• Journal of the Korean Society of Food Science and Nutrition
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• v.44 no.2
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• pp.226-233
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• 2015

The purpose of this study was to evaluate salt-related dietary attitudes, behaviors, and nutrition knowledge according to urinary salt signal of university students. Based on urinary salt signal, we classified subjects into an "adequate Na intake (ANI)" group (n=52) (salt ${\leq}6g$) and "excess Na intake (ENI)" group (n=66) (salt >6 g). Subjects were asked about general characteristics, lifestyle, salt-related dietary attitudes, behaviors, and nutritional knowledge using questionnaire. The ENI group had more subjects who were drinkers (P<0.05) compared to the ANI group. The ENI group (33.45) showed a significantly lower score in terms of salt-related dietary attitudes compared to the ANI group (35.50) (P<0.05). There was no significant difference in the total score of salt-related dietary behavior between the groups. The score of nutrition knowledge was significantly higher in the ANI (9.77) group than in the ENI (8.82) group (P<0.05). The correlation analysis indicated that the urinary salt signal had a negative correlation with the salt-related dietary attitude score after adjustments for age, sex, and body mass index (r=-0.2100, P<0.05). These results support the validity of using the urinary salt signal to simplify estimation of sodium intake.

• Journal of the Korean Society of Food Science and Nutrition
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• v.33 no.8
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• pp.1327-1336
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• 2004

This study was conducted to compare nutrient intakes regarding stages of change in dietary fat reduction behavior. Subjects were consisted of healthy 383 college students (250 females and 133 males) in Gyeonggi-Do. Stages of change classified by an algorithm based on 6 items were designed each subjects into one of the 5 stages: precontemplation (PC), contemplation (CO), preparation (PR), action (AC), maintenance (MA). Nutrient intakes were assessed by 24-hr recall method. Regarding the 5 stages of changes, PR stage comprised the largest group (31.1%), followed by AC (28.7%), PC (19.3%), CO (13.8%), MA (7.1%). Female were more belong to either AC or MA. Those in PC and PR had the most energy, fat, saturated fatty acid and cholesterol (except male) and those in AC and MA had the least. These dietary patterns were more distinctive in female than in male. The higher stage of change in dietary fat reduction behavior, the higher self-efficacy. Energy % from fat in PC, CO, PR was too higher than 20%, that of in AC and MA (except male in MA) was within 20%. The average P/S and $\omega$6/$\omega$3 ratio of diet fat for female were similar to the recommended ratio, but the average $\omega$6/$\omega$3 ratio for male was found to be 10.1～12.9, which was beyond the suggested range, 4～10. In male, energy, fat and protein intakes from dinner were significantly different among stages of change, but in female, besides dinner, those from breakfast, lunch and snack were significantly different among stages of change. These results of our study confirm differences in stages of change in fat intake in terms of nutritional status, especially in female, and indicate the need for taking these phases of changes into account in nutrition advice.

• Sleep Medicine and Psychophysiology
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• v.9 no.1
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• pp.48-55
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• 2002

Objective: Stress is known to be a common cause of short-term insomnia and insomniacs often complain that stress induces sleep problems. However, previous studies on the correlation between stress and sleep do not show consistent results. We aimed to investigate the effects of minor stressful events on sleep among college students. Method: Physically and mentally healthy college student volunteers filled out a self-assessment questionnaire to evaluate their stress and sleep. To find out the status of average stress and sleep, the volunteers filled out K-DSI and daily sleep assessments on three consecutive days. In addition, we surveyed the amount of caffeine beverage intake and assessed the degree of depression and anxiety. Results: The total number of students participating in this study was 202, 101 men and 101 women. Minor stress turned out to significantly affect non-restorative sleep and secondary symptoms of insomnia (awakening difficulty, displeasure, feeling of dissatisfaction with sleep, physical uneasiness or pain at awakening, daytime sleepiness, depressive moods, tiredness and concentration difficulty). However, global PSQI score, self-reported sleeping hours, sleep latency, awakening frequency, frequency and duration of napping, were not explained by stress scores. Conclusion: In this study, minor stresses seemed to affect sleep, especially secondary symptoms caused by non-restorative sleep. We can thus infer that minor stresses impair the restorative effects of sleep by inducing arousal, and the direct relationship the two can be confirmed by polysomnogram.

