9 research outputs found
The Relation of Physical Activity by the IPAQ to Health-related Quality of Life - Korea National Health and Nutrition Examination Survey (KNHANES) β £ 2007-2008
Objectives: This study aimed to assess the association between physical activity and health-related quality of life (HRQOL) in Koreans. Methods: A total of 9,689 adults(β₯19 years, 4,036 men) from the Fourth National Health and Nutrition Examination Survey(2007-2008) were examined by the International Physical Activity Questionnaraire (IPAQ)-short form and Korean EuroQol-5 Dimension(KEQ-5D). Results: For the physical activity by IPAQ, βInactive groupβ was 75.3%, βMinimally active groupβ was 23.5%, and βHealth-Enhancing Physical Activity(HEPA) groupβ was 1.2%. The mean HRQOL index was 0.89Β±0.13. These relations of physical activity and HRQOL remained significant after adjustment for age, sex, smoking, subjective health status, stress, depression, and socioeconomic status variables (Adjusted RΒ² = 0.334). Conclusions: Physical activity was associated with health-related quality of life. Physically active group had higher health-related quality of life than the inactive groupope
Current Status of Health and Welfare Long-Term Plans in Korea
Korea is undergoing a rapid environmental change in health and welfare. Therefore, the law mandates the establishment and implementation of plans in accordance with the changes. A total of 49 long-term plans related to health and welfare were specified by the National Law Information Center, the Korean representative legal information website managed by the Korea Ministry of Government Legislation. Of the 49 long-term plans, 10 plans (20.4%) were not yet fully constructed. Eight out of 10 non-constructive plans have been put into force for more than a year, but these plans still require further systematic planning and development. The complete construction of long-term plans is substantial to account for the changes in South Korean health and welfare. In addition, a systematic plan with solidarity and continuity between the mutual plans should be established in planning.ope
The relation of physical activity by the IPAQ to health-related quality of life
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립λ³μλ‘, 건κ°κ΄λ ¨ μΆμ μ§μ μ’
μλ³μλ‘ νμ¬ λΉλλΆμ λ° κ΅μ°¨λΆμμ ν΅ν΄ κ° λ³μκ°μ 건κ°κ΄λ ¨ μΆμ μ§ μ°¨μ΄λ₯Ό λΉκ΅νμμΌλ©°, λ‘μ§μ€ν± νκ·λΆμκ³Ό μκ³μ λ€μ€μ ννκ·λΆμμ μ΄μ©νμ¬ κ±΄κ°κ΄λ ¨ μΆμ μ§μ μν₯μ λ―ΈμΉλ λ³μλ₯Ό λΆμνμλ€. ν΅κ³μ²λ¦¬λ SPSS 12.0 for Windowsλ₯Ό μ΄μ©νμμΌλ©° μ μμμ€μ 0.05λ‘ νμλ€. μ°κ΅¬κ²°κ³Όλ λ€μκ³Ό κ°μλ€. κ΅μ μ 체νλμ€λ¬Έλꡬμ μν΄ λΆλ₯λ μ 체νλλλ λΉνλ κ·Έλ£Ή 75.3%, μ΅μνμ νλ κ·Έλ£Ή 23.5%, 건κ°μ¦μ§ν νλ κ·Έλ£Ή 1.2%μ΄κ³ , μ 체νλμ METμΌλ‘ νμ°ν κ²°κ³Ό 354.68Β±588.255 MET(min/week)μΌλ‘ λνλ¬λ€. μ°κ΅¬λμμμ 건κ°κ΄λ ¨ μΆμ μ§μ μ±λ³, μ°λ Ή, κ²°νΌμν, κ΅μ‘μμ€, μ£Όνμμ μ¬λΆ, κ°κ΅¬μλ, μ§μ
, μμ£Ό, νμ¬ ν‘μ°μ¬λΆ, μ 체νλλ, μ£Όκ΄μ 건κ°μν, μ€νΈλ μ€ μΈμ§, μ°μΈμ¦μ κ²½νμ λ°λΌ μ μν μ°¨μ΄κ° μμλ€. μ 체νλλλ 건κ°κ΄λ ¨ μΆμ μ§κ³Ό ν΅κ³μ μΌλ‘ μ μν κ΄λ ¨μ±μ΄ μμμΌλ©°, 건κ°κ΄λ ¨ μΆμ μ§κ³Ό κ΄λ ¨λ μ¬λ¬ μμΈλ€μ 보μ ν ν μ 체νλμ νλ κ·Έλ£Ήμ΄ κ·Έλ μ§ μμ κ·Έλ£Ήμ λΉν΄ 건κ°κ΄λ ¨ μΆμ μ§μ΄ λκ² λνλ¬λ€. ν₯ν 건κ°κ΄λ ¨ μΆμ μ§μ ν₯μμν€κΈ° μν΄μλ, κ΅κ° μμ€μ 보건볡μ§μ μ±
μ립μ΄λ μ§μμ¬ν μμ€μ 건κ°μ¦μ§ νλ‘κ·Έλ¨μ μνν λμ μ΄μ μν₯μ λ―ΈμΉλ μ 체νλλλ₯Ό μ κ·Ήμ μΌλ‘ κ³ λ €ν΄μΌ ν κ²μΌλ‘ μ¬λ£λλ€.
