Dataset Information

Partial-Body Cryostimulation Increases Resting Energy Expenditure in Lean and Obese Women.

ABSTRACT: Cryostimulation is currently seen as a potential adjuvant strategy to tackle obesity and dysmetabolism by triggering cold-induced thermogenesis. Although suggestive, the underlying mechanisms are still poorly elucidated. We tested whether single or repeated applications of partial-body cryostimulation (PBC) could influence resting energy expenditure (REE) in exposed individuals. Fifteen middle-aged obese and sixteen control lean women (body mass index 31 ± 1.6 kg/m2 and 22 ± 1.7 kg/m2) underwent a daily PBC (-130 °C × 150 s) for five consecutive days. Resting energy metabolism (REE) was assessed by indirect calorimetry pre- and post-PBC on day 1 and day 5. As concerns REE, the linear mixed model revealed that REE changes were explained by session and time (F1,29 = 5.58; p = 0.02; ƞp2 = 0.16) independent of the group (F1,29 = 2.9; p = 0.09; ƞp2 = 0.09). REE pre-PBC increased from day 1 to day 5 either in leans (by 8.2%, from 1538 ± 111 to 1665 ± 106 kcal/day) or in obese women (by 5.5%, from 1610 ± 110 to 1698 ± 142 vs kcal/day). Respiratory quotient was significantly affected by the time (F1,29 = 51.61; p < 0.000001, ƞp2 = 0.64), as it increased from pre- to post-PBC, suggesting a shift in substrate oxidation. According to these preliminary data, cold-induced thermogenesis could be explored as a strategy to elevate REE in obese subjects. Longitudinal studies could test whether chronic PBC effects may entail favorable metabolic adaptations.

SUBMITTER: De Nardi M

PROVIDER: S-EPMC8070728 | biostudies-literature | 2021 Apr

REPOSITORIES: biostudies-literature

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Partial-Body Cryostimulation Increases Resting Energy Expenditure in Lean and Obese Women.

De Nardi Massimo M Bisio Ambra A Della Guardia Lucio L Facheris Carlo C Faelli Emanuela E La Torre Antonio A Luzi Livio L Ruggeri Piero P Codella Roberto R

International journal of environmental research and public health 20210414 8

Cryostimulation is currently seen as a potential adjuvant strategy to tackle obesity and dysmetabolism by triggering cold-induced thermogenesis. Although suggestive, the underlying mechanisms are still poorly elucidated. We tested whether single or repeated applications of partial-body cryostimulation (PBC) could influence resting energy expenditure (REE) in exposed individuals. Fifteen middle-aged obese and sixteen control lean women (body mass index 31 ± 1.6 kg/m<sup>2</sup> and 22 ± 1.7 kg/m< ...[more]

PMID: 33919703

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Project description:Background/objectivesThe aim of this study was to compare resting energy expenditure (REE) measured (MREE) by indirect calorimetry (IC) and REE predicted (PREE) from established predictive equations in a large sample of obese Caucasian adults.Subjects/methodsWe evaluated 1851 obese patients (body mass index (BMI)>30 kg m-2) aged between 18a and 65 years. Data were obtained by comparing MREE with PREE, derived from different equations, within and between normal weight and obese groups. The mean differences between PREE and MREE as well as the accuracy prediction within ±10% level were investigated in the whole sample and in three subgroups, classified by BMI (Group 1=30-39.9 kg m-2; Group 2=40-49.9 kg m-2; Group 3>50 kg m-2).ResultsWe observed that FAO, Henry and Muller3 (body composition (BC)) equations provided good mean PREE-MREE (bias -0.7, -0.3 and 0.9%; root mean standard error (RMSE) 273, 263 and 269 kcal per day, respectively); HB and Henry equations were more accurate individually (57 and 56.9%). Only the Muller1 (BC) equation gave the lowest PREE-MREE difference (bias -1.7%; RMSE 228 kcal per day) in females, while Johnstone and De Lorenzo equations were the most accurate (55.1 and 54.8%). When the sample was split into three subgroups according to BMI, no differences were found in males; however, the majority of the equations included in this study failed to estimate REE in severely obese females (BMI>40 kg m-2). Overall, prediction accuracy was low (~55%) for all predictive equations, regardless of BMI.ConclusionsDifferent established equations can be used for estimating REE at the population level in both sexes. However, the accuracy was very low for all predictive equations used, particularly among females and when BMI was high, limiting their use in clinical practice. Our findings suggest that the validation of new predictive equations would improve the accuracy of REE prediction, especially for severely obese subjects (BMI>40 kg m-2).

Dataset Information

Partial-Body Cryostimulation Increases Resting Energy Expenditure in Lean and Obese Women.

Publications

Partial-Body Cryostimulation Increases Resting Energy Expenditure in Lean and Obese Women.

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