Literature DB >> 20096893

Hyperinsulinemia and metabolic syndrome at mean age of 10 years in black and white schoolgirls and development of impaired fasting glucose and type 2 diabetes mellitus by mean age of 24 years.

John A Morrison1, Charles J Glueck, Muhammad Umar, Stephen Daniels, Lawrence M Dolan, Ping Wang.   

Abstract

The objective of the study was to evaluate preteen insulin and metabolic syndrome (MS) as independent predictors of impaired fasting glucose (IFG) and type 2 diabetes mellitus (T2DM) in black and white females by mean age of 24 years. This was a prospective cohort study. There were 8 measures of fasting glucose and insulin from mean age of 10 years through mean age of 24 years, and insulin also at mean age of 25 years. Childhood MS was defined by at least 3 abnormal values among waist circumference, triglyceride, high-density lipoprotein cholesterol, blood pressure, and glucose. Hyperinsulinemia was defined by insulin greater than or equal to race-specific 75th percentile. Patients with type 1 diabetes mellitus were excluded. The study was held in schools and in an outpatient clinical center. Participants were schoolgirls (260 white, 296 black). There was no intervention. The outcome measures were IFG (fasting glucose of at least 100 to 125 mg/dL) and T2DM (fasting glucose of at least 126 mg/dL). By the age of 24 years, there were 11 cases of T2DM (2%) and 108 cases of IFG (19%). By the age of 24 years, IFG + T2DM was present in 18% of women (73/412) who had normal insulin-no MS at the age of 10 years vs 28% (34/122) of those with high insulin-no MS at the age of 10 years (P = .014) and 67% (10/15) of those with high insulin + MS at the age of 10 years (P < .0001). By stepwise logistic regression, significant, independent, positive predictors of IFG + T2DM were first insulin measure in childhood, age at last sampling, childhood MS, change in body mass index over 15 years, and, separately, initial glucose of at least 100 mg/dL and average of all insulin quartile ranks over 15 years. The correlation between childhood insulin z score and insulin z score 15 years later was r = .30, P < .0001. Insulin and MS at a mean age of 10 years plus change in body mass index over 15 years, and 15-year average insulin rank independently predict IFG + T2DM by mean age of 24 years, suggesting avenues for primary prevention.
Copyright © 2011 Elsevier Inc. All rights reserved.

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Year:  2010        PMID: 20096893     DOI: 10.1016/j.metabol.2009.12.013

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


  9 in total

1.  Pediatric non-high-density lipoprotein cholesterol, the metabolic syndrome, and insulin resistance.

Authors:  Charles J Glueck; John A Morrison
Journal:  J Pediatr       Date:  2010-10-29       Impact factor: 4.406

2.  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

3.  Association between chlorinated pesticides in the serum of prepubertal Russian boys and longitudinal biomarkers of metabolic function.

Authors:  Jane S Burns; Paige L Williams; Susan A Korrick; Russ Hauser; Oleg Sergeyev; Boris Revich; Thuy Lam; Mary M Lee
Journal:  Am J Epidemiol       Date:  2014-09-25       Impact factor: 4.897

4.  Metabolic Syndrome in Hispanic Youth: Results from the Hispanic Community Children's Health Study/Study of Latino Youth.

Authors:  Samantha A Reina; Maria M Llabre; Denise C Vidot; Carmen R Isasi; Krista Perreira; Mercedes Carnethon; Christina M Parrinello; Linda C Gallo; Guadalupe X Ayala; Alan Delamater
Journal:  Metab Syndr Relat Disord       Date:  2017-08-22       Impact factor: 1.894

5.  Ramifications of adolescent menstrual cycles ≥42 days in young adults.

Authors:  John A Morrison; Charles J Glueck; Stephen Daniels; Ping Wang; Davis Stroop
Journal:  Fertil Steril       Date:  2011-05-07       Impact factor: 7.329

6.  Determinants of ApoB, ApoA1, and the ApoB/ApoA1 ratio in healthy schoolgirls, prospectively studied from mean ages 10 to 19 years: the Cincinnati National Growth and Health Study.

Authors:  John A Morrison; Charles J Glueck; Stephen R Daniels; Paul S Horn; Ping Wang
Journal:  Metabolism       Date:  2012-04-16       Impact factor: 8.694

7.  Evaluation of clinical and laboratory markers of cardiometabolic risk in overweight and obese children and adolescents.

Authors:  Heloísa Marcelina da Cunha Palhares; Adriana Paula da Silva; Daniela Cristina Silva Resende; Gilberto de Araújo Pereira; Virmondes Rodrigues; Maria de Fátima Borges
Journal:  Clinics (Sao Paulo)       Date:  2017-01-01       Impact factor: 2.365

Review 8.  What is metabolic syndrome, and why are children getting it?

Authors:  Ram Weiss; Andrew A Bremer; Robert H Lustig
Journal:  Ann N Y Acad Sci       Date:  2013-01-28       Impact factor: 5.691

9.  ASSOCIATION BETWEEN ACANTHOSIS NIGRICANS AND OTHER CARDIOMETABOLIC RISK FACTORS IN CHILDREN AND ADOLESCENTS WITH OVERWEIGHT AND OBESITY.

Authors:  Heloísa Marcelina da Cunha Palhares; Paula Cunha Zaidan; Fernanda Cristina Mattos Dib; Adriana Paula da Silva; Daniela Cristina Silva Resende; Maria de Fátima Borges
Journal:  Rev Paul Pediatr       Date:  2018 Jul-Sep
  9 in total

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