[μλ¬Έ]ope
Oral Health Status and Behavior Factors Associated with Self-Rated Health Status among the Elderly in South Korea: The 7th Korea National Health and Nutrition Examination Survey (2016β2018)
Background: It is getting important to improve the oral health status of the elderly because oral health status may affect their healthstatus of the whole body. In this respect, we aimed to explore the association of oral health status and behavior factors withself-rated health status by sex. Methods: Using the data from the 7th Korea National Health and Nutrition Examination Survey for health surveys and oralexaminations (2016β2018), we analyzed a total of 3,070 people aged 65 or older (men: 1,329; women: 1,741). Our dependentvariable, self-rated health status, was divided into two groups: not good (bad and very bad) and good (very good, good, and fair),whereas our independent variables of interest were oral health status and behavior factors. In addition to descriptive analysis and theRao-Scott chi-square test, reflecting survey characteristics, we conducted hierarchical multivariable logistic regression analysesadjusted for socio-demographics and health status and behavior factors. All analyses were stratified by sex. Results: The proportion of people having βnot goodβ self-rated health was 36.5% in women but 24.5% in men. In a model adjusted forall covariates, the self-rated health status showed significant association with the self-rated oral health status. For example, in men,the risk of having βnot goodβ self-rated health was high in people having βpoorβ (odds ratio [OR], 5.31; 95% confidence interval [CI],2.34β12.03) self-rated oral health status and in those having βfairβ (OR, 4.03; 95% CI, 1.68β9.70) in comparison with those havingβgoodβ self-rated oral health status. Dental status regarding speaking difficulty seemed to be very important in influencing self-ratedhealth status. For instance, in women, compared to people having βno discomfortβ speaking difficulty, the risk of having βnot goodβself-rated health was high in people having βnot badβ (OR, 1.60; 95% CI, 1.14β2.24) and βdiscomfortβ (OR, 1.79; 95% CI, 1.30β2.47)speaking difficulty. The covariates significantly associated with the risk of having βnot goodβ self-rated health were: physical activity,chronic disease, stress, and body mass index in both sexes; health insurance type and drinking only in men; and economic activityonly in women. Conclusion: Oral health status and behavioral factors were associated with self-rated health status among the elderly, differently bysex. This suggests that public health policies toward better health in the elderly should take their oral health status and oral healthbehaviors into account in a sex-specific way.ope
μ λΆμμν μ΄μκ³Ό μ μ± μ±κ³Όμ κ΄ν μ°κ΅¬
νμλ
Όλ¬Έ (λ°μ¬)-- μμΈλνκ΅ νμ λνμ νμ νκ³Ό, 2017. 8. μ΄μμ.λ³Έ μ°κ΅¬λ νμ λ° μλ¬Έμμνλ₯Ό ν¬ν¨ν μ λΆμμνμ μ΄μ νν©μ λνμ¬ λΆμνκ³ , μ λΆμμν μ΄μκ³Ό μ μ±
μ±κ³Ό κ° κ΄κ³λ₯Ό μ΄ν΄λ³΄μλ€.
μ λΆμμνλ μ λ΅μ μ νμ΄λ‘ κ³Ό λ΄κ±°λ²λμ€ μ΄λ‘ μ μνμ¬ κ·Έ μ€μΉ νλΉμ±μ μΈμ ν μ μλ€. μ λΆκ° ν΄κ²°ν΄μΌ νλ λ¬Έμ μ 볡μ‘μ±μ΄ μ¦κ°νκ³ μμμλ κ·Έ λ¬Έμ λ₯Ό ν΄κ²°ν΄μΌ νλ κ΄λ£μ μ λ¬Έμ±μ΄ λ€λ¨μ΄μ§λ€λ μΈμκ³Ό, μ μ±
κ³Όμ μ λνμ±κ³Ό λ―Όμ£Όμ±μ΄ κ°νλ μ μλλ‘ μ°Έμ¬λ₯Ό κ°νν΄μΌ νλ€λ λ
Όλ¦¬λ μμνλ₯Ό ν΅ν μΈλΆ μ λ¬Έκ° λ° μ΄ν΄κ΄κ³μ λ±μ μ μ±
μ°Έμ¬λ₯Ό μ λΉννλ κ·Όκ±°κ° λμλ€.
μ΄λ¬ν νμμ±μλ λΆκ΅¬νκ³ μ λΆμμνλ νμ€μ μΌλ‘ λ§μ λΉνμ μ§λ©΄ν΄ μλ€. μμν λ¨μ€ λ° λΆμ μ ν μ΄μ, κ·Έλ¦¬κ³ μμ ꡬμ±μ λΆκ³΅μ μ±μ λνμ¬ λΉνμ΄ μλ μν©μ΄λ€. μ΄λ¬ν λΉνμ λ΄μ©μ μμ©νκ³ , μμνμ ν¨κ³Όμ μ΄μμ μνμ¬, μ΄κ΄ λΆμ²λ μ λΆμμνμ μλ₯Ό μ§κΆμ μΌλ‘ κ΄λ¦¬νλ λ°©μμ μ립νμ¬ μλ€. κ·Έλ¬λ μ΄λ¬ν λμμλ λΆκ΅¬νκ³ μ λΆμμνλ μ¦κ°μΆμΈμ μμΌλ©°, κ·Έ μν λ° μ€μμ± λν μ¦κ°νκ³ μλ μν©μ΄λ€. κ·Έ μ΄μ λ₯Ό μ λΆμμνμ μ¦κ° μ λ μμΈκ³Ό μ λΆμμνμ μΆμ μ΅μ μμΈμ΄ μλνκ³ μκΈ° λλ¬ΈμΌλ‘ λ³Ό μ μλ€. λ¨Όμ μ¦κ° μ λ° μμΈμ μ λΆ μ
λ¬΄κ° μ¦κ°νλ©΄μ μ λΆ μΈλΆμ μμμ μ·¨ν νμκ° μμΌλ©°, νΉν μ§μμ΄λ μ μ±
μ λν μ§μ§λ₯Ό μμνλ₯Ό ν΅ν΄ ν보ν νμκ° μλ€λ μ , κ·Έλ¦¬κ³ μ λΆμ μ μ±
μ립 κΈ°λ₯μ΄ κ°νλ¨μ λ°λΌ μ μ±
μ 보μνκ±°λ μ λΉνν μ μλ μμνμ μν μ΄ μ¦κ°νκ³ μλ€λ μ λ κ°μ§λ‘ μ€λͺ
ν μ μμ κ²μ΄λ€. λ€μμΌλ‘ μ λΆμμν μΆμλ₯Ό μ΅μ νλ μμΈ μμ λ κ°μ§ μΈ‘λ©΄μμ μ΄ν΄λ³΄κ³ μλλ° λ¨Όμ , λ²λ₯ μ κ·Όκ±°ν μ λΆμμνκ° μ¦κ°ν¨μ λ°λΌ μμνμ μν μ΄ λ£¨ν΄ν, κ³ μ°©ν λ μ μμΌλ©°, μμν νμ§λ₯Ό μν΄ λ²λ₯ κ°μ μ΄ νμνλ€λ μ μ μ λΆμμνμ μΆμλ₯Ό μ΄λ ΅κ² νλ μμΈμ΄ λ μ μμ κ²μ΄λ€. κ·Έλ¦¬κ³ λ²μΉνμ νΉμ νμ μ νμν νμμΌλ‘ μΈνμ¬ νμ μ μ μ°¨μ μΈ‘λ©΄μ΄ κ°μ‘°λκ³ μκΈ° λλ¬Έμ λ²μ κ³ν λ±μ μ¬μ λ° νμ 기ꡬλ‘μ¨ μμνμ μν μμ λ²μ ν λλ κ²½ν₯μ΄ μ¬νλκ³ μλ€λ μ μ μμνμ μΆμλ₯Ό μ΅μ νλ μμΈμ΄ λ μ μλ κ²μ΄λ€.
