฌํด์ ์ถ์ ์ง(F=5.18, p .01), ๊ฑด๊ฐ์ง๊ฐ ์์ค๊ณผ ๊ฐ์กฑ์ง์ง(F=2.41, p .05), ๊ฑด๊ฐ์ง๊ฐ์์ค๊ณผ ์ถ์ ์ง(F=5.42, p .01)์ ํต๊ณ์ ์ผ๋ก ์ ์ํ ์ฐจ์ด๊ฐ ์์๋ค.
์ด์์ ๊ฒฐ๊ณผ๋ก ๋ง์ฑ์งํ์ ํนํ ๋ณต๋งํฌ์ ํ์๋ค์ ๊ฐ์กฑ์ง์ง์ ์๊ฐ๊ฐํธ๊ฐ ์ถ์ ์ง์ ์ฆ์ง์ํฌ์ ์๋ ์ฃผ์ ๋ณ์์์ ์์๊ณ "์ข
๊ต", "์ง๋ณ์ ๋ํ ๊ฒฌํด", "๊ฑด๊ฐ์ง๊ฐ ์์ค"์ ๋ฐ๋ผ ์ถ์ ์ง์ด ์ ์ํ ์ฐจ์ด๊ฐ ์์์ ์์๋ค.
[์๋ฌธ]
This study was conducted to determine if there were relationships between family support, self care behavior and quality of life in CAPD patients.
The research design was descriptive-correlational study and the data were obtained by the use of a questionnaire.
The subjects of this study were obtained by using a purposive sampling technique of CAPD patients who were operated on in Y University Hospital and were at the medical outpatients clinic of Y University Hospital between October 11 and 25, 1993. The total number of subjects in this study was 60.
The instruments used for this study were the family support scale developed by Kang Hyun Sook, a self care behavior scale developed by Kim Young Hi and quality of life scale developed by Bang Whal Ran.
The data were analyzed by using descriptive statistics, t-test, ANOVA, Pearson correlation coefficient.
The results were summarized as follows:
1. The average level of family support was 4.07, showing a relatively high level of family support. the highest score was for the item "Family think that I bother them" with an average 4.57 and the lowest score was for the item "Family talks to
me so I won't be bored" with an average 3.30.
2. The average level of self care behavior was 3.59, showing a relatively high level of self care behavior, The highest score was for the item "Peritoneal dialysis change sterility and right procedure" with an average 4.22. The lowest score was "I checked body temperature when physical condition was not good" with an
average 2.60.
3. The average level of quality of life was 3.17 showing patient was generally satisfied with life. Quality of life was separated 6 factor and the highest factor was "Life attitude factor" with an average 3.55, the lowest factor was "Social acting factor" with an average 2.92.
4. A significant correlation was found between the family support level and the self care behavior level(r=.3582, p .01). A significant correlation was found between the family support level and the quality of life level(r=.4608, p .001). A significant correlation was found between the self care behavior level and the quality of life level.(r=.4477, p .001)
5. After testing the difference between family support, self care behavior and quality of life according to general characters, a significant difference was found between the salary and the family support(F=4.88, P .05), and between religion and
quality of life(F=2.59, P .05).
6. After testing the difference between family support, self care behavior and quality of life according to disease characters, no significant difference was found between CAPD duration and family support, self care behavior and quality of
life. No significant difference was found between the frequency of admissions related CAPD and self care behavior, family support, quality of life. A significant difference was "though about disease" and quality of life(F=5.18, P .01), "health perception level" and family support(F=2.41, P .05). "health perception level" and quality of life(F=5.42, P .01).
From the results this study it was noted that family support and self care of CAPD patients are the main variables for improving the quality of life.
