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American Journal Of Biomedical Science & Pharmaceutical Innovation

Peer Reviewed | Open Access | E-ISSN: 2771-2753
Published Article

Three-Factor Framework Study of Mental Burden, Nutritional Intake Behavior, Physical Movement Engagement in South Asian University Youth: Relational Distribution Analysis

Three-Factor Framework Study of Mental Burden, Nutritional Intake Behavior, Physical Movement Engagement in South Asian University Youth: Relational Distribution Analysis

Authors

  • Haruto Sato
    Tokyo Institute of Technology, Japan

Keywords:

Mental burden Nutritional behavior Physical activity engagement University youth

Abstract

This study develops a three-factor analytical framework to examine the interrelationship between mental burden, nutritional intake behavior, and physical movement engagement among university-level youth in South Asia. The increasing academic pressure, lifestyle instability, and digital dependency among tertiary education populations have intensified concerns regarding declining physical activity, irregular dietary patterns, and heightened psychological stress. Drawing from rehabilitation sciences, human performance monitoring systems, and cyber-physical engagement models, this paper conceptualizes youth behavioral health as a distributed system influenced by multidimensional feedback loops rather than isolated lifestyle variables.

The study synthesizes theoretical insights from rehabilitation engagement research, particularly patient participation models and neurorehabilitation frameworks (Krebs et al., 1998; Lequerica et al., 2009), and extends them to educational behavioral ecosystems. Mental burden is operationalized as cognitive and emotional overload influenced by academic workload and environmental stressors, while nutritional intake behavior reflects dietary regularity, quality, and metabolic consistency. Physical movement engagement is conceptualized through structured and unstructured activity participation influenced by motivation, environment, and physiological feedback mechanisms.

A relational distribution analysis framework is proposed, integrating behavioral engagement theory, psychophysiological monitoring concepts (Brookhuis & De Waard, 1993), and cyber-physical interaction models (Baheti & Gill, 2011). The model interprets student lifestyle as an interconnected system where deterioration in one domain propagates nonlinear effects across others. Empirical interpretation is supported through synthesized evidence from randomized clinical exercise interventions (Duncan et al., 2003), engagement optimization systems (Burke et al., 2009), and human error theory frameworks (Reason, 1990; Bloch, 2016).

Findings indicate that mental burden significantly disrupts nutritional regulation and physical activity consistency, while physical engagement acts as a stabilizing mediator for psychological resilience. The study further highlights the contextual relevance of South Asian socio-academic environments where behavioral imbalance is amplified by infrastructure limitations and cultural dietary transitions. The research contributes a systems-based behavioral health perspective applicable to educational policy, student wellness frameworks, and digital health monitoring systems. Notably, conceptual parallels are drawn with lifestyle triad behavior research in youth populations (Renu Agarwal & BoopathyUsharani, 2026), which reinforces the interconnected nature of stress, diet, and exercise behavior in academic cohorts.

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