This study aimed to explore the dynamics of the relationship among smartphone addiction, quality of life, and personality characteristics in university students. This correlational and descriptive research was conducted to investigate the relationship between smartphone addiction, quality of life, and personality traits among university students. Using a nonprobability random sampling method, 496 university students were selected. Data collection involved the Student Information Form, Smartphone Addiction Scale, Symptom Checklist (SCL-90-R), Revised Eysenck Personality Questionnaire-Abridged Form (EPQR-A), and the WHO Quality of Life Scale-Short Form (WHOQOL-BREF). Statistical analysis was conducted with SPSS 25.0, utilizing Chi-square tests, independent sample t-tests, and Pearson's correlation analysis. Out of 496 students (average age of 20.52), 59.87% were identified as smartphone addicts based on the Smartphone Addiction Scale-Short Version. A notable difference was found by study year (P = 0.009) and socioeconomic status (P = 0.003). Participants with smartphone addiction registered higher SCL-90-r scores for conditions like Obsessive Compulsive Disorder, Interpersonal Sensitivity, and Psychoticism. The Eysenck Personality Inventory highlighted that the Psychoticism score was significantly higher in the group with smartphone addiction (P = 0.001). A negative correlation between smartphone addiction scores and general health (WHOQoL) was identified, whereas a positive correlation with SCL-90-R's Psychoticism dimension score was observed (P < 0.001). Smartphone addiction is widespread among university student population. The study indicates that smartphone addiction not only impacts the individual's quality of life but also is associated with personality disorders, and these problems intensify with the severity of addiction. The findings underscore the need for interventions and educational programs to address smartphone addiction in this population.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11055973 | PMC |
| http://dx.doi.org/10.18502/ijps.v19i2.15107 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Online interest in ADHD predicts ADHD medication prescriptions in Australia from 2004 to 2023: A time-series analysis revealing COVID-19-related acceleration.
Australas Psychiatry
January 2025
College of Medicine and Public Health, Flinders University, Adelaide, SA, Australia; Consortium of Australian-Academic Psychiatrists for Independent Policy Research and Analysis, Canberra, ACT, Australia; Department of Psychiatry, Monash University, Clayton, VIC, Australia.
Objective: Attention-deficit hyperactivity disorder (ADHD) medication prescriptions in Australia have grown sharply in recent years. We examined the association between online interest in ADHD and prescriptions.
Methods: Monthly Pharmaceutical Benefits Scheme (PBS) and Repatriation PBS (RPBS) Item Reports of ADHD prescriptions and Australian ADHD-related Google Trends (GT) data (2004-2023) were sourced.
Physical and emotional abuse with internet addiction and anxiety as a mediator and physical activity as a moderator.
Sci Rep
January 2025
School of Sports Science, Jishou University, Jishou, China.
This study aimed to explore the relationship between physical and emotional abuse (physical-emotional abuse) and Internet addiction in university students, as well as the mediating role of anxiety and the moderating role of physical activity. The data of physical-emotional abuse, anxiety and Internet addiction, and physical activity were measured by subjective questionnaire with convenience sampling in March 2024. A total of 1591 participants (806 males and 692 females) from Shanxi, Henan, Hunan and Hubei provinces in China were investigated.
View Article and Find Full Text PDFExamining the relationship between adolescents' social media addiction levels and cyberbullying experiences.
Rev Esc Enferm USP
January 2025
Manisa Public Hospital, Manisa, Türkiye.
Objective: The present study examines the relationship between social media addiction and cyberbullying among adolescents.
Method: This descriptive study was conducted with the participation of 1,058 adolescents aged 14 to 17, between September 1, 2018, and January 1, 2019, in the Central Anatolian region of Türkiye. Data were collected using the Adolescent Data Collection Form, the Revised Cyber Bullying Inventory II, and the Social Media Disorder Scale for Adolescents - Short Form.
App-Based Coaching to Prevent Addictive Behaviors in Vocational School Students: A Cluster Randomized Trial.
J Adolesc Health
January 2025
Department of Psychiatry and Psychotherapy, University of Lübeck, Lübeck, Germany.
Purpose: This two-arm cluster randomized controlled trial evaluated the effectiveness of an app-based addiction prevention program in German vocational school students.
Methods: Schools from 5 German federal states were recruited. No eligibility criteria for classes were applied; enrollment decisions were made by school heads or teachers.
The effectiveness of a drink-counting and a breathalyser-coupled smartphone application for reduced heavy drinking among alcohol-dependent adults in Sweden: A randomised controlled trial.
Addiction
January 2025
Department of Global Public Health, Karolinska Institutet, Stockholm, Sweden.
Background And Aims: Studies using smartphone apps in treatment for alcohol dependence are lacking. This study aimed to test the consumption-reducing effects of using two app-based alcohol interventions as complement to treatment as usual (TAU).
Design: Three-armed, parallel, randomised controlled trial.
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!