• 한국군사과학기술학회지
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• 제2권2호
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• pp.166-172
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• 1999

Weapon system is defined as a combination of primary system and logistics support system which are evaluated by capability and operational availability respectively. Weapon system developer thought that primary system was weapon system and also only primary system was important. Recent comparison of total life cycle cost showed that logistics support system was proved to be more important than primary system. However, until now no systematic approach to logistics support system development have applied in the area of developing support system and much money was exhausted by wrong logistics support system. We need to construct a universal metric for effectiveness of logistics support system and to cut out whatever activities or support elements which do not contribute to the metrics. This study describes a new approach under the name function approach to logistics support system development and also classifies five factors of failure frequency, stock out of frequency, administrative delay time, active repair time and logistic delay time that have influence on operational availability of logistics support system.

• Journal of the Korean Statistical Society
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• 제32권3호
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• pp.299-309
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• 2003

Let ${\pi}_1,...,{\pi}_{k}$k($\geq$2) independent logistic populations such that the cumulative distribution function (cdf) of an observation from the population ${\pi}_{i}$ is $$F_{i}\;=\; {\frac{1}{1+exp{-\pi(x-{\mu}_{i})/(\sigma\sqrt{3})}}},\;$\mid$x$\mid$<\;{\infty}$$ where ${\mu}_{i}(-{\infty}\; < \; {\mu}_{i}\; <\; {\infty}$ is unknown location mean and ${\delta}^2$ is known variance, i ＝ 1,..., $textsc{k}$. Let ${\mu}_{[k]}$ be the largest of all ${\mu}$'s and the population ${\pi}_{i}$ is defined to be 'good' if ${\mu}_{i}\;{\geq}\;{\mu}_{[k]}\;-\;{\delta}_1$, where ${\delta}_1\;>\;0$, i = 1,...,$textsc{k}$. A selection procedure based on sample median is proposed to select a subset of $textsc{k}$ logistic populations which includes all the good populations with probability at least $P^{*}$(a preassigned value). Simultaneous confidence intervals for the differences of location parameters, which can be derived with the help of proposed procedures, are discussed. If a population with location parameter ${\mu}_{i}\;<\;{\mu}_{[k]}\;-\;{\delta}_2({\delta}_2\;>{\delta}_1)$, i ＝ 1,...,$textsc{k}$ is considered 'bad', a selection procedure is proposed so that the probability of either selecting a bad population or omitting a good population is at most 1­ $P^{*}$.

• Communications for Statistical Applications and Methods
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• 제27권2호
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• pp.225-239
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• 2020

Analysis approaches for single compositional data are well established; however, effective analysis strategies for paired compositional data remain to be investigated. The current project was motivated by studies of age-related hearing loss (presbyacusis), where subjects are classified into four audiometric phenotypes that need to be ranked within these phenotypes based on their paired compositional data. We address this challenge by formulating this problem as a classification problem and integrating a penalized multinomial logistic regression model with compositional data analysis approaches. We utilize Elastic Net for a penalty function, while considering average, absolute difference, and perturbation operators for compositional data. We applied the proposed approach to the presbyacusis study of 532 subjects with probabilities that each ear of a subject belongs to each of four presbyacusis subtypes. We further investigated the ranking of presbyacusis subjects using the proposed approach based on previous literature. The data analysis results indicate that the proposed approach is effective for ranking subjects based on paired compositional data.

• 동서간호학연구지
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• 제16권2호
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• pp.172-178
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• 2010

Purpose: We examined the relationship between the health-related issues of elderly women and bone density and identified specific factors that affect the prevalence of osteoporosis to provide basic data for developing a health care program on osteoporosis prevention. Methods: This study is a secondary data analysis of 118,903 66-yr-old women who received a health examination conducted by the National Health Insurance Corporation in 2008. Multiple logistic regression analysis was used to identify factors affecting the prevalence of osteoporosis. Results: The prevalence of osteoporosis was 46.8%, whereas the prevalence of osteopenia was 38.4% among elderly women in this study. Statistically significant differences were observed between the osteoporosis and non-osteoporosis group in terms of smoking (p<.001), exercise (p<.001), obesity (p<.001), waist circumference (p<.001), depression (p<.001), falling experience (p<.05), and the cognitive function risk (p<.05). Based on the multiple logistic regression results, the risk for osteoporosis was high in those who were under-weight, smoked, or were depressed. In contrast, moderate or high level obesity showed a negative relationship with osteoporosis. Conclusion: The prevalence of osteopenia and osteoporosis was 85.2%. Therefore, there is a need to develop health care programs pertaining to osteoporosis intervention and prevention for elderly women. Because smoking, non-exercise, and obesity are main osteoporosis risk factors, it is highly recommended that some sound practical life programs and psychological support programs be considered for this population.

