Body adiposity index and other indexes of body composition in the SAPHIR study: association with cardiovascular risk factors.
The accuracy of anthropometric surrogate markers such as the body adiposity index (BAI) and other common indexes like the body mass index (BMI), waist-to-hip ratio (WHR) and waist-to-height ratio (WHtR) to predict metabolic sequelae is essential for its use in clinical practice.
Thus, we evaluated the strength of BAI and other indexes to relate with anthropometric parameters, adipocytokines, blood lipids, parameters of glucose-homeostasis and blood pressure in 1,770 patients from the Salzburg Atherosclerosis Prevention Program in Subjects at High Individual Risk (SAPHIR) study in a crosssectional design. Measurements were BAI, BMI, WHR, WHtR, abdominal subcutaneous and visceral adipose tissue (aSAT and VAT), total body adipose tissue mass, body weight, waist- and hip circumference (WC and HC), leptin, adiponectin, high-density lipoprotein-cholesterol (HDL-C), low-density lipoprotein-cholesterol (LDL-C), triglycerides (TG), fasting plasma glucose, fasting plasma insulin, the homeostasis model assessment of insulin resistance (HOMAIR), systolic and diastolic blood pressure.
BAI was significantly associated with leptin and HC. We conclude that BAI was the best calculator for leptin. BAI was inferior to BMI to predict anthropometric parameters other than HC, adiponectin, blood lipids, parameters of glucose homeostasis, and blood pressure in this cross-sectional study.
Melmer A
，Lamina C
，Tschoner A
，Ress C
，Kaser S
，Laimer M
，Sandhofer A
，Paulweber B
，Ebenbichler CF
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Neck circumference: a useful screening tool of cardiovascular risk in children.
Early identification of cardiovascular risk factors consists an essential target for public health. The current study aims to examine the association between neck circumference and several cardiovascular risk factors and to compare it with well-established anthropometric indices.
Demographic, anthropometric (body weight and height, waist, hip and neck circumference [WC, HC and NC, respectively]), biochemical (total cholesterol, high-density lipoprotein [HDL] cholesterol, low-density lipoprotein [LDL] cholesterol, triglycerides [TG], fasting plasma glucose and serum insulin), clinical (pubertal stage, systolic and diastolic blood pressure [SBP and DBP, respectively]) and lifestyle (dietary intake, physical activity level) data were collected from 324 children (51.5% boys; 48.5% girls) aged 9-13 in Greece. Body mass index z-score (BMI z-score), waist-to-hip ratio (WHR), waist-to-height ratio (WHtR), homeostasis model assessment (HOMA-IR), quantitative insulin sensitivity check index (QUICKI) and fasting glucose to insulin ratio (FGIR) were calculated.
All indices (BMI z-score, NC, WC, HC, WHR and WHtR) were correlated with SBP, HDL and insulin-related indices (insulin, HOMA-IR, QUICKI and FGIR) and all indices except WHR with TG. LDL was correlated with BMI z-score, WC, WHR and WHtR, whereas DBP was correlated with BMI z-score, WC, HC and WHtR. In multivariate analysis, HDL, TG, SBP, insulin, HOMA-IR, QUICKI and FGIR were associated with all anthropometric indices; DBP with WC, HC, NC and WHtR; LDL with BMI z-score, WC, HC and WHtR.
NC is associated with most cardiovascular disease risk factors. These associations are comparable with those observed for BMI z-score, WC, HC, WHR and WHtR. NC could be a simple, alternative screening tool of cardiovascular risk in children.
Androutsos O
，Grammatikaki E
，Moschonis G
，Roma-Giannikou E
，Chrousos GP
，Manios Y
，Kanaka-Gantenbein C
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《Pediatric Obesity》
Visceral Adiposity Measurements, Metabolic and Inflammatory Profi le in Obese Patients with and Without Type 2 Diabetes Mellitus: A Crosssectional Analysis.
Waist circumference does not distinguish subcutaneous from visceral adipose tissue, which is highly associated with impaired cardiometabolic profile and type-2 diabetes mellitus (T2DM). Because of the complexity of the assessment of visceral fat with imaging techniques, easy-to-apply and low-cost anthropometric measures have been proposed. The aim of the study was to show a possible association between Lipid Accumulation Product Index (LAP Index), Deep-abdominal adiposity tissue Index (DAAT) and Visceral Adiposity Index (VAI) with metabolic profile and adipokines in obese subjects with and without T2DM, and to compare the results with the use of waist circumference isolated.
In this cross-sectional study, we enrolled 101 outpatients with obesity (BMI ≥ 30 kg/m2) of which 48% with diabetes and aged 48.9 ±13.3 years. Demographic, clinical and anthropometric data were collected. Plasma C-reactive protein, interleukin-6, vascular adhesion molecule type 1 and adiponectin levels, lipid profile and fasting glucose were assessed. LAP Index, DAAT and VAI were calculated and body composition was evaluated by bioelectric impedance analyses. Continuous variables were described as mean ±standard deviation, and categorical variables as absolute numbers and percentages. Nonparametric data were log-transformed and Student's t test, Wilcoxon-Mann-Whitney and chi-squared test, Pearson correlation and multiple linear regression were used for statistical analyses.
In total, 31 men and 70 women were evaluated. Individuals with T2DM showed higher LAP values and percentage of body fat and lower waist circumference and BMI values. DAAT and LAP were positively correlated with BMI, waist circumference, percentage of body fat and free fat mass. After adjustment for age, sex and total body fat, both LAP Index and VAI were associated with plasma adiponectin, LDL-cholesterol, non-HDL cholesterol and VLDL-cholesterol in obese with and without T2DM (all P values ≤ 0.02); fasting glucose remained associated with LAP in obese patients without T2DM (P= 0.01). Waist circumference only correlated with adiponectin in obese subjects without T2DM (P= 0.048).
Our data suggest that VAI and LAP Index are good predictors of an impaired cardiometabolic setting in obesity regardless of T2DM status. Besides, we were not able to find associations with waist circumference and biochemical markers in our sample.
Wanderley Rocha DR
，Jorge AR
，Braulio VB
，Arbex AK
，Marcadenti A
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