Predicting cardiometabolic markers in children using tri-ponderal mass index: a cross-sectional study

被引:23
作者
Ashley-Martin, Jillian [1 ,2 ]
Ensenauer, Regina [3 ]
Maguire, Bryan [4 ]
Kuhle, Stefan [1 ,2 ]
机构
[1] Dalhousie Univ, Dept Obstet & Gynaecol, Perinatal Epidemiol Res Unit, Halifax, NS, Canada
[2] Dalhousie Univ, Dept Pediat, Perinatal Epidemiol Res Unit, Halifax, NS, Canada
[3] Heinrich Heine Univ, Expt Pediat & Metab, Dusseldorf, Germany
[4] Canc Care Ontario, Toronto, ON, Canada
基金
加拿大健康研究院;
关键词
TO-HEIGHT RATIO; WAIST CIRCUMFERENCE; CHILDHOOD OBESITY; RISK-FACTORS; BODY; OVERWEIGHT; WEIGHT; ADOLESCENTS; ADIPOSITY; DIAGNOSIS;
D O I
10.1136/archdischild-2018-316028
中图分类号
R72 [儿科学];
学科分类号
100202 ;
摘要
Objective To model the development of the tri-ponderal mass index (TMI, kg/m(3)) throughout childhood and adolescence and to compare the utility of the TMI with that of the body mass index (BMI, kg/m(2)) to predict cardiometabolic risk in a population-based sample of Canadian children and youth. Methods We used data from the Canadian Health Measures Survey to model TMI from 6 to 19 years of age. Percentile curves were developed using the LMS method. Logistic regression was used to predict abnormal levels of cardiometabolic markers; predictive accuracy was assessed using the area under the ROC curve (AUC). Results Mean TMI was relatively stable from ages 6 to 19 years for both sexes, but variability increased with age. There was no notable difference in AUC values for prediction models based on BMI z-score compared with TMI for any of the outcomes. For both BMI z-score and TMI, prediction accuracy was good for homeostasis model assessment insulin resistance and having >= 3 abnormal tests (AUC>0.80), fair for C-reactive protein and poor for the remainder of the outcomes. Conclusions The use of a single sex-specific TMI cut-off for overweight or obesity is hampered by the increasing variability of the measure with age. Weight-for-height indices likely have only limited ability to predict cardiometabolic marker levels, and changing the scaling power of height is unlikely to improve predictive accuracy.
引用
收藏
页码:577 / 582
页数:6
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