• 한국학교보건학회지
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• 제32권2호
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• pp.125-134
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• 2019

Purpose: The purpose of this study was to investigate the effects of sedentary behavior on subjective health in Korean adolescents. Methods: This study is designed as a cross-sectional study. The study sample comprised of 60,040 middle and high school students primarily at the age of 12 to 17. Using data from the 14th (2018) Korea Youth Risk Behavior Web-based Survey, multiple logistic regression analysis was conducted. Results: The rate of engaging in sedentary behavior for less than 2 hours was 28.4% and for more than 4 hours was 28.2% in Korean adolescents. In the result from the logistic regression analysis, compared to engaging in sedentary behavior for 2 hours or less, the adjusted odds ratio was 1.15 for over 4 hours, with other factors controlled. Conclusion: It is necessary to actively develop and promote active leisure activities and limit excessive media exposure and supplementary learning for adolescents.

• Journal of Information Processing Systems
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• 제16권6호
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• pp.1271-1280
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• 2020

The yield and quality of a micromanufacturing process are important management factors. In real-world situations, it is difficult to achieve a high yield from a manufacturing process because the products are produced through multiple nanoscale manufacturing processes. Therefore, it is necessary to identify the processes and equipment that lead to low yields. This paper proposes an analytical method to identify the processes and equipment that cause a defect in the plastic ball grid array (PBGA) during the manufacturing process using logistic regression and stepwise variable selection. The proposed method was tested with the lot trace records of a real work site. The records included the sequence of equipment that the lot had passed through and the number of faults of each type in the lot. We demonstrated that the test results reflect the real situation in a PBGA manufacturing process, and the major equipment parameters were then controlled to confirm the improvement in yield; the yield improved by approximately 20%.

• 대한교통학회지
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• 제10권3호
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• pp.103-122
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• 1992

The objective of this research is to develop a traffic accident forecasting model using traffic accident data in pusan from 1963 to 1991 and then to make short-term forecasts('93~'94) of traffic accidents in pusan. In this research, several forecasting models are developed. They include a multiple regression model, a time-series ARIMA model, a Logistic curve model, and a Gompertz curve model. Among them, the model which shows the most significance in forecasting accuracy is selected as the traffic accident forecasting model. The results of this research are as followings. 1. The existing model such as Smeed model which was developed for foreign countries shows only 47.8% explanation for traffic accident deaths in Korea. 2. A nonliner regression model ($R^2$=0.9432) and a Logistic curve model are appeared to be th gest forecasting models for the number of traffic accidents, and a Logistic curve model shows th most significance in predicting the accident deaths and injuries. 3. The forecasting figures of the traffic accidents in pusan are as followings: . In 1993, 31, 180 accidents are predicted to happen, and 430 persons are predicted to be deaths and 29, 680 persons are predicated to be injuries. . In 1994, 33, 710 accidents are predicted to happen, and 431.persons are predicted to be deat! and 30, 510 persons are predicted to be injuried. Therefore, preventive measures against traffic accidents are certainly required.

• 한국경제지리학회지
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• 제20권2호
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• pp.173-188
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• 2017

본 연구는 수도권, 부산 경남 및 대구 경북 지역에 거주하는 가구를 대상으로, 가구의 거주지역 및 인적 특성요인이 주거입지 선호에 미치는 영향을 분석하는 것이다. 연구결과를 요약하면 다음과 같다. 첫째로, 가구의 거주지역 및 인적 특성요인이 개별 주거 입지요인의 선호도에 미치는 영향에 대한 다중회귀분석 결과를 통해, 개별 입지요인별로 가구의 거주지역 및 인적 특성에 따라 입지요인의 선호도가 차별적으로 나타나고 있음을 확인할 수 있었다. 둘째로, 주거 입지요인이 가구의 거주지역 및 인적 특성에 미치는 영향에 대한 이항로짓분석 결과를 통해, 역시 가구의 거주지역 및 인적 특성에 따라 선호하는 입지요인이 차별적임을 확인할 수 있었다. 따라서 가구의 거주지역 및 인적 특성과 입지요인은 상호적으로 영향을 미치고 있으며, 각각의 특성에 따라 차별적인 영향을 주고 받는 것으로 판단된다.

