Circunferência da cintura como marcador para triagem de doença hepática gordurosa não alcoólica em adolescentes obesos

Clemente, Ana Paula Grotti; Netto, Bárbara Dal Molin; Ferreira, Juliana; Campos, Raquel Munhoz da Silveira; Ganen, Aline de Piano; Tock, Lian; Mello, Marco Túlio de; Dâmaso, Ana Raimunda

doi:10.1016/j.rpped.2015.05.007

Cited by 19 publications

(7 citation statements)

References 28 publications

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“…Recent epidemiological surveys have shown that the incidence of NAFLD in obese patients can reach 80%, and in severely obese patients who require bariatric surgery, the incidence of NAFLD is as high as 90% [4]. Independent associations between NAFLD and traditional obesity indicators BMI and WC have been demonstrated in many observational studies, but there is much debate as to which indicator is better at identifying obesity-related NAFLD risk [7][8][9][10][35][36][37][38][39]. Several recent studies have demonstrated that BMI was a stronger indicator of obesity for identifying and predicting NAFLD risk, with BMI having the largest AUC compared with other obesity-related parameters, showing better diagnostic performance than WC and other obesity indicators [37][38][39].…”

Section: Discussionmentioning

confidence: 99%

The value of combining the simple anthropometric obesity parameters, Body Mass Index (BMI) and a Body Shape Index (ABSI), to assess the risk of non-alcoholic fatty liver disease

Kuang

Sheng

et al. 2022

Lipids Health Dis

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Background Body mass index (BMI) and A Body Shape Index (ABSI) are current independent risk factors for non-alcoholic fatty liver disease (NAFLD). The aim of this study was to explore the value of combining these two most common obesity indexes in identifying NAFLD. Methods The subjects in this study were 14,251 individuals from the NAfld in the Gifu Area, Longitudinal Analysis (NAGALA) cohort who underwent routine health examination. We integrated BMI with WC and with ABSI to construct 6 combined obesity indicators—obesity phenotypes, the combined anthropometric risk index (ARI) for BMI and ABSI, optimal proportional combination OBMI+WC and OBMI+ABSI, and multiplicative combination BMI*WC and BMI*ABSI. Several multivariable logistic regression models were established to evaluate the relationship between BMI, WC, ABSI, and the above six combined indicators and NAFLD; receiver operating characteristic (ROC) curves were drawn to compare the ability of each obesity indicator to identify NAFLD. Results A total of 2,507 (17.59%) subjects were diagnosed with NAFLD. BMI, WC, ABSI, and all other combined obesity indicators were significantly and positively associated with NAFLD in the current study, with BMI*WC having the strongest correlation with NAFLD in female subjects (OR per SD increase: 3.13) and BMI*ABSI having the strongest correlation in male subjects (OR per SD increase: 2.97). ROC analysis showed that ARI and OBMI+ABSI had the best diagnostic performance in both sexes, followed by BMI*WC (area under the curve: female 0.8912; male 0.8270). After further age stratification, it was found that ARI and multiplicative indicators (BMI*WC, BMI*ABSI) and optimal proportional combination indicators (OBMI+WC, OBMI+ABSI) significantly improved the NAFLD risk identification ability of the basic anthropometric parameters in middle-aged females and young and middle-aged males. Conclusion In the general population, BMI combined with ABSI best identified obesity-related NAFLD risk and was significantly better than BMI or WC, or ABSI. We find that ARI and the multiplicative combined indicators BMI*WC and BMI*ABSI further improved risk prediction and may be proposed for possible use in clinical practice.

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Section: Discussionmentioning

confidence: 99%

The value of combining the simple anthropometric obesity parameters, Body Mass Index (BMI) and a Body Shape Index (ABSI), to assess the risk of non-alcoholic fatty liver disease

Kuang

Sheng

et al. 2022

Lipids Health Dis

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“…De acordo com estudo realizado em sete países europeus, os resultados foram semelhantes, demonstrando que adolescentes europeus não cumprem as recomendações da AAP, (≥2h/dia), especialmente no final de semana 28 . Outra pesquisa apresentou prevalência geral de CS: 69,2% em dias de semana e 79,6% nos fins de semana 29 . O CS também tendo sido relacionado a reduções na expectativa de vida.…”

Section: Discussionunclassified

Fatores de risco associados a hiperglicemia: estudantes de 11 a 16 anos em Paranavaí-Brasil e Cáceres-Espanha

Lima

et al. 2022

Cad. saúde colet.

