Back to Search
Start Over
Excessive Smartphone Use is Associated with Depression, Anxiety, Stress, and Sleep Quality of Australian Adults.
- Source :
- Journal of Medical Systems; 10/20/2023, Vol. 47 Issue 1, p1-9, 9p, 1 Diagram, 2 Charts, 1 Graph
- Publication Year :
- 2023
-
Abstract
- Problematic smartphone use has been associated with poorer mental health in different population groups; however, little is known about how levels of smartphone use were associated with mental health outcomes of adults in Australia. Using data from a cross-sectional survey among Australian adults aged 18–59 years (n = 655, Mean = 24.55 [SD = 5.59] years; 66% female), the current study aimed to examine association between problematic smartphone use and different psychological outcomes. Participants completed measures of problematic smartphone use with Mobile Phone Problem Use Scale (MPPUS), mental health outcomes with Depression, Anxiety, and Stress Scale (DASS-21), and Pittsburgh Sleep Quality Index (PSQI), in addition to some socio-demographics. Smartphone use was categorised into three groups: low-moderate, moderate-high, and high-severe. A total of 160 adults (24.4%) reported high-severe smartphone use. Multivariable linear regression analyses showed that smartphone use was inversely associated with psychological outcomes in a dose-dependent manner with high-severe smartphone uses having the most adverse effects. Compared to low-moderate use, average depression score was 3.5 points higher for moderate-high smartphone use (β = 3.51, 95% CI: 1.63–5.40) and 6.9 points higher for high-severe smartphone use (β = 6.91, 95% CI: 4.74–9.07). Similarly, average stress score was 3.4 points higher for moderate-high smartphone use (β = 3.40, 95% CI: 1.75–5.06) and 7.0 points higher for high-severe smartphone use (β = 7.02, 95% CI: 5.11–8.93). Similar association estimates were found for anxiety and sleep quality. Reducing smartphone use has the potential to optimise depression, anxiety, stress, and sleep quality; however, longitudinal research is warranted to establish directionality of the association. [ABSTRACT FROM AUTHOR]
- Subjects :
- MENTAL depression risk factors
SLEEP quality
CONFIDENCE intervals
CROSS-sectional method
SMARTPHONES
MENTAL health
REGRESSION analysis
RISK assessment
CRONBACH'S alpha
DESCRIPTIVE statistics
SCALE analysis (Psychology)
ANXIETY
SOCIODEMOGRAPHIC factors
DATA analysis software
COMPULSIVE behavior
PSYCHOLOGICAL stress
ADULTS
Subjects
Details
- Language :
- English
- ISSN :
- 01485598
- Volume :
- 47
- Issue :
- 1
- Database :
- Complementary Index
- Journal :
- Journal of Medical Systems
- Publication Type :
- Academic Journal
- Accession number :
- 173963159
- Full Text :
- https://doi.org/10.1007/s10916-023-02005-3