2015
DOI: 10.1590/1980-5497201500020015
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Correspondence between overweight and socioeconomic and demographic indicators in the adult Brazilian population

Abstract: ABSTRACT:Objective: To verify the correlation between overweight and socioeconomic and demographic indicators among Brazilian adults, using data from the Brazilian Household Budget Survey from 2008/2009. Methods: We analyzed the joint relationships between overweight and socioeconomic and demographic indicators in the Brazilian adult population (99,532,672 individuals), through the multiple correspondence analysis technique. Results: The featured profile of the Brazilian adult population with regard to overwei… Show more

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Cited by 5 publications
(5 citation statements)
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References 25 publications
(26 reference statements)
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“…The data presented also show that age had a significant direct effect on body fat, corroborating the findings of other studies with the Brazilian population 15,27,28,40,41 . This may be explained by the fact that the aging leads to changes in physiological processes associated with body fat accumulation, such as slowing metabolism and hormonal changes, which can contribute to increased body adiposity levels 42 .…”
Section: Discussionsupporting
confidence: 91%
“…The data presented also show that age had a significant direct effect on body fat, corroborating the findings of other studies with the Brazilian population 15,27,28,40,41 . This may be explained by the fact that the aging leads to changes in physiological processes associated with body fat accumulation, such as slowing metabolism and hormonal changes, which can contribute to increased body adiposity levels 42 .…”
Section: Discussionsupporting
confidence: 91%
“…Discrimination measures (DM) refer to the most relevant variables for the construction of each axis / dimension and the coordinates of centroids (CC) help the reader locate each category in the perceptual map [17][18][19] . The analysis also calculates the inertia and the eigenvalue for each dimension, reflecting how much of the total variance of data is being explained 16 .…”
Section: Discussionmentioning
confidence: 99%
“…Only recently, this type of analysis has been used in health care studies and has proven to be a very useful tool for the analysis of categorical data and to identify groups that share the same risk factors 18,19,[22][23][24][25] . In the present study, the formation of three clusters with distinct victimization profiles was observed.…”
Section: Discussionmentioning
confidence: 99%
“…A obesidade é uma doença com prevalência cada vez mais aumentada nos últimos anos, que em 2016 atingiu 124 e 671 milhões de crianças e adolescentes e de adultos, respectivamente [1][2][3][4] . Caracterizada pelo acúmulo excessivo de gordura corporal em um nível que compromete a saúde dos indivíduos, ocasiona alterações metabólicas, dificuldades respiratórias e do aparelho locomotor.…”
Section: Introductionunclassified