• Journal of Digital Convergence
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• v.11 no.9
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• pp.289-299
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• 2013

The aim of this study was to enhance the NHI claims data-based tuberculosis classification rule of KCDC(Korea centers for disease control & prevention) for an effective TB surveillance system. 8,118 cases, 10% samples of 81,199 TB cases from NHI claims data during 2009, were subject to the Medical Record Survey about whether they are real TB patients. The final study population was 7,132 cases whose medical records were surveyed. The decision tree model was evaluated as the most superior TB patients detection model. This model required the main independent variables of age, the number of anti-tuberculosis drugs, types of medical institution, tuberculosis tests, prescription days, types of TB. This model had sensitivity of 90.6%, PPV of 96.1%, and correct classification rate of 93.8%, which was better than KCDC's TB detection model with two or more NHI claims for TB and TB drugs(sensitivity of 82.6%, PPV of 95%, and correct classification rate of 80%).

• Proceedings of the KAIS Fall Conference
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• 2010.11b
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• pp.759-762
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• 2010

본 연구는 당뇨인지환자들의 당뇨 조절에 관계되는 요인들을 포괄적으로 반영하는 집단으로 분류한 후 이를 기반으로 보다 효율적인 당뇨관리사업을 할 수 있는 기초자료를 제공하기 위해 수행되었다. 연구를 위해 2007년, 2008년도 국민건강영양조사를 통해 검진에 참여한 당뇨인지환자 666명의 자료를 수집하여 분석하였다. 당뇨인지환자의 관리행태에 대한 군집분류는 K-means 기법을 이용하였다. 당뇨인지환자의 군집은 건강행태사업 대상군, 중점관리사업 대상군, 합병증검사사업 대상군으로 분류되었다. 당뇨 조절율을 높이기 위해서는 각 군집의 특성에 따라 보다 특화된 당뇨관리 프로그램이 적용되어야 할 것이다.

• 건강소식
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• v.35 no.3
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• pp.18-20
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• 2011

피로(疲勞)의 사전적 의미는 과로로 인해 정신이나 몸이 지쳐 힘든 상태를 말한다. 과도한 업무나 스트레스, 수면부족, 지나친 음주 등으로 인해 신체 리듬이 깨지면 피곤함을 쉽게 느끼게 된다. 대부분 충분한 휴식을 취하면 피곤함이 덜어지는데 휴식을 취해도 1개월 이상 피로가 계속되면 지속성(prolonged)피로, 6개월 이상 지속되면 만성(chronic)피로를 분류된다.

• 건강소식
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• v.28 no.10 s.311
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• pp.36-37
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• 2004

경북 청송의 주왕산은 그리 높지 않지만 거대한 암벽이 병풍처럼 둘러선 산세 때문에 험한 산으로 분류되고 했다. 그 험한 산세 때문에 예부터 석병산, 대둔산 등 여러 이름으로 불리기도 했다. 맑은 물이 흐르는 폭포와 함께 달기약수, 주산저수지 등 다양한 볼거리가 있는 곳으로 유명하다.

• Journal of agricultural medicine and community health
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• v.31 no.2
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• pp.145-156
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• 2006

Objectives: Health behaviors are related to each other, or they may be essentially dependent upon each other. Hence the overall health behaviors of a given population could be better described in terms of health lifestyle patterns. This paper tried to classify such patterns in a sample population and suggest the socioeconomic and demographic characteristics of each groups. Methods: A sample population comprised of 2,775 adults who reported their health behaviors in a public health survey were classified according to their smoking, drinking, diet, and exercise related pattern of behaviors. Clustering analysis was used to classify them. Results: Six health lifestyle patterns were identified. Individuals in the passive lifestyle cluster (48.3%) had no active health promoting activities, but did avoid risk taking health behaviors. 24.8% of the sample (Health promoting lifestyle) had an overall healthy lifestyle. 13.5% of the sample were in the smoking cluster, and 8.4% were in the alcohol drinking cluster. The hedonic lifestyle (4.5%) was characterized by heavy smoking, alcohol drinking and poor diet and exercise. 0.7% of the sample (Smoking-Drinking lifestyle) had heavy smoking and drinking, but good diet and exercise. Each group could be characterized by sex, age, and income. Conclusions: A population sample of Seoul adults were successfully clustered into six health lifestyles. The socioeconomic and demographic characteristics were suggested for the characterization of the each health lifestyle groups. We can approach to a certain target population with specific strategy.

