ArticleJournal of endocrinological investigation2016
A specific prediction equation is necessary to estimate peak oxygen uptake in obese patients with metabolic syndrome.
Article in Journal of endocrinological investigation, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01326416 (Evaluation of the Impact of Physical Reconditioning Associated With Specific Nutritional Supplementation in Obese Patients Suffering From Metabolic Syndrome. OBEFITT Study.), which is not on this map. Cited by 6 papers.
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Evaluation of the Impact of Physical Reconditioning Associated With Specific Nutritional Supplementation in Obese Patients Suffering From Metabolic Syndrome. OBEFITT Study.
Who cites it
6 citing papers in PubMed, 17 citations in OpenAlex.
- Trial
- Validity of Estimated Cardiorespiratory Fitness in Patients With Primary Breast Cancer.JACC. CardioOncology · 2022Article
- Validity of maximal oxygen consumption prediction equations in young Saudi females.Saudi medical journal · 2019Article
- Asthaxanthin Improves Aerobic Exercise Recovery Without Affecting Heat Tolerance in Humans.Frontiers in sports and active living · 2019Article
- Benefits of a regular vs irregular rhythm-based training programme on physical fitness and motor skills in obese girls.Journal of endocrinological investigation · 2017Article
- Sport and male sexuality.Journal of endocrinological investigation · 2017Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 5 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeThe 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.
methodsSeventy-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.
conclusionsThe 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.
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