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A meta\u2010analysis was conducted using multiple databases, including Embase and Medline. Studies were included that utilized receiver\u2010operating characteristics curve analysis and published area under the receiver\u2010operating characteristics curves (AUC) for adiposity indicators with hyperglycaemia, elevated blood pressure, dyslipidemia, metabolic syndrome and other cardio\u2010metabolic outcomes. Thirty\u2010four studies met the inclusion criteria. AUC values were extracted and pooled using a random\u2010effects model and were weighted using the inverse variance method. The mean AUC values for each index were greater than 0.6 for most outcomes including hypertension. The values were the highest when screening for metabolic syndrome (AUC\u2009&gt;\u20090.8). WHtR did not have significantly better screening power than other two indexes in most outcomes, except for elevated triglycerides when compared with body mass index and high metabolic risk score when compared with waist circumference. Although not being superior in discriminatory power, WHtR is convenient in terms of measurement and interpretation, which is advantageous in practice and allows for the quick identification of children with cardio\u2010metabolic risk factors at an early age.<\/jats:p>","DOI":"10.1111\/obr.12456","type":"journal-article","created":{"date-parts":[[2016,7,25]],"date-time":"2016-07-25T10:42:42Z","timestamp":1469443362000},"page":"1258-1275","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":219,"title":["Waist\u2010to\u2010height ratio, body mass index and waist circumference for screening paediatric cardio\u2010metabolic risk factors: a meta\u2010analysis"],"prefix":"10.1111","volume":"17","author":[{"given":"K.","family":"Lo","sequence":"first","affiliation":[{"name":"School of Public Health and Primary Care The Chinese University of Hong Kong  Hong 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