• Title/Summary/Keyword: Drinking amount

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The effect of smoking and drinking habit on the health status of lead workers (흡연과 음주가 연취급 근로자들의 건강수준에 미치는 영향)

  • Lee, Choong-Koo;Kim, Yong-Bae;Lee, Gap-Soo;Hwang, Kyu-Yoon;Kim, Hwa-Sung;Lee, Sung-Soo;Ahn, Kyu-Dong;Lee, Byung-Kook
    • Journal of Preventive Medicine and Public Health
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    • v.31 no.4 s.63
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    • pp.708-718
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    • 1998
  • To investigate the effect of smoking and drinking habit on the health status in lead using industries, 2,785 male workers in lead using industries (7 storage battery industries, 7 secondary smelting and related industries, and 4 primary metal and other manufacturing industries) were selected for this study. This study was carried out as a part of periodic health examination. Selected study variables were zinc protoporphyrin in whole blood (ZPP), SGOT and SGPT for laboratory test. Questionnaire for lead related symptoms and smoking and drinking habit was provided to all the workers and filled up by themselves and reconfirmed by physician. The results obtained were as follows; 1. The overall smoking and drinking rate of study population were 69.8% and 73.6%, respectively. While the smoking and drinking rate of storage battery workers were 68.8% and 72.3%, those of secondary smelting industries and other industries were 66.0% & 66.4% and 74.6 & 80.3% respectively. 2. While the mean values of blood ZPP of lead exposed workers were significantly higher than other group, those of SGOT of storage battery workers were significant higher than other worker. But there were no differences of mean values of other variables. 3. Smoking habit did not affect on the mean value of blood ZPP of workers in special health examination group, but there were significant differences of blood ZPP and SGOT between drinker and non-drinker. 4. Symptom prevalence of lead exposure were higher in drinking and smoking group than non-drinking and non-smoking group. 5. In multiple regression analysis of the total lead related symptoms, blood ZPP, SGOT, and SGPT as dependent variable, respectively, and age, work duration, blood ZPP, pack year and amount of alcohol drinking as independent variables, work duration, pack year, amount of alcohol drinking, age contributed to total symptoms; and age, work duration, pack year contributed to blood ZPP; and age, amount of alcohol drinking, work duration contributed to SGOT; and pack year contributed to SGPT.

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The effects of occupational stress on oral health impact profile (OHIP) in local government workers (지방공무원의 직무스트레스가 구강건강 삶의 질에 미치는 영향)

  • Hong, Min-Hee
    • Journal of Korean society of Dental Hygiene
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    • v.12 no.3
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    • pp.471-483
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    • 2012
  • Objectives : This study looked at the relationship between occupational stress and the Oral Health Impact Profile (OHIP), to evaluate the effect of occupational stress-related factors. Methods : Data was obtained from a cross-sectional survey of 260 local officials in Gangwondo. The research comprised three questions relating to subjective oral symptoms, an occupational stress measurement tool and an oral health impact factor which was composed of questions. The data was analysed using t-test, one-way ANOVA, Pearson correlation and path analysis in Amos. Results : Occupational stress had a positive correlation to drinking frequency, Oral symptoms had a negative correlation. And drinking frequency, smoking amount and occupational stress had a positive correlation to oral symptoms. It denoted that drinking frequency, occupational stress and oral symptoms had a negative correlation to OHIP. The path model had an excellent goodness of fit (p=0.07, namely p>0.05). Five 'goodness-of-fit indices' of the model were all above 0.9: GFI=0.987, AGFI=0.952, NFI=0.902, IFI=0.939, CFI=0.934), and its RMSEA was 0.045. Occupational stress and oral symptoms had a firsthand impact on OHIP. In addition, it affected OHIP through the parameters of oral symptoms. Occupational stress exercised a firsthand influence on drinking frequency, drinking frequency exercised a firsthand influence on smoking amount. Smoking amount had a firsthand impact on oral symptoms. Conclusions: Oral health education programs for the development of an improved oral hygiene environment through reduction in drinking and smoking also need to focus on relieving stress by improving workplace culture. In addition, due to good communication is required to reduce occupational stress caused by interpersonal conflict.

