The prevalence of smart phone addiction among students in medical sciences universities in Tehran 2016
Advances in Nursing & Midwifery,
Vol. 26 No. 94 (2017),
Background and Aim:
The use of smartphone technology has made significant development during recent years. The use of this technology in students' growth rate was higher. Besides the advantages of this technology, such as drug side effects may also occur. Despite the impairment nursing student safety and patient care is difficult. This study aimed to assess the prevalence of smart phone addiction among students of Tehran University of Medical Sciences.
Materials and Methods:
This study was a cross-sectional study was conducted between April and June 1395. The study has been conducted on 150 nursing students of Tehran University of Medical Sciences. Quota cluster sampling was done. The research instrument was kwon questionnaire smart phone addiction. The questionnaire was returned by forward-backward translation in Farsi. The data were analyzed by independent t-test and Chi-square. SPSS-16 Software was used for analysis.
The mean smart phone addiction among students was 12.77 ± 32.94. 9.3% of students were addicted to the smart phone addiction. Between the hours of use of smart phones and Internet access and there is a single smart phone addiction (p <0.05).
Smartphone addiction among students with prevalence was nearly ten percent. There is access to the Internet and the increased use of smart phones is associated with the disorder. The use and how to use smart phones in educational environments and health should be controlled.
Addiction, Smartphone, Nursing students
- Nursing students
How to Cite
Ahn S-Y and Kim Y-J (2015) The Influence of Smart phone Use and Stress on Quality of Sleep among Nursing Students. Indian Journal of Science and Technology. 8 (35) 1-6.
- Cecere G, Corrocher N and Battaglia R D (2015) Innovation and competition in the smartphone industry: Is there a dominant design? Telecommunications Policy. 39 (3) 162-75.
- Chiu S-I (2014) The relationship between life stress and smartphone addiction on taiwanese university student: A mediation model of learning self-Efficacy and social self-Efficacy. Computers in Human Behavior. 34 (0) 49-57.
- Cho M (2014) The Relationships among Smart phone Use Motivations, Addiction, and Self-control in Nursing students. Journal of Digital Convergence. 12 (5) 311-23.
- Cho S and Lee E (2015) Development of a brief instrument to measure smartphone addiction among nursing students. CIN: Computers, Informatics, Nursing. 33 (5) 216-24.
- Dan H, Bae N, Koo C, Wu X and Kim M (2015) Relationship of Smartphone Addiction to Physical Symptoms and Psychological Well-being among Nursing Students: Mediating Effect of Internet Ethics. J Korean Acad Nurs Adm. 21 (3) 277-86.
- Demirci K, Orhan H, Demirdas A, Akpınar A and Sert H (2014) Validity and reliability of the Turkish Version of the Smartphone Addiction Scale in a younger population. Bulletin of Clinical Psychopharmacology. 24 (3) 226-34.
- Ehrenberg A, Juckes S, White K M and Walsh S P (2008) Personality and self-esteem as predictors of young people's technology use. CyberPsychology & Behavior. 11 (6) 739-41.
- Enez Darcin A, Kose S, Noyan C O, NurmedovS, Yılmaz O and Dilbaz N (2016) Smartphone addiction and its relationship with social anxiety and loneliness. Behaviour & Information Technology. 35 (7) 520-5.
- Ezoe S and Toda M (2013) Relationships of loneliness and mobile phone dependence with Internet addiction in Japanese medical students. Open Journal of preventive medicine. 3 (06) 407-12.
- Ezoe S, Toda M, Yoshimura K, Naritomi A, Den R and Morimoto K (2009) Relationships of personality and lifestyle with mobile phone dependence among female nursing students. Social Behavior and Personality: an international journal. 37 (2) 231-8.
- Havelka S (2011) Mobile resources for nursing students and nursing faculty. Journal of Electronic Resources in Medical Libraries. 8 (2) 194-9.