λ€μμΌλ‘ μ λΆμμνμ μν μ λνμ¬ λ¨μν μ μ±
μ μ λΉννλ λꡬμ 머무λ₯΄λ κ²μ΄ μλκ° νλ λΉνμ΄ μλ€. μ΄μ λνμ¬ μ λΆμμνκ° λ€λ£¨λ μ
무μ λ΄μ©μ μ΄μ΅μ κ΄ν κ²κ³Ό μ μ±
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μ λ€λ£¨λ©΄μ λ―Όκ°μμμ΄ λ λ§μ΄ μ°Έμ¬νλ κ²½μ° λ―Όμ£Όν μμν, μ μ±
μ λ€λ£¨λ©΄μ μ λΆμμμ΄ λ λ§μ΄ μ°Έμ¬νλ κ²½μ° μμ§ν μμν, μ΄μ΅μ λ€λ£¨λ©΄μ λ―Όκ°μμ μ€μ¬μΌλ‘ ꡬμ±νλ κ²½μ° μ λ¬Έμ§μν μμν, μ΄μ΅μ λ€λ£¨λ©΄μ μ λΆμμμ΄ λ λ§μ΄ μ°Έμ¬νλ κ²½μ° μ λΉνν μμνλ‘ κ΅¬λΆνμμΌλ©°, κ°κ°μ μμνλ κ·Έ μν κ³Ό λ΄λΉ μ
무μ λ΄μ©μ΄ λ¬λΌμ§ μ μλ€λ μ μ 보μ¬μ£Όμλ€.
μ΄λ¬ν μ λΆμμνμ λΉνμ μΈ μ£Όμ₯λ€μ μ΄ν΄λ΄μΌλ‘μ¨ μ λΆμμνμ μ€μΉ νμμ±κ³Ό μ€μΉ μ λΉμ± λ±μ λν λ
Όμλ₯Ό μ κ°νμλ€. μ λ΅μ μ νμ΄λ‘ μ μ μ©νμ¬ μ λΆμμν μ΄μκ³Ό μ μ±
μ±κ³Ό κ° κ΄κ³μ λνμ¬ μ΄ν΄λ³΄μλλ°, μ¬μ μ¬μ
μμ¨νκ° λ°μ΄ν°λ₯Ό μ΄μ©νμ¬ μ¬μ μ¬μ
μ€ μμνκ° μ§, κ°μ μ μΌλ‘ κ΄λ ¨μ΄ μλ μ¬μ
μ λμμΌλ‘ μμνμ νΉμ±λ³μμ μ¬μ μ¬μ
μ κ΄κ³λ₯Ό λΆμνμλ€. μμν μ€μΉ λ° μ΄μμ μμ΄ μ λ΅μ μ νμ΄λ‘ μ μ μ©ν μ΄μ λ μμνμ κΈ°λ₯κ³Ό μν μ΄ μ»€μ§λ©΄μ κΈ°κ΄μ₯μκ² μΌμ’
μ μ μ½ μμΈμ΄ λκ³ μλ μν©μ μ€λͺ
νκΈ° μν κ²μ΄μλ€. κΈ°κ΄μ₯μ μμν μ€μΉ μ΄μμ λν λ²μ μ μ½μ΄ λ§€μ° μ»€μ§κ³ , μμνκ° μ μ°¨μ μ λΉμ±μ μ μ μκ±΄μ΄ λλ κ²½μ°κ° λ§μμ§λ©΄μ κΈ°κ΄μ₯μ΄ μμνλ₯Ό μ΄λ»κ² μ΄μν΄μΌ ν κ²μΈκ°μ λν κ³ λ―Όμ΄ μ»€μ§κ³ μλ€κ³ λ³Ό μ μλ κ²μ΄λ€. λ°λΌμ νΉμ λ§₯λ½μμ μ€κΆμμ μ νμ μ€μμνλ μ λ΅μ μ νμ΄λ‘ μ ν΅ν μ€λͺ
μ΄ κ°λ₯ν κ²μΌλ‘ νλ¨ν κ²μ΄λ€. μ¦, μμ¬κ²°μ κΆμμ λνμ¬ μμνλ₯Ό ν¨κ³Όμ μΌλ‘ μ΄μνλλ‘ νλ λ
Όλ¦¬λ₯Ό μ 곡νλ μ μμ κ·Έ ν¨μ©μ±μ νμΈνμλ€ ν κ²μ΄λ€.
