• Medientyp: E-Book; Hochschulschrift
  • Titel: Anthropometrische Maße und Parameter der Körperzusammensetzung im Zusammenhang mit körperlicher Leistungsfähigkeit in der Bevölkerung : Study of Health in Pomerania (SHIP)
  • Beteiligte: Köhler, Armin [VerfasserIn]; Dörr, Marcus [AkademischeR BetreuerIn]; Sperling, Wolfram [AkademischeR BetreuerIn]
  • Körperschaft: Universität Greifswald
  • Erschienen: Greifswald, 2018
  • Umfang: 1 Online-Ressource (PDF-Datei: 48 Seiten, 3467 Kilobyte); Illustrationen (farbig), Diagramme (farbig)
  • Sprache: Deutsch; Englisch
  • Identifikator:
  • Schlagwörter: Anthropometrie > Körpergewicht > Körperliche Leistungsfähigkeit > Leistungsphysiologie > Aerobe Kapazität > Kardiopulmonale Leistungsfähigkeit > Epidemiologie
  • Entstehung:
  • Hochschulschrift: Dissertation, Universitätsmedizin der Universität Greifswald, 2019
  • Anmerkungen: Literaturverzeichnis: Seite 28-33
    Text deutsch, Anhang englisch
  • Beschreibung: Aerobe Leistungsfähigkeit, Anthropometrie, Epidemiologie, Fettfreie Masse, Kardiopulmonale Fitness, Kardiorespiratorische Fitness, Körperzellmasse, Körperzusammensetzung, Leistungsphysiologie, Maximale Sauerstoffaufnahme, anthropometrics, body cell mass, body composition, cardiopulmonary fitness, cardiorespiratory exercise capacity, epidemiology, exercise physiology, fat-free mass, peak oxygen uptake, population-based study

    Peak oxygen uptake (VO2peak) is commonly indexed by total body weight (TBW) to determine cardiopulmonary fitness (CPF). This approach may lead to misinterpretation, particularly in obese subjects. We investigated the normalization of VO2peak by different body composition markers. We analyzed combined data of 3848 subjects (1914 women; 49.7%), aged 20-90, from two independent cohorts of the population-based Study of Health in Pomerania (SHIP-2 and SHIP-TREND). VO2peak was assessed by cardiopulmonary exercise testing. Body cell mass (BCM), fat-free mass (FFM), and fat mass (FM) were determined by bioelectrical impedance analysis. The suitability of the different markers as a normalization variable was evaluated by taking into account correlation coefficients (r) and intercept (α-coefficient) values from linear regression models. A combination of high r and low α values was considered as preferable for normalization purposes. BCM was the best normalization variable for VO2peak (r = .72; P ≤ .001; α-coefficient = 63.3 mL/min; 95% confidence interval [CI]: 3.48-123) followed by FFM (r = .63; P ≤ .001; α-coefficient = 19.6 mL/min; 95% CI: −57.9-97.0). On the other hand, a much weaker correlation and a markedly higher intercept were found for TBW (r = .42; P ≤ .001; α-coefficient = 579 mL/min; 95% CI: 483 to 675). Likewise, FM was also identified as a poor normalization variable (r = .10; P ≤ .001; α-coefficient = 2133; 95% CI: 2074-2191). Sex-stratified analyses confirmed the above ...
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