An Analysis of Determinants of Smoking and Drinking of Community people in Rural area (농촌주민의 흡연 및 음주 실태와 이에 영향을 미치는 요인분석)

  • 남철현
    • Korean Journal of Health Education and Promotion
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    • v.6 no.1
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    • pp.48-59
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    • 1989
  • The study was designed. to analyse the factors effecting to smoking and drinking of community people in rural area. The study has been surveyed through interviews by trained college students for 1,846 residents who live in rural area(Eup or Myun office is located)for 20days(from 3rd. to 22M. in August, 1988) The summary and conclusions are as follows. 1. The number of answers on the questionaires was 1846. And the percent of man was 55.7 %(woman 44.3 %). Among age group 20-29 years group with 30.4 % was larger than any other group. Anaverage age of answers was 38.6 years. 2.In the period of residence, 21.5 % of the residents lived within 5 years(This group was larger than any other group). In occupations, workers in agriculture and fishing was more than other job occupants. In education, the percent of high school graduates was 44.0 %(higher than any other group) 3.The smoking rate of rural residents was 41.8 %and man's smoking rate was 76.0 % (woman's smoking rate was 7.6 %). These rates were higher than the rates in 1985 (The smoking rate of nation was 32.0 %). First of all, woman's smoking rate increased rapidly 4.As for smoking amount, in male 52.8% of smokers smoked a cigarette case (20 cigarettes) in a day, and 16.9 % of smokers smoked more than one cigarette case. In female 42.5 % of woman smokers smoked a half case in a day and the rate of non-smokers diminished to 77.8 % 5.The rate of non-smokers in 21-29 years group was higher than any other group and a smoking rate increased as an age increased. However, a smoking amount decreased as an age increased. This suggests that people are more concerning about their health as their ages increase.. 6.The smoking rate of college graduates was 58.8 %(higher than any other group) and in a smoking amount 36.4 % of college graduates, 29.8 % of high school graduates smoked more than a cigarette case in a day. This shows that people in a higher education group smoke more than those in other groups. 7.As for non-smoking rate, students, service job workers, company employees, and teachers was 54.1%, 43.4%. 40.1% and 39.5%. respectively. As for smoking rate, workers in agriculture and fishing was the highest level of all job employees. Public officers smoked less than the workers in agriculture and the smoking rate of teachers was less than that of public officers. with regard to smoking amount. above one cigarette case in a day was 39.9 % in public officers, 39.2 % workers in agriculture and fishing, 37.9 % in businessmen, 34.2 % in teachers, 31.9 % in service job employees and 31.6 % in a company employees. 8.The variables which had an effect on smoking were sex (B=.1701), job(B=.1688), education(B=.1671), age(B=.1125). These variables were significant in P<0.05 statistically. Explanatory variance level was 19% 9.The drinking rate of community residents was 61.8% and man's drinking rate was 81.7%(woman's drinking rate was 38.9%). As drinking rate 18.0%(the highest rate) of man drinkers drank 3 bottles of beer in a general drinking and 12.1% of them drank more than 10 bottles. 12.1% (the highest rate)of woman drinkers drank 2 cups of beer. The rising rate of woman's drinking of alcohol was remarkable. 10.Each non-drinking rate of age groups was 27.6% (in 20-30 years group), 28.0% (in 30-39 years group), 28.9%(in 40-49 years group) and 32,6%(in 50-59 years group), 10,7%(the highest rate) of 20-29 and 30-39 years groups drank above 3 bottles. 7.5% of 20-29 years group and 7.7% of 30-39 years group drank above 10 bottles. In 40-49 years group, 14.4 % of them drank a bottle and 8.1% of them drank above 10 bottles. In 50-59years group, 14,2% of them drank 2 bottles and 5.3 % of them drank above 10 bottles. This shows that a drinking rate decresed as an age increased. 11.Non-drinking rate was higher as an education level was lower. Each non-drinking rate of non-educated group, elementary school group, middle school group and high school group was 41.0 % of high school graduates and 14.5 % of college graduates drank 3 bottles of beer. 9.7 %(the highest rate) of college graduates drank above 10 bottles, in general drinking. 12.Each non-drinking rate of businessmen, farmers, service job workers, and students was 31.3%, 28.2%, 26.8% and 25.9%. However, Each drinking rate of public officers, company employees and teachers was 73.3 %, 72.2 % and 68.4 %. This tells us that the drinking rate of mental workers is higher than that of physical workers. 14.9 % of farmers and 14.4 % of public officers drank 3 bottles at a time. 10.5 % of teachers and 9.9 % of public officers drank above 10 bottles. 13.The variables which affect on drinking were sex(B=.1545), education(B=.1476), job(B=.1064), and age(B=.1052). These variables were significant in the level of 0.05 % and explanatory variance level was 18 %. 14.Government have to educate people and demonstrate the health hazards caused by smoking and over-drinking. Especially, No-smoking campaign for woman and education not to over drink for professional job workers are necessary.

