• Proceedings of the Korean Society of Computer Information Conference
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• 2020.01a
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• pp.139-140
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• 2020

현대의 성인들은 잦은 회식, 모임 등으로 과도한 음주를 하게 된다. 그러나 잦은 음주의 위험성, 음주로 인해 발생하는 각종 질병들을 잘 알지 못하는 경우가 많다. 본 절주 지원 시스템은 사용자가 절주를 할 수 있도록 관리해주고 음주와 관련된 질병, 사고, 대안정보를 제공한다. 그리고 사용자가 기록한 내용을 토대로 구글 차트를 이용해 도식화해 직관적인 정보를 제공한다. 결과적으로 과도한 음주로 인한 질병과 위험성을 경고해 줌으로써 건강한 몸을 유지할 수 있도록 도와줄 수 있다.

• Journal of the Korean Dietetic Association
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• v.23 no.4
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• pp.408-430
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• 2017

The purpose of this study was performed to investigate dietary and lifestyle habits, dietary behaviors, and food frequency according to the level of smartphone addiction among 408 university students in Kyungnam province. Statistical analyses were performed using the SPSS software package. Based on using the Smartphone Addiction Poneness Scale, 28.4% were potential-risk smartphone users and while 13.2% were high-risk smartphone users. The levels of depression (P<0.05) and stress (P<0.05) and frequency of snacks (P<0.01) were higher in high-risk and potential-risk groups than in the normal group, and meal frequency was highest in the high-risk group (P<0.01). Percentages of using a smartphone at meal time (P<0.01) and snacking while using a smartphone (P<0.01) were higher in potential-risk and high-risk groups than in the normal group. Percentages of skipping meals (P<0.001) and slow eating speed (P<0.01) due to using a smartphone were higher in high-risk and potential-risk groups than in the normal group, and percentages of taste change (P<0.05) were higher in the high-risk group than in the potential-risk and normal groups. Percentages of exercise reduction (P<0.01), body weight increase (P<0.05), sleep disturbance (P<0.001), and increase in stress (P<0.01) due to using a smartphone were higher in the high-risk group than in the normal group. Scores of dietary behaviors avoiding salty food (P<0.01) and excessive drinking (P<0.001) were higher in the high-risk group than in the normal group. Scores for frequency of oil or nuts (P<0.05) and fatty meats (P<0.01) were highest in the high-risk group. Our results suggest that effective nutrition education programs are needed to solve unhealthy dietary and lifestyle habits from high-risk smartphone users in university students.