Effects of Race and Socioeconomic status on mental health trajectories of adolescents and older children

[AdefunkeOmosefe]

Effects of race and Socioeconomic status on mental health trajectories of adolescents and older children

Research question(s)

To what extent does brain structure and/or cortisol moderate the relationship between race, SES and mental health trajectories in adolescents and older children?

Description

Studies have shown that socioeconomic status affects mental health and cognition in children especially young children (Lupien, 2001) but not much has been done to see the effects of both socioeconomic status and race on mental health trajectories in adolescents and older children. I would possibly also consider mediation of other factors.

Suggested keywords/tags

Cognition, Brain development, Poverty, Parental education, mental health, Socioeconomic status

[tsalo]

Would you mind adding a bit of information about the planned analyses, necessary skills, and skills you could use help with in this project? It should make it easier for prospective collaborators to determine how and if they can contribute. Specifically, our new template has sections named "Tools and algorithms to be used", "Skills we could use help with", and "Link to analysis plan" (if you have been working on a more detailed plan than would fit in this issue).

[AdefunkeOmosefe]

Thank you for your questions.
I would use linear mixed effects regression to see if the variables change over time and to see if the changes are due to socioeconomic status (SES) or race. In terms of tools and algorithms to be used, I would be looking at mediation analysis between cortisol, race & SES and mental health . [Triangular or Diamond relationship for structural equation modelling]
I would use R, though open to python coding.
I would appreciate help with analyzing fMRI data, Volumetric analysis of brain regions, Structural equation modelling/ multiple mediation, and analyzing cortisol data.
Adefunke DadeMatthews_Algorithm format.docx

[satra]

@AdefunkeOmosefe - you will find many of the variables (cortical thickness, volumes) already extracted in the release 3.0 data, so you may not need to reanalyze the data through CIVET.

[AdefunkeOmosefe]

Excellent. I did not know this! Thank you

[lilyeisner]

Hello Adefunke, my name is Lily and I would love to participate in this project during project week. Here is my email: [email protected]. I have some experience in R and Python, but am currently a trainee so am interested in learning and trying new kinds of analyses. Looking forward to working with you!

[AdefunkeOmosefe]

Excellent, you are very welcome to join. Your skills in Python would definitely help! I would reach out to you via email.
Looking forward to working with you as well.

[gracejacobs]

Hi Adefunke, I’m really interested in joining your project! I know the ABCD dataset quite well, and have quite a bit of experience coding in R (less so python), and with structural and functional neuroimaging. I have a little bit of experience with SEM and I’ve never worked with cortisol info before so I’m really excited to learn about that! I'll also message you on slack

[AdefunkeOmosefe]

Excellent! nice to have you. Looking forward to working with you.