Keywords: Metabolic Health, Everyday Fitness, Insulin Sensitivity, Metabolic Flexibility, Healthy Aging
Shaping Everyday Fitness for Long-Term Metabolic Stability
Modern longevity discourse distinguishes between lifespan, the total years lived and health span, defined as the years lived in good functional and metabolic health. As populations age and non-communicable diseases rise, extending health span has become a medical and societal priority, shifting focus from disease treatment to proactive preservation of metabolic resilience. Regular physical activity is a central lever in this paradigm because it improves cardiorespiratory fitness, enhances insulin sensitivity, and reduces chronic low-grade inflammation, all of which are strongly associated with lower all-cause mortality and delayed onset of metabolic disease.
Everyday fitness, accumulated through routine movement, not just structured workouts plays a foundational role in this process. Even modest increases in daily activity, such as additional walking or light aerobic exercise, are associated with significant gains in life expectancy and improved metabolic profiles, particularly among previously inactive individuals. Mechanistically, repeated muscle contraction enhances glucose uptake, optimizes lipid metabolism, and supports mitochondrial function, thereby improving the body’s ability to manage glucose, lipids, and inflammatory mediators over time. These adaptations contribute to a longer “metabolic health span,” the period during which glucose regulation, lipid profiles, and body composition remain within a healthy range.
In this context, everyday fitness is best conceptualized not as pursuit of peak performance but as cultivation of sustainable performance. Integrating accessible movement, balanced nutrition, and adequate recovery into daily routines helps individuals better tolerate modern environmental and psychosocial stressors while slowing metabolic decline. The objective is to maintain a stable, adaptable physiology that supports strength, cognitive function, and energy across decades, rather than to chase short-term, high-intensity goals that may be difficult to sustain. By embedding these practices into ordinary life, everyday fitness becomes a continuous, preventive intervention that underpins long-term metabolic stability and healthy aging.
Functional Exercises That Stabilize Glucose
Skeletal muscle is the principal site of postprandial glucose disposal, responsible for approximately 80–90% of insulin-stimulated glucose uptake following an oral glucose load, which underscores its central role in whole-body glycemic control. At rest, muscle glucose uptake is largely insulin dependent: insulin binding activates a signalling cascade (including IRS-1, PI3K, and Akt) that promotes translocation of GLUT4 from intracellular vesicles to the sarcolemma, enabling facilitated diffusion of glucose down its concentration gradient. During and immediately after exercise, however, skeletal muscle can markedly increase glucose uptake via insulin-independent pathways involving muscle contraction–induced signals (for example, AMPK activation, calcium-dependent pathways, and transient actin cytoskeleton remodelling), providing an alternative route for GLUT4 translocation and enhancing glucose clearance even in the presence of insulin resistance [1-5].
Functional, multi-joint exercises are particularly effective because they recruit large muscle groups and generate substantial metabolic demand with relatively simple, accessible movements. Squats, lunges, step-ups, and push-ups, whether performed with body weight or added load, increase muscle fiber recruitment across the lower and upper body and thus expand the active “glucose sink” during and after activity. Resistance-type functional training promotes skeletal muscle hypertrophy and increases total insulin-sensitive tissue mass, while also upregulating GLUT4 expression, mitochondrial density, and capillary networks, adaptations that collectively improve insulin sensitivity and glucose disposal over weeks to months. Complementary aerobic functional activities, such as brisk walking, stair climbing, and cycling, further enhance muscle oxidative capacity and capillarization, improving delivery of glucose and insulin to the working muscle and facilitating sustained improvements in glycemic control [5-10].
Beyond the structure of the exercise itself, the pattern and timing of movement across the day exert important effects on glucose dynamics and glycemic variability. Repeatedly interrupting prolonged sitting with brief bouts of light walking or simple resistance activity (for example, 2–3 minutes every 20–30 minutes) has been shown to attenuate postprandial glucose excursions and reduce overall hyperglycemia, particularly in individuals with type 2 diabetes. Postprandial walking is especially potent: randomized trials demonstrate that 10–30 minutes of walking initiated shortly after a meal significantly lowers postprandial glucose area under the curve compared with pre-meal or no exercise, with benefits observed in both people with diabetes and healthy volunteers. Even relatively low-intensity, body-weight “functional circuits” performed at home, combining sit-to-stand movements, wall push-ups, and marching in place can produce acute, clinically meaningful reductions in glucose in people with type 2 diabetes, with a favourable safety profile [6,11-15].
