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A high protein diet (PRO) had a limited benefit on metabolic flexibility compared to a control diet (CON).

While a high protein diet is beneficial, its impact on metabolic flexibility may not be significant for older adults.

Resistance training frequency does not significantly affect changes in muscle mass.

Increasing resistance training frequency may not lead to greater muscle mass gains.

Protein supplementation during aerobic training did not significantly enhance cardiorespiratory fitness compared with an isocaloric placebo.

Practitioners should consider that protein supplementation may not provide additional benefits for improving cardiorespiratory fitness in stroke patients undergoing aerobic training.

Supplementation often fails to improve protein balance or related physiological and performance outcomes under severe operational stress.

Practitioners should consider that protein supplementation may not be beneficial in high-stress operational environments.

There was no significant relationship between body fat mass changes and daily protein intake.

Practitioners should note that increasing protein intake may not affect body fat loss in older women.

Medication adherence increased from 52.8% to 84%.

Encouraging medication adherence can significantly improve patient outcomes.

Pre-intervention, the score of the survey of adherence to the Mediterranean diet was relatively low (7.44 ± 0.22 points).

Understanding baseline adherence levels can help tailor interventions effectively.

In women, an ILI-associated decrease in estradiol of 14% from baseline to year 1 mediated a decline in whole-body BMD of -1.15 mg/cm2.

Practitioners should consider the hormonal changes in postmenopausal women when implementing weight loss interventions.

In men, an ILI-associated increase of 11% in total testosterone mediated a decline of hip BMD of -1.18 mg/cm2.

Practitioners should consider the hormonal changes in older men when implementing weight loss interventions.

ILI-associated changes in estradiol and total testosterone resulted in whole-body and hip bone loss.

Weight loss interventions may lead to hormonal changes that affect bone health in older adults.

The concept of diabesity is based on the twin epidemics of obesity and diabetes.

Healthcare providers should understand the link between obesity and diabetes in managing diabesity.

Lipotoxicity and inflammation cause insulin resistance in the liver and muscle.

Understanding these mechanisms can aid in developing treatment strategies for insulin resistance.

The T2D prediction model achieves 95.27% ROC-AUC, with 88.48% sensitivity and 87.19% specificity.

The model can be effectively used for early detection of T2D in diverse populations.

The model handles missing data naturally without complex preprocessing and imputation.

The model's ability to manage incomplete data makes it suitable for real-world applications.

Insulin resistance in aging is a multisystem phenomenon reflecting declining metabolic adaptability rather than a simple glucose disorder.

Practitioners should consider insulin resistance as a complex, systemic issue in older patients, not just a glucose management problem.

Age-related insulin resistance arises from interconnected mechanisms, including inflammaging, cellular senescence, and mitochondrial dysfunction.

Understanding these interconnected mechanisms can help in developing targeted interventions for older adults.

Muscle metabolic quality, rather than adiposity alone, emerges as a key determinant of insulin sensitivity in older adults.

Emphasizing muscle quality in interventions may improve insulin sensitivity in older patients.

Innovative obesity therapies could transform long-term outcomes of preeclampsia.

Practitioners should stay informed about new obesity therapies that may improve long-term health outcomes for women with preeclampsia.

Modern research has identified various factors that modulate insulin resistance, indicating the need for targeted therapies.

Identifying modulating factors can help in developing personalized treatment strategies for insulin resistance.

Current genomic risk scores alone may not lead to superior weight loss.

Practitioners should not rely solely on genomic risk scores for weight loss strategies.

There is a need for multiomicron integration in personalized nutrition.

Practitioners should consider integrating various omics data for more effective personalized nutrition strategies.

Much remains to be done to make PN interventions more effective and equitable.

Efforts should focus on improving the design and implementation of PN interventions to enhance their effectiveness and accessibility.

The MM diet did not reduce fat mass compared to a usual diet (UD) with a mean difference of -11.36 kg.

Practitioners should be cautious in recommending MM diets for fat loss compared to usual diets.

A comprehensive redefinition of obesity in Asian Indians is needed beyond BMI criteria.

Practitioners should consider factors beyond BMI when diagnosing obesity in Asian Indians.