Literature DB >> 10421238

Temporal association between obesity and hyperinsulinemia in children, adolescents, and young adults: the Bogalusa Heart Study.

S R Srinivasan1, L Myers, G S Berenson.   

Abstract

Obesity is generally associated with hyperinsulinemia. However, whether obesity precedes or follows hyperinsulinemia is not clear. The present study examined the temporal nature of the association between obesity and hyperinsulinemia in a biracial (black-white) community-based population enrolled in the Bogalusa Heart Study. Three longitudinal cohorts of children (n = 427; baseline age, 5 to 7 years), adolescents (n = 674; baseline age, 12 to 14 years), and young adults (n = 396; baseline age, 20 to 24 years) were selected retrospectively, with a follow-up period of approximately 3 years. In general, longitudinal changes in the mean body mass index (kilograms per meter squared), an indicator of adiposity, and fasting insulin level did not parallel each other. In a bivariate analysis, baseline insulin levels correlated significantly with the follow-up body mass index in adolescents and adults, but not in children. On the other hand, the baseline body mass index correlated significantly with follow-up insulin levels in all cases. Logistic regression analysis showed that the proportion of subjects who developed obesity (body mass index > 75th percentile, specific for age, race, gender, and survey year) at follow-up study increased significantly across baseline quintiles (specific for age, race, gender, and survey year) of insulin only among adolescents, irrespective of race and gender. This relationship disappeared after adjusting for the baseline body mass index. By contrast, a significant positive trend between baseline quintiles of the body mass index and incidence of hyperinsulinemia (> 75th percentile) at follow-up study was noted among all age groups independent of race, gender, and baseline insulin levels. Further, in a multiple stepwise regression model, the best predictor of the follow-up insulin level was the baseline body mass index in children and adults and the baseline insulin in adolescents. The baseline body mass index was the best predictor of the follow-up body mass index in all three age groups. These results, by showing the temporal nature of the relation between obesity and hyperinsulinemia beginning in childhood, support the role of obesity in the development of hyperinsulinemia.

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Year:  1999        PMID: 10421238     DOI: 10.1016/s0026-0495(99)90231-7

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


  20 in total

1.  Pediatric metabolic syndrome predicts adulthood metabolic syndrome, subclinical atherosclerosis, and type 2 diabetes mellitus but is no better than body mass index alone: the Bogalusa Heart Study and the Cardiovascular Risk in Young Finns Study.

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

2.  Temporal Relationship Between Childhood Body Mass Index and Insulin and Its Impact on Adult Hypertension: The Bogalusa Heart Study.

Authors:  Tao Zhang; Huijie Zhang; Ying Li; Dianjianyi Sun; Shengxu Li; Camilo Fernandez; Lu Qi; Emily Harville; Lydia Bazzano; Jiang He; Fuzhong Xue; Wei Chen
Journal:  Hypertension       Date:  2016-07-18       Impact factor: 10.190

3.  NEEMA: a school-based diabetes risk prevention program designed for African-American children.

Authors:  Mary Shaw-Perry; Charlotte Horner; Roberto P Treviño; Erica T Sosa; Irene Hernandez; Abhishek Bhardwaj
Journal:  J Natl Med Assoc       Date:  2007-04       Impact factor: 1.798

4.  Sleep Apnea and Metabolic Dysfunction: Cause or Co-Relation?

Authors:  R Nisha Aurora; Naresh M Punjabi
Journal:  Sleep Med Clin       Date:  2007-06-01

Review 5.  Childhood obesity and cardiovascular disease: links and prevention strategies.

Authors:  Kristen J Nadeau; David M Maahs; Stephen R Daniels; Robert H Eckel
Journal:  Nat Rev Cardiol       Date:  2011-06-14       Impact factor: 32.419

6.  Thyroid hormones before and after weight loss in obesity.

Authors:  T Reinehr; W Andler
Journal:  Arch Dis Child       Date:  2002-10       Impact factor: 3.791

7.  Impact of Adiposity on Incident Hypertension Is Modified by Insulin Resistance in Adults: Longitudinal Observation From the Bogalusa Heart Study.

Authors:  Tao Zhang; Huijie Zhang; Shengxu Li; Ying Li; Yaozhong Liu; Camilo Fernandez; Emily Harville; Lydia Bazzano; Jiang He; Wei Chen
Journal:  Hypertension       Date:  2015-11-16       Impact factor: 10.190

8.  Association of serum C-reactive protein and indices of body fat distribution and overweight in Mexican American children.

Authors:  R F Gillum
Journal:  J Natl Med Assoc       Date:  2003-07       Impact factor: 1.798

9.  Insulin-sensitive adiposity is associated with a relatively lower risk of diabetes than insulin-resistant adiposity: the Bogalusa Heart Study.

Authors:  Tao Zhang; Ying Li; Huijie Zhang; Dianjianyi Sun; Shengxu Li; Camilo Fernandez; Emily Harville; Lydia Bazzano; Jiang He; Wei Chen
Journal:  Endocrine       Date:  2016-04-08       Impact factor: 3.633

10.  Utility of childhood glucose homeostasis variables in predicting adult diabetes and related cardiometabolic risk factors: the Bogalusa Heart Study.

Authors:  Quoc Manh Nguyen; Sathanur R Srinivasan; Ji-Hua Xu; Wei Chen; Lyn Kieltyka; Gerald S Berenson
Journal:  Diabetes Care       Date:  2009-12-15       Impact factor: 17.152

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