“…That is, the observed associations are typically based on between-persons correlations, which make determining causality and directionality difficult, and are susceptible to the influence of confounding observed or unobserved variables (Ophir et al, 2020). Literature reviews by academic, medical, and policy collaborations have highlighted both the lowquality evidence in this space and the need for a longitudinal perspective (Appel et al, 2020;Hawkes, 2019;Viner et al, 2019). In secondary data analyses, these problems are compounded by a general lack of adherence to consistent standards (Weston et al, 2019), which threatens the validity and robustness of reported associations, as the many choices leading to a reported analysis can engender misrepresentative estimates (Orben & Przybylski, 2019a).…”