71 research outputs found
μμνλ ₯μ±, μ¬νμ μ§μ§, κ΅° μν λ§μ‘±λκ° κ΅° κ²½ν ν μ±μ₯μ λ―ΈμΉλ μν₯
νμλ
Όλ¬Έ (μμ¬)-- μμΈλνκ΅ λνμ : κ°νΈνκ³Ό, 2014. 2. νμμ.λ³Έ μ°κ΅¬λ λ³μ¬λ‘μ κ΅° μ무볡무λ₯Ό λ§μΉ μ λ κ΅°μΈλ€μ λμμΌλ‘ κ·Έλ€μ κ΅° κ²½ν ν μ±μ₯μ λν΄ νμ
νκ³ , μ΄μ μν₯μ λ―ΈμΉλ μμΈλ€μ νμΈνκΈ° μν μμ μ μ‘°μ¬ μ°κ΅¬μ΄λ€.
κ΅° κ²½ν ν μ±μ₯μ΄λ μκ²½ ν μ±μ₯(Posttraumatic Growth) κ°λ
μ μ°λ¦¬λλΌ λ¨μ±μ νΉμ§μ μΈ μκ²½ κ²½νμΈ κ΅° 볡무μ μ μ©ν κ²μΌλ‘, κ΅° 볡무λ₯Ό κ²½ννλ©° κ°μΈμ΄ μ»κ² λλ κΈμ μ μΈ μ¬λ¦¬λ³νλ₯Ό λ»νλ€. λ³Έ μ°κ΅¬μ λͺ©μ μ κ΅° 볡무 ν κ°μΈμ΄ μ΄λ ν μ±μ₯μ κ²½ν νλμ§ νμΈνκ³ , μ΄ κ³Όμ μ μμνλ ₯μ±, μ¬νμ μ§μ§, κ΅° μν λ§μ‘±λκ° λ―ΈμΉλ μν₯μ΄ λ¬΄μμΈμ§ λΆμνλ κ²μ΄λ€.
μ°κ΅¬μ λμμλ μ μ ν νμ¬ 4λ
μ λνκ΅μ μ¬ν μ€μΈ λνμμΌλ‘ μλ£ μμ§μ 2013λ
9μβΌ10μ μ€ μνλ νμ μλΉκ΅° νλ ¨ κΈ°κ° λμ νλ ¨ μ€μΈ λΆλμ μ°κ΅¬μκ° λ°©λ¬Ένμ¬ μ°κ΅¬μ λν΄ μ€λͺ
ν ν μ§νλμλ€. μ°κ΅¬μλ ꡬ쑰νλ μ€λ¬Έμ§λ₯Ό μ΄μ©νμμΌλ©°, μ°κ΅¬λ₯Ό μν΄ λ°°ν¬λ 450λΆμ μ€λ¬Έ μ€ μλ£κ° λΆμΆ©λΆνκ² κΈ°μ
λμ΄ μκ±°λ λ³μ¬λ‘ 근무νμ§ μμ μ, μ μ ν 5λ
μ΄μ κ²½κ³Όν μ, κ΅° μνμ μκ²½μΌλ‘ μκ°νμ§ μλ μ λ± λ³Έ μ°κ΅¬μ μ ν©νμ§ μμ μλ£λ₯Ό μ μΈνμ¬ μ΄ 317λΆλ₯Ό λΆμνμλ€. μλ£ λΆμμ SPSS 19.0 νλ‘κ·Έλ¨μ μ΄μ©νμμΌλ©° κΈ°μ ν΅κ³ λ° t-test, ANOVA, μκ΄λΆμ, λ€μ€ νκ· λΆμμ λ°©λ²μ΄ μ¬μ©λμλ€.
λ³Έ μ°κ΅¬μ κ²°κ³Όλ λ€μκ³Ό κ°λ€.
1. λμμλ€μ κ΅° κ²½ν ν μ±μ₯ μ μλ 3.09μ μΌλ‘ μ€κ°λ³΄λ€ λμ μμ€μ΄μμΌλ©°, κ°μ₯ ν° μ±μ₯μ λ³΄μΈ νμμμΈμ κ°μΈ λ΄μ μΈ νμ μ±μ₯μ΄μλ€.
2. κ΅° κ²½ν ν μ±μ₯μ μμνλ ₯μ±(r=.39, p<0.01), μ¬νμ μ§μ§(r=.43, p<0.01), κ΅° μν λ§μ‘±(r=.52, p<0.01)κ³Ό λͺ¨λ μμ μκ΄κ΄κ³λ₯Ό 보μμΌλ©° κ·Έ μ€μμλ κ΅° μν λ§μ‘±μ νμμμΈμΈ μλ―Έλ§μ‘±κ³Ό λμ μκ΄μ 보μλ€(r=.56, p<0.01).
3. μμνλ ₯μ± μ€ λκ΄μ±(Ξ²=.21, p<0.001), μ¬νμ μ§μ§ μ€ μ 보μ μ§μ§(Ξ²=.23, p<0.001), κ΅° μν λ§μ‘± μ€ μλ―Έλ§μ‘±(Ξ²=.43, p<0.001), μ μμ μκ²½ μ λ(Ξ²=.16, p<0.001)λ κ΅° κ²½ν ν μ±μ₯μ μν₯μ λ―ΈμΉλ λ³μλ‘ μ΄ λͺ¨νμ μ€λͺ
λ ₯μ 43%μλ€.
μ΄μμ κ²°κ³Όλ₯Ό μ’
ν©νμ¬ λ³Ό λ, λμμλ€μ κ΅° κ²½νμ ν΅ν΄ κΈμ μ μΈ μ±μ₯μ κ²½νν κ²μΌλ‘ 보μΈλ€. νΉν, λκ΄μ μΈ μ±ν₯κ³Ό κ΅° μνμ λν΄ μΆ©λΆν μΆ©κ³ μ μ‘°μΈμ λ°μΌλ©° κ΅° 볡무μ λν΄ λͺ
μμ μλΆμ¬μ λλΌλ κ²μ΄ μ±μ₯μ μν₯μ λ―ΈμΉλ κ²μΌλ‘ νμΈλμλ€. λν κ΅° μνμ μλ―Έ, νκ²½, κ΄κ³, μ
무μ λν λ§μ‘±κ°μ΄ μ±μ₯κ³Ό κ΄λ ¨μ΄ λμμ νμΈ ν μ μμλ€. λ°λΌμ μ΄λ¬ν κ²°κ³Όλ₯Ό λ°νμΌλ‘ μ₯λ³λ€μ΄ κ΅° μνμ ν΅ν΄ κΈμ μ μΈ μ±μ₯μ λ§μ΄ κ²½ννλλ‘ νκΈ° μν νκ²½μ΄ νμνλ©°, μ±μ₯μ μ΄μ§μν€κΈ° μν 체κ³μ μΈ νλ‘κ·Έλ¨μ λ§λ ¨μ΄ μꡬλλ€. μ΄λ₯Ό μν΄ κ΅° μν λ§μ‘±κ³Ό λμ μκ΄μ λ³΄μΈ κ΅° λ΄λΆμμμ μ§μ§λ₯Ό μμΉμν€λ©°, κ΅° μν λ§μ‘±λλ₯Ό λμ΄κΈ° μν΄ λ€κ°λλ‘ μ°κ΅¬νκ³ λ
Έλ ₯ν΄μΌ ν κ²μ΄λ€.
