Startseite Smart phone usage and addiction among dental students in Saudi Arabia: a cross sectional study
Artikel
Lizenziert
Nicht lizenziert Erfordert eine Authentifizierung

Smart phone usage and addiction among dental students in Saudi Arabia: a cross sectional study

  • Elluru Venkatesh EMAIL logo , Mohammad Yousef Al Jemal und Abdullah Saleh Al Samani
Veröffentlicht/Copyright: 6. April 2017
International Journal of Adolescent Medicine and Health
Aus der Zeitschrift International Journal of Adolescent Medicine and Health Band 31 Heft 1

Abstract

Purpose

The main aim of this research is to explore measures of smart phone usage, smart phone addiction, and their associations with demographic and health behavior-related variables among dental students in Saudi Arabia.

Methods

A Cross sectional study involving sample of 205 dental students from Qaseem Private College were surveyed for smart phone use and addiction using the short version of the Smartphone Addiction Scale for Adolescents (SAS-SV).

Results

Smart phone addiction was seen in 136 (71.9%) of the 189 students. The findings from our study revealed that high stress levels, low physical activity, higher body mass index (BMI), longer duration of smart phone usage, higher frequency of usage, shorter time period until first smart phone use in the morning and social networking sites (SNS) were associated significantly with the smart phone addiction.

Conclusion

The current research gives the information about the extent of smart phone over usage and addiction among the dental students in Saudi Arabia with indication of the predictors of addiction and the need for further research in the area with comprehensible interpretation to spread the awareness of the smart phone addiction.

Keywords: smart phone; smart phone addiction; SAS-SV

References

[1] Demirci Kadir, Akgönül Mehmet, Akpinar Abdullah. Relationship of smartphone use severity with sleep quality, depression, and anxiety in university students. J Behav Addict. 2015;4(2):85–92.10.1556/2006.4.2015.010Suche in Google Scholar PubMed PubMed Central

[2] Shaaban 1436 H; Version 21/Issue. June 2015. Available from: www.citc.gov.sa.Suche in Google Scholar

[3] Sim MS, Kim EM. The Smart Phone Use Survey 2011. Seoul: Korea Communications Commission Press, 2011:21–3.Suche in Google Scholar

[4] Kwon M, Lee JY, Won WY, Park JW, Min JA, et al. Development and validation of a smartphone addiction scale (SAS). PloS One. 2013;8:e56936.10.1371/journal.pone.0056936Suche in Google Scholar PubMed PubMed Central

[5] Kim H. Exercise rehabilitation for smartphone addiction. J Exerc Rehabil. 2013;9:500–5.10.12965/jer.130080Suche in Google Scholar PubMed PubMed Central

[6] Roberts JA, Yaya LHP, Manolis C. The invisible addiction: cell-phone activities and addiction among male and female college students. J Behav Addict. 2014;3:254–65.10.1556/JBA.3.2014.015Suche in Google Scholar PubMed PubMed Central

[7] South Korea National Information Society Agency. Internet Addiction Survey 2011. Seoul: National Information Society Agency, 2011:118–9.Suche in Google Scholar

[8] Lin YH, Lin YC, Lee YH, Lin PH, Lin SH, et al. Time distortion associated with smartphone addiction: identifying smartphone addiction via a mobile application (App). J Psychiat Res. 2015;65:139–45.10.1016/j.jpsychires.2015.04.003Suche in Google Scholar PubMed

[9] Kwon M, Kim DJ, Cho H, Yang S. The smartphone addiction scale: development and validation of a short version for adolescents. PloS One. 2013;8:e83558.10.1371/journal.pone.0083558Suche in Google Scholar PubMed PubMed Central

[10] Davey S, Davey A. Assessment of smartphone addiction in Indian adolescents: a mixed method study by systematic-review and meta-analysis approach. Int J Prev Med. 2014;5:1500–11.Suche in Google Scholar

[11] Suppli CH, Due P, Henriksen PW, Rayce SL, Holstein BE, et al. Low vigorous physical activity at ages 15, 19 and 27: childhood socio-economic position modifies the tracking pattern. Eur J Public Health. 2013;23(1):19–24.10.1093/eurpub/cks040Suche in Google Scholar PubMed

[12] Kim AY. [240 thousand adolescents are in danger of smartphone addiction]. Naeil Shinmun. July 03., 2013 Korean. Available from: http://news.naver.com/main/read.nhn?mode=LSD&mid=sec&sid1=102&oid=086&aid=0002161531.Suche in Google Scholar

[13] Majumdar A. Japan plans ‘fasting camps’ for Web-addicted children. Tech 2., 2013 Available from: http://tech2.in.com/news/general/japan-plans-fasting-camps-for-webaddicted-children/912284.Suche in Google Scholar

[14] Kuss DJ. Internet gaming addiction: current perspectives. Psychol Res Behav Manag. 2013;6:125–137.10.2147/PRBM.S39476Suche in Google Scholar PubMed PubMed Central

