Waist circumference cutoff points in school-aged Chinese Han and Uygur children

Weili Yan, Hua Yao, Jianghong Dai, Jun Cui, Yan Chen, Xiaoyan Yang, Gregory A. Harshfield, Xiaoling Wang

Research output: Contribution to journalArticlepeer-review

25 Scopus citations

Abstract

Objective: To examine the distribution of age- and gender-specific waist circumference (WC) and to identify optimal cutoffs for predicting cardiovascular (CV) risk factors in Chinese Han and Uygur children. Methods and Procedures: In total 4,224 Han and Uygur children aged 7-18 were randomly selected from schools in Urumqi city, China. WC, height, and weight were accurately measured in all subjects. Blood pressure, fasting lipids, glucose, and insulin were determined in 258 overweight/obese children and 370 age-, gender-, and ethnicity-matched normal-weight controls selected from the same study sample. LMS (lambda-mu-sigma) method was used to construct WC centile curves. Optimal WC cutoffs were determined by comparing the performance of five sets of WC cutoffs in predicting CV risk factors. Results: Han boys and girls had higher WC at all percentiles and ages except for girls over the age of 16. Uygur girls also showed a greater increase in WC corresponding with age (2.1 cm/year vs. 1.6 cm/year for the median) than Han girls. Compared with the other four sets of cutoffs, the 85th WC percentile showed the best combination of sensitivity (81.0%) and specificity (71.4%). The two sets of WC cutoffs constructed by allowing centile curves passing through the adult cutoffs for central adiposity using the fitted LMS curves provided poor sensitivities in predicting the presence of cluster of CV risk factors. Discussion: The growth pattern of WC varies with gender and ethnicity. The 85th percentile of WC is an appropriate cutoff for Chinese Han and Uygur children in the prediction of CV risks.

Original languageEnglish (US)
Pages (from-to)1687-1692
Number of pages6
JournalObesity
Volume16
Issue number7
DOIs
StatePublished - Jul 2008

ASJC Scopus subject areas

  • Medicine (miscellaneous)
  • Endocrinology, Diabetes and Metabolism
  • Endocrinology
  • Nutrition and Dietetics

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