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The Study on the Factors which are Related to Body Mass Index in Male (남성 체질량지수와 관련된 요인에 대한 임상적 연구)

  • Kim, Sung-Ho;Yook, Tae-Han;Song, Beom-Yong
    • Journal of Acupuncture Research
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    • v.26 no.3
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    • pp.93-101
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    • 2009
  • Objectives : This study was conducted to know how different Body mass index(BMI) were, according to age group, drinking, amount of smoking, fast blood sugar. Methods: We measured the Body mass index(BMI) in 5573 male, using Inbody 2.0(Biospace Co. Ltd, Korea), and then we analysed the 4 factors - age group, amount of drinking, smoking, fast blood sugar - which are related to BMI of male. Results: 1. BMI according to age group increased from -30 years group at the lowest to 41-50 years group at the highest and decreased after 51-60 years. 2. BMI according to amount of drinking increased from Nondrinker group(men who don't drink) years at the lowest to Drinker IT group(men who drink more than 4 bottles of Soju(360ml, 21%, distilled liquor) for a week) at the highest. 3. BMI according to amount of smoking increased from Smoker I group(men who smoke 1-10 pieces for a day) at the lowest to Smoker N group(men who smoke more than 31 pieces for a day) at the highest except Nonsmoker group(men who don't smoke). 4. BMI of group that not exceed 110mg/d${\ell}$ in fast blood sugar was lower in the group that exceed 110 mg/d${\ell}$ in fast blood sugar. Conclusions: We analysed the 4 factors - age group, amount of drinking, smoking, fast blood sugar - which are related to BMI of male.

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Alcohol Consumption and Drink-Related Behavior of Male University Students in Daegu: A Comparison of 1999 and 2009 (대구지역 남자 대학생의 음주 실태와 음주 행동에 관한 연구: 1999년과 2009년 비교)

  • Kim, Jong-Gyu;Kim, Joong-Soon
    • Korean Journal of Human Ecology
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    • v.19 no.3
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    • pp.577-588
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    • 2010
  • This study was conducted to investigate the changes in alcohol consumption of male university students in Daegu, Korea and their drink-related behavior. The study focused on these changes over a decade using self-administered questionnaire surveys and health examinations that were carried out at a university campus in 1999 and in 2009. In both years more than 85% of students responded that they drank alcohol. However, significant increases in the frequency and amount of alcohol consumption were found (p<.001). The main influence on students' drinking behavior was friends/peers in both years. The most frequently preferred alcohol of respondents was so-ju (a traditional Korean liquor) in both years. However, the most frequently preferred type of food to accompany drinking had significantly changed (p<.01). Other changes including the increase of drinking speed and smoking during drinking were found to have significantly changed (p<.05) while significant difference regarding the decrease in food intake during drinking was not found. No significant difference in the amount of alcohol consumed was noted between underage drinkers and drinkers of above the legal drinking age. Heavy drinkers in the 2009 population had significantly higher systolic blood pressure than non-drinkers and moderate drinkers (p<.01). This study also indicates that there may be a rise in heavy drinking and/or binge drinking among drinkers including underage students. The results of this study suggest that alcohol-blood pressure associations are considered to be of concern even in young adults. This study also suggests the need for special alcohol prevention programs or campaigns to intervene in the behavior of students.

