19 research outputs found
์ญ์์ฅ์ ์ ์ฌ๋ฆฌ์ ๊ฒฝ์ง์ฑ์ ๊ด๊ณ: ์ญ์ ์ ์ ๊ฒฝ์ง์ฑ๊ณผ ์ธ์ง์ ๊ฒฝ์ง์ฑ
ํ์๋
ผ๋ฌธ (์์ฌ)-- ์์ธ๋ํ๊ต ๋ํ์ : ์ฌํ๊ณผํ๋ํ ์ฌ๋ฆฌํ๊ณผ, 2018. 8. ๊ถ์๋ง.A broad range of psychological rigidity has been observed and studied in relations to eating disorders. However, studies have neglected to use measurements that are diet- and food-specific when studying problems of rigidity in eating and weight-related disorders. The current study aims to investigate two types of rigidity โ rigid dietary control and cognitive rigidity โ in relations to disordered eating symptoms using both self-reports and experimental tasks that are specifically diet and food related.
In study 1, the Flexible and Rigid Control scale (Westenhoefer, Stunkard, & Pudel, 1999) which distinguishes flexible dietary restraint from rigid dietary restraint was translated and validated. The scales factor structure, psychometric properties, and the differential relationship of the two types of dietary control and the psychological, behavioral, emotional symptoms of eating disorders were investigated. Participants were 305 female university students who were on a diet. Results indicated that the Korean version of the Flexible and Rigid Control scale was best modeled to have a two factor structure with 11 and 13 items loading to Flexible Control and Rigid Control respectively. Consistent with previous research, the two subscales demonstrated concurrent and construct validity, and evidence for the separation of two constructs were found.
In light of previous research that linked cognitive rigidity with eating disorders, in study 2 the Food Picture Set-shifting Task (FPST) was developed to measure difficulties in set-shifting regarding calorie related rules and food pictures. A total of 89 female university students were recruited and assigned to three groups based on their dieting status and levels of eating disorder symptoms (32 low risk dieters29 high risk dieters29 non-dieters). The FPST, Wisconsin Card Sorting Test (WCST), self-report questionnaires on dietary restraint, and clinical variables were assessed. Results showed that the FPST is a valid measure of set-shifting abilities. Although dieters and non-dieters did not differ in the overall FPST performances, dieters showed higher perseveration error in calorie to color shift than non-dieters. Intent to diet (dieting status) was more associated with food-specific set-shifting impairments while actual dietary restraint (EDEQ) was related to general set-shifting impairments as measured by WCST. The results suggest that the FPST can be a unique and useful tool in detecting cognitive rigidity related to food and may provide insight on the neuropsychological difficulties of maintaining a healthy diet.