• The Korean Journal of Food And Nutrition
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• v.19 no.1
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• pp.79-90
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• 2006

This study was performed to investigate the dietary behaviors and food intake patterns of university students according to the obesity index(OI). The subjects were 349 students(107 males and 242 females) who were assigned to one of the following groups based on the percentage of ideal body weight: underweight(OI< 90%), normal ($90%{\leq}Ol<10%$) and overweight($OI{\geq}110%$). The dietary behaviors and food intake patterns were evaluated by questionnaires and 24 hour recall method. The results were summarized as follows. The rates of underweight, normal, and overweight students were 33.8%, 61.0%, and 5.2% respectively. The ratios of underweight was higher than overweight, especially in case of female. The 60.46% of subjects responded that they had an irregular eating habits, especially in overweight group(72.22%). The 52.44% of subjects showed skipping mealtime more than one time per day. The overweight group had a tendency to overeat themselves than other groups. The normal group had less unbalanced dietary pattern than the other groups(p<0.0019). Most subjects had a snack(96.27%). The percentage of those who drank and smoked were 86.74% and 19.54%, respectively. The smoking value was significantly higher in the overweight group(p<0.0009). The food consumption frequency by food groups was not different among the groups except instant and fast food. More than 50% subjects consumed fish, legumes & its products, and vegetables everyday. There was significantly less rate of the instant and fast food consumption frequency in the normal group(p<0.0177). The 3/4 subjects that showed the lower consumed level in RDA(< 75%) were under-nutritional state in the Fe and Ca. In case of Ca, there was a higher NAR value in the overweight group(p<0.0257) significantly, and Fe, protein, vitamin $B_1$, vitamin $B_2$, and niacin showed similar tendencies. The INQ of Fe was significantly higher in the overweight group than other groups(p<0.0335).

• Journal of Nutrition and Health
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• v.50 no.3
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• pp.270-283
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• 2017

Purpose: This study was conducted to examine coffee consumption behaviors, dietary habits, and nutrient intakes by coffee intake amount among university students. Methods: Questionnaires were distributed to 300 university students randomly selected in Gongju. Dietary survey was administered during two weekdays by the food record method. Results: Subjects were divided into three groups: NCG (non-coffee group), LCG (low coffee group, 1~2 cups/d), and HCG (high coffee group, 3 cups/d) by coffee intake amount and subjects' distribution. Coffee intake frequency was significantly greater in the HCG compared to the LCG (p < 0.001). The HCG was more likely to intake dripped coffee with or without milk and/or sugar than the LCG (p < 0.05). More than 80% of coffee drinkers chose their favorite coffee or accompanying snacks regardless of energy content. More than 75% of coffee takers did not eat accompanying snacks instead of meals, and the HCG ate them more frequently than LCG (p < 0.05). Breakfast skipping rate was high while vegetable and fruit intakes were very low in most subjects. Subjects who drank carbonated drinks, sweet beverages, or alcohol were significantly greater in number in the LCG and HCG than in the NCG (p < 0.01). Energy intakes from coffee were $0.88{\pm}5.62kcal/d$ and $7.07{\pm}16.93kcal/d$ for the LCG and HCG. For total subjects, daily mean dietary energy intake was low at less than 72% of estimated energy requirement. Levels of vitamin C and calcium were lower than the estimated average requirements while that of vitamin D was low (24~34% of adequate intake). There was no difference in nutrient intakes by coffee intake amount, except protein, vitamin A, and niacin. Conclusion: Coffee intake amount did not affect dietary nutrient intakes. Dietary habits were poor,and most nutrient intakes were lower than recommend levels. High intakes of coffee seemed to be related with high consumption of sweet beverages and alcohol. Therefore, it is necessary to improve nutritional intakes and encourage proper water intake habits, including coffee intake, for improved nutritional status of subjects.

