Description
Fibion Sens: Optimize Your Health with Scientifically Validated Measurements and Resting Metabolism Tracking
In a world where sedentary behavior and physical activity are key factors for health, having precise tools to analyze lifestyle habits and metabolism is crucial. Fibion Sens, combined with resting metabolism measurement through indirect respiratory calorimetry, offers a comprehensive and scientifically validated solution to enhance participants’ overall health.
A Comprehensive Assessment of Physical Activity and Metabolism
Accurate Measurements of Physical Activity and Sedentary Behaviors
Fibion Sens rigorously analyzes:
- Time spent sitting
- Posture distribution (sitting, standing, moving)
- Intensity of physical activity (light, moderate, vigorous)
These data help identify problematic habits and provide concrete recommendations for a more active lifestyle.
Indirect Respiratory Calorimetry: A Precise Measure of Resting Metabolism
Indirect calorimetry measures resting metabolic rate (RMR) by analyzing respiratory gas exchanges (oxygen consumption and CO₂ production). This assessment provides an accurate picture of individual energy needs at rest, offering several advantages:
- Personalized Nutrition Plans: Tailor caloric intake to meet individual needs for optimal weight management.
- Improved Energy Management: Understanding how metabolism works allows for better alignment of nutritional intake with energy expenditure.
- Enhanced Physical Performance: For athletes or active individuals, this measurement aids in planning nutrition and recovery effectively.
- Assessment of Metabolic Issues: Identify slower or irregular metabolisms to implement targeted strategies.
Joint Benefits for Participants’ Health
By combining Fibion Sens with indirect calorimetry, participants receive a complete, precise, and actionable health assessment. Key benefits include:
- Reduction of Sedentary Behaviors: Awareness of sitting time, coupled with specific recommendations, helps lower the risks of cardiovascular and metabolic diseases.
- Improvement in Body Composition: With resting metabolism measurement, participants benefit from an energy plan tailored for weight management and body composition (reducing fat mass while maintaining muscle mass).
- Optimization of Nutritional and Lifestyle Habits: By understanding their energy needs and activity levels, individuals can adjust their dietary intake and incorporate more active breaks for optimal health balance.
- Enhanced Metabolic Health: By targeting physical activity periods and optimizing energy expenditure, participants reduce the risks of type 2 diabetes, metabolic syndrome, and other disorders related to dysfunctional metabolism.
- Better Performance and Recovery: For athletes or active workers, the combination of these tools improves performance by precisely adjusting training, nutrition, and rest.
A Scientific and Holistic Solution for Sustainable Health
The integration of Fibion Sens and indirect respiratory calorimetry provides a comprehensive, reliable, and personalized assessment. This combination enhances understanding of the interactions between physical habits, sedentary behavior, and energy metabolism, offering science-based strategies to improve health, vitality, and quality of life.
Why Measure Resting Metabolism?
Since Lavoisier’s work in the mid-1700s, we have been able to determine energy expenditure through the measurement of inspired and expired gases. Indirect respiratory calorimetry allows us to measure the calories we release under various conditions. Measuring resting metabolism determines the energy required to fuel the body in the absence of muscle contraction. This baseline energy expenditure provides a direct measure of your metabolism, rather than a prediction, which is often based on outdated equations. If you’ve previously received a value for your resting metabolism without measuring gas exchanges, it was likely a predicted value derived from an equation (often from the 1920s). Predicted resting metabolism values are typically normal because the equations used always predict normality. If your resting metabolism deviates from the norm, no equation can identify this discrepancy. When a resting metabolism measurement is conducted, it allows for comparison between the measured value and the predicted value, determining whether your metabolic rate is “normal,” “slower,” or “faster” than it should be.
Resting energy expenditure accounts for 60% to 80% of the calories you burn daily. By combining resting metabolism measurement with energy expenditure associated with physical activity, you can obtain a valid, precise, and complete energy balance of your daily calorie expenditure. This information is extremely useful for managing nutritional intake (how many calories should I eat?) and recovery (am I overdoing it for my capabilities?).
