A comparison between multiple regression models and CUN-BAE equation to predict body fat in adults

Validity of non-traditional measures of obesity compared to total body fat across the life course: A systematic review and meta-analysis

IntroductionTraditional obesity measures including body mass index, waist circumference, waist-to-hip ratio, and waist-to-height ratio have limitations. The primary objective of this study was to identify and review the validity of non-traditional obesity measures, using measures of total body fat as the reference standard, that have been used across multiple life stages. MethodsWe conducted a systematic review and searched MEDLINE, Embase, and PsycINFO. We included observational studies published from 2013 to October 2023 among "the general population" for any life stage that reported the validity of non-traditional obesity measures compared to total body fat reference standards. Separate meta-analyses were performed to pool correlation coefficients and mean differences for non-traditional obesity measures that were evaluated at multiple life stages. ResultsA total of 123 studies were included, and 55 validated non-traditional obesity measures were identified. Of these, 13 were evaluated at multiple life stages. Two-dimensional (2D) digital imaging technologies, three-dimensional (3D) body scanners, relative fat mass (RFM), and mid-upper arm circumference had high or moderate validity (pooled correlation coefficient >0.70). Pooled mean differences were small (<6%) between total body fat percentage from reference standards and from RFM, 2D digital imaging technologies, 3D body scanners, and the body adiposity index. Heterogeneity (I2) was >75% in most meta-analyses. ConclusionNumerous validated non-traditional obesity measures were identified; relatively few were evaluated at multiple life stages and did not consider health risks associated with adiposity. More research is needed to define valid obesity measures across all life stages that assess health and adiposity.

Evaluation of novel and traditional anthropometric indices for predicting metabolic syndrome and its components: a cross-sectional study of the Nepali adult population

BACKGROUND

Various anthropometric indices have been proposed to assess central obesity and predict metabolic syndrome (MetS). However, their ability to predict MetS has not been evaluated in the Nepali adult population. This study compared the predictive potential of 12 novel and traditional anthropometric indices for MetS and its components among Nepali adults.

METHODS

This cross-sectional study, conducted between January 2022 and June 2023, involved 1,116 adult participants (424 females, 692 males) aged 30-86 years from Gandaki Province, Nepal. Twelve anthropometric indices were calculated from the primary anthropometric and metabolic parameters. MetS was defined according to the modified NCEP-ATP III criteria. Logistic regression models were used to assess the strength of associations between these indices and MetS. Receiver operating characteristic (ROC) curve analysis was used to determine the predictive potential of these indices for MetS and its components. AUC differences between various index pairs were also calculated.

RESULTS

The overall prevalence of MetS in our study participants was 52.7%. The VAI demonstrated the best performance in predicting MetS (AUC: 0.865 for females, 0.882 for males), followed by LAP (AUC: 0.848 for females, 0.866 for males). The WHR showed good performance (AUC: 0.749 for females, 0.722 for males). BMI, the well-known traditional measure of body adiposity, demonstrated lower predictive ability (AUC: 0.586 for females, 0.571 for males). The optimal cutoffs were as follows: VAI > 2.37 for females, > 1.71 for males; LAP > 37.21 for females, > 47.74 for males; WHR > 0.97 for females, > 0.98 for males; and BMI > 23.10 for females, > 23.90 for males. BAI exhibited the poorest diagnostic performance for MetS prediction in both sexes (AUC < 0.555). Both the VAI and LAP were strongly positively associated (p < 0.001) with increased odds of MetS in both females (OR: 16.03, 95% CI: 9.77-26.31) and males (OR: 24.88, 95% CI: 16.51-37.48).

CONCLUSION

Among Nepali adults, the VAI and LAP outperform traditional anthropometric indices in predicting MetS and its components, suggesting their potential as effective screening tools for early detection. These findings contribute to the development of population-specific screening strategies for MetS in resource-limited settings such as Nepal, potentially enhancing early detection and prevention of cardiometabolic disorders.

