Association of the body adiposity index (BAI) with metabolic risk factors in young and older overweight and obese women

Siervo, Mario; Prado, Carla M.; Stephan, Blossom Christa Maree; Lara, José; Muscariello, Espedita; Nasti, Gilda; Colantuoni, Antonio

doi:10.1007/s40519-013-0077-0

Cited by 5 publications

(5 citation statements)

References 12 publications

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“…The BAI had the highest specificity value, thus being able to identify subjects without MetS more precisely, but had an extremely low sensitivity. These results are consistent with those already reported in other studies, where the BAI index was less accurate for the diagnosis of MetS [26,[58][59][60].…”

Section: Discussionsupporting

confidence: 93%

“…For these reasons, the present study was aimed at assessing the accuracy of different indexes of metabolic and adiposity dysfunction (the BAI, the LAP, and the CMI) in identifying MetS [21][22][23][24][25][26][27][28][29] in a large cohort (no. 1912) of adult subjects with obesity.…”

Section: Discussionmentioning

confidence: 99%

“…It is calculated using waist circumference, as an indicator of visceral adiposity, and fasting circulating triglyceride levels, which are the esterified, long-chain fatty acids that circulate through the blood and are contained stably inside lipoproteins [21]. Both these indexes have been suggested as early markers of metabolic dysfunction and seem to have greater clinical utility than the BMI in predicting metabolic disorders, including MetS and T2DM, in both individuals of different ethnicities who have obesity or have a normal weight [21,[23][24][25][26][27][28][29]. The LAP is considered to be a clinically useful marker for the estimation of insulin resistance and cardiometabolic risk, being also associated with NAFLD and arterial stiffness.…”

Section: Introductionmentioning

confidence: 99%

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The Lipid Accumulation Product Index (LAP) and the Cardiometabolic Index (CMI) Are Useful for Predicting the Presence and Severity of Metabolic Syndrome in Adult Patients with Obesity

Tamini,

Bondesan,

Caroli

et al. 2024

JCM

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Background: The concomitant occurrence of obesity and metabolic syndrome (MetS) causes a significant worsening of a patient’s clinical condition. Indexes that employ anthropometric measurements alone or associated with blood parameters have been investigated for their ability to identify MetS. This study aimed to evaluate the diagnostic accuracy of three of these indexes, the body adiposity index (BAI), the lipid accumulation product index (LAP), and the cardiometabolic index (CMI), in a cohort of 1912 adult subjects with obesity. Methods and Results: MetS was found in 62.3% of the enrolled subjects, with a higher prevalence in males (72.5%) than females (60.9%). Receiver operating characteristic (ROC) analysis was used to define which index performed better. The BAI was found to be the lowest-performing index, with an ROC area of 0.50, a sensitivity of 30.31%, a specificity of 74.48%, and a likelihood ratio of 1.19. On the contrary, the LAP and the CMI showed a comparable ROC area of 0.82. The LAP had a sensitivity of 63.06%, a specificity of 86.55%, and a likelihood ratio of 4.69, while the CMI had a sensitivity of 67.59%, specificity of 81.55%, and a likelihood ratio of 3.66. The analysis was also performed in the group divided into males and females, with overlapping results. Conclusions: The LAP and the CMI performed better than the BAI in detecting MetS both in the general population with obesity and in the male/female subgroups. In the future, it will be important to validate these useful diagnostic tools in order to employ them in clinical practices.

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Section: Discussionsupporting

confidence: 93%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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The Lipid Accumulation Product Index (LAP) and the Cardiometabolic Index (CMI) Are Useful for Predicting the Presence and Severity of Metabolic Syndrome in Adult Patients with Obesity

Tamini,

Bondesan,

Caroli

et al. 2024

JCM

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“…However, BAI has not been shown to be valid for other populations, for instance, Buryat men and women living in China (Zhao et al, ), a general population of China (Zhang et al, ), a European population in Norway (Vinknes et al, ), young and older overweight and obese women (Siervo et al, ), Brazilian women (Cerqueira et al, ) and children (El Aarbaoui et al, ). An example of the unsupported validity of the BAI for predicting BF% is the study on 1,707 females and 680 males aged 51–77 from China (Zhang et al, ).…”