Balanced Nutrition for Vitality
Metabolic balance is increasingly understood as a function of regulation of nutrient quality, quantity and timing, other than of severe caloric restriction or exclusion of entire food groups. Diets emphasizing minimally processed whole foods, including vegetables, fruits, whole grains, legumes, nuts, and seeds, provide complex carbohydrates, fiber, and micronutrients that support stable glucose handling, lipid metabolism, and mitochondrial function. In individuals with diabetes and insulin resistance, substituting unrefined whole foods for refined products while keeping macronutrient proportions isocaloric has been shown to significantly improve glycemic control, lower mean pre- and postprandial glucose, and reduce glycosylated hemoglobin. These observations support the concept that metabolic vitality depends not only on “how much” is eaten but critically on “what form” nutrients are delivered in [16-20].
Consistent meal timing appears to play a complementary role by stabilizing circadian rhythms in glucose metabolism and hormone secretion. Experimental work in controlled settings shows that shifting meal timing can phase-shift peripheral clocks and alter circadian profiles of plasma glucose without necessarily changing central clock markers, indicating that feeding schedules act as potent zeitgebers for metabolic tissues. Furthermore, epidemiologic and experimental data suggest that consuming a larger proportion of daily energy earlier in the day, when insulin sensitivity and diet-induced thermogenesis are higher, is associated with improved glycemic control and more favourable appetite-regulating hormone profiles compared with late-evening eating. Together, these findings support dietary patterns in which meals are eaten at relatively regular times and aligned with endogenous circadian biology, thereby promoting more predictable metabolic responses [21-23].
The composition of each meal further modulates postprandial dynamics and subjective vitality. Combining low- to moderate-glycemic complex carbohydrates with lean protein, dietary fiber, and unsaturated fats slows gastric emptying and intestinal glucose absorption, resulting in lower glycemic excursions and a steadier insulin response compared with high-glycemic, low-fiber meals. Balanced macronutrient profiles enhance satiety through multiple mechanisms, including delayed gastric emptying, increased secretion of incretin hormones such as GLP-1, and modulation of ghrelin and leptin signaling, thereby reducing the propensity for reactive hypoglycemia, cravings, and energy “crashes.” Clinical lifestyle interventions using whole-food, plant-forward diets, often in combination with moderate exercise demonstrate substantial improvements in HbA1c, insulin resistance indices, inflammatory markers, and medication burden in individuals with type 2 diabetes, highlighting how predictable, nutrient-dense fuelling supports both cardiometabolic health and day-to-day functional capacity [16-19,22].
From a practical standpoint, aiming for dietary predictability, relatively stable meal timing, consistent macronutrient distribution, and reliance on whole, low-glycemic foods may be more effective for long-term metabolic vitality than cyclical adherence to highly restrictive regimens. Such patterns help maintain a steady supply of glucose and amino acids to skeletal muscle, supporting recovery and maintenance of lean mass, while also providing adequate substrates for neurotransmitter synthesis and cerebral energy demand, which underpin cognitive performance and mood stability. Rather than focusing on rapid weight fluctuations, a regulated nutrition strategy seeks to minimize large oscillations in glucose, insulin, and appetite-related hormones, thereby sustaining energy, preserving metabolic flexibility, and contributing to healthier aging trajectories [16,18,22].
Recovery for Hormonal Health
Sleep and stress recovery are now recognized as core pillars of metabolic and hormonal regulation, rather than secondary “lifestyle” factors. Experimental sleep-restriction studies show that even short periods of curtailed sleep (for example, 4–5 hours per night for several consecutive nights) increase sympathetic nervous system activity, raise evening cortisol, and impair insulin sensitivity and glucose effectiveness to a degree comparable to early type 2 diabetes. In parallel, inadequate sleep alters appetite-regulating hormones: leptin levels decline and ghrelin and cortisol rise, a pattern associated with increased hunger, cravings for energy-dense foods, and positive energy balance that favours visceral adiposity. These hormonal shifts provide a mechanistic link between chronic sleep loss, central adiposity, and elevated cardiometabolic risk [24-27].