Measuring your resting metabolism is simple and effortless; you just need to relax and lie down for about fifteen minutes while a device attached to a mask samples the air you inhale and exhale. The biggest challenge during this test is staying awake throughout the measurement…
Few places have the necessary equipment to obtain these values, along with the expertise to analyze your results in depth and provide accurate insights into your metabolism.
Why Perform This Measurement When I Have All This Information from My Fitbit/Garmin/Polar/Apple Watch/Galaxy Watch?
Commercial accelerometers have quickly gained popularity, and the vast majority of smartwatches and similar devices offer measurements of physical activity and sleep. While their use can be beneficial, their validity in determining sleep and energy expenditure remains low. One significant limitation lies in the opacity of data processing, the algorithms used, and the sampling frequency of the measurements. These elements are critical and greatly influence the final results. For example, a sampling frequency below 30 Hz (30 times per second) or above 100 Hz dramatically alters energy expenditure and sleep values. To date, it is impossible to know the methodology behind the data collection and processing of commercial accelerometers. We must trust those who do not wish to disclose this information…
Fibion Sens research-grade accelerometers allow for full configuration of the critical steps in data collection, processing, and analysis based on published and peer-reviewed scientific sources. These devices are traditionally used for research, and their validity has been demonstrated multiple times.
By conducting this analysis, you can compare your results with those from your smartwatch to verify their validity and use them more appropriately in the future.
Combining this with a resting metabolism measurement provides a true picture of your energy expenditure.
References
- Sushames, A., et al. “Validity and Reliability of Fitbit Flex for Step Count, Moderate to Vigorous Physical Activity and Activity Energy Expenditure.” PLoS One, 2016. 11(9): e0161224.
- Kaewkannate, K. and S. Kim. “A comparison of wearable fitness devices.” BMC Public Health, 2016. 16: 433.
- Dominick, G.M., et al. “Physical Activity Assessment Between Consumer- and Research-Grade Accelerometers: A Comparative Study in Free-Living Conditions.” JMIR Mhealth Uhealth, 2016. 4(3): e110.
- Chu, A.H., et al. “Comparison of wrist-worn Fitbit Flex and waist-worn ActiGraph for measuring steps in free-living adults.” PLoS One, 2017. 12(2): e0172535.
- Plasqui, G. and K.R. Westerterp. “Physical activity assessment with accelerometers: an evaluation against doubly labeled water.” Obesity (Silver Spring), 2007. 15(10): 2371-9.
- Kolla, B.P., S. Mansukhani, and M.P. Mansukhani. “Consumer sleep tracking devices: a review of mechanisms, validity and utility.” Expert Review of Medical Devices, 2016. 13(5): 497-506.
- Evenson, K.R., M.M. Goto, and R.D. Furberg. “Systematic review of the validity and reliability of consumer-wearable activity trackers.” International Journal of Behavioral Nutrition and Physical Activity, 2015. 12(1).
- Yang, Y., Schumann, M., Le, S. & Cheng, S. “Reliability and validity of a new accelerometer-based device for detecting physical activities and energy expenditure.” PeerJ 6, e5775 (2018).
- Rogers, W.G., et al. “Measuring posture and motion using the thigh-and pocket-worn Fibion device in laboratory and free-living settings.” (2024).
- Pesola, A.J., et al. “Sensitivity and specificity of measuring children’s free-living cycling with a thigh-worn Fibion® accelerometer.” Frontiers in Sports and Active Living 5(2023).
- Montoye, A.H.K., et al. “Evaluation of Two Thigh-Worn Accelerometer Brands in Laboratory and Free-Living Settings.” Journal for the Measurement of Physical Behavior 5, 233-241 (2022).
- Arumugam, A., et al. “Does Google Fit provide valid energy expenditure measurements of functional tasks compared to those of Fibion accelerometer in healthy individuals? A cross-sectional study.” Diabetes & Metabolic Syndrome: Clinical Research & Reviews 15, 102301-102301 (2021).
- Alkalih, H.Y., Pesola, A.J. & Arumugam, A. “A new accelerometer (Fibion) device provides valid sedentary and upright time measurements compared to the ActivPAL4 in healthy individuals.” Heliyon 8, e11103 (2022).










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