Predicting control loss in eating behaviors using decision tree regression: Implications for educational interventions targeting motivational and physical factors

Loredana Ileana Vîșcu, Dana Rad

Article ID: 10528
Vol 8, Issue 15, 2024

VIEWS - 194 (Abstract) 11 (PDF)

Abstract


This study explores the determinants of control loss in eating behaviors, employing decision tree regression analysis on a sample of 558 participants. Guided by Self-Determination Theory, the findings highlight amotivation (β = 0.48, p < 0.001) and external regulation (β = 0.36, p < 0.01) as primary predictors of control loss, with introjected regulation also playing a significant role (β = 0.24, p < 0.05). Consistent with Self-Determination Theory, the results emphasize the critical role of autonomous motivation and its deficits in shaping self-regulation. Physical characteristics, such as age and weight, exhibited limited predictive power (β = 0.12, p = 0.08). The decision tree model demonstrated reliability in explaining eating behavior patterns, achieving an R2 value of 0.39, with a standard deviation of 0.11. These results underline the importance of addressing motivational deficits in designing interventions aimed at improving self-regulation and promoting healthier eating behaviors.


Keywords


control loss; eating behaviors; decision tree regression; motivation; Self-Determination Theory; external regulation

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DOI: https://doi.org/10.24294/jipd10528

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