Objectives: This study is designed to report the correlation between Body Mass Index(BMI), Heart Rate Variability(HRV), stess, drinking alcohol, coffee and smoking. Methods: From 1st January 2010 to 31st December 2012, We tested on 458 patients who hospitalized in Cheong Yeon Korean Medicine Hospital for reducing their weights, then we collected the statistical analysis with the result of their HRV and the special survey. Results: This experiment was studied on total 458 patients, 27 were men and 431 were women. The average of the age of men was $28.23{\pm}4.22$ and $24.31{\pm}385$ was women. There were significant differences in BMI, Low frequency(LF), High frequency(HF), stress score, frequency of drinking alcohol, smoking and drinking coffee followed by their ages. When we looked at the correlation between obesity with smoking and drinking coffee, we can see that the BMI increased, the frequency of drinking alcohol was decreased, however there were no statistic correlation in smoking and drinking coffee with BMI. Conclusions: With the result of HRV, we can suggest the BMI and stress score are correlated each other but we need further studies about passive stress relief by taking favourite food such as drinking alcohol, smoking, drinking coffee, etc.
Journal of the Korea Academia-Industrial cooperation Society
/
v.17
no.9
/
pp.221-227
/
2016
The purpose of this study is to investigate the effect of social factors and social stress with respect to alcohol consumption for university students and to provide basic data in efforts to develop educational method that teaches how to decrease alcohol consumption and deny demanding drinking. Questions concerning typical features and social stress from drinking were revised through 300 university students' self-recording surveys between April 8 and 9 in 2015. It consisted of 10 questions using a 4-point Likert scale. Moreover, the reliability of tool was Cronbach ${\alpha}=.82$. We used SPSS 18.0 and conducted frequency, ${\chi}^2$ and path analysis. If the frequency of drinking (B=.206, p<.001) gets low and the social stress from drinking is low (B=-.397, p<.001), the amount of drinking increases, particularly for men more than women (B=.169, p<.05). For women more than men (B=.274, p<.01), if monthly income is high (B=.178, p<.05) and stress from drinking is low (B=-.349, p<.01), the frequency of drinking is high. If the culture of practice in drinking has not formed voluntarily through education or publication, legal restriction that increases the cost of drinking has to be established, like smoking, to reduce the volume of drinking and promote moderation in drinking. The publication and education that teaches drinking leads to bad situations have to be conducted, much like the education programs involved for smoking. Also, discrimination of non-drinker has to be removed with the change of culture to reduce the stress by drinking.
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.
This study was performed to investigate the effects of alcohol drinking frequency and foods consumed along with alcohol on anthropometry, serum lipid levels, and blood pressures in 73 male type 2 diabetic patients aged 30-59 years old. Dietary data for usual intake were obtained from the subjects by the 3-day food records. Separate data for foods consumed along with alcohol as accompaniment were collected and analyzed for energy and nutrient intakes. Both alcohol drinking frequency and/or the amount of energy consumed from accompaniment influenced clinical data as well as anthropometric measurements. The serum total- and HDL-cholesterol, triglyceride levels and systolic blood pressure were significantly higher in the group with a drinking frequency of ${\geq}$ 2/week than that of ${\leq}$ 1/week and also in the group whose daily energy intake from accompaniment was greater than the median (106.6 kcal/d) than that below the median. When the data were adjusted for age, amount of energy intake from alcohol and diet, the anothropometric measurements such as body weight, BMI, waist circumference were significantly higher in patients whose energy intake from accompaniment was greater than the median than that below the median. The results of our study suggest that both alcohol drinking frequency and the energy intake from foods consumed along with alcohol as accompanements are important contributing factors to clinical and anthropometric parameters whose associations with the cardiovascular complications are well established in patients with diabetes mellitus.
The objective of this study was to examine alcohol consumption rates and the perception of drinking cultures among college students in the Wonju area. An examination of factors such as frequency of drinking, average quantity consumed, and frequency of heavy drinking suggested that the drinking rates were relatively high. Over 70% of subjects drank at least once a week, 66.2% typically drank more than 5 servings at a time, and 19.2% of males and 13.0% of females were heavy drinkers. It was revealed from an AUDIT (Alcohol Use Disorder Identification Test) assessment that 71.3% of the subjects tested had various levels of alcohol-related problems. These problems were more severe in subjects that were male, selfboarding, or overweight. Alcohol related knowledge was not high because the subjects didn't know or incorrectly recognized some contents such as blood alcohol concentration, the energy content of alcohol, and the empty caloric characteristics of alcohol. Generally male, self-boarding, and overweight persons were not critical of the undesirable characteristics associated with drinking culture. Two opinions that were generally considered to be permissible were: 'Men should be able to drink' and 'Drinking is essential for a smooth human relationship'.
