Literature DB >> 22001337

Childhood risk factors predict cardiovascular disease, impaired fasting glucose plus type 2 diabetes mellitus, and high blood pressure 26 years later at a mean age of 38 years: the Princeton-lipid research clinics follow-up study.

John A Morrison1, Charles J Glueck, Ping Wang.   

Abstract

The objective was to assess whether pediatric risk factors predict cardiovascular disease (CVD), impaired fasting glucose (IFG) + type 2 diabetes mellitus (T2DM), and high blood pressure (HBP) in young adulthood. We performed a prospective follow-up of 909 public-parochial suburban schoolchildren first studied at ages 6 to 18 years and 26 years later at a mean age of 38 years. Pediatric triglycerides (TGs), blood pressure, low-density lipoprotein cholesterol, body mass index, and glucose above and high-density lipoprotein cholesterol below established pediatric cutoffs, along with race, cigarette smoking, family history of CVD, T2DM, and HBP, were assessed as determinants of young adult CVD, a composite variable including IFG + T2DM and HBP. By stepwise logistic regression, adult CVD (19 yes, 862 no) was associated with pediatric high TG (odds ratio [OR], 5.85; 95% confidence interval [CI], 2.3-14.7). High TG in pediatric probands with young adult CVD was familial and was associated with early CVD in their high-TG parents. Adult IFG + T2DM (114 yes, 535 no) was associated with parental T2DM (OR, 2.2; 95% CI, 1.38-3.6), high childhood glucose (OR, 4.43; 95% CI, 2-9.7), and childhood cigarette smoking (OR, 1.64; 95% CI, 1.03-2.61). Adult HBP (133 yes, 475 no) was associated with pediatric high body mass index (OR, 2.7; 95% CI, 1.7-4.3) and HBP (OR, 2.5; 95% CI, 1.5-4.3). Pediatric risk factors are significantly, independently related to young adult CVD, IFG + T2DM, and HBP. Identification of pediatric risk factors for CVD, IFG + T2DM, and HBP facilitates initiation of primary prevention programs to reduce development of adult CVD, IFG + T2DM, and HBP. Copyright Â
© 2012 Elsevier Inc. All rights reserved.

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Year:  2011        PMID: 22001337      PMCID: PMC3324938          DOI: 10.1016/j.metabol.2011.08.010

Source DB:  PubMed          Journal:  Metabolism        ISSN: 0026-0495            Impact factor:   8.694


  56 in total

1.  The fourth report on the diagnosis, evaluation, and treatment of high blood pressure in children and adolescents.

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Journal:  Pediatrics       Date:  2004-08       Impact factor: 7.124

2.  Parental history of cardiovascular disease as an indication for screening for lipoprotein abnormalities in children.

Authors:  B A Dennison; D A Kikuchi; S R Srinivasan; L S Webber; G S Berenson
Journal:  J Pediatr       Date:  1989-08       Impact factor: 4.406

3.  The Lipid Research Clinics Coronary Primary Prevention Trial results. II. The relationship of reduction in incidence of coronary heart disease to cholesterol lowering.

Authors: 
Journal:  JAMA       Date:  1984-01-20       Impact factor: 56.272

4.  The association of low levels of HDL cholesterol and arteriographically defined coronary artery disease.

Authors:  T A Pearson; B H Bulkley; S C Achuff; P O Kwiterovich; L Gordis
Journal:  Am J Epidemiol       Date:  1979-03       Impact factor: 4.897

5.  Stability of variables associated with the metabolic syndrome from adolescence to adulthood: the Aerobics Center Longitudinal Study.

Authors:  Joey C Eisenmann; Gregory J Welk; Eric E Wickel; Steven N Blair
Journal:  Am J Hum Biol       Date:  2004 Nov-Dec       Impact factor: 1.937

6.  Five-year findings of the hypertension detection and follow-up program. II. Mortality by race-sex and age. Hypertension Detection and Follow-up Program Cooperative Group.

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Journal:  JAMA       Date:  1979-12-07       Impact factor: 56.272

7.  Prevalence of a metabolic syndrome phenotype in adolescents: findings from the third National Health and Nutrition Examination Survey, 1988-1994.

Authors:  Stephen Cook; Michael Weitzman; Peggy Auinger; Michael Nguyen; William H Dietz
Journal:  Arch Pediatr Adolesc Med       Date:  2003-08

8.  Cardiovascular risk factors in childhood and carotid artery intima-media thickness in adulthood: the Cardiovascular Risk in Young Finns Study.

