Association of Body Shape Index (ABSI) with cardio-metabolic risk factors: A cross-sectional study of 6081 Caucasian adults

Bertoli, Simona; Krakauer, Nir Y.; Bedogni, Giorgio; Vanzulli, Angelo; Redaelli, Valentino Ippocrates; Amicis, Ramona De; Vignati, Laila; Krakauer, Jesse C.; Battezzati, Alberto

doi:10.1371/journal.pone.0185013

Cited by 82 publications

(72 citation statements)

References 35 publications

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“…Also, in patients with type 2 diabetes mellitus, ABSI is positively associated with visceral fat [54]. It is suggested, contrary to waist circumference ABSI is a much useful index to evaluate the relative contribution of central obesity to clinical outcomes [52]. This was not consistent with our results where ABSI correlated negatively with subcutaneous and visceral fat matter.…”

Section: Discussioncontrasting

confidence: 85%

“…However, on divergent lines, some studies have proposed ABSI to predict CVD and mortality risks and thence holding potential for getting employed into clinical realm along with or in place of waist circumference and BMI [50] [51]. Journal of Biosciences and Medicines Study undertaken by Bertoli et al [52] confirms ABSI to be directly associated with visceral adiposity, thus formulating it to be another surrogate measure of abdominal adiposity, other than waist circumference. Body compositional studies have deduced ABSI to be positively associated with fat mass and negatively associated with fat-free mass [53].…”

Section: Discussionmentioning

confidence: 99%

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Anthropometric Markers as a Paradigm for Obesity Risk Assessment

Mangla¹,

Dhamija²,

Gupta³

et al. 2020

JBM

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Background: Quantification of obesity/adiposity is feasible with different anthropometric characteristics along with the bioelectrical impedance analysis techniques. Recent advancements are now witnessing development of further computations derived from previously established measures to gauge obesity. Objective: Main aim of our study was to evaluate the association of anthropometric determinants of obesity with body compositional adiposity variables, and thus identifying the best marker among them emerging out as the probable predictor for compositional adiposity. Participants and Setting: 550 female participants within the age of 18 to 23 years were enrolled under this study attending graduation course at University of Delhi. Ethical clearance was received from the institutional head. Informed written consent was taken from every participant. Design: All the body measurements were recorded by trained staff using standard techniques. Derived measurements were calculated further. Analysis: Data, hence, gathered was undertaken for descriptive and inferential statistical analysis with SPSS 20.0. Variables Measured and Results: WHR overestimated the count for those at risk compared to waist circumference and WHtR. Skeletal muscle fat associated negatively with all anthropometric adiposity indicators. BMI, BAI, WHtR and waist circumference related closely with all body composition cum obesity markers compared to WHR, CI and ABSI. BAI overrated the risk for fat determining body composition parameters the most followed by BMI. ABSI revealed an underestimated risk for augmenting fat content in body, compared to other markers. Conclusion and Implications: It is difficult to establish with compliance as to which of the measures used in the study could better predict the perils of obesity but it could be ascertained that some of the newly verified anthropometric adiposity indicators could be administered for determining clinical situations after further validation.

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Section: Discussioncontrasting

confidence: 85%

Section: Discussionmentioning

confidence: 99%

Anthropometric Markers as a Paradigm for Obesity Risk Assessment

Mangla¹,

Dhamija²,

Gupta³

et al. 2020

JBM

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“…Another limitation is that abdominal fat was not measured by a gold standard method, such as computed tomography scans or magnetic resonance imaging, but using ultrasonography. However, all ultrasound measurements were taken by the same physician, who has an extended experience in the use of ultrasonography [5,10,25]; furthermore, evidence has shown a good correlation between this field method versus the gold standards [25]. Lastly, the cross-sectional design does not permit identification of cause and effect or temporality of association.…”

Section: Discussionmentioning

confidence: 99%

“…Visceral abdominal (VAT) and subcutaneous abdominal fat tissue (SAT) [4] are the main components of abdominal fat. VAT is independently associated with insulin resistance, type 2 diabetes, abnormal lipid profile, hypertension, cardiovascular disease, colorectal cancer, and cognitive impairment [3,5,6], while the debate regarding the effect of subcutaneous adipose tissue (SAT) on metabolic risk is still open [4,6]. Widely accepted methods for measuring abdominal adipose tissue are computed tomography scans and magnetic resonance imaging [7]; however, due to their cost and exposure to radiation, they are not frequently used.…”

