• Proceedings of the KAIS Fall Conference
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• 2009.12a
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• pp.479-483
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• 2009

서론: 최근 음주가 사회적 문제로 더욱 심각하게 인식되고 있는 가운데 우리나라의 음주 소비량은 점점 증가하고 있는 추세이다. 또한 빠른 사회경제적 변화는 새로운 도덕과 가치의 변화를 가져왔으며 알코올 소비량의 증가와 관계가 있다.(양정남, 1998) 특히 결혼 및 배우자 유무는 음주에 중요한 관련 요인이라는 주장이 있음에도(김태수 등, 2003) 실증적인 연구는 미흡한 실정이다. 따라서 본 연구는 결혼 후 배우자 유무와 음주 형태의 관련성을 파악하고 음주 관련 교육 자료로 활용하고자 한다. 연구방법: 연구 대상자는 2005년 국민건강영양조사에서 40대 이상의 남녀 중 결혼 경험이 있는 14,970명 중 음주행태에 관한 설문에 응답한 3,190명이었으며, 결혼 후 배우자의 유무에 따른 고위험 음주 경험 및 다빈도 음주, 음주자제빈도, 고위험음주빈도와의 관련성을 통계 분석하였다. 연구결과: 결혼 후 배우자 유무에 따른 음주 행태의 연구 결과는 다음과 같다. 연구대상자의 일반적 특성은 남자 1,678명(52.6%)이며, 여자 1,512명(47.4%)였다. 연령별로는 65세 미만 2,359명(73.9%), 65세 이상 831명(26.1%)이었다. 결혼상태는 유배우 2,621명(82.2%), 사별 344명(10.8%), 이혼 및 별거 225명(7.1%)이었다. 고위험 음주경험은 한달에 한번 미만 1,883명(59.0%), 한달에 한번 정도 379명(11.9%), 일주일에 한번 이상 928명(29.1%)으로 한달에 한번 미만 고위험 음주를 경험한다가 가장 많았으며, 일주일에 한번이상. 일주일에 한번정도 순으로 고위험 음주를 한다고 응답하였다. 월평균 음주 횟 수에 있어서는 5회 이하 1,149명(36.0), 6회-10회 395명(12.4%), 11회이상 593명(27.7%)이었다. 고위험 음주 경험을 종속변수로 한 로지스틱 회귀분석에서 여자보다 남자가 고위험 음주 경험을 많아 하며, 연령이 증가하면 고위험 음주음 경험이 낮아지며, 교육수준이 높아지면 고위험 음주 경험은 낮아지는 것으로 나타났다. 음주자제 경험 종속변수로 한 로지스틱 회귀분석에서 여자보다 남자가 음주자제 경험을 많아 하며, 연령이 증가하면 음주자제 경험이 낮아지며, 교육수준이 높아지면 음주자제 경험은 낮아지는 것으로 나타났다. 다빈도 음주 경험 종속변수로 한 로지스틱 회귀분석에서 여자보다 남자가 다빈도음주 경험을 많아 하며, 연령이 증가하면 다빈도 음주 경험 높아지며, 가구 평균 소득이 증가 하거나, 교육수준이 높아지면 다빈도 음주 경험은 낮아지는 것으로 나타났다. 논의 및 결론: 결혼 후 배우자 유무와 고위험 음주는 남녀를 합친 전체와 남자에게서 통계적으로 유의하였으며, 음주자제빈도에서는 남녀를 합친 전체에서 통계적으로 유의하였다. 또한 다빈도 음주에서 여자에게서 통계적으로 유의하였다. 이러한 결과는 절주사업 기초자료로 활용될 수 있는 가능성을 확인하였으며, 추가적인 연구의 필요성을 시사하였다.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.5
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• pp.51-59
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• 2021

