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Low-Carb Training Needs 0.12g/kg More Protein: Fitbit Reliability & Salt Benefits

Elena MacLeodElena MacLeod
8 min read

Recent developments in nutrition, physical activity, and dietary supplements offer a blend of insights for fitness enthusiasts. Insights from Recent Fitness Tracker Evaluations and Training Protocols Without groundbreaking advancements in nutrition, physical training, or supplementation research, th

Recent developments in nutrition, physical activity, and dietary supplements offer a blend of insights for fitness enthusiasts.

Insights from Recent Fitness Tracker Evaluations and Training Protocols

Without groundbreaking advancements in nutrition, physical training, or supplementation research, this edition revives the classic short updates format previously featured in specialized fitness resources. This particular update highlights two key studies plus an additional one from the most recent publications in Medicine & Science in Sports & Exercise, including some pre-published articles available ahead of print.

The discussion begins with an examination of the precision and practical value of the Fitbit Charge 2.0, a popular device for monitoring fitness levels. However, many readers may find greater relevance in the investigation into low-carbohydrate or low-glycogen training strategies, marking the first study to precisely measure the anticipated rise in protein and amino acid needs for individuals strategically limiting carbs to enhance mitochondrial adaptations from workouts. This approach aligns with advanced training methods designed to optimize cellular responses in athletes.

Graph showing Fitbit Charge 2.0 VO2max accuracy compared to lab tests in epochs of 15 and 60 seconds

Evaluating the Reliability of Fitbit Charge 2.0 for Cardiorespiratory Fitness Assessment

Past analyses have scrutinized the reliability of various fitness trackers, with prior research concentrating primarily on their capacity to measure energy expenditure accurately. This update shifts focus to a specific study assessing the Fitbit Charge 2.0's effectiveness in evaluating cardiorespiratory fitness levels.

Researchers from California conducted tests on 65 healthy adults aged 18 to 45 years, comprising 55% females and 45% males. They employed the gold-standard VO2max laboratory testing protocol and juxtaposed these results against estimates from the Fitbit Charge 2.0. Participants wore the device continuously for one week and performed a required outdoor run to generate the Fitbit's cardiorespiratory fitness (CRF) metric, expressed in mL/kg/min.

Details of the Testing Procedure: The protocol involved a maximal graded exercise test on a treadmill. Following a 5- to 10-minute warm-up at a pace chosen by the participant, the exercise commenced at 5 mph (approximately 8 km/h) with no incline for three minutes. Thereafter, the intensity escalated by roughly 0.75 METs each minute, first through speed increases of 0.5 mph per minute for two minutes, followed by 1.5% incline increments every subsequent minute. Upon reaching volitional fatigue, indicated by participant reports or observable signs, the treadmill speed dropped to 2.0 mph, allowing a cool-down walk until full recovery. Data from both the laboratory equipment and Fitbit were processed in 15-second and 60-second epochs, with longer epochs selected to minimize overestimation of VO2max.

Statistical analysis using Bland-Altman plots indicated that the Fitbit CRF showed a positive bias of 1.59 mL/kg/min relative to 15-second laboratory epochs and 0.30 mL/kg/min for 60-second epochs (n=60). These discrepancies are relatively modest, and with mean absolute percentage errors below 10% in both cases, the device provides actionable data superior to none at all.

Critics might contend that such margins still render the readings imprecise, yet for most users, exact VO2max figures hold limited practical value. Athletes benefit more from tracking progressive improvements over time via consistent Fitbit measurements, offering a reliable trend indicator.

Potential buyers should note that these findings pertain to young, healthy, fit individuals capable of running outdoors. Extrapolating accuracy to unfit, obese, or metabolically compromised populations—who often need fitness enhancements most—is uncertain, as their ability to complete VO2max tests may be limited. Moreover, results are device-specific; while technological advancements likely maintain or improve accuracy in newer models, each iteration warrants independent validation.

Diagram illustrating the study protocol for low and high carbohydrate availability trials including HIIT and 10km run

Increased Protein Demands During Low-Carbohydrate Endurance Training

Researchers from the Faculty of Kinesiology and Physical Education at the University of Toronto assert that training under low-carbohydrate conditions elevates protein needs for endurance athletes. This conclusion stems from a controlled experiment involving eight endurance-trained males who typically logged 56 ± 16 km of weekly running. The protocol replicated elements of an earlier acute sleep-low training model.

