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Association between general health and mobile phone dependency among medical university students: A cross-sectional study in Iran
Mehdi Ranjbaran1, Bahareh Soleimani2, Maryam Mohammadi2, Nooshin Ghorbani2, Mahmoud Khodadost3, Kamyar Mansori4, Reza Omani Samani5
1 Department of Public Health, Faculty of Health, Arak University of Medical Sciences, Arak; Department of Epidemiology and Biostatistics, School of Public Health and Health Research Institute, Tehran University of Medical Sciences, Tehran, Iran
2 Department of Public Health, Faculty of Health, Arak University of Medical Sciences, Arak, Iran
3 Department of Epidemiology, School of Public Health, Shahid Beheshti University of Medical Sciences; Department of Epidemiology, School of Public Health, Iran University of Medical Sciences, Tehran, Iran
4 Department of Public Health, School of Public Health, Dezful University of Medical Sciences, Dezful; Department of Nursing and Midwifery, School of Nursing and Midwifery, Islamic Azad Univesity, Sanandaj Branch, Sanandaj, Iran
5 Department of Epidemiology and Reproductive Health, Reproductive Epidemiology Research Center, Royan Institute for Reproductive Biomedicine, ACECR, Tehran, Iran
Correspondence Address:
Mehdi Ranjbaran
Department of Public Health, Faculty of Health, Golestan St., Daneshgah Ave., Zip Code: 38138-4-6851, Arak
Iran
 Source of Support: None, Conflict of Interest: None  | Check |
DOI: 10.4103/ijpvm.IJPVM_311_17
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Background: Mobile phone dependency is an emerging public health problem. The aim of this study was to investigate the associations between general health and mobile phone dependency in college students. Methods: In this cross-sectional study, 334 students from Arak University of Medical Sciences of Iran were selected by stratified random sampling. Data were collected by (1) demographic checklist, (2) 27-item Mobile Phone Problem Usage Scale, and (3) General Health Questionnaire-28 (GHQ-28). Results: Mean scores of mobile phone dependency and GHQ-28 were 119.83 ± 43.53 and 23.73 ± 12.77, respectively. In multiple linear regression, age, family economic status, anxiety and sleep disorder, and social dysfunction were the main significant predictors of mobile phone dependency (R = 0.469, R2 = 0.220, adjusted R2 = 0.203). Conclusions: Based on the finding of this study, prevention strategies for management of mobile phone use in students can be adopted.
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