μ£Όμμ΄ : κ΅° 볡무, μκ²½, μμνλ ₯μ±, μ¬νμ μ§μ§, κ΅° μν λ§μ‘±λ, κ΅° κ²½ν ν μ±μ₯β
. μλ‘
1. μ°κ΅¬μ νμμ±
2. μ°κ΅¬μ λͺ©μ
3. μ©μ΄μ μ μ
β
‘. λ¬Ένκ³ μ°°
1. κ΅° κ²½ν
1) κ΅° 볡무μ μκ²½
2) κ΅° μν λ§μ‘±
2. μκ²½ ν μ±μ₯
3. μ±μ₯ κ΄λ ¨μμΈ
1) μμνλ ₯μ±
2) μ¬νμ μ§μ§
β
’. μ΄λ‘ μ κΈ°ν
β
£. μ°κ΅¬λ°©λ²
1. μ°κ΅¬μ€κ³
2. μ°κ΅¬λμμ
3. μ°κ΅¬λꡬ
4. μλ£μμ§
5. μλ£λΆμ
β
€. μ°κ΅¬κ²°κ³Ό
1. μ°κ΅¬λ³μμ κΈ°μ ν΅κ³
2. μΌλ°μ νΉμ±κ³Ό μκ²½ μ λμ λ°λ₯Έ μ°¨μ΄
3. κ° λ³μκ°μ μκ΄λΆμ
4. κ° λ³μκ° κ΅° κ²½ν ν μ±μ₯μ λ―ΈμΉλ μν₯
β
₯. λ
Όμ
1. κ΅° κ²½ν ν μ±μ₯
2. μ±μ₯ κ΄λ ¨ μμΈ
3. μ°κ΅¬μ μμμ μ νμ
β
¦. κ²°λ‘ λ° μ μΈ
μ°Έκ³ λ¬Έν
λΆλ‘
AbstractMaste
Prevalence of Diabetes Mellitus(Fasting Plasma Glucose by the ADA Criteria) and Impaired Fasting Glucose according to Anthropometric Characteristics and Dietary Habits
Background: The study is based on the National Health and Nutrition Examination Survey in Korea(1998). With these data, we want to predict the prevalence of diabetes mellitus(DM) and impaired fasting glucose(IFG), By investigating anthropometric characteristics and dietary intake habits, we also wanted to analyze any significant correlation between those factors and the prevalences of DM and IFG.
Methods: The study group was comprised of 8,166 people, a representative group of Koreans, who had undergone a health check-up and food intake survey among the total 39,331 members of 12,189 families who were surveyed.
Results: The final results are as the follows. 1) The peak prevalence of DM was 15.92% among women in their sixties and 18.21% among men in their fifties, and that of IFG was found to be 16.27% of women in their seventies and 14.09% of men in their sixties. 2) When analyzing the eating habits and the prevalences of DM and IFG, we found that women with more glucose intake had a lesser risk of DM, but this was of no statistical significance. 3) In men, age, total cholesterol, triglyceride(TG), and hypertension(HTN) were revealed as meaningful factors and in women, age, TG, and HTN were revealed as meaningful factors. As to the IFG, in females, age and TG were meaningful factors, and in males, age, TG, the waist/hip ratio (WHR), and body mass index (BMI) were meaningful factors.
Conclusion: Although this study could not demonstrate meaningful correlation between diet habits and DM, the prevalence of IFG and the recent increase in the prevalence of DM in Koreans, owing to alterations in their diet habits, demands further organized group study for a better understanding of their relationshipope
μ ν΅ μμ μ κΈ°μ μ§λλ²μ λν μ°κ΅¬
νμλ
Όλ¬Έ(μμ¬)--μμΈλνκ΅ λνμ :νλκ³Όμ μμ
κ΅μ‘μ 곡,1999.Maste
μμ λͺ©ν μλ―Έμ μΆκ΅¬ κ³Όμ
μμ λͺ©νλ κ°μΈμ΄ μΆμμ κΆκ·Ήμ μΌλ‘ μ΄λ£¨κ³ μ νλ μ§ν₯μ μ λνλΈλ€. μ±μΈμ΄ λκΈ° μ νμλ€μ μμ λͺ©νλ₯Ό μ€μ νκΈ°μ μ ν©ν μΈμ§μ λ₯λ ₯λ€μ κ³λ°νλ λ°λ¬μ λ¨κ³μ μμ λΏλ§ μλλΌ(Keating, 1980), λ―Έλμ λν λͺ©νλ₯Ό μ€μ νκ³ μΆκ΅¬νλ κ²μ νμλ€μ μ¬λ¦¬μ 건κ°κ³Ό νμ
μ±μ·¨μλ κ²°μ μ μΈ μν₯μ λ―ΈμΉλ€(Cantor et al., 1991; Harris et al., 2003; Headey, 2008; Nurmi, Salmela-Aro & Koivisto, 2002). κ·Έλ¬λ μ§κΈκΉμ§ μμ λͺ©νμ κ΄λ ¨λ μ°κ΅¬λ€μ μμ λͺ©νμ λ΄μ©κ³Ό μΈμ λ± μμ λͺ©νκ° μ΄λ―Έ μ€μ λ μ΄ν λͺ©νμ λν λΆμμ΄ μ£Όλ₯Ό μ΄λ£¨κ³ μκΈ° λλ¬Έμ(Schmuck & Sheldon, 2001), νμλ€μ΄ μμ λͺ©νλ₯Ό μ€μ νκ³ μΆκ΅¬νλ μΈλΆμ κ³Όμ μ λν μ΄ν΄κ° λΆμ‘±νλ€. κ·Έλ¬λ―λ‘, μμ§κΉμ§ μ νμ°κ΅¬λ€μμ λ§μ΄ λ€λ£¨μ§ μμλ μμ λͺ©ν μ€μ κ³Ό μΆκ΅¬ κ³Όμ μ λκΈ°μ νΉμ±μ λν μ°κ΅¬λ νμλ€μ΄ λ³΄λ€ μ±κ³΅μ μΈ μ±μΈμΌλ‘ μ±μ₯ν μ μλλ‘ λμμ μ£Όλ μ€μν κ΅μ‘μ μμ¬μ μ μ μν μ μμ κ²μ΄λ€.