• 한국시뮬레이션학회논문지
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• 제21권1호
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• pp.27-34
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• 2012

본 논문의 목적은 복잡한 군수지원시스템의 모델링과 시뮬레이션을 위한 방법론을 제안하는 것이다. 제안하는 군수지원시스템 시뮬레이션 모델을 구성하는 요소들은 세 가지가 있다 : Logistics force agent(static model), Military supplies transport manager(function model), Military supplies state manager(dynamic model). Logistics force agent는 main function agent와function agent로 구성된다. Function agent가 다른 Logistics force agent에도 적용할 수 있도록 설계되었으며, 이는 에이전트의 높은 조합성과 재사용성을 가진다. Military supplies transport manager는 보급로에 대한 정보를 가지며 military supplies state manager로부터 받은 결정변수를 기반으로 보급로를 결정하고 군수품을 수송하는 역할을 하는 에이전트이다. Military supplies state manager는 군수품 보급을 요청받고 보급량, 우선순위 따위의 결정 변수를 military supplies transport manager에게 알려주는 역할을 한다. 본 논문에서는 군수 시뮬레이션 모델의 설계를 위해 Discrete Event Systems Specification(DEVS) formalism을 이용하였다.

• 지역사회간호학회지
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• 제29권3호
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• pp.290-299
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• 2018

Purpose: The purpose of the present study is to examine risk factors for unawareness of obstructive airflow limitation among adults with chronic obstructive pulmonary disease. Methods: Secondary data analysis was performed with the data from the 6th Korea National Health and Nutrition Examination Survey (KNHANES; 2013-2014). The data were analyzed with the IBM SPSS 22.0 version using frequency, percentage, odds ratio, and logistic regression. Results: Ninety-eight percent of subject with a pulmonary function test score of $FEV_1/FVC$<0.7 (N=833) did not recognize that their lung function was impaired. The heavy drink, absence of tuberculosis or asthma diagnosis, and no symptom of expelling phlegm were identified as major risk factors for unawareness of airflow limitation. Conclusion: In order to increase awareness of airflow limitation and to prevent the worsening of the condition, the pulmonary function screening test should be provided to community residents including those who do not show symptoms of respiratory illness.

• 근관절건강학회지
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• 제27권2호
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• pp.199-209
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• 2020

Purpose: This study examined the prevalence of depressive symptoms and psycho-behavioral factors affecting depressive symptoms in patients with osteoarthritis. Methods: This cross-sectional study enrolled a convenience sample of 157 patients with osteoarthritis in a university hospital between March and December 2018. Depressive symptoms, osteoarthritis function, therapeutic self-efficacy, and health-related quality of life (QoL) were measured using structured questionnaires. Logistic regression analysis was used to investigate factors affecting depressive symptoms. Results: The mean age of participants was 73.3 years with 76.4% of them being women. The prevalence of depressive symptoms was 38.5%. Patients with depressive symptoms were more likely to be currently smoking and had an occupation and worse flexibility function associated with osteoarthritis. Whereas they were less likely to engage in regular physical activity and had a low level of therapeutic self-efficacy and perceived health-related QoL. Conclusion: Therapeutic self-efficacy to regular physical activity, including flexibility function may be primary factors influencing depressive symptoms in patients with osteoarthritis. With the management of osteoarthritis, psycho-behavioral factors should be considered in developing interventions to prevent depressive symptoms in patients with osteoarthritis.

