Literature DB >> 24612904

Sleep duration predicts cardiometabolic risk in obese adolescents.

Heidi B Iglayreger1, Mark D Peterson1, Dongmei Liu1, Christine A Parker1, Susan J Woolford2, Bethany J Sallinen Gafka3, Fauziya Hassan4, Paul M Gordon5.   

Abstract

OBJECTIVE: To examine the independent contributions of objectively measured sleep duration and fragmentation on cardiometabolic risk accumulation in free-living obese adolescents. STUDY
DESIGN: Characteristics of metabolic syndrome (waist circumference, mean arterial pressure, fasting high-density lipoprotein cholesterol, triglycerides, glucose) were measured in obese adolescents and standardized residuals (z-scores) were summed (inverse high-density lipoprotein cholesterol) to create a continuous cardiometabolic risk score (cMetScore), adjusted for age, sex, and race. Sleep and physical activity were objectively measured in habitual, free-living conditions for 7 days (SenseWear Pro3, BodyMedia, Pittsburgh, Pennsylvania; n = 37; 54% female, ages 11-17 years). Associations between sleep duration and cMetScore were assessed via multiple linear regression.
RESULTS: Body mass index, total sleep time, and sleep session length were each correlated with cMetScore (P < .05 all). Total sleep time was inversely and independently associated with cMetScore (r = -0.535, P = .001) and was the best independent predictor of metabolic risk.
CONCLUSIONS: Sleep duration inversely predicts cardiometabolic risk in obese adolescents, even when we controlled for various measures of physical activity, anthropometry, and adiposity. Further research should investigate the biological mechanism of this relationship and the potential treatment effect of sleep intervention in decreasing cardiometabolic risk in this population.
Copyright © 2014 Elsevier Inc. All rights reserved.

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Year:  2014        PMID: 24612904      PMCID: PMC4121116          DOI: 10.1016/j.jpeds.2014.01.034

Source DB:  PubMed          Journal:  J Pediatr        ISSN: 0022-3476            Impact factor:   4.406


  56 in total

1.  Sleep duration and emerging cardiometabolic risk markers in adolescents. The AFINOS study.

Authors:  David Martinez-Gomez; Joey C Eisenmann; Sonia Gomez-Martinez; Emily E Hill; Belen Zapatera; Oscar L Veiga; Ascension Marcos
Journal:  Sleep Med       Date:  2011-10-28       Impact factor: 3.492

2.  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.

Authors:  John A Morrison; Charles J Glueck; Ping Wang
Journal:  Metabolism       Date:  2011-10-14       Impact factor: 8.694

3.  Short sleep duration is associated with increased obesity markers in European adolescents: effect of physical activity and dietary habits. The HELENA study.

Authors:  M Garaulet; F B Ortega; J R Ruiz; J P Rey-López; L Béghin; Y Manios; M Cuenca-García; M Plada; K Diethelm; A Kafatos; D Molnár; J Al-Tahan; L A Moreno
Journal:  Int J Obes (Lond)       Date:  2011-07-26       Impact factor: 5.095

4.  Normative values of polysomnographic parameters in childhood and adolescence: quantitative sleep parameters.

Authors:  Sabine Scholle; Uta Beyer; Michael Bernhard; Stephan Eichholz; Thomas Erler; Petra Graness; Barbara Goldmann-Schnalke; Katharina Heisch; Frank Kirchhoff; Karsten Klementz; Gerhard Koch; Annmarie Kramer; Christoph Schmidtlein; Barbara Schneider; Birgit Walther; Alfred Wiater; Hans Christoph Scholle
Journal:  Sleep Med       Date:  2011-05-20       Impact factor: 3.492

5.  Does sleep duration predict metabolic risk in obese adolescents attending tertiary services? A cross-sectional study.

Authors:  Valerie Sung; Dean W Beebe; Rhonda Vandyke; Matthew C Fenchel; Nancy A Crimmins; Shelley Kirk; Harriet Hiscock; Raouf Amin; Melissa Wake
Journal:  Sleep       Date:  2011-07-01       Impact factor: 5.849

6.  Prevalence of cardiovascular disease risk factors among US adolescents, 1999-2008.

Authors:  Ashleigh L May; Elena V Kuklina; Paula W Yoon
Journal:  Pediatrics       Date:  2012-05-21       Impact factor: 7.124

7.  Childhood adiposity, adult adiposity, and cardiovascular risk factors.

Authors:  Markus Juonala; Costan G Magnussen; Gerald S Berenson; Alison Venn; Trudy L Burns; Matthew A Sabin; Sathanur R Srinivasan; Stephen R Daniels; Patricia H Davis; Wei Chen; Cong Sun; Michael Cheung; Jorma S A Viikari; Terence Dwyer; Olli T Raitakari
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8.  From sleep duration to childhood obesity--what are the pathways?

