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Comparisons between Bioelectrical Impedance Variables, Functional Tests and Blood Markers Based on BMI in Older Women and Their Association with Phase Angle

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  • Rafael Oliveira

    (Sports Science School of Rio Maior—Polytechnic Institute of Santarém, 2040-413 Rio Maior, Portugal
    Life Quality Research Centre, 2040-413 Rio Maior, Portugal
    Research Centre in Sport Sciences, Health Sciences and Human Development, Quinta de Prados, Edifício Ciências de Desporto, 5001-801 Vila Real, Portugal)

  • César Leão

    (Escola Superior Desporto e Lazer, Instituto Politécnico de Viana do Castelo, Rua Escola Industrial e Comercial de Nun’Álvares, 4900-347 Viana do Castelo, Portugal
    Research Center in Sports Performance, Recreation, Innovation and Technology (SPRINT), 4960-320 Melgaço, Portugal)

  • Ana Filipa Silva

    (Research Centre in Sport Sciences, Health Sciences and Human Development, Quinta de Prados, Edifício Ciências de Desporto, 5001-801 Vila Real, Portugal
    Escola Superior Desporto e Lazer, Instituto Politécnico de Viana do Castelo, Rua Escola Industrial e Comercial de Nun’Álvares, 4900-347 Viana do Castelo, Portugal
    Research Center in Sports Performance, Recreation, Innovation and Technology (SPRINT), 4960-320 Melgaço, Portugal)

  • Filipe Manuel Clemente

    (Escola Superior Desporto e Lazer, Instituto Politécnico de Viana do Castelo, Rua Escola Industrial e Comercial de Nun’Álvares, 4900-347 Viana do Castelo, Portugal
    Research Center in Sports Performance, Recreation, Innovation and Technology (SPRINT), 4960-320 Melgaço, Portugal
    Instituto de Telecomunicações, Delegação da Covilhã, 1049-001 Lisboa, Portugal)

  • Carlos Tadeu Santamarinha

    (Empresa Municipal “Esposende2000”, Município Esposende, 4740-204 Esposende, Portugal)

  • Hadi Nobari

    (Department of Motor Performance, Faculty of Physical Education and Mountain Sports, Transilvania University of Braşov, 500068 Braşov, Romania
    Department of Exercise Physiology, Faculty of Educational Sciences and Psychology, University of Mohaghegh Ardabili, Ardabil 56199-11367, Iran
    Faculty of Sport Sciences, University of Extremadura, 10003 Cáceres, Spain)

  • João Paulo Brito

    (Sports Science School of Rio Maior—Polytechnic Institute of Santarém, 2040-413 Rio Maior, Portugal
    Life Quality Research Centre, 2040-413 Rio Maior, Portugal
    Research Centre in Sport Sciences, Health Sciences and Human Development, Quinta de Prados, Edifício Ciências de Desporto, 5001-801 Vila Real, Portugal)

Abstract

The aim of the present study was to compare electrical bioimpedance variables, blood markers and functional tests based on Body Mass Index (BMI) in older women. Associations between Phase Angle (PhA) with functional tests and blood markers were also analyzed. A total of 46 independent elderly people participated in the study, and they were divided into four groups according to BMI values: Group 1 (G1, BMI < 25 kg/m 2 ); Group 2 (G2, BMI > 25–30 kg/m 2 ); Group 3 (G3, BMI > 30–35 kg/m 2 ); Group 4 (G4, BMI > 35 kg/m 2 ). In addition to the weight and height used to calculate the BMI, the following body composition variables were collected: fat mass (FM), fat-free mass, intracellular water (ICW), extracellular water (ECW), total body water (TBW) and PhA (50 kHz) through InBody S10 equipment. Functional capacity was assessed using the Fullerton battery of tests: arm-curl; chair-stand; 6 min walking test (6MWT); time up-and-go test (TUG); standing on one leg (SOOL) and take 10 foot-lines (10FL). The main results showed differences between groups in the tests: 6MWT, SOOL and 10FL between G1 vs. G3 and G2 vs. G3 ( p < 0.05); ACT, AIC and AEC between G1 vs. G4 ( p < 0.05); FM among all groups ( p < 0.05). Negative correlations were found between PhA and the agility test in G1 (r = −0.848; p = 0.008) and G4 (r = −0.909; p = 0.005); PhA and chair-stand in G3 (r = 0.527; p = 0.044); PhA and forearm flexion in G3 (r = 0.641; p = 0.010) and G4 (r = 0.943; p = 0.001); PhA and 6MWT in G4 (r = 0.771; p = 0.042). This study found that there is a clear trend towards better functional capacities with better parameters of body composition. Although there were no differences between groups in PhA, associations were found between different functional tests with PhA, which reveals the importance of this variable as a marker of health status.

Suggested Citation

  • Rafael Oliveira & César Leão & Ana Filipa Silva & Filipe Manuel Clemente & Carlos Tadeu Santamarinha & Hadi Nobari & João Paulo Brito, 2022. "Comparisons between Bioelectrical Impedance Variables, Functional Tests and Blood Markers Based on BMI in Older Women and Their Association with Phase Angle," IJERPH, MDPI, vol. 19(11), pages 1-14, June.
  • Handle: RePEc:gam:jijerp:v:19:y:2022:i:11:p:6851-:d:831158
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    Cited by:

    1. Ana Morais & Soraia Ferreira & Alexandre Duarte Martins & Pablo Tomas-Carus & José Marmeleira & Jose A. Parraca, 2022. "Phase Angle as a Predictor for Physical Function in Institutionalized Independent Older Adults," IJERPH, MDPI, vol. 19(21), pages 1-9, November.

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