The Relation of CUN-BAE Index with Body Mass Index and Waist Circumference in Adults Aged 50 to 85 Years: The MCC-Spain Study

Dávila-Batista, Verónica; Molina, A.; Fernández‐Villa, Tania; Romaguera, Dora; Pérez‐Gómez, Beatriz; Vilorio-Marqués, Laura; Dierssen-Sotos, Trinidad; Altzibar, Jone M; Ardanáz, Eva; Salcedo‐Bellido, Inmaculada; Fernández‐Tardón, Guillermo; Capelo, Rocío; Salas, Dolores; Marcos‐Gragera, Rafael; Huerta, José María; Sanjosé, Sílvia de; Sierra, María Ángeles; Canga-Presa, José M; Gómez‐Acebo, Inés; Amiano, Pilar; Pollán, Marina; Aragonés, Núria; Castaño‐Vinyals, Gemma; Kogevinas, Manolis; Martín, Vicente

doi:10.3390/nu12040996

Cited by 8 publications

(6 citation statements)

References 30 publications

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“…When studying the mean values of the different scales with which we measured overweight and obesity, we found more unfavorable results for men except in the formulas that include sex in their calculation. In these cases, the results were significantly more unfavorable for women (CUN-BAE, ECORE-BF, Palafolls, Relative Fat Mass, Deuremberg), which coincides with the results obtained in other studies where the sex factor seems to bear an influence [42,43].…”

Section: Discussionsupporting

confidence: 90%

Cardiometabolic profile of 15057 elderly Spanish workers: association of sociodemographic variables and tobacco consumption

et al. 2022

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Background Aging of the world population is one of the most significant demographic changes of our time. Populations older than 60 years are heterogeneous, and age is an independent cardiovascular risk factor aggravated by frailty, obesity, and diabetes, and influenced by several factors, including sex and socioeconomic status. The objective of this study was to calculate cardiovascular risk in workers of both sexes over 60 years of age and to assess whether there are difference s by sex, social class, smoking, and type of job. Methods A cross-sectional study was carried out in 15,057 elderly Spanish workers from different autonomous communities in Spain and with different labor occupations. Anthropometric, sociodemographic, clinical, and laboratory values were determined. People were classified according to age from 60 to 64 years inclusive and from 65 to 69 years, smokers and non-smokers, and both blue-collar and white-collar workers. Subsequently, a multivariate analysis was carried out. Results Men, blue-collar workers, smokers, and aging were factors that influenced cardiovascular risk: with an OR of 3.27 (95% CI: 2.64–4.05) in people 65 years of age or older versus the younger group, and an OR of 3.15 (95% CI: 2.69–3.69) in smokers versus non-smokers. A stronger independent association was found between smoking, age, and cardiovascular risk. The risk of developing non-alcoholic fatty liver and liver fibrosis was much higher in men than in women, with an OR of 4.06 (95% CI: 3.66–4.50) for the former and an OR of 2.10 (95% CI: 1.95–2.26) for the BARD index. Conclusions The highest risk groups were observed in male subjects with a history of smoking and blue-collar workers and, as such, should be considered for cardiovascular risk screening programs.

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Section: Discussionsupporting

confidence: 90%

Cardiometabolic profile of 15057 elderly Spanish workers: association of sociodemographic variables and tobacco consumption

et al. 2022

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“…Moreover, Rajput et al ( 62 ) previously argued that the WHtR can be used independently as a universal screening tool to identify individuals at high risk of developing metabolic complications, regardless of the individuals' gender or geographical location. Other researchers have also advocated the importance of using the WC, WHtR, BRI and CUN-BAE in the diagnosis of cardiometabolic disorders and MetS ( 36 , 45 , 63 , 64 ). According to Thomas et al ( 36 ), the BRI was created to measure body fat and the percentage of visceral adipose tissue by using WC and height in the algorithm.…”

Section: Discussionmentioning

confidence: 99%

Anthropometric indices and cut-off points for screening of metabolic syndrome among South African taxi drivers

