Purpose: This study aims to prevent Smartphone addiction and provide a basic material for intervention strategy by inquiring into the correlation between interpersonal relations competency and Smartphone addiction. Methods: This study carried out a questionnaire survey oriented to 323 people who agreed to participate in this research. For the final analysis, this study selected 298 sheets of questionnaires excluding 25 sheets with insufficient response qualities. Results: According to the results of regression analysis, significant correlation between interpersonal relations competency and Smartphone addiction level was not observed. However, according to the results of correlation analysis, the subordinate factor of Smartphone addiction "directionality of virtual world" showed a significant negative correlation with "opinion expression regarding rights or refusal" of interpersonal relations competency (p<0.05), while "withdrawal," the subordinate factor of interpersonal relations competency and Smartphone addiction displayed a negative correlation with Smartphone addiction (p<0.05). Conclusion : However, the mean of the 3DP group was within the clinical tolerance suggested by the previous researchers. Based on this, dental prosthesis fabricated by 3D printing technology is considered to be clinically acceptable.
The purpose of this study is to investigate the differences of the mobile phone overuse by gender and school levels. For this study, 565 middle and high school students in Gyeonggi province answered the self-report survey, 253 students were extracted as an overuse group, and the data were analyzed by one-way MANOVA. The results showed that 'daily disturbance' was a common major factor in gender and school level difference and 'school life disturbance', 'with draw' and 'tolerance' were added in school level difference. Based on the results, this study suggested users' characteristics such as gender and school level should be taken into prevention and treatment of mobile phone overuse.
Journal of Korea Society of Digital Industry and Information Management
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v.13
no.1
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pp.173-183
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2017
The purpose of this study is to find out the difference of sense of self-efficacy and stress encountering strategy of university students under the stress situation depending on the smart-phone user group (addiction group, general user group). For this purpose, the study issues are established as follows. First, it has analyzed what is the correlation of smart-phone addiction, sense of self-efficacy, and stress encountering strategy. Second, it has studied if there is any difference of sense of self-efficacy and stress encountering strategy for the smart-phone user group. In order to verify such study issues, For 1,670 university students in the Chungcheong area, smart-phone addiction scale, sense of self-efficacy scale, and stress encountering method scale were administered. Looking into the study result, first, as a result of the relativity analysis, it displayed the correlation of preference of test difficulty, self-control efficacy and important negative from the smart-phone addiction and sense of self-efficacy. In addition, all sub-variables of smart-phone addiction and avoidance orientation from the stress encountering strategy displayed the important positive correlation, and from the smart-phone addiction, the virtual world orientation and pursuit of social-support displayed the important negative correlations, and all sub-variables (interference with ordinary living, virtual world striving direction, withdrawal, resistance) of smart-phone addiction and problem solving-orientation displayed the negative correlation. Second, as a result of verification for the difference of the smart-phone addiction group and general use group following the sense of self-efficacy, the general use group is shown to have higher self-control efficacy sense than the addiction group. And third, as a result of verifying the difference of stress encountering following the smart-phone addiction group and general use group, the addiction group is shown to be lower than the general use group in terms of social support pursuit and problem solution orientation with the avoidance orientation shown to be higher. This type of result is expected to provide the base data when developing the smart-phone addiction preventive education program by finding out in details for the characteristics of smart-phone addiction group for university students.
Kim, Bong Hyun;Cho, Dong Uk;Kim, Hee Dae;Lee, Bum Joo;Park, Young;Jeong, Yeon Man
The Journal of Korean Institute of Communications and Information Sciences
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v.42
no.4
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pp.831-837
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2017
The development of various electronic media such as the Internet and smart phones, each kinds of media informations has been accompanied by the fact that various types of media information are provided from one media, and on the other hand, various dysfunctions including smart phone addiction are also caused by a very large social problem. Especially, one of the biggest dysfunctions is the social crime problem such as sex crime caused by increased sexual desire according to watch the phonography, and even if it is not a social crime, watching the phonography has influenced bad mental and physical on human body. In this paper, we try to analyze what kind of change occurs in the voice in order to investigate what kind of bad influence it has on the human body after watching the phonography. In other words, the voice in the human body is the place where the human body signal is most expressed with the face. Therefore, the purpose of this study is to investigate the effects on the organs of the human body by comparing the change of voice before and after watching phonography. Experimental results showed that the stress hormone was increased by the inability to resolve sexual desire after watching the phonography, which resulted in an increase in the bandwidth of the 3rd formant frequency.
