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Changes in vastus lateralis muscle thickness did not statistically differ between training programs with different proximities to failure.

Practitioners may consider that varying proximity to failure does not significantly impact muscle thickness gains in trained individuals.

No significant differences were observed in relative intensity between the 4-6 RPE and 7-9 RPE groups.

Resistance training programs can be designed with similar intensities without significant differences in outcomes.

No significant differences were observed in relative volume between the 4-6 RPE and 7-9 RPE groups.

Practitioners can expect similar training volumes to yield comparable results in muscle adaptations.

No significant differences were observed between the 4-6 RPE and 7-9 RPE groups for relative intensity or relative volume.

Training intensity and volume were similar between the two RPE groups, suggesting flexibility in training approaches.

No significant group × time interactions were observed between the two training protocols.

Both training approaches yield similar results, allowing flexibility in training intensity without compromising strength gains.

Changes in post-exercise cell-free DNA (cfDNA) may predict velocity of resistance exercise performance throughout a 96-hour recovery period.

Monitoring cfDNA levels may help trainers assess recovery and performance readiness.

There were no between condition differences for changes in creatine kinase (CK), lactate dehydrogenase (LDH), or delayed onset muscle soreness (DOMS).

Trainers may not need to adjust recovery protocols based on CK, LDH, or DOMS after these exercises.

Trivial between-group effect sizes were observed when comparing the strength gains of the 4-6 RPE group to the 7-9 RPE group (g = -0.12).

The similarity in strength gains suggests that both training intensities may be equally effective for improving squat strength.

The findings regarding back squat strength improvements between resistance training with 4-6 RPE and 7-9 RPE are statistically inconclusive.

Further research may be needed to clarify the effectiveness of different RPE levels in resistance training.

Autoregulated-based training (ABT) did not show a significant increase in muscle thickness of the vastus lateralis at 50% femur length (VL50) from 26.72±3.75 mm to 28.45±3.42 mm (+6.47%; p=0.16).

ABT may not be as effective as PBT for increasing VL50 muscle thickness.

The between-group effect sizes for changes in MT were trivial to small.

The differences in muscle hypertrophy between training intensities may not be clinically significant.

The findings regarding PM muscle hypertrophy between the different RPE groups are statistically inconclusive.

Further research is needed to clarify the effects of training intensity on muscle hypertrophy.

Meals in the bottom versus top half of glycemic responses ranked by Abbott resulted in 50±10% less glycemic reduction compared to Dexcom.

Meal planning should account for differences in CGM readings to optimize glycemic control.

Mathematical models provide insights into the drivers of the obesity epidemic and how metabolism adapts to different diets.

Practitioners can utilize mathematical models to better understand obesity and dietary impacts on metabolism.

Mathematical models can infer physiological variables that are difficult to measure directly.

Practitioners can leverage mathematical models to gain insights into physiological variables that are otherwise challenging to assess.

The discrepancy in energy expenditure between the metabolic ward and respiratory chamber was smaller than previously found in exercising men.

This suggests that exercise may significantly influence energy expenditure measurements.

Failure to reproduce previous results may be due to the lack of exercise, inclusion of women, or wider range of BMIs.

Understanding these factors can help in designing future studies on energy expenditure.

The historical view that 'a calorie is a calorie' is an oversimplification.

Practitioners should be cautious of oversimplified views on calorie intake.

The reanalysis of the randomized crossover trial did not support the carbohydrate-insulin model of obesity.

Practitioners should be cautious about claims supporting the carbohydrate-insulin model based on flawed analyses.

A mathematical model was developed to calculate the body weight change arising from a given energy intake change.

This model can assist practitioners in estimating necessary changes in energy intake for weight maintenance.

There was a significant main effect of resting muscle glycogen content, exercise intensity, and time on pyruvate dehydrogenase (PDH) activation.

Understanding the effects of glycogen and intensity on PDH can inform training and nutrition strategies.

Fat-adaptation did not provide a clear benefit to performance in a 1-hour time-trial after 4 hours of submaximal cycling.

Practitioners should note that fat-adaptation may not improve performance in time-trial events.

Phosphorylation of p70S6KThr389 is similar in both low and normal glycogen conditions following resistance exercise.

Resistance training outcomes may not be adversely affected by low glycogen levels in terms of key signaling pathways.

Pre-exercise ingestion alters metabolic response by increasing insulin concentration and decreasing plasma glucose concentration, but does not affect exercise tolerance.

Practitioners should be aware that while pre-exercise meals can alter metabolic responses, they do not necessarily improve exercise performance in cardiac rehabilitation patients.