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Brain Morphology of Cannabis Users With or Without Psychosis: A Pilot MRI Study

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Using tree-based models to identify factors contributing to trait negative affect in adults.

Catalina Cañizares¹, Yvonne Gómez-Maquet², Eugenio Ferro³

¹Florida International University, 11200 SW 8th St, Miami, FL, 33199, USA. ccani007@fiu.edu.

|February 1, 2025

Summary

Maladaptive cognitive schemas and childhood adversity significantly predict higher negative affect (NA). Understanding these factors can inform prevention programs for psychological distress.

Keywords:

Adults Cognitive Schemas Depression Negative affect Tree-based methods

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Design and Implementation of an fMRI Study Examining Thought Suppression in Young Women with, and At-risk, for Depression

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Area of Science:

Psychology
Clinical Psychology
Mental Health Research

Background:

High negative affect (NA) is linked to increased distress, negative self-views, and psychopathology, especially Major Depressive Disorder (MDD).
NA is associated with cognitive-perceptual and affective regulation difficulties.

Purpose of the Study:

To determine if maladaptive cognitive schemas, attributional style, childhood adversity, and lifestyle factors predict negative affect (NA) in adults.
Investigate the predictive power of various psychological and lifestyle elements on NA levels.

Main Methods:

Secondary data analysis of 342 adults (depressed and non-depressed).
Utilized beta regression and regression tree analyses to identify key risk factors and interactions.
Employed 5-fold cross-validation for regression tree model training and testing.

Main Results:

Cognitive schemas (disconnection/rejection, impaired autonomy) significantly predicted higher scores on the State Depression Inventory (IDER).
Childhood adversity was identified as a critical determinant of high NA.
The regression tree model demonstrated strong predictive accuracy with an R-squared of 0.77.

Conclusions:

This study advances the understanding of NA by integrating cognitive schemas, lifestyle, and demographics.
Findings have potential implications for developing targeted prevention programs to mitigate NA.