Agreement between equation-derived body fat estimator and bioelectrical impedance analysis for body fat measurement in middle-aged southern Indians

Excess body fat (BF) contributes to metabolic syndrome (MetS). The Clínica Universidad de Navarra-Body Adiposity Estimator (CUN-BAE) is an equation-derived body fat estimator proposed to assess BF. However, its efficiency compared to the standard method is unknown. We aimed to compare the efficacy of CUN-BAE with the standard method in estimating BF in southern Indians. We included 351 subjects, with 166 MetS patients and 185 non-MetS subjects. BF was obtained from the standard bioelectrical impedance analysis (BIA) method and measured by CUN-BAE in the same subjects. We compared the efficacy of CUN-BAE in estimating BF with that of BIA via Bland-Altman plots, intraclass correlation coefficients, concordance correlation coefficients and the kappa index. The mean body fat percentage (BF%) values measured by BIA and CUN-BAE in all the subjects were 28.91 ± 8.94 and 29.22 ± 8.63, respectively. We observed significant absolute agreement between CUN-BAE and BIA for BF%. BIA and CUN-BAE showed good reproducibility for BF%. CUN-BAE had accuracy comparable to BIA for detecting MetS using BF%. Our findings indicate that CUN-BAE provides precise BF estimates similar to the BIA method, making it suitable for routine clinical practice when access to BF measurement devices is limited.

The relation of body adiposity to the outcomes of thoracoscopic lobectomy for lung cancer - a single-center cohort study

Introduction

The outcomes of lung cancer surgery depend on the patients' nutritional status. Body fat percentage (BF%) is one of the indicators of body composition and nutritional status. Direct measurement of BF% is complicated, requires significant resources and is rarely performed. The CUN-BAE (Clínica Universidad de Navarra - Body Adiposity Estimator) index has been shown to accurately predict BF% is several clinical settings, but its relation to the outcomes of lung surgery has not been reported so far.

Aim

To determine the relation of the BF% to the outcomes of thoracoscopic lobectomy.

Material and methods

This retrospective study included 1,183 patients who underwent thoracoscopic lobectomy for non-small cell lung cancer between June 1999, and September 2019 at one department. BF% was calculated according to the Clínica Universidad de Navarra - Body Adiposity Estimator equation. The primary endpoints were postoperative complications and long-term survival.

Results

Univariate analysis showed that higher BF% was related to lower incidence of complications (p = 0.001), including prolonged air leak (p < 0.001), atelectasis (p < 0.05), psychosis (p < 0.001), reoperations (p < 0.05), and shorter chest drainage (p = 0.001) and hospitalization duration (p < 0.001). Multivariate analysis showed that higher BF% was correlated with lower risk of complications (p = 0.005; OR = 0.964; 95% CI: 0.940 to 0.989), including prolonged air leak (p < 0.001; OR = 0.923; 95% CI: 0.886 to 0.962), and shorter duration of chest drainage (p < 0.001; B = -0.046; 95% CI: -0.069 to -0.023) and hospitalization (p < 0.001; B = -0.112; 95% CI: -0.176 to -0.048). Cox proportional hazards regression analysis showed that BF% was not related to long-term survival.

Conclusions

Body fat percentage is a valuable tool that can help predict the short-term outcomes of minimally lobectomy for lung cancer.

The relationship between the CUN-BAE body fatness index and incident diabetes: a longitudinal retrospective study

BACKGROUND

The Clínica Universidad de Navarra-Body Adiposity Estimator (CUN-BAE) index has been recommended as an ideal indicator of body fat and exhibited significant correlation with cardiometabolic risk factors. However, whether the CUN-BAE index correlates with incident diabetes in Asian populations is unknown. Therefore, this longitudinal study was designed to evaluate the association between baseline CUN-BAE index and type 2 diabetes mellitus (T2DM).

METHODS

This retrospective longitudinal study involved 15,464 participants of 18-79 years of age in the NAGALA (NAfld in the Gifu Area Longitudinal Analysis) study over the period of 2004-2015. Cox proportional hazards regression was performed to test the relationship between the baseline CUN-BAE index and diabetes incidence. Further stratification analysis was conducted to ensure that the results were robust. The diagnostic utility of the CUN-BAE index was tested by the receiver operating characteristic (ROC) curve.

