
ALT The effects of social media abstinence on affective well-being and life satisfaction: a systematic review and meta-analysis. Abstaining from social media has become a popular digital disconnection strategy of individuals to enhance their well-being. To date, it is unclear whether social media abstinences are truly effective in improving well-being, however, as studies produce inconsistent outcomes. This preregistered systematic review and meta-analysis therefore aims to provide a more precise answer regarding the impact of social media abstinence on well-being. The databases of PubMed, Scopus, Web of Science, Communication Source, Cochrane Library, and Google Scholar were searched for studies examining the effect of social media abstinence on three outcomes, namely positive affect, negative affect, and/or life satisfaction. In total, ten studies (N = 4674) were included, allowing an examination of 38 effect sizes across these three outcomes. The analyses revealed no significant effects
![Figure 1. Forest plot showing results from a meta-analysis of studies on digital interventions and their effect on positive affect. Each row lists a study with its estimated effect size (Hedges' g), 95% confidence interval (CI), and weight in the meta-analysis. Most individual study estimates are close to zero, with some negative and some positive. The overall effect size is 0.03 [95% CI: -0.11, 0.16], suggesting a small, non-significant positive effect. The prediction interval spans from -0.42 to 0.47. The plot indicates moderate heterogeneity (I² = 61%, p < .01). A diamond represents the overall effect at the bottom of the plot.](https://pbs.twimg.com/media/Gm47HvUbwAAqBrk.jpg?name=small&format=webp)
ALT Figure 1. Forest plot showing results from a meta-analysis of studies on digital interventions and their effect on positive affect. Each row lists a study with its estimated effect size (Hedges' g), 95% confidence interval (CI), and weight in the meta-analysis. Most individual study estimates are close to zero, with some negative and some positive. The overall effect size is 0.03 [95% CI: -0.11, 0.16], suggesting a small, non-significant positive effect. The prediction interval spans from -0.42 to 0.47. The plot indicates moderate heterogeneity (I² = 61%, p < .01). A diamond represents the overall effect at the bottom of the plot.

ALT Figure 2. Funnel plot displaying the relationship between standard error (y-axis) and effect size (Hedges' g, x-axis) for individual studies in a meta-analysis. Each dot represents a study. The plot includes a vertical dashed line at zero, a solid triangle indicating the estimated overall effect, and shaded areas representing regions of increasing statistical significance. The distribution of studies appears slightly asymmetrical, with more studies showing positive effect sizes. A dashed diagonal line and funnel-shaped contours illustrate expected dispersion under no publication bias.
































