• Journal of Acupuncture Research
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• 제31권2호
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• pp.99-109
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• 2014

Objectives : The purpose of this study was to analysis the relationship between hours of smartphone use and neck pain in university students. Methods : A survey of 2,353 university students was conducted in Gyeonggi province and Incheon city using a self report questionnaire from April 1 to 11 2013. The questionnaire of questions regarding the hours of using smartphone, mainly used function in participant's smartphone and neck discomfort degree. Neck disability index(NDI) was used to evaluate degree of pain. The collected data were analyzed with the t-test and Kendall's tau test using the SPSS 21.0 program and R 3.1.0, respectively. Results : 1. Almost all of the survey participants(99.07 %) were smartphone users. 66.97 % of them answered that they use their smartphone daily more than 2 hours and 48.18 % of them answered that they use their smartphone 10 to 30 minutes everytime they use it. 2. The overall distribution of NDI scores was 'no disability(0~4 score, 62.92 %)', 'mild disability(5~14 score, 32.85 %)', 'moderate disability(15~24 score, 1.19 %)'. As a result of t-test, we found that the average NDI score for female students was significantly higher than the average NDI score for male students(p<0.05). 3. The Kendall's tau test revealed that total time spent daily using smartphones has a strong positive correlation with 'pain intensity', 'lifting', 'reading' 'headache', 'concentration', and 'driving'(p<0.05) in NDI. Also, time duration of one time smartphone usage has a strong positive correlation with 'pain intensity', 'lifting', 'reading', 'headache', 'concentration', 'work', and 'recreation'(p<0.05). 4. The Kendall's tau test revealed that total NDI scores have a significantly strong positive correlation with both of total time spent daily using smartphones(p<0.05) and time duration for one time smartphone usage(p<0.05). This results imply that long-time use of smartphone has a strong relationship with neck pain. Conclusions : The results of the study would be a good starting point for future studies to reduce the risks of chronic neck pain caused by smartphone usage.

• 대한영양사협회학술지
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• 제23권4호
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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.

• 대한물리의학회지
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• 제11권3호
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• pp.35-39
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• 2016

PURPOSE: The purpose of this study was to examine changes in the neck flexion angle according to posture while using a smartphone and the duration of smartphone usage. METHODS: The subjects in this study were 16 healthy young students in their 20s. The subjects wore a cervical range of motion instrument. They were instructed to use a smartphone while standing, sitting on a chair, and sitting on the floor. In all postures, they could use the smartphone and use their arms freely while keeping their back connected to the wall or the back of the chair. When sitting on the floor, they assumed a cross-legged position. The neck flexion angle was measured at zero, three, six, and nine minutes for each posture. RESULTS: Neck flexion is affected by the posture while using a smartphone (p<.05). Neck flexion in the standing position is larger than that in the sitting on the floor position. Neck flexion was affected by smartphone usage duration (p<.05). In general, as usage time increases, the neck flexion angle increases as well. CONCLUSION: This study suggests that using smartphone in the standing position and for a short period of time is a method to reduce the neck flexion angle.

• 한국측량학회지
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• 제37권5호
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• pp.331-341
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• 2019

With the popularity of sensor-rich environments, smartphones have become one of the major platforms for obtaining and sharing information. Since it is difficult to utilize GNSS (Global Navigation Satellite System) inside the area with many buildings, the localization of smartphone in this case is considered as a challenging task. To resolve problem of localization using smartphone a four step image-based localization method and procedure is proposed. To improve the localization accuracy of smartphone datasets, MMS (Mobile Mapping System) and Google Street View were utilized. In our approach first, the searching for candidate matching image is performed by the query image of smartphone's using GNSS observation. Second, the SURF (Speed-Up Robust Features) image matching between the smartphone image and reference dataset is done and the wrong matching points are eliminated. Third, the geometric transformation is performed using the matching points with 2D affine transformation. Finally, the smartphone location and attitude estimation are done by PnP (Perspective-n-Point) algorithm. The location of smartphone GNSS observation is improved from the original 10.204m to a mean error of 3.575m. The attitude estimation is lower than 25 degrees from the 92.4% of the adjsuted images with an average of 5.1973 degrees.

