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Cited by 12

The DOI matches its Crossref record; 47 of the 47 references it cites were found in a registry or an index.

Relationship between submaximal oxygen uptake, detailed body composition, and resting energy expenditure in overweight subjects

Pourhassan, Maryam, Eggeling, Benjamin, Schautz, Britta, Johannsen, Maike, Kiosz, Dieter, Glüer, Claus‐Christian, Bosy‐Westphal, Anja, Müller, Manfred James·2015·American Journal of Human Biology
DOI 10.1002/ajhb.22666
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Abstract

Objective: We investigated the impact of detailed body composition on aerobic fitness to determine whether regional components of fat mass have independent effects on VO 2submax, and whether VO 2submax and detailed body composition independently explain variation in REE. Methods: 71 healthy adults (80% female, 20% male, BMI 28.2–43.8 kg/m 2) were investigated. Body composition was measured by the four‐compartment model together with whole body magnetic resonance imaging (MRI) to assess high and low metabolic rate organs and regional fat depots. VO 2submax was estimated at 75% of predicted maximum heart rate. Results: There was a strong association between VO 2submax and FFM and all organ masses except for heart. Skeletal muscle mass accounted for 34.8% of the variance in VO 2submax. In addition, subcutaneous adipose tissue (SAT) of extremities explained additional 14.4%. FFM and FM explained 71.3% of the variance in REE. Including the components of FFM and FM, the explained variance in REE increased by about 5.8%; skeletal muscle mass explained 70.0% of the variance in REE and kidney and liver masses explained additional 7.1%. VO 2submax correlated with REE. Taking into account body composition, VO 2submax did not add to the variance in REE. Conclusion: FFM is a determinant of both VO 2submax and REE. Modeling either REE or VO 2submax from individual components of FFM, about 77.1% of variance in REE (by muscle, liver and kidneys mass) and 34.8% of variance in VO 2submax (by skeletal muscle mass) could be explained. FM explained additional variance in REE, whereas SAT of extremities added to the variance in VO 2submax only. Am. J. Hum. Biol. 27:397–406, 2015. © 2014 Wiley Periodicals, Inc.

Overview

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Crossref · 10.1002/ajhb.22666

Cites

47 of 47 references verified0 citation errors · 0 not checkable

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Citations

Cites

Research works printed but not linked: 4

  1. Elia M, 1992, Tissue determinants and cellular corollaries, 61
  2. Guyton AC, 1986, Local control of blood flow by the tissues, and nervous and humoral regulation. Textbook of medical physiology
  3. McNeil G, 1995, Liver and kidney volume and their relationship to metabolic rate at rest, Proc Nutr Soc, 54, 151A
  4. WHO, 2004, World Health Organization. Global strategy on diet, physical activity and health. Obesity and overweight: WHA57

Cited by

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Metadata

Authors
Pourhassan, M., Eggeling, B., Schautz, B., Johannsen, M., Kiosz, D., Glüer, C., Bosy‐Westphal, A., & Müller, M. J.
Affiliations
  • Institute of Human Nutrition and Food Science Christian‐Albrechts University Kiel Germany
  • Klinik für Diagnostische Radiologie Sektion Biomedizinische Bildgebung, MOIN CC, Universitätsklinikum (University Medical Center) Schleswig Holstein (UKSH) Kiel Germany
Venue
American Journal of Human Biology
Publisher
Wiley
Published
2014-11-28
Volume
27
Issue
3
Pages
397-406
ISSN
  • 1042-0533
  • 1520-6300
DOI
10.1002/ajhb.22666
Cited by
12
References
47
Language
en
Licence
onlinelibrary.wiley.com/termsAndConditions#vor (vor)
Funders
  • Deutsche Forschungsgemeinschaft (DFG Mü 714/ 8-3)
  • Bundesministerium für Bildung und Forschung (Körperzusammensetzung; FKZ 01GI1125)

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Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.