그리νμ¬ λ³Έ μ°κ΅¬μμ νμΈνκ³ μ ν μ°κ΅¬ λ¬Έμ λ λ€μκ³Ό κ°λ€. 첫째, μμ λͺ©νλ₯Ό κ°μ§ λνμλ€μκ² μμ λͺ©ν μ€μ μ μλ―Έλ 무μμΈκ°? λμ§Έ, μμ λͺ©νλ₯Ό κ°μ§ λνμλ€μ μ΄λ ν κ³Όμ μ ν΅ν΄ μμ λͺ©νλ₯Ό μ€μ νκ³ μΆκ΅¬νκ² λλκ°? μμ μ°κ΅¬λ¬Έμ λ₯Ό νμΈνκΈ° μν΄ μμ λͺ©νλ₯Ό μ€μ ν λνμ 5λͺ
κ³Ό κ·Έλ μ§ λͺ»ν λνμ 2λͺ
μ λμμΌλ‘ μ¬μΈ΅ λ©΄λ΄μ΄ μ§νλμκ³ , κ·Όκ±° μ΄λ‘ (grounded theory)μ κΈ°λ°ν μ£Όμ λΆμ(thematic analysis) (Braun & Clarke, 2006)μ μ¬μ©νμ¬ λ©΄λ΄ λ΄μ©μ λΆμνμλ€.
μ°κ΅¬ κ²°κ³Ό, νμλ€μ΄ κ°μ μμ λͺ©νμ λΆμ¬νλ μλ―Έλ ν¬κ² κ°μΉμ§ν₯μ κ³Ό κ²°κ³Όμ§ν₯μ μλ―Έλ‘ κ΅¬λΆλλ©°, μμ λͺ©νκ° μ§ν₯νλ μλ―Έμ λ°λΌ νμ±λλ λͺ©νμ μ νμ μ°¨μ΄κ° μμμ νμΈν μ μμλ€. κ°μΉμ§ν₯μ λͺ©νλ₯Ό κ°μ§ νμλ€μ κ°μΈ μ΄μμ μ¬νμ μλ―Έ μλ κ°μΉλ₯Ό μΆκ΅¬νλ μ¬νμ λͺ©μ (social purpose)(Damon, Menon & Bronk, 2003)μ λ°λ¬ν λ°λ©΄ κ²°κ³Όμ§ν₯μ λͺ©νλ₯Ό κ°μ§ νμλ€μ μμ λͺ©νλ μ¬νμ μΈμ κ³Ό κ΄κ³λ₯Ό μΆκ΅¬νλ μ¬νμ λͺ©ν(social goal)μ ννλ₯Ό λνλ΄λ κ²μ νμΈν μ μμλ€.
λν, μμ λͺ©νλ₯Ό κ°μ§ νμλ€μ 곡ν΅μ μΌλ‘ μμ λͺ©νλ₯Ό μ΄λ£¨κ³ μ νλ λΆμΌμ λν λμ μμ€μ λ΄μ¬μ ν₯λ―Έλ₯Ό λνλ΄μλ€. μ΄ νμλ€μ΄ κ°μ§κ³ μλ λμ μμ€μ ν₯λ―Έλ μμ λͺ©νλ₯Ό μ€μ νλ λ° κ°μ₯ κ²°μ μ μΈ μν₯μ λ―ΈμΉλ κ²μΌλ‘ νμΈλμλ€. λ΄μ¬μ ν₯λ―Έλ λν νμλ€λ‘ νμ¬κΈ μμ λͺ©νλ₯Ό λ¬μ±ν΄μΌ νλ€λ μ λ
μ νμ±νκ² νμμΌλ©°, μΌλΆ νμλ€μ λͺ©νλΏ μλλΌ λͺ©νλ₯Ό λ¬μ±ν μ μλ κ°μΈμ λ₯λ ₯μ λν νμ μ λ°λ¬νλ κ²μ νμΈν μ μμλ€.
λ§μ§λ§μΌλ‘ μμ λͺ©νλ₯Ό κ°μ§ νμλ€μ κ·Έλ μ§ λͺ»ν νμλ€κ³Όλ λ¬λ¦¬ λͺ©νλ₯Ό μΆκ΅¬νλ κ³Όμ μμ μκΈ°μ‘°μ λ₯λ ₯κ³Ό μμνλ ₯μ±μ΄λΌλ μ°¨λ³μ νΉμ±μ 보μλ€. μμ λͺ©νλ₯Ό κ°μ§ νμμ νμ
μ ν¬ν¨ν μ λ°μ μΈ μμ λͺ©ν μΆκ΅¬ κ³Όμ μ λ₯λμ μΌλ‘ μ°Έμ¬νκ³ λ€μν μΈμ§μ μ λ΅μ μ¬μ©νλ λ©νμΈμ§λ₯Ό νμ©νλ μκΈ°μ‘°μ μ λͺ¨μ΅μ 보μλ€. κ·Έ κ²°κ³Ό λͺ©ν μΆκ΅¬ κ³Όμ μμ κ²½ννκ² λλ μ¬λ¬ μ΄λ €μμ μ μ°νκ² λμ²νκ³ κ·Έ κ²½νμ μκΈ° κ³λ°μ κΈ°νλ‘ μΌμ λ―Έλμ λν΄ κΈμ μ μΈ κΈ°λλ₯Ό νμ±νλ μμνλ ₯μ νΉμ±μ νμΈν μ μμλ€.
