ArticleNutrients2022
Cut Points of the Conicity Index and Associated Factors in Brazilian Rural Workers.
Article in Nutrients, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Article
- Article
- Association Between Workday Sleep Deprivation, Weekend Catch-Up Sleep, and Abdominal Adiposity Indicators: A Cross-Sectional Study Among Brazilian Female Fixed-Shift Workers.Diseases (Basel, Switzerland) · 2026Article
- Association between conicity index and osteoporosis/femoral bone mineral density in USA adults : a cross-sectional study based on evidence from the National Health and Nutrition Examination Survey (2005 to 2020).Bone & joint research · 2026Article
- The cutoff points of body roundness index for predicting metabolic syndrome in the Brazilian population among 18-59 years.Scientific reports · 2025Article
- Association between conicity index (C-index), relative fat mass (RFM), and osteoarthritis (OA): evidence from NHANES 2003-2018.Lipids in health and disease · 2025Article
- Neck circumference cutoff point as a predictor of metabolic syndrome in Brazilian rural workers.PloS one · 2025Article
- Gender Differences in the Predictive Value of Obesity Indices for Insulin Resistance in Adult Mexican Individuals.Endocrine, metabolic & immune disorders drug targets · 2024Article
- Metabolic Syndrome and Associated Factors in Farmers in Southeastern Brazil: A Cross-Sectional Study.International journal of environmental research and public health · 2023Observational
- Dietary fat types consumption association with obesity and coronary indices.Journal of nutritional science · 2023Article
- Conicity index as an indicator of abdominal obesity in individuals with chronic kidney disease on hemodialysis.PloS one · 2023Article
Corrections and comments
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Authors and funding
9 authors.
Funding
Abstract
(1) 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.
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