Chronic psychosocial stress exerts similar metabolic effects through persistent activation of the hypothalamic–pituitary–adrenal (HPA) axis and the sympathetic–adrenal–medullary system. Sustained elevations in cortisol promote hepatic gluconeogenesis, antagonize insulin action in peripheral tissues, and facilitate redistribution of fat toward the visceral compartment, all of which predispose to glucose intolerance and the metabolic syndrome. Elevated cortisol and sympathetic tone also disrupt normal diurnal patterns of leptin and other appetite-related hormones, skewing energy intake toward late-day and evening periods and reinforcing a cycle of poor sleep, increased stress, and metabolic dysregulation. Over time, this constellation of changes contributes to a phenotype characterized by abdominal obesity, insulin resistance, dyslipidemia, and heightened cardiovascular risk [24-27].
Deliberate, structured recovery practices appear to mitigate these adverse pathways by normalizing neuroendocrine and autonomic function. Sleep hygiene strategies that support 7–9 hours of consistent, high-quality sleep such as maintaining regular bed and wake times, minimizing evening light and screen exposure, and optimizing the sleep environment have been associated with more favourable cortisol and leptin profiles and improved insulin sensitivity. Mind–body interventions, including mindfulness meditation, yoga, and similar practices, reduce perceived stress and have been shown to lower cortisol and sympathetic activity, thereby supporting metabolic homeostasis. In a pilot randomized trial in adults with metabolic syndrome, a restorative yoga program that emphasized supported poses and relaxation was feasible and acceptable and showed trends toward improvements in blood pressure, psychological well-being, and weight stabilization, suggesting that low-intensity restorative modalities can complement traditional exercise in cardiometabolic risk reduction [17,24,27,28].
Age Adaptation in Training and Nutrition
Ageing is accompanied by progressive changes in body composition, endocrine function, and cellular energetics that alter both exercise responsiveness and nutritional requirements. With advancing age, there is a gradual loss of skeletal muscle mass and strength (sarcopenia), accompanied by increases in fat mass and infiltration of adipose tissue into muscle, which together reduce resting energy expenditure and impair glucose disposal. Mitochondrial function also declines, with reductions in mitochondrial density, oxidative capacity, and efficiency, contributing to decreased exercise tolerance and a reduced capacity to oxidize fatty acids at a given workload. Concurrent changes in anabolic hormones (for example, growth hormone, IGF-1, sex steroids) and increased prevalence of insulin resistance further modify how older adults metabolize carbohydrates and adapt to training stimuli [29-32].
In younger adults, the adaptive capacity of skeletal muscle is relatively robust: resistance and high-intensity training elicit pronounced increases in muscle mass, strength, and insulin sensitivity, and moderate carbohydrate intake can effectively support performance and recovery without markedly compromising body composition. Comparative work shows that, under standardized resistance-training programs, young individuals experience substantially greater whole-body lean mass gains and adiposity reductions than middle-aged and older participants, reflecting age-related differences in hypertrophic potential and metabolic plasticity. High-intensity interval training (HIIT) and vigorous aerobic exercise also confer large improvements in cardiorespiratory fitness and peripheral insulin sensitivity in younger cohorts, though they remain beneficial across the age spectrum when appropriately dosed. In this context, training and nutrition can prioritize performance and capacity building, with fewer constraints from recovery time, anabolic resistance, or comorbid conditions [29,30].
By midlife and older age, however, interventions need to be more deliberately targeted to counter sarcopenia, anabolic resistance, and emerging insulin resistance. Resistance training is consistently identified as the most potent non-pharmacologic stimulus for preserving or increasing muscle mass and strength in older adults, improving functional capacity and metabolic health even when hypertrophy is blunted compared with younger individuals. Systematic reviews and meta-analyses indicate that combining resistance exercise with higher protein intakes, often in the range of approximately 1.2–1.5 g/kg/day, with 25–45 g of high-quality, leucine-rich protein per meal enhances muscle mass and strength in community-dwelling older adults with or at risk for sarcopenia. These strategies help overcome age-related anabolic resistance by providing sufficient amino acid availability and mechanical loading to stimulate muscle protein synthesis and support maintenance of metabolically active tissue [29,32-34].
