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Waist‐to‐height ratio is a better screening tool than waist circumference and BMI for adult cardiometabolic risk factors: systematic review and meta‐analysis
Author(s) -
Ashwell M.,
Gunn P.,
Gibson S.
Publication year - 2012
Publication title -
obesity reviews
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.845
H-Index - 162
eISSN - 1467-789X
pISSN - 1467-7881
DOI - 10.1111/j.1467-789x.2011.00952.x
Subject(s) - waist to height ratio , waist , medicine , body mass index , meta analysis , anthropometry , metabolic syndrome , circumference , type 2 diabetes , demography , receiver operating characteristic , diabetes mellitus , obesity , endocrinology , mathematics , geometry , sociology
Summary Our aim was to differentiate the screening potential of waist‐to‐height ratio (WHtR) and waist circumference (WC) for adult cardiometabolic risk in people of different nationalities and to compare both with body mass index (BMI). We undertook a systematic review and meta‐analysis of studies that used receiver operating characteristics (ROC) curves for assessing the discriminatory power of anthropometric indices in distinguishing adults with hypertension, type‐2 diabetes, dyslipidaemia, metabolic syndrome and general cardiovascular outcomes (CVD). Thirty one papers met the inclusion criteria. Using data on all outcomes, averaged within study group, WHtR had significantly greater discriminatory power compared with BMI. Compared with BMI, WC improved discrimination of adverse outcomes by 3% ( P < 0.05) and WHtR improved discrimination by 4–5% over BMI ( P < 0.01). Most importantly, statistical analysis of the within‐study difference in AUC showed WHtR to be significantly better than WC for diabetes, hypertension, CVD and all outcomes ( P < 0.005) in men and women. For the first time, robust statistical evidence from studies involving more than 300 000 adults in several ethnic groups, shows the superiority of WHtR over WC and BMI for detecting cardiometabolic risk factors in both sexes. Waist‐to‐height ratio should therefore be considered as a screening tool.