μμν νΉμ± λ³μλ Child(1972)κ° μ μν μ λ΅μ μ νμ΄λ‘ μ λ€ κ°μ§ μΈ‘λ©΄, μ‘°μ§ κ·λͺ¨, κΈ°μ , μ‘°μ§κ΅¬μ‘°, μΈμ μμμ μΈ‘λ©΄μμ μ λΆμμν μ΄μ λ³μλ₯Ό μΆμΆνμλ€. μ‘°μ§ κ·λͺ¨λ μμ μ μ, κΈ°μ μ μμ λμΆν μ λΆμμν μ ν, μ‘°μ§ κ΅¬μ‘°λ μμμ₯μ μ λΆ, μΈμ μμμ μ‘°μ§νλ μ΄ν΄κ΄κ³μμ μ°Έμ¬ μ¬λΆλ‘ μΈ‘μ νμλ€. λΆμκ²°κ³Ό μ λΆμμνμ νΉμ± λ³μ μ€ κΈ°μ μ μμΈμΈ μμν μ ν λ³μκ° λ―Όμ£Όν μμνμ κ²½μ° μμ§ν μμνμ λΉνμ¬ κ³νμ±κ³Όκ° λ λμ κ²μΌλ‘ λνλ¬μΌλ©°, νκ°μ±κ³Όμμλ λ―Όμ£Όν μμνκ° μμ§ν μμνμ μ λ¬Έμ§μν μμνμ λΉνμ¬ λ λμ κ²μΌλ‘ λνλ¬μΌλ©°, μ’
ν©μ±κ³Ό μμ λ―Όμ£Όν μμνκ° μμ§ν μμνμ μ λ¬Έμ§μν μμνμ λΉνμ¬ λ λμ κ²μΌλ‘ λνλ¬λ€. μ΄λ¬ν λΆμ κ²°κ³Ό μ λΆμμνλ μ μ±
μ λμμΌλ‘ νλ κ²½μ° μ λΆμμ μ΄μΈμ λ―Όκ°μμμ μ°Έμ¬λ₯Ό κ°ννλ λ°©μμ΄ νμνλ€λ μμ¬μ μ λμΆν μ μμ κ²μ΄λ€. λ€λ§, μ΄μΈμ κΈ°μ‘΄μ μ λ΅μ μ νμ΄λ‘ μμ μ μνκ³ μλ μ‘°μ§ κ΅¬μ‘°μ λ³μλ€μ μ€λͺ
λ ₯μ κ·Έλ€μ§ λμ§ μμ κ²μΌλ‘ νλ¨λμ΄ μΈλΆ λ³μ ꡬμ±μ λν μΆκ°μ μΈ λ
Όμκ° νμν κ²μΌλ‘ 보μΈλ€.μ 1 μ₯ μ λ‘ 1
μ 1 μ μ°κ΅¬μ λ°°κ²½ 1
μ 2 μ μ°κ΅¬λ¬Έμ 9
μ 3 μ μ°κ΅¬μ λ²μ λ° λ°μ΄ν° 10
μ 4 μ λ
Όλ¬Έμ κ΅¬μ± 12
μ 2 μ₯ μ΄λ‘ μ λ
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μ 1 μ μ λΆμμνμ λμ κ΄ν μ΄λ‘ μ λ
Όμ 13
1. μ λΆμμνμ κ°λ
13
2. μμνμ λμ μ₯λ¨μ μ κ΄ν μ°κ΅¬ 13
3. μ λΆμμνμ λ λμ
λ°°κ²½ : κ΄λ£μ νκ³μ λν λμμ‘°μ§ κ΅¬μ‘° 17
4. μ λΆμμν μ΄μ λ° μ±κ³Όμ κ΄ν μ°κ΅¬ 18
μ 2 μ μ λΆμ±κ³Όμ κ΄ν μ΄λ‘ μ λ
Όμ 23
1. μ±κ³Ό λ° μ±κ³ΌμΈ‘μ μ μμ 23
2. 곡곡쑰μ§μ μ±κ³ΌμΈ‘μ μ κ΄ν μ°κ΅¬ 25
3. μ μ±
μ±κ³Όμ μ‘°μ§μ±κ³Όμ κ΄κ³μ κ΄ν μ°κ΅¬ 32
μ 3 μ μ λΆμ±κ³Ό μν₯μμΈμ κ΄ν μ΄λ‘ μ λ
Όμ 33
1. μ λ΅μ μ νμ΄λ‘ 33
2. μμμμ‘΄μ΄λ‘ 38
μ 3 μ₯ μ λΆμμν μ΄μμ λν νμμ μ°κ΅¬ 40
μ 1 μ νκ΅μ μ λΆμμνμ λ 42
1. λ²μ κ·Όκ±° λ° κ·Όκ±°κ·μ μ λ³μ² 42
2. μ λΆμμν μ ν : νμ μμνμ μλ¬Έμμν 48
3. μ κΆλ³ μ λΆμμν μ€μΉ λ° κ΄λ¦¬ λ΄μ©κ³Ό κ°νλ°©μ 52
μ 2 μ μ λΆμμν μ¦κ°νμμ μμΈ λΆμ 65
1. μ λΆμμν μ¦κ° κ²½ν₯ 65
2. μ λΆμμν μ¦κ° μμΈμ λν λΆμ 67
3. μ λΆμμν μ¦κ° μμΈ λΆμ κ²°κ³Ό 84
μ 3 μ μ λΆμμν μ€μΉ λͺ©μ λΆμ λ° μ νκ΅¬λΆ 90
1. μ λΆμμν μ νꡬλΆμ λν μ΄λ‘ μ κ²ν 91
2. μ€μ λ²μ μ νκ΅¬λΆ : νμ μμνμ μλ¬Έμμν 98
3. μ λΆμμν μ νκ΅¬λΆ : μ€μΉ λͺ©μ κΈ°μ€ 102
μ 4 μ μ λΆμμν ꡬμ±κ³Ό μ΄μ λΆμ 115
1. μμ κ΅¬μ± 115
2. μμν μ΄μ 125
μ 5 μ μ λΆμμν κ΄λ ¨ λ³μ λμΆ : νμμ μ°κ΅¬ κ²°κ³Όμ λν μ λ΅μ μ νμ΄λ‘ μ μ© 133
1. μ λ΅μ μ νμΌλ‘μ μ λΆμμνμ μμ 133
2. μ λ΅μ μ νμ΄λ‘ μ μ©μΌλ‘ μ λΆμμν λ³μ λμΆ 137
μ 4 μ₯ μ λΆμμν μ΄μμ μ μ±
μ±κ³Όμ λν μν₯λ ₯ λΆμ 140
μ 1 μ μ λΆμμν μν κ°νμ μ μ±
μ±κ³Ό κ° κ΄κ³μ λν λ
Όμ 140
1. λ΄κ±°λ²λμ€(New Governance)μ΄λ‘ κ³Ό μ λΆμμνμ μν κ°ν 140
2. λ―Όμ£Όλ²μΉνμ κ³Ό μ λΆμμνμ μν κ°ν 141
3. μ λΆμμν μ΄μκ³Ό μ¬μ μ¬μ
μμ¨νκ° κ²°κ³Ό νμ© 149