Nutritionally, midlife adaptation typically includes reducing refined carbohydrates and ultra-processed foods, emphasizing fiber-rich complex carbohydrates, and prioritizing protein quality alongside healthy fats to support insulin sensitivity and cardiometabolic health. Observational and interventional data suggest that diets higher in plant-based foods, omega-3-rich fish, and unsaturated fats, and lower in added sugars and refined grains, are associated with lower risk of metabolic syndrome and cardiovascular disease in older adults. Midlife women and men may particularly benefit from structured protein distribution across meals, increased dietary fiber (for example, 25–30 g/day), and attention to micronutrients such as vitamin D, calcium, magnesium, and iron, which support muscle function, bone health, and energy metabolism. When these nutritional adjustments are paired with multicomponent training programs that prioritize resistance exercise, supplemented by aerobic and balance work, the combination can significantly mitigate age-related declines in muscle function and metabolic resilience [31,33,34,35].
Collectively, these findings support a life-course approach in which training and nutrition are progressively adapted to the evolving physiological milieu rather than held constant. In early adulthood, higher training intensities and liberal but quality-focused carbohydrate intake can be leveraged to maximize fitness and lean mass, whereas in midlife and beyond, strategic emphasis shifts toward resistance training, adequate and high-quality protein, reduced refined carbohydrates, and recovery-conscious programming to counter sarcopenia and insulin resistance. Such age-specific adaptation acknowledges that the aging organism retains considerable plasticity but requires a more precise alignment of exercise load, macronutrient composition, and recovery to sustain metabolic health and functional independence across the lifespan [29,32-33].
Daily Lifestyle Integration
Contemporary models of cardiometabolic health increasingly emphasize that cumulative, low-intensity behaviours across the day, rather than isolated bouts of formal exercise play a decisive role in determining metabolic profiles. The concept of daily lifestyle integration frames metabolic health as the result of repeated “micro-choices,” such as opting to walk during phone calls, standing instead of sitting, or choosing stairs over elevators, which together increase non-exercise activity thermogenesis (NEAT) and total energy expenditure without requiring dedicated workout sessions. Observational and interventional data suggest that individuals who routinely incorporate these forms of incidental movement exhibit better metabolic markers, including lower waist circumference, improved lipid profiles, and reduced prevalence of metabolically unhealthy phenotypes, even at similar BMI. These findings support the clinical view that embedding movement into everyday routines is a central strategy for preventing and managing metabolic syndrome [34-38].
At a mechanistic level, frequent low- to moderate-intensity movement supports metabolic flexibility, the capacity to switch efficiently between lipid and carbohydrate oxidation in response to changing energetic demands. Lifestyle interventions that increase daily physical activity, modestly reduce body weight, and improve dietary fat quality have been shown to enhance skeletal-muscle metabolic flexibility, thereby improving insulin sensitivity and reducing type 2 diabetes risk. Activities such as walking, casual cycling, standing, and short mobility or stretching sessions maintain a baseline level of muscular activity that facilitates mitochondrial function and substrate switching, reducing prolonged periods of metabolic inflexibility associated with sedentary behaviour. Importantly, these effects arise from the pattern and distribution of movement; interrupting sedentary time with brief activity “snacks” can yield meaningful improvements in glucose handling and energy regulation even in the absence of high-intensity training [38,39].
The notion of “embodied awareness” aligns with emerging work on embodied practices and their influence on self-regulation and health behaviour. Embodied approaches emphasize attentiveness to bodily sensations and posture during everyday activities, which has been shown to enhance interoceptive awareness, self-compassion, and engagement with health-promoting behaviours. Mindful integration of movement such as consciously adjusting posture at a desk, performing brief mobility sequences between tasks, or using walking as a context for reflection can transform ordinary activities into opportunities for both physical activation and nervous-system regulation. Qualitative research in lifestyle intervention programs reports that participants who internalize these changes as “part of life,” rather than as separate prescriptions, are more likely to sustain healthy behaviours such as stair climbing, active commuting, and increased consumption of high-fiber, low-calorie foods [38,40].