Authors:  Olli T Raitakari; Markus Juonala; Mika Kähönen; Leena Taittonen; Tomi Laitinen; Noora Mäki-Torkko; Mikko J Järvisalo; Matti Uhari; Eero Jokinen; Tapani Rönnemaa; Hans K Akerblom; Jorma S A Viikari
Journal:  JAMA       Date:  2003-11-05       Impact factor: 56.272

9.  Relation of serum lipoprotein levels and systolic blood pressure to early atherosclerosis. The Bogalusa Heart Study.

Authors:  W P Newman; D S Freedman; A W Voors; P D Gard; S R Srinivasan; J L Cresanta; G D Williamson; L S Webber; G S Berenson
Journal:  N Engl J Med       Date:  1986-01-16       Impact factor: 91.245

10.  Accuracy of offspring reports of parental cardiovascular disease history: the Framingham Offspring Study.

Authors:  Joanne M Murabito; Byung-Ho Nam; Ralph B D'Agostino; Donald M Lloyd-Jones; Christopher J O'Donnell; Peter W F Wilson
Journal:  Ann Intern Med       Date:  2004-03-16       Impact factor: 25.391

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  27 in total

Review 1.  Posttransplant metabolic syndrome in children and adolescents after liver transplantation: a systematic review.

Authors:  Emily Rothbaum Perito; Audrey Lau; Sue Rhee; John P Roberts; Philip Rosenthal
Journal:  Liver Transpl       Date:  2012-09       Impact factor: 5.799

2.  Long-Term Effects of Childhood Risk Factors on Cardiovascular Health During Adulthood.

Authors:  Roman Shrestha; Michael Copenhaver
Journal:  Clin Med Rev Vasc Health       Date:  2015-08-12

3.  Metabolic Risk Factors and Type 2 Diabetes Incidence in American Indian Children.

Authors:  Kevin M Wheelock; Madhumita Sinha; William C Knowler; Robert G Nelson; Gudeta D Fufaa; Robert L Hanson
Journal:  J Clin Endocrinol Metab       Date:  2016-02-25       Impact factor: 5.958

4.  Sleep duration predicts cardiometabolic risk in obese adolescents.

Authors:  Heidi B Iglayreger; Mark D Peterson; Dongmei Liu; Christine A Parker; Susan J Woolford; Bethany J Sallinen Gafka; Fauziya Hassan; Paul M Gordon
Journal:  J Pediatr       Date:  2014-03-06       Impact factor: 4.406

5.  Infant feeding patterns over the first year of life: influence of family characteristics.

Authors:  A Betoko; M-A Charles; R Hankard; A Forhan; M Bonet; M-J Saurel-Cubizolles; B Heude; B de Lauzon-Guillain
Journal:  Eur J Clin Nutr       Date:  2013-01-09       Impact factor: 4.016

Review 6.  Adding a life-course perspective to cardiovascular-risk communication.

Authors:  Kunal N Karmali; Donald M Lloyd-Jones
Journal:  Nat Rev Cardiol       Date:  2013-01-08       Impact factor: 32.419

7.  Components of the metabolic syndrome in early childhood in very-low-birth-weight infants and term small and appropriate for gestational age infants.

Authors:  Miranda de Jong; Anneke Cranendonk; Mirjam M van Weissenbruch
Journal:  Pediatr Res       Date:  2015-06-18       Impact factor: 3.756

8.  Childhood BMI and Fasting Glucose and Insulin Predict Adult Type 2 Diabetes: The International Childhood Cardiovascular Cohort (i3C) Consortium.

Authors:  Tian Hu; David R Jacobs; Alan R Sinaiko; Lydia A Bazzano; Trudy L Burns; Stephen R Daniels; Terry Dwyer; Nina Hutri-Kähönen; Markus Juonala; Kari A Murdy; Ronald J Prineas; Olli T Raitakari; Elaine M Urbina; Alison Venn; Jessica G Woo; Julia Steinberger
Journal:  Diabetes Care       Date:  2020-09-01       Impact factor: 19.112

9.  A double-blind randomized trial of fish oil to lower triglycerides and improve cardiometabolic risk in adolescents.

Authors:  Samuel S Gidding; Carol Prospero; Jobayer Hossain; Frances Zappalla; Prabhakaran Babu Balagopal; Bonita Falkner; Peter Kwiterovich
Journal:  J Pediatr       Date:  2014-07-07       Impact factor: 4.406

10.  Using high-dose omega-3 fatty acid supplements to lower triglyceride levels in 10- to 19-year-olds.

Authors:  Sarah D de Ferranti; Carly E Milliren; Erica R Denhoff; Sarah K Steltz; Elif Seda Selamet Tierney; Henry A Feldman; Stavroula K Osganian
Journal:  Clin Pediatr (Phila)       Date:  2014-05       Impact factor: 1.168

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