RESULTS

Over the course of an average follow-up of 5.4 years, 373 (2.41%) participants developed diabetes. A higher diabetes incidence was associated with higher CUN-BAE quartiles (P for trend< 0.001). Each 1 unit increase in CUN-BAE index was associated with a 1.08-fold and 1.14-fold increased risk of diabetes after adjustment for confounders in males and females, respectively (both P < 0.001). Stratification analysis demonstrated a consistent positive correlation between baseline CUN-BAE and diabetes incidence. Moreover, based on ROC analysis, CUN-BAE exhibited a better capacity for diabetes prediction than both body mass index (BMI) and waist circumference (WC) in both sexes.

CONCLUSIONS

The baseline CUN-BAE level was independently related to the incidence of diabetes. Increased adiposity determined by CUN-BAE could be used as a strong nonlaboratory predictor of incident diabetes in clinical practice.

Market orientation and technological orientation in business services: The moderating role of organizational culture and human resources on performance

Contemporary conditions of the functioning of enterprises mean that they are increasingly looking for opportunities to improve organizational performance in strategic management. Scientists are looking for optimal solutions, an appropriate combination of assets and resources, so the debate in the field of strategic orientations is still valid and gaining in importance. Several studies have explored the construct of market orientation, but few include technological orientation with the moderating effects of company assets. In the era of the highly competitive technology market, the area of technological business service providers are particularly interesting, but still undiscovered. This paper examines the effects of market orientation and technological orientation on organizational performance with the inclusion of organizational culture and human resources as moderators. Using questionnaire responses from technological business service providers (n = 689), a regression analysis was conducted to confirm the hypotheses. The results established evidence of positive relationships between market orientation—organizational performance and technological orientation—organizational performance, although in technological firms, the market orientation had a stronger correlation with organizational performance than the technological orientation. Moreover, the organizational culture and human resources play a moderating role in the relationships of market orientation—organizational performance and technological orientation—organizational performance, while weak human resources management weakens relationships market orientation—organizational performance and technological orientation—organizational performance and strong organizational culture reduce the effect of market orientation on organizational performance, significantly reducing the effect of technological orientation on firm performance.

A Comparison of Equation Córdoba for Estimation of Body Fat (ECORE-BF) with Other Prediction Equations

There are multiple formulas for estimating the percentage of body fat (BF%). Clínica Universidad de Navarra-Body Adiposity Estimator (CUN-BAE) is one of the most used formulas because of its accuracy and its association with cardiovascular pathologies. Equation Córdoba for Estimation of Body Fat (ECORE-BF) was developed to simplify the calculation of BF% while maintaining a similar level of accuracy. The objective was to compare ECORE-BF in a large sample of Spanish workers using CUN-BAE as a reference. A cross-sectional study was carried out on 196,844 participants. The BF% was estimated using different formulas: relative fat mass (RFM), Palafolls, Deurenberg, and ECORE-BF. The accuracy of the estimation was determined using Lin’s concordance correlation coefficient (CCC) and the Bland–Altman method, using CUN-BAE as the reference method. ECORE-BF reached the highest concordance (CCC = 0.998). It also showed the lowest mean difference (−0.0077) and the tightest agreement limits (−0.9723, 0.9569) in the Bland–Altman test. In both analyses, it remained robust even when separating the analyses by sex, nutritional status, or age. ECORE-BF presented as the most straightforward and most accurate equation for the estimation of BF%, remaining robust regardless of population characteristics.

Prevalence of hypertriglyceridemia in adults and related cardiometabolic factors. SIMETAP-HTG study

AIM

To determine in the adult population the crude and the sex- and age-adjusted prevalence rates of hypertriglyceridaemia (HTG) and to assess its association with cardiovascular risk factors, chronic kidney disease, cardiovascular and cardiometabolic diseases.

METHODS

Cross-sectional observational study conducted in Primary Care, with 6,588 adult study subjects, randomly selected on base-population. Patients had HTG if the triglyceride level was≥150mg/dL (≥1.7mmol/L), or were on lipid-lowering therapy to lower triglyceride. Associations were assessed by univariate and multivariate analysis, and crude and sex- and age-adjusted prevalence rates were determined.