• 한국학교보건학회지
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• 제33권1호
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• pp.48-57
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• 2020

Purpose: The purpose of this study is to identify the relationship between perceived smartphone addiction and physical and mental health among female college students. Methods: Data were collected using a questionnaire to measure perceived smartphone addiction and physical and mental health of 314 female students attending a college located in D city from April 9 to May, 31, 2019. The collected data were analyzed using descriptive statistics, 𝑥² test, t-test and stepwise multiple regression with SPSS 18. Results: The respondents were classified into two groups, the perceived smartphone addiction group (29.3%) and the perceived smartphone non-addiction group (70.7%). Perceived smartphone addiction was significantly different according to daily smartphone usage time (p<.001), smartphone usage fee (p=.005), most satisfying thing about using smartphones (p=.006) and importance of smartphones in daily life (p<.001). The perceived smartphone addiction group had more physical health problems (p=.001) and more mental health problems (p<.001). The factors affecting physical health were perceived smartphone addiction and importance of smartphones in daily life, with 62% of explanatory power (F=10.15, p<.001). As for mental health, the affecting factors were also perceived smartphone addiction and importance of smartphones in daily life, with 87% of explanatory power (F=14.52, p<.001). Conclusion: It is important to raise awareness of smartphone addiction including its negative impact on physical and mental health, reduce smartphone usage time, and build offline social relationships.

• 대한통합의학회지
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• 제10권2호
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• pp.135-143
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• 2022

Purpose : This study was to compare and analyze major factors related to smartphone addiction according to the gender of health-related college students. Methods : 720 people who voluntarily participated and agreed to fill out the questionnaire were randomly sampled. Smartphone addiction was measured using the Smartphone Addiction Scale Short Version (SAS-SV), sleep quality was measured using the Pittsburgh Sleep Quality Index (PSQI), anxiety symptoms were measured using the self-assessment anxiety scale (SAS), and depression symptoms were measured using the self-assessment depression scale (SDS). In addition, the age of each individual and the main function of smartphone use were also investigated. Results : The prevalence of smartphone addiction was higher among female students than male students (p<.05), while male students mainly played games and female students mainly used multimedia (video/music) viewing and social networking services (p<.05). In addition, male students showed a high association with smartphone addiction in the group where games were the main function of smartphone use, the group with low sleep quality, and the group with anxiety symptoms (p<.05), but for female students, multimedia (video/music) Or, the group in which social networking service is the main function of smartphone use, the group with low sleep quality, and the group with symptoms of anxiety and depression showed a high correlation with smartphone addiction (p<.05). Conclusion : It is expected that the results of this study will be used as basic data for providing customized solutions considering the characteristics of smartphone addicts.

• 아태비즈니스연구
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• 제13권3호
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• pp.293-309
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• 2022

Purpose - The purpose of this study is to explore the possibility of predicting the degree of smartphone overdependence based on mobile phone usage patterns. Design/methodology/approach - In this study, a survey conducted by Korea Internet and Security Agency(KISA) called "problematic smartphone use survey" was analyzed. The survey consists of 180 questions, and data were collected from 29,712 participants. Based on the data on the smartphone usage pattern obtained through the questionnaire, the smartphone addiction level was predicted using machine learning techniques. k-NN, gradient boosting, XGBoost, CatBoost, AdaBoost and random forest algorithms were employed. Findings - First, while various factors together influence the smartphone overdependence level, the results show that all machine learning techniques perform well to predict the smartphone overdependence level. Especially, we focus on the features which can be obtained from the smartphone log data (without psychological factors). It means that our results can be a basis for diagnostic programs to detect problematic smartphone use. Second, the results show that information on users' age, marriage and smartphone usage patterns can be used as predictors to determine whether users are addicted to smartphones. Other demographic characteristics such as sex or region did not appear to significantly affect smartphone overdependence levels. Research implications or Originality - While there are some studies that predict smartphone overdependence level using machine learning techniques, but the studies only present algorithm performance based on survey data. In this study, based on the information gain measure, questions that have more influence on the smartphone overdependence level are presented, and the performance of algorithms according to the questions is compared. Through the results of this study, it is shown that smartphone overdependence level can be predicted with less information if questions about smartphone use are given appropriately.

