scholarly journals Breath Acetone Measurement-Based Prediction of Exercise-Induced Energy and Substrate Expenditure

Sensors ◽  
2020 ◽  
Vol 20 (23) ◽  
pp. 6878
Author(s):  
Min Jae Kim ◽  
Sung Hyun Hong ◽  
Wonhee Cho ◽  
Dong-Hyuk Park ◽  
Eun-Byeol Lee ◽  
...  

The purpose of our study was to validate a newly developed breath acetone (BrAce) analyzer, and to explore if BrAce could predict aerobic exercise-related substrate use. Six healthy men ran on a treadmill at 70% of maximal oxygen consumption (VO2max) for 1 h after two days of a low-carbohydrate diet. BrAce and blood ketone (acetoacetate (ACAC), beta-hydroxybutyrate (BOHB)) levels were measured at baseline and at different time points of post-exercise. BrAce values were validated against blood ketones and respiratory exchange ratio (RER). Our results showed that BrAce was moderately correlated with BOHB (r = 0.68, p < 0.01), ACAC (r = 0.37, p < 0.01) and blood ketone (r = 0.60, p < 0.01), suggesting that BrAce reflect blood ketone levels, which increase when fat is oxidized. Furthermore, BrAce also negatively correlated with RER (r = 0.67, p < 0.01). In our multiple regression analyses, we found that when BMI and VO2max were added to the prediction model in addition to BrAce, R2 values increased up to 0.972 at rest and 0.917 at 1 h after exercise. In conclusion, BrAce level measurements of our BrAce analyzer reflect blood ketone levels and the device could potentially predict fat oxidation.

2014 ◽  
Vol 28 (S1) ◽  
Author(s):  
Laura Kunces ◽  
Brittanie Volk ◽  
Daniel Freidenreich ◽  
Catherine Saenz ◽  
Maria Luz Fernandez ◽  
...  

2015 ◽  
Vol 25 (6) ◽  
pp. 304-311
Author(s):  
Hiroto Sasaki ◽  
Aya Ishibashi ◽  
Yoshihumi Tsuchiya ◽  
Nobuhiro Shimura ◽  
Toshiyuki Kurihara ◽  
...  

Nutrients ◽  
2021 ◽  
Vol 13 (1) ◽  
pp. 211
Author(s):  
Faiza Kalam ◽  
Kelsey Gabel ◽  
Sofia Cienfuegos ◽  
Mark Ezpeleta ◽  
Eric Wiseman ◽  
...  

Background: Alternate day fasting combined with a low carbohydrate diet (ADF-LC) is an effective weight loss regimen. Whether the weight loss induced by ADF-LC can improve sleep, remains unknown. Objective: This study examined the effect an ADF-LC diet on sleep quality, duration, insomnia severity and the risk of obstructive sleep apnea. Methods: Adults with obesity (n = 31) participated in ADF (600 kcal “fast day”; ad libitum intake “feast day”) with a low-carbohydrate diet (30% carbohydrates, 35% protein, and 35% fat). The 6-month trial consisted of a 3-month weight loss period followed by a 3-month weight maintenance period. Results: Reductions in body weight (−5 ± 1 kg, p < 0.001) and fat mass (−4 ± 1 kg, p < 0.01) were noted during the weight loss period, and these reductions were sustained during the weight maintenance period. Lean mass and visceral fat remained unchanged. The Pittsburgh Sleep Quality Index (PSQI) score indicated poor sleep quality at baseline (6.4 ± 0.7) with no change by month 3 or 6, versus baseline. ISI score indicated subthreshold insomnia at baseline (8.5 ± 1.0), with no change by month 3 or 6, versus baseline. The percent of subjects with high risk of obstructive sleep apnea at baseline was 45%, with no change by month 3 or 6. Wake time, bedtime, and sleep duration remained unchanged. Conclusion: The ADF-LC diet does not impact sleep quality, duration, insomnia severity or the risk of obstructive sleep apnea in adults with obesity.


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