scholarly journals Cardiometabolic Risk Assessments by Body Mass Indexz-Score or Waist-to-Height Ratio in a Multiethnic Sample of Sixth-Graders

2014 ◽  
Vol 2014 ◽  
pp. 1-10 ◽  
Author(s):  
Henry S. Kahn ◽  
Laure El ghormli ◽  
Russell Jago ◽  
Gary D. Foster ◽  
Robert G. McMurray ◽  
...  
Keyword(s):  
Body Mass ◽  
Cardiometabolic Risk ◽  
Hdl Cholesterol ◽  
The Body ◽  
Outcome Variable ◽  
Growth Chart ◽  
Height Ratio ◽  
Normative Growth ◽  
Blood Pressures ◽  
Waist To Height Ratio

Convention defines pediatric adiposity by the body mass indexz-score (BMIz) referenced to normative growth charts. Waist-to-height ratio (WHtR) does not depend on sex-and-age references. In the HEALTHY Study enrollment sample, we compared BMIz with WHtR for ability to identify adverse cardiometabolic risk. Among 5,482 sixth-grade students from 42 middle schools, we estimated explanatory variations (R2) and standardized beta coefficients of BMIz or WHtR for cardiometabolic risk factors: insulin resistance (HOMA-IR), lipids, blood pressures, and glucose. For each risk outcome variable, we prepared adjusted regression models for four subpopulations stratified by sex and high versus lower fatness. For HOMA-IR,R2attributed to BMIz or WHtR was 19%–28% among high-fatness and 8%–13% among lower-fatness students.R2for lipid variables was 4%–9% among high-fatness and 2%–7% among lower-fatness students. In the lower-fatness subpopulations, the standardized coefficients for total cholesterol/HDL cholesterol and triglycerides tended to be weaker for BMIz (0.13–0.20) than for WHtR (0.17–0.28). Among high-fatness students, BMIz and WHtR correlated with blood pressures for Hispanics and whites, but not black boys (systolic) or girls (systolic and diastolic). In 11-12 year olds, assessments by WHtR can provide cardiometabolic risk estimates similar to conventional BMIz without requiring reference to a normative growth chart.

scholarly journals Blood pressure responses to the Cold Pressor Test according to body mass index and waist-to-height ratio in adolescents

2020 ◽  
Vol 10 (3) ◽  
pp. 109-115
Author(s):  
Francinete Deyse Dos Santos ◽  
Edna Ferreira Pinto ◽  
Ana Regina Leão Ibiapina Moura ◽  
Eguinaldo Vinícius de Carvalho Lima ◽  
Mariana Ferreira de Souza ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Body Mass Index ◽  
Body Mass ◽  
Cold Pressor Test ◽  
Cold Pressor ◽  
The Body ◽  
Height Ratio ◽  
Pressor Test ◽  
Waist To Height Ratio ◽  
High Bmi

Objectives: to analyze the blood pressure (BP) values ​​and responses to the Cold Pressor Test (CPT) according to the body mass index (BMI) and the waist-to-height ratio (WHtR). Methods: 166 adolescents of both sexes participated in the study. Participants underwent measurements of body mass, height and waist circumference. BMI and WHtR were calculated. BP was measured before (pre-test), during (test) and after CPT (recovery). The groups were compared using a mixed ANOVA with Bonferroni post hoc, and Odds Ratio calculation. The level of significance was p < 0.05. Results: prevalences of 16.9% of high BMI, 19.9% ​​of increased WHR and 8.4% of pretest BP were found above the recommended. Participants with high BMI had increased systolic BP compared to their normal peers (113.0 ± 11.4 vs. 121.7 ± 11.6 mmHg; p = 0.003). Adolescents with elevated WHR had higher pre-test and recovery systolic BP (pre-test: 113.2 ± 11.4 vs. 119.6 ± 12.7 mmHg; p = 0.021; recovery: 111.9 ± 14.1 vs. 117.4 ± 14.0 mmHg; p = 0.044). Finally, individuals with BMI and WHtR above the recommended had 2.1 (95% CI 0.62 - 7.36) and 2.5 (95% CI 0.77 - 7.91) times, respectively, more likely to have high pre-test BP values. Conclusion: adolescents with increased BMI and WHtR have higher BP values ​​compared to their normal peers.

Abstract MP52: Beyond Body Mass Index: A Population-Based Comparison Demonstrates Advantages of Abdominal Anthropometry for Identifying Cardiometabolic Dysfunctions

Circulation ◽  
2015 ◽  
Vol 131 (suppl_1) ◽  
Author(s):  
Henry S Kahn ◽  
Kai M Bullard
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Cost Estimation ◽  
Cardiometabolic Risk ◽  
Low Cost ◽  
Hdl Cholesterol ◽  
Population Characteristics ◽  
Height Ratio ◽  
Sagittal Abdominal Diameter ◽  
Diabetes Outcome