RESULTS

The arithmetic and geometric means of triglyceride levels were respectively 120.5 and 104.2mg/dL in global population, 135.7 and 116.0mg/dL in men, and 108.6 and 95.7mg/dL in women. The crude HTG prevalence rates were 29.6% in global population, 36.9% in men and 23.8% in women. The sex- and age-adjusted HTG prevalence rates were 27.0% in global population, 34.6% in men and 21.4% in women. The independent variables that were most associated with HTG were hypercholesterolemia (OR: 4.6), low HDL-C (OR: 4.1), hepatic steatosis (OR: 2.8), diabetes (OR: 2.0), and obesity (OR: 1.9).

CONCLUSIONS

The means of triglyceride levels and HTG prevalence rates are intermediate between those of other national and international studies. A fifth of the female adult population and more than a third of the male population had HTG. The independent factors associated with HTG were hypercholesterolemia and low HDL-C, and the cardiometabolic variables diabetes, hepatic steatosis and obesity.

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

Backgound: Traditional anthropometrics such as body mass index (BMI) or waist circumference (WC) do not fully capture the complex biology of body fat (BF) in the elderly. The Clinica Universidad de Navarra-Body Adiposity Estimator (CUN-BAE) index, based on BMI, is proposed as a better indicator of BF. However, its relation with BMI is not clear. The aim was to compare the agreement between CUN-BAE, BMI, and WC in those aged ≥50 years. Methods: A cross-sectional sample of 3153 Caucasian healthy adults was taken from the MCC-Spain study. The Pearson's correlation and its 95% confidence interval (CI), adiposity distribution, and Kappa Index (95%CI) were calculated. Results: The correlation of CUN-BAE with WC is 0.18 (95%CI 0.14-0.21) and that with BMI is moderate (r 0.58; 95%CI 0.55-0.60), but both increased strongly by sex. Agreement (normal weight/overweight/obesity) of CUN-BAE with BMI is 7% and with WC is 18%. Conclusions: The correlation and the degree of agreement of CUN-BAE with BMI and WC are low in individuals aged over 50, but it is higher by sex. Thus, this different criterion of obesity may have clinical applications. More studies with a gold standard are needed to evaluate the CUN-BAE in elderly adults.

Equation Córdoba: A Simplified Method for Estimation of Body Fat (ECORE-BF)

BACKGROUND

Many methods for measuring body fat have been developed, but applications in clinical settings are limited. For this reason, researchers have tried to identify different formulas for its estimation but most of are hard to incorporate into daily work due to the variability in population and difficulty of use. The aim of this study was to develop and validate a new equation for the simplified estimation of body fat using the Clínica Universidad de Navarra - Body Adiposity Estimator (CUN-BAE) as a reference.

METHODS

This research was conducted in two phases. In the first, the new body fat estimation equation was developed. The developed equation was validated in the second phase. Pearson's linear correlation, raw and adjusted linear regressions, the intraclass correlation coefficient, and Bland-Altman graphs were used.

RESULTS

The variables that best adjusted the body fat percentage were age, sex, and the Napierian logarithm of Body Mass Index (LnBMI), forming the Equation Córdoba for Estimation of Body Fat (ECORE-BF) model. In its validation, the model presented correlation values of 0.994, an intraclass correlation coefficient of 0.960, with the Bland-Altman graph indicating means differences of 1.82 with respect to the estimation with the CUN-BAE. Nevertheless, although the aim was to simplify the CUN-BAE, the main limitation of this study is that a gold standard, such as air displacement plethysmography (ADP) or dual-energy X-ray absorptiometry (DXA), was not used.

CONCLUSIONS

The proposed equation (ECORE-BF) simplified the CUN-BAE and provided a precise method, respecting the principle of parsimony, for the calculation of body fat.

Prevalence of diabetes mellitus in Spanish primary care setting and its association with cardiovascular risk factors and cardiovascular diseases. SIMETAP-DM study

INTRODUCTION

The aims of this study were to determine the age- and sex-adjusted prevalence rates of DM, type-1 DM (T1DM), and type-2 DM (T2DM), and to compare the relationship with cardiovascular risk factors, cardiovascular diseases, chronic kidney disease, and metabolic diseases between populations with and without DM.

