Smartphone Addiction and Its Effect on Mental Health: An Evidence Based Intervention for Amelioration
CyberLife Care
1 other identifier
interventional
120
1 country
1
Brief Summary
The use of Smartphone has been adopted faster than any other device in the history of digital electronics. Hence it is estimated that in 2016, 2.1 billion were found registered Smartphone users in the world and Pakistan was ranked 10th in the list of top 10 countries with largest number of mobile phone subscribers. Despite of its useful and timely utilization, the excessive use of Smartphone coerce the Individual to be dependent on the use of Smartphone psychologically and even physically. Furthermore, among the users, adolescents and young adults used Smartphone (90%) more than any other age groups. Moreover, this prevalence is expected to rise in the future due to the easy availability and swift changes and addition of new applications to Smartphone technology. Subsequently, the excessive and irrational use of Smartphone leads to Smartphone addiction which impact on individual mental health, physical health, and disrupt social, economic and educational functions. So, this study aims to assess the effectiveness of Cognitive Behavioral Therapy (CBT) as an evidence based remedy in the treatment of Smartphone addiction. The study will comprise of two groups; one will receive CBT (intervention group) and the other one will be on Treatment As Usual (TAU). The aim of the study is to assess the effectiveness of CBT primarily by measuring the addictive smartphone usage assessed by Smart Phone Addiction Scale (SAS) and also on secondary outcomes including time management, academic performance and social functioning of adolescents. These assessments will be conducted before intervention (on the baseline assessment sessions), during the Intervention and after the intervention (on follow up assessment sessions). A total of 120 students were calculated on the basis of 80% statistical power required to detect the effect as indicated by previous study and will be selected from different educational institutions. SPSS 23.0 will be used for data analysis. The primary analysis will be mixed ANOVA to compare the between group and within group means differences on measures used in the study. Multiple Hierarchical Regression analysis will also be used for the prediction of outcome variables from the demographics. The total duration of the study is one year. This study primarily aims to assess the effectiveness of Cognitive Behavioral Therapy (CBT) as an evidence based remedy in the treatment for Smartphone addiction. The basic purpose is to minimize the severity of Smartphone addiction up to manageable level. Furthermore, there are certain psychiatric symptoms that are found to be associated with the addictive usage of Smartphone like stress, depression, anxiety, hyperactivity, attention deficits and conduct problems. The study design will also allow to assess the effectiveness of CBT on such outcomes: (a) The depression, anxiety and stress level of the participants (b) The time management of the participants (c) The emotional symptoms, conduct problems, hyperactivity and attention deficit problems, peer relationship problems and pro-social behavior aspects of the participants (d) The satisfaction level of the participants.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P50-P75 for not_applicable
Started Sep 2017
Shorter than P25 for not_applicable
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
September 20, 2017
CompletedFirst Submitted
Initial submission to the registry
October 4, 2017
CompletedFirst Posted
Study publicly available on registry
November 1, 2017
CompletedPrimary Completion
Last participant's last visit for primary outcome
July 30, 2018
CompletedStudy Completion
Last participant's last visit for all outcomes
July 30, 2018
CompletedFebruary 26, 2019
February 1, 2019
10 months
October 4, 2017
February 25, 2019
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Smartphone Addiction Scale (SAS; Assessing Change)
Smartphone Addiction Scale (SAS) is used to asses the severity of smartphone dependency and addiction. It consists of 33 items (Kwon et al., 2013). Individuals have to respond on the Likert scale between 1-6, where 1 indicates strongly disagree and 6 indicates strongly agree. The amounts of answers were divided to three levels of addiction: low (1-66), medium (67-132) and high (133-198). Internal reliability of SAS was found to be α = .99. This scale will be used as a primary outcome and will be included in the baseline and follow ups assessment to assess the degree of change from baseline to 3rd month and 6th month follow-ups.
Assessments will be conducted at baseline (after the screening), 6th week (1/2 month) after the baseline, 12th week (3rd month) after the baseline and at 6th month. The purpose of the outcome measure is to asses the change from baseline to follow-up.
Secondary Outcomes (4)
Depression Anxiety Stress Scales (DASS-42)
Assessments will be conducted at baseline (after the screening), 6th week (1/2 month) after the baseline, 12th week (3rd month) after the baseline and at 6th month.
Strengths and Difficulties Questionnaire
Assessments will be conducted at baseline (after the screening), 6th week (1/2 month) after the baseline, 12th week (3rd month) after the baseline and at 6th month.
Satisfaction with Life Scale (SWLC)
Assessments will be conducted at baseline (after the screening), 6th week (1/2 month) after the baseline, 12th week (3rd month) after the baseline and at 6th month.