According to "religion", "thought about disease" and "health perception level", there are also significant difference variables for improving the quality of life.restrictio
์ ์์ ๋ง์์ดํด ๋ฅ๋ ฅ๊ณผ ์์์ฑ๊ฐ์ ๊ด๊ณ : ์ฐ๋ น, ์ฑ๋ณ๊ณผ ๋ฉด์ ์์ ๊ฒฝํ์ ์ค์ฌ์ผ๋ก
ํ์๋
ผ๋ฌธ(์์ฌ)--์์ธ๋ํ๊ต ๋ํ์ :์๋๊ฐ์กฑํ๊ณผ,2004.Maste
Demand on School Curriculum of Middle School Student Recognized by Teachers in Schools for Students with Physical Disabilities
The Development of a Scale to Measure of Class Environmental for School Violence Prevention in Korea
๋ณธ ์ฐ๊ตฌ๋ ํ๊ตํญ๋ ฅ ์๋ฐฉ์ ์ํ ํ๊ธํ๊ฒฝ ์ง๋จ๋๊ตฌ๋ฅผ ๊ฐ๋ฐํ๋ ๋ฐ ๊ทธ ๋ชฉ์ ์ด ์๋ค. ์ด๋ฅผ ์ํ์ฌ ํ๊ธํ๊ฒฝ๊ณผ ํ๊ตํญ๋ ฅ์ ๋ํ ์ ํ์ฐ๊ตฌ๋ค์ ๊ฒํ ํ์ฌ ํ๊ธํ๊ฒฝ ๊ด๋ จ ์ธก์ ๋ฌธํญ๋ค์ ๊ฐ๋ฐํ๊ณ ์๋น๋ฌธํญ๋ค์ ๋ํ ์ ๋ฌธ๊ฐ์ ๋ด์ฉํ๋น๋ ๊ฒ์ฆ์ ์ค์ํ์๋ค. 44๊ฐ์ ์๋น๋ฌธํญ์ผ๋ก ๊ตฌ์ฑ๋ ํ๊ธํํ ์ง๋จ๋๊ตฌ๊ฐ ํ๋นํ์ง ๊ฒ์ฆํ๊ธฐ ์ํด์ ์์ธ, ๊ฒฝ๊ธฐ, ์ถฉ์ฒญ์ง์ญ์ ์ด๋ฑํ๊ต 5ํ๋
๊ณผ 6ํ๋
, ์คํ๊ต 1ํ๋
๊ณผ 2ํ๋
ํ์๋ค 293๋ช
์ ๋์์ผ๋ก ์๋น๊ฒ์ฌ๋ฅผ ์ค์ํ๊ณ , 396๋ช
์ ๋์์ผ๋ก ๋ณธ ๊ฒ์ฌ๋ฅผ ์ค์ํ์๋ค. ์์ง๋ ์๋ฃ์ ํ์์ , ํ์ธ์ ์์ธ๋ถ์ ๊ฒฐ๊ณผ, ๋๋์ง์ง, ๋๋-ํ๊ธํญ๋ ฅํ์ฉ, ๊ต์ฌ์ง์ง, ๊ต์ฌ-ํ๊ธํญ๋ ฅํ์ฉ, ํ๊ธ๊ท์น, ํ๊ธ์์ง์ฑ ๋ฑ 6๊ฐ ์์ธ์ผ๋ก ๊ตฌ์ฑ๋ ์ด 34๋ฌธํญ์ ํ๊ธํ๊ฒฝ ์ง๋จ๋๊ตฌ๋ฅผ ๊ฐ๋ฐํ์๋ค. ์ค๊ฑฐํ๋น๋ ๊ฒ์ฆ์ ํตํด ํ๊ธํ๊ฒฝ ์ง๋จ๋๊ตฌ๋ ์ฌ์ฉ ๊ฐ๋ฅํ ์ ์ํ ์ฒ๋์์ ํ์ธํ์๋ค. ๋ณธ ์ฐ๊ตฌ๊ฒฐ๊ณผ๋ฅผ ๊ธฐ์ด๋ก ํ๊ธํ๊ฒฝ ์ง๋จ๋๊ตฌ ๊ฐ๋ฐ์ ์์์ ์์ฌ์ ์ ๋
ผ์ํ์๋ค.The purpose of this study was to develop of a valid and reliable scale aiming to measure the class environmental for school violence prevention of students attending grades 5th to 8th. The literature and instruments related to class environment and school violence studies were examined. As a result of the examinations, a comprehensive item pool was created and submitted to subject area experts for the content validity. Items in draft scale prepared as 44 negative and positive statements. Two sets of samples (293 and 396 students in Korea) served to explore and confirm the constructs of the class environmental scale for school violence prevention proposed by this study. In principal components analysis for the sample (n=293), the scale of 34-items factored into 6 sub-scales. A confirmatory factor analysis (n=396) showed that the six-factor model was valid for the sample (RMSEA=.056, TLI=.908, CFI=.935, IFI=.937). Internal consistency reliability, factorial validity, and concurrent validity were satisfactory in the case of the Korean students. The study found that the psychometric properties of the class environmental scale for school violence prevention are acceptable and suitable for use. Implications and limitations of this study were discussed
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