

he field of internet addiction has experienced significant debates on conflicting epidemiology. This meta-analysis investigated the prevalence rates of generalized internet addiction (GIA) and internet gaming disorder (IGD).
We included 113 epidemiologic studies covering 693,306 subjects published from 1996 to 2018 (for 31 nations) that reported prevalence rates for GIA or IGD. We examined pooled prevalence of GIA and IGD and the hypothesized moderators including year, geographic regions, types of scales, and sample representativeness.
All 133 effect sizes included 53,184 subjects with GIA or IGD. Weighted average prevalence for GIA and IGD were 7.02 % (95 % CI, 6.09 %–8.08 %) and 2.47 % (95 % CI, 1.46 %–4.16 %) respectively. For GIA, prevalence was increased over time and prevalence rates variated among different scales. IGD prevalence was neither moderated by year, regions, nor sample representativeness.
The prevalence of GIA was higher than the prevalence of IGD. The GIA prevalence was increasing over time and variated with different assessments. Our results reveal that GIA may reflect a pattern of increasing human-machine interaction.
Read the full article on Science Direct.

A brief 4-week intervention using screen time trackers showed that reducing social media use (SMU, experimental group) yielded significant improvements in appearance and weight esteem in distressed youth with heavy SMU, whereas unrestricted access to social media (control group) did not.
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As the world digitises, children and adolescents are increasingly using digital technologies. These devices offer benefits such as exposure to social contacts and support, potential learning opportunities and access to health promotion material. However, along with these benefits, emerging evidence is indicating that frequent, extended use of digital devices is associated with negative impacts on the health and wellbeing of children and adolescents.
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Although many youth may not be harmed by heavy SMU, distressed youth may be particularly vulnerable. The aim of this study was to experimentally examine the effects of reducing SMU on smartphones on symptoms of depression, anxiety, fear of missing out (FoMO), and sleep in youth with emotional distress. Compared to the control group, the intervention group showed significantly greater reductions in symptoms of depression, anxiety, and FoMO, and greater increases in sleep.
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