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High glycemic index (GI) meals require 1.5-fold more insulin to maintain similar glycemia compared to low GI meals.

Practitioners should consider the increased insulin needs when recommending high GI foods to individuals with T1D.

Physiological adaptation from a low- to high-carbohydrate diet may require many weeks.

Practitioners should consider that dietary transitions may not yield immediate metabolic changes.

Postprandial hyperglycemia, rather than insulin level, mediates the activation of brain areas associated with food cravings.

Understanding that hyperglycemia drives cravings can help in managing dietary choices for individuals with diabetes.

Individuals with insulin resistance (IR) have higher levels of de novo lipogenesis fatty acids (16:0: 22.9% vs 21.7% and 16:1n7: 1.8% vs 1.3%) and lower levels of omega-6 fatty acids (18:2n6: 30.8% vs 32.5%) compared to insulin sensitive (IS) individuals.

Practitioners should consider fatty acid profiles when assessing insulin resistance in overweight individuals.

Race was significantly associated with body fat reduction, indicating non-White participants gained more body fat compared to Whites.

Consideration of racial factors may be important in body fat reduction strategies.

There were no significant differences in serum TMAO, fasting glucose, fasting insulin, or vitamin B12 between vegan and omnivorous twins after 4 or 8 weeks.

Practitioners may consider that a healthy omnivorous diet can yield similar clinical outcomes as a vegan diet.

One standard deviation higher polygenic score (PS) related to smaller one-year change in waist circumference adjusted for body mass index (WCadjBMI) in the lifestyle intervention arms at year 1, predicting poorer response among White participants overall.

Practitioners should consider genetic factors when assessing weight loss responses to lifestyle interventions.

Receiving e-messages had no effect on treatment adherence, with class attendance after 6 months showing an increase of +4.6% compared to matched controls (P=.31).

The intervention of sending e-messages did not improve adherence, suggesting that alternative methods may be needed.

Participants assigned a plant-based diet for phase 1 did not see an increase in TMAO during their subsequent animal-meat phase.

Dietary sequencing may influence TMAO levels and cardiovascular risk.

Around 50 significant metabolites and 12 significant microbiota genera correlated with TMAO.

Understanding these correlations may help in developing targeted therapies for CVD prevention.

No significant differences were observed between the vegan and omnivorous diets for secondary outcomes of triglycerides or HDL-C.

The type of diet may not significantly affect triglycerides or HDL cholesterol levels.

Physiological adaptation from a low- to high-carbohydrate diet may require many weeks.

Practitioners should consider the time required for metabolic adaptation when advising dietary transitions.

There was no significant difference in energy intake between values obtained by COCO and 24-hour recall for days when both methods were used (mean 2092, SD 1044 kcal versus mean 2030, SD 687 kcal, P=.70).

COCO Nutritionist may be a viable alternative to traditional dietary recall methods for assessing energy intake.

There were no significant differences between the methods for percent of energy from protein, carbohydrate, and fat (P=.27-.89).

COCO Nutritionist provides comparable macronutrient distribution data to traditional methods.

This first demonstration of a dietary assessment method using natural spoken language to map reported foods to food composition codes demonstrates a promising new approach to automate assessments of dietary intake.

The COCO Nutritionist app could simplify dietary assessments through automated technology.

Individuals in countries with low-income consume fewer fruits and vegetables and spend a greater proportion of their income on food compared to those in high-income countries.

Practitioners should focus on improving access to fruits and vegetables in low-income areas.

Protein intake at 2.9g.kg-1.d-1 did not enhance indices of recovery following resistance exercise when peri-exercise protein consumption was controlled for.

Practitioners may consider that 1.8g.kg-1.d-1 protein intake is sufficient for recovery in trained individuals.

No differences for TNF-α or muscle soreness were reported between groups.

Practitioners may not need to focus on TNF-α or muscle soreness as differentiators in protein intake strategies.

There is no significant correlation between perceived muscle activation and EMG measured activation level for any exercise.

Practitioners should be cautious in using perceived muscle activation as an indicator of training intensity.

Self-reported muscle activation may not accurately correspond to actual muscle activation as measured via EMG.

Relying solely on perceived muscle activation for training decisions may lead to ineffective programming.

Even after bariatric surgery, patients may not lose the expected amount of weight or may experience weight regain.

Understand that bariatric surgery may not guarantee weight loss success and additional support may be needed.

Over 700 million people worldwide suffer from obesity, which is directly or indirectly responsible for about 7% of all deaths.

Healthcare practitioners should recognize the widespread impact of obesity on public health.

Bariatric surgery is recommended for the treatment of type 2 diabetes in extreme cases.

Consider bariatric surgery for patients with severe diabetes who do not respond to other treatments.

Adipositas is influenced by environmental factors and genetic variants.

Understanding the dual influence of genetics and environment can guide obesity treatment strategies.