Relationship between Drinking Behavior and Drinking Drive among Koreans (음주행태와 음주운전에 관한 관련성 분석)

  • Park Young-Mi;Kim Kwang-Kee;Kim Hyeon-Suk
    • Korean Journal of Health Education and Promotion
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    • v.23 no.1
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    • pp.45-61
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    • 2006
  • Objective: Drinking drive is a nationally recognized social problem. This research aimed to describe the relationship between drinking behavior and drinking drive based on the social demographic characteristics. Methods: This paper used secondary data for analyses which was derived from the national representative samples of adults; National Health and Nutrition Surveys by Korea Institute for Health and Social Affairs in 1998 and 2001. For data analyses, univariate analysis, Chi-square test and logistic regression analysis were adopted for the samples of male adults who were driving and 20 years old and more. Results: The prevalence of drinking drive varied significantly among socio-demographic characteristics. The year prevalence rates of drinking drive were 29.1% in 1998 and 16.4% in 2001. In the rates of drinking drive, males were higher than those of females in both years. By age, twenties to thirties showed the highest ratio of drinking drive(odd ratio=18.8), compared with the sixties. Related to the occupation, the persons who were engaging in farming and fishery showed the highest ratio(odd ratio=3.73) of drinking drive in comparison to the unemployed. Conclusions: People who drink alcohol frequently tended to have more experiences of drinking drive. In addition, the drivers who drink more amount of alcohol drinking were significantly associated with higher rates of drinking drive, as well. Strategy based on the socio-demographic characteristics may provide a promising prevention of reducing drinking drive. Community-based efforts, education, self-awareness and public-awareness to address drinking and drinking drive problems are effective in reducing drinking drive. Enacting comprehensive regulations which control drinking drive can reduce both alcohol use and drinking drive.

Effects of Job Stress and Drinking Motivations on the Drinking Behavior of Korea's Mentally Challenged in Sheltered Employment (보호고용 정신지체인의 직무스트레스와 음주동기가 음주행위에 미치는 영향)

  • Bae, Kyung-Hee;Kim, Yu-Soon
    • Korean Journal of Social Welfare
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    • v.56 no.4
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    • pp.35-55
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    • 2004
  • Effects of job stress and drinking motivations on the drinking behavior of Korea's mentally challenged in sheltered employment. The purpose of this article was to investigate job stress, drinking motivations, and factors influencing the drinking behavior of Korea's mentally challenged. The 97 subjects' average job stress level was slightly below average. The subjects were found to experience salary-related stress the most out of the five sub-areas of job stress. The strongest motivations of drinking was the social motivation. In terms of drinking behavior, the most common drinking frequency was 3-4 times a year. The most common drinking amount was two 500cc mugs of beer. The significant predictors to explain the variance of the frequency of drinking was motivations to cope with, age, and salary-related stress. The mentally challenged drink more often when they have coping motivations and salary-related stress, and when they are younger. The significant predictors to explain the variance of the amount of drinking was motivations to emotional uplifting, drinking colleagues, stress from role overload. The mentally challenged drink more when they have motivations to emotionally uplift themselves and less role overload-related stress and as they drink alone.

