Waist Circumference, Waist-Hip Ratio and
Body Mass Index in Assessing Nutritional Status
and Central Obesity of Adolescent
Vidyasagar University, India
Submission: February 01, 2017; Published: March 15, 2017
*Corresponding author: KanKana De, Vidyasagar University, India, Tel: 9474714273; Email: email@example.com
How to cite this article: KanKana D. Waist Circumference, Waist-Hip Ratio and Body Mass Index in Assessing Nutritional Status and Central Obesity of Adolescent. Glob J Arch & Anthropol. 2017; 1(1): 555552. DOI: 10.19080/GJAA.2017.01.555552
WHR is used as a measurement of obesity, which in turn is a possible indicator of other more serious health conditions. The WHO states that abdominal obesity is defined as a waist–hip ratio above 0.90 for males and above 0.85 for females, or a body mass index (BMI) above 30.0.
Area of study and Sample size: Subjects are adolescent girls aged 10-19 years. They belong to Salboni Block which is one of blocks of Paschim Medinipur, Westbengal, Participants of socioeconomic data are collected through structured questionnaire, anthropometric data are collected through different instruments, cross section study is done over 1009 girls.
Results: Table 1 represents body mass index and waist hip ratio distribution, Table 2 & 3 found significant relation with percent body fat and BMI, waist-hip ratio, waist height ratio.
Conclusion: Central obesity had significant effect on chronic heart diseases. Those girls have shown centrally obese in his study; they have chances to experience heart disease in future.
Keywords: Body mass index; Waist-hip ratio; Undernutrition
Assessment of nutritional status of adolescent is done by anthropometric measurements. Body weight, BMI, mid-arm muscle circumference, and skin fold thickness all are different anthropometric measurement. Cardio metabolic risk factor has associated with waist circumference. This will be the general adiposity as will be is measured by body mass index (BMI) . A waist circumference of >94cm in men and >80cm in women, an increased risk of diseases such as coronary heart disease(CHD). This measurement is widely used in the classification of obesity. Body composition is changing in every stage of life and is reflected in measurement. The WHR has been used as an indicator or measure of health, and the risk of developing serious health conditions. WHR correlates with fertility (with different optimal values for males and females). WHR is used as a measurement of obesity, which in turn is a possible indicator of other more serious health conditions. The WHO states that abdominal obesity is defined as a waist–hip ratio above 0.90 for males and above 0.85 for females, or a body mass index (BMI) above 30.0 . The National
Institute of Diabetes, Digestive and Kidney Diseases (NIDDK)
states that women with waist–hip ratios of more than 0.8, and men with more than 1.0 , are at increased health risk because of their fat distribution. According to the Centres for Disease Control and Prevention-United States (CDC-US) growth charts, which are relatively specific, the 85th percentile is the cut off point for being overweight, whereas the 95th percentile is the cut off point for obesity [14,15].. The sensitivity and specificity of each WHR level for the detection of hypertension, dyslipidemia, diabetes, and two or more of these risk factors were calculated by creating dichotomous variables for each WHR value .
BMI and WC are two important predictors for teenagers to become overweight and obese . Receiver-operating characteristic (ROC) analysis is a very useful tool for visualizing is evaluating classifiers and utilized to evaluate the accuracy of a diagnostic test by summarizing the potential of the test to discriminate between the absence and presence of a health condition. Waist-to-height ratio (WHTR) was the best
discriminator for hypertension, diabetes, and dyslipidemia
in both sexes . Waist circumference a tool to assessing will
be assess abdominal fat and health status. In postmenopausal
women estrogens deficiency plays an important role in the
change of body composition and fat tissue distribution .
Waist circumference, waist–hip ratio and waist– height ratio,
have been suggested as being superior to BMI in predicting CVD
Subjects are adolescent girls aged 10-19 years. They belong
to Salboni Block which is one of the blocks of Paschim Medinipur,
Westbengal, Participants of socioeconomic data are collected
through structured questionnaire; anthropometric data are
collected through different instruments; cross section study is
done over 1009 girls.
Height was measured to the nearest 0.1cm by using a
stadiometer (Holtain Ltd., Crymych, UK) when the subjects
stood wearing socks and with their heads in the Frankfort
horizontal plane. Weight was measured to the nearest 0.1kg with
an electronic portable scale (Secadelta, Model 707). BMI was
calculated as weight (kg) divided by height (m) squared. A metal
tape was used to measure the circumference of the buttocks.
Waist circumference was measured at a level midway between
the lowest rib and the crista iliaca superior. The measurement
was carried out at the end of a normal expiration while the
subject stood upright with feet together and arms hanging freely
at the sides. Hip circumference was measured at the maximum
point below the waist, without compressing the skin. WHR
was calculated by dividing the waist measurement by the hip
Derivation of the ROC curves was based on a method by
Obuchowski  for continuous-scale of gold standards. ROC
analyses were performed in order to evaluate the general
performance of the BMI, WC and WHR. The percentage of body fat was considered as the reference standard for the ROC curve
analysis of BMI for girls WC rib measures displayed the strongest
associations with non-optimal lipid and lipoprotein levels, high
blood pressure, insulin resistance, impaired fasting glucose, a
clustering of metabolic risk features and type 2 diabetes, in both
genders. Rib-derived indices improved discrimination of type 2
WC and WHR were performed by employing a nonparametric
approach, which was implemented in Statistical
Packages for Social Sciences (SPSS) Two-sided p values were
considered statistically significant at p<.005.
Mean waist circumference is 78.32(6.32) and mean Hip
circumference is 84.64 (6.57 In late adolescent phase girls are
found centrally obese. 827 girls in overall study is centrally
obese, study represents that at age 14,15. 16 girls are centrally
obese, 90 girls centrally obese at age 15 years. 80 girls are under
nutrient will be nutrition among 1009 girls, Table 1 represents
body mass index and waist hip ratio distribution, Table 2 & 3 is
found significant relation with percent body fat and BMI, waisthip
ratio, waist height ratio.
The test result variable(s): Waist circumference, waist hip ratio, BMI has at least one tie between the positive actual state group and the negative actual state group. Statistics may be biased.
Yang et al. and Neovious et al. also have used ROC curves to
evaluate obesity from BMI, WC and WHR data. They also found
that BMI and WC indices were suitable for diagnostic tests;
however, WHR was less useful. This trend is observed in our
study in line with that observed during previous investigations
by the above mentioned authors. Yang et al. and Neovious et al
after also write have used ROC curves to evaluate obesity from
BMI, WC and WHR data. They also found that BMI and WC indices
were suitable for diagnostic tests; however, WHR was less useful.
This trend observed in our study is in line with that observed
during previous investigations by the above mentioned authors.
Figure 1 of Roc curve shown accuracy chronic energy deficiency
and waist -hip ratio have positive relation.
Nutrient needs during adolescence are higher than at any
other time in the lifecycle, and failure to consume a healthy
balanced diet during this time can have adverse effects on young
people’s well-being, energy and health. In addition to the impact
on growth and development, a poor diet during this life stage can cause a number of immediate health problems, such as being
overweight and obese in the short-term. WC measurements as
potentially more accurate predictors of metabolic risk and type 2
diabetes, compared to WHO and IDF-recommended WC midway
measurement or BMI, deserves further investigation .