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Resumo Introdução Metabolismo anormal da glicose precede o desenvolvimento da diabetes mellitus tipo 2. Objetivo Análise da hiperglicemia e fatores de risco associados em estudantes de Paranavaí-Brasil e Cáceres-Espanha. Método Estudo analítico em amostra de 804 estudantes de seis escolas em cada cidade. Analisados: sexo, idade, dependência administrativa da escola, estatura, massa, perímetro da cintura, IMC, relação cintura estatura, pressão arterial, comportamento sedentário, atividade física, colesterol, HDL e LDL, triglicerídeos e glicose. Resultados A prevalência foi alta para níveis de glicose em jejum (9,1% vs. 13,1%; p-valor = 0,216, espanhóis e brasileiros, respectivamente) e da maioria dos indicadores associados (p-valor < 0,05). Observou-se resultados favoráveis para as meninas espanholas (obesidade abdominal: 2,4% vs. 31,1%; comportamento sedentário: 5,3% vs. 43,4%; colesterol: 2,4% vs. 55,3%; triglicerídeos: 15,5% vs. 29,5%). Os meninos da Espanha levaram vantagem sobre os brasileiros (obesidade abdominal: 13,6% vs. 35,2%; pouco ativos: 23,5% vs. 39,0%; comportamento sedentário: 21,5% vs. 51,0%; colesterol: 3,7% vs. 41,0%), p < 0,05. Não houve associação da glicose com nenhum fator de risco. Conclusão Atenção deve ser dada aos jovens para evitar uma exposição precoce e prolongada a fatores de risco modificáveis que alteram os níveis de glicose.

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“…Previous studies have shown that increase in WC can reliably predict the risk of NAFLD in obese adolescents. [26]…”

Section: Discussionmentioning

confidence: 99%

Evaluation of proinflammatory cytokines in obese vs non-obese patients with metabolic syndrome

Ashraf

Laway

Afroze

et al. 2018

Indian J Endocr Metab

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Background:Obesity is one of the most common yet neglected public health problems in both the developed and developing countries. Metabolic syndrome (MS) is a multiplex of risk factor for the development of type 2 diabetes (T2D) and cardiovascular disease (CVD) and it reflects the clustering of multiple risk factors resulting from obesity and insulin resistance. Despite its predominance in obese individuals, MS does occur in non-obese individuals. Many individuals characterised as normal weight as per their body mass index (BMI), have increased visceral adiposity thereby leading to an unfavourable inflammatory cytokine profile. There are limited studies from India with respect to inflammatory cytokines in obesity and MS in general and non-obese patients with MS in particular.Materials and Methods:An observational cross-sectional study was carried out in patients with MS with or without obesity. Anthropometric parameters such as height, weight and waist girth were measured and BMI was calculated. Serum levels of TNF-α, IL-6 and adiponectin were measured by using the enzyme-linked immunosorbent assay.Results:A significant proportion of individuals categorised as normal weight had an increased waist circumference which correlated with BMI, acanthosis nigricans (AN) and fatty liver. There was no statistically significant difference in the cytokine levels in obese and non-obese patients with MS; similarly among non-obese patients with MS, cytokine levels were comparable in patients with or without abdominal obesity. However, triglycerides inversely correlated with adiponectin levels and there was no significant correlation between the cytokines and other parameters of MS.Conclusion:There was no significant difference in various metabolic and inflammatory parameters between obese and non-obese patients with MS. Even in non-obese group, there were no differences in metabolic and inflammatory markers between individuals with or without abdominal obesity. This finding indicates that apart from adipose tissue, other factors are also responsible for the development of MS and its associated proinflammatory profile. There could be a significant contribution of genetic and epigenetic factors which needs to be further explored.

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Circunferência da cintura como marcador para triagem de doença hepática gordurosa não alcoólica em adolescentes obesos

Abstract: The results presented here suggest that an increase in WC can reliably predict the risk of NAFLD in obese adolescents. This is a low cost and easy-to-use tool that can help in screening in adolescents.

Cited by 19 publications

References 28 publications

The value of combining the simple anthropometric obesity parameters, Body Mass Index (BMI) and a Body Shape Index (ABSI), to assess the risk of non-alcoholic fatty liver disease

The value of combining the simple anthropometric obesity parameters, Body Mass Index (BMI) and a Body Shape Index (ABSI), to assess the risk of non-alcoholic fatty liver disease

Fatores de risco associados a hiperglicemia: estudantes de 11 a 16 anos em Paranavaí-Brasil e Cáceres-Espanha

Evaluation of proinflammatory cytokines in obese vs non-obese patients with metabolic syndrome

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