The current study validated two diet- and food-specific rigidity measurement tools โ the Korean version of the Flexible and Rigid Control scale and the Food Picture Set-shifting Task โ and explored the relationships between rigidity and eating disorders. Consistent with previous research, the findings from the present study suggest that dietary restraint is not a homogenous construct and that intent to restrain and actual behavioral restraint may affect cognitive rigidity through different mechanisms. Limitations as well as suggestions for future research are discussed.Abstract i
Introduction 1
Dieting and eating disorders 2
Psychological rigidity in dieting 3
Dietary restraint and disordered eating 4
Flexible and rigid dietary control 5
Dietary restraint and cognitive functions 6
Cognitive rigidity in eating disorders 8
Measuring set-shifting 9
Purpose of the present study 11
Study 1. Validation of the Korean version of the Flexible and Rigid Control Scale 13
Method 15
Results 21
Discussion 30
Study 2. Relationship between disordered eating and cognitive rigidity using a food-specific set-shifting task 33
Method 35
Results 41
Discussion 47
General Discussion 50
References 54
Appendix 68
Abstract in Korean 87Maste
์ธ๋ ๊ฐํธ์ฌ๊ฐ ์ธ์งํ๋ ์ ๋ฌดํ๋ ์ํ๋์ ์ค์๋, ์ง๋ฌด๋ง์กฑ๊ณผ์ ๊ด๊ณ
๊ฐํธํ๊ณผ/์์ฌ๋ณธ ์ฐ๊ตฌ๋ ์ธ๋ ๊ฐํธ์ฌ๊ฐ ์ธ์งํ๋ ์
๋ฌดํ๋ ์ํ๋์ ์ค์๋๋ฅผ ํ์
ํ๊ณ , ์ง๋ฌด๋ง์กฑ๊ณผ์ ๊ด๋ จ์ฑ์ ํ์
ํจ์ผ๋ก์จ, ์ ๋ฌธ์ง ๊ฐํธ์ฌ๋ก์ ์ธ๋๊ฐํธ์ฌ์ ์
๋ฌดํ๋์ ์ ์ฐฉ์ํค๊ธฐ ์ํ ๊ธฐ์ด์๋ฃ๋ฅผ ์ ๊ณตํ๊ธฐ ์ํ์ฌ ์๋๋ ์์ ์ ์กฐ์ฌ์ฐ๊ตฌ์ด๋ค. ๋ณธ ์ฐ๊ตฌ์ ๋์์๋ ์์ธ ์์ฌ ์ผ ์๊ธ์ข
ํฉ๋ณ์ ์ธ๋์์ ํ์์ ๊ด๋ จ๋ ์
๋ฌด์ ์ข
์ฌํ๋ ๋ฉดํ๊ฐ ์๋ ๊ฐํธ์ฌ ์ค ํ ๊ทผ๋ฌด์ง์์ 6๊ฐ์ ์ด์ ๊ทผ๋ฌดํ๊ณ ์๋ ๊ฐํธ์ฌ๋ฅผ ๋์์ผ๋ก ํ์๋ค. ๋ณธ ์ฐ๊ตฌ์ ๋๊ตฌ๋ ๊ตฌ์กฐํ๋ ์ค๋ฌธ์ง๋ฅผ ์ด์ฉํ์๊ณ , ์ด 135๋ถ๊ฐ ํต๊ณ๋ถ์์ ์ฌ์ฉ๋์๋ค. ๋ณธ ์ฐ๊ตฌ์ ์ฌ์ฉ๋ ๋๊ตฌ๋ ์ธ๋๊ฐํธ์ฌ๊ฐ ์ธ์งํ๋ ์
๋ฌดํ๋ ์ํ๋์ ์ค์๋ ์ ๋๋ ์ฑ์ํฌ์ ๋ฐ์ ์(2003)์ ๋๊ตฌ๋ฅผ ํฉํ์ ๋ฑ(2007)์ด ์์ โค๋ณด์ํ ๋๊ตฌ, ์ง๋ฌด๋ง์กฑ๋๋ ์ ๊ฒฝ์์ ์ต์์(2013)์ด ํ๊ตญ์ด๋ก ๋ฒ์ญํ๊ณ ์ ๋ขฐ๋์ ํ๋น๋๊ฐ ๊ฒ์ฆ๋ COPSOQ-K๋ฅผ ๋ฐ์ธ์(2016)์ด ๋ณ์ ํ๊ฒฝ์ ๋ง๊ฒ ์์ โค๋ณด์ํ ๋๊ตฌ๋ฅผ ์ฌ์ฉํ์๋ค. ์์ง๋ ์๋ฃ๋ ๊ธฐ์ ํต๊ณ, ํ๊ท ๊ฒ์ , ๋ถ์ฐ๋ถ์, ์๊ด๋ถ์์ ์ด์ฉํ์ฌ ๋ถ์ํ์๊ณ , ์ฐ๊ตฌ์ ์ฃผ์๊ฒฐ๊ณผ๋ ๋ค์๊ณผ ๊ฐ๋ค.
