Índice de conicidade: um indicador antropométrico de obesidade abdominal

The Brazil, as well as the world, is in a transition process, with changes in the nutritional, epidemiological and lifestyle profiles. At the same time, a progressive increase in life expectancy and the growth of chronic non-communicable diseases (NCDs) have been observed in recent decades. Among them are cardiovascular diseases whose main risk factor is obesity. In this scenario, anthropometric indicators are essential for the early identification of obesity, especially obesity accumulated in the abdominal region. The conicity index is one of the recommended tools for identifying the distribution of body fat, as it is associated with cardiovascular and metabolic complications in the population, especially in individuals with NCDs. Therefore, the use of the anthropometric indicator as a screening tool both in primary care and in epidemiological studies is recommended for the early identification of abdominal obesity.O Brasil, bem como o mundo, está em processo de transição, com alterações no perfil nutricional, epidemiológico e de estilo de vida. Paralelamente, observa-se nas últimas décadas o aumento progressivo da expectativa de vida e crescimento das doenças crônicas não transmissíveis (DCNT). Entre elas, estão as doenças cardiovasculares que possuem como principal fator de risco a obesidade. Nesse cenário, os indicadores antropométricos são essenciais para a identificação precoce da obesidade, principalmente daquela acumulada na região abdominal. O índice de conicidade é uma das ferramentas recomendadas para a identificação da distribuição da gordura corporal, pois está associado as complicações cardiovasculares e metabólicas da população, principalmente dos indivíduos com DCNT. Portanto, a utilização do indicador antropométrico como ferramenta de rastreio tanto na atenção primária quanto nos estudos epidemiológicos é aconselhada para a identificação precoce da obesidade abdominal

Cut points of the conicity index and associated factors in Brazilian rural workers

Background: Metabolic syndrome is associated with cardiovascular complications. Therefore, this study aims to establish cut points for the conicity index based on the components of metabolic syndrome and to associate it with characteristic sociodemographic, food consumption, and occupational factors in Brazilian rural workers; (2) Methods: A cross-sectional study carried out with farmers. The receiver operating characteristic curve was calculated and the cut-off points for the conicity index were identified by the area under the curve, sensitivity, and specificity. The variables included in the binary logistic regression analysis were selected by considering p < 0.20 in the bivariate test; (3) Results: The cut points were similar in females according to both criteria, resulting in a single cut-off of 1.269. In males, the cut points showed differences, resulting in 1.272 according to the NCEP-ATP III and 1.252 according to the IDF. We have shown that younger people, those who work more than 40 h a week, and the lowest contribution of culinary ingredients are associated with increased odds of abdominal obesity, while the consumption of the products they sell or produce decreases these chances; (4) Conclusions: The conicity index showed high discriminatory power for the identification of abdominal obesity in rural workers. Therefore, there is a need to improve eating habits and promote healthier eating environments for individuals, respecting traditional food culture, mainly to contain the advance of MS in rural areas.This study was developed with FAPES’ resources—Brazilian public agency for the pro- motion of scientific research.info:eu-repo/semantics/publishedVersio

Consumption of minimally processed and ultra-processed foods by individuals on hemodialysis in southeastern Brazil

