Exp Clin Endocrinol Diabetes 2014; 122(03): 190-194
DOI: 10.1055/s-0034-1367006
Article
© J. A. Barth Verlag in Georg Thieme Verlag KG Stuttgart · New York

Cardio-respiratory Fitness is Independently Associated with Cardio-Metabolic Risk Markers in Severely Obese Women

R. Waldburger
1   Department of Surgery, Cantonal Hospital St. Gallen, Switzerland
,
B. Wilms
1   Department of Surgery, Cantonal Hospital St. Gallen, Switzerland
2   Institute of Human Movement Sciences, ETH Zurich, Zurich, Switzerland
,
B. Ernst
3   Interdisciplinary Obesity Center, eSwiss Medical & Surgical Center, St. Gallen, Switzerland
,
M. Thurnheer
3   Interdisciplinary Obesity Center, eSwiss Medical & Surgical Center, St. Gallen, Switzerland
,
B. Schultes
3   Interdisciplinary Obesity Center, eSwiss Medical & Surgical Center, St. Gallen, Switzerland
› Author Affiliations
Further Information

Publication History

received 18 November 2013
first decision 02 January 2014

accepted 15 January 2014

Publication Date:
18 March 2014 (online)

Abstract

Introduction:

Many studies have shown an inverse relationship between cardio-respiratory fitness and cardio-metabolic risk markers in normal-weight to moderately obese subjects. However, whether such a relationship exists in severely obese subjects is not known.

Materials and Methods:

Cardio-respiratory fitness was measured by bicycle spiroergometry in 308 severely obese women (all BMI>35 kg/m2). The following cardio-metabolic risk markers were assessed: Glycolized hemoglobin levels (HbA1c), fasting glucose, insulin, calculated HOMA index, triglycerides (TG), total, low-, high-density cholesterol (Chol, LDL; HDL), Chol/HDL-Ratio, and uric acid. Computed multiple stepwise linear regression models generally included age, weight and height as independent variables.

Results:

Multiple stepwise linear regression models indicated that peak but not aerobic threshold related cardio-respiratory fitness indices were independently of age, weight and height associated with several cardio-metabolic risk markers. Specifically, maximally achieved load (Watt-peak) explained 1.4% of the variance in glucose levels (beta=−0.13; p=0.04) and 2.8% of the variance in HbA1c levels (beta=−0.18; p=0.01), while maximally achieved O2-uptake explained 3.9% of the variance in TG levels (beta=−0.20, p=0.001).

Conclusion:

Our data for the first time indicate that cardio-respiratory fitness is independently associated with cardio-metabolic risk markers in severely obese women.

 
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