Prevalência de sobrepeso e obesidade e indicadores de adiposidade central em escolares de Santa Catarina, Brasil

Ricardo, Gabriela Dalsasso; Caldeira, Gilberto Veras; Corso, Arlete Catarina Tittoni

doi:10.1590/s1415-790x2009000300011

Cited by 27 publications

(25 citation statements)

References 29 publications

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“…Considering this finding, it is important to emphasize that 42.9% of the adolescents evaluated in the present study showed the prevalence of two or more factors. Therefore, even though previous studies (23)(24)(25)(26) have evidenced that the prevalence of overweight and obesity, which may seem to the trigger for several cardiovascular and metabolic changes, is greater in private schools and in better socioeconomic conditions, data of the present study show that low-income female adolescents also have an important cardiometabolic risk profile.…”

Section: Discussioncontrasting

confidence: 88%

Clustering of risk factors for cardiometabolic diseases in low-income, female adolescents

Melo

Azevedo

Silva

et al. 2016

Arch. Endocrinol. Metab.

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Objective: To assess the prevalence and clustering patterns of cardiometabolic risk factors among low-income, female adolescents. Materials and methods: Cross-sectional study involving 196 students of public schools (11-19 years old). The following risk factors were considered in the analysis: excess weight, central obesity, dyslipidemia, high blood pressure, and high fasting glucose. The ratio between observed and expected prevalence and its confidence interval were used to identify clustering of risk factors that exceeded expected prevalence in the population. Results: The most prevalent risk factors were dyslipidemia (70.9%), and central obesity (39.8%), followed by excess weight (29.6%), and high blood pressure (12.8%). A total of 42.9% of adolescents had two or more risk factors, and 24% had three or more. Excess weight, central obesity, and dyslipidemia were common risk factors in the clustering patterns that showed higher-than-expected prevalence. Conclusions: Clustering of risk factors (≥ two factors) among the adolescents showed considerable prevalence, and there was a non-casual coexistence of excess weight, central obesity, and dyslipidemia (mainly low HDL-cholesterol). Arch Endocrinol Metab. 2016;60(3):205-10

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Section: Discussioncontrasting

confidence: 88%

Clustering of risk factors for cardiometabolic diseases in low-income, female adolescents

Melo

Azevedo

Silva

et al. 2016

Arch. Endocrinol. Metab.

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“…The methodological procedures for sample size determination and sample selection have been described elsewhere 15,16 . In summary, sampling was done in two stages: school and schoolchild.…”

Section: Introductionmentioning

confidence: 99%

Prevalence and factors associated with central obesity in schoolchildren in Santa Catarina, Brazil

Feltrin¹,

Vasconcelos²,

Costa³

et al. 2015

Rev. Nutr.

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A B S T R A C T ObjectiveThe aims of this article are to estimate the prevalence and to identify the sociodemographic factors and food consumption associated with central obesity in schoolchildren 6-10 years old of the State of Santa Catarina, Brazil. MethodsIt consists in a cross-sectional population-based study involving 4,963 schoolchildren enrolled in the public and private sectors. The dependent variable is central obesity investigated by measuring waist circumference and classified according to percentiles/gender/age. Bivariate and multivariate analyzes were also performed. ResultsThe prevalence of central obesity was 4,9% (CI95%=4,3;5,5), being more prevalent in boys with statistical significance (p=0,003). The other variables investigated (age the schoolchildren, type of school, maternal education, protective and risk food consumption, number of daily meals) were not associated with outcome. Among the schoolchildren who had central obesity (n=243), 99.3% of the boys and 99.0% of the girls also showed overweight/obesity. ConclusionThe prevalence of central obesity was lower than that reported in national and international studies. In this scenario, the gender (male) variable was strongly associated with the outcome. The identified prevalence is a major concern in nutrition and medical science as the central obesity may remain in adulthood and show

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“…A maior foi entre IMC e CC que se manteve quando ajustada por sexo. Outros estudos (16)(17)(18) também encontraram forte correlação entre os índices, chegando a uma correlação positiva entre si de rho> 0,75, próximo aos nossos achados.…”

Section: Resultsunclassified

<b>Análise da correlação de três medidas antropométricas de peso corporal em escolares/Analysis of the correlation between three anthropometric measures of body weight in schoolchildren<b>

et al. 2017

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Estudos vêm questionando o Índice de Massa Corporal (IMC) como critério único para definição de sobrepeso e obesidade. Nosso objetivo foi verificar a correlação entre as três medidas antropométricas mais utilizadas para detecção de excesso de peso e obesidade: índice de massa corporal (IMC), circunferência de cintura (CC) e excesso de gordura corporal (%GC) através das dobras cutâneas tricipital e subescapular. Trata-se de um estudo transversal com 460 escolares voluntários de 7 a 12 anos de uma escola particular e outra pública de Canoas – Rio Grande do Sul, Brasil. A frequência de obesos, pelo percentil do IMC, foi de 51,4%; de CC foi de 25,21% e de %GC foi de 36,30% sem diferenças percentuais entre as duas escolas. A correlação entre as três medidas, com teste de Spearman, foi de r > 0,80. A forte correlação encontrada sugere que o IMC, por si só, é bom indicador para detecção de obesidade em escolares.

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Prevalência de sobrepeso e obesidade e indicadores de adiposidade central em escolares de Santa Catarina, Brasil

Cited by 27 publications

References 29 publications

Clustering of risk factors for cardiometabolic diseases in low-income, female adolescents

Clustering of risk factors for cardiometabolic diseases in low-income, female adolescents

Prevalence and factors associated with central obesity in schoolchildren in Santa Catarina, Brazil

<b>Análise da correlação de três medidas antropométricas de peso corporal em escolares/Analysis of the correlation between three anthropometric measures of body weight in schoolchildren<b>

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