1. ์๋ต์ 135๋ช
์ ํ๊ท ์ฐ๋ น์ 39.6์ธ์๊ณ , ์ฑ๋ณ์ 135๋ช
(100%) ๋ชจ๋ ์ฌ์ฑ์ด์๋ค. ๊ฒฐํผ์ํ๋ 95๋ช
(70.4%)์ด ๊ธฐํผ์์๊ณ , ์ต์ข
ํ๋ ฅ์ 92๋ช
(68.1%)์ด ํ์ฌ๋ก ๊ฐ์ฅ ๋ง์๋ค. ๊ณ ์ฉํํ๋ 121๋ช
(86.3%)์ด ์ ๊ท์ง์ด์๊ณ , ๋์์์ ์ด๊ฐํธ์ฌ ํ๊ท ๊ฒฝ๋ ฅ์ 16๋
์ด์๋ค. ์ด์ธ๋๊ทผ๋ฌด ํ๊ท ๊ฒฝ๋ ฅ์ 6๋
์ด์๊ณ , ํ๊ทผ๋ฌด์ง ํ๊ท ๊ฒฝ๋ ฅ์ 5๋
์ด์๋ค. ํ์ง์๋ 105๋ช
(77.8%)์ด ์ผ๋ฐ๊ฐํธ์ฌ์๊ณ , 30๋ช
(22.2%)์ ์ฑ
์๊ฐํธ์ฌ์๋ค. ์์๋ถ์๋ 69๋ช
(51.2%)์ด ์ธ๋๊ฐํธํ์ด์๊ณ , 38๋ช
(28.1%)์ ์๊ฐํธ๊ณผ, 28๋ช
(20.7%)์ ์์๊ฐํธ๊ณผ์๋ค. ๋ถ์์์์ ์ญํ ์ 89๋ช
(65.9%)์ด ์ธ๋๊ฐํธ์ฌ์๊ณ , ์ด์ง ๋๋ ๋ถ์์ด๋ ํฌ๋ง์ฌ๋ถ๋ 117๋ช
(86.7%)์ด โ์๋์คโ๋ก ์๋ตํ์๋ค.
2. ์ธ๋๊ฐํธ์ฌ๊ฐ ์ธ์งํ๋ ์ํ๋์ ์ค์๋์ ์ ์ฒดํ๊ท ์ 4์ ๋ง์ ์ ์ํ๋๋ 2.07ยฑ.38, ์ค์๋๋ 3.04ยฑ.50์ด์๋ค. ์ํ๋๋ 2.0 ์ด์, ์ค์๋๋ 3.0์ ์ด์์ธ ํ์์์ญ ์ค ์์ฌ์ํต์์ญ์ด ๊ฐ์ฅ ๋์๋ค. ๋ฐ๋ฉด ์ํ๋์ ์น๋ฃ์ ๊ฐํธ์์ญ(1.42ยฑ0.45)๊ณผ ์ค์๋์ ์ธ๋ ฅ๊ด๋ฆฌ ์์ญ(2.88ยฑ0.78)์ ๋ฎ์ ์ ์๋ฅผ ๋ณด์๋ค.
3. ์ํ๋์ ์ค์๋์ ์
๋ฌดํ๋๋ณ ์ฐจ์ด๋ ํต๊ณ์ ์ผ๋ก ์ ์ํ์๋ค. ์ํ๋๋ 3.0์ ์ด์์ผ๋ก โ์์ฃผ ์ํโ ๋๋ โ์ ์ ์ํโ์ด๋ผ๊ณ ์๋ตํ ๊ฐํธ์ฌ์ ํ์ ์์ญ๋ณ ์
๋ฌดํ๋์ผ๋ก์ ์ธ๋ํต์์
๋ฌด ์์ญ์ ์๋ด(3.11ยฑ0.69), ํ์๊ต์ก/์๋ด ์์ญ์ ๊ฒ์ฌ๊ด๋ จ ์ค๋ช
(3.01ยฑ0.75), ์์ฌ์ํต ์์ญ์ ํ์๋ฌธ์ ํด๊ฒฐ(3.04ยฑ0.76)์ด์๋ค. ์ค์๋๋ 3.0์ด์์ผ๋ก โ์ค์ํจโ ๋๋ โ๋งค์ฐ ์ค์ํจโ์ด๋ผ๊ณ ์๋ตํ ๊ฐํธ์ฌ์ ํ์์์ญ๋ณ ์
๋ฌดํ๋์ผ๋ก์ ์ธ๋ํต์์
๋ฌด ์์ญ์ ์์ฝ(3.32ยฑ0.71), ์๋ด(3.30ยฑ0.66), ์น๋ฃ์ ๊ฐํธ์์ญ์ ์ฌํ์์์ (3.43ยฑ0.94), ํ์์ฌ์ (3.34ยฑ0.85), ํ์๊ต์ก/์๋ด ์์ญ์ ๊ฒ์ฌ๊ด๋ จ ์ค๋ช
(3.41ยฑ0.56), ์งํ๊ด๋ จ ์ค๋ช
(3.36ยฑ0.60), ๋ณต์ฝ์๋ด(3.33ยฑ0.63), ํ์์นํธ ์์ญ์ ์ฌ๋ฆฌ์ /์ ์์ ์ง์ง(3.36ยฑ0.55), ์์ฌ์ํต ์์ญ์ ํ์๋ฌธ์ ํด๊ฒฐ(3.45ยฑ0.53), ์ ๋ณด๊ด๋ฆฌ ์์ญ์ ํ์ํต๊ณ(3.11ยฑ0.74) ๋ฑ์ ์ค์ํ๊ฒ ์ธ์งํ๊ณ ์์๋ค.