Introduction: The individuals with chronic kidney disease show low adherence to a diet rich in vegetables. Objective: To evaluate the association of minimally processed and ultra-processed food consumption with socioeconomic factors, lifestyle habits, and clinical characteristics of hemodialysis service users in southeastern Brazilian. Methods: Cross-sectional study with 1,024 individuals on hemodialysis from southeastern Brazil. The individuals answered a questionnaire of sociodemographic data, lifestyle habits, and food consumption. After stipulating the frequency of consumption, we classified the foods as minimally processed and ultra-processed. We investigated the association between independent variables and the consumption of minimally processed and ultra-processed foods through the binary logistic regression model with Odds Ratio (OR) and their confidence intervals (95%CI). Results: Users with less than eight years of education (OR=1.706; 95%CI1.125–2.589) and with income less than two minimum wages (OR=1.349; 95%CI1.007–1.806) had lower consumption of minimally processed foods. However, individuals aged 19 to 29 years (OR=2,857, 95%CI1.464–5.576), smokers (OR=2.349; 95%CI1.237–4.462), drinkers (OR=1.835; 95%CI1.122–3.001), and with more than 6 years on hemodialysis (OR=1.975; 95%CI1.227–3.180) were more likely to have higher consumption of ultra-processed foods. Individuals that did not practice physical activity were less likely to this consumption (OR=0.638; 95%CI0.459–0.888). Conclusion: Being younger, smoking, consuming alcohol, and having been on hemodialysis for more than 6 years increased the chances of greater consumption of ultra-processed foods. In addition, we associated less education and lower income with a lower consumption of minimally processed foods. &nbsp;Introdução: Os indivíduos com doença renal crônica apresentam baixa adesão à dieta rica em vegetais. Objetivo: Avaliar a associação do consumo de alimentos minimamente processados ​​e ultraprocessados ​​com fatores socioeconômicos, hábitos de vida e características clínicas de usuários de serviços de hemodiálise no sudeste brasileiro. Métodos: Estudo transversal com 1.024 indivíduos em hemodiálise da região sudeste do Brasil. Os indivíduos responderam a um questionário de dados sociodemográficos, hábitos de vida e consumo alimentar. Após estipular a frequência de consumo, classificamos os alimentos em minimamente processados ​​e ultraprocessados. Investigamos a associação entre as variáveis ​​independentes e o consumo de alimentos minimamente processados ​​e ultraprocessados ​​por meio do modelo de regressão logística binária com Odds Ratio (OR) e seus intervalos de confiança (IC 95%). Resultados: Usuários com escolaridade inferior a oito anos (OR=1,706; IC95%1,125–2,589) e com renda inferior a dois salários mínimos (OR=1,349; IC95%1,007–1,806) apresentaram menor consumo de alimentos minimamente processados. No entanto, indivíduos de 19 a 29 anos (OR=2.857, IC95%1,464–5,576), tabagistas (OR=2,349; IC95%1,237–4,462), etilistas (OR=1,835; IC95%1,122–3,001), e com mais de 6 anos em hemodiálise (OR=1,975; IC 95%1,227–3,180) apresentaram maior probabilidade de ter maior consumo de alimentos ultraprocessados. Indivíduos que não praticavam atividade física foram menos propensos a esse consumo (OR=0,638; IC95%0,459–0,888). Conclusão: Ser mais jovem, fumar, consumir álcool e estar em hemodiálise há mais de 6 anos aumentaram as chances de maior consumo de alimentos ultraprocessados. Além disso, associamos menor escolaridade e menor renda ao menor consumo de alimentos minimamente processados

Conicity index as an indicator of abdominal obesity in individuals with chronic kidney disease on hemodialysis.

BackgroundThe conicity index is indicated as a tool for assessing the nutritional status of renal individuals undergoing hemodialysis. Thus, this study aimed to estimate the prevalence of abdominal obesity using the conicity index in individuals with chronic kidney disease undergoing hemodialysis to verify its association with sociodemographic, clinical, and lifestyle factors.Materials and methodsThis is a cross-sectional study with 941 individuals undergoing hemodialysis in a metropolitan area in southeastern Brazil. The conicity index was estimated and cutoffs of 1.275 and 1.285 for men and women, respectively, were used. For the analysis of the results, binary logistic regression was performed and the odds ratio (OR) was estimated with their respective confidence intervals (95% CI).ResultsThe conicity index was high in 56.54% of men (95% CI: 34.34-70.16) and 43.46% of women (95% CI: 38.45-55.20). We found that both adult men (OR = 3.71; 95% CI: 2.27-6.07) and adult women (OR = 4.06; 95% CI: 2.41-6.84) were more likely to have abdominal obesity, as well as self-declared mixed-raced (OR: 1.74; 95% CI: 1.01-3.00) and single men (OR: 1.64; 95% CI: 1.00-2.68).ConclusionsThe conicity index is an important anthropometric indicator to estimate abdominal obesity in individuals with chronic kidney disease on hemodialysis

