The association between adolescent well-being and digital technology use

By Amy C. Orben, Andrew K. Przybylski. Nature Human Behaviour, 2019

1,152 citations recorded by the source corpus.

Subfields: Education, Information Systems and Management, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/75e0601958dea426eeff0111ce879a4019dfbe83

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Citations in the corpus

Digital Mental Health and COVID-19: Using Technology Today to Accelerate the Curve on Access and Quality Tomorrow (2020, background): “…periods of isolation/prolonged home time, due to the adverse psychological effects of reduced exercise [29] or prolonged sedentary behavior [30], and the ongoing debate about certain types of screen time and social media usage (with quality of online interactions mattering more than time) [31].”
Computer-Mediated Communication, Social Media, and Mental Health: A Conceptual and Empirical Meta-Review (2020, background): “Recent specification curve analyses demonstrate that the relationship between CMC and MH can differ drastically, depending on how researchers operationalize them (e.g., Orben & Przybylski, 2019).”
Adolescent Mental Health in the Digital Age: Facts, Fears and Future Directions (2020, positive): “Over the last year, other research teams have analyzed these same data (Kreski et al., submitted; Orben & Przybylski, 2019) and reported similar small initial associations between social media use and depressive symptoms.”
Beyond Screen Time: Identity Development in the Digital Age (2020, background): “…(e.g. Drummond & Sauer, 2019; Ellis, 2019; Ellis, Davidson, Shaw, & Geyer, 2019; Heffer et al., 2019; Hilgard, Engelhardt, & Rouder, 2017; Kardefelt-Winther, 2017; Markey & Ferguson, 2017; Ophir, Lipshits-Braziler, & Rosenberg, 2020; Orben & Przybylski, 2019a, 2019b; Twenge & Campbell, 2019).”
Measurement Schmeasurement: Questionable Measurement Practices and How to Avoid Them (2020, background): “In their review of the relation between technology use and well-being, Orben and Przybylski (2019) reported that researchers pick and choose within and between questionnaires, “making the pre-specified constructs more of an accessory for publication than a guide for analyses” (p. 181).”
Prevalence of problematic smartphone usage and associated mental health outcomes amongst children and young people: a systematic review, meta-analysis and GRADE of the evidence (2019, background): “Explicitly the debate in the literature has concerned the relationship between amount of screen time, or amount of smartphone use, in CYP and clinically defined, mental health outcomes, with some studies reporting no association and others exhibiting a clear association [9, 10].”
Experimentally manipulating social media abstinence: results of a four-week diary study (2019, background): “This is consistent with recent research that suggests that the effect of social media on psychosocial outcomes is so small as to be trivial (Orben et al., 2019; Orben & Przybylski, 2019a).”
Are Social Media Ruining Our Lives? A Review of Meta-Analytic Evidence (2019, background): “Therefore, the robustness of findings on digital media effects should be routinely evaluated against flexibilities in data-analytic decision to derive more generalizable effects in individual studies (see Gnambs et al., 2018, or Orben & Przybylski, 2019a, for recent applications).”
Does time spent using social media impact mental health?: An eight year longitudinal study (2020, background): “Indeed, a recent analysis found that the effect of screen time (including social media) on mental health was as large in effect size as the impact that eating potatoes has on mental health (Orben & Przybylski, 2019).”
Same data, different conclusions: Radical dispersion in empirical results when independent analysts operationalize and test the same hypothesis (2021, methodology): “Thereby, a data analysis not only incorporates statistical or computational steps, but also cognitive processes (Grolemund & Wickham, 2014; Paglieri, 2004).”
Meta-analysis of the relationship between problem gambling, excessive gaming and loot box spending (2021, result): “However, the relatively few studies that have investigated the relationship between excessive gaming and loot box spending have yielded mixed results (Brooks & Clark, 2019; Li et al., 2019; Orben & Przybylski, 2019; Wilkins, Unpublished Thesis; Zendle, 2020).”
Ethics of the Attention Economy: The Problem of Social Media Addiction (2020, background): “Recent critical reviews of the research on social media have, in fact, pointed out that the correlational studies do not adequately distinguish cause from effect (Odgers & Jensen, 2020; Orben & Przybylski, 2019).”
Social media use and its impact on adolescent mental health: An umbrella review of the evidence. (2021, background): “(2020) 13 studies (2011–2018) Psychology Depression, anxiety, distress Yes (SMU), and problematic SMU No, but focus on depression, anxiety, and distress Time spent on SM and problematic use are ‘prominent risk factors’ for all three outcomes. Predominantly cross-sectional evidence Over-reliance on s”
A systematic review and meta-analysis of discrepancies between logged and self-reported digital media use (2021, background): “…these debates and developing a deeper understanding of the role of media use in human behaviour requires “transparent and robust analytical practices” 4 , but also confidence that the measures that are adopted to assess use of digital media are valid indicators of actual usage patterns 5,6 .”