Validity of body adiposity index in predicting body fat in Brazilians adults

Segheto, Wellington; Silva, Danielle Cristina Guimarães da; Hallal, Pedro Curi; Marins, João Carlos Bouzas; Ribeiro, Andréia Queiróz; Pessoa, Milene Cristine; Morais, Sílvia Helena Oliveira; Longo, Giana Zarbato

doi:10.1002/ajhb.22901

Cited by 23 publications

(27 citation statements)

References 39 publications

(65 reference statements)

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“…Emerging observational studies using BAI with overweight/obese adults yielded inconclusive results—with some criticizing the accuracy of BAI [15,16,17,18,19,20]. Thus, in light of these discrepancies (and given the high prevalence of excess adiposity in the Colombian population), in order to clarify the validity of BAI in predicting BF% among overweight and obese adults, we will conduct a cross-sectional study to evaluate the validity of BAI in a Latin American population.…”

Section: Methodsmentioning

confidence: 99%

“…Recently, validation and accuracy studies carried out in Costa Rica [15] and Brazil [16] included 199 college students (mean age, 18.1 ± 2.6 years) and 706 healthy adults (mean age, 37.3 ± 12.1 years), respectively. The results showed that BAI is not recommended for BF% prediction among Latinos [15,16].…”

Section: Introductionmentioning

confidence: 99%

“…The results showed that BAI is not recommended for BF% prediction among Latinos [15,16]. Given the risk of over-nutrition in developing countries, it is necessary to measure its prevalence in vulnerable populations such as Latin-American people to identify high-risk groups and develop preventive interventions [7,17].…”

Section: Introductionmentioning

confidence: 99%

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Predictive Validity of the Body Adiposity Index in Overweight and Obese Adults Using Dual-Energy X-ray Absorptiometry

et al. 2016

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The body adiposity index (BAI) is a recent anthropometric measure proven to be valid in predicting body fat percentage (BF%) in some populations. However, the results have been inconsistent across populations. This study was designed to verify the validity of BAI in predicting BF% in a sample of overweight/obese adults, using dual-energy X-ray absorptiometry (DEXA) as the reference method. A cross-sectional study was conducted in 48 participants (54% women, mean age 41.0 ± 7.3 years old). DEXA was used as the “gold standard” to determine BF%. Pearson’s correlation coefficient was used to evaluate the association between BAI and BF%, as assessed by DEXA. A paired sample t-test was used to test differences in mean BF% obtained with BAI and DEXA methods. To evaluate the concordance between BF% as measured by DEXA and as estimated by BAI, we used Lin’s concordance correlation coefficient and Bland–Altman agreement analysis. The correlation between BF% obtained by DEXA and that estimated by BAI was r = 0.844, p < 0.001. Paired t-test showed a significant mean difference in BF% between methods (BAI = 33.3 ± 6.2 vs. DEXA 39.0 ± 6.1; p < 0.001). The bias of the BAI was −6.0 ± 3.0 BF% (95% CI = −12.0 to 1.0), indicating that the BAI method significantly underestimated the BF% compared to the reference method. Lin’s concordance correlation coefficient was considered stronger (ρc = 0.923, 95% CI = 0.862 to 0.957). In obese adults, BAI presented low agreement with BF% measured by DEXA; therefore, BAI is not recommended for BF% prediction in this overweight/obese sample studied.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Predictive Validity of the Body Adiposity Index in Overweight and Obese Adults Using Dual-Energy X-ray Absorptiometry

et al. 2016

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“…Since their high standard equivalents require expensive and special devices (Bergman et al 2011) they are vastly preferred by scientists to estimate the level of adiposity. A vast number of previous studies have documented the use of AIs in predicting the body adiposity evaluated via reference methods (Revicki and Israel 1986;Gallagher et al 1996;Taylor et al 2000;Neovius et al 2005;Ketel et al 2007;Völgyi et al 2008;Flegal et al 2009;Bergman et al 2011;Lambert et al 2012;Thomas et al 2013;Segheto et al 2017). Nonetheless, current literature presents limited evidence on the relation between these methods and other predictive techniques among different samples.…”