• Journal of Acupuncture Research
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• 제35권4호
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• pp.226-237
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• 2018

Background: This study examined the characteristics and prognosis of patients admitted to the Dunsan Korean medicine hospital for treatment of herniated intervertebral disc (HIVD) or spinal stenosis with Miniscalpel needle therapy (MSN). Methods: Patients were admitted to the Dunsan Korean medicine hospital from January 01, 2016 to September 30, 2017 for the treatment of HIVD or spinal stenosis with MSN. Crossover analysis, Independent sample t test, one-way ANOVA, multiple linear regression analysis, and binary logistic regression analysis were performed. Results: Crossover analysis showed statistically significant differences in treatment methods according to gender, current pain according to the disease duration, satisfaction of MSN according to disease duration, treatment methods, and intention of re-treatment with MSN according to treatment methods. Independent t test and one-way ANOVA showed that there was a difference in current Numeric Rating Scale (NRS) according to disease duration, and difference between discharge and current NRS, and number of MSN according to disease. Multiple linear regression analysis showed that age, disease duration, and number of MSN affect discharge NRS, disease duration, and number of MSN affect current NRS, and Western medical treatment after MSN, discharge NRS, and current NRS affect satisfaction of MSN. Binary logistic regression analysis showed that discharge NRS affects current pain, and gender, discharge NRS, and treatment methods affect intention of re-treatment with MSN. Conclusion: Characteristics, prognosis, satisfaction and variables affecting prognosis of MSN were statistically significant, indicating that more systematic studies are required to further examine the effects of MSN on HIVD or spinal stenosis.

• 시큐리티연구
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• 제43호
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• pp.99-120
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• 2015

본 연구는 계획된 행동이론을 적용하여 민간경비원의 건강행동을 분석하는데 주요 목적이 있다. 이상의 목적을 달성하기 위하여 서울 경기 지역에 거주하고 있는 민간경비원을 유의표집(purposive sampling)하였다. 불성실한 응답 및 이상치를 제외하고 187명의 자료가 분석에 사용되었다. 구체적인 분석 방법은 탐색적 요인분석(Exploratory Factor Analysis: EFA), Polyserial 상관분석, 각 변인간의 인과관계를 추정하기 위하여 다중회귀(multiple regression)분석과 로지스틱 회귀(logistic regression)분석을 실시하였다. 결과를 요약하면 다음과 같다. 첫째, 애착도, 행동에 대한 태도 주관적 규범, 지각된 행동 통제력은 건강행동 지속의지에 정(+)적인 영향을 미치는 것으로 나타났다. 둘째, 애착도는 행동에 대한 태도에 유의한 영향을 미치지 않는 것으로 나타났다. 셋째, 애착도는 건강행동 지속의지에 정(+)적인 영향을 미치는 것으로 나타났다. 넷째, 지각된 행동 통제력은 건강행동 실현여부에 정(+)적인 영향을 미치며 지각된 행동 통제력인 1단위 증가하면 건강행동을 실천할 가능성이 약 62.9%씩 증가하는 것으로 나타났다. 다섯째, 건강행동 지속의지는 건강행동 실현여부에 정(+)적인 영향을 미치며 지각된 행동 통제력인 1단위 증가하면 건강행동을 실천할 가능성이 약 72.3%씩 증가하는 것으로 나타났다.

• 기본간호학회지
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• 제26권1호
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• pp.1-11
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• 2019

Purpose: The goal was to use electronic health records to identify factors and outcomes associated with falls among patients admitted to hematology units. Methods: This retrospective case-control study included data from a tertiary university hospital. Analysis was done of records from 117 patients with a history of falls and 201 patients with no history of falls who were admitted to the hematology unit from January 1, 2013 to December 31, 2014. Risk factors were analyzed using hierarchical logistic regression; patient outcomes were analyzed using multiple logistic regression, Cox proportional hazards regression, and multiple linear regression. Results: Clinical factors such as self-care nursing (OR=4.47, CI=1.64~12.11), leukopenia (OR=6.03; CI=2.51~14.50), and hypoalbuminemia (OR=2.79, CI=1.31~5.96); treatment factors such as use of narcotics (OR=2.06, CI=1.01~4.19), antipsychotics (OR=3.05, CI=1.20~7.75), and steroids (OR=4.51, CI=1.92~10.58); and patient factors such as low education (OR=3.16, CI=1.44~6.94) were significant risk factors. Falls were also associated with increased length of hospital stay to 21.58 days (p<.001), and healthcare costs of 17,052,784 Won (p<.001). Conclusion: These findings can be a resource for fall prevention education and to help develop fall risk assessment tools for adults admitted to hematology units.