• The Korean Journal of Physiology
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• v.20 no.1
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• pp.65-77
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• 1986

To elucidate the effect of exercise on blood concentrations of ethanol, lactate and glucose in men who show facial flush after ethanol ingestion, 59 healthy male college students were studied. After 6 or more hours of fasting, the subjects were administered 3 ml of 25% ethanol solution(Soju) per liter of total body water. For control experiment Soju was replaced with the same dose of water. Exercise performed was vertical jumping on a rebounder for 3 min immediately after drinking. The subjects were classified into 6 groups: water ingestion(W), flushed (F) and non-flushed (N) groups after ethanol ingestion, water ingestion and exercise(WE), flushed(FE) and non-flushed (NE) groups after ethanol ingestion and exercise. Blood ethanol concentration in the exercise groups(NE, FE) was lower until 60 min after drinking than that in the non-exercise groups(N,F). Factor k representing the rate of ethanol absorption was markedly lower in the exercise groups than in the non-exercise groups. The flushed groups(F,FE) showed higher blood ethanol level than the non-flushed groups (N,NE) from 30 to 120 min after drinking. Blood lactate concentration in WE group was elevated immediately after exercise and returned to the resting level at 60 min after exercise. Ethanol increased blood lactate level from 30 to 120 min after ethanol drinking, Exercise after ethanol ingestion produced a sharp increase and then drop in blood lactate level which was stilled significantly higher than the resting level all the way through 120 min. Blood glucose concentration was decreased at 15 min after exercise. Ethanol-administered groups except F group showed a steady decrease in blood glucose level from 30 through 120 min. Heart rate was elevated by ethanol only in the flushed groups. Heart rate in F group was significantly increased at 4 min after ethanol and was maintained at high level until 120 min. In WE and NE groups, heart rate was significantly increased immediately after exercise and returned to the resting level at 60 min. The FE group, however, showed a consistently elevated heart rate throughout the 120-min experimental period. Taken together, the exercise alone produced a delayed ethanol absorption, a prompt increase in heart rate and blood lactate level and a decrease in blood glucose level early in the recovery period from exercise. After ethanol administration, blood lactate was elevated and blood glucose was lowered from 30 to 120 min. Flushed subjects showed rapid increase in heart rate after ethanol drinking and higher blood ethanol level than non-flushed ones from 30 to 120 min after drinking.

• The Journal of Korean Society for School & Community Health Education
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• v.9 no.1
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• pp.143-156
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• 2008

Objectives: This study was performed to examine the effective health education measures and health education programs for college students and also investigated the demands of restriction on drinking and smoking behavior in public area at the school level. Methods: The data were collected from 446 students of five universities located in Seoul and analyzed with SPSS WIN 10.0 program. Results: 1) Current drinkers were average 87.7% (male 90.1%, female 85.3%) and binge drinker was 68.4% (male 76.5%, female 60.2%). Among all drinkers, 19.4% drank more than eight times per month. As for the rate of smoking, 50.9% among the male student, and 12.1% among females were smokers. Among all smokers. the largest group (41.5%) smoked between >$11{\sim}20$ cigarettes per day. Many of the students started smoking in their middle schools (male 29.8%, female 51.5%). It implies that smoking prevention programs need to be emphasized in these schools. 2) The analysis of the correlation between drinking and smoking shows that no smoking students who drank were 66.2%, but abstainer who is smoker were only 5.7%(p=0.004). Alcohol consumption frequency and amount of smokers were higher than those of nonsmokers (p=0.000). The rate of attempts to reduce drinking was 38.1%, mainly for health reason. More than 34.5% of smoking student had made attempts to quit smoking, but succeeded only 16.9%. 3) As for the needs of moderate drinking and smoking cessation education, 67.8% among female students and 53.6% among male demand special education programs. About effective health education measures on drinking and smoking, 49.3% of drinkers and 35.2% of smokers had an inclination for health educator, and the next were video, campaign and pamphlet. 4) The largest group (45.0%) of respondents had agreed to regulate on drinking behavior, and especially 74.5% of them wants to ban the practice in most public area in school. 35.7% among female students and 27.0% among male desired to extend the non-smoking area on whole campus. The health policy for college students, through various ways, such as education, counseling service, and special program on orientation, should be employed. For public health perspectives, university and college community had to institute the detailed enforcement regulation on drinking and smoking.