Background: A weight-based adiposity indicator (body mass index; BMI, kg/m 2 ) is often reported for adults. Indicators based on sagittal abdominal diameter (SAD) or waist circumference have also identified cardiometabolic risk. Aim: Compare SAD/height ratio (SADHtR) or waist/height ratio (WHtR) with BMI for identifying risks in a representative sample of non-elderly adults without diagnosed diabetes. Outcome dysfunctions were Dysglycemia (glycated hemoglobin ≥5.7%), HyperNonHDLc (non-HDL-cholesterol ≥160 mg/dL or taking cholesterol meds), Hypertension (SBP ≥140 or DBP ≥90 or taking blood-pressure meds) and HyperALT (alanine transaminase ≥75 th %ile [sex-specific p75]). Methods: Non-pregnant adults (ages 20-64 y; N=3,071) in the 2011-2012 US National Health and Nutrition Examination Survey provided conventional anthropometry and supine SAD (by sliding - beam caliper). Sample weighting permitted estimation of population characteristics, including odds ratios (ORs) associated with each adiposity indicator (logistic regression models adjusted for age, sex and ancestry). For each dysfunction, we compared the ORs for 3 indicators after rescaling them to the indicator’s sex-specific, interquartile range. Results: The population distributions (mean; p25, p75) of indicators among men were: SADHtR (0.129; 0.112, 0.144), WHtR (0.564; 0.505, 0.613), and BMI (28.2; 24.2, 31.0). Among women they were: SADHtR (0.131; 0.112, 0.148), WHtR (0.580; 0.510, 0.636), and BMI (28.3; 23.4, 31.7). Dysfunction prevalence ranged from 21.9% (Dysglycemia in women) to 42.4% (HyperNonHDLc in men). To identify HyperNonHDLc, Hypertension and HyperALT (but not Dysglycemia), the ORs were highest for SADHtR and lowest for BMI. When SADHtR entered models simultaneously with BMI, the ORs associated with BMI no longer contributed to identification of HyperNonHDLc, Hypertension, or HyperALT (Figure). Conclusions: Among US adults, the SADHtR provides low-cost estimation of cardiometabolic risk independently of BMI.

scholarly journals Correspondence between waist-to-height ratio and body mass index in juniors

2017 ◽  
Vol 4 (1) ◽  
pp. 1
Author(s):  
Andrew Yatsko
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
The Body ◽  
Childhood And Adolescence ◽  
Height Ratio ◽  
Epidemiological Evidence ◽  
Anthropometric Measures ◽  
Cut Points ◽  
Waist To Height Ratio ◽  
Age Change

Despite the increase in body mass through childhood and adolescence is countered by the increase in height in the Body Mass Index (BMI), this measure is inadequate for judging the degree of excess weight among the young. Unlike using clearly defined cut points, same for any stage of adulthood, it is required to consult BMI-for-age charts, which can be a demanding exercise when data analysis is involved. The waist circumference to height ratio (WCHR) was hypothesised to be invariant to age change, and this is generally supported by the epidemiological evidence. This paper analyses a sample of NHANES data to find a connection between BMI, WCHR and Age. A strong linearity between the anthropometric measures is demonstrated, thus enabling estimation of WCHR for a given BMI and Age. The pattern of change of this parameter at BMI levels that indicate the transition to overweight state or obesity thus becomes unravelled. The results strongly support the feasibility of a universal WCHR threshold for the overweight state past early childhood and through adolescence, and the estimated one is similar to the WCHR levels found elsewhere in the literature.

scholarly journals Evaluation of anthropometric measurements of central obesity as screening tools in children: multi receiver operating characteristic analysis

2016 ◽  
Vol 4 (1) ◽  
pp. 251
Author(s):  
Asha Bullappa ◽  
Harish B. R. ◽  
Mahendra B. J.
Keyword(s):  
Body Mass ◽  
Central Obesity ◽  
The Body ◽  
Screening Tools ◽  
Characteristic Analysis ◽  
Height Ratio ◽  
Waist To Hip Ratio ◽  
Waist To Height Ratio ◽  
Conicity Index ◽  
Obesity In Children

Background: Obesity in children is often expressed by indicators like Body Mass Index, Waist Circumference, Waist-to-Hip ratio etc. Each of these has its own merits and demerits. Among these, BMI is commonly used to assess overweight/obesity but the central obesity is more important than the body mass as it has shown strong association with risk for coronary heart disease, adverse lipid profile and hyper insulinaemia in children.  The objectives were to assess the validity of waist-hip ratio, waist-to-height ratio, conicity index as indicators of central obesity in children as measured by waist circumference.Methods: This is a cross sectional study conducted on 4663 students who were enrolled in 8th to 10th standard of government and private schools of Mandya city. Weight, height, waist and hip circumference are measured following WHO guidelines. The data was analyzed using mean, standard deviation, proportion, cut off, sensitivity, and specificity. ROC curves were drawn to assess the validity of the anthropometric measurements.Results: Using the WC percentiles given by Kuriyan R, the prevalence of overweight/obesity was found to be 7.59% with 8.85% in girls and 6.03% in boys. Waist-to-Height ratio performed significantly better than waist-to-hip ratio and conicity index in identifying central obesity in both girls and boys as indicated by the AUCs.Conclusions: The age and sex specific cut off points for waist-to-hip ratio, waist-to-height ratio and conicity index can be used to detect overweight/obesity in Indian Children aged 11-16 years.

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