4. ์ธ๋๊ฐํธ์ฌ์ ์ฐ๋ น(F=4.852, p=0.009), ์ด๊ฐํธ์ฌ๊ฒฝ๋ ฅ(F=5.910, p=0.000), ์ด ์ธ๋๊ฒฝ๋ ฅ(F=3.406, p=0.011), ํ์ง์(t=-5.063, p=0.000), ์์๋ถ์(F=5.608, p=0.005), ๋ถ์์์์ ์ญํ (F=4.338, p=0.006)์ ๋ฐ๋ผ ์ํ๋๊ฐ ์ ์ํ ์ฐจ์ด ๋ฅผ ๋ณด์๋ค. ์ธ๋๊ฐํธ์ฌ์ ์ฐ๋ น(F=5.333, p=0.006), ๊ฒฐํผ(t=-2.040, p=0.043), ์ด๊ฐํธ์ฌ๊ฒฝ๋ ฅ(F=3.429, p=0.011)์ ๋ฐ๋ผ ์ค์๋๊ฐ ์ ์ํ ์ฐจ์ด๋ฅผ ๋ณด์๋ค.
5. ์ธ๋๊ฐํธ์ฌ์ ์ง๋ฌด๋ง์กฑ ์ ๋์ ์ ์ฒด ํ๊ท ์ 3.23ยฑ0.33์ด์๊ณ , ํ์ ์์ญ์ ๋๋ฃ ๋ฐ ์๊ด๊ณผ์ ๊ด๊ณ ํ๊ท ์ 3.58ยฑ0.38๋ก ๊ฐ์ฅ ๋์๋ค. ์
๋ฌดํ๊ฒฝ์ ํ๊ท ์ 3.32ยฑ0.44, ์ง๋ฌด๋ง์กฑ์ ํ๊ท ์ 2.76ยฑ0.42, ์์ ์
๋ฌด๋์ ํ๊ท ์ 3.12ยฑ0.74, ๊ฐ์ ์ ๋ถ๋ด์ ํ๊ท ์ 2.71ยฑ0.65, ์
๋ฌด์๋์ ํ๊ท ์ 2.13ยฑ0.76 ์์ด์๋ค. ๊ณ ์ฉํํ(t=2.253, p=.026), ํ์ง์(t=-2.379, p=.019), ์ด์ง ๋๋ ๋ถ์์ด๋ ํฌ๋ง์ฌ๋ถ(t=-2.839, p=.005)์ ๋ฐ๋ผ ์ง๋ฌด๋ง์กฑ ์ ๋๊ฐ ํต๊ณ์ ์ผ๋ก ์ ์ํ ์ฐจ์ด๋ฅผ ๋ณด์๋ค.
6. ์ํ๋์ ์ค์๋์ ์ฐจ์ด์ ์ง๋ฌด๋ง์กฑ๊ณผ์ ๊ด๊ณ๋ ํ์๊ต์ก/์๋ด ์์ญ์์ ๊ฐ์ ์ ๋ถ๋ด(r=.185, p=.032)์ด ํต๊ณ์ ์ผ๋ก ์ ์ํ ์์ ์๊ด๊ด๊ณ๋ฅผ ๋ณด์๋ค. ์์ฌ์ํต๊ณผ ๋๋ฃ ๋ฐ ์๊ด๊ณผ์ ๊ด๊ณ(r=-.155, p=.074), ์์ฌ์ํต๊ณผ ์์ ์
๋ฌด๋(r=-.148, p=.087), ์ ๋ณด๊ด๋ฆฌ์ ์์ ์
๋ฌด๋(r=-.153, p=.076)์ ์๊ด๊ด๊ณ๋ฅผ ๋ณด์์ผ๋ ํต๊ณ์ ์ผ๋ก ์ ์ํ์ง๋ ์์๋ค.
