OBJECTIVE: To prospectively assess the association of the metabolic syndrome in childhood with adult metabolic syndrome and type 2 diabetes mellitus (T2DM) 25 to 30 years later. STUDY DESIGN: Data from the National Heart Lung and Blood Institute Lipid Research Clinics (LRC) Princeton Prevalence Study (1973-1976) and the Princeton Follow-up Study (PFS, 2000-2004) were used. Body mass index (BMI = kg/m(2)) was used as the obesity measure in childhood because waist circumference was not measured at the LRC. The adult T2DM status of participants and their parents was obtained by participant report or fasting blood glucose >/=126 mg/dL. A logistic analysis for clustered samples was used to predict adult metabolic syndrome and T2DM, taking into account sibling correlations in the cohort. Pediatric metabolic syndrome, age at PFS, sex, race, change in BMI percentile, parental history of diabetes, and the interaction of pediatric metabolic syndrome and parental diabetes were explanatory variables. RESULTS: Ages ranged from 5 to 19 years in the LRC and from 30 to 48 years in the PFS. Pediatric metabolic syndrome, parental diabetes, age at follow-up, and change in age-specific BMI percentile were significant predictors of metabolic syndrome in adulthood, and pediatric metabolic syndrome, age at follow-up, black race, and parental diabetes were significant predictors of T2DM. CONCLUSIONS: Evaluating 5- to 19-year-old children for metabolic syndrome and family history of diabetes could identify children at increased risk of adult metabolic syndrome and T2DM, allowing prospective primary prevention of these outcomes.
OBJECTIVE: To prospectively assess the association of the metabolic syndrome in childhood with adult metabolic syndrome and type 2 diabetes mellitus (T2DM) 25 to 30 years later. STUDY DESIGN: Data from the National Heart Lung and Blood Institute Lipid Research Clinics (LRC) Princeton Prevalence Study (1973-1976) and the Princeton Follow-up Study (PFS, 2000-2004) were used. Body mass index (BMI = kg/m(2)) was used as the obesity measure in childhood because waist circumference was not measured at the LRC. The adult T2DM status of participants and their parents was obtained by participant report or fasting blood glucose >/=126 mg/dL. A logistic analysis for clustered samples was used to predict adult metabolic syndrome and T2DM, taking into account sibling correlations in the cohort. Pediatric metabolic syndrome, age at PFS, sex, race, change in BMI percentile, parental history of diabetes, and the interaction of pediatric metabolic syndrome and parental diabetes were explanatory variables. RESULTS: Ages ranged from 5 to 19 years in the LRC and from 30 to 48 years in the PFS. Pediatric metabolic syndrome, parental diabetes, age at follow-up, and change in age-specific BMI percentile were significant predictors of metabolic syndrome in adulthood, and pediatric metabolic syndrome, age at follow-up, black race, and parental diabetes were significant predictors of T2DM. CONCLUSIONS: Evaluating 5- to 19-year-old children for metabolic syndrome and family history of diabetes could identify children at increased risk of adult metabolic syndrome and T2DM, allowing prospective primary prevention of these outcomes.
Authors: Costan G Magnussen; Juha Koskinen; Wei Chen; Russell Thomson; Michael D Schmidt; Sathanur R Srinivasan; Mika Kivimäki; Noora Mattsson; Mika Kähönen; Tomi Laitinen; Leena Taittonen; Tapani Rönnemaa; Jorma S A Viikari; Gerald S Berenson; Markus Juonala; Olli T Raitakari Journal: Circulation Date: 2010-10-04 Impact factor: 29.690
Authors: John A Morrison; Charles J Glueck; Stephen Daniels; Ping Wang; Paul Horn; Davis Stroop Journal: Transl Res Date: 2010-09-08 Impact factor: 7.012
Authors: Véronique L Roger; Alan S Go; Donald M Lloyd-Jones; Emelia J Benjamin; Jarett D Berry; William B Borden; Dawn M Bravata; Shifan Dai; Earl S Ford; Caroline S Fox; Heather J Fullerton; Cathleen Gillespie; Susan M Hailpern; John A Heit; Virginia J Howard; Brett M Kissela; Steven J Kittner; Daniel T Lackland; Judith H Lichtman; Lynda D Lisabeth; Diane M Makuc; Gregory M Marcus; Ariane Marelli; David B Matchar; Claudia S Moy; Dariush Mozaffarian; Michael E Mussolino; Graham Nichol; Nina P Paynter; Elsayed Z Soliman; Paul D Sorlie; Nona Sotoodehnia; Tanya N Turan; Salim S Virani; Nathan D Wong; Daniel Woo; Melanie B Turner Journal: Circulation Date: 2011-12-15 Impact factor: 29.690
Authors: Vladimir Vuksan; Valentina Peeva; Alexander Rogovik; Uljana Beljan-Zdravkovic; Mark Stavro; Alexandra Jenkins; Andre G Dias; Sudi Devanesen; John Sievenpiper; Amir Hanna Journal: Can J Cardiol Date: 2010-03 Impact factor: 5.223