Waist Circumference and Waist-to-Height Ratio Are More Highly Correlated to Body Mass Index than to Percentage Body Fat in Young Children

2009 ◽  
Vol 109 (9) ◽  
pp. A38
Author(s):  
M. Boylan ◽  
D. Feng ◽  
M. Chyu ◽  
Y. Chin ◽  
C. Esperat
Keyword(s):  
Body Mass Index ◽  
Waist Circumference ◽  
Young Children ◽  
Body Mass ◽  
Body Fat ◽  
Height Ratio ◽  
Percentage Body Fat ◽  
Waist To Height Ratio ◽  
Highly Correlated

scholarly journals The Influence of Anthropometric Indices and Intermediary Determinants of Hypertension in Bangladesh

2021 ◽  
Vol 18 (11) ◽  
pp. 5646
Author(s):  
Sally Sonia Simmons ◽  
John Elvis Hagan ◽  
Thomas Schack
Keyword(s):  
Public Health ◽  
Body Mass Index ◽  
Waist Circumference ◽  
Body Mass ◽  
Odds Ratio ◽  
Height Ratio ◽  
Anthropometric Parameters ◽  
Anthropometric Indices ◽  
Waist To Hip Ratio ◽  
Waist To Height Ratio

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.

scholarly journals Optimal cutoff values for anthropometric indices of obesity as discriminators of metabolic abnormalities in Korea: results from a Health Examinees study

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Sooyoung Cho ◽  
Aesun Shin ◽  
Ji-Yeob Choi ◽  
Sang Min Park ◽  
Daehee Kang ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Waist Circumference ◽  
Body Mass ◽  
Metabolic Abnormalities ◽  
Height Ratio ◽  
Optimal Cutoff ◽  
Waist To Hip Ratio ◽  
Cutoff Values ◽  
Waist To Height Ratio ◽  
Conicity Index

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.

scholarly journals Peculiarities of Physical Fitness and Body Composition of 5—7 Year-Old Children of Several Kaunas Preschools and Interaction between those Indexes

2018 ◽  
Vol 2 (73) ◽  
Author(s):  
Sandrija Čapkauskienė ◽  
Kristina Visagurskienė ◽  
Rima Bakienė ◽  
Irena Vitkienė ◽  
Daiva Vizbaraitė
Keyword(s):  
Body Mass Index ◽  
Body Composition ◽  
Waist Circumference ◽  
Physical Fitness ◽  
Body Mass ◽  
Body Fat ◽  
Fat Mass ◽  
Body Fat Mass ◽  
Percentage Body Fat ◽  
General Physical

Childhood obesity is a key public health issue around the globe in developed and developing countries (Dugan, 2008). The recent worldwide increase in the prevalence of childhood obesity may be due in part to a decrease in children’s physical activity levels (Ball et al., 2001). It is necessary to develop early interventions to improve physical fitness in children and to prevent the increase of childhood obesity (Brunet et al., 2006). So, the aim of this study was to evaluate the body composition and physical fitness of children aged 5—7 years and to estimate the interaction between body composition components and physical fitness tests. Participants: 216 children participated in this study: 104 girls, mean age 5.90 ± 0.63 years and 112 boys — mean age 5.98 ± 0.50 years from Kaunas city (Lithuania) preschools. Methods: all the subjects have been measured for their height, body mass, waist circumference (WC) and skinfolds at 2 different places — triceps and subscapular. Body mass index (BMI) and percentage body fat mass (BFM) were evaluated. All the participants did four physical fitness tests including speed shuttle run, 20 meters distance run, standing long jump and throwing 1 kg ball. General physical fitness level was evaluated based on B. Sekita (1988) methods. Results. Results showed that BMI did not significantly differ between boys and girls, and was evaluated as “optimal” for both groups. BFM was significantly higher in girls (p < 0.001), and WC did not differ between genders. But WC had a tendency to increase with age in both boys and girls. Strong relationship was observed between BMI and BFM (r = 0.660, r = 0.660 respectively; p < 0.01), and between BMI and WC (r = 0.703, r = 0.826 respectively; p < 0.01) for both boys and girls. The results of physical tests showed that boys did all the tests better than girls (p < 0.01). When we evaluated the general physical fitness of each child, the results indicated that their physical fitness waslow, evaluated as “good enough” for most boys and girls. General physical fitness of children negatively but slightly correlated with BFM (r = –0.201; p < 0.001), it indicated that higher BFM determined lower evaluation of general physical fitness.Conclusions. Optimal body weight, according to body mass index, percentage body fat mass and waist circumference, was established for the bigger part of children, aged 5—7 years old. This study shows that physical fitness of children was low — evaluated as “good enough” and negatively correlated with body fat mass, showing that high body fat mass negatively impacted physical fitness.Key words: body mass index, percentage body fat mass, waist circumference, physical fitness.

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