• The Journal of the Korea Contents Association
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• v.14 no.2
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• pp.409-420
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• 2014

The purpose of this study is to examine the level of stress and depressive symptom and to assess the utilization of professional consultation. Data extracted from Community Health Survey (CHS), conducted by Korea Centers for Disease Control and Prevention. The subjects were 174,975 (19-65 years). In result, 'Managers', 'Professionals and related workers', 'Clerks', 'Service workers', and 'Sales workers', 'Equipment, machine operating assembling workers', and 'Armed forces' were more in risk of stress. However, theses groups were less in probability of utilization for stress consultation. Based on these findings, mental health screening program for detecting risk group among occupation classification and employment status will be essential. It may be necessary to have sustainable strategies for utilizing mental health service to reduce the level of stress and depressive symptom of workers.

• 월간산업보건
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• no.9 s.245
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• pp.28-36
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• 2008

• Journal of Digital Convergence
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• v.14 no.11
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• pp.619-626
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• 2016

The purpose of this study was to investigate effects of physical activity and sedentary life in metabolically healthy obesity(MHO) and metabolically unhealthy obesity(MUO). A total of 1585 middle-aged obesity men and women participated in this study. The subjects were divided to MHO(n=840) and MUO(n=745) by metabolic syndrome markers(National Cholesterol Education Program-Adult Treatment Panel III). We analyzed measurement data using t-test. As results, physical activity and exercise participant between group had not significant difference in men subjects. But, in women subjects, total physical activity volume and muscle strength exercise participant between group had a significant difference. In conclusion, we suggest that physical activity and exercise participant are important factors affecting health status in the same level of obesity women.

• Journal of Digital Convergence
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• v.15 no.4
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• pp.477-488
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• 2017

The purpose of this study was to investigate difference of Physical Activity and Sedentary Life according to Health and Obesity status. A total of 4,783 adults participated in this study. The subjects were divided to four group(metabolically healthy normal weight; MHNW, metabolically unhealthy normal weight; MUNW, metabolically healthy obesity; MHO, metabolically unhealthy obesity; MUO) and analyzed clinical character, physical activity, and sedentary life time. As results, Compared with MHNW, MHO was higher physical activity and sedentary time but there was no notable differences. Compared with MHNW, MUNW was higher physical activity and lower sedentary time but there was no notable differences. Compared with MUNW, MHO was lower physical activity and sedentary time but there was no notable differences. In conclusion, we suggest that MHO has high physical activity comparing nomal weight group relatively.

• Proceedings of the Korea Water Resources Association Conference
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• 2022.05a
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• pp.464-464
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• 2022

건강한 수생태계 유지·관리를 위하여 다양한 수생생물을 활용한 각 분류군의 종별 서식지 적합도 지수 DB 구축의 필요성이 증대되고 있다. 대부분의 수생생물의 경우 문헌 연구를 통해 서식지 적합도 지수를 산정하기는 어려우므로 현장 모니터링 자료를 이용한 어류, 저서생물 등의 서식지 적합도 지수를 산정하여 하천 복원 및 수생생물의 서식에 필요한 생태유량 결정에 중요한 인자로 활용하고 있다. 국내에서 하천 건강성 평가 등을 통해 수계별 다양한 조사를 수행하고 있으나 대부분의 연구는 출현 종 분류 및 출현율 등에 국한되어 있다. 또한, 부족한 현장 모니터링 자료로 인해 서식지 적합도 지수를 산정하기 위한 객관적이고 과학적인 물리적 인자를 도출하기 어려운 실정이며, 이는 전문가의 경험을 바탕으로 한 주관적 판단으로 이어져 결과의 신뢰성 측면에서 한계가 있을 수 있다. 따라서, 수계별 장기적인 모니터링 및 자료 구축을 위한 연구가 필요하며, 기존 서식지 적합도 지수 산정에 관한 방법의 장단점을 명확히 파악하여 국내 하천환경 및 특성에 적합한 서식지 적합도 지수 구축이 반드시 선행되어야 할 것이다.