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Factors Influencing Drinking of Employees: Focus on the White Collar Employees (직장인의 음주에 영향을 미치는 요인에 관한 연구: 사무직 직장인을 중심으로)

  • Kweon, Gu-Young
    • Korean Journal of Social Welfare
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    • v.57 no.2
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    • pp.93-118
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    • 2005
  • This research examined influence of job stress and drinking subculture on the drinking of white collar employees. The results are as follows: First, there are a higher percentage of population among white collar employees who hold drinking problems in terms of frequency of drinking, amount of drinking, frequency of binge drinking comparing with general populace. The results of research revealed that drinking problems of white collar employees is quite close to dangerous level. Second, job stress didn't display a consistent relationship with drinking and drinking problem, however, drinking subculture revealed that it was related with drinking and drinking problem exhibiting significant influence. And, the results of research didn't support tension reduction hypothesis, and it was identified that social learning theory is main factor that will explain drinking and drinking problem of white collar employees. Therefore, researcher suggested as follow; First, practitioners and researchers exert their efforts for studying about drinking in the relationship to white collar employees. They should also have more interests in the topic from a practical perspective. Second, suggest that EAPs be introduced in order to prevent white collar employees from drinking problem and to promote increase of entire welfare. Third, suggest that succeeding research endeavors be required, which shall embrace all of white & blue collar employees.

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WATER DRINKING BEHAVIOUR OF STEERS FED EITHER FRESH CUT FORAGE OR FIRST CUT HAY

  • Sekine, J.;Morita, Z.;Oura, R.;Asahida, Y.
    • Asian-Australasian Journal of Animal Sciences
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    • v.1 no.3
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    • pp.157-161
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    • 1988
  • To study the effect of moisture content of the diet on drinking behaviour and the amount of water drunk, observations were made on 8 Holstein steers fed either fresh cut forage or first cut hay. The observations were made in a barn with a mean temperature of about $13^{\circ}C$. Drinking occurred mainly within 3 hours after feeding for the steers fed hay, while those fed soilage drank casually. Frequency of drinking (F) was related to the dry-matter concentration (DMC, %) of herbage: F = 0.47 (${\pm}0.09$) DMC - 6.5, $SE={\pm}0.4$, r = 0.86, P<0.01. Intake of drinking water for each 100 kg of live weight (IDW/100kg) for steers fed soilage was related to the dry-matter concentration: IDW/100kg = 0.55 (${\pm}0.06$) DMC - 8.7, $SE={\pm}0.3$, r = 0.94, P<0.01. The intake of water in each drinking period for animals fed fresh forage was curvilinearly related to the drinking frequency; for the hay-fed steers there was a negative linear relationship. When the drinking frequency for steers fed the fresh forage increased to the same as that observed for the hay, water intake in each drinking period was the same as found for the hay-fed steers.

Study on the Status of Beverage Consumption of Middle and High School Students (중고생학생의 음료 섭취 실태에 관한 연구 -대전지역을 중심으로-)

  • 김복자
    • Journal of the Korean Home Economics Association
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    • v.27 no.3
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    • pp.79-87
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    • 1989
  • As the level of life improves, the pattern of beverage comsumption are being changed. We came to drink more beverage than ever before, and I think, the remarkable increase of beverage consumption will have a great effect on our health. We examined the drinking pattern of 447 middle school and high school students in Taejeon City from 24 to 29, May, 1989. We studied about the amount of drinking beverage and the correlation between the amount and the various factors to have effects on the amount. They usually drink total 604.6ml/day, water 292.8ml, soft drink 131.8ml, milk 109.2ml, fruit juice 26.1ml, vegetable juice 9.6ml, coffee & tea 21.7ml, korean tea 15.4ml. Beside, middle school students drink 654.4ml and high school students drink 560.7ml. The male drink 620.1ml and the female drink 589.2ml. The average amount of beverage consumption per a unit weight is total 13.3ml and middle school students (654.3ml) drink more than high school students (560.7ml) but the average amount is same between the male and the female. They usually drink 343.5ml of beverage at their homes, and they drink more at their homes than away from homes. In addition, at the correlation between the amount of drinking beverage and the various factor to have effects on the amount, the students who have snacks very often drink more than those who don't. And the students who like meat-diet drink much more than meat & vagetabe-diet persons and vegetorians. And the students who eat pread often drink more than those who have rice at every mealtime.

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