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ABCD-ReproNim / projects

Tracking and managing project proposals for the ABCD-ReproNim course's 2020 project week.
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Typologies of temperament: Identifying adolescent temperament profiles that predict substance use risk factors #10

Open ldhill opened 3 years ago

ldhill commented 3 years ago

Research question(s)

1) Within the ABCD cohort, what are the study-specific temperamental dimensions and typologies? Do these dimensions differ by biological sex? 2) Do these typologies of temperament parallel prior work, or rather offer a novel solution? 3) Are the identified temperamental dimensions and typologies present during adolescence predictive of neurocognitive risk factors for psychopathology and substance use initiation?

Description

Adolescence is a unique developmental period during which early markers of psychiatric illnesses emerge, substance use is initiated, and neural development progresses from childhood to adulthood (Jaworska and MacQueen, 2015). Research has sought to identify early risk and protective factors of psychopathology and substance use to inform targeted treatments and interventions. Temperament is a multi-dimensional construct that is among such factors. The intention of this project is to identify temperamental dimensions and typologies within the ABCD study cohort using Latent Profile Analysis (LPA) (Spurk et al., 2020) on the Early Adolescent Temperament Questionnaire (EATQ) completed during the 2 Year Follow Up (data dictionary: abcdmhp02, DEAP: eatq*). Further, this project seeks to examine whether these dimensions and typologies of temperament significantly predict neurocognitive risk factors for psychopathology and substance use (e.g., reward sensitivity).

Suggested keywords/tags

Latent profile analysis Early adolescent temperament Mental health

Tools and algorithms

R Latent profile analysis (tidyLPA R package) Logistic regression

Flanneryg3 commented 3 years ago

Excited for this project proposal and would like to contribute :)

Arshitha commented 3 years ago

I really like the project idea and am interested in joining you guys if you are still looking for collaborators. My experience is mostly on the repronim aspects of the course but I'd like to learn more about running analyses on such large datasets through this project.

Flanneryg3 commented 3 years ago

Awesome! I am sure we would really appreciate another collaborator!

Arshitha commented 3 years ago

great! have you guys been working on anything related to the project that I need to catch up on? I haven't read the papers mentioned in the proposal but I'm going to get to it over the weekend.

ldhill commented 3 years ago

I think reading the papers linked above is a great start! In addition, becoming more familiar with the EATQ questionnaire and LPA analyses may be helpful. A recent example of an LPA done on ABCD data. Also, if there are any specific measures of psychopathology and/or substance use within the ABCD study you would like to examine in relation to temperament, start marking those down :). We are of course open to any new ideas you may have!

Arshitha commented 3 years ago

thanks, that's helpful!

Flanneryg3 commented 3 years ago

I was just watching these quick youtube videos on running an LPA in R and found them helpful. Part one: https://www.youtube.com/watch?v=17JRfEtte58 Part two: https://www.youtube.com/watch?v=Dkii5Wc8g9Q

also this webpage: https://rstudio-pubs-static.s3.amazonaws.com/553733_4d23ff5746ec4c8584969ce0768d6db5.html

I know we will want to control for various covariates, but I can't find any information about covariates in a LPA. But, what if we just regressed the effects of our covariates on each variable (EATQ subscales) out and ran the LPA on the residuals? Just a thought to think more about before project week :)