Smartphones Addiction in Assiut University Students
Smartphones Addiction and Its Correlations Among Assiut University Students
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Detailed Description
What is smartphones addiction? The concept of smartphones addiction is not proposed yet for inclusion in the fifth edition of the Diagnostic and Statistical Manual of Mental Disorders (DSM-5) as non-substance-related disorder but it can be considered one type of technological addictions which were operationally defined by Griffiths as non-chemical (behavioral) addictions which involve human-machine interaction and usually contain inducing and reinforcing features which may contribute to the promotion of addictive tendencies.
Furthermore, Recent work by Lin, et al identified the criteria for diagnosis smartphones addiction as following:
A. Behavioral criteria (3 or more should be present):
- Preoccupation with smartphone use, and hence keeping smartphone available all day
- Recurrent failure to resist the impulse to use the smartphone
- Tolerance: a markedly increase in the duration of smartphone use is needed to achieve satisfaction
- Withdrawal: as manifested by a dysphoric mood, anxiety and/or irritability after a period without smartphone use
- Smartphone use for a period longer than intended
- Persistent desire and/or unsuccessful attempts to cut down or reduce smartphone use
- Excessive smartphone use and/or time spent on leaving the use
- Continued excessive smartphone use despite knowledge of having a persistent or recurrent physical or psychological problems caused by smartphone use
B. Functional impairment criteria (2 or more criteria should be present):
- Excessive use resulting in persistent or recurrent physical or psychological problems
- Use in a physically hazardous situations (such as while driving or crossing the street) or situations that have other negative impacts on daily life
- Use that impairs social relationships or performance at school or work
- Use that is very time-consuming or causes significant distress C. Exclusion criteria Addictive behavior is not associated with obsessive-compulsive disorder or bipolar disorder
Factors associated with smartphones addiction:
- There are many psychological factors related to smartphones addiction such as anxiety, stress, poor social and family relationship, depression, loneliness, shyness, degree of self-esteem and satisfaction with life.
- Studies have also shown the adverse effects of smartphones addiction on quality of sleep, physical activity and academic performance.
- Smartphones addiction also have harmful physical consequences like headache, blurred vision, neck and shoulder pain and impairment of hand function.
Size of problem:
Prevalence of smartphones addiction in young people varies among countries as shown by studies: 29.6% in Saudi Arabia, 44.6% in Lebanon,16.9% in Switzerland, 21.3% in China and 31.33% in India.
-there is no available data about the size of this of this problem in Egypt so investigators need to conduct this study to determine the prevalence of smartphones addiction among young people and it adverse effect on different aspects.
Study Type
Study Type
Enrollment (Anticipated)
Enrollment
Contacts and Locations
Study Contact
Study Contact
- Name: Hosnia Said, MD
- Phone Number: +201062170293
- Email: hosniasa@yahoo.com
Study Contact Backup
- Name: Dalia Galal, MD
- Phone Number: +201007120821
- Email: daliaym2001@yahoo.com
Study Locations
-
-
-
Assiut, Egypt, 71111
- Assiut University
-
-
Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Sampling Method
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.
Description
Inclusion Criteria:
- -Egyptian students
- Students in one selected academic year
- Students have smartphones
Exclusion Criteria:
- -Non-Egyptian students
- Students in academic years other than the selected one
- Students having traditional mobile phones or not having mobile phones at all
Study Plan
How is the study designed?
Design Details
Number of groups / cohorts
Cohorts and Interventions
Group / CohortGroup / Cohort |
Intervention / TreatmentIntervention / Treatment |
|---|---|
|
University students
university students who use smartphones
|
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 |
What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Smartphones addiction scale (SAS)
Time Frame: 6 months
|
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 Outcome Measures
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Factors associated with smartphones addiction questionnaire
Time Frame: 6 months
|
the study will assess some associated factors that may be risk factors to smartphones addiction as depression and loneliness
|
6 months
|
Collaborators and Investigators
Sponsor
Sponsor
Publications and helpful links
General Publications
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
Study record dates
Study Major Dates
Study Start (Anticipated)
Study Start
Primary Completion (Anticipated)
Primary Completion
Study Completion (Anticipated)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Actual)
First Posted
Study Record Updates
Last Update Posted (Actual)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
Other Study ID Numbers
Other Study ID Numbers
- 7990
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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