Purpose: This study was designed to identify the relationship between smartphone addiction and psychiatric symptoms and the difference in severity of psychiatric symptoms by the degree of smart phone addiction in order to raise awareness of mental health problem. related to smartphone addiction in college students. Methods: Two hundreds and thirteen university student survey data was collected from December 5th to 9th of 2011 in South Korea using smartphone Addiction Scale, and the Symptom Checklist-90-Revision that was translated with korean for the psychiatric symptoms. Results: Respondents were classified as upper addicted (25.3%) and lower addicted group (28.1%). Addicted scores were positively correlated with psychiatric symptom scores. Obsessive-compulsive score was the most highly correlated with addiction scores. There were significant different in psychiatric symptom scores by the groups. Upper groups was 1.76 times higher than lower in total psychiatric scores. The addicted group used smartphone significantly longer per day and more satisfied with than lower addicted group. Conclusion: Although the smartphone was first introduced not so long ago, the addiction rate is exponentially increasing in students. The results proved that there is an inevitable correlation between the smartphone addiction and the severity of psychiatric symptoms.
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.
Objectives : As of 2013, South Korea ranked number one in the world in smartphone penetration rate with 67.6%. Unfortunately, with the rise of smart phone use, side effects such as fraud, loss of personal information, identity theft, formation and widening of a mobile information gap, and last, but not least, smart phone addiction, also increased. Methods : Seventh (7th)graders from a girls' junior high school in Seoul, the capital of South Korea, we reevaluated the Smart phone Addiction Proneness Scale (S-scale). Among the 9 students classified as high risk users, 5 were randomly selected for a study group, and the remaining 4 students, meanwhile, were designated as a control group. The study group received Korean medicine music therapy (KMMT) in a total of 8 sessions, each session lasting 50 minutes. Both pre- and post-interventions, the two groups completed the S-scale, Harris and Harris' concentration grid exercise, STAI, and STAXI-K. We analyzed the data by t-test and paired t-test using IBM SPSS Statistics. Results : KMMT had a significant influence on proneness to smart phone addiction (t=3.130, p=.035). KMMT had positive effects on concentration improvement (t=-2.935, p=.043), trait-anxiety symptoms improvement (t=2,992, p=.040), and anger-expression control (t=4.416, p=.012). Conclusions : KMMT had positive, improving effects on trait anxiety and anger expression, which in turn enhanced the improvement of concentration as well as the decrease of smart phone-addiction proneness.
Kim, Hye In;Cheon, Seong Hi;Kang, Hwa Jeong;Lee, Keunmi;Jung, Seung Pil
Journal of Yeungnam Medical Science
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v.34
no.1
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pp.55-61
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2017
Background: Smartphone addiction, academic stress and anxiety of university students are increasing gradually; however, few studies have investigated these factors in medical school students. Therefore, this study investigated associations between smartphone addiction scale and sociopsychological aspects in medical school students. Methods: A total of 231 Yeungnam University College of Medicine students were enrolled in this study in March 2017. Gender, school grade, type of residence, and smartphone usage patterns of the students were surveyed. The Korean Smartphone Addiction Proneness Scale and each Korean version scale were used to assess sociopsychological aspects such as loneliness, stress and anxiety. Results: There was a direct statistical correlation between loneliness, stress of negative perception, anxiety and smartphone addiction scales. There was also a negative statistical correlation between stress of positive perception and smartphone addiction scales. There was a higher level of anxiety among female students than male students. Additionally, there was a higher level of stress associated with negative perception and anxiety among medical students in the first grade than other students. Moreover there was a higher level of loneliness, stress of negative perception and anxiety among students who live with friends than students who live with their own family. Conclusion: Smartphone addiction scale and sociopsychological aspects significantly correlated. Moreover, the results suggest that female medical students in the first grade who have been separated from their family need more attention and management of loneliness, stress and anxiety to avoid smartphone addiction.
Park, Sei-Youn;Choi, Tae-Seok;Kim, Dae-Hun;Ryu, Byeong-Ho;Lee, Sang-Bin
Journal of the Korean Society of Physical Medicine
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v.15
no.3
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pp.43-50
/
2020
PURPOSE: To investigate the correlation between sleep quality, neck and shoulder pain, neck and shoulder disability, headache, and smartphone addiction in adults, as well as factors affecting sleep disorders in adults. METHODS: A total of 112 adults in their 20s were recruited for participation in this study. This study measured Pearson's correlation of sleep quality, neck and shoulder pain, neck and shoulder disability, headache and smartphone addiction. Logistic regression analysis (sleep disorder, without sleep disorder adults), was performed to analyze factors affecting sleep disorders. RESULTS: Sleep quality index was positively correlated with shoulder pain and disability index(SPADI)-pain score, SPADI-global score and smartphone addiction score. There was a significant difference in SPADI-pain score between the group with sleep disorders and the group without sleep disorders. Shoulder pain and disability were identified as factors affecting sleep disorders. The group with sleep disorders showed 1.088 times more shoulder pain than the group without sleep disorders, and the group with sleep disorders showed 1.006 times higher frequency of shoulder disorders than the group without sleep disorders. CONCLUSION: The results of the present study indicate that as sleep quality worsens, shoulder pain, disability, and smartphone addiction get worse. The group with sleep disorders had significantly increased shoulder pain compared to the group without sleep disorders. We also found that shoulder pain and disability were factors affecting sleep quality. Comparison between intervention method is warranted to better understand adults with sleep disorders.
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.
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