Cut points of the conicity index as an indicator of abdominal obesity in individuals undergoing hemodialysis: An analysis of latent classes

Martins, Cleodice Alves; Ferreira, Júlia Rabelo Santos; Cattafesta, Monica; Neto, Edson Theodoro dos Santos; Marques-Rocha, José Luiz; Salaroli, Luciane Bresciani

doi:10.1016/j.nut.2022.111890

Cited by 5 publications

(7 citation statements)

References 37 publications

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“…In those treated with hemodialysis, the values were 39% in Norway [47] and 44.77% in Brazil [48]. Thus, we noticed that the prevalence of abdominal obesity in our study is high and is higher than that of others found in the literature, including those with a population similar to our study [49].…”

Section: Discussionsupporting

confidence: 56%

Consumption of Ultra-Processed Foods Is Associated with Abdominal Obesity in Individuals on Hemodialysis

Gering,

Martins,

Marques

et al. 2024

Preprint

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Consumption of ultra-processed foods is associated with abdominal obesity, but this association has not yet been investigated in individuals on hemodialysis. This cross-sectional study, developed with 1014 individuals, aimed to analyze the prevalence of abdominal obesity and its association with the consumption of ultra-processed foods in individuals on hemodialysis. Consumption of ultra-processed foods was measured using a questionnaire, whose list of foods was based on the Surveillance System of Risk and Protective Factors for Chronic Non-Communicable Diseases through Telephone Enquiry. Waist circumference was used to determine the presence of abdominal obesity. The difference in proportions between the independent variables and the outcome was verified using Pearson's chi-square test. Hierarchical logistic regression was used to determine the association between the outcome and the independent variables. The prevalence of abdominal obesity was 77.22%. In the final model, higher consumption of ultra-processed foods, be male and an adult, have between 8 and 11 years of schooling and practice physical activity below the recommended level increased the chances of having abdominal obesity. The research provides a basis for the creation and improvement of public policies that promote improvements in these health determinants.

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Section: Discussionsupporting

confidence: 56%

Consumption of Ultra-Processed Foods Is Associated with Abdominal Obesity in Individuals on Hemodialysis

Gering,

Martins,

Marques

et al. 2024

Preprint

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show abstract

“…The categorization of physical activity is described in greater detail in the previous study [ 26 ]. Regarding smoking, those who reported being smokers were categorized as “yes” and those who reported never having smoked or who had smoked in the past were categorized as “no.” Regarding alcohol intake, those who reported consuming alcohol, regardless of time or quantity, were classified as “yes,” and those who reported not consuming alcoholic beverages were classified as “no.”…”

Section: Methodsmentioning

confidence: 99%

“…In this study, the cutoff points adopted for the conicity index for individuals with CKD on hemodialysis were ≥ 1.275 for men and ≥ 1.285 for women [ 26 ]. To make the results consistent, the cut-off point applied in the study was performed with individuals on hemodialysis, as this population has specific body differences generated by chronic kidney disease [ 6 , 7 , 10 , 12 , 13 ], which makes it important to use a specific cut-off point for the index of conicity [ 26 ].…”

Section: Methodsmentioning

confidence: 99%

“…The categorization of physical activity is described in greater detail in the previous study [26]. Regarding smoking, those who reported being smokers were categorized as "yes" and those who reported never having smoked or who had smoked in the past were categorized as "no."…”

Section: Sociodemographic and Clinical Characteristicsmentioning

confidence: 99%

“…However, studies that diagnose the presence of abdominal obesity by the conicity index do not use a specific cutoff point for the index for individuals with CKD on hemodialysis. In previous studies, a specific cutoff point was developed for the conicity index for renal individuals [ 26 ], which was applied in the present study considering the importance of investigating the distribution of body fat in this population. This article 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 life habits factors.…”

Section: Introductionmentioning

confidence: 99%

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

et al. 2023

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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.

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Waist-to-height ratio and dynapenic abdominal obesity in users of hemodialysis services

Souza

Martins

Cattafesta

et al. 2023

Nutrition, Metabolism and Cardiovascular Diseases

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Cut points of the conicity index as an indicator of abdominal obesity in individuals undergoing hemodialysis: An analysis of latent classes

Cited by 5 publications

References 37 publications

Consumption of Ultra-Processed Foods Is Associated with Abdominal Obesity in Individuals on Hemodialysis

Consumption of Ultra-Processed Foods Is Associated with Abdominal Obesity in Individuals on Hemodialysis

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

Waist-to-height ratio and dynapenic abdominal obesity in users of hemodialysis services

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