Sensitivity, specificity, and predictive values of pediatric metabolic syndrome components in relation to adult metabolic syndrome: The princeton LRC follow-up study

被引:30
作者
Huang, Terry T-K [1 ]
Nansel, Tonia R. [2 ]
Bielsheim, Allen R. [2 ]
Morrison, John A. [3 ]
机构
[1] NICHHD, Endocrinol Nutr & Growth Branch, Rockville, MD 20852 USA
[2] NICHHD, Prevent Res Branch, Bethesda, MD USA
[3] Cincinnati Childrens Hosp, Med Ctr, Div Cardiol, Cincinnati, OH USA
关键词
D O I
10.1016/j.jpeds.2007.08.007
中图分类号
R72 [儿科学];
学科分类号
100202 ;
摘要
Objective To estimate the sensitivity, specificity, and predictive values of pediatric metabolic syndrome (MetS) components (obesity, fasting glucose, triglycerides, high-density lipoprotein, and blood pressure) at various cutoff points in relation to adult metS. Study design Data from the National Heart, Lung, and Blood Institute Lipid Research Clinics Princeton Prevalence Study (1973-1976) and the Princeton Follow-tip Stud), (2000-2004) were used to calculate sensitivity, specificity, and positive and negative predictive values for each component at a given cutoff point and for aggregates of components. Results Individual pediatric components alone showed low to moderate sensitivity, high specificity, and moderate predictive values in relation to adult MetS. When all 5 pediatric MetS components were considered, the presence of at least I abnormality had higher sensitivity for adult MetS than individual components alone. When multiple abnormalities were mandatory for MetS, positive predictive value was high and sensitivity was low. Childhood body mass alone showed neither high sensitivity nor high positive predictive value for adult MetS. Conclusions Considering multiple metabolic variables in childhood can improve the predictive usefulness for adult MetS, compared with each component or body mass alone. MetS variables may be useful for identifying some children who are at risk for prevention interventions.
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收藏
页码:185 / 190
页数:6
相关论文
共 28 条
[1]  
[Anonymous], 2000, ADV DATA, V314, P1, DOI DOI 10.1186/1475-2875-6-146
[2]  
Arslanian SA, 2000, J PEDIATR ENDOCR MET, V13, P1385
[3]   Blood glucose levels: facing a global crisis [J].
Avendano, Mauricio ;
Mackenbach, J. P. .
LANCET, 2006, 368 (9548) :1631-1632
[4]  
BARTHELMAIW, 1965, KLIN WOCHENSCHR, V40, P585
[5]   Metabolic syndrome variables at low levels in childhood are beneficially associated with adulthood cardiovascular risk - A Bogalusa heart study [J].
Chen, W ;
Srinivasan, SR ;
Li, SX ;
Xu, JH ;
Berenson, GS .
DIABETES CARE, 2005, 28 (01) :126-131
[6]   Definition of metabolic syndrome in preadolescent girls [J].
Chi, Carolyn H. ;
Wang, Yun ;
Wilson, Darrell M. ;
Robinson, Thomas N. .
JOURNAL OF PEDIATRICS, 2006, 148 (06) :788-792
[7]  
Chu K., 1999, EMERGEN MED, V11, P175, DOI DOI 10.1046/J.1442-2026.1999.00041.X
[8]   Prevalence of a metabolic syndrome phenotype in adolescents - Findings from the Third National Health and Nutrition Examination Survey, 1988-1994 [J].
Cook, S ;
Weitzman, M ;
Auinger, P ;
Nguyen, M ;
Dietz, WH .
ARCHIVES OF PEDIATRICS & ADOLESCENT MEDICINE, 2003, 157 (08) :821-827
[9]   Metabolic syndrome and 10-year cardiovascular disease risk in the hoorn study [J].
Dekker, JM ;
Girman, C ;
Rhodes, T ;
Nijpels, G ;
Stehouwer, CDA ;
Bouter, LM ;
Heine, RJ .
CIRCULATION, 2005, 112 (05) :666-673
[10]   Testing for Helicobacter pylori infection:: validation and diagnostic yield of a near patient test in primary care [J].
Duggan, AE ;
Elliott, C ;
Logan, RFA .
BRITISH MEDICAL JOURNAL, 1999, 319 (7219) :1236-1239