METHODS

SIMETAP-DM is a cross-sectional observational study conducted in a Primary Care setting with a random population-based sample of 10,579 adults. Response rate: 66%. The diagnoses of DM, T1DM and T2DM were based on clinical and biochemical criteria and/or the checking of these diagnoses in the medical records. The crude and age- and sex-adjusted (standardised for Spanish population) prevalence rates were calculated.

RESULTS

The crude prevalence rates of T1DM, T2DM, and DM were 0.87% (95% confidence interval [95% CI]: 0.67-1.13), 14.7% (95% CI: 13.9-15.6), and 15.6% (95% CI: 14.7-16.5), respectively. The age- and sex-adjusted prevalence rates of T1DM, T2DM, and DM were 1.0% (1.3% for men and 0.7% for women), 11.5% (13.6% for men and 9.7% for women), and 12.5% (14.9% for men and 10.5% for women), respectively. The prevalence of DM in the population≥70 years was double (30.3% [95% CI: 28.0-32.7]) that of the population between 40 and 69 years (15.3% [95% CI: 14.1-16.5]). Hypertension, peripheral arterial disease, increased waist-to-height ratio, albuminuria, coronary heart disease, atherogenic dyslipidaemia and hypercholesterolaemia were associated with DM.

CONCLUSIONS

In a Spanish primary care setting, the age-adjusted prevalences of T1DM, T2DM and DM in the adult population were 1.0, 11.5, and 12.5%, respectively. One-third (33%) of the population over 70 years had DM.

Estimation of body fat mass using the CUN-BAE index and mortality risk by sex in the Asturias Study cohort

INTRODUCTION AND OBJECTIVES

In epidemiological studies, excess body fat (BF) has been associated with cardiometabolic risk factors, some types of cancer, and other causes of death. A new anthropometric method has been defined: The CUN-BAE index (University of Navarra Clinic-Body Fat Estimator), which is based on BMI, sex, and age. BMI and CUN-BAE index were used to assess their contribution to mortality risk from any cause in the Asturias Study cohort.

MATERIAL AND METHODS

The Asturias study is a cohort study including 1.034 individuals aged 30-75years who participated in the first study phase (1998-1999). The study included a clinical survey, physical examination, and an oral glucose tolerance test. Vital status was determined in the cohort after 18years of follow-up.

RESULTS

Two hundred and four subjects died: 93 females and 111 males (16.6% and 23.5% respectively men). Baseline values of both BMI and %BF suggesting obesity (BMI>30kg/m² and CUN-BAE >25% in males and >35% in females) were found in most subjects. After adjusting for T2DM, HBP, CVD, and tobacco, the risk of all-cause and cardiovascular mortality was significantly higher as CUN-BAE increased, especially in females.

CONCLUSIONS

The CUN-BAE equation is a useful tool, especially in females, to detect those who will have a greater risk of mortality, regardless of cardiovascular risk factors.

Anthropometric Indicators of Adiposity Related to Body Weight and Body Shape as Cardiometabolic Risk Predictors in British Young Adults: Superiority of Waist-to-Height Ratio

Frequently reported poor dietary habits of young adults increase their risk of metabolic syndrome (MetS). Excess adiposity is the most established predictor of MetS, and numerous anthropometric measures have been proposed as proxy indicators of adiposity. We aimed to assess prevalence of MetS in young adult population and to make comparison between weight- and shape-oriented measures of adiposity to identify the best index in association with measured body fat and as a risk predictor for MetS. Healthy males and females aged 18-25 years from the Northwest of England were recruited using convenience sampling (n=550). As part of the assessment of the overall health of young adults, the biochemical variables and adiposity measures BMI, waist circumference (WC), waist-to-height ratio (WHtR), waist-to-hip ratio (WHR), new BMI, Body Adiposity Index (BAI), Clinica Universidad de Navarra-Body Adiposity Estimator (CUN-BAE), and A Body Shape Index (ABSI) were assessed. Linear regression analysis was used to investigate the association between the proxy indices of adiposity and measured percentage body fat. The odds ratio with 95% confidence interval was used to investigate the relationship between cardiometabolic (CM) risk factors and proxy measures of adiposity. The discriminatory power of these measures for diagnosis of MetS was investigated using area under the receiver operating characteristic curve. Body weight-related indicators of adiposity, particularly CUN-BAE, had stronger association with measured body fat compared with body shape-related indices. In relation with MetS, body shape-related indices, particularly elevated WC and WHtR, had stronger associations with CM risk compared with body weight-related measures. Amongst all indices, the best predictor for CM risk was WHtR, while ABSI had the weakest correlation with body fat, MetS, and CM risk. Indices directly associated with WC and specifically WHtR had greater diagnostic power in detection of CM risk in young adults.