4. μ λ΅μ μ νμ΄λ‘ κ³Ό μ¬μ μ¬μ
μμ¨νκ°λ₯Ό λ°μν μ€λͺ
λ³μ λμΆ 157
μ 2 μ κ°μ€μ립 163
1. μ‘°μ§κ·λͺ¨ 164
2. μ΄μ κΈ°μ : μμν μ ν 165
3. μ‘°μ§ κ΅¬μ‘° : μμμ₯ μ λΆ 166
3. μ‘°μ§ κ΅¬μ‘° λ° μΈμ μμ : μ‘°μ§νλ μ΄ν΄κ΄κ³μ 169
μ 3 μ μ°κ΅¬ μ€κ³ 173
1. λ°μ΄ν° 173
2. λΆμ λ°©λ² 174
3. λ³μμ μ‘°μμ μ μ 174
μ 4 μ λΆ μ 183
1. κΈ°μ΄ν΅κ³λ λΆμ 183
2. νκ·λΆμ κ²°κ³Ό 185
3. ν λ‘ 189
μ 5 μ₯ κ²° λ‘ 191
μ 1 μ μ°κ΅¬μ λ°κ²¬ λ° νλ¬Έμ κΈ°μ¬ 191
1. μ°κ΅¬μ λ°κ²¬ 191
2. μ°κ΅¬μ κΈ°μ¬ 192
μ 2 μ μ°κ΅¬μ νκ³ λ° ν₯ν μ°κ΅¬ κ³Όμ 195
1. μ°κ΅¬μ νκ³ 195
2. ν₯ν μ°κ΅¬ κ³Όμ 197
μ°Έκ³ λ¬Έν 224
Abstract 237Docto
μ λ¬Έλνμμ νκ΅λ§μ‘±λ μΈ‘μ λꡬ κ°λ°
νμλ
Όλ¬Έ (λ°μ¬)-- μμΈλνκ΅ λνμ : λμ°μ
κ΅μ‘κ³Ό, 2014. 2. μ μ² μ.μ΄ μ°κ΅¬μ λͺ©μ μ μ λ¬Έλνμμ νκ΅λ§μ‘±λ μΈ‘μ λꡬλ₯Ό κ°λ°νλλ° μμλ€. μ λ¬Έλνμμ νκ΅λ§μ‘±λ μΈ‘μ λꡬ κ°λ°μ μν΄ κ΅¬μ±μμΈ μ€μ , λ¬Ένκ°λ°, νλΉλ λ° μ λ’°λ κ²μ¦, κ·μ€ κ°λ° λ±μ λ€ κ°μ§ λ¨κ³μ λ°λΌ μ°κ΅¬λ₯Ό μ€μνμλ€. ꡬμ±μμΈ μ€μ λ¨κ³μμλ μ νμ°κ΅¬ κ³ μ°°μ ν λλ‘ μ λ¬Έλνμμ νκ΅λ§μ‘±λμ ꡬμΈν λͺ¨νμ μ μ μ μΌλ‘ μ€μ νκ³ , λΈνμ΄ κΈ°λ²μ νμ©νμ¬ νλΉλλ₯Ό κ²μ¦νκ³ κ΅¬μΈν λͺ¨νμ μμ λ° λ³΄μνμλ€. κ·Έ κ²°κ³Ό μ΅μ’
μ μΌλ‘ μ λ¬Έλνμμ νκ΅λ§μ‘±λ μμμ κ΅μ‘ μ§μ, μ§λ‘ λ° μ·¨μ
μ§μ, νμ μ§μ, 물리μ νκ²½ μ§μμΌλ‘ ꡬλΆνκ³ , κ΅μ‘ μ§μ μμμλ κ΅μ‘κ³Όμ , μμ
, κ΅μμ 3κ° νμμμμ, μ§λ‘ λ° μ·¨μ
μ§μ μμμλ μ§λ‘ νλ‘κ·Έλ¨ λ° μ§λ‘ μλ΄, μ·¨μ
νλ‘κ·Έλ¨ λ° μ·¨μ
μ 보μ 2κ° νμμμμ, νμ μ§μ μμμλ νμ¬νμ , μ§μ λ° μ‘°κ΅μ 2κ° νμμμμ, 물리μ νκ²½ μμμλ κ΅μ‘ μμ€ λ° κΈ°μμ¬, μΊ νΌμ€ νκ²½μ 2κ° νμμμμ μ€μ νμλ€. λ¬Ένκ°λ° λ¨κ³μμλ μ λ¬Έλνμμ νκ΅λ§μ‘±λμ νμμμμ λν κ°λ
μ μμ κ΄λ ¨ μ νμ°κ΅¬ κ²°κ³Όλ₯Ό ν λλ‘ 55κ° λ¬Ένμ κ°λ°νμμΌλ©°, 1μ°¨μ μΌλ‘ μ λ¬Έκ° κ²ν λ₯Ό ν΅νμ¬ 54κ° λ¬Ένμ΄ κ°λ°λμμΌλ©°, 2μ°¨ λ΄μ©νλΉλ κ²μ¦μ ν΅νμ¬ λ¬Ένμ μμ λλ μ κ±°νμ¬ 51κ° λ¬Ένμ΄ μλΉμ‘°μ¬ λκ΅¬λ‘ κ°λ°λμλ€. νλΉλ λ° μ λ’°λ κ²μ¦ λ¨κ³μμλ μλΉμ‘°μ¬μ λ³Έμ‘°μ¬λ₯Ό μ€μνμ¬ μΈ‘μ λꡬμ νλΉλμ μ λ’°λλ₯Ό κ²μ¦νμλ€. λ¨Όμ μλΉμ‘°μ¬μμλ μ λ¬Έλνμ 480λͺ
μ λμμΌλ‘ μλ£λ₯Ό μμ§νμ¬ λ¬ΈνλΆμ, μ λ’°λ λΆμ, μμΈλΆμμ μ€μνμμΌλ©°, μ΄λ₯Ό ν΅ν΄ μ΄ 45κ° λ¬ΈνμΌλ‘ ꡬμ±λ λ³Έμ‘°μ¬μ© μΈ‘μ λꡬλ₯Ό νμ νμλ€. λ³Έμ‘°μ¬μμλ μ λ¬Έλνμ 23,520λͺ
μ λμμΌλ‘ μλ£λ₯Ό μμ§νμλ€. μ λ¬Έλνμμ νκ΅λ§μ‘±λ μΈ‘μ λꡬμ μ λ’°λμ νλΉλλ₯Ό κ²μ¦νκΈ° μνμ¬ λ¬Ένλ΄μ μΌμΉλ κ³μλ₯Ό μ°μΆνμκ³ , νμμ Β·νμΈμ μμΈλΆμμ μ€μνμλ€. κ·μ€ κ°λ° λ¨κ³μμλ μΈ‘μ κ²°κ³Όμ ν΄μμ λ³΄λ€ μ©μ΄νκ² νκΈ° μνμ¬ μ§λ¨λ³ κ·μ€μ μ μνμλ€. μ΄λ₯Ό μν΄ λ¨Όμ μ§λ¨ κ° μ°¨μ΄ κ²μ¦μ μ€μνμμΌλ©°, κ·Έ κ²°κ³Όλ₯Ό ν λλ‘ μ±λ³(λ¨μ±, μ¬μ±), νλ
λ³(1νλ
, 2νλ
, 3νλ
), κ³μ΄λ³(μΈλ¬Έμ¬νκ³μ΄, μμ°κ³Όνκ³μ΄, 곡νκ³μ΄, μ체λ₯κ³μ΄), μ§μλ³(λλμ, μ€μλμ) κ·μ€μ μμ±νμμΌλ©°, μ΄λ κ·μ€μ μλ‘λ λ°±λΆμ μ μμ νμ€μ μ(Tμ μ)λ₯Ό νμ©νμλ€.
