• Journal of Korean Home Economics Education Association
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• v.30 no.4
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• pp.83-91
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• 2018

This study was performed to measure the liquid intake and the liquid intake difference by obesity, exercise frequency, and salty food intake score in female high school students. A total of 235 students in Daejeon area were participated, and the liquid intake was recorded for 3-days(2 weekdays and 1 weekend) by self-recording. The T-test, F-test, Pearson's correlation, and Scheffe test were exercised. The results of this study are as follows. The amount of total liquid intake was 838.5 ㎖/d. Among the 13 kinds of beverages, water was the highest 611.6 ㎖/d, 72.9% of liquid intake total, followed by carbonated drink(65.7 ㎖/d), milk(41.6 ㎖/d), fruit drink(32.8 ㎖/d), and fruit·vegetable juice(25.4 ㎖/d). The other beverages' intake were very small, ≤13.0 ㎖/d. Carbonated drink, milk, and coffee's intake were higher during weekend than weekday. There were sig. difference in water and total liquid intake by the obesity, student of BMI≥23.0 was higher than students of BMI<23.0. And only carbonated drink was sig. different by exercise frequency and salty food intake score. Exercise frequency of ≥3 d/week and salty food intake score of ≥7(very dangerous) consumed more carbonated drink than the lower counterparts. Total liquid intake of female high school students was not reach to 900 ㎖/d, the Adequate Intake in Dietary Reference Intake for Koreans 2015. The amount of milk intake was 41.6 ㎖/d, far less than the Recommended Intake of 2 serving, 400 ㎖/d. Education and promotion program may necessary to increase the liquid intake amount and to choose the nutritious beverage.

• 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.