μ΄λ¬ν κ²°κ³Όλ₯Ό λ°νμΌλ‘ λ³Έ μ°κ΅¬λ μ±μΈμ΄ λκΈ° μ νμλ€μ΄ κ°κ°μΈμ ν₯λ―Έ μλ λΆμΌλ₯Ό νμνκ³ μμ μ λ₯λ ₯μ λν΄ κΈμ μ μΈμμ κ°μ§ μ μλλ‘ κ΅μ‘μ κ°μ
μ΄ μ€μμλ¨μ μμ¬νλ€. μ΄λ ν₯λ―Έμ μ±κ³΅ κ°λ₯μ±μ λν μΈμμ΄ νμλ€μ΄ μμ λͺ©νλ₯Ό μ€μ νκ³ μ κ·Ήμ μΌλ‘ μΆκ΅¬νλλ° ν΅μ¬μ μν μ νκ³ , μμ λͺ©νλ₯Ό μΆκ΅¬νλ κ³Όμ μ ν΅ν΄ νμλ€μ μκΈ°μ‘°μ λ₯λ ₯κ³Ό μμνλ ₯μ± λ±μ λ°λ¬μ μμ°μ μ»κ² λκΈ° λλ¬Έμ΄λ€. μΆκ°μ μΌλ‘ νμλ€μ΄ μμ λͺ©νμ κ°μΈμ μΈ‘λ©΄κ³Ό μ¬νμ μΈ‘λ©΄μ ν΅ν©ν μ μλλ‘ κΈ°νλ₯Ό μ 곡νκ³ μ¬νμ κ°μΉλ₯Ό λ΄λ©΄ν νλλ‘ κ°μ‘°νλ κ²μ νμλ€μ κ°μΈμ μ±μ₯λΏ μλλΌ λ―Έλμ¬νμ κΈ°μ¬νλ μΈμ¬λ‘μ μ±μ₯μ κΈ°μ¬ν μ μμ κ²μμ μμ¬νλ λ°μ΄λ€.I. μ λ‘ 1
1. μ°κ΅¬μ νμμ± λ° λͺ©μ 1
2. μ°κ΅¬ λ¬Έμ 5
II. μ΄λ‘ μ λ°°κ²½ 6
1. μμ λͺ©ν 6
2. μμ λͺ©νμ μ νμ°κ΅¬ 8
3. μμ λͺ©ν μΆκ΅¬ κ³Όμ 11
4. μμ λͺ©νμ λκΈ°μ μμΈ 15
III. μ°κ΅¬ λ°©λ² 22
1. μ°κ΅¬ μ°Έμ¬μ 23
2. μ°κ΅¬ λ°©λ² λ° μ μ°¨ 27
3. μλ£ λΆμ λ° μ°κ΅¬ κ²°κ³Όμ νλΉν 30
IV. μμ λͺ©ν μΆκ΅¬ κ³Όμ 32
1. 물리νμ μλ©΄ λͺ¨λ μ§ ν μ μλ€(μμΈμ€) 32
2. λ¬ κ±΄ λ°λμ κ°λΌ μλλ€(μ€μ°μ) 41
3. μμ°μμ νλ κ² ν¨μ¬ μ’μΌλκΉ(κ°νμ) 47
4. λ
Έλ²¨μ μμ(κΉλμ) 55
5. μ΄μ μ’ λ λ₯λμ μΌλ‘(κΉμ§μ±) 63
6. κ·Έλ₯ ν΄μΌ λλ μ€ μκ³ (μ μ¬μ±) 70
7. κΏμ΄ κ³μ μμμ΄μ(μ μμ§) 77
V. μμ λͺ©ν μλ―Έ λ° μΆκ΅¬ κ³Όμ 82
1. μμ λͺ©ν μλ―Έ 82
2. μμ λͺ©ν μΆκ΅¬ κ³Όμ 92
VI. κ²°λ‘ 130
1. μμ½ 130
2. λ
Όμ λ° μμ¬μ 133
3. μΆνμ°κ΅¬μ μΈ 142
μ°Έκ³ λ¬Έν 145
Abstract 161Maste
Study on job-related stress of nurse in non-life insurance company.
μ§μμ¬ν κ°νΈνκ³Ό/μμ¬[νκΈ]
λ³Έ μ°κ΅¬λ μν΄λ³΄ννμ¬ μ¬μ¬κ°νΈμ¬μ μ
무μ€νΈλ μ€ μ’
λ₯μ μ λλ₯Ό λΆμν¨μΌλ‘μ¨ μν΄λ³΄ννμ¬ μ¬μ¬κ°νΈμ¬κ° κ²½ννλ μ€νΈλ μ€μ λν κΈ°λ³Έμ 보λ₯Ό μ 곡νκ³ μ μλνκ² λμλ€.
λ³Έ μ°κ΅¬μ λμμ 2001λ
4μ μ κ΅ μ§ν ν(Direct Controlling Compensation Team)μ λΆν¬λμ΄ μλ κ΅λ΄ 11κ° μν΄λ³΄ννμ¬μ μ¬μ¬κ°νΈμ¬ 133λͺ
μ΄λ©°, μλ£μμ§κΈ°κ°μ 2001λ
4μ 1μΌ ~ 2001λ
4μ 16μΌκΉμ§ 16μΌ λμμ΄λ€. λ°°λΆλ μ€λ¬Έμ§λ μ΄ 151λΆμ΄λ©° κ·Έ μ€μμ
138λΆκ° νμλμ΄ νμμ¨μ 91%μ΄μλ€. μ°κ΅¬λꡬλ μ°κ΅¬μ£Όμ μ κ΄λ ¨λ λ¬Έν κ³ μ°°κ³Ό μ νμΈν°λ·°λ₯Ό ν΅νμ¬ λ¬Ένκ°λ°μ ν ν, surveyλ₯Ό κ±°μ³μ μ€νΈλ μ€ λꡬ 20λ¬Ένμ νμ νμκ³ μ λ¬Έκ°μ μλ¬Έμ μ»μ΄μ λꡬμ νλΉλ κ²μ¦μ μ μ°¨λ₯Ό κ±°μ³μ λ³Έ μ°κ΅¬μκ° κ°λ°νμμΌλ©°, μ΄ μ°κ΅¬λꡬλ₯Ό μ¬μ©νμ¬ μν΄λ³΄ννμ¬ μ¬μ¬κ°νΈμ¬μ μ
무μ€νΈλ μ€ μ λλ₯Ό νμ
νμλ€. μ€λ¬Έμ§ μ΄ λ¬Έν μλ 58λ¬ΈνμΌλ‘μ μΌλ°μ μΈ νΉμ± 13λ¬Έν, μ€νΈλ μ€μ λ 20λ¬Έν, μ€νΈλ μ€ κ°λ±μμΈ λ° ν΄κ²°λ°©μμ 25λ¬ΈνμΌλ‘ ꡬμ±νμλ€. μλ£ λΆμμ Windows SAS 6.12λ₯Ό μ΄μ©ν μ μ°μ²λ¦¬ ν΅κ³λ°©λ²μ μ΄μ©νμμΌλ©°, μΌλ°μ μΈ νΉμ±μ λΉλμ λ°±λΆμ¨μ μ¬μ©νμκ³ , λ¬Ένλ³ μ μλ νκ· , νμ€νΈμ°¨λ₯Ό ꡬνμμΌλ©°, μΌλ°μ μΈ νΉμ±μ λ°λ₯Έ μ€νΈλ μ€μ λμ λνμ°¨μ΄κ²μ¦μ λ³μμ νΉμ±μ λ°λΌ t-test λλ F-test(ANOVA)λ₯Ό μ΄μ©νμλ€.