The purpose of the study is to investigate the characteristics of the subjects and analyze and confirm the association between related factors in order to study the factors affecting drinking level after COVID-19 using data from the Korea Labor and Income Panel(2018-2020). The result of the study indicated that male group, 10s and 20s, unemployed status, and groups whose personal income fell before COVID-19 have a high risk of increased drinking levels. n particular, in the group where the frequency of drinking before COVID-19 decreased, the risk of increasing the level of drinking after COVID-19 was found to be higher. Further research is needed on this group of subjects. Based on this, various studies on drinking factors are needed through long-term monitoring studies on drinking levels after COVID-19.
This study was conducted on wine consumers to explore their behavioral characteristics concerning their drinking frequency of wine, wine selection factors, and difficulties in selecting wines. Data were collected during February 19th 2014 to April 20th 2014. Respondents were students who were taking classes about wine at a University located in the Gyeonggi-do area. Prior to the analysis, wine consumers were classified based on frequency of consumption: those who consumed wine less than once a month were classified as "Tell me consumers", whereas those who consumed wine once or more a month were classified as "Engage me consumers." The wine selection factors of the two groups were as follows: 'label aspect', 'taste and aroma', 'use purpose', and 'price and recommendation'. Regarding 'label aspect' and 'use purpose', there were significant differences between the two groups. Regarding difficulties in selecting wines, "Tell me consumers" mentioned the following: 'experience', 'price', and 'food pairing'. "Engage me consumers" mentioned the following: 'ability to identify new wines' and 'tastes of others who drink with or oneself'. Classifying domestic wine consumers and their behavioral features of drinking frequency of wine can be used for market segmentation of wine consumers.
The purposes of this study are to estimate the stress level of university students, and to verify the relationships between stress level and drinking behavior. A questionnaire survey was administered to 430 university students in the Gangwon area in Korea from November 5 to November 28, 2008, and data from 391 students were used for the final statistical analysis. The most stressful factor was "Worry about academic achievements" (2.86 by Likert-type 4 point scale). The subjects were divided into two groups, a low stress group (${\leq}65.0$) and a high stress group (${\geq}66.0$), by the mean value (65.1) and median value (66.0) of the stress levels. The drinking frequency was not different between the two stress groups, but the amount of alcohol consumption was significantly different ($P$ < 0.05). The portion of students reporting drinking "7 glasses or over" was higher in the lower stress group than in the higher stress group. In addition, factor 6, "Lack of learning ability", was negatively correlated with drinking frequency and the amount of alcohol consumption ($P$ < 0.05), and factor 3, "Worry about academic achievements", was negatively correlated with the amount of drinking ($P$ < 0.05). The major motive for drinking was "When overjoyed or there is something to celebrate" (2.62), and the main expected effect of drinking was "Drinking enables me to get together with people and shape my sociability" (2.73). The higher stress group showed significantly higher scores on several items in the categories of motives ($P$ < 0.01), negative experience ($P$ < 0.05), and expected effects ($P$ < 0.05) of drinking than the lower stress group. Our results imply that university students at the lower stress level may drink more from social motives in positive drinking environments, while those at the higher stress level may have more problematic-drinking despite their smaller amount of alcohol consumption.
This study tried to confirm the effective intervention to reduce drinking frequency and problem behaviors among the three interventions; school based, feedback, and behavior change. Meta-analysis was conducted targeting at 16 studies of randomized controlled trial in which alcohol intervention has been applied to adolescent. The drinking frequency and problem behaviors were analyzed by follow up period. There was a significant difference in the feedback intervention to reduce the frequency of drinking under 3 months of follow up period. Also, there was a significant difference in the feedback intervention to reduce the problematic behaviors of drinking between 4 and 12 months of follow up period(p<.05). The study confirmed that feedback intervention is effective in reducing the frequency of drinking during the follow up period under 3 months, and it is effective in reducing the problem behaviors of drinking during the 4~12 months of follow up period. Also, the study confirmed that school-based intervention and feedback intervention were useful in reducing and preventing harmful effects of drinking by adolescents.
Purpose: This study was conducted to investigate the combined effects of abdominal obesity and alcohol drinking on the risk of hypertension in Korean adults (aged ${\geq}30yrs$). Methods: Data of 13,885 subjects from the sixth Korea National Health and Nutrition Examination Survey were analyzed. The multiple logistic regression tests were used for the analysis, including potential covariates of the model. Results: Frequency of drinking, typical drinking quantity, and frequency of binge drinking had a positive relation to hypertension. The odds ratio of hypertension for risk drinkers with abdominal obesity was 4.81 compared to non-risk drinkers with normal waist circumstance, whereas the odds ratios of hypertension for risk drinkers with normal waist circumstance and non-risk drinkers with abdominal obesity were 1.58 and 2.37 respectively. Conclusion: Both abdominal obesity and alcohol drinking patterns were strong risk factors of hypertension in the Korean adults. Risk drinkers with abdominal obesity showed a marked high risk in hypertension compared to those with a single condition alone.
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