2020
DOI: 10.1590/1413-81232020258.20992018
|View full text |Cite
|
Sign up to set email alerts
|

Obesidade abdominal no ELSA-Brasil: construção de padrão-ouro latente e avaliação da acurácia de indicadores diagnósticos

Abstract: Resumo Este estudo avaliou a acurácia de indicadores de obesidade abdominal (OA), definindo uma variável latente como padrão-ouro. Foram estudados 12.232 participantes do ELSA-Brasil de 35 a 74 anos. Avaliou-se três indicadores de OA, estratificados por sexo e raça/cor: circunferência da cintura (CC), razão cintura quadril (RCQ) e índice de conicidade (Índice C). Todos os grupos mostraram elevadas prevalências de OA, maiores entre os homens brancos (~70%) e mulheres pretas (~60%). Observou-se alta acurácia da … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

0
6
0
3

Year Published

2021
2021
2023
2023

Publication Types

Select...
7
1

Relationship

3
5

Authors

Journals

citations
Cited by 29 publications
(14 citation statements)
references
References 21 publications
0
6
0
3
Order By: Relevance
“…Evidence shows differences in the progression of CIMT and adiposity due to the ethnicity/ skin color. 37 The cut-off points used in this study incorporated the differences between gender and ethnicity/skin color 20 and, perhaps because of that, no effect modification was detected.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…Evidence shows differences in the progression of CIMT and adiposity due to the ethnicity/ skin color. 37 The cut-off points used in this study incorporated the differences between gender and ethnicity/skin color 20 and, perhaps because of that, no effect modification was detected.…”
Section: Discussionmentioning
confidence: 99%
“…The indicators were categorized in the presence and absence of abdominal adiposity, according to the cut-off points defined by Eickemberg et al., 20 Respectively, the following values were used for white, brown and black individuals: WC: men 89.9 cm; 90.2 cm and 91.7 cm; women 80.4 cm; 82.7 cm and 85.4 cm; WHR: men 0.92; 0.92 and 0.90; women 0.82; 0.83 and 0.84; C index: men 1.24; 1.24 and 1.24; women 1,20; 1.22 and 1.19; LAP: men 29.81; 32.39 and 33.08; women 22,64; 30.27 and 27.12; VAI: men 1.74; 2.08 and 1.68; women 1.44; 2.16 and 1.65. We chose to use the term "adiposity" instead of obesity for the five indicators, considering that LAP and VAI reflect the function of visceral fat, and not only the accumulation of abdominal fat, such as WC, WHR and C index.…”
Section: Methodsmentioning
confidence: 99%
“…O padrão de distribuição de gordura corporal diverge entre as raças conforme os fatores correlacionados ao perfil socioeconômico, biológico e cultural (Eickemberg et al 2020). Na amostra da pesquisa, não ser da raça branca apresentou significância estatística, sendo composta em sua maior parte pela raça parda, contrapondo-se parcialmente a literatura, que demonstra a prevalência de obesidade abdominal superior em homens brancos (69,9%) e mulheres pardas (63,3%), justificado pela menor concentração de gordura visceral nos descendentes de negros, quando comparados à raça branca (Eickemberg et al 2020). Entretanto, homens e mulheres de descendência negra possuem pré-disposição para um maior acúmulo de tecido adiposo quando comparados aos brancos (Katzmarzyk et al 2010), corroborando o resultado dessa pesquisa.…”
Section: Discussionunclassified
“…In a review article, Cabieses et al 25 discussed the indicators most commonly used in the construction of sensitive approximations for the definition of social position, emphasizing the relevance of the development of multidimensional measures of social position. Because of the limitations of body mass index (BMI), as an imprecise method of measuring body adiposity 26 , the most used index to classify anthropometric status, alternative methods and indicators has been proposed to measure body adiposity and anthropometric status with more accuracy for the use in screening for cardiometabolic risk 26,27,28 . Therefore, we tried to apply the construct definition as part of analytical strategy to describe the anthropometric status.…”
Section: Introductionmentioning
confidence: 99%