λ³Έ μ°κ΅¬λ₯Ό ν΅ν΄ μ»μ μ°κ΅¬κ²°κ³Όλ λ€μκ³Ό κ°λ€.
1. λ³Έ μ°κ΅¬λμμμ μ
무 μ€νΈλ μ€ λ¬Ένμ λ°λ₯Έ μ€νΈλ μ€ μ λλ μ΅λ 4.11, μ΅μ 2.85, νκ· 3.46μ΄μλ€.
2. μν΄λ³΄ννμ¬ μ¬μ¬κ°νΈμ¬κ° κ²½ννλ μ€νΈλ μ€ μμΈμ [μ¬μ¬μ
무μ λν μ¬λ¦¬μ μΈ λΆλ΄κ°]μ΄ κ°μ₯ λμ 3.65λ‘ λνλ¬μΌλ©°, [ν λΆμΌ μμκ³Όμ κ°λ±]μ΄ 3.64, [μ λ¬Έμ§μΌλ‘μμ μν κ°λ±]μ΄ 3.57, [μ
무λ κ³Όμ€]μ΄ 3.36, [μ
무μνκ°λ±]μ΄ 3.15μ μμλ‘ λνλ¬λ€.
3. μν΄λ³΄ννμ¬ μ¬μ¬κ°νΈμ¬μ μΌλ°μ μΈ νΉμ±λ³ μ€νΈλ μ€ μ λμλ ν΅κ³μ μΈ κ²μ¦μ ν΅ν μ μν κ²°κ³Όλ₯Ό μ€μ¬μΌλ‘ μ 체λ₯Ό λΆμνλ©΄ ν λΆμμ 근무경λ ₯κ³Ό μμλΆμμμ ν΅κ³μ μΌλ‘ μ μν κ΄κ³κ° μλ κ²μΌλ‘ λνλ¬λ€. μ€νΈλ μ€ μμΈμμ μ λ¬Έμ§μΌλ‘μμ μν κ°λ±
κ³Ό κ΄λ ¨λ μΌλ°μ μΈ νΉμ± μ€ ν΅κ³μ μΌλ‘ μ μν κ²μ μνκ· μλ(F=4.63, p<0.05)κ³Ό μμλΆμ(F=5.80, p<0.01)μ΄λ€. μ΄μΈμλ μ
무μνκ°λ±κ³Ό κ΄λ ¨λ μΌλ°μ μΈ νΉμ± μ€ ν΅κ³μ μΌλ‘ μ μν κ²μ μμλΆμ(F=4.75, p<0.05)λ‘ λνλ¬μΌλ©°, ν λΆμΌ μμκ³Όμ κ°λ±κ³Ό κ΄λ ¨λ μΌλ°μ μΈ νΉμ± μ€ ν΅κ³μ μΌλ‘ μ μν κ²μ μ
μ¬νκΈ° μ μμ근무기κ°(λ
)μΌλ‘(t=2.16,p<0.05) λνλ¬μΌλ©° μ°λ Ήμ΄ λ§ 31~ 35μΈ, μ
μ¬νκΈ° μ μμκ²½λ ₯ 5λ
μ΄μμ κ²½λ ₯μ μ§λ근무μκ° λμ μ€νΈλ μ€λ₯Ό κ²½ννλ κ²μΌλ‘ λνλ¬λ€.
4. μν΄λ³΄ννμ¬ μ¬μ¬κ°νΈμ¬λ€μ΄ ν μ§μ’
μ 근무νκ³ μλ μ¬μ¬κ°νΈμ¬μλ λ€λ₯΄κ² μν΄λ³΄ννμ¬μμ μ£Όλ‘ λ΄λΉνκ³ μλ 5κ°μ§ λΆμΌμ μ
무 μ’
λ₯(μΉλ£λΉμ¬μ¬, νμκ΄λ¦¬, μ 체κ°μ , μ₯ν΄μ¨νκ°, μ§μκ΅μ‘)μ κ΄λ ¨λ κ°κ°μ κ°λ±λ΄μ© λ° ν΄κ²°λ°©μμ μμ΄μ μΉλ£λΉμ¬μ¬μ κ°λ±λ΄μ© 1μμλ ν©λ¦¬μ μΈ μ μ©κΈ°μ€μ΄ μλ€λ κ²μ΄κ³ , ν΄κ²°λ°©μ 1μμλ μ€λ¬΄λ₯Ό μΆ©λΆν κ³ λ €ν μ¬μ¬κΈ°μ€ μ±
μκ° λ§λ ¨λμ΄μΌ νλ€λ νλͺ©μ΄μλ€. μ΄μΈμλ μ 체κ°μ μ κ°λ± λ΄μ©μΌλ‘μλ νμ(νΌν΄μ)μ λνμ¬ μνμ μΈ νλ¨ λ° κ²°μ μ νκΈ° μνμ¬ κ°μ μμ¬ νΉμ νΌν΄μλ₯Ό μ§μ λ§λλ κ²μ΄λ, μ 체κ°μ λ³μμ νλκ° λΉνμ‘°μ μ΄λΌλ κ²μ΄ λλΆλΆμ μ°¨μ§νμμΌλ©° ν΄κ²°λ°©μμΌλ‘λ μ 체κ°μ μμ½μ λκ° νμ±ν λμ΄μΌ νλ€ μ΄κ±°λ μ 체κ°μ μ μ μν μ μλ μ§μμ μμ±ν΄μΌ νλ€λ κ²μ΄ ν΄κ²°λ°©μμΌλ‘ λνλ¬λ€.
