Purpose: The purpose of this study is to provide basic data of education and intervention for prevention of addiction by grasping influence factors of smart phone addiction on university students focusing on Alderfer's need theory.
Method: The study is a descriptive research study to examine th...
Purpose: The purpose of this study is to provide basic data of education and intervention for prevention of addiction by grasping influence factors of smart phone addiction on university students focusing on Alderfer's need theory.
Method: The study is a descriptive research study to examine the influence factors of smart phone addiction on university students focusing on Alderfer's need theory. Subjects of the study were the persons who voluntarily agree to participate in it among 190 university students who are in 3 universities located in B (Freshmen, sophomores, juniors, and seniors). Data collection was arranged from June 18, 2015 to October 10, 2015 after receiving approval from IRB and done by structured questionnaires. Collected Data was analyzed by -test, t-test, logistic regression analysis using SPSS/WIN version 21.0 program.
Results: The real state of smart phone addiction has found that a general user group is 64.7%, a potential risk group is 24.2%, and a high risk group is 11.1%. The influence factors of smart phone addiction on university students were gender(OR=2.54, 95% CI=1.08〜5.99) and sexual curiosity(OR=1.48, 95% CI=1.13〜1.94). Smart phone addiction of female students 2.54 times higher than that of male students. And the higher sexual curiosity is, the more smart phone addiction grows (1.48 times). The average age of the subjects was 22.62(2.44) and men were 54.2% and women were 45.8%. The period of smart phone use has found that 3〜4 hours was 44.2%. The period to start smart phones has found that university students are 60%. Use purpose has found that SNS including Kakao Talk, Facebook, etc. was most as 46.1%. The items which showed differences of smart phone addiction according to general characteristics were gender(p=<.001) and age(p=<.001). And the items which showed differences of smart phone addiction according to usage characteristics of smart phones were the daily period to use smart phones(p=<.001), the period to start smart phones(p=<.001), and degree of dependence on smart phones(p=<.001). Differences of smart phone addiction according to desire levels were sexual curiosity(p=.005), Interpersonal needs(p=.024), and Approval needs(p=.008). Sexual curiosity, Interpersonal needs, and Approval needs in the addiction risk group were significantly higher than those in the general user group.
Conclusion: The influence factors of smart phone addiction on university students were gender and sexual curiosity. Smart phone addiction risk of female students was higher than that of male students. And it was higher when they were younger, the period to use smart phones per day is longer, the period to start smart phones is university students, and they realize that their dependence on smart phones is high. Sexual curiosity, Interpersonal needs and Approval needs of the addiction risk group were higher than those of the general user group.
Purpose: The purpose of this study is to provide basic data of education and intervention for prevention of addiction by grasping influence factors of smart phone addiction on university students focusing on Alderfer's need theory.
Method: The study is a descriptive research study to examine the influence factors of smart phone addiction on university students focusing on Alderfer's need theory. Subjects of the study were the persons who voluntarily agree to participate in it among 190 university students who are in 3 universities located in B (Freshmen, sophomores, juniors, and seniors). Data collection was arranged from June 18, 2015 to October 10, 2015 after receiving approval from IRB and done by structured questionnaires. Collected Data was analyzed by -test, t-test, logistic regression analysis using SPSS/WIN version 21.0 program.
Results: The real state of smart phone addiction has found that a general user group is 64.7%, a potential risk group is 24.2%, and a high risk group is 11.1%. The influence factors of smart phone addiction on university students were gender(OR=2.54, 95% CI=1.08〜5.99) and sexual curiosity(OR=1.48, 95% CI=1.13〜1.94). Smart phone addiction of female students 2.54 times higher than that of male students. And the higher sexual curiosity is, the more smart phone addiction grows (1.48 times). The average age of the subjects was 22.62(2.44) and men were 54.2% and women were 45.8%. The period of smart phone use has found that 3〜4 hours was 44.2%. The period to start smart phones has found that university students are 60%. Use purpose has found that SNS including Kakao Talk, Facebook, etc. was most as 46.1%. The items which showed differences of smart phone addiction according to general characteristics were gender(p=<.001) and age(p=<.001). And the items which showed differences of smart phone addiction according to usage characteristics of smart phones were the daily period to use smart phones(p=<.001), the period to start smart phones(p=<.001), and degree of dependence on smart phones(p=<.001). Differences of smart phone addiction according to desire levels were sexual curiosity(p=.005), Interpersonal needs(p=.024), and Approval needs(p=.008). Sexual curiosity, Interpersonal needs, and Approval needs in the addiction risk group were significantly higher than those in the general user group.
Conclusion: The influence factors of smart phone addiction on university students were gender and sexual curiosity. Smart phone addiction risk of female students was higher than that of male students. And it was higher when they were younger, the period to use smart phones per day is longer, the period to start smart phones is university students, and they realize that their dependence on smart phones is high. Sexual curiosity, Interpersonal needs and Approval needs of the addiction risk group were higher than those of the general user group.
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