et al. 2022

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BackgroundDetecting the early onset of metabolic syndrome (MetS) allows for quick intervention which may slow progression to a variety of health consequences, hence, determining the best measurement to detect MetS is essential.AimThis research aimed at examining the MetS predictive power of anthropometric indices, such as body mass index (BMI), waist circumference (WC), waist-to-height ratio (WHtR), body shape index (ABSI), body roundness index (BRI), percentage body fat (%BF), conicity index (CI), and Clínica Universidad de Navarra-body adiposity estimator (CUN-BAE) to determine the cut-off points to identify male South African taxi drivers with MetS.MethodA cross-sectional study was conducted among 185 male taxi drivers. Their weight, height, WC, blood lipid profile were measured. International Diabetes Federation (IDF) definition was used to define MetS. Receiver Operating Characteristic (ROC) curves were used to compare the predictive ability of Anthropometric indices to detect MetS.ResultsThe mean age of the participants was 39.84 years. Overall, 41.6% (N = 77) of the participants presented with MetS. The mean values for BMI, WC, WHtR, %BF, BRI, CUN-BAE, ABSI and CI were 28.60 ± 6.20 kg/m2, 99.13 ± 17.59 cm, 0.58 ± 0.10, 27.28 ± 8.28%, 5.09 ± 2.33, 27.78 ± 8.34, 0.08 ± 0.01 and 1.70 ± 0.19, respectively. The mean values for these indices were significantly (p < 0.001) higher in participants with MetS. The highest area under the curve (AUC) outcomes for screening MetS were for the %BF and CUN-BAE, followed by the BMI and WHtR, and lastly the BRI. All these anthropometric indices had outstanding discriminatory powers for predicting MetS with AUCs and sensitivity values above 80%. The BMI, WHtR, %BF, BRI, and CUN-BAE, had cut-off points for detection of metS in South African men at 28.25 kg/m2, 0.55, 25.29%, 4.55, and 27.10, respectively. Based on the logistic regression models abnormal BMI, WHtR, %BF, BRI, CUN-BAE, TG, FBG, systolic BP, diastolic BP and WC showed increased risk of MetS.ConclusionWhile the %BF, CUN-BAE, BMI, WC, WHtR, BRI, CI and CUN-BAE could predict MetS among South African male taxi drivers, these indices were less effective in predicting the individual MetS risk factors such as TG, BP, and FBG.

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“…Fifth, we divided our study population by sex or age (≥50 years, <50 years). Sixth, using body fat percentage calculated by the CUN-BAE formula, 31 the association between body fat percentage and the development of HF or AF was examined using cox regression analysis. Following previous studies, we classified the participants into three groups: normal body fatness, overweight, and obesity.…”

Section: Methodsmentioning

confidence: 99%

“…Following previous studies, we classified the participants into three groups: normal body fatness, overweight, and obesity. 31 Since the CUN-BAE formula is calculated from age, sex, and BMI, multivariate cox regression analysis was performed with hypertension, diabetes mellitus, dyslipidaemia, cigarette smoking, and alcohol consumption.…”

Section: Methodsmentioning

confidence: 99%

Relationship of normal-weight central obesity with the risk for heart failure and atrial fibrillation: analysis of a nationwide health check-up and claims database

Ueno

Kaneko

Kamiya

et al. 2022

European Heart Journal Open

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Aims There have been scarce data on the relationship of normal-weight central obesity　(NWCO) with the subsequent risk for heart failure (HF) and atrial fibrillation (AF). Using a nationwide health check-up and administrative claims database, we sought to clarify whether NWCO would be associated with the incidence of HF and AF. Methods and Results Medical records of 1,697,903 participants without prior history of cardiovascular disease (CVD) and normal-weight (body mass index of 18.5–23.0 kg/m2) were extracted from the JMDC Claims Database, which is a health check-up and claims database. We defined NWCO as normal-weight and CO (waist circumference ≥ 90 cm for men or ≥ 80 cm for women). The median age was 44.0 (37.0–52.0) years and 872,578 (51.4%) participants were men. Overall, 154,778 individuals (9.1%) had CO. The mean follow-up period was 3.3±2.6 years. Participants with NWCO were older and more likely to be women than those without. HF and AF occurred in 26,936 (1.6%) and 6,554 (0.4%) participants, respectively. People having NWCO was associated with a greater risk for HF (hazard ratio (HR) 1.072, 95% confidence interval (CI) 1.026–1.119) and AF (HR 1.202, 95% CI 1.083–1.333) compared with those having normal-weight without CO. Conclusion Our analysis of a nationwide health check-up and administrative claims database including approximately 1.7 million participants without prevalent cardiovascular disease history demonstrated the potential impact of NWCO on the risk for HF and AF, suggesting the importance of abdominal obesity in the developing HF and AF even in normal-weight individuals.

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The Relation of CUN-BAE Index with Body Mass Index and Waist Circumference in Adults Aged 50 to 85 Years: The MCC-Spain Study

Cited by 8 publications

References 30 publications

Cardiometabolic profile of 15057 elderly Spanish workers: association of sociodemographic variables and tobacco consumption

Cardiometabolic profile of 15057 elderly Spanish workers: association of sociodemographic variables and tobacco consumption

Anthropometric indices and cut-off points for screening of metabolic syndrome among South African taxi drivers

Relationship of normal-weight central obesity with the risk for heart failure and atrial fibrillation: analysis of a nationwide health check-up and claims database

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