From a preventive-medicine perspective, daily lifestyle integration reframes “movement as medicine” by emphasizing continuity over intensity and context over compartmentalization. Supporting patients to increase NEAT, break up sedentary time, and link routine tasks with light physical activity can strengthen metabolic resilience without imposing unrealistic time or resource demands. When coupled with foundational habits, regular meals, adequate sleep, and intentional stress management, these micro-behaviours contribute to a stable internal environment in which mitochondria, skeletal muscle, and endocrine systems can respond adaptively to daily challenges. In this way, living actively becomes less about carving out discrete exercise blocks and more about cultivating a continuous, embodied engagement with movement as a core therapeutic tool for long-term metabolic health [37,38].
Tracking Health Holistically
Emerging models of preventive and personalized medicine argue that metabolic health is best understood by integrating objective biomarkers with subjective indicators of well-being, rather than relying on laboratory values alone. Objective data streams from continuous glucose monitors, wearables, and routine blood tests provide high-resolution information about glycemic patterns, heart rate variability, sleep architecture, lipid profiles, and physical activity levels, but they capture only part of an individual’s functional health status. Holistic health tracking frameworks therefore emphasize combining these quantitative measures with patient-reported outcomes, such as perceived energy, cognitive clarity, mood stability, and fatigue to generate a more comprehensive picture of metabolic balance and adaptive capacity [41].
Subjective health assessments, including self-rated health, daily symptom diaries, and quality-of-life questionnaires, have been shown to predict morbidity and mortality in ways that are partially independent of traditional biomarkers. While objective metrics like HbA1c or resting heart rate quantify specific physiological domains, self-reported indicators often reflect the integrated impact of multiple systems like sleep, autonomic tone, inflammation, mental health, that may not be fully captured by single laboratory values. For example, tools that link wearable-derived physiological signals with standardized quality-of-life instruments demonstrate that patterns in energy, mood, and cognitive function can meaningfully complement continuous monitoring of sleep, activity, and metabolic parameters. In practice, consistently high subjective vitality, mental clarity, and emotional stability, alongside preservation of muscle tone and functional capacity, can be interpreted as clinical markers of effective metabolic regulation and recovery, even when some objective metrics remain borderline [42,43,44].
Holistic tracking also has behavioural advantages: by encouraging individuals to attend to both numbers and lived experience, it can foster greater self-awareness, autonomy, and engagement with sustainable lifestyle change. Digital health platforms increasingly support this approach by integrating multi-source data like wearable streams, electronic records, and patient-entered logs into personal dashboards that visualize trends rather than isolated readings, helping users and clinicians identify patterns that connect behaviours, physiology, and subjective well-being. Qualitative work on advanced health trackers suggests that features such as trend feedback, personalized prompts, and space for daily reflections can guide users away from extreme, short-term interventions and toward iterative adjustment of sleep, nutrition, stress management, and activity habits. Conceptualizing tracking as a tool for continuous calibration, rather than constant judgment aligns with the goal of maintaining metabolic stability over time and supports a more balanced, less compulsive relationship with health data [45].
Living Fit as Balance, Not Restriction
Emerging evidence suggests that healthy longevity is less the result of isolated, intensive interventions and more the product of long-term, moderate, and sustainable lifestyle patterns that maintain metabolic homeostasis. In both experimental and population studies, interventions that modestly constrain anabolic drive, stabilize energy balance, and support efficient substrate utilization tend to improve health span and delay the onset of age-related metabolic disease. Within this framework, physical activity, nutrition, and recovery are most effective when they are practiced consistently and integrated into daily life, rather than pursued as intermittent extremes.
Balanced lifestyle patterns, characterized by regular movement, adequate rest, and nutrient-dense, non-restrictive dietary habits appear to promote metabolic flexibility and reduce cardiometabolic risk, even in individuals with elevated adiposity. Regular exercise induces multi-tissue adaptations in skeletal muscle, liver, adipose tissue, and vasculature that enhance insulin sensitivity and systemic metabolic regulation, but these benefits are contingent on ongoing engagement rather than short-term, high-intensity efforts. Similarly, dietary strategies that favour whole foods and avoid chronic caloric excess support mitochondrial function and reduce oxidative stress without necessitating extreme restriction.
Conceptualizing “living fit” as the maintenance of dynamic equilibrium, between training and recovery, caloric intake and expenditure, and sympathetic and parasympathetic tone aligns closely with current models linking metabolic stability to reduced morbidity and mortality. By approaching everyday fitness as a continuous practice aimed at preserving metabolic balance, individuals can cultivate a physiology that sustains physical performance, cognitive function, and vitality well into older age. This balance-oriented perspective reframes fitness from a pursuit of extremes to a clinically grounded strategy for extending health span and mitigating the trajectory of chronic metabolic disease across the lifespan.