์ด์์ ๊ฒฐ๊ณผ๋ก ์ธ๋๊ฐํธ์ฌ๊ฐ ์ธ์งํ๋ ์
๋ฌดํ๋ ์ํ๋์ ์ค์๋, ์ง๋ฌด๋ง์กฑ๊ณผ์ ๊ด๊ณ๋ ํ์๊ต์ก/์๋ด๊ณผ ๊ฐ์ ์ ๋ถ๋ด์ด ํต๊ณ์ ์ผ๋ก ์ ์ํ ๊ฒ์ผ๋ก ๋ํ๋ฌ๋ค. ๋ณธ ์ฐ๊ตฌ์์ ์์ฌ์ํต๊ณผ ๋๋ฃ ๋ฐ ์๊ด๊ณผ์ ๊ด๊ณ, ์์ฌ์ํต๊ณผ ์์ ์
๋ฌด๋, ์ ๋ณด๊ด๋ฆฌ์ ์์ ์
๋ฌด๋์ ํต๊ณ์ ์ผ๋ก ์ ์ํ์ง๋ ์์์ง๋ง, ์๊ด๊ด๊ณ๊ฐ ์์์ ๋ํ๋๋ค. ์ด ๊ฒฐ๊ณผ๋ ํ์๊ต์ก/์๋ด, ์์ฌ์ํต, ์ ๋ณด๊ด๋ฆฌ์์ญ์ด ์ธ๋๊ฐํธ์ฌ์ ์ง๋ฌด๋ง์กฑ ์ ๋์ ์ค์ํ ์ญํ ์ ํ๋ค๋ ๊ฒ์ ๋ํ๋ธ๋ค. ๋ฐ๋ผ์ ์ธ๋๊ฐํธ์ฌ์ ์ง๋ฌด๋ง์กฑ์ ๋์ด๊ธฐ ์ํ์ฌ ํ์๊ต์ก/์๋ด, ์์ฌ์ํต, ์ ๋ณด๊ด๋ฆฌ๋ฅผ ์ํ ๊ต์ก ๋ฐ ๊ฐ์ฑ๊ต์ก, ์์ฌ์ํต๋ฅ๋ ฅ ํฅ์์ ์ํ ์ ๋ฌธ์ ์ธ ๊ต์กํ๋ก๊ทธ๋จ ๋ฑ ์ ๋์ ์ธ ์ง์์ด ํ์ํ๊ณ , ํ์์๋ฃ๋ฅผ ํจ๊ณผ์ ์ผ๋ก ๊ด๋ฆฌํ๊ณ , ๊ธฐ๋ก์ ๊ฐํํ ์ ์๋ ํ๋ก๊ทธ๋จ ๊ฐ๋ฐ์ด ํ์ํ๋ค.
This study is descriptive survey research to identify the job performance and job importance recognized by outpatient nurses and to figure out the impact of job performance and job importance on job satisfaction. The participants were nurses who have been working for the outpatient clinic in a tertiary hospital more than 6 months. Data were collected through structured questionnaires from Oct 17th to 19th. 2016. 135 samples were used for statistical analysis. Data were analyzed by using t-test, ANOVA, and Pearson correlation were used for data analysis.
The major results of the study are as follows:
1. The average age of participants was 39.6 years old, and sex was all female. The married was 70.4%, 68.1% of participants had bachelor's degree as the highest degree of education. Full time employees were 86.3%. The average nursing career was 16 years, the average career length at the outpatient clinic was 6 years, and the average career length at the current outpatient clinic was 5 years. The proportion of staff nurses is 77.8% and the proportion of charge nurses is 22.2%. The proportion of general outpatient nurses was ranked high (51.2&). Most participants(65.9%) played...ope