• Journal of dental hygiene science
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• v.15 no.4
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• pp.413-418
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• 2015

Recent cross-sectional studies indicate that obesity is a risk factor for periodontal disease. This study was aimed to investigate whether the four-week weight control program including caloric restriction and exercise training could have an effect on periodontal health. Forty-one obese (body mass index [BMI] ${\geq}25.0$) and five overweight ($23.0{\leq}BMI<25.0$) students participated in the weight control program. Anthropometric data and oral examination data were collected at the baseline and at the 27th day. BMI, waist hip ratio (WHR), and percent of body fat (PBF) of the subjects decreased significantly, but gingival index, sites with bleeding on probing (BOP), and sites with shallow pocket depth didn't show the significant changes in paired t-test. There was no difference in the outcomes according to smoking, drinking alcohol, and sex. Nevertheless, PBF and sites with BOP (r=0.777) and WHR and sites with shallow pocket depth (r=0.444) showed positive correlations. PBF accounted for 58.9% of the variance in sites of BOP in regression analysis. We suggested that obesity might relate with periodontal health, although it was not clear whether weight control could influence on periodontal health directly.

• Health Policy and Management
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• v.29 no.1
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• pp.58-67
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• 2019

Background: In this study, we aimed to investigate the drinking behaviors and drinking-related problems of college students in South Korea to produce national alcohol statistics. Methods: We carefully examined the questionnaires and previous research developed in the previous research project and selected questions that reflect the special environment and culture of college students. In order to stratify a nationally representative sample of college students, the distribution of students around the country were found through the educational statistics database of the Korea Educational Development Institute. Based on this information, we conducted a survey in collaboration with Gallup (Korea) to survey and analyze the drinking behaviors of 5,024 Korean students. Results: A nationwide cross-sectional survey was conducted in 2017, for Korean college students. A total of 5,024 students were recruited and analyzed. The monthly drinking rate was 78.0% for male students and 72.9% for female students. The high-risk drinking rate was 23.3% for male students and 17.2% for female students. The most popular category for number of drinks per drinking session was 'more than 10 glasses' per drinking session for both male (44.1%) and female (32.8%). On the alcohol use disorders identification test, the greatest proportion of male students were in the high-risk drinking category (score 8 to 15) 43.8%, followed by the 'low-risk drinking' (score 0 to 7) in 43.6%, 'alcohol abuse' (score 16 to 19) 7.2%, and 'alcohol dependence' (greater than 20) 5.4% categories, respectively. For female students, the greatest proportion of female students were in the 'low-risk drinking' in 49.6%, followed by 'high-risk drinking' 37.1%, 'alcohol abuse' 8.4%, and 'alcohol dependence' 4.9% categories, respectively. Conclusion: The results of the study showed that the drinking behavior of Korean college students was excessive. Overall, it was found that the college population has a greater high-risk drinking behaviors than general adult population. Furthermore, these problem drinking behaviors were prominent among female college students. Results from the present study suggest that it is necessary to monitor the drinking behavior of college students with constant interest and to prepare policies and strategies suitable for these circumstances.

• Journal of Korean Ophthalmic Optics Society
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• v.16 no.2
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• pp.201-207
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• 2011

Purpose: This study was to find out the influence on eyes of indoor air quality in college students taking course, such as Sick-building syndrome symptoms and effects on the eye in new-built university buildings. Methods: We selected a new building in a university located in Metro Seoul and college students in a department for the study. The number of total participants was 33, to whom questionnaire surveys were conducted in advance to check individual traits (gender, age, whether to smoke, whether to wear contact lenses, or whether to drink). The first questionnaire surveys and checking of ocular symptoms to first indoor hazardous materials were conducted in October and two months later the second surveys and checking were carried out in December. The indoor air quality was measured when conducting the first questionnaire surveys and the second questionnaire surveys; especially measurements of gaseous materials such as aldehydes and VOCs in the indoor air were conducted. Results: Indoor air quality of the new building was as follows: formaldehyde level was 22.90 ${\mu}g/m^3$ in the first measurement and 16.79 ${\mu}g/m^3$ in the second measurement. In addition, most materials showed higher value in the first measurement. The level of TVOC was statistically significant (p<0.05) decreased on 448.54 ${\mu}g/m^3$ in the first and 62.55 ${\mu}g/m^3$ in the second. In clinical assessments to check ocular symptoms caused by eye irritations, dry eye syndrome was found in the first and second exposures. When comparing the first and second assessments, dry eyes deteriorated in the morning of the second attempt compared to the first one. Conclusions: In the survey of ocular symptoms and the measurement of indoor air quality, the level of formaldehyde was measured higher in the second attempt than the first; thus, it was confirmed the influence of indoor air quality in a new building upon ocular symptoms of occupants.