Mapping Phenomena Relevant to Adolescent Emotion Regulation: A Text-Mining Systematic Review

Area of Science:

• Developmental Psychology
• Adolescent Mental Health
• Computational Linguistics

Background:

• Adolescence is a critical period for emotion regulation development.
• Existing research is fragmented, lacking a unifying theoretical framework.
• Lifelong mental health implications underscore the importance of understanding adolescent emotion regulation.

Purpose of the Study:

• To identify phenomena relevant to adolescent emotion regulation using text mining.
• To establish a baseline of discussed phenomena in existing theory and reviews.
• To uncover undertheorized themes in adolescent emotion regulation research.

Main Methods:

• Systematic review of 6305 articles.
• Text mining analysis of article keywords and abstracts.
• Term frequency and co-occurrence analysis to identify relevant and associated phenomena.

Main Results:

• Identified commonly discussed themes like socialization and neurocognitive development.
• Uncovered undertheorized themes including physical health, substance use, and developmental disorders.
• Demonstrated text mining's utility in complementing traditional narrative reviews.

Conclusions:

• Text mining systematic reviews offer a novel approach to literature analysis.
• Future research should integrate undertheorized themes into a unifying framework.
• Consideration of these themes is crucial for future empirical research and understanding potential confounders.