• 지역사회간호학회지
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• 제32권4호
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• pp.457-466
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• 2021

Purpose: The purpose of this study was to examine the correlations among emotional perception clarity, emotion regulation, family relationship, non-suicidal self-injury, and depression, and to determine associated factors of non-suicidal self-injury and depression for senior elementary school students. Methods: Data were collected from 150 early adolescences in K region, Korea. A self-report questionnaire consisted of Trait Meta-Mood Scale, Cognitive Emotion Regulation Questionnaire, Family Relationship Assessment Scale, Functional Assessment of Self-Mutilation, and Children's Depression Inventory. The data were analyzed using t-test, Pearson's correlation coefficient, logistic regression, and multiple regression analysis. Results: Non-suicidal self-injury and depression were positively associated with maladaptive emotion regulation strategy and family conflict, but negatively related to emotional perception clarity and family support. Adaptive emotion regulation strategy and family togetherness were only significantly correlated with depression. In logistic regression analysis, significant predictors of non-suicidal self-injury were emotional perception clarity, maladaptive emotion regulation strategy, and family support. Multiple regression analysis found that significant factors of depression were adaptive and maladaptive emotion regulation strategies, which explained 38.0% of the variance. Conclusion: Our study findings suggest that targeted intervention to reinforce the adaptive emotion regulation strategy and family relationship may prevent non-suicidal self-injury, and depression for senior elementary school students.

• Annals of Occupational and Environmental Medicine
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• 제35권
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• pp.51.1-51.15
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• 2023

Background: Recently, there has been increasing worldwide concern about outdoor air pollution, especially particulate matter (PM), which has been extensively researched for its harmful effects on the respiratory system. However, sufficient research on its effects on cardiovascular diseases, such as hypertension, remains lacking. In this study, we examine the associations between PM levels and hypertension and hypothesize that higher PM concentrations are associated with elevated blood pressure. Methods: A total of 133,935 adults aged ≥ 40 years who participated in the Korean Genome and Epidemiology Study were analyzed. Multiple linear regression analyses were conducted to investigate the short- (1-14 days), medium- (1 and 3 months), and long-term (1 and 2 years) impacts of PM on blood pressure. Logistic regression analyses were conducted to evaluate the medium- and long-term effects of PM on blood pressure elevation after adjusting for sex, age, body mass index, health-related lifestyle behaviors, and geographic areas. Results: Using multiple linear regression analyses, both crude and adjusted models generated positive estimates, indicating an association with increased blood pressure, with all results being statistically significant, with the exception of PM levels over the long-term period (1 and 2 years) in non-hypertensive participants. In the logistic regression analyses on non-hypertensive participants, moderate PM₁₀ (particulate matter with diameters < 10 ㎛) and PM_2.5 (particulate matter with diameters < 2.5 ㎛) levels over the long-term period and all high PM₁₀ and PM_2.5 levels were statistically significant after adjusting for various covariates. Notably, high PM_2.5 levels of the 1 year exhibited the highest odds ratio of 1.23 (95% confidence interval: 1.19-1.28) after adjustment. Conclusions: These findings suggest that both short- and long-term exposure to PM is associated with blood pressure elevation.

• The Korean Journal of Pain
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• 제32권2호
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• pp.120-128
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• 2019

Background: We aimed to explore the American College of Rheumatology (ACR) 1990 and 2011 fibromyalgia (FM) classification criteria's items and the components of Fibromyalgia Impact Questionnaire (FIQ) to identify features best discriminating FM features. Finally, we developed a combined FM diagnostic (C-FM) model using the FM's key features. Methods: The means and frequency on tender points (TPs), ACR 2011 components and FIQ items were calculated in the FM and non-FM (osteoarthritis [OA] and non-OA) patients. Then, two-step multiple logistic regression analysis was performed to order these variables according to their maximal statistical contribution in predicting group membership. Partial correlations assessed their unique contribution, and two-group discriminant analysis provided a classification table. Using receiver operator characteristic analyses, we determined the sensitivity and specificity of the final model. Results: A total of 172 patients with FM, 75 with OA and 21 with periarthritis or regional pain syndromes were enrolled. Two steps multiple logistic regression analysis identified 8 key features of FM which accounted for 64.8% of variance associated with FM group membership: lateral epicondyle TP with variance percentages (36.9%), neck pain (14.5%), fatigue (4.7%), insomnia (3%), upper back pain (2.2%), shoulder pain (1.5%), gluteal TP (1.2%), and FIQ fatigue (0.9%). The C-FM model demonstrated a 91.4% correct classification rate, 91.9% for sensitivity and 91.7% for specificity. Conclusions: The C-FM model can accurately detect FM patients among other pain disorders. Re-inclusion of TPs along with saving of FM main symptoms in the C-FM model is a unique feature of this model.