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J Endocrinol Invest. 2016 Jun;39(6):635-42. doi: 10.1007/s40618-015-0411-7. Epub 2015 Dec 22.

A specific prediction equation is necessary to estimate peak oxygen uptake in obese patients with metabolic syndrome.

Author information

1
Service de Physiologie Digestive, Urinaire, Respiratoire Et Sportive, CHU Rouen, 76000, Rouen, France. david.debeaumont@chu-rouen.fr.
2
Pavillon de Pneumologie, La Clairière, CHU Bois-Guillaume, 76031, Rouen Cedex, France. david.debeaumont@chu-rouen.fr.
3
Service de Physiologie Digestive, Urinaire, Respiratoire Et Sportive, CHU Rouen, 76000, Rouen, France.
4
UPRES EA 3830, GRHV, 76000, Rouen, France.
5
Service de Nutrition, CHU Rouen, 76000, Rouen, France.
6
UFR STAPS, Université de Rouen, 76000, Rouen, France.
7
EA 3832, CETAPS, 76 821, Mont Saint Aignan, France.
8
INSERM U1073, CHU Rouen, 76000, Rouen, France.
9
Unité de Biostatistiques, CHU Rouen, 76000, Rouen, France.
10
Service de Pneumologie et Soins Intensifs Respiratoires, CHU Rouen, UPRES EA 3830, Université de Rouen, 76000, Rouen, France.

Abstract

PURPOSE:

The aims were to: (1) compare peak oxygen uptake ([Formula: see text]peak) predicted from four standard equations to actual [Formula: see text]peak measured from a cardiopulmonary exercise test (CPET) in obese patients with metabolic syndrome (MetS), and (2) develop a new equation to accurately estimate [Formula: see text]peak in obese women with MetS.

METHODS:

Seventy-five obese patients with MetS performed a CPET. Anthropometric data were also collected for each participant. [Formula: see text]peak was predicted from four prediction equations (from Riddle et al., Hansen et al., Wasserman et al. or Gläser et al.) and then compared with the actual [Formula: see text]peak measured during the CPET. The accuracy of the predictions was determined with the Bland-Altman method. When accuracy was low, a new prediction equation including anthropometric variables was proposed.

RESULTS:

[Formula: see text]peak predicted from the equation of Wasserman et al. was not significantly different from actual [Formula: see text]peak in women. Moreover, a significant correlation was found between the predicted and actual values (p < 0.001, r = 0.69). In men, no significant difference was noted between actual [Formula: see text]peak and [Formula: see text]peak predicted from the prediction equation of Gläser et al., and these two values were also correlated (p = 0.03, r = 0.44). However, the LoA95% was wide, whatever the prediction equation or gender. Regression analysis suggested a new prediction equation derived from age and height for obese women with MetS.

CONCLUSIONS:

The methods of Wasserman et al. and Gläser et al. are valid to predict [Formula: see text]peak in obese women and men with MetS, respectively. However, the accuracy of the predictions was low for both methods. Consequently, a new prediction equation including age and height was developed for obese women with MetS. However, new prediction equation remains to develop in obese men with MetS.

KEYWORDS:

Aerobic fitness; Cardiorespiratory fitness; Cycle ergometer; Maximal oxygen consumption; Obesity

PMID:
26694707
DOI:
10.1007/s40618-015-0411-7
[Indexed for MEDLINE]

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