λ³Έμ‘°μ¬ μ€μ κ²°κ³Όλ₯Ό ν λλ‘ μ΄ μ°κ΅¬μμ μ»μ΄μ§ ꡬ체μ μΈ κ²°κ³Όλ₯Ό μ μνλ©΄ λ€μκ³Ό κ°λ€. λ¬Ένλ΄μ μΌμΉλ κ³μ μ°μΆμ ν΅ν΄ μ΄λ£¨μ΄μ§ μ λ’°λ λΆμμ Ξ±κ°μ΄ κ΅μ‘ μ§μ μμμ .957, μ§λ‘ λ° μ·¨μ
μ§μ μμμ .960, νμ μ§μ μμμ .936, 물리μ νκ²½ μ§μ μμμ .925λ‘ λνλ¬μΌλ©°, μΈ‘μ λꡬμ μ 체 μ λ’°λλ .976μΌλ‘ λ¬Ένμ λμ§μ±μ΄ μλΉν λμ κ²μΌλ‘ λνλ¬λ€. λ€μμΌλ‘ νμμ μμΈλΆμμ ν΅νμ¬ κ΅μ‘κ³Όμ , μμ
, κ΅μ, μ§λ‘ νλ‘κ·Έλ¨, μ§λ‘ μλ΄, μ·¨μ
νλ‘κ·Έλ¨ λ° μ·¨μ
μ 보, νμ¬νμ , μ§μ λ° μ‘°κ΅, κ΅μ‘ μμ€ λ° κΈ°μμ¬, μΊ νΌμ€ νκ²½μ 9κ°μ§ νμμμμ΄ μλ‘ λ€λ₯Έ μμΈμΌλ‘ λ¬Άμ¬ μ λ¬Έλνμμ νκ΅λ§μ‘±λλ₯Ό μ€λͺ
νκ³ μλ κ²μΌλ‘ λνλ¬λ€. κ·Έλ¦¬κ³ νμΈμ μμΈλΆμμ ν΅νμ¬ μ λ¬Έλνμμ νκ΅λ§μ‘±λλ κ΅μ‘ μ§μ, μ§λ‘ λ° μ·¨μ
μ§μ, νμ μ§μ, 물리μ νκ²½ μ§μμΌλ‘ ꡬλΆλκ³ , κ΅μ‘ μ§μμλ κ΅μ‘κ³Όμ , μμ
, κ΅μ ꡬμΈμ΄, μ§λ‘ λ° μ·¨μ
μ§μμλ μ§λ‘ νλ‘κ·Έλ¨ λ° μ§λ‘ μλ΄, μ·¨μ
νλ‘κ·Έλ¨ λ° μ·¨μ
μ 보 ꡬμΈμ΄, νμ μ§μμλ νμ¬νμ , μ§μ λ° μ‘°κ΅ κ΅¬μΈμ΄, 물리μ νκ²½ μ§μμλ κ΅μ‘ μμ€ λ° κΈ°μμ¬, μΊ νΌμ€ νκ²½ ꡬμΈμ΄ μ‘΄μ¬ν¨μ νμΈν μ μμλ€.
μ΄μ κ°μ μ°κ΅¬ κ²°κ³Όλ₯Ό ν λλ‘ νμ μ°κ΅¬λ‘μ (1) κ°λ°λ μΈ‘μ λꡬμ κ΄λ ¨ λꡬ λ° λ³μΈκ³Όμ μ§μμ μΈ νλΉν μ°κ΅¬, (2) μ λ¬Έλνμμ νκ΅λ§μ‘±λ μΈ‘μ λꡬμ λ³΄λ€ λͺ
νν μμΈκ΅¬μ‘° νμ±μ μν νμ μ°κ΅¬, (3) μμΈνλΉλ κ²μ¦μ μν κ΄κ³ μ°κ΅¬, (4) μΈ‘μ κ²°κ³Όμ λ³΄λ€ νλΆν ν΄μμ μν λ§μ‘±λ νΉμ± κ°λ° λ±μ μ μνμλ€.I. μλ‘ 1
1. μ°κ΅¬μ νμμ± 1
2. μ°κ΅¬μ λͺ©μ 6
3. μ°κ΅¬μ λ¬Έμ 6
4. μ©μ΄μ μ μ 6
II. μ΄λ‘ μ λ°°κ²½ 9
1. μ λ¬Έλνμ νν©κ³Ό μ λ¬Έλνμμ νΉμ± 9
2. μ λ¬Έλνμμ νκ΅λ§μ‘±μ μμ 19
3. μ λ¬Έλνμμ νκ΅λ§μ‘±λ μμ 34
4. μΈ‘μ λꡬ κ°λ° μ μ°¨ 86
III. μ°κ΅¬μ μ μ°¨ λ° λ°©λ² 93
1. ꡬμ±μμΈ μ€μ 94
2. λ¬Ένκ°λ° 100
3. νλΉλ λ° μ λ’°λ κ²μ¦ 104
4. κ·μ€ κ°λ° 110
IV. μ°κ΅¬μ κ²°κ³Ό 113
1. μ λ¬Έλνμμ νκ΅λ§μ‘±λ ꡬμ±μμΈ μ€μ 113
2. μ λ¬Έλνμμ νκ΅λ§μ‘±λ μΈ‘μ λꡬμ λ¬Έν κ°λ° 122
3. μ λ¬Έλνμμ νκ΅λ§μ‘±λ μΈ‘μ λꡬμ νλΉλ λ° μ λ’°λ κ²μ¦ 128
4. μ λ¬Έλνμμ νκ΅λ§μ‘±λ μΈ‘μ λꡬμ κ·μ€ κ°λ° 153
V. μμ½, κ²°λ‘ λ° μ μΈ 167
1. μμ½ 167
2. κ²°λ‘ 170
3. μ μΈ 172
μ°Έ κ³ λ¬Έ ν 173
λΆλ‘ 183