Fatores socioeconômicos, clínicos e nutricionais no ganho de peso interdialítico em usuários de hemodiálise

Resumo Objetivo Avaliar os fatores associados ao ganho de peso interdialítico em usuários de serviços de hemodiálise em uma Região Metropolitana do Brasil. Métodos Estudo epidemiológico transversal envolvendo 1.024 indivíduos com doença renal crônica em hemodiálise no Brasil. O ganho de peso interdialítico foi avaliado pelo percentual de ganho de peso entre uma sessão de hemodiálise e outra. As variáveis incluídas na análise de regressão logística binária foram selecionadas considerando p< 0,10 no teste bivariado. Resultados Demonstramos que ter mais anos de estudo (OR=0,537;IC 95% = 0,310–0,931; p=0,027) e sobrepeso (OR=0,661;IC 95% = 0,461–0,948; p=0,024) ou obesidade ( OR=0,387;IC 95% = 0,246–0,608; p=<0,001) reduziu as chances de os usuários apresentarem alto ganho de peso interdialítico. Usuários sem trabalho remunerado (OR=2,025; IC 95% = 1,218–3,365; p=0,007) e que não adotavam medidas para reduzir o sal (OR=1,694; IC 95% = 1,085–2,645; p=0,020) tiveram maiores chances de ganho de peso interdialítico. Conclusão Os resultados apontam para associação entre o aumento do ganho de peso interdialítico e a ausência de trabalho remunerado e a não adoção de medidas para reduzir a ingestão de sal na dieta. Portanto, o conhecimento sobre esses fatores associados pode ser uma alternativa importante para o direcionamento individualizado dessa população

Conicity index as an indicator of abdominal obesity in individuals with chronic kidney disease on hemodialysis

Background The conicity index is indicated as a tool for assessing the nutritional status of renal individuals undergoing hemodialysis. Thus, this study aimed to estimate the prevalence of abdominal obesity using the conicity index in individuals with chronic kidney disease undergoing hemodialysis to verify its association with sociodemographic, clinical, and lifestyle factors. Materials and methods This is a cross-sectional study with 941 individuals undergoing hemodialysis in a metropolitan area in southeastern Brazil. The conicity index was estimated and cutoffs of 1.275 and 1.285 for men and women, respectively, were used. For the analysis of the results, binary logistic regression was performed and the odds ratio (OR) was estimated with their respective confidence intervals (95% CI). Results The conicity index was high in 56.54% of men (95% CI: 34.34–70.16) and 43.46% of women (95% CI: 38.45–55.20). We found that both adult men (OR = 3.71; 95% CI: 2.27–6.07) and adult women (OR = 4.06; 95% CI: 2.41–6.84) were more likely to have abdominal obesity, as well as self-declared mixed-raced (OR: 1.74; 95% CI: 1.01–3.00) and single men (OR: 1.64; 95% CI: 1.00–2.68). Conclusions The conicity index is an important anthropometric indicator to estimate abdominal obesity in individuals with chronic kidney disease on hemodialysis

Binary logistic regression between associated variables in the bivariate analysis and the outcome.

Binary logistic regression between associated variables in the bivariate analysis and the outcome.</p

Binary logistic regression between associated variables in the bivariate analysis and the outcome.

Binary logistic regression between associated variables in the bivariate analysis and the outcome.</p

Comparison of sociodemographic and clinical indicators and lifestyle habits according to the conicity index stratified by sex of individuals on hemodialysis.

Comparison of sociodemographic and clinical indicators and lifestyle habits according to the conicity index stratified by sex of individuals on hemodialysis.</p