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Traditional and novel correlates of adiposity and cardiometabolic risk among young healthy adults in the North West of England

Published online by Cambridge University Press:  24 November 2016

F. Amirabdollahian
Affiliation:
School of Health Sciences, Liverpool Hope University, Liverpool, L16 9JD
C.J. Macdonald-Clarke
Affiliation:
School of Health Sciences, Liverpool Hope University, Liverpool, L16 9JD
E.K. Lees
Affiliation:
School of Health Sciences, Liverpool Hope University, Liverpool, L16 9JD
T. Harrison
Affiliation:
School of Sports Studies, Leisure and Nutrition, Liverpool John Moores University, Liverpool L17 6BD
I.G. Davies
Affiliation:
School of Sports Studies, Leisure and Nutrition, Liverpool John Moores University, Liverpool L17 6BD
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Abstract

Type
Abstract
Copyright
Copyright © The Authors 2016 

Excessive adiposity is associated with increased cardiometabolic (CM) risk(Reference Haslam and James1). The discriminatory power of traditional proxy indicators of adiposity such as Body Mass Index (BMI), Waist Circumference (WC) and Waist to Hip Ratio (WHpR) has been frequently challenged(Reference Haslam and James1, Reference Ashwell, Gunn and Gibson2). In recent years, several novel proxy measures of adiposity such as Waist to Height Ratio (WHtR)Reference Ashwell, Gunn and Gibson2, Clinica Universidad de Navarra – Body Adiposity Estimator (CUN-BAE)(Reference Fuster-Parra, Bennasar-Veny and Tauler3) and A Body Shape Index (ABSI)(Reference Krakauer and Krakauer4) and have been suggested as alternatives to the traditional measures. The aim of this study was to investigate which proxy measure of anthropometric adiposity has the strongest association with CM risk indices in healthy young adults in North West England.

After obtaining ethical approval, 396 (171 male and 225 female) participants aged 18–24 years were recruited in a cross-sectional study. Anthropometric, dietary and laboratory measures of CM risk were assessed including: percentage body fat (%BF measured via bioelectrical impedance Tanita), blood pressure (BP), 3-day validated food diary and fasting capillary whole blood glucose and lipid profile. Traditional (BMI, WC, WHpR) and novel (CUN-BAE, ABSI and WHtR) proxy indicators of adiposity were assessed or calculated using standardised techniques(2–4). The strength of the association of these measures with CM risk indices were then compared based on the strength of the Pearson correlation coefficient in males (M) and females (F) (Table 1).

Table 1. Pearson correlation coefficient of the association between cardiometabolic risk indices and proxy indicators of adiposity (*p < 0·05, **p < 0·01).

For men, most novel and traditional proxy measures showed weak associations with measured  %BF. While there were occasional correlations with other dietary and laboratory correlates of CM risk, both CUN-BAE and WHtR showed weak but significant association with  %BF and whole blood total cholesterol. For women, CUN-BAE correlated the strongest with  %BF, while WC and WHtR demonstrated weak but (very) significant associations with various anthropometric, dietary and laboratory indices of CM risk. The findings suggest that for young adults in general, ABSI and WHpR show no or limited potential as proxy indicators of adiposity. Furthermore, the findings propose that gender specific proxy indicators may be required and, specifically for women, use of WC, WHtR and CUN-BAE may be more appropriate than BMI. This might be due to differences in adipose tissue type and distribution.

References

1.Haslam, D, James, WPT (2005) The Lancet 366, 1197120910.1016/S0140-6736(05)67483-1Google Scholar
2.Ashwell, M, Gunn, P, Gibson, S (2012) Obesity Reviews 13, 27528610.1111/j.1467-789X.2011.00952.xGoogle Scholar
3.Fuster-Parra, P, Bennasar-Veny, M, Tauler, P et al. (2015) PLoS ONE 10, e012229110.1371/journal.pone.0122291Google Scholar
4.Krakauer, NY and Krakauer, JC (2012) PLoS ONE 7, e39504Google Scholar
Figure 0

Table 1. Pearson correlation coefficient of the association between cardiometabolic risk indices and proxy indicators of adiposity (*p < 0·05, **p < 0·01).