1. μ λ¬Έλνμμ νκ΅λ§μ‘±λ μΈ‘μ λꡬ λ¬Έν κ°λ°μ μν μ¬μΈ΅λ©΄λ΄ μ°Έμ¬ λμμ 183
2. μ λ¬Έλνμμ νκ΅λ§μ‘±λ μΈ‘μ λꡬ λ¬Έν κ°λ°μ μν λ©΄λ΄μ§ 184
3. λΈνμ΄ μλ¬Έμμ μΉλμ 185
4. 1μ°¨ λΈνμ΄ μ‘°μ¬λ₯Ό μν μ€λ¬Έμ§ 186
5. 2μ°¨ λΈνμ΄ μ‘°μ¬λ₯Ό μν μ€λ¬Έμ§ 193
6. μ λ¬Έλνμμ νκ΅λ§μ‘±λ μΈ‘μ λꡬμ λ΄μ©νλΉλ κ²μ¦μ μν μ€λ¬Έμ§ 203
7. μ λ¬Έλνμμ νκ΅λ§μ‘±λ μΈ‘μ λꡬ κ°λ°μ μν λ΄μ©νλΉλ κ²μ¦μ μν μ€λ¬Έμ§ λΆμ κ²°κ³Ό 208
8. μλΉμ‘°μ¬λ₯Ό μν μ λ¬Έλνμμ νκ΅λ§μ‘±λ μΈ‘μ λꡬ 210
9. μλΉμ‘°μ¬μ 1μ°¨ μμΈλΆμ κ²°κ³Ό 214
10. μλΉμ‘°μ¬μ 2μ°¨ μμΈλΆμ κ²°κ³Ό 216
11. μ λ¬Έλνμμ νκ΅λ§μ‘±λ μΈ‘μ λꡬ(λ³Έμ‘°μ¬μ©) 218
12. μ λ¬Έλνμμ νκ΅λ§μ‘±λ μΈ‘μ λꡬμ μ΅μ’
κ°λ°μ 223
13. μ λ¬Έλνμμ νκ΅λ§μ‘±λ μΈ‘μ λꡬμ μ§λ¨λ³ κ·μ€ 229Docto
(A) study on the development of the statistical information system on health and welfare based on the Enterprise Information Portal (EIP) approach. : 보건볡
보건μ 보κ΄λ¦¬νκ³Ό/μμ¬[νκΈ]
κ΅λ―Όμ γμΆμ μ§γν₯μμ μν΄μλ κ΅κ°μ ν©λ¦¬μ μ΄κ³ ν¨μ¨μ μΈ λ³΄κ±΄λ³΅μ§ μ μ±
μ μλ¦½μ΄ λ¬΄μ보λ€λ μ€μνλ€ ν μ μμΌλ©°, μ΄λ¬ν κ΅κ° μ μ±
μ ν¨μ¨μ± ν보λ₯Ό μν κΈ°μ΄μ μΈ μν μ νλ κ²μ΄ ν΅κ³μ΄λ€.
보건볡μ§λΆ λν λ§€μ° κ΄λ²μν λΆμΌμ μ
무λ₯Ό μννκ³ μμΌλ©°, μ μ°¨ λ€μνλμ΄ κ°λ 보건볡μ§μ¬μ
μ ν¨μ¨μ μΈ μΆμ§μ μν΄μλ κ° μ¬μ
λΆμΌμμ νμλ‘ νλ ν΅κ³μ 보λ₯Ό μ μνκ³ νΈλ¦¬νκ² νμ©ν μ μλ μλ‘μ΄ μ 보μμ€ν
μ΄ μꡬλμ΄ μ§λ€.
λ°λΌμ, λ³Έ μ°κ΅¬λ λ³΄κ±΄λ³΅μ§ ν΅κ³μ 보 κ΅¬μΆ λ° νμ±νλ₯Ό μνμ¬ EIPμ κ°λ
μ λ³΄κ±΄λ³΅μ§ ν΅κ³λΆμΌμ μ μ©ν ν΅κ³μ 보ν¬νμ λͺ¨νμ ꡬνν΄λ΄μΌλ‘μ¨, ν¨μ¨μ μΈ λ³΄κ±΄λ³΅μ§μ μ±
μ립μ μ§μνκΈ° μν 보건볡μ§λΆμ EIP κ΅¬μΆ μ λ΅μ μ μνκ³ μ νμλ€.
보건볡μ§μ κ΄λ ¨ν ν΅κ³μ 보μ μμ°νν©κ³Ό κ΄λ ¨ μ 보μμ€ν
μ λΆμνμ¬ ν μμ€ν
μ νκ°νκ³ , μ¬μ©μ μꡬλΆμμ ν΅νμ¬ μ
무λ΄λΉμκ° νμν ν΅κ³μ 보λ₯Ό νλμ ν¬ννλ©΄μμ κ²μνκ³ νμ©ν μ μλ EIP κ°λ
μ ν΅κ³μ 보ν¬νμ λͺ¨νμ μ μνμλ€. λν, ꡬμΆλ λͺ¨νμ μ¬μ©μκ΄μ κ³Ό λ°μ΄ν°λ² μ΄μ€κ΄μ λ±μμ κΈ°μ‘΄ μμ€ν
κ³Ό λΉκ΅νμ¬ μ μν¨μΌλ‘μ¨, ν΅κ³μ 보μ νμ©λ°©μκ³Ό EIP λμ
νμμ±μ μ μνμλ€.
μ μλ ν΅κ³μ 보ν¬νμ λͺ¨νμ ꡬμΆλ ν΅κ³μ 보μ ν¨μ¨μ μ¬μ©λ°©μκ³Ό ν₯ν μ 체 μ
무 λ° μμ€ν
μ λμμΌλ‘ ν EIP λμ
μ μ νμ°κ΅¬λ‘ νμ©λ μ μμ κ²μ΄λ€.