This study was undertaken to identify factors that influence high-risk drinking among women. Seventh National Health and Nutrition Survey data were used, and 3,453 women aged 19 or older were studied. Subjects were divided into general and high-risk drinking groups according to high-risk drinking rate indicators, and these groups were compared to identify demographic and sociological characteristics, differences in health-related characteristics, and factors associated with high-risk drinking. The data analysis was performed using IBM SPSS 25.0. The analysis showed 8.8% of the cohort were high-risk drinkers, and that rates of high-risk drinking were higher among women in their 20s to 30s, smokers, and those with experience of depression. In particular, smoking, and depression were associated with a 4.5 [(95% confidence interval (CI)=2.804-7.372, p<0.001)] and 7.0-fold [(95% CI=2.918-16.855, p<0.001)] increases in rates of high-risk drinking. In addition, the risk of high-risk drinking was high among 15- to 19-year-olds, which indicates an urgent need to develop and implement drinking education programs for women in adolescence and early adulthood. We expect the results of this study to be used to create health policies and health promotion programs aimed at reducing the high-risk drinking rate among women.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.6
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• pp.321-331
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• 2021

This study sought to analyze factors influencing high-risk drinking in single-person households. For this, data from the 2018 community health survey were used. Subjects were 32,389 adults above the age of 19 in single-person households. For the data analysis, high-risk drinking groups were extracted according to the high-risk drinking rate index of the survey to arrive at influencing factors and differences in health-related and sociodemographic characteristics. The IBM SPSS 25.0 software was used for analysis and a complex sampling design was applied. The results showed that the high-risk drinking rate of Korea's single-person households was 15.0% (male: 25.8%, female: 5.8%) and age, education under high school level, service-industry employees, smokers, people with depression, high blood pressure, and irregular breakfast eaters appeared as common elements for both genders. Stress appeared to only affect males while being diabetic only affected females. High-risk drinking was higher for males in their 30~40s and women in their 20~30s. The younger generation showed the highest numbers in high-risk drinking and factors like stress or depression appeared to be influencing factors for high-risk drinking. Hence, mental health programs along with customized health policies through health forms and lifestyle changes will be required to lower the high-risk drinking rates of single-person households.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.14 no.8
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• pp.3858-3865
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• 2013

This study was performed to examine the impact on the health behaviors of the children by their parents' drinking behaviors. We used the data from a community health survey in 2009. The subjects were selected the household that had a child older than 19, and then among them, chose those 916 parents of highly risky drinking exposition among 16,383 control parents. The collected data was analyzed by frequency, chi-square test, and logistic regression analysis, using SPSS 18.0k program. Parent's high risk drinking behavior was independently associated with children's high risk drinking behavior after adjusting covariates(p<0.01). According to the result of the study, high risk drinking behavior of parents impact highly on the children's high risk alcohol drinking, nutritional behaviors, influenza vaccination, and tooth brushing, so it's necessary to consider a systematic family health education to the high risk drinkers.

• Korea journal of population studies
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• v.26 no.2
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• pp.91-110
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• 2003

This study analyzed data from 1997 Korea's Behavioral Risk Factor Surveillance System Survey collected through telephone questionings based on the multi-stage stratified random sampling. We categorized respondents into those who had ever drunk an alcoholic beverage in the last month and those who didn't and, referring to the World Health Organization's guideline, the former group were further categorized into low risk drinking group and high risk drinking group. Employing bivariate probit regression analyses with censoring on independent variables such as preferred type of alcoholic beverage, the number of types of beverages consumed, age, marital status, education, occupation, residential area, current smoking, body mass index and stress suggested (1) that those who prefer soju are more likely to involve high risk drinking than those who and prefer the other alcoholic beverages (2) that those who are relatively older, who live without a partner, who have jobs, who. are vulnerable to stress, or who enjoy more than one type of beverage are more likely to be exposed to high risk drinking than the others.

• Journal of the Korean Data and Information Science Society
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• v.27 no.4
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• pp.1047-1057
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• 2016

The purpose of this study was to examine if high risk drinkers are different from normal drinkers in terms of drinking motives, drinking refusal self-efficacy, and alcohol outcome expectancy. A total of 139 university male students in D area completed a self-reporting questionnaires to assess general characteristics, drinking motives, drinking refusal self-efficacy, alcohol outcome expectancy, and amount of drinking. The subjects were divided into high risk drinking and normal drinking based on a CDC guideline. The results of study show that high risk drinking group has higher odds for current smoking (adjusted OR=2.95, 95% CI [1.08, 8.05]), psychology major (adjusted OR=3.79, 95% CI [1.05, 13.71]), and enhancement motives (adjusted OR=2.64, 95% CI [1.15, 6.09]), whereas lower odds for junior grade (adjusted OR=0.21, 95% CI [0.05, 0.96]) and drinking refusal self-efficacy in social pressure (adjusted OR=0.42, 95% CI [0.24, 0.73]). The results suggest that drinking educational nursing intervention and smoking cessation program for university students are necessary to prevent high risk drinking effects.

