NCT03260296

Brief Summary

Smartphones have become a part of our daily life, the number of people using smartphones is increasing day after day. Easy access to internet is the main advantage of smartphones in comparison to traditional mobile phones, so they are considered as handheld convenient substitutes to computers. People use smartphones for many different purposes such as communication, entertainment, browsing for information, education or business facilitation. Unfortunately the excessive use of smartphones makes people 'addicted' to that type of technology. Past research has shown that older people have less positive attitudes towards a variety of technologies and they are less likely than younger people to embrace new technology, so It seems that the problem of smartphones addiction is most likely to affect young people who are fascinated with new technologies.

Trial Health

43
At Risk

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Trial has exceeded expected completion date
Enrollment
693

participants targeted

Target at P75+ for all trials

Timeline
Completed

Started Oct 2018

Shorter than P25 for all trials

Geographic Reach
1 country

1 active site

Status
unknown

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

First Submitted

Initial submission to the registry

August 20, 2017

Completed
4 days until next milestone

First Posted

Study publicly available on registry

August 24, 2017

Completed
1.1 years until next milestone

Study Start

First participant enrolled

October 1, 2018

Completed
7 months until next milestone

Primary Completion

Last participant's last visit for primary outcome

May 1, 2019

Completed
5 months until next milestone

Study Completion

Last participant's last visit for all outcomes

October 1, 2019

Completed
Last Updated

August 24, 2017

Status Verified

August 1, 2017

Enrollment Period

7 months

First QC Date

August 20, 2017

Last Update Submit

August 23, 2017

Conditions

Behavior ProblemAddiction

Keywords

smartphones addiction

Outcome Measures

Primary Outcomes (1)

  • Smartphones addiction scale (SAS)

    Prevalence of smartphones addiction and its adverse effects will be evaluated by a self-administered questionnaire guided by smartphones addiction scale developed by Kwon et al.

    6 months

Secondary Outcomes (1)

  • Factors associated with smartphones addiction questionnaire

    6 months

Study Arms (1)

University students

university students who use smartphones

Other: self-administered structured questionnaire

Interventions

self-administered structured questionnaireOTHER

Data will be collected by self-administered structured questionnaire. The aim of the study and the way of filling the questionnaire will be explained to the students, and then he/she fills the questionnaire by him/her self. The questionnaire will assess smartphones addiction and some of its associated factors and its health consequences

University students

Eligibility Criteria

Age17 Years - 23 Years
Sexall
Healthy VolunteersNo
Age GroupsChild (0-17), Adult (18-64)
Sampling MethodProbability Sample
Study Population

Egyptian Students of Assiut University will be the target population Target students will be selected randomly by using a multistage stratified cluster sampling technique. At the first stage, Faculties within Assiut University will be stratified into 3 strata; Practical , Theoretical and Medical then faculties will be chosen randomly from each stratum to end up with 4 faculties (2 theoretical, 1 practical and 1 medical). In the second stage, cluster sample will be chosen from one academic year within each faculty (practical sections or small classes). The clusters will be chosen through simple random sample.

You may qualify if:

  • Egyptian students
  • Students in one selected academic year
  • Students have smartphones

You may not qualify if:

  • Non-Egyptian students
  • Students in academic years other than the selected one
  • Students having traditional mobile phones or not having mobile phones at all

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

Assiut University

Asyut, 71111, Egypt

Location

Related Publications (9)

  • Lin YH, Lin YC, Lee YH, Lin PH, Lin SH, Chang LR, Tseng HW, Yen LY, Yang CC, Kuo TB. Time distortion associated with smartphone addiction: Identifying smartphone addiction via a mobile application (App). J Psychiatr Res. 2015 Jun;65:139-45. doi: 10.1016/j.jpsychires.2015.04.003. Epub 2015 Apr 10.

    PMID: 25935253RESULT

  • Griffiths M. Gambling on the internet: A brief note. J Gambl Stud. 1996 Dec;12(4):471-3. doi: 10.1007/BF01539190. No abstract available.

    PMID: 24234164RESULT

  • Demirci K, Akgonul M, Akpinar A. Relationship of smartphone use severity with sleep quality, depression, and anxiety in university students. J Behav Addict. 2015 Jun;4(2):85-92. doi: 10.1556/2006.4.2015.010.

    PMID: 26132913RESULT

  • Kim SE, Kim JW, Jee YS. Relationship between smartphone addiction and physical activity in Chinese international students in Korea. J Behav Addict. 2015 Sep;4(3):200-5. doi: 10.1556/2006.4.2015.028.

    PMID: 26551911RESULT

  • Kim HJ; DH; Kim JS. The relationship between smartphone use and subjective musculoskeletal symptoms and university students. J Phys Ther Sci. 2015 Mar;27(3):575-9. doi: 10.1589/jpts.27.575. Epub 2015 Mar 31.

    PMID: 25931684RESULT

  • Haug S, Castro RP, Kwon M, Filler A, Kowatsch T, Schaub MP. Smartphone use and smartphone addiction among young people in Switzerland. J Behav Addict. 2015 Dec;4(4):299-307. doi: 10.1556/2006.4.2015.037.

    PMID: 26690625RESULT

  • Nikhita CS, Jadhav PR, Ajinkya SA. Prevalence of Mobile Phone Dependence in Secondary School Adolescents. J Clin Diagn Res. 2015 Nov;9(11):VC06-VC09. doi: 10.7860/JCDR/2015/14396.6803. Epub 2015 Nov 1.

    PMID: 26672469RESULT

  • Long J, Liu TQ, Liao YH, Qi C, He HY, Chen SB, Billieux J. Prevalence and correlates of problematic smartphone use in a large random sample of Chinese undergraduates. BMC Psychiatry. 2016 Nov 17;16(1):408. doi: 10.1186/s12888-016-1083-3.

    PMID: 27855666RESULT

  • Kwon M, Lee JY, Won WY, Park JW, Min JA, Hahn C, Gu X, Choi JH, Kim DJ. Development and validation of a smartphone addiction scale (SAS). PLoS One. 2013;8(2):e56936. doi: 10.1371/journal.pone.0056936. Epub 2013 Feb 27.

    PMID: 23468893RESULT

MeSH Terms

Conditions

Mental DisordersBehavior, Addictive

Condition Hierarchy (Ancestors)

Compulsive BehaviorImpulsive BehaviorBehavior

Central Study Contacts

Hosnia Said, MD

CONTACT

+201062170293hosniasa@yahoo.com

Dalia Galal, MD

CONTACT

+201007120821daliaym2001@yahoo.com

Study Design

Study Type
observational
Observational Model
OTHER
Time Perspective
CROSS SECTIONAL
Sponsor Type
OTHER
Responsible Party
PRINCIPAL INVESTIGATOR
PI Title
principle investigator

Study Record Dates

First Submitted

August 20, 2017

First Posted

August 24, 2017

Study Start

October 1, 2018

Primary Completion

May 1, 2019

Study Completion

October 1, 2019

Last Updated

August 24, 2017

Record last verified: 2017-08

Locations

EG(1)