μ₯ν΄μ¨ νκ°μ μμ΄μ κ°λ± λ΄μ©μ μ μ©κΈ°μ€μ΄ λ―ΈλΉνλ€λ κ²μ΄ κ°μ₯ λ§μ μλ₯Ό λνλμΌλ©° ν΄κ²°λ°©μμΌλ‘λ λλΆλΆ νμ© κ°λ₯ν κΈ°μ€μ±
μλ₯Ό λ§λ ¨ν΄μΌνλ€λ κ²μΌλ‘ λνλ¬λ€.
νμκ΄λ¦¬μ μμ΄μ κ°λ±λ΄μ©μ λλΆλΆμ λ°©λ¬Έ ν ν₯ν μ₯ν΄ λ¬Έμ 보μκΈμ‘κ³Ό κ²°λΆνμ¬ λ³΄κ³ (report)λ₯Ό ν΄μΌ νλ κ²μμ μ£Όλ‘ κ°λ±μ λλΌλ κ²μΌλ‘ λνλ¬μΌλ©° ν΄κ²°λ°©μμΌλ‘λ μ§μκ° μ κΈ°μ μΈ ν μλ₯Ό ν΄μΌ νλ€λ κ²κ³Ό μ£ΌμΉμλ₯Ό λ©΄λ΄ν΄μΌ νλ€λ κ²μΌλ‘ λνλ¬λ€.
μ§μκ΅μ‘μ μμ΄μ κ°λ±λ΄μ©μ λλΆλΆμ κ΅μ‘ μλ£λ₯Ό μμ±ν΄μΌ νλ€λ κ²μΌλ‘ λνλ¬μΌλ©° ν΄κ²°λ°©μμ μ°μ μμλ‘ κ΅μ‘ μλ£μ 보μ λ° κ΅μ‘λΆμμ κ΅μ‘μ μ μν΄μΌ νλ κ²μΌλ‘λνλ¬λ€.
μ΄μμ μ°κ΅¬κ²°κ³Όμμ, μν΄λ³΄ννμ¬ μ¬μ¬κ°νΈμ¬μ μ
무μ€νΈλ μ€ μμΈ μ€μλ μ¬μ¬μ
무μ λν μ¬λ¦¬μ μΈ λΆλ΄κ°, ν λΆμΌ μμκ³Όμ κ°λ± λ±μ΄ λμ μ€νΈλ μ€ μμΈμΈ κ²μΌλ‘ νμ
λμλ€. λ°λΌμ νμ¬μ κ΄λ¦¬μλ μ¬μ¬κ°νΈμ¬λ€μ μ
무νΉμ±μ ꡬ체μ μΌλ‘ νμ
νμ¬ μ
무κ°λ°
λ° μ€νμ λ§μ κ΄μ¬μ κ°κ³ 보νμ¬μ¬λ₯Ό λ΄λΉνλ μΈλ ₯μ μΆ©λΆν μ§μν΄μ£Όλ©°, ν λΆμΌ μμκ³Όλ μ
λ¬΄κ° μννκ² μ μ΄λ£¨μ΄μ§λλ‘ μ§μν΄ μ€ νμκ° μλ€.
μΈλ ₯κ°μ κ°λ± μ‘°μ λ°©μμ κ°κ΅¬νκ³ , μ€νΈλ μ€λ₯Ό μνμν¬ μ μλ ν΄κ²°λ°©μμ μ κ³ νλ€λ©΄ μν΄λ³΄νμ
κ³μ μ’
μ¬νλ μ¬μ¬κ°νΈμ¬μ μ
무ν¨μ¨μ± μ¦λ λ° μμκ°νκ° μ΄λ£¨μ΄μ§μΌλ‘μ¨ νμ¬κ²½μμμ§μλ κΈμ μ μΈ μ
무결과λ₯Ό μ»μ μ μμ κ²μ΄λ€.
[μλ¬Έ]
The purpose of this study is to provide basic information about job-related stress of nurses in non-life insurance companies through the analysis of its type and degree.
The subjects of this study were 133 nurses working at 'Direct Controlling Compensation Team' of 11 domestic non-life insurance companies in Korea as in April 2001. Research materials have been collected for 16 days from April 1, 2001 to April 16, 2001. 151 sets of questionnaires were distributed and 138 sets of answered questionnaires corresponding to 91% of distributed ones were collected.
The tool for this study was developed through the procedures as follows and the degree of their job-related stress was analyzed with this tool.
ΒCreating questions through reviewing documents related to the theme of this study and telephone interviews
ΒSelecting 20 questions to measure the degree of job-related stress after survey
ΒVerifying the validity of those questions by professionals
A questionnaire had 58 questions consisting of 13 questions for general characteristics, 20 for the degree of job-related stress and 25 for conflict factors and solutions of the stress. Computerized statistical method using 'Windows SAS 6.12' was utilized for the analysis of materials. The survey results about general characteristics were expressed in frequency and percentage. And in case of the survey results having scores per question, mean and standard deviation of those scores were calculated. Also either t-test or F-test (ANOVA) considering the characteristics of variables was used to verify the difference of the degree of job-related stress in relation to general characteristics.
The results of this study were as follows.
1.With regard to the degree of job-related stress of the subjects of this study calculated and expressed in score from the relevant questions, the highest, lowest and mean scores were 4.11, 2.85 and 3.46 respectively.
2.Of the job-related stress factors of nurses in non-life insurance companies, "psychological burden on their own works" recorded the highest score of 3.65 and "conflict with their business counterparts", "conflict on their roles as professionals", "heavy workload" and "conflict in working activities" were followed with the scores of 3.64, 3.57, 3.36, and 3.15 respectively.
3.The degree of job-related stress of nurses in non-life insurance companies was statistically correlated to their working years and department of general characteristics, judging from the result of statistical verification. And conflict on their roles as professionals of the job-related stress factors was statistically correlated to their average monthly income (F=4.63, p<0.05) and working departments (F=5.80, p<0.01) of general characteristics. Besides, conflict in working activities was statistically correlated to their working departments (F=4.75, p<0.05) and conflict with business counterparts was statistically correlated to working period at medical center before joining non-life insurance company (t=2.16, p<0.05). Especially, nurses at the age of 31 to 35 and with 5 years of working experience at medical center showed the highest degree of job-related stress.