• Journal of the Korean Data and Information Science Society
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• v.28 no.6
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• pp.1337-1348
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• 2017

In this paper, we develop the high-risk drinking predictive model in Korea using the cross-sectional data from Korea Community Health Survey (2014). We perform the logistic regression analysis, the decision tree analysis, and the neural network analysis using the data mining technique. The results of logistic regression analysis showed that men in their forties had a high risk and the risk of office workers and sales workers were high. Especially, current smokers had higher risk of high-risk drinking. Neural network analysis and logistic regression were the most significant in terms of AUROC (area under a receiver operation characteristic curve) among the three models. The high-risk drinking predictive model developed in this study and the selection method of the high-risk intensive drinking group can be the basis for providing more effective health care services such as hazardous drinking prevention education, and improvement of drinking program.

• The Journal of the Korea Contents Association
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• v.15 no.8
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• pp.218-225
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• 2015

The purposes of this paper are to describe relationship between drinking, smoking and negative behaviors especially absenteeism and discipline among police officers in Korea and to identify the correlation among these variables. And ultimate aim of this study is to provide basic information for the health improvement of police officers in Korea.

• Korean Journal of Social Welfare
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• v.67 no.1
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• pp.165-187
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• 2015

This study was designed to examine the influence of social-environment factors on high risk alcohol consumption. The study analyzed 229 local areas throughout Korea. Main variables included high risk alcohol consumption and environment factors such as population structure, liquor stores. For exploring the problem drinking, geographically weighted regression(GWR) using the geographic information system(GIS) was utilized to analysis. Major findings are rate of perceived stress, number of restaurants and bars. Especially problem drinking were influenced restaurants and bars, and the form or aim of restaurants and bars had differentiability to the problem drinking. These results have implication about the regulation policy of alcohol availability for prevention of alcohol related problems.

• Korean Journal of Head & Neck Oncology
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• v.27 no.1
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• pp.17-21
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• 2011

연구 및 목적 : 이번 연구의 목적은 한국인에서 편도 편평세포암종의 발생에 고위험 인간유두종 바이러스(high risk human pap-illomavirus)의 역할 및 관여 인자에 대해 밝히고자 한다. 재료 및 방법 : 연구는 편도 편평상피세포암종으로 진단받은 54명을 대상으로 하였다. 고위험 인간유두종 바이러스의 감염을 알기위해 in situ hybridization 방법을 이용하였다. 고위험 인간유두종 바이러스의 감염과 나이, 성별, 흡연, 음주, 병기, 병리학적 특징 등과의 관계를 분석하였다. 결 과 : 고위험 인간유두종 바이러스의 양성율은 31.5%(17/54)였다. 고위험 인간유두종 바이러스 감염은 젊은 연령(50세 미만), 비흡연자, 림프절 전이와 유의한 상관관계가 있었다(각각 p=0.008, p=0.042, p=0.027). 하지만 성별, 음주, 원발부위 병기, 종양분화도, 피막외침범, 혈관 및 신경 침범과 고위험 인간유두종 바이러스와의 관계는 통계적으로 유의하지 않았다. 6개월 이상 추적 관찰이 가능한 환자를 대상으로 조사한 5년 전체 생존율 및 질병 특이 생존율은 각각 60%와 62%였다. 고위험 인간유두종 바이러스의 양성율은 질병 특이 생존율과 유의한 상관관계가 있었다(p=0.019). 결 론 : 한국인의 고위험 인간유두종 바이러스 감염은 젊은 연령 및 비흡연자의 편도 편평세포암종의 발생에 관련이 있고 예후 인자로 중요한 역할을 한다.