The relation of CUN-BAE index and BMI with body fat, cardiovascular events and diabetes during a 6-year follow-up: the Hordaland Health Study

Objective

We compared Clínica Universidad de Navarra-Body Adiposity Estimator (CUN-BAE) and body mass index (BMI) as correlates of body fat percent (BF%) and the association with future risk of cardiovascular disease (CVD) and type 2 diabetes in a Caucasian population.

Methods

We used data from 6796 individuals (born 1925–27 and 1950–52) from the Hordaland Health Study, a prospective cohort study in Norway. The study was conducted in 1992–1993 and 1997–1999. Cross-sectional analyses were conducted with data from 1997/99, including BF% measured by dual-energy X-ray absorptiometry. Longitudinal analyses included BMI and CUN-BAE calculated in 1992/93, and self-reported information on CVD events and diabetes in 1997/99.

Results

The correlation between CUN-BAE and BF% (r=0.88) was stronger than between BMI and BF% (r=0.56). In sex-stratified analyses, CUN-BAE and BMI correlated similarly with BF% in men (r=0.77 and r=0.76, respectively) and women (r=0.82 and r=0.81, respectively). In longitudinal analyses, the odds ratio (per 1 SD increase) of CVD and type 2 diabetes was higher for BMI (OR_CVD =1.23 [95% CI: 1.11–1.36]; OR_diabetes =2.11 [1.82–2.45]) than for CUN-BAE (OR_CVD =1.15 [1.04–1.27]; OR_diabetes =2.06 [1.72–2.47]) in the total population. In sex-stratified analyses, CUN-BAE showed higher CVD and diabetes risk than BMI: in men BMI OR_CVD =1.22 (1.04–1.44), OR_diabetes =2.13 (1.64–2.83); CUN-BAE OR_CVD =1.93 (1.54–2.43), OR_diabetes =4.33 (2.80–6.71); and in women BMI OR_CVD =1.22 (1.07–1.39), OR_diabetes =2.11 (1.76–2.53); CUN-BAE OR_CVD =2.06 (1.69–2.51), OR_diabetes =5.45 (3.87–7.67).

Conclusion

CUN-BAE is more strongly associated with future risk of type 2 diabetes and CVD compared with BMI in analysis stratified by sex. As a measure of adiposity in men and women separately, CUN-BAE has no advantage over BMI, except when the value of estimated BF% itself is of interest.

Comparison of body mass index (BMI) with the CUN-BAE body adiposity estimator in the prediction of hypertension and type 2 diabetes

Background

Obesity is a world-wide epidemic whose prevalence is underestimated by BMI measurements, but CUN-BAE (Clínica Universidad de Navarra - Body Adiposity Estimator) estimates the percentage of body fat (BF) while incorporating information on sex and age, thus giving a better match. Our aim is to compare the BMI and CUN-BAE in determining the population attributable fraction (AFp) for obesity as a cause of chronic diseases.

Methods

We calculated the Pearson correlation coefficient between BMI and CUN-BAE, the Kappa index and the internal validity of the BMI. The risks of arterial hypertension (AHT) and diabetes mellitus (DM) and the AFp for obesity were assessed using both the BMI and CUN-BAE.

Results

3888 white subjects were investigated. The overall correlation between BMI and CUN-BAE was R² = 0.48, which improved when sex and age were taken into account (R² > 0.90). The Kappa coefficient for diagnosis of obesity was low (28.7 %). The AFp was 50 % higher for DM and double for AHT when CUN-BAE was used.

Conclusions

The overall correlation between BMI and CUN-BAE was not good. The AFp of obesity for AHT and DM may be underestimated if assessed using the BMI, as may the prevalence of obesity when estimated from the percentage of BF.