• 성인간호학회지
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• 제22권1호
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• pp.80-89
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• 2010

Purpose: This paper has attempted to investigate the association between the subclinical thyroid function disorder caused by natural change in thyroid hormones or thyroid remedies and the incidence of CHD. Methods: Data was analyzed of 7,675 women who had undergone health examinations in a hospital in Gyeonggi-do between January 2007 and December 2008. The covariation of the coronary risk factors such as age, BMI, HbA1C, systolic blood pressure, LDL:HDL-cholesterol ratio, CRP, smoking and exercise were analyzed by using logistic regression analysis. Results: A significant increase in serum TSH was observed with higher age (F=26.91, p=.00). In terms of age, the risk of CHD started to gradually increase since the 40s and sharply since the 60s (${\chi}^2$=113.29, p=.00). The serum TSH was the most significant parameter influencing CHD (B=.12, p=.00). The risk of coronary heart disease was 3.12 times higher in the subclinical hypothyroidism group (OR=3.12) while no significant difference was observed in the subclinical hyperthyroidism group. Conclusion: Subclinical hypothyroidism may be an independent risk factors for CHD. A nurse nursing patients with thyroid disorder should be well informed of their state of subclinical thyroid function disorder and make efforts to extend their health expectancy.

• 한국노년학
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• 제38권2호
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• pp.351-364
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• 2018

본 연구는 김포시 거주 노인들을 대상으로 노인복지관 이용 결정요인을 파악하는데 목적을 두고 있다. 그 이유는 노인복지관이 종합서비스 제공기관으로 국가정책 차원에 명시되어 있음에도 불구하고 실천 현장에서 과연 노인들에게 고유의 역할과 기능을 하고 있느냐 하는 관점에서 출발하고 있다. 특히 농어촌 거주 노인들의 경우 평소 여가활용 기회가 부족한 상황에서 지난 10년간 전국의 노인복지관 관련 수가 획기적으로 증가하였음에도 노인복지관 역할과 위상이 동일하게 여겨지고 있는가하는 점은 의구심을 불러일으키고 있다. 이에 도농형 도시 김포시에 거주하는 만 65세 이상 노인 360명을 대상으로 실태조사를 하였다. 연구방법으로 앤더슨 모형의 선행요인과 가능요인, 욕구요인간의 영향과 관계를 검증하고자 로짓분석 및 의사결정나무분석을 시행하였다. 연구결과 로짓분석에서는 앤더슨 모형에서 제시한 대부분의 요인들이 통계적으로 유의미하였다. 선행요인에서는 성별, 연령, 교육수준이, 가능요인에서는 월평균소득이, 욕구요인에서는 노후를 위한 경제자금준비와 경제활동준비가 유의미하였다. 다음으로 요인간 상호작용을 감안한 의사결정나무분석 시행 결과, 선행요인 중 교육수준이 높은 경우 노인복지관을 이용할 가능성이 가장 높았으며, 다음으로 욕구요인 중 건강증진 준비수준이 낮은 경우 노인복지관을 이용할 가능성이 높게 예측되었다. 이상과 같은 연구결과에 근거하여 노인복지관의 종합적 서비스 제공의 필요성을 제안하였다.

• 한국임상약학회지
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• 제29권4호
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• pp.238-246
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• 2019

Background: In South Korea, as an aged society, an understanding of dementia and its risk factors is important from clinical and healthcare policy perspectives. Relationship between cognitive impairment and body weight or weight changes have been reported, but these were contradictory. We have evaluated the association between weight changes and cognitive decline using national level longitudinal data. Methods: Data from the Korean Longitudinal Study of Ageing from 2006 to 2012 were used. Association between weight changes and decline in cognitive function as measured by K-MMSE (the Korean version of the Mini-mental state examination) score was assessed by multivariate logistic regression. Weight changes were calculated from 1st wave and 3rd wave survey data, and classified into five groups as stable, increases, decreases of >10%, or 5%-10%. Results: About 37% of the total participants (n=4,512) were 65 years or older. These participants made up the largest proportion of the groups with weight change exceeding 10%. Multivariate logistic regression analyses revealed that weight changes exceeding 10% (10% increase vs stable, adjusted OR [aOR] 1.47, 95% confidence interval (CI) 1.11-1.95; 10% decrease vs stable, aOR 1.44, 95% CI 1.11-1.88) were significant predictive factors for decline in cognitive function. In subgroup analyses, the association between weight changes and cognitive decline was significant in males aged over 65 years and in normal BMI groups. Conclusion: Weight changes, both increases and decreases exceeding 10% of baseline, were significantly associated with declines in cognitive function among older adults in South Korea.