Correlation of neck and wrist circumference with waist circumference

Abstract

Background and aims: Body mass index, waist and hip circumference have been using for measurement of obesity, however practically it’s difficult to get these measures accurately because of the various reasons, so an alternative to this could be neck and wrist circumference measurement. As there is scarce report on such anthropometric studies from Nepal, we aimed to find out the correlation between neck and wrist circumference with waist circumference for obesity measure.Method: A cross sectional observational study of total 297(147 male and 150 female) participants, aged above 18 years conducted on 2013 at Kathmandu valley. Anthropometric markers of obesity were measured, including body weight, height, waist, hip, neck and wrist circumferences.Results: A strong positive Pearson correlation of neck circumference with waist circumference was found in both male and females(r=0.64 in male and r=0.86 in female). Neck circumference had strong positive correlation with waist circumference in obese female than in male(r=0.5 in male and r=0.82 in female).Similarly, neck circumference had positive correlation with body mass index(r=0.53in male and r=0.79 in female),hip(r=0.54in male and r=0.76in female), weight(r=0.59in male and r=0.77in female) except waist hip ratio(r=0.59in male and r=0.10in female). Neck circumference cutoff for abnormal waist (>=90cm for male and >=80cm for female) was 34.4cm for male and 32.5 cm for female. Similarly wrist circumference had also positive correlation with waist circumference(r=0.58 and r=0.64 in female) and with weight(r>0.6) in both sexes.Conclusion: Neck circumference which can be relatively easily measured has shown strong correlation with waist.Journal of Advances in Internal Medicine 2014;3(2):47-51.

Correlation of wrist circumference with waist circumference and body mass index in adults with early-onset type 2 diabetes mellitus

“…21 A study from Nepal also showed positive Pearson correlation of wrist circumference with waist circumference(r=0.58 in male and 0.64 in female) and with weight (r=0.64 in male and 0.86 in female). 22 In CASPIAN-IV study wrist circumference performed relatively well in classifying individuals into overweight (AUC: 0.67-0.75, p<0.001), generalized obesity (AUC: 0.81-0.85, p<0.001) and abdominal obesity (AUC: 0.82-0.87, p<0.001). 23 Wrist circumference is a simple, easy-to-detect anthropometric measure, and it is not subject to measurement problems involved in assessment of other anthropometrics like waist and hip circumference; clothing is one major perturbing factor complicating the measurement of waist and hip circumferences.…”

Neck circumference as a risk indicator for type 2 diabetes mellitus: a community based cross-sectional study

“…6 From the recent studies, it was evident that, neck circumference had a strong positive correlation with waist circumference. 7,8 Similarly, it was also found that, change in the neck circumference was associated with change in abdominal visceral fat. 9 However, only few studies have been carried out in India, using the neck circumference as a screening tool for diabetes.…”

“…Similarly the study conducted by Karki there was a strong positive Pearson correlation of neck circumference with waist circumference was found in both male and females(r=0.64 in male and r=0.86 in female). 8 In spite of the neck circumference having a strongly positive correlation with the waist circumference, it was not able to replace the waist circumference in Indian diabetes risk score. However various other studies, conducted in different parts of the world, have proved that neck circumference is replaceable for waist circumference and is a simple and best measure of central obesity.…”

Towards Estimating Arterial Diameter Using Bioimpedance Spectroscopy: A Computational Simulation and Tissue Phantom Analysis

“…Each stage corresponded to a combination of different electrode dimensions as well as tissue layers. The dimensions of the models were considered in alignment with several studies and reports in terms of the relative proportions of tissues in the standard human forearm [21], depth and diameter of the human radial artery [22], human forearm anatomy scanned by Magnetic Resonance Imaging (MRI) [23][24][25][26], the ultrasonic imaging of human volar forearm [27], the average diameters of the radial artery and ulnar artery of the population [28][29][30], and human wrist circumference [31]. Additionally, tissues' properties were considered constant with time; thereby, the bulk conductivity (σ) and relative permittivity (ε r ) were assigned to each domain based on [32][33][34].…”