The network structure of motivation: Interplay with perfectionism, mindfulness and emotion regulation styles

BACKGROUND: Motivation, a fundamental driver of human behavior, is intricately linked with perfectionism, mindfulness, and emotion regulation styles. Although these constructs have been studied separately, their complex interactions remain unclear. METHODS: This study employed network analysis to explore how these dimensions collectively interact in a sample of 350 s-year high school students from Tabriz, Iran, selected via multi-stage cluster sampling. Data were collected using standardized self-report questionnaires. A Graphical Gaussian Model with polychoric correlations was estimated and visualized using qgraph and bootnet in R. Bridge centrality metrics and bootstrap resampling assessed network structure and stability. RESULTS: Results revealed strong positive partial correlations between intrinsic and extrinsic motivation, self-oriented and socially prescribed perfectionism, and mindfulness with integrated emotion regulation, alongside negative associations between mindfulness and emotion dysregulation. Intrinsic motivation, mindfulness, and self-oriented perfectionism emerged as the most central and influential nodes, supported by stable centrality indices. CONCLUSIONS: These findings highlight intrinsic motivation and mindfulness as key targets for interventions aimed at enhancing psychological functioning. Overall, the study advances understanding of the dynamic interplay among these constructs, offering promising directions for tailored mental health interventions.