Section: Introductionmentioning

confidence: 99%

Predictive validity of the body adiposity index in costa rican students

Carpio-Rivera

Hernández-Elizondo

Salicetti-Fonseca

et al. 2015

American J Hum Biol

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Objective: To verify the validity of the body adiposity index (BAI) in a sample of Costa Rican students. Methods: Volunteers were 93 females (mean age 5 18.6 6 2.4 years) and 106 males (mean age 5 19.2 6 2.8 years). Dual-energy X-ray absorptiometry (DXA) was used as the "gold standard" to determine body fat percentage (BF%). Pearson's correlation coefficient and paired samples t-test studied the association and mean differences between BAI and DXA BF%. Concordance between BAI and DXA BF% was determined by the Lin's concordance correlation coefficient and the Bland-Altman agreement analysis.Results: Significant correlations between BAI and DXA BF% were found for females (r 5 0.74) and males (r 5 0.53) (P < 0.001). Differences between methods were found for females (BAI 5 29.3 6 4.1% vs. DXA 5 36.5 6 7.9%) and males (BAI 5 24.8 6 3.7% vs. DXA 5 21.9 6 8.6%; P < 0.001). Concordance was poor in females and males. Bland-Altman plots showed BAI underestimating and overestimating BF% in relation to the "gold standard" in females and males, respectively.Conclusions: BAI presented low agreement with BF% measured by DXA; therefore, BAI is not recommended for BF% prediction in this Central American sample studied. Am. J. Hum. Biol. 28:394-397, 2016.

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“…This may suggest the need to validate field methods commonly used in this environment with other laboratory tests. The reasons for the discrepancy between BAI and BIA are not clear, but as the BAI quantifies adiposity based on height-adjusted hip circumference, differences in the distribution of body fat may be reflected in BAI [ 38 ]. Regarding the difference between genders, females have higher levels of body fat than males and their BF% is differently distributed [ 25 ], whilst males tend to be taller [ 25 ].…”

Section: Discussionmentioning

confidence: 99%

Body Adiposity Index Performance in Estimating Body Fat Percentage in Colombian College Students: Findings from the FUPRECOL—Adults Study

et al. 2017

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Recently, a body adiposity index (BAI = (hip circumference)/((height)(1.5))−18) was developed and validated in adult populations. The aim of this study was to evaluate the performance of BAI in estimating percentage body fat (BF%) in a sample of Colombian collegiate young adults. The participants were comprised of 903 volunteers (52% females, mean age = 21.4 years ± 3.3). We used the Lin’s concordance correlation coefficient, linear regression, Bland–Altman’s agreement analysis, concordance correlation coefficient (ρc) and the coefficient of determination (R2) between BAI, and BF%; by bioelectrical impedance analysis (BIA)). The correlation between the two methods of estimating BF% was R2 = 0.384, p < 0.001. A paired-sample t-test showed a difference between the methods (BIA BF% = 16.2 ± 3.1, BAI BF% = 30.0 ± 5.4%; p < 0.001). For BIA, bias value was 6.0 ± 6.2 BF% (95% confidence interval (CI) = −6.0 to 18.2), indicating that the BAI method overestimated BF% relative to the reference method. Lin’s concordance correlation coefficient was poor (ρc = 0.014, 95% CI = −0.124 to 0.135; p = 0.414). In Colombian college students, there was poor agreement between BAI- and BIA-based estimates of BF%, and so BAI is not accurate in people with low or high body fat percentage levels.

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Association of the body adiposity index (BAI) with metabolic risk factors in young and older overweight and obese women

Abstract: BAI validity needs to be re-assessed in older individuals for better definition of its predictive accuracy.

Cited by 5 publications

References 12 publications

The Lipid Accumulation Product Index (LAP) and the Cardiometabolic Index (CMI) Are Useful for Predicting the Presence and Severity of Metabolic Syndrome in Adult Patients with Obesity

The Lipid Accumulation Product Index (LAP) and the Cardiometabolic Index (CMI) Are Useful for Predicting the Presence and Severity of Metabolic Syndrome in Adult Patients with Obesity

Predictive validity of the body adiposity index in costa rican students

Body Adiposity Index Performance in Estimating Body Fat Percentage in Colombian College Students: Findings from the FUPRECOL—Adults Study

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