- Hinckley K, Yatani K, Pahud M, Coddington N, Rodenhouse J, Wilson A, Benko H and Buxton B. Manual deskterity: an exploration of simultaneous pen+ touch direct input. In: Manual deskterity: an exploration of simultaneous pen+ touch direct input. CHI'10 Extended Abstracts on Human Factors in Computing Systems. Year P: 2793-802.
- Im K, Suh N and Byun J (2014) The differences in smartphone addiction symptom between highly addicted and non-addicted college students. Journal of the Korean Society of School Health. 27 (3) 189-95.
- Jeong H and Lee Y (2015) Smartphone addiction and empathy among nursing students. Advanced Science and Technology Letters. 88 224-8.
- Kalisch B J and Aebersold M (2010) Interruptions and multitasking in nursing care. The joint commission journal on quality and patient safety. 36 (3) 126-32.
- Kee I-K, Byun J-S, Jung J-K and Choi J-K (2016) The presence of altered craniocervical posture and mobility in smartphone-addicted teenagers with temporomandibular disorders. Journal of physical therapy science. 28 (2) 339-46.
- Kumari A, D'souza M S, Dhar T and Alex S (2013) Severity of mobile phone and internet use Among b. sc. Nursing students. Nitte University Journal of Health Science. 3 (4) 67-70.
- Kwon M, Kim D-J, Cho H and Yang S (2013) The smartphone addiction scale: development and validation of a short version for adolescents. PloS one. 8 (12) e83558.
- Kwon M, Lee J-Y, Won W-Y, Park J-W, Min J-A, Hahn C, Gu X, Choi J-H and Kim D-J (2013) Development and validation of a smartphone addiction scale (SAS). PloS one. 8 (2) e56936.
- Lee Y-K, Chang C-T, Lin Y and Cheng Z-H (2014) The dark side of smartphone usage: Psychological traits, compulsive behavior and technostress. Computers in Human Behavior. 31 (0) 373-83.
- Lin Y-H, Chang L-R, Lee Y-H, TsengH-W, Kuo T B and Chen S-H (2014) Development and Validation of the Smartphone Addiction Inventory (SPAI). PloS one. 9 (6) e98312.
- Mosa A S M, Yoo I and Sheets L (2012) A systematic review of healthcare applications for smartphones. BMC medical informatics and decision making. 12 (1) 67.
- Park N, Kim Y-C, Shon H Y and Shim H (2013) Factors influencing smartphone use and dependency in South Korea. Computers in Human Behavior. 29 (4) 1763-70.
- Phillippi J C and Wyatt T H (2011) Smartphones in nursing education. Computers Informatics Nursing. 29 (8) 449-54.
- Ranjbar H, Thatcher A, Greyling M, Arab M and Nasri N (2014) Validation of the Persian Version of the Problematic Internet Use Questionnaire (PIUQ). Iranian Journal of Psychiatry. 9 (4) 248-52.
- Roberts J A, Pullig C and Manolis C (2015) I need my smartphone: A hierarchical model of personality and cell-phone addiction. Personality and Individual Differences. 79 (0) 13-9.
- Salehan M and Negahban A (2013) Social networking on smartphones: Whenmobile phones become addictive. Computers in Human Behavior. 29 (6) 2632-9.
- Smith T, Darling E and Searles B (2011) 2010 Survey on cell phone use while performing cardiopulmonary bypass. Perfusion. 26 (5) 375-80.
- Telefon S B F Ö A and Sosyal B D (2016) Effects of smartphone addiction level on social and educational life in health sciences students. Eurasian Journal of Family Medicine. 5 (1) 13-9.
- Wittmann-Price R A, Kennedy L D and Godwin C (2012) Use of personal phones by senior nursing students to access health care information during clinical education: staff nurses’ and students’ perceptions. Journal of Nursing Education. 51 (11) 642-6.
- Abstract Viewed: 2653 times
- PDF Downloaded: 994 times