Raquel David Langer

Dr. Raquel David Langer

University of Campinas, São Paulo, Brazil
orcid

Research Focus & Metrics

Academic Career Length

12Years (2015-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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2 August 2023 in European Journal of Clinical Nutrition
Verified
Journal Article
Closed access
PDF file
ASAnaliza M. Silva
Analiza M. Silva
Francesco CampaFrancesco Campa
Francesco Campa
SSSilvia Stagi
Silvia Stagi
LGLuís A. Gobbo
Luís A. Gobbo
RBRoberto Buffa
Roberto Buffa
Elisabetta MariniElisabetta Marini
Elisabetta Marini

17 February 2016 in Nutrition in Clinical Practice
Verified
Journal Article
Closed access
JBJuliano H. Borges
Juliano H. Borges
Raquel David LangerRaquel David Langer
Raquel David Langer
VCVagner X. Cirolini
Vagner X. Cirolini
MPMauro Pascoa
Mauro Pascoa
Gil Guerra-JuniorGil Guerra-Junior
Gil Guerra-Junior
EGEzequiel Gonçalves
Ezequiel Gonçalves

1 March 2020 in Physiology & Behavior
Verified
Journal Article
Closed access
Raquel David LangerRaquel David Langer
Raquel David Langer
KCKell Grandjean da Costa
Kell Grandjean da Costa
HBHenrique Bortolotti
Henrique Bortolotti
GFGleydciane Alexandre Fernandes
Gleydciane Alexandre Fernandes
RJRaille Silva de Jesus
Raille Silva de Jesus
EGEzequiel Moreira Gonçalves
Ezequiel Moreira Gonçalves


11 March 2016 in Nutrients
Verified
Journal Article
Open access
PDF file
Raquel David LangerRaquel David Langer
Raquel David Langer
JBJuliano H. Borges
Juliano H. Borges
MPMauro Pascoa
Mauro Pascoa
VCVagner X. Cirolini
Vagner X. Cirolini
Gil Guerra-JuniorGil Guerra-Junior
Gil Guerra-Junior
EGEzequiel Gonçalves
Ezequiel Gonçalves
Background: Bioelectrical Impedance Analysis (BIA) is a fast, practical, non-invasive, and frequently used method for fat-free mass (FFM) estimation. The aims of this study were to validate predictive equations of BIA to FFM estimation in Army cadets and to develop and validate a specific BIA equation for this population. Methods: A total of 396 males, Brazilian Army cadets, aged 17–24 years were included. The study used eight published predictive BIA equations, a specific equation in FFM estimation, and dual-energy X-ray absorptiometry (DXA) as a reference method. Student’s t-test (for paired sample), linear regression analysis, and Bland–Altman method were used to test the validity of the BIA equations. Results: Predictive BIA equations showed significant differences in FFM compared to DXA (p < 0.05) and large limits of agreement by Bland–Altman. Predictive BIA equations explained 68% to 88% of FFM variance. Specific BIA equations showed no significant differences in FFM, compared to DXA values. Conclusion: Published BIA predictive equations showed poor accuracy in this sample. The specific BIA equations, developed in this study, demonstrated validity for this sample, although should be used with caution in samples with a large range of FFM.

30 April 2020 in International Journal of Sports Medicine
Verified
Journal Article
Closed access
PDF file
Raquel David LangerRaquel David Langer
Raquel David Langer
RGRoseane de Fatima Guimarães
Roseane de Fatima Guimarães
EGEzequiel Moreira Gonçalves
Ezequiel Moreira Gonçalves
GGGil Guerra-Junior
Gil Guerra-Junior
AMAnderson Marques de Moraes
Anderson Marques de Moraes
The phase angle is used to evaluate nutritional status and is an indicator of cellular health. Cardiorespiratory fitness and body composition are strong indicators of health during adolescence. We aimed to evaluate if body composition and cardiorespiratory fitness have an association with phase angle among adolescents. 203 girls and 220 boys (12.8±1.3 years) were evaluated. Peak height velocity, percentage fat mass, fat-free mass, cardiorespiratory fitness, and phase angle measurements were collected. Linear regression adjusted by peak height velocity was used to verify if predictor variables were associated with phase angle among adolescents. Phase angle showed correlation with fat-free mass (girls: r=0.42 and boys: r=0.37); with percent fat mass (girls: r=0.23); and with cardiorespiratory fitness (boys: r=0.19). Linear regression showed that percentage fat mass (in girls) and cardiorespiratory fitness (in boys) had an effect of 11 and 17% in phase angle, respectively, while fat-free mass had an effect of 22 and 26% in phase angle for girls and boys, respectively. Changes in phase angle seem to be more associated with the percentage fat mass in girls, cardiorespiratory fitness in boys, and fat-free mass in both when controlled by peak height velocity.