Cross-Sectional Multidomain Inquiry into Psychological Strain, Food Intake Behavior, Physical Activity Engagement within Tertiary Education Young Populations in South Asia: Occurrence Relationship Mapping
Keywords:
Psychological strain, dietary behavior, physical activity, South Asian studentsAbstract
This review paper presents a cross-sectional multidomain inquiry into the interrelationship between psychological strain, food intake behavior, and physical activity engagement among tertiary education populations in South Asia. The study synthesizes interdisciplinary evidence to construct an occurrence relationship mapping framework that explains how mental strain operates as a central regulatory disturbance influencing both nutritional and physical activity behaviors in young adults.
The review integrates behavioral triad evidence from South Asian student populations (Renu Agarwal & BoopathyUsharani, 2026) with system engineering models derived from power systems and cyber-physical infrastructures (Alves et al., 2019; Monteiro et al., 2021). Although originating from electrical and mechanical engineering domains, these models are adapted conceptually to understand human behavioral coupling, feedback loops, and system instability in psychological-health ecosystems. Transformer leakage reactance and analytical field coupling models are used as metaphors for behavioral leakage, where psychological strain disperses into nutritional and physical activity dysfunction.
Methodologically, the review employs structured thematic synthesis and cross-domain conceptual mapping. Evidence indicates that psychological strain significantly disrupts dietary regulation, leading to irregular intake patterns and energy-dense food preference, while simultaneously reducing physical activity engagement. These behavioral changes are not independent but form a relational system characterized by feedback amplification.
Findings reveal three dominant behavioral configurations: stable equilibrium (low strain), transitional instability (moderate strain), and systemic degradation (high strain). The highest strain condition corresponds to maximum behavioral divergence, where nutritional imbalance and physical inactivity reinforce each other in a cyclical decline pattern.
The study contributes a novel occurrence relationship mapping framework that bridges engineering system modeling with behavioral health science. It highlights the applicability of analytical system decomposition approaches from transformer leakage modeling (Dawood & Kömürgöz, 2022; Castañeda et al., 2021) to human behavioral systems in educational environments. The findings support the need for integrated mental-health and lifestyle intervention strategies in South Asian universities.
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