title: Does sleep duration predict metabolic risk in obese adolescents attending tertiary services? A cross-sectional study.
abstract: OBJECTIVE
  To determine, in a clinical sample of obese adolescents, whether shorter sleep duration is associated with metabolic risk and obesity severity.
  
  
  METHODS
  Cross-sectional study.
  
  
  METHODS
  Tertiary care weight-management clinic in Cincinnati, OH, USA.
  
  
  METHODS
  133 obese adolescents aged 10-16.9 years.
  
  
  METHODS
  N/A.
  
  
  METHODS
  Multifaceted sleep duration data were examined with fasting venipuncture and anthropometric data collected during clinical care.
  
  
  METHODS
  presence of metabolic syndrome.
  
  
  RESULTS
  waist circumference, triglycerides, HDL-cholesterol, blood pressure, glucose, insulin resistance (HOMA-IR), and body mass index (BMI).
  
  
  METHODS
  Sleep duration by (1) parent-report, (2) self-report, and (3) multi-night actigraphy.
  
  
  METHODS
  Relationships between sleep duration and each outcome were examined via regression models, adjusted for potential confounders.
  
  
  RESULTS
  Regardless of how measured, sleep duration showed no strong association with metabolic syndrome (OR 1.1 to 1.5, P = 0.2 to 0.8), BMI (β -0.03 to -0.01, P = 0.2 to 0.8), or most other outcomes. Lower triglycerides were predicted by shorter sleep duration by self-report (β 12.3, P = 0.01) and actigraphy (β 13.6, P = 0.03), and shorter parent-reported sleep duration was associated with higher HDL-cholesterol (β = -2.7, P = 0.002).
  
  
  CONCLUSIONS
  Contrary to expectations, sleep duration was not associated with metabolic outcomes, and showed limited associations with lipid profiles. Although inadequate sleep may affect other areas of functioning, it appears premature to expect that lengthening sleep will improve BMI or metabolic outcomes in clinical samples of obese adolescents.
authors: Centre for Community Child Health, Royal Children’s Hospital and Murdoch Children’s Research Institute, Royal Children’s Hospital, Parkville, Victoria, Australia. Valerie.sung@rch.org.au
authors: Valerie
authors: V
authors: Sung
authors: Dean W
authors: DW
authors: Beebe
authors: Rhonda
authors: R
authors: Vandyke
authors: Matthew C
authors: MC
authors: Fenchel
authors: Nancy A
authors: NA
authors: Crimmins
authors: Shelley
authors: S
authors: Kirk
authors: Harriet
authors: H
authors: Hiscock
authors: Raouf
authors: R
authors: Amin
authors: Melissa
authors: M
authors: Wake
mesh_terms: D000293:Adolescent; D001794:Blood Pressure; D015992:Body Mass Index; D002318:Cardiovascular Diseases / Q000453:epidemiology*; D002648:Child; D008076:Cholesterol, HDL / Q000097:blood; D015986:Confounding Factors, Epidemiologic; D003430:Cross-Sectional Studies; D005260:Female; D005544:Forecasting; D006801:Humans; D007333:Insulin Resistance; D008297:Male; D009765:Obesity / Q000145:classification* / Q000453:epidemiology; D009820:Ohio / Q000453:epidemiology; D012306:Risk; D012720:Severity of Illness Index; D012890:Sleep; D012893:Sleep Wake Disorders; D014280:Triglycerides / Q000097:blood
chemical_list: D008076:Cholesterol, HDL; D014280:Triglycerides