Section: Introductionmentioning

confidence: 88%

Associations between anthropometric indicators of adiposity and body fat percentage in normal weight young adults

Söğüt

Altunsoy

Varela‐Silva

2018

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The purpose of this cross-sectional study was to determine the associations between various anthropometric adiposity screening indices and body fat percentage estimated by bioelectrical impedance analysis (BIA). A total of 186 (95 male and 91 female) normal weight (body mass index [BMI] = 18.5-24.9 kg/m2) young adults (mean age= 20.96 ± 2.03 years) were measured on body fat percentage, body height, body mass, waist and hip circumferences. Abdominal volume index, body adiposity index, BMI, body roundness index, conicity index, reciprocal ponderal index, waist to height ratio, waist to height 0.5 ratio, and waist to hip ratio were calculated accordingly. Results revealed significant gender effects in all main anthropometric measurements. Except for waist to hip ratio, results indicated significant associations between anthropometric indices and BIA in both male and female participants. BIA results were found to be largely associated with BMI and abdominal volume index in both genders. BlandAltman analysis showed good agreements between these indices and BIA. Considerable associations and agreements highlight the potential importance and the use of several anthropometric proxies to estimate body adiposity among male and female non-overweight/obese young adults. Despite continuing discussion regarding its accuracy, BMI seems to be useful for monitoring body adiposity within this cohort.

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“…Caliper measured skinfold fat in three areas (arm, super iliac, and thigh). Then, the subcutaneous fat was calculated by the Jackson-Pollock body fat percent formula (24).…”

Section: Methodsmentioning

confidence: 99%

Effects of Concurrent Strength and Aerobic Training on Blood Glucose Homeostasis and Lipid Profile in Females with Overweight and Obesity

Shabani

Jalali

Nazari

2018

Zahedan J Res Med Sci

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Background: Physical activity is recognized as a basic component of the management of children with obesity. Objectives: The current study aimed at exploring the effect of a 12-week concurrent strength and aerobic training on body composition, glycosylated hemoglobin, fasting blood sugar (FBS), homeostasis model assessment-estimated insulin resistance (HOMA-IR), plasma insulin, high-density lipoprotein (HDL), low-density lipoprotein (LDL), total cholesterol (TC), and triglyceride (TG) between the females with overweight and obesity. Methods: The current semi-experimental study was conducted on 40 females (20 with obesity and 20 with overweight) aged 13 -15 years selected and randomly assigned into four groups. Strength training was performed three days a week each session for 30 minutes at 50% to 80% of 1 repetition maximum (1RM), and aerobic training started from 50% and progressively reached 80% of maximum heart rate. Blood samples and anthropometric parameters were measured before and after practice. Data were analyzed by covariance. P < 0.05 was considered the significance level. Results: Significant changes were observed in body mass index (BMI), weight, body fat percentage (%BF), and skinfold fat after the intervention (P < 0.05). But, no significant changes occurred in FBS, glycosylated hemoglobin, HOMA-IR, plasma insulin, HDL, LDL, TC, and TG (P > 0.05). Conclusions:The current study suggested that concurrent strength and aerobic training can improve body composition of females with overweight and obesity, and normal blood lipid and glucose hemostasis. However, it did not affect glucose hemostasis and lipid profile.

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Validity of body adiposity index in predicting body fat in Brazilians adults

Abstract: It was found that BAI does not replace other measurements of body fat, but compared with more complex methods can be an alternative for estimating the body fat in the absence of these methods.

Cited by 23 publications

References 39 publications

Predictive Validity of the Body Adiposity Index in Overweight and Obese Adults Using Dual-Energy X-ray Absorptiometry

Predictive Validity of the Body Adiposity Index in Overweight and Obese Adults Using Dual-Energy X-ray Absorptiometry

Associations between anthropometric indicators of adiposity and body fat percentage in normal weight young adults

Effects of Concurrent Strength and Aerobic Training on Blood Glucose Homeostasis and Lipid Profile in Females with Overweight and Obesity

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