Participants underwent two metabolic trials in a randomized crossover setup, spaced at least five days apart. Each trial featured high-intensity interval training (HIIT) in the evening of day 1, followed by a moderate-intensity 10 km run the next morning. In the low-carbohydrate availability (LOW) condition, athletes consumed most daily carbohydrates (7.8 g/kg) before the evening HIIT, then restricted intake post-exercise and overnight (0.2 g/kg). Conversely, the high-carbohydrate availability (HIGH) trial involved less than half the daily carbs pre-HIIT (3 g/kg), with the bulk (5 g/kg) post-exercise. On day 2 mornings, the LOW group ran fasted, while HIGH received 1.2 g/kg carbs. Post-run, energy-matched meals were provided (LOW: 1.8 g/kg; HIGH: 0.6 g/kg) before an 8-hour indicator amino acid oxidation (IAAO) assessment.

Dietary Provisions: Over the 24 hours preceding the 10 km run, diets supplied 1.6 times the participants' resting energy expenditure, totaling about 3574 ± 453 kcal. These comprised macronutrient-balanced meals (8 g carbs/kg, 1.4 g protein/kg), with fats filling energy gaps. Meals were identical in composition except for carbohydrate timing and total fat/energy variances to achieve LOW (5.8 g carbs/kg, 0.85 g protein/kg, ~0.80 g fat/kg) versus HIGH (1 g carbs/kg, 0.68 g protein/kg, ~0.52 g fat/kg) distinctions. Prepackaged foods ensured consistency.

Training sessions remained uniform: evening HIIT consisted of 10 intervals of 5-minute runs at 10 km race pace with 1-minute recoveries; morning sessions were 10 km runs at ~80% maximum heart rate, speeds preset from baseline tests.

Measuring Protein Metabolism: Post-10 km run and meal, the IAAO method evaluated phenylalanine metabolism as a proxy for protein requirements. Each of 12 meals delivered 1/12th of daily energy needs and 0.93 g/kg protein, enriched with excess phenylalanine (30.5 mg/kg/day) and tyrosine (40 mg/kg/day) to direct oxidation measurement. This tracer technique quantifies amino acid oxidation for energy when glycogen is depleted.

Chart depicting postexercise net protein balance differences between LOW and HIGH carbohydrate trials after 10km run

Phenylalanine flux showed no inter-trial differences, but oxidation rose 11% in LOW versus HIGH (P=0.03). This led to an estimated daily protein requirement increase of 0.12 g/kg, equating to roughly 9 grams for a 75 kg athlete, ideally from high essential amino acid sources. Such supplementation could offset the 12% net protein balance reduction observed in LOW conditions.

Long-term implications for performance and body composition remain unstudied in this acute, small-sample (N=8) trial. Nonetheless, given protein's role in muscle remodeling, these results suggest value in boosting intake during low-carb sessions to counter elevated amino acid oxidation for mitochondrial energy or gluconeogenesis. Future studies should explore whole-food protein effects on recovery, adaptations, and outcomes in low-CHO strategies.

Key Caveat: Findings are specific to endurance athletes in glycogen-depleted states. Resistance trainers or shorter sessions may not experience identical shifts. Prolonged fasted cardio at moderate intensity on low-carb diets might approximate these conditions.

Bar graph of postexercise net protein balance in low vs high CHO availability after 10-km run with statistical significance Graph illustrating systolic blood pressure effects from salt loading protocol within 5mmHg range

Salt Loading as a Counter to Post-Exercise Blood Pressure Drops

Amid widespread concerns over high salt intake and advice to hydrate excessively beyond thirst during exercise, many experience post-workout crashes due to plummeting blood pressure from elevated exercise levels to hypotension.

A study by Babcock and colleagues from the Universities of Delaware and Connecticut offers a straightforward remedy, though not originally intended for this purpose. Ironically aimed at highlighting salt's risks, their 10-day protocol raised daily salt from a standardized 2300 mg to 3600 mg (an increase of 1300 mg). Results revealed blunted post-exercise hypotension, particularly in systolic pressure within a 5 mmHg range.

For those feeling faint post-workout—especially on low-carb regimens or reduced salt—strategic salt loading or seasoning to taste can stabilize blood pressure. This is not universal advice; individuals with salt-sensitive hypertension must avoid it, as it could exacerbate conditions.

In summary, these findings from recent research provide practical guidance: monitor fitness trends with devices like Fitbit judiciously, increase protein by about 0.12 g/kg during low-carb endurance efforts, and consider salt adjustments to mitigate post-exercise dips, always tailored to individual health profiles.

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