[μλ¬Έ]
In order to improve "Quality of Life" of the people, there is a need to develop rational and effective policies for health and welfare based on accurate and timely statistics. The Ministry of Health and Welfare (MOHW) is carrying out a wide-range of policies and projects. To provide necessary statistics to support these policies, there is a need for an effective information system that collects and produces key statistics for health and welfare policies in a timely manner.// This paper presented a model for a web-based statistical information system based on the Enterprise Information Portal (EIP) approach. Specifically, we presented the concept of EIP as well as the model system by expanding the existing statistical system using EIP approach. Distinct feature of this approach is that a number of portal sites are integrated in one system and therefore user can access a variety of statistics from a single screen. In this study, we selected one department, as a case study, and developed sample screens based on the user information requirements obtained by systems analysis.
While there were several studies on statistical information system in public sector, most of them have only focused on the need for user friendly such system, rather than presenting a detailed description of the system. The EIP statistical information system and work classification system presented in this paper can be used as a model for developing an actual statistical information system at MOHW in the future.ope
The Difference of Members Policy Concern and Influence in Mixed Electoral System
μ΄ μ°κ΅¬μ λͺ©μ μ νκ΅μ νΌν©ν μ κ±°μ λμ μ£Όλͺ©νμ¬, μμ 거ꡬμ μ μν΄ μ μΆλ μ§μꡬ μμκ³Ό μ λΉλͺ
λΆμ λΉλ‘λνμ μ μν΄ μ μΆλ λΉλ‘λν μμμ΄ μ μ±
μ κ΄μ¬κ³Ό μ μ±
μν₯λ ₯μ μ°¨μ΄λ₯Ό 보μ΄λμ§λ₯Ό λΆμνλ κ²μ΄λ€. λ¨μλ€μ μμ 거ꡬμ μ μν΄ μ μΆλ μ§μꡬ μμμ κ°ν μ§μμ μ°κ³μ μ κ±°μ±
μμ±μ κ°κΈ° λλ¬Έμ λΉλ‘λν μμκ³Ό μ°¨λ³μ μΈ μ μ±
κ΄μ¬κ³Ό μν₯λ ₯μ λ³΄μΌ κ²μΌλ‘ κΈ°λλλ€. λΆμλμμ μ 18λ κ΅νμμ λ°μλ 1λ§1191건μ μμμμ΄λ€. μμμμ μ΄ 15κ°μ μ μ±
λΆμΌλ‘ λΆλ₯λμλ€. κ΅νμμμ μ μ±
μ κ΄μ¬μ λ²μλ°μλ₯Ό ν΅ν΄μ, μ μ±
μν₯λ ₯μ λ²μκ°κ²°κ³Ό λμλ°μνκΈ°λ₯Ό ν΅ν΄μ νμ
νμλ€. λΆμκ²°κ³Όλ λ€μκ³Ό κ°λ€. 첫째, μ§μꡬ μμμ΄ λΉλ‘λν μμλ³΄λ€ μλμ μΌλ‘ λμ μ μ±
κ΄μ¬μ λ³΄μΈ λΆμΌλ λλ¦Όμμ°μ μ±
, κ΅ν κ°λ°μ μ±
, μ‘°μΈμ¬μ μ μ±
μΌλ‘ λνλ¬λ€. μ¬κΈ°μ ν΄λΉλλ λ²μλ€μ μμκ³Ό μμ°μ λΆλ°°μ κ΄λ ¨λ λΆλ°°μ μ±
(distributive policy) μ νμ μνλ©°, μμμ μ§μꡬμ μ¬μ μΉ(pork barrel politics)μ μ 리ν μ μ±
λΆμΌλΌλ 곡ν΅μ μ κ°λλ€. λμ§Έ, λΉλ‘λν μμμ μ¬μ±κ°μ‘±μ μ±
, 보건볡μ§μ μ±
, λ
Έλμ μ±
λ±μμ μλμ μΌλ‘ λμ κ΄μ¬μ 보μλ€. μ΄λ μ¬μ±μ΄λ λ
Έλμ λ± κ΄λ²μν μΈκ΅¬μ§λ¨μ μ μ±
λμμΌλ‘ νλ©°, 볡μ§μ μ±
μ μ±κ²©μ κ°νκ² λ λ μ μ±
λΆμΌλΌλ νΉμ§μ κ°λλ€. μ
μ§Έ, λλ¦Όμμ°μ μ±
κ³Ό κ΅ν κ°λ° μ μ±
μ κ²°μ κ³Όμ μμ μ§μꡬ μμμ λΉλ‘λν μμλ³΄λ€ μλμ μΌλ‘ ν° μν₯λ ₯μ νμ¬νλ κ²μΌλ‘ λνλ¬λ€. νΉν λλ¦Όμμ°μ μ±
μ κ²½μ°μλ μ§μꡬ μμμ μ μ±
μν₯λ ₯μ΄ ν΅κ³μ μΌλ‘λ μ
μ¦λμλ€. μ΄ μ°κ΅¬λ νΉμ μ μ±
λΆμΌμμλ κ΅νμμμ λνμ νμ΄ μμ νλμ μν₯μ λ―ΈμΉλ μ μλ―Έν λ³μμμ μ
μ¦νμλ€λ μ μμ μμλ₯Ό μ°Ύμ μ μλ€.The purpose of this study, which is focused on Koreas mixed electoral system, is to analyze the difference of policy activity between members elected by the single-member district (SMD) and the Members elected by the party list of proportional representation (PR). Because Members from SMD have strong local connections and representational accountability, they are expected to have greater incentives for pork barrel legislation than proportional representatives. The data for analysis was from the 11,191 cases of members proposals from the 18th National Assembly. The legislative proposals were classified into a total of 15 policy areas. Policy concerns of the members of the National Assembly are reflected through bill proposals and policy influence is reflected in passed bills. The results are as follows. Firstly, Members fro SMD show greater interest in the fields of agriculture, forestry and fisheries policies, land development policy and taxation and fiscal policy than PR Members. The bills that are in those fields are classified as distributive policies, which relates to the distribution of resources and the budget. These policy area are beneficial to Members reelection. Secondly, proportional representatives showed a relatively high level of interest in women and family policy, health and welfare policy, labor policy and others. They target an extensive range of population groups, including women and workers, and are especially in charge of welfare policy. Thirdly, in agriculture, forestry and fisheries policies and land development policies, Members from SMD showed significantly greater policy influence than proportional representatives. In particular, the policy influence of Members from SMD in agriculture, forestry and fisheries policies is statistically confirmed. This study has proven meaningful by confirming that in certain policy fields, representative type among National Assembly members can influence their legislative activity