Gender differences in factors associated with smartphone addiction: a cross-sectional study among medical college students
Chen B, Liu F, Ding S, Ying X, Wang L, Wen Y
BMC psychiatry · 284 citations
How it was studied
- Design
- Cross-sectional study (indexed by PubMed)
- Studied in
- People
- Main outcome
- Health markers and function
Who paid for it
- Funding
- Independent funding
Based on full-text disclosure statement.
Publication
- Published
- 2017-10-10 · BMC Psychiatry · vol. 17 · issue 1 · p. 341
- Publisher
- BioMed Central
- Cited
- 581 citations · more than 100% of similar papers · 82.8× the field average
- Impact
- Top 10% most cited in its field
- References
- 47 works
- Access
- Open access (journal) · CC-BY
- Research areas
- Impact of Technology on Adolescents · Perfectionism, Procrastination, Anxiety Studies · COVID-19 and Mental Health
- Keywords
- smartphone addiction, gender differences, medical students, undergraduate students, prevalence, social networking services, multimedia applications, anxiety, depression, sleep quality, Smartphone Addiction Scale
- MeSH
- humans, prevalence, cross-sectional studies, depression, behavior, addictive, anxiety, sex factors, students, medical, china, female, male, young adult, smartphone, surveys and questionnaires
6 authors
From CN
- Baifeng ChenWannan Medical College
- Fei LiuWannan Medical College
- Shushu DingWannan Medical College
- Xia YingWannan Medical College
- Lele WangWannan Medical College
- Yufeng Wen · correspondingWannan Medical College
Abstract
Background
Smartphones are becoming increasingly indispensable in everyday life for most undergraduates in China, and this has been associated with problematic use or addiction. The aim of the current study was to investigate the prevalence of smartphone addiction and the associated factors in male and female undergraduates.
Methods
This cross-sectional study was conducted in 2016 and included 1441 undergraduate students at Wannan Medical College, China. The Smartphone Addiction Scale short version (SAS-SV) was used to assess smartphone addiction among the students, using accepted cut-offs. Participants' demographic, smartphone usage, and psycho-behavioral data were collected. Multivariate logistic regression models were used to seek associations between smartphone addiction and independent variables among the males and females, separately.
Results
The prevalence of smartphone addiction among participants was 29.8% (30.3% in males and 29.3% in females). Factors associated with smartphone addiction in male students were use of game apps, anxiety, and poor sleep quality. Significant factors for female undergraduates were use of multimedia applications, use of social networking services, depression, anxiety, and poor sleep quality.
Conclusions
Smartphone addiction was common among the medical college students investigated. This study identified associations between smartphone usage, psycho-behavioral factors, and smartphone addiction, and the associations differed between males and females. These results suggest the need for interventions to reduce smartphone addiction among undergraduate students.
Abstract via Europe PMC. Copyright remains with the authors or publisher (CC BY).
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