4.Different from nurses working at another business area, nurses in non-life insurance companies had their own conflicts and solutions in regard to their 5 main responsibilities such as screening propriety of medical fees, patient management, examination and judgment of patients' physical conditions, grading disablement and employee education. The major conflict related to screening medical fee was that there were no reasonable criteria in screening medical fees. And the best solution for this conflict was to make proper screening guidelines. For examination and judgment of patients' physical conditions, meeting the doctors in charge and patients was very important in examining and judging patients' physical conditions. But the hospital staffs were not so cooperative in general. Therefore, establishing appointment system for physical examination of patients and training professional staffs in charge were suggested as solutions. Regarding grading disablement, the conflict of improper grading guidelines and the solution of introduction of practical grading system were selected. In patient management, making the reports on the estimation of future development of patients' disablement and on the decision of appropriate compensation amount was the major conflict. And regular discussions with their colleagues and meetings with the doctors in charge were proposed as solutions. The conflict in employee education was to prepare education materials by themselves. The suggested solution was that education department prepared education materials with their assistance.
Judging from the above study results, psychological burden on their own works and conflict with business counterparts proved to be the major factors of the highest degree of job-related stress of nurses in non-life insurance companies. Therefore, upper level of managements of non-life insurance companies need to understand characteristics of nurses' responsibilities in detail, to pay keen attention to their business development and performance, to maintain the proper number of manpower and to provide opportunities and environment for harmonious cooperation with business counterparts.
In conclusion, the efficiency of business performance of nurses in non-life insurance companies will be enhanced by mitigating their job-related stress through the fulfillment of the solutions suggested in the above. And this will be contributed to the development and profitability of non-life insurance companies where they work.ope
μμ λΆμμ ν΅ν μμ κ²½νμ νμμ λ΄μ© κ³ μ°°
νμλ
Όλ¬Έ(μμ¬)--μμΈλνκ΅ λνμ :μμ
κ³Ό μ΄λ‘ μ 곡,1995.Maste
General Agreement on Trade in Services of the Free Trade Agreement and the Healthcare Services of South Korea and the Prospect of the System
Purpose:The purpose of this study is aimed to examine the Free Trade Agreement and its General Agreement on Trade in Services, especially, the healthcare service and the rospect of the system. Methods: This study was based on fourteen literature reviews from 2001 to 2014. Results: Free Trade Agreement and the General Agreement on Trade in Services were examined and Japan, China, and the United States's examples were shown. Healthcare market opening issues are the tendency of this era with the concept of globalization. Conclusion: This study highlights the tendency of healthcare market opening with all the pros and cons. The healthcare system along with the medical and nursing fields need to modify their system based on the globalization
(A) study on the dietary habit and prevalence of diabetes mellitus and impaired fasting glucose
μνλ°κ±΄κ°μ¦μ§νκ³Ό/μμ¬[νκΈ]
λ³Έ μ°κ΅¬λ κ΅λ―Όκ±΄κ° μμμ‘°μ¬μλ£(1998)λ₯Ό ν λλ‘ λ―Έκ΅λΉλ¨λ³νν(American Diabetes Association)μ μ§λ¨κΈ°μ€(1997)μ μν΄ λΉλ¨λ³κ³Ό 곡볡νλΉμ₯μ μ μ±λ³ μ λ³λ₯ μ μΆμ νκ³ , μ°λ¦¬λλΌ κ΅λ―Όλ€μ νμ μμ¬μ΅κ΄ λ° κ³ΌμΌμμ·¨λμ μ‘°μ¬ν¨κ³Ό λμμ, μμ¬μ΅κ΄ λ° κ³ΌμΌμμ·¨λκ³Ό λΉλ¨λ³ λ° κ³΅λ³΅νλΉμ₯μ μ μ λ³λ₯ κ³Όμ κ΄κ³λ₯Ό λΆμνκ³ μ μ€μνμλ€.
λ³Έ μ°κ΅¬λ 1998.11.1~12.30κΉμ§ μνλ κ΅λ―Όκ±΄κ° μμμ‘°μ¬ μλ£λ₯Ό μ΄μ©νμμΌλ©°, μ‘°μ¬λ μ κ΅μ λννλ 12,189κ°κ΅¬μ μ 체 κ°κ΅¬μ 39,331λͺ
μ€ κ±΄κ°κ²μ§μ μ€μν 20μΈ μ΄μμ μΈκ΅¬ 7,962λͺ
κ³Ό μνμμ·¨μ‘°μ¬λ₯Ό μ€μν 11,267λͺ
μ€ 20μΈ μ΄μμ μΈκ΅¬ 8,166λͺ
μ λμμΌλ‘ νμλ€.
λ³Έ μ°κ΅¬μμ μ»μ΄μ§ μ£Όμν κ²°κ³Όλ λ€μκ³Ό κ°λ€.
1. λΉλ¨λ³κ³Ό 곡볡νλΉμ₯μ μ λ³λ₯ μ λ¨Β·λ
λͺ¨λμμ μ°λ Ήμ΄ λ§μμλ‘ λμκ³ , λ¨μ±μ μ λ³λ₯ μ΄ μ¬μ±λ³΄λ€ λμλ€. 곡볡νλΉμ κΈ°μ€μΌλ‘ λΆμν λΉλ¨λ³ μ λ³λ₯ μ μ¬μ±μ 60-69μΈ κ΅°μ μ λ³λ₯ μ΄ 15.92%λ‘ κ°μ₯ λμκ³ , λ¨μ±μ 50-59μΈ κ΅°μμ 18.21%λ‘ κ°μ₯ λμλ€. λΉννμμλ₯Ό κΈ°μ€μΌλ‘ λΆμν λΉλ¨λ³ μ λ³λ₯ μ μ¬μ±μ 60-69μΈ κ΅°μμ 11.99%, λ¨μ±μ 50-59μΈ κ΅°μμ 11.96% μλ€. 곡볡νλΉμ₯μ μ μ λ³λ₯ μ μ¬μ±μ 70μΈ μ΄μ κ΅°μμ 19.87%λ‘ κ°μ₯ λμκ³ , λ¨μ±μ 60-69μΈ κ΅°μμ 16.53%λ‘ κ°μ₯ λμλ€.
