Banca de DEFESA: KALINA VERUSKA DA SILVA BEZERRA MASSET

Uma banca de DEFESA de DOUTORADO foi cadastrada pelo programa.
STUDENT : KALINA VERUSKA DA SILVA BEZERRA MASSET
DATE: 12/03/2024
TIME: 14:00
LOCAL: Link de acesso para videoconferência: https://meet.google.com/ctg-tkih-sxy
TITLE:
DEVELOPMENT AND CROSS-VALIDATION OF PREDICTIVE EQUATIONS FOR
FAT-FREE MASS IN SUBJECTS WITH OVERWEIGHT AND OBESITY, BY
BIOELECTRICAL IMPEDANCE ANALYSIS

KEY WORDS:
Cardiometabolic Risk Factors; Biomakers; Electric Impedance; Anthropometry, Obesity.

PAGES: 97
BIG AREA: Ciências da Saúde
AREA: Farmácia
SUMMARY:
People who are overweight or obese have more risk factors for developing
cardiometabolic diseases. However, these factors present different degrees of
cardiovascular risk depending on the metabolic profile. Considering the
limitations and scarcity of specific assessment instruments and criteria in this
context, the objectives of the present study are: 1) to develop and cross-validate
two equations to estimate Fat Free Mass by bioimpedance analysis: one for the
group of people with overweight or obesity (GSO) and another, for the group of
people with obesity only (GO). 2) determine cut-off points for indices with
anthropometric and biochemical parameters (IPAB) for screening
cardiometabolic risk factors (CMR) for the same population; 2) For objective 1,
305 people (134 women) were divided into two groups: development (n=206) and
cross-validation (n=99); and for objective 2, the sample consisted of 330 subjects
(192 women). For the study, DXA was used as a standard body composition
technique, the tetrapolar monofrequency Bioelectrical Impedance Analysis (BIA)
as equipment for using the equations, and the Visceral Adiposity Index (VAI), the
Cardiometabolic Index (ICM) and the Triglycerides-Glucose Index (ITG) as
indices with anthropometric and biochemical parameters. To develop and
validate the equations, the Paired t-test, multiple regression and Bland-Altman
plot were used. To determine cutoff points, the ROC curve was plotted based on
sensitivity and specificity, in addition to identifying the area under the AUC curve.
Diagnostic agreement was calculated using Kappa analysis. The equation for
GSO presented a correlation coefficient of agreement (CCC)=0.971; r2=0.94;
standard error of estimate (SPE)=2.69kg; limits of agreement (LOA)=-4.4 to 4.3;
and 2) and the equation for GO presented CCC=0.965; r2=0.93; EPE=2.27kg;
LOA=-5.5 to 4.7. Women had the following cutoff points: IAV>4.11 (AUC=0.894),
ITG>3.64 (AUC=0.858) and ICM>1.02 (AUC=0.912) and men: IAV>2.75 (AUC =
0.918), ITG>3.8 (AUC=0.888) and ICM>1.66 (AUC=0.923). When comparing the
new models and the standard technique, there was no difference in the FFM
value (p>0.05). The two derived equations are valid options for estimating the
FFM of people with the characteristics of the studied sample, just as all IPAB
showed good results for screening RCM factors.

COMMITTEE MEMBERS:
Externo à Instituição - FREDERICO SANTOS DE SANTANA - UnB
Externo ao Programa - 2627140 - BRENO GUILHERME DE ARAUJO TINOCO CABRAL - nullPresidente - 1055045 - MARCELA ABBOTT GALVAO URURAHY
Externo ao Programa - 3189656 - MARCOS FELIPE SILVA DE LIMA - nullExterno à Instituição - VALDINAR DE ARAÚJO ROCHA JÚNIOR - DPF
Notícia cadastrada em: 26/02/2024 18:21
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