Reference
- Pereira RM, Moura LP de, Muñoz VR, Silva ASR da, Gaspar RS, Ropelle ER, et al. Molecular mechanisms of glucose uptake in skeletal muscle at rest and in response to exercise. Motriz: Revista de Educação Física. 2017;23(spe).
- Hulett NA, Scalzo RL, Reusch JEB. Glucose Uptake by Skeletal Muscle within the Contexts of Type 2 Diabetes and Exercise: An Integrated Approach. Nutrients. 2022 Feb 3;14(3):647.
- Merz KE, Thurmond DC. Role of Skeletal Muscle in Insulin Resistance and Glucose Uptake. Comprehensive Physiology [Internet]. 2020 Jul 8;10(3):785–809. Available from: https://pmc.ncbi.nlm.nih.gov/articles/PMC8074531/
- Fujimoto BA, Young M, Nakamura N, Ha H, Carter L, Pitts MW, et al. Disrupted glucose homeostasis and skeletal muscle-specific glucose uptake in an exocyst knockout mouse model. Journal of Biological Chemistry [Internet]. 2021 Feb 26;0(0). Available from: https://www.jbc.org/article/S0021-9258(21)00256-8/fulltext
- Stocks B, Zierath JR. Post-translational Modifications: The Signals at the Intersection of Exercise, Glucose Uptake, and Insulin Sensitivity. Endocrine Reviews [Internet]. 2022 Aug 1 [cited 2022 Jul 26];43(4):654–77. Available from: https://academic.oup.com/edrv/article/43/4/654/6420158
- Soltani P, Almeida FM, Melo HC de C, Ferreira GBS, dos Santos LM, Gomes JL de B. Body-weight functional exercise promotes greater and safer blood glucose reduction compared to aerobic and strength exercises in type 1 diabetics: a randomised crossover study. Journal of Diabetes and its Complications [Internet]. 2025 Apr 19;39(7):109043. Available from: https://www.sciencedirect.com/science/article/pii/S1056872725000960
- 10 Muscle Moves to Help Tame Diabetes [Internet]. WebMD. Available from: https://www.webmd.com/diabetes/ss/slideshow-diabetes-strength-training
- Checking your browser – reCAPTCHA [Internet]. Nih.gov. 2024 [cited 2026 Apr 17]. Available from: https://pmc.ncbi.nlm.nih.gov/articles/PMC7484211/
- Silva FM, Duarte-Mendes P, Teixeira AM, Soares CM, Ferreira JP. The effects of combined exercise training on glucose metabolism and inflammatory markers in sedentary adults: a systematic review and meta-analysis. Scientific Reports [Internet]. 2024 Jan 22;14(1):1936. Available from: https://www.nature.com/articles/s41598-024-51832-y#:~:text=It%20is%20well%20established%20that
- Strength training exercise benefits diabetes [Internet]. Diabetes Action. Available from: https://diabetesaction.org/article-exercise
- Colberg SR, Zarrabi L, Bennington L, Nakave A, Thomas Somma C, Swain DP, et al. Postprandial walking is better for lowering the glycemic effect of dinner than pre-dinner exercise in type 2 diabetic individuals. Journal of the American Medical Directors Association [Internet]. 2009 Jul 1;10(6):394–7. Available from: https://pubmed.ncbi.nlm.nih.gov/19560716/
- Bellini A, Nicolò A, Bazzucchi I, Sacchetti M. The Effects of Postprandial Walking on the Glucose Response after Meals with Different Characteristics. Nutrients. 2022 Mar 4;14(5):1080.
- Sparks JR, Kishman EE, Sarzynski MA, Davis JM, Grandjean PW, Durstine JL, et al. Glycemic variability: Importance, relationship with physical activity, and the influence of exercise. Sports Medicine and Health Science. 2021 Oct;3(4).