2. μνμμ·¨ λ° μμ¬μ΅κ΄κ³Ό λΉλ¨λ³ λ° κ³΅λ³΅νλΉμ₯μ μ κ΄κ³λ₯Ό λΆμν κ²°κ³Ό, 곡볡νλΉμ κΈ°μ€μΌλ‘ ν κ²½μ° μ¬μ±μμ λΉλ₯μμ·¨λμ΄ μ¦κ°νλ©΄ λΉλ¨λ³μ μνλ₯ μ΄ κ°μνλ κ²μΌλ‘ κ²°κ³Όκ° ν΄μλμμΌλ, λμμ μ€ λΉλ¨λ³μ μ΄νλ κ²½μ°λ₯Ό μ μΈνλ©΄ ν΅κ³νμ μΌλ‘ μ μνμ§ μμλ€. λΉννμμλ₯Ό κΈ°μ€μΌλ‘ λΆμν κ²½μ° λ¨μ±μμ λΉλ¨λ³ ν¬ν¨κ΅°κ³Ό μ μΈκ΅° λͺ¨λμμ κ²°μλΌλκ° ν΅κ³νμ μΌλ‘ μ μνκ² μμκ΄μ 보μμΌλ©°, μ¬μ±μμλ λΉλ¨λ³ ν¬ν¨κ΅°μμ κ³ΌμΌ μμ·¨λμ΄ μ μνμμΌλ μ μΈκ΅°μμλ μ μνμ§ μμκ³ , κ²°μλΌλλ λΉλ¨λ³ ν¬ν¨κ΅°κ³Ό μ μΈκ΅° λͺ¨λμμ μ μν μμκ΄μ 보μλ€.
3. 곡볡νλΉμ΄ 126mg/dL μ΄μμ λΉλ¨λ³ κ΅°μΌλ‘ μ μνμμ λ μ΄μ μν₯μ λ―ΈμΉλ μμΈμ λ¨μ±μ μ°λ Ή, μ΄ μ½λ μ€ν
λ‘€, μ€μ±μ§λ°©, κ³ νμ, ν리·μλ©μ΄ λλ λΉ(WHR) μ΄μμΌλ©°, μ¬μ±μ μ°λ Ή, μ€μ±μ§λ°©, κ³ νμμ΄μλ€. λΉννμμκ° 6%λ₯Ό μ΄κ³Όν κ΅°μ λΉλ¨κ΅°μΌλ‘ μ μνμμ λ μ΄μ μν₯μ λ―ΈμΉλ μμΈμ λ¨μ±μ μ°λ Ή, LDL μ½λ μ€ν
λ‘€, μ€μ±μ§λ°©, ν리·μλ©μ΄ λλ λΉ(WHR) μ΄μκ³ , μ¬μ±μ μ°λ Ή, κ΅μ‘μμ€, μ΄ μ½λ μ€ν
λ‘€, μ€μ±μ§λ°©, κ³ νμ, ν리λλ , ν리∙μλ©μ΄ λλ λΉ(WHR) μλ€. 곡볡νλΉμ₯μ μ μν₯μ λ―ΈμΉλ μμΈμ λ¨μ±μ μ°λ Ή, μ€μ±μ§λ°©, ν리·μλ©μ΄ λλ λΉ(WHR), μ 체μ§λμ§μ(BMI) μ΄μκ³ , μ¬μ±μ μ°λ Ή, μ€μ±μ§λ°© μ΄μλ€.
λ³Έ μ°κ΅¬μμ λ¨λ©΄μ μ°κ΅¬μ€κ³μ μ νμ μΌλ‘ μμ¬μ΅κ΄μ λΉλ¨λ³ λ° κ³΅λ³΅νλΉμ₯μ μμ ν΅κ³μ μ μμ±μ λ°νμ§ λͺ»νμμΌλ, μ΅κ·Ό λ€μ΄ λΉλ¨λ³ μ λ³λ₯ μ μ¦κ°μ ν¨κ» κ²°μμ΄λ κ³Όμμ νλ κ²½ν₯μ΄ λ§κ³ κ³ΌμΌμ μμ·¨λμ΄ κΈκ²©ν μ¦κ°νκ³ μμΌλ―λ‘, μ ν₯μ μ½νΈνΈ μ°κ΅¬μ κΈ°λ°νμ¬ μ²΄κ³μ μ΄κ³ μ§μμ μΈ μ°κ΅¬κ° μ΄λ£¨μ΄μ ΈμΌ ν κ²μΌλ‘ μκ°νλ€.
[μλ¬Έ]This study was conducted to estimate the prevalence of Diabetes Mellitus(DM) and Impaired Fasting Glucose(IFG), and to examine the determinants focused on dietary habits and fruit intakes of these prevalence. We used data from the Korean National Health and Nutrition Examination Survey in 1998.
Of 39,331 entire family members from 12,189 families representing the nation in the 1998 Korean National Health and Nutrition Examination Survey which was carried out November the 1st to December the 30th, 1998. A total number of 7,962 people who were over 20 years of age and checking the health examination and 8,166 people who were 20 years of age and investigated food intake survey were analyzed in this study.
The results are as follows.
1. Prevalence of DM and IFG was high in old age for both men and women, and higher in men than in women. The highest prevalence rate of DM based on fasting plasma glucose(defined by FPGβ₯126mg
dL) was 15.92% for women in the age of 60~69, and 18.21% for men in the age of 50~59. When based on Hemoglobin A1c, the prevalence of DM(defined by HbA1c>6%) was 11.99% for women in the age of 60~69, and 11.96% for men in the age of 50~59. The highest prevalence of IFG was 19.87% for women in the age over 70, and 16.53% for men in the age of 60~69.
2. As to the relation between the prevalence of DM based on fasting plasma glucose and IFG and dietary habit and fruit intake, prevalence of DM in the women decreased significantly when their glucose intake increased, but significance was disappeared when observations with morbidity of DM were excluded. When based on hemoglobin Alc, skip-eating was inversely associated with the prevalence of DM in men and women when including and excluding the observations with morbidity of DM. For women, fruit intake was inversely significant but not significant in the case of excluding the observations with morbidity of DM.
3. The prevalence of DM based on FPG was related to age, total cholesterol, triglyceride, hypertension, waist to hip ratio(WHR) for men, and age, triglyceride, and hypertension for women. Based on hemoglobin A1c, the prevelance of DM was related to age, LDL-cholesterol, triglyceride, and WHR for men, and age, educational background, total cholesterol, triglyceride, hypertension, waist circumference, and WHR for women. Factors related to IFG were age, triglyceride, WHR, Body Mass Index(BMI) for men, and age and triglyceride for women.
This study didnβt make statistical relation about dietary habit of DM and IFG. It was due to the limit of cross-sectional study. Prospective cohort study, however, is clearly needed, because the frequency of skip-eating or overeating is escalating and fruit intake along with the prevalence is rapidly increasing in our country.ope
The Study on the Revitalization of National Records Designation System
νμλ
Όλ¬Έ(μμ¬) --μμΈλνκ΅ λνμ :νλκ³Όμ κΈ°λ‘κ΄λ¦¬νμ 곡,2007.Maste
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