Reconfiguring Sleep and Stress Management for Metabolic Syndrome Prevention in Time-Constrained Business Professionals: Preserving Functional Core Components While Reducing Temporal and Cognitive Burden

Sleep and stress management are increasingly recognized as essential components of metabolic syndrome prevention, alongside healthy diet and physical activity. However, existing recommendations—including adequate sleep duration, regular sleep–wake schedules, cognitive behavioral therapy for insomnia (CBT-I), psychological detachment, relaxation techniques, and workplace microbreaks—have largely evolved as independent intervention approaches. Consequently, it is often difficult for time-constrained business professionals to implement and sustain all of these recommendations simultaneously. This paper integrates the major evidence on sleep and stress management and proposes a functional reconfiguration based not on individual intervention techniques but on the functional core that should be preserved across interventions. Specifically, we identify six core functions: (1) securing sufficient opportunities for sleep; (2) maintaining alignment between sleep–wake schedules and circadian rhythms; (3) reducing arousal and maladaptive conditioning that interfere with sleep; (4) modifying stressors and stress appraisal; (5) facilitating the transition from work-related activation to recovery; and (6) distributing fatigue and metabolic load throughout the working day. Building on this framework, we distinguish core functions from their specific implementation forms and propose several principles for intervention design: prioritizing deficient functions, flexibly selecting implementation strategies according to individual life circumstances, switching between standard and minimal implementation according to situational constraints, embedding interventions into existing daily routines, and resuming standard implementation after unavoidable interruptions. Rather than viewing sleep and stress management as a collection of separate intervention techniques, the proposed framework reconceptualizes them as an implementation challenge aimed at maintaining the core functions that support health benefits. This perspective has potential applications not only in occupational health and lifestyle interventions for metabolic syndrome prevention but also in AI-assisted personalized support systems that dynamically optimize intervention strategies according to an individual's health status and daily circumstances.