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

Author(s):  
Asha Bullappa ◽  
Harish B. R. ◽  
Mahendra B. J.

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.

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Sooyoung Cho ◽  
Aesun Shin ◽  
Ji-Yeob Choi ◽  
Sang Min Park ◽  
Daehee Kang ◽  
...  

Abstract Background Obesity is well known as a risk factor for cardiovascular disease. We aimed to determine the performance of and the optimal cutoff values for obesity indices to discriminate the presence of metabolic abnormalities as a primary risk factor for cardiovascular diseases in a Health Examinees study (HEXA). Methods The current study analyzed 134,195 participants with complete anthropometric and laboratory information in a Health Examinees study, consisting of the Korean population aged 40 to 69 years. The presence of metabolic abnormality was defined as having at least one of the following: hypertension, hyperglycemia, or dyslipidemia. The area under the receiver operating characteristic curve (AUC) and 95% confidence intervals (CIs) were calculated for body mass index, waist to hip ratio, waist to height ratio, waist circumference, and conicity index. Results The AUC of metabolic abnormalities was the highest for waist-to-height ratio (AUC [95% CIs], 0.677 [0.672–0.683] among men; 0.691 [0.687–0.694] among women), and the lowest for the C index (0.616 [0.611–0.622] among men; 0.645 [0.641–0.649] among women) among both men and women. The optimal cutoff values were 24.3 kg/m2 for the body mass index, 0.887 for the waist-to-hip ratio, 0.499 for the waist-to-height ratio, 84.4 cm for waist circumference and 1.20 m3/2/kg1/2 for the conicity index among men, and 23.4 kg/m2 for the body mass index, 0.832 for the waist-to-hip ratio, 0.496 for the waist-to-height ratio, 77.0 cm for the waist circumference and 1.18 m3/2/kg1/2 for the conicity index among women. Conclusion The waist-to-height ratio is the best index to discriminate metabolic abnormalities among middle-aged Koreans. The optimal cutoff of obesity indices is lower than the international guidelines for obesity. It would be appropriate to use the indices for abdominal obesity rather than general obesity and to consider a lower level of body mass index and waist circumference than the current guidelines to determine obesity-related health problems in Koreans.


Author(s):  
Sally Sonia Simmons ◽  
John Elvis Hagan ◽  
Thomas Schack

Hypertension is a major public health burden in Bangladesh. However, studies considering the underlying multifaceted risk factors of this health condition are sparse. The present study concurrently examines anthropometric parameters and intermediary factors influencing hypertension risk in Bangladesh. Using the 2018 World Health Organisation (WHO) STEPwise approach to non-communicable disease risk factor surveillance (STEPS) study conducted in Bangladesh and involving 8019 nationally representative adult respondents, bivariate and multivariate logistic regression analyses were performed to determine the association between anthropometrics, other intermediary factors and hypertension. The regression results were presented using the odds ratio (OR) and adjusted odds ratio (AOR) at 95% confidence intervals (CIs). The risk of hypertension was higher among females and males who were 40 years and older. However, among females, those who were age 60 years and older were more than twice and thrice more likely to be hypertensive compared to those in the younger age groups (18–39, 40–59). Females who were obese (body mass index [BMI], waist to hip ratio [WHR], waist to height ratio [WHtR]) or had high waist circumference [WC] were twice as likely to be hypertensive. Males and females who were physically active, consuming more fruits and vegetables daily and educated had lower odds of developing hypertension. Key findings suggest that the association between anthropometric indices (body mass index [BMI], waist to hip ratio [WHR], waist to height ratio [WHtR]), waist circumference [WC]), other intermediary determinants (e.g., education, physical activity) and hypertension exist across gender and with increasing age among adults in Bangladesh. Developing appropriate public health interventions (e.g., regular assessment of anthropometric parameters) for early identification of the risk and pattern of hypertension through appropriate screening and diagnosis is required to meet the specific health needs of the adult Bangladesh population.


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 ◽  
...  

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.


2017 ◽  
Vol 4 (1) ◽  
pp. 1
Author(s):  
Andrew Yatsko

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.


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