Authors:  Claudia Börnhorst; Sabrina Hense; Wolfgang Ahrens; Antje Hebestreit; Lucia Reisch; Gianvincenzo Barba; Rüdiger von Kries; Otmar Bayer
Journal:  Eur J Pediatr       Date:  2012-01-12       Impact factor: 3.183

9.  Prevalence of obesity and trends in body mass index among US children and adolescents, 1999-2010.

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Journal:  JAMA       Date:  2012-01-17       Impact factor: 56.272

10.  Youth risk behavior surveillance - United States, 2011.

Authors:  Danice K Eaton; Laura Kann; Steve Kinchen; Shari Shanklin; Katherine H Flint; Joseph Hawkins; William A Harris; Richard Lowry; Tim McManus; David Chyen; Lisa Whittle; Connie Lim; Howell Wechsler
Journal:  MMWR Surveill Summ       Date:  2012-06-08
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  14 in total

Review 1.  Sleep characteristics and cardiovascular risk in children and adolescents: an enumerative review.

Authors:  Karen A Matthews; Elizabeth J M Pantesco
Journal:  Sleep Med       Date:  2015-06-23       Impact factor: 3.492

2.  Longitudinal differences in sleep duration in Hispanic and Caucasian children.

Authors:  Daniel Combs; James L Goodwin; Stuart F Quan; Wayne J Morgan; Sairam Parthasarathy
Journal:  Sleep Med       Date:  2015-06-29       Impact factor: 3.492

Review 3.  Chronomedicine and type 2 diabetes: shining some light on melatonin.

Authors:  Andrew C Forrestel; Susanne U Miedlich; Michael Yurcheshen; Steven D Wittlin; Michael T Sellix
Journal:  Diabetologia       Date:  2016-12-16       Impact factor: 10.122

Review 4.  Adolescent's Health Behaviors and Risk for Insulin Resistance: A Review of the Literature.

Authors:  Jill L Kaar; Stacey L Simon; Sarah J Schmiege; Kristen J Nadeau; Megan M Kelsey
Journal:  Curr Diab Rep       Date:  2017-07       Impact factor: 4.810

Review 5.  Obesity and Altered Sleep: A Pathway to Metabolic Derangements in Children?

Authors:  Fahed Hakim; Leila Kheirandish-Gozal; David Gozal
Journal:  Semin Pediatr Neurol       Date:  2015-04-22       Impact factor: 1.636

Review 6.  Development of a Behavioral Sleep Intervention as a Novel Approach for Pediatric Obesity in School-aged Children.

Authors:  Chantelle N Hart; Nicola L Hawley; Rena R Wing
Journal:  Sleep Med Clin       Date:  2016-10-27

Review 7.  Development of a Behavioral Sleep Intervention as a Novel Approach for Pediatric Obesity in School-aged Children.

Authors:  Chantelle N Hart; Nicola L Hawley; Rena R Wing
Journal:  Pediatr Clin North Am       Date:  2016-06       Impact factor: 3.278

8.  The association of quality of life and personality characteristics with adolescent metabolic syndrome: a cohort study.

Authors:  Xiaohua Liang; Peng Zhang; Shunqing Luo; Guifang Zhang; Xian Tang; Lingjuan Liu
Journal:  Health Qual Life Outcomes       Date:  2021-06-08       Impact factor: 3.186

9.  SOCR data dashboard: an integrated big data archive mashing medicare, labor, census and econometric information.

Authors:  Syed S Husain; Alexandr Kalinin; Anh Truong; Ivo D Dinov
Journal:  J Big Data       Date:  2015

Review 10.  Novelty in hypertension in children and adolescents: focus on hypertension during the first year of life, use and interpretation of ambulatory blood pressure monitoring, role of physical activity in prevention and treatment, simple carbohydrates and uric acid as risk factors.

Authors:  Mirella Strambi; Marco Giussani; Maria Amalia Ambruzzi; Paolo Brambilla; Ciro Corrado; Ugo Giordano; Claudio Maffeis; Silvio Maringhin; Maria Chiara Matteucci; Ettore Menghetti; Patrizia Salice; Federico Schena; Pietro Strisciuglio; Giuliana Valerio; Francesca Viazzi; Raffaele Virdis; Simonetta Genovesi
Journal:  Ital J Pediatr       Date:  2016-07-16       Impact factor: 2.638

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