- Hashimoto K, Dora K, Murakami Y, Matsumura T, I Wayan Yuuki, Yang S, et al. Positive impact of a 10-min walk immediately after glucose intake on postprandial glucose levels. Scientific Reports [Internet]. 2025 Jul 2;15(1). Available from: https://www.nature.com/articles/s41598-025-07312-y
- Zheng X, Qi Y, Bi L, Shi W, Zhang Y, Zhao D, et al. Effects of Exercise on Blood Glucose and Glycemic Variability in Type 2 Diabetic Patients with Dawn Phenomenon. BioMed Research International. 2020 Feb 22;2020:1–6.
- Kinmonth AL, Angus RM, Jenkins PA, Smith MA, Baum JD. Whole foods and increased dietary fibre improve blood glucose control in diabetic children. Archives of Disease in Childhood [Internet]. 1982 Mar 1;57(3):187–94. Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1627610/
- Coyle D. A Beginner’s Guide to the Low-Glycemic Diet [Internet]. Healthline. 2017. Available from: https://www.healthline.com/nutrition/low-glycemic-diet
- Thornber K. Whole-Food, Plant-Based Diet Improves Glycaemic Control in Type 2 Diabetes [Internet]. European Medical Journal. EMJ; 2024 [cited 2026 Apr 17]. Available from: https://www.emjreviews.com/diabetes/news/whole-food-plant-based-diet-improves-glycaemic-control-in-type-2-diabetes/
- Hanick CJ, Peterson CM, Davis BC, Sabaté J, Kelly JH. A whole-food, plant-based intensive lifestyle intervention improves glycaemic control and reduces medications in individuals with type 2 diabetes: a randomised controlled trial. Diabetologia. 2024 Sep 21;68:308–19.
- Mitch WE. Chronic Kidney Disease. Goldman’s Cecil Medicine [Internet]. 2012;810–8. Available from: https://www.sciencedirect.com/topics/medicine-and-dentistry/metabolic-balance
- Wehrens SMT, Christou S, Isherwood C, Middleton B, Gibbs MA, Archer SN, et al. Meal Timing Regulates the Human Circadian System. Current biology : CB. 2017;27(12):1768-1775.e3.
- Pickel L, Sung HK. Feeding Rhythms and the Circadian Regulation of Metabolism. Frontiers in Nutrition [Internet]. 2020 Apr 17;7(39). Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7182033/
- St-Onge MP, Pizinger T, Kovtun K, RoyChoudhury A. Sleep and meal timing influence food intake and its hormonal regulation in healthy adults with overweight/obesity. European Journal of Clinical Nutrition. 2018 Nov 28;72(S1):76–82.
- Hirotsu C, Tufik S, Andersen ML. Interactions between sleep, stress, and metabolism: From physiological to pathological conditions. Sleep Science [Internet]. 2015;8(3):143–52. Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4688585/
- sbrock. How Sleep Deprivation Affects Your Metabolic Health [Internet]. Lifestyle Medicine. 2024. Available from: https://lifestylemedicine.stanford.edu/how-sleep-deprivation-affects-your-metabolic-health/
- González-Ortiz M, Martínez-Abundis E. Impact of Sleep Deprivation on Insulin Secretion, Insulin Sensitivity, and Other Hormonal Regulations. Metabolic Syndrome and Related Disorders. 2005 Mar;3(1):3–7.
- Spiegel K, Leproult R, L’Hermite-Balériaux M, Copinschi G, Penev PD, Van Cauter E. Leptin Levels Are Dependent on Sleep Duration: Relationships with Sympathovagal Balance, Carbohydrate Regulation, Cortisol, and Thyrotropin. The Journal of Clinical Endocrinology & Metabolism. 2004 Nov;89(11):5762–71.
- Cohen BE, Chang AA, Grady D, Kanaya AM. Restorative Yoga in Adults with Metabolic Syndrome: A Randomized, Controlled Pilot Trial. Metabolic Syndrome and Related Disorders. 2008 Sep;6(3):223–9.
- Phillips BE, Williams JP, Greenhaff PL, Smith K, Atherton PJ. Physiological adaptations to resistance exercise as a function of age. JCI Insight [Internet]. 2017 Sep 7;2(17). Available from: https://insight.jci.org/articles/view/95581
- Strasser B, Pesta D, Rittweger J, Burtscher J, Burtscher M. Nutrition for Older Athletes: Focus on Sex-Differences. Nutrients. 2021 Apr 22;13(5):1409.
