Relationship between the body adiposity index and cardiometabolic risk factors in obese postmenopausal women

Because of its strong association (r 0·85) with percentage of body fat determined by dual-energy X-ray absorptiometry, hip circumference divided by height1·5 (the body adiposity index) has recently been proposed as an index of body fatness among adults. We examined whether this proposed index was more strongly associated with skinfold thicknesses and levels of CVD risk factors (lipids, fasting insulin and glucose, and blood pressure) than was BMI among 2369 18- to 49-year-olds in the Bogalusa Heart Study. All analyses indicated that the body adiposity index was less strongly associated with skinfold thicknesses and CVD risk factors than was either waist circumference or BMI. Correlations with the skinfold sum, for example, were r 0·81 (BMI) v.r 0·75 (body adiposity index) among men, and r 0·87 (BMI) v.r 0·80 among women; P< 0·001 for both differences. An overall index of seven CVD risk factors was also more strongly associated with BMI (r 0·58) and waist circumference (r 0·61) than with the body adiposity index (r 0·49). The weaker associations with the body adiposity index were observed in analyses stratified by sex, race, age and year of examination. Multivariable analyses indicated that if either BMI or waist circumference were known, the body adiposity index provided no additional information on skinfold thicknesses or risk factor levels. These findings indicate that the body adiposity index is likely to be an inferior index of adiposity than is either BMI or waist circumference.

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

Eating and Weight Disorders - Studies on Anorexia Bulimia and Obesity ◽

10.1007/s40519-013-0077-0 ◽

2013 ◽

Vol 19 (3) ◽

pp. 397-402 ◽

Cited By ~ 3

Author(s):

Mario Siervo ◽

C. M. Prado ◽

B. C. Stephan ◽

J. Lara ◽

E. Muscariello ◽

...

Keyword(s):

Risk Factors ◽

The Body ◽

Metabolic Risk Factors ◽

Metabolic Risk ◽

Obese Women ◽

Body Adiposity Index ◽

Adiposity Index ◽

Body Adiposity

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

Proceedings of The Nutrition Society ◽

10.1017/s002966511300298x ◽

2013 ◽

Vol 72 (OCE4) ◽

Author(s):

M. Siervo ◽

J. Lara ◽

C. M. Prado ◽

B. C. M. Stephan ◽

A. Colantuoni

Keyword(s):

Risk Factors ◽

The Body ◽

Metabolic Risk Factors ◽

Metabolic Risk ◽

Obese Women ◽

Body Adiposity Index ◽

Adiposity Index ◽

Body Adiposity

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Agreement of body adiposity index (BAI) and paediatric body adiposity index (BAIp) in determining body fat in Brazilian children and adolescents

Public Health Nutrition ◽

10.1017/s1368980018002458 ◽

2018 ◽

Vol 22 (1) ◽

pp. 132-139

Author(s):

Mariana De Santis Filgueiras ◽

Roberta Stofeles Cecon ◽

Eliane Rodrigues de Faria ◽

Franciane Rocha de Faria ◽

Patrícia Feliciano Pereira ◽

...

Keyword(s):

Children And Adolescents ◽

Body Fat ◽

Operating Characteristic ◽

Characteristic Curve ◽

The Body ◽

Body Adiposity Index ◽

Adiposity Index ◽

Body Adiposity ◽

Operating Characteristic Curve ◽

Brazilian Children

AbstractObjectiveTo evaluate agreement of the body adiposity index (BAI) and paediatric body adiposity index (BAIp) in estimating body fat compared with dual-energy X-ray absorptiometry (DXA) and to propose cut-off points for these indices to classify excess adiposity in Brazilian children and adolescents.DesignCross-sectional study. Measures of weight, height, hip circumference, BMI and body fat percentage (%BF) assessed by DXA were taken, and BAI and BAIp were calculated. The Bland–Altman plot was used to estimate agreement between the methods, and the receiver-operating characteristic curve to determine the cut-off points for BAI and BAIp per age and sex in comparison with DXA.SettingViçosa, Minas Gerais, Brazil.SubjectsChildren and adolescents aged 8–19 years (n 1049).ResultsOf the children and adolescents, 52·4 % were girls. BAI and BAIp had satisfactory performance by the receiver-operating characteristic curve, except for the 18–19 years age group, whose BAIp had better predictive capacity than BAI. The agreement analysis showed that BAI overestimated %BF by 2·64 %, on average, using DXA; while BAIp underestimated %BF by 3·37 %.ConclusionsBAI and BAIp showed low agreement with the body fat obtained by DXA, requiring caution when interpreting body composition data in children and adolescents.

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Effects of Extreme Weight Loss on Cardiometabolic Health in Children With Metabolic Syndrome: A Metabolomic Study

Frontiers in Physiology ◽

10.3389/fphys.2021.731762 ◽

2021 ◽

Vol 12 ◽

Author(s):

Jingxin Liu ◽

Lin Zhu ◽

Jing Liao ◽

Xiaoguang Liu

Keyword(s):

Risk Factors ◽

Metabolic Syndrome ◽

Weight Loss ◽

Body Composition ◽

Organic Acids ◽

Cardiometabolic Risk ◽

The Body ◽

Cardiometabolic Risk Factors ◽

Plasma Metabolites ◽

Cardiometabolic Health

Objectives: To evaluate the effect of extreme weight loss programs on circulating metabolites and their relationship with cardiometabolic health in children with metabolic syndrome.Methods: This study was a quasi-experimental design with a pretest and post-test. Thirty children with metabolic syndrome and aged 10–17years were recruited to an extreme weight loss program (i.e., exercise combined with diet control). The primary outcomes included plasma metabolites, body composition, and cardiometabolic risk factors. A total of 324 metabolites were quantitatively detected by an ultra-performance liquid chromatography coupled to tandem mass spectrometry system, and the variable importance in the projection (VIP) value of each metabolite was calculated by the orthogonal projection to latent structures discriminant analysis. The fold change (FC) and p value of each metabolite were used to screen differential metabolites with the following values: VIP>1, p value<0.05, and |log2FC|>0.25. Pathway enrichment and correlation analyses between metabolites and cardiometabolic risk factors were also performed.Result: A large effect size was observed, presenting a weight loss of −8.9kg (Cohen’s d=1.00, p<0.001), body mass index reduction of −3.3kg/m2 (Cohen’s d=1.47, p<0.001), and body fat percent reduction of −4.1 (%) (Cohen’s d=1.22, p<0.001) after the intervention. Similar improvements were found in total cholesterol (Cohen’s d=2.65, p<0.001), triglycerides (Cohen’s d=2.59, p<0.001), low-density lipoprotein cholesterol (Cohen’s d=2.81, p<0.001), glucose metabolism, and blood pressure. A total of 59 metabolites were changed after the intervention (e.g., aminoacyl-tRNA biosynthesis, glycine, serine, and threonine metabolism; nitrogen metabolism, tricarboxylic acid cycle, and phenylalanine, tyrosine, and tryptophan biosynthesis). The changes in metabolites (e.g., amino acids, fatty acids, organic acids, and carnitine) were related to lipid metabolism improvement (p<0.05). Organic acids and carnitines were associated with changes in the body composition (p<0.05).Conclusion: Exercise combined with dietary control improved the body composition and cardiometabolic health in children with metabolic syndrome, and these changes may be related to plasma metabolites.

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