Client Satisfaction Questionnaire (CSQ)
The questionnaire will be employed on the 6th week (1/2 month) after the baseline, 12th week (3rd month) after the baseline and at 6th month
Study Arms (2)
Intervention
EXPERIMENTALPatients in the intervention group will be provided Cognitive Behavioral Therapy (CBT). CBT is a common psychological intervention based on the notion that thoughts trigger the emotions. In CBT patients are trained to monitor their thoughts and identify those that trigger addictive feelings and actions while they learn new coping skills and ways to prevent a relapse (Beck, Wright, Newman \& Liese, 2001). The treatment period of CBT is three months consisting of a weekly session and total 12 sessions. Initial stage of therapy is behavioral, centering on specific behaviors and situations. Latter on there is more of a focus on the cognitive assumptions and distortions that have developed and the effects of these on behavior.
Control
NO INTERVENTIONControl group will not receive CBT however, primary care service providers and mental health professionals will provide any required routine care according to their clinical judgment and available resources.
Interventions
Cognitive Behavioral Therapy (CBT) consisting of weekly 12 sessions will focus on moderated and controlled use of smartphone instead of abstinence model.
Eligibility Criteria
You may qualify if:
- Score more than 31 (for male) and 33 (for female) on Smart Phone Addiction Scale Short Version (SAS-SV).
- Age range will be 12-19.
- Absence of diagnosis according to ICD-10 or DSM 5 mental disorder.
- Participants will have to be living within the catchment area.
- Capable to be engaged, participate or respond to the research question.
- Willing to give informed consent.
You may not qualify if:
- Temporary resident unlikely to be available for the follow ups.
- Participants diagnosed according to ICD 10 or DSM 5 criteria, due to general medical condition or substance misuse, dementia, delirium, alcohol or drug dependence, schizophrenia, bipolar disorder, learning disability.
- Unable to engage, participate or respond to the research question.
- Participants who attended psychiatric services
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Department of Psychology, International Islamic University Islamabad Pakistan
Islamabad, Federal, 44000, Pakistan
Related Publications (7)
Kwon M, Kim DJ, Cho H, Yang S. The smartphone addiction scale: development and validation of a short version for adolescents. PLoS One. 2013 Dec 31;8(12):e83558. doi: 10.1371/journal.pone.0083558. eCollection 2013.
PMID: 24391787BACKGROUNDLovibond PF, Lovibond SH. The structure of negative emotional states: comparison of the Depression Anxiety Stress Scales (DASS) with the Beck Depression and Anxiety Inventories. Behav Res Ther. 1995 Mar;33(3):335-43. doi: 10.1016/0005-7967(94)00075-u.
PMID: 7726811BACKGROUNDDiener E, Emmons RA, Larsen RJ, Griffin S. The Satisfaction With Life Scale. J Pers Assess. 1985 Feb;49(1):71-5. doi: 10.1207/s15327752jpa4901_13.
PMID: 16367493BACKGROUNDGani N, Saeed K, Minhas FA, Anjuman N, Waleed M, Fatima G. Assessment of patient satisfaction with mental health services in a tertiary care setting. J Ayub Med Coll Abbottabad. 2011 Jan-Mar;23(1):43-6.
PMID: 22830144BACKGROUNDGoodman R. The Strengths and Difficulties Questionnaire: a research note. J Child Psychol Psychiatry. 1997 Jul;38(5):581-6. doi: 10.1111/j.1469-7610.1997.tb01545.x.
PMID: 9255702BACKGROUNDWright FD, Beck AT, Newman CF, Liese BS. Cognitive therapy of substance abuse: theoretical rationale. NIDA Res Monogr. 1993;137:123-46.
PMID: 8289917BACKGROUNDKhalily MT, Bhatti MM, Ahmad I, Saleem T, Hallahan B, Ali SA, Khan AA, Hussain B. Indigenously adapted cognitive-behavioral therapy for excessive smartphone use (IACBT-ESU): A randomized controlled trial. Psychol Addict Behav. 2021 Feb;35(1):93-101. doi: 10.1037/adb0000677. Epub 2020 Jul 23.
PMID: 32700919DERIVED
Related Links
MeSH Terms
Conditions
Interventions
Condition Hierarchy (Ancestors)
Intervention Hierarchy (Ancestors)
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- SINGLE
- Who Masked
- OUTCOMES ASSESSOR
- Purpose
- TREATMENT
- Intervention Model
- PARALLEL
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Professor
Study Record Dates
First Submitted
October 4, 2017
First Posted
November 1, 2017
Study Start
September 20, 2017
Primary Completion
July 30, 2018
Study Completion
July 30, 2018
Last Updated
February 26, 2019
Record last verified: 2019-02
Data Sharing
- IPD Sharing
- Will share
- Shared Documents
- SAP