- Sołtysik BK. From Lifespan to Healthspan: Integrating Nutrition and Physical Activity in Healthy Ageing. Nutrients. 2026 Feb 5;18(3):528.
- xfr P, Piaseu N. The Effectiveness of Protein Supplementation Combined with Resistance Exercise Program Among Community-Dwelling Older Adults with Sarcopenia: A Systematic Review and Meta-analysis. Epidemiology and Health. 2024 Feb 14;e2024030.
- Fragala M, Cadore E, Dorgo S, Izquierdo M, Kraemer W, Peterson M, et al. Original research resistance training for older adults: Position statement from the national strength and conditioning association [Internet]. 2019. Available from: https://www.nsca.com/contentassets/2a4112fb355a4a48853bbafbe070fb8e/resistance_training_for_older_adults__position.1.pdf
- Paiva LM de S, Almeida SG de. Suplementação de proteína associada a prática de exercícios físicos resistidos para a redução do processo de sarcopenia no envelhecimento. Research, Society and Development. 2025 Jul 21;14(7):e6514749239.
- Taylor K. Metabolic & Nutritional Factors: A 40-50 Woman’s Health Action Plan | Ubie Doctor’s Note [Internet]. Ubiehealth.com. Ubie, Inc.; 2026 [cited 2026 Apr 17]. Available from: https://ubiehealth.com/doctors-note/metabolic-nutritional-40-50-woman-health-plan-57-x22ex6
- Fernández-Verdejo R, Moya-Osorio JL, Fuentes-López E, Galgani JE. Metabolic health and its association with lifestyle habits according to nutritional status in Chile: A cross-sectional study from the National Health Survey 2016-2017. Tauler P, editor. PLOS ONE. 2020 Jul 22;15(7):e0236451.
- Gebreegziabiher G, Belachew T, Tamiru D. Effect of therapeutic lifestyle change on metabolic syndrome in adults: a randomized controlled trial. Scientific Reports [Internet]. 2025 Dec 29;15(1). Available from: https://www.nature.com/articles/s41598-025-28451-2
- Wang Q, Chair SY, Wong EML, Qiu X. Actively incorporating lifestyle modifications into daily life: The key to adherence in a lifestyle intervention programme for metabolic syndrome. Frontiers in Public Health. 2022 Aug 1;10.
- Corpeleijn E, Saris WHM, Blaak EE. Metabolic flexibility in the development of insulin resistance and type 2 diabetes: effects of lifestyle. Obesity Reviews. 2009 Mar;10(2):178–93.
- Aglaia Zafeiroudi, Ioannis Tsartsapakis, Ioannis Trigonis, Kouli O, Dimitrios Goulimaris, Charilaos Kouthouris. Embodied Mindfulness Through Movement: A Scoping Review of Dance-Based Interventions for Mental Well-Being in Recreational Populations. Healthcare [Internet]. 2025 Sep 5;13(17):2230–0. Available from: https://pmc.ncbi.nlm.nih.gov/articles/PMC12428399/
- Cleary PD. Subjective and Objective Measures of Health: Which is Better When? Journal of Health Services Research & Policy. 1997 Jan;2(1):3–4.
- Viziteu P. A comparison of subjective and objective measures of health status. EURINT. 2024;11:143–55.
- Yang Z, Wang Y, Yamashita KS, Khatibi E, Azimi I, Dutt N, et al. Integrating wearable sensor data and self-reported diaries for personalized affect forecasting. Smart health. 2024 Jun 1;32:100464–4.
- Oliveira P, Andrade R, Neto P, Costa Junior E, Santos I, Oliveira V, et al. Healful Dataset: Integrating Wearable Data with Self-Reported Quality of Life Assessments. Proceedings of the 18th International Joint Conference on Biomedical Engineering Systems and Technologies [Internet]. 2025 [cited 2026 Apr 17];611–22. Available from: https://www.scitepress.org/Papers/2025/131752/131752.pdf
- Uher I, Hedviga Vašková, Janka Poráčová, Iveta Cimbolákova, Zuzana Küchelová, Buková A, et al. Innovative health tracker that provides advanced functionalities to support and guide users in modifying their lifestyle: a Straussian ground theory approach. Frontiers in Psychology [Internet]. 2024 Jun 14;15. Available from: https://doaj.org/article/c82b965aebaa4d5f9175b4e120a74a1c