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Clinical Trial Details — Status: Not yet recruiting

Administrative data

NCT number NCT03260296
Other study ID # 7990
Secondary ID
Status Not yet recruiting
Phase N/A
First received August 20, 2017
Last updated August 23, 2017
Start date October 2018
Est. completion date October 2019

Study information

Verified date August 2017
Source Assiut University
Contact Hosnia Said, MD
Phone +201062170293
Email hosniasa@yahoo.com
Is FDA regulated No
Health authority
Study type Observational

Clinical Trial 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.


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):

1. Preoccupation with smartphone use, and hence keeping smartphone available all day

2. Recurrent failure to resist the impulse to use the smartphone

3. Tolerance: a markedly increase in the duration of smartphone use is needed to achieve satisfaction

4. Withdrawal: as manifested by a dysphoric mood, anxiety and/or irritability after a period without smartphone use

5. Smartphone use for a period longer than intended

6. Persistent desire and/or unsuccessful attempts to cut down or reduce smartphone use

7. Excessive smartphone use and/or time spent on leaving the use

8. 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):

1. Excessive use resulting in persistent or recurrent physical or psychological problems

2. Use in a physically hazardous situations (such as while driving or crossing the street) or situations that have other negative impacts on daily life

3. Use that impairs social relationships or performance at school or work

4. 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.


Recruitment information / eligibility

Status Not yet recruiting
Enrollment 693
Est. completion date October 2019
Est. primary completion date May 2019
Accepts healthy volunteers No
Gender All
Age group 17 Years to 23 Years
Eligibility 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 Design


Intervention

Other:
self-administered structured questionnaire
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

Locations

Country Name City State
Egypt Assiut University Assiut

Sponsors (1)

Lead Sponsor Collaborator
Assiut University

Country where clinical trial is conducted

Egypt, 

References & Publications (9)

Demirci K, Akgönül 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. — View Citation

Griffiths M. Gambling on the internet: A brief note. J Gambl Stud. 1996 Dec;12(4):471-3. doi: 10.1007/BF01539190. — View Citation

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. — View Citation

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. — View Citation

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. — View Citation

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. — View Citation

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 — View Citation

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. — View Citation

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. — View Citation

Outcome

Type Measure Description Time frame Safety issue
Primary 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 Factors associated with smartphones addiction questionnaire the study will assess some associated factors that may be risk factors to smartphones addiction as depression and loneliness 6 months
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