[15] Ostrov E, Offer D, Howard KI. Gender differences in adolescent symptomatology: a normative study. J Am Acad Child Psy. 1989;28:394–8.10.1097/00004583-198905000-00016Suche in Google Scholar PubMed

[16] Lee H, Ahn H, Choi S, Choi W. The SAMS: Smartphone Addiction Management System and verification. J Med Syst. 2014;38:1–10.10.1007/s10916-013-0001-1Suche in Google Scholar PubMed

[17] Augner C, Hacker GW. Associations between problematic mobile phone use and psychological parameters in young adults. Int J Public Health. 2012;57:437–41.10.1007/s00038-011-0234-zSuche in Google Scholar PubMed

[18] Hong FY, Chiu SI, Huang DH. A model of the relationship between psychological characteristics, mobile phone addiction and use of mobile phones by Taiwanese university female students. Comput Hum Behav. 2012;28:2152–9.10.1016/j.chb.2012.06.020Suche in Google Scholar

[19] Samaha M, Hawi NS. Relationships among smartphone addiction, stress, academic performance, and satisfaction with life. Comput Hum Behav. 2016;57:321–5.10.1016/j.chb.2015.12.045Suche in Google Scholar

[20] Lemola S, Perkinson-Gloor N, Brand S, Dewald-Kaufmann JF, Grob A. Adolescents’ electronic media use at night, sleep disturbance, and depressive symptoms in the smartphone age. J Youth Adolesc. 2015;44:405–18.10.1007/s10964-014-0176-xSuche in Google Scholar PubMed

Received: 2016-10-30
Accepted: 2016-12-27
Published Online: 2017-04-06

©2019 Walter de Gruyter GmbH, Berlin/Boston

Artikel in diesem Heft

  1. Editorial
  2. Infectious mononucleosis: be aware of its lethality!
  3. Original Articles
  4. Is there a link between self-perceived stress and physical activity levels in Scottish adolescents?
  5. Does verruca vulgaris affect social anxiety and self-esteem in adolescents?
  6. Smart phone usage and addiction among dental students in Saudi Arabia: a cross sectional study
  7. Review
  8. Health policy making for street children: challenges and strategies
  9. Original Articles
  10. Menarche as a predictor of risk-taking behavior in a sample of Hungarian adolescent girls
  11. Level of Internet use among Greek adolescents with type 1 diabetes
  12. Clinical outcomes of an inpatient pediatric obesity treatment program in the USA
  13. Obesity prevalence and contributing factors among adolescents in secondary schools in Pemagatshel district, Bhutan
  14. Contraception usage among young adult men of a Nigerian university
  15. Monitoring screen use: a qualitative exploration of family strategies in Swiss homes
  16. Proposed model for the cultural adaptation of an Internet-based depression prevention intervention (CATCH-IT) for Arab adolescents
  17. Physical fitness and obesity levels during an academic year followed by summer holidays: an issue of insufficient time for physical activity
  18. Differences in physical activity, eating habits and risk of obesity among Kuwaiti adolescent boys and girls: a population-based study
  19. Cardiac anomalies and associated comorbidities in a large adolescent population
https://doi.org/10.1515/ijamh-2016-0133
Schlagwörter für diesen Artikel
smart phone; smart phone addiction; SAS-SV

Artikel in diesem Heft

  1. Editorial
  2. Infectious mononucleosis: be aware of its lethality!
  3. Original Articles
  4. Is there a link between self-perceived stress and physical activity levels in Scottish adolescents?
  5. Does verruca vulgaris affect social anxiety and self-esteem in adolescents?
  6. Smart phone usage and addiction among dental students in Saudi Arabia: a cross sectional study
  7. Review
  8. Health policy making for street children: challenges and strategies
  9. Original Articles
  10. Menarche as a predictor of risk-taking behavior in a sample of Hungarian adolescent girls
  11. Level of Internet use among Greek adolescents with type 1 diabetes
  12. Clinical outcomes of an inpatient pediatric obesity treatment program in the USA
  13. Obesity prevalence and contributing factors among adolescents in secondary schools in Pemagatshel district, Bhutan
  14. Contraception usage among young adult men of a Nigerian university
  15. Monitoring screen use: a qualitative exploration of family strategies in Swiss homes
  16. Proposed model for the cultural adaptation of an Internet-based depression prevention intervention (CATCH-IT) for Arab adolescents
  17. Physical fitness and obesity levels during an academic year followed by summer holidays: an issue of insufficient time for physical activity
  18. Differences in physical activity, eating habits and risk of obesity among Kuwaiti adolescent boys and girls: a population-based study
  19. Cardiac anomalies and associated comorbidities in a large adolescent population
Jetzt anmelden und 20% sparen
Institutioneller Zugang
Wie funktioniert Authentifizierung?
Haben Sie eine Idee, wie wir unsere Website verbessern können?
Bitte schreiben Sie uns.
© 2025 De Gruyter Brill
Heruntergeladen am 6.10.2025 von https://www.degruyterbrill.com/document/doi/10.1515/ijamh-2016-0133/html
Button zum nach oben scrollen