Section: Introductionmentioning

confidence: 99%

Is Abdominal Fat Distribution Associated with Chronotype in Adults Independently of Lifestyle Factors?

et al. 2020

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Both abdominal obesity and its visceral component are independently associated with cardiometabolic diseases. Among the non-modifiable and modifiable determinants, lifestyle plays a central role, while chronotype is an emerging factor. Evening type (E-Type), more active and efficient in the last part of the day, has been associated with a health-impairing style, resulting in a higher risk of obesity and cardiometabolic diseases than morning type (M-Type). However, no study has examined the contribution of chronotype to abdominal fat distribution, even considering adherence to the Mediterranean diet (MD). We conducted a cross-sectional study on 416 adults (69.5% females, 50 ± 13 years). Waist circumference (WC), visceral fat (VAT) using ultrasonography, chronotype through the reduced Morningness-Eveningness Questionnaire (rMEQ), and adherence to MD were studied. Our results showed no differences in WC and VAT between chronotypes. However, adherence to MD resulted significantly lower in the E-Types compared to M-Types. WC decreased with increasing Mediterranean score and rMEQ score, and VAT decreased with increasing rMEQ score, indicating that E-Types have +2 cm of WC and +0.5 cm of VAT compared to M-Types. In conclusion, these results showed that chronotype is independently associated with abdominal obesity and visceral fat, underlining the potential implications of the individual circadian typology on abdominal obesity.

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“…Considering that previous studies have shown that abdominal fat is associated with cardiovascular risk, even in children and adolescents, an index like ABSI, which expresses WC relative to height and weight, can potentially be a complementary predictor of cardiovascular risk alongside BMI [ 19 – 21 ]. A study of an adult population recently showed that ABSI was associated with several components of the metabolic syndrome [ 22 ].…”

Section: Introductionmentioning

confidence: 99%

The association between a body shape index and cardiovascular risk in overweight and obese children and adolescents

Mameli

Krakauer

Krakauer³

et al. 2018

PLoS ONE

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A Body Shape Index (ABSI) and normalized hip circumference (Hip Index, HI) have been recently shown to be strong risk factors for mortality and for cardiovascular disease in adults. We conducted an observational cross-sectional study to evaluate the relationship between ABSI, HI and cardiometabolic risk factors and obesity-related comorbidities in overweight and obese children and adolescents aged 2–18 years. We performed multivariate linear and logistic regression analyses with BMI, ABSI, and HI age and sex normalized z scores as predictors to examine the association with cardiometabolic risk markers (systolic and diastolic blood pressure, fasting glucose and insulin, total cholesterol and its components, transaminases, fat mass % detected by bioelectrical impedance analysis) and obesity-related conditions (including hepatic steatosis and metabolic syndrome). We recruited 217 patients (114 males), mean age 11.3 years. Multivariate linear regression showed a significant association of ABSI z score with 10 out of 15 risk markers expressed as continuous variables, while BMI z score showed a significant correlation with 9 and HI only with 1. In multivariate logistic regression to predict occurrence of obesity-related conditions and above-threshold values of risk factors, BMI z score was significantly correlated to 7 out of 12, ABSI to 5, and HI to 1. Overall, ABSI is an independent anthropometric index that was significantly associated with cardiometabolic risk markers in a pediatric population affected by overweight and obesity.

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Association of Body Shape Index (ABSI) with cardio-metabolic risk factors: A cross-sectional study of 6081 Caucasian adults

Cited by 82 publications

References 35 publications

Anthropometric Markers as a Paradigm for Obesity Risk Assessment

Anthropometric Markers as a Paradigm for Obesity Risk Assessment

Is Abdominal Fat Distribution Associated with Chronotype in Adults Independently of Lifestyle Factors?

The association between a body shape index and cardiovascular risk in overweight and obese children and adolescents

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