• 보건교육건강증진학회지
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• 제31권5호
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• pp.147-158
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• 2014

Objectives: This study aims to examine the association of depression, suicidal behaviors with smartphone use behaviors among Korean adolescents. Methods: We analyzed data from 'Youth Health and Life Skills Survey' in 2013. The survey was based on self-reported questionnaires distributed to 915 grade 7th and 8th students at four middle schools in Gangdong-gu, Seoul, Korea in 2013 to evaluate the effects of 'Youth Health and Life Skills' program. Depression and suicidal behaviors were measured in terms of the experience rate, and smartphone use behaviors were measured with average hours of smartphone use a day and overindulged behaviors in smartphone use by using 5-point Likert scales. We examined the association of depression and suicidal behaviors with smartphone use behaviors by using t-test and regression analyses. Results: 21.5% of respondents have ever felt depressed or hopeless to lose interest in school life almost everyday for 2 weeks or longer in the past year. The experience rate of suicidal ideation, suicide plan, and suicidal attempt were 21.1%, 6.1%, and 5.7%, respectively. The mean of average hours of smartphone use a day was 3.9 hours, and the mean score of overindulged behaviors in smartphone use was 2.99. The students who have experienced depression and suicidal behaviors were more likely to have more smartphone using time and higher scores of overindulged behaviors in smartphne use than those who have not. Conclusion: We concluded that for preventing addictive or problematic smartphone use behaviors among adolescents we should consider and develop more positive strategies for the moderate use of smartphone than regulatory measures, which include the implementation of skill-based health education program including life skills at schools and the development of smartphone applications useful for resolving mental stress and promoting mental health.

• 대한통합의학회지
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• 제11권3호
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• pp.1-10
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• 2023

Purpose : This study was conducted to determine the effect of intervention using a smartphone application on abdominal muscle thickness and maximum voluntary ventilation when conducting pelvic floor muscle exercise (PFME). Methods : This study was performed on 14 subjects. They were divided into two groups; PFME using smartphone application (n=7), common PFME (n=7). Both of group executed the exercise 5 times a week for 1 weeks. Abdominal muscle thickness was measured using ultrasound. Maximum voluntary ventilation was measured using a spirometer. The smartphone application used the paid version of Kegel trainer. This material was analyzed by the paired t-test to compare differences on each group and the independent t-test to compare between the two groups. Results : The PFME group using the smartphone application showed a significant increase in the transverse abdominis and internal oblique muscles (p<.05). The common PFME group showed a significant increase in the internal oblique muscle (p<.05). There was no significant difference in variation of the muscle thickness between the two groups (p>.05). The PFME group using the smartphone application showed a significant increase in the maximal voluntary ventilation (p<.05). There was no significant difference in variation of the maximal voluntary ventilation between the two groups (p>.05). Conclusion : As a results of this study, PFME using a smartphone application seems to induce voluntary participation of subjects and maintain continuity against time constraints. As a result, it is thought that using a smartphone application when performing PFME is efficient and convenient in terms of research method. However, this study is difficult to generalize due to the small number of subjects and short intervention period. Therefore, additional research should be conducted by modifying and supplementing these limitations.

• 한국간호교육학회지
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• 제24권4호
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• pp.376-390
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• 2018

Purpose: The purpose of this study was to (a) synthesize nursing education literature using a smartphone for Korean nursing college students based on Whittemore and Knafl's integrative five-step review method and to (b) evaluate the quality appraisal of each article using Gough's weight of evidence. Methods: Articles published in Korea were identified through electronic search engines and scholarly websites using a combination of three search terms, including nursing student, smartphone, and education. Scientific, peer-reviewed articles in nursing education for Korean college nursing students, written in Korean or in English, and published between January 2000 and May 2018 were included in this review. Thirteen papers met the inclusion criteria and had above average ratings in quality appraisals. Results: Three characteristics related to nursing education using a smartphone were derived: (a) as a familiar media, motivating learning and enabling self-directed learning, (b) for the purpose of education or evaluation utilizing the educational movie of application, and (c) the iterative exercise of smartphone usage reinforces student learning. Conclusion: Smartphone use is an effective tool for improving nursing knowledge and skills for nursing college students in nursing education. Future research is needed to standardize smartphone applications across schools for nursing education.