Perfect, this is what I was looking for - thank you :)

Thanks for your help!

This might work - thanks for sending!

Thank you! I should have mentioned that I have drafted this in Avicenna and m-Path already. Although Avicennda does allow for this, it also requires creating separate follow-up questionnaires for each time interval. At 30min intervals this results in 96 versions, which I am trying to avoid

cc @eikofried.bsky.social @ruben.the100.ci who might know?

Huge thank you to my amazing supervisor @orbenamy.bsky.social and collaborators @machterberg.bsky.social, Lydia Speyer, and @tobywise.bsky.social!

Our findings suggest that individual differences in cognitive processes can generate insights into the mechanisms linking social media use and mental health outcomes. Moving beyond demographic differences opens new avenues for understanding and intervening on this complex relationship.

Whereas time spent on social media increased with age, it did not relate to preference for immediate rewards. This suggests such tendencies may influence engagement through mechanisms beyond time spent—such as differences in how platforms are used or experienced.

Adolescents with a stronger preference for immediate rewards showed greater declines in behavioural activation (motivation to pursue goals or pleasurable experiences) as social media use increased. This vulnerability was stable over time but not seen across other indicators of mental health.

We tested this premise in a preregistered longitudinal study that combined modelling of behavioural and longitudinal data of over 500 adolescents across three measurement occasions.

Most research focuses on demographic differences (e.g. age, gender), which provide a lens for examining population differences.

We propose that differences span hierarchical levels - where nuanced cognitive processes may yield deeper insight into individual risk and resilience. See schematic below.