مجله مراقبت های نوین
Modern Care Journal
چهارشنبه 13 آبان 1405
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دوره 10، شماره 4 - ( 10-1392 )
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khazaie T, Sharifzadeh G, Jahed Sarawani M, Khazaei T, hedayati H. The relationship between emotional intelligence and mobile dependency of students in Birjand Azad University, 2012. , Mod Care J. 2013; 10 (4) :279-287
URL: http://mcj.bums.ac.ir/article-1-465-fa.html
URL: http://mcj.bums.ac.ir/article-1-465-fa.html
خزاعی طیبه، شریف زاده غلامرضا، جاهد سراوانی مینا، خزاعی طاهره، هدایتی هایده. بررسی رابطه هوش هیجانی و وابستگی به تلفن همراه در دانشجویان دانشگاه آزاد اسلامی بیرجند در سال 1391. , مراقبت های نوین. 1392; 10 (4) :279-287
طیبه خزاعی*1 
، غلامرضا شریف زاده2 ، مینا جاهد سراوانی3 ، طاهره خزاعی4 ، هایده هدایتی5
، غلامرضا شریف زاده2 ، مینا جاهد سراوانی3 ، طاهره خزاعی4 ، هایده هدایتی5
1- طیبه خزاعی، گروه آموزشی پرستاری، دانشکده پرستاری مامایی دانشگاه علوم پزشکی بیرجند. بیرجند، ایران. تلفن: 05614443041 پست الکترونیک: thayebehk@yahoo.com
2- مربی گروه آموزش اپیدمیولوژی، دانشکده بهداشت و مرکز تحقیقات عوامل اجتماعی موثر بر سلامت دانشگاه علوم پزشکی بیرجند. بیرجند، ایران
3- دانش آموخته کارشناس ارشد روان شناسی استثنایی کودکان
4- مربی گروه آموزشی پیراپزشکی، دانشکده پیراپزشکی دانشگاه علوم پزشکی بیرجند. بیرجند، ایران
5- مربی گروه آموزشی مامایی، دانشکده پرستاری مامایی دانشگاه علوم پزشکی بیرجند. بیرجند، ایران
2- مربی گروه آموزش اپیدمیولوژی، دانشکده بهداشت و مرکز تحقیقات عوامل اجتماعی موثر بر سلامت دانشگاه علوم پزشکی بیرجند. بیرجند، ایران
3- دانش آموخته کارشناس ارشد روان شناسی استثنایی کودکان
4- مربی گروه آموزشی پیراپزشکی، دانشکده پیراپزشکی دانشگاه علوم پزشکی بیرجند. بیرجند، ایران
5- مربی گروه آموزشی مامایی، دانشکده پرستاری مامایی دانشگاه علوم پزشکی بیرجند. بیرجند، ایران
چکیده: (465 مشاهده)
Background and Aim: Inappropriate use of mobile phones may lead to pathological stress in some people. Identification of people at risk, the underlying conditions, and prevention are necessary. Uncontrolled emotions can lead to addictive and compulsive behaviors. Thus, this study aimed to determine the relationship between mobile phone dependency and students' emotional intelligence in Azad University of Birjand in 2012.
Materials and Methods: This descriptive-analytical study was conducted on 312 students who were chosen with systemic random sampling method. Tools to collect data included Bar-On’s 90-item five-scale Emotional Intelligence Scale and 20-item mobile dependency questionnaire in three areas. In the mobile questionnaire, scores greater or equal to 70 indicated addiction, between 63-70 suggested intensive uses, and scores less than 63 implied moderate use. Reliability coefficient was 0.93. Students were selected by systematic random sampling. The data were analyzed in SPSS (version 14) using Chi-square, Fisher exact test, independent t test, and ANOVA as well as Pearson correlation and regression.
Results: From among the 312 students with the mean age of 22.16±3.39 years, 90% (283) were moderate users, 7.4%(23) intensive users, and 1.9%(6) were addicted. Mobile dependency had a significant difference with time of mobile use but not with the mean score of emotional intelligence. Mobile dependency was more in married and master students. Mean score of students’ mobile dependency was 45.59±11.61, and the highest score was related to insisting field (18.91±4.70). There was a positive significant relationship between emotional intelligence and mobile dependency; the correlation coefficient between mobile dependency and emotional intelligence was 0.29. Regression suggested that emotional intelligence can predict dependency on mobile use.
Conclusion: Mobile dependency can be predicted on the basis of emotional intelligence. Mobile dependency can be prevented by identification of individuals at risk and underlying conditions and controlling emotional stresses.
Materials and Methods: This descriptive-analytical study was conducted on 312 students who were chosen with systemic random sampling method. Tools to collect data included Bar-On’s 90-item five-scale Emotional Intelligence Scale and 20-item mobile dependency questionnaire in three areas. In the mobile questionnaire, scores greater or equal to 70 indicated addiction, between 63-70 suggested intensive uses, and scores less than 63 implied moderate use. Reliability coefficient was 0.93. Students were selected by systematic random sampling. The data were analyzed in SPSS (version 14) using Chi-square, Fisher exact test, independent t test, and ANOVA as well as Pearson correlation and regression.
Results: From among the 312 students with the mean age of 22.16±3.39 years, 90% (283) were moderate users, 7.4%(23) intensive users, and 1.9%(6) were addicted. Mobile dependency had a significant difference with time of mobile use but not with the mean score of emotional intelligence. Mobile dependency was more in married and master students. Mean score of students’ mobile dependency was 45.59±11.61, and the highest score was related to insisting field (18.91±4.70). There was a positive significant relationship between emotional intelligence and mobile dependency; the correlation coefficient between mobile dependency and emotional intelligence was 0.29. Regression suggested that emotional intelligence can predict dependency on mobile use.
Conclusion: Mobile dependency can be predicted on the basis of emotional intelligence. Mobile dependency can be prevented by identification of individuals at risk and underlying conditions and controlling emotional stresses.
نوع مقاله: پژوهشي |
دریافت: 1391/10/4 | پذیرش: 1392/8/13 | انتشار: 1392/9/14
دریافت: 1391/10/4 | پذیرش: 1392/8/13 | انتشار: 1392/9/14
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