Cut Points of the Conicity Index and Associated Factors in Brazilian Rural Workers

Prado, Camila Bruneli do; Martins, Cleodice Alves; Cremonini, Ana Clara Petersen; Ferreira, Júlia Rabelo Santos; Cattafesta, Monica; Almeida-de-Souza, Juliana; Zandonade, Eliana; Bezerra, Olívia Maria de Paula Alves; Salaroli, Luciane Bresciani

doi:10.3390/nu14214487

Cited by 4 publications

(3 citation statements)

References 41 publications

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“…Hu and coworkers discovered that a higher AVI was associated with higher energy intake when they calculated AVI trajectories over the course of 16 years of follow‐up and examined the associations between these trajectories and the risk of diabetes mellitus (Hu et al, 2022). Similarly, do Prado et al, reported that the consumption of ultra‐processed food was one of the primary causes of CI elevation and that CI had strong discriminatory power for the diagnosis of abdominal obesity among rural workers (do Prado et al, 2022). Given that HC is a component of BAI and AVI and females tend to have gynoid (pear‐shaped) bodies, it is not surprising that HC is affected by energy intake in females.…”

Section: Discussionmentioning

confidence: 95%

Do macronutrient intakes affect obesity indices in Jordanian adults?

Agraib

Al-Shami

Alkhatib

et al. 2023

American J Hum Biol

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ObjectiveTo determine whether macronutrient intake is associated with novel obesity indices, including the conicity index (CI), body adiposity index (BAI), abdominal volume index (AVI), body roundness index (BRI), and weight‐adjusted‐waist index (WWI).MethodologyA cross‐sectional survey was conducted with 491 adults (344 males and 147 females) working at different universities in Jordan (July–December 2019). Daily intake of energy (kcal), carbohydrates (g), protein (g), and fat (g) was obtained using 24‐h recalls collected over 2 days. Additionally, obesity indices were calculated.ResultsRegardless of sex, energy, and carbohydrate intakes had a moderately significant positive association, whereas protein and fat intakes had a weakly significant association with BAI, AVI, and BRI. CI and WWI showed a weakly significant association with all macronutrients in males, a moderate correlation with energy and carbohydrate intake, and a weak association with fat and protein intake in females. Male participants had significant increases in the CI (T1 = 1.29 ± 0.01 vs. T3 = 1.36 ± 0.01, p = .018), AVI (T1 = 17.96 ± 0.52 vs. T3 = 22.81 ± 0.57, p = .011), and WWI (T1 = 10.72 ± 0.11 vs. T3 = 11.29 ± 0.09, p = .047) indices scores through the carbohydrate intake tertiles. Additionally, there was a significant increase in scores of AVI (T1 = 18.60 ± 0.56 vs. T3 = 21.42 ± 0.46, p = .048) and an almost significant increase in CI (T1 = 1.30 ± 0.01vs. T3 = 1.33 ± 0.01, p = .056) through the tertiles of protein intake.ConclusionMacronutrients were significantly associated with all indices. The effect of macronutrients on obesity indices is sex‐based. Among men, CI, AVI, and WWI were the indices most affected by carbohydrate and protein intakes. Future studies should further investigate food sources and macronutrient quality.

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Section: Discussionmentioning

confidence: 95%

Do macronutrient intakes affect obesity indices in Jordanian adults?

Agraib

Al-Shami

Alkhatib

et al. 2023

American J Hum Biol

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“…Thus, individuals with a high conicity index have abnormal fat deposition in the abdominal region in relation to their height and weight. The indicator is recognized as an efficient tool [ 19 ] for identifying visceral fat [ 20 – 22 ], cardiovascular risk [ 23 ], lipid alterations [ 24 ], and coronary risk [ 25 ].…”

Section: Introductionmentioning

confidence: 99%

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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“…(7) Higher BRI is associated with an increased risk of heart failure and T2DM. (8,9) Also, a positive association between BRI and CI with selected cardiovascular risk factors, including insulin resistance, metabolic syndrome (MetS), hypertension, and dyslipidemia, (4)(5)(6)10) while BRI and BAI were able to predict high metabolic risk. (7,11) Likewise, AVI is the best for the discrimination of MetS.…”

Section: Introductionmentioning

confidence: 99%

Dietary fat types consumption association with obesity and coronary indices

Al-Shami,

Al-Dalaeen,

Alkhatib

et al. 2023

J Nutr Sci

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This article aims to study the different dietary fat types associated with obesity and coronary indices. A sample of 491 healthy adults was included in a cross-sectional manner. Dietary fats intake, obesity indices (conicity index (CI), body adiposity index (BAI), abdominal volume index (AVI), body roundness index (BRI), and weight-adjusted-waist index (WWI)), and cardiovascular indices (cardiometabolic index (CMI), lipid accumulation product (LAP), and atherogenic index of plasma (AIP)) were calculated and studied. Participants with an acceptable intake of omega-3 had a higher BRI score (1⋅90 ± 0⋅06 v. 1⋅70 ± 0⋅06). Participants with an unacceptable intake of cholesterol had a higher CI (1⋅31 ± 0⋅11 v. 1⋅28 ± 0⋅12; P = 0⋅011), AVI (20⋅24 ± 5⋅8 v. 18⋅33 ± 6⋅0; P < 0⋅001), BRI (2⋅00 ± 1⋅01 v. 1⋅70 ± 1⋅00; P = 0⋅003), WWI (11⋅00 ± 0⋅91 v. 10⋅80 ± 0⋅97; P = 0⋅032), and lower AIP (0⋅46 ± 0⋅33 v. 0⋅53 ± 0⋅33; P = 0⋅024). Total fat, saturated fat (SFA), and polyunsaturated fat (PUFA) intake had a significant moderate correlation with AVI and BRI. The monounsaturated fat (MUFA) intake had a significantly weak correlation with CI, AVI, BRI, WWI, and AIP. Cholesterol and omega-6 had weak correlations with all indices. Similar correlations were seen among male and female participants. The different types of fat intake significantly affected obesity and coronary indices, especially SFA and PUFA, as well as omega-3 and cholesterol. Gender and the dietary type of fat intake have a relationship to influence the indicators of both obesity and coronary indices.

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Cut Points of the Conicity Index and Associated Factors in Brazilian Rural Workers

Cited by 4 publications

References 41 publications

Do macronutrient intakes affect obesity indices in Jordanian adults?

Do macronutrient intakes affect obesity indices in Jordanian adults?

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

Dietary fat types consumption association with obesity and coronary indices

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