title: Body mass, cardiovascular risk and metabolic characteristics of young persons presenting for mental healthcare in Sydney, Australia.
abstract: OBJECTIVE
  To determine the body mass, cardiovascular and metabolic characteristics of young people presenting for mental healthcare.
  
  
  METHODS
  Cross-sectional assessments of body mass, cardiovascular and metabolic risk factors.
  
  
  METHODS
  Two primary-care based sites in Sydney, Australia for young people in the early stages of mental disorders.
  
  
  METHODS
  A clinical sample of young people (12-30 years) with mental health problems.
  
  
  METHODS
  Daily smoking rates, body mass index (BMI), blood glucose and lipids, blood pressure (BP) and pulse rate.
  
  
  RESULTS
  Of 1005 young people who had their BMI determined (62% female; 19.0±3.5 years), three quarters (739/1005) also had BP recordings and one-third (298/1005) had blood sampling. Clinically, 775 were assigned to one of three diagnostic categories (anxious-depression: n=541; mania-fatigue, n=104; developmental-psychotic n=130). The profile of BMI categories approximated that of the comparable segments of the Australian population. Older age, lower levels of social functioning and higher systolic BP were all associated with high BMI. In a subset (n=129), current use of any psychotropic medication was associated (p<0.05) with increased BMI. Almost one-third of cases were current daily smokers (compared to population rate of 11%). Males had a higher proportion of raised glucose and high-density lipoprotein (HDL) compared to females (9.3% and 34.1% vs 2.1% and 5.9%, respectively). Overall, there was no relationship between BMI and fasting glucose but significant relationships with triglycerides and HDL were noted. Furthermore, there were no significant relationships between diagnostic subgroup and metabolic profiles.
  
  
  CONCLUSIONS
  Daily smoking rates are increased among young people presenting for mental healthcare. However, these young people do not demonstrate adverse cardiometabolic profiles. The high levels of smoking, and association of BMI with adverse social circumstances, suggest that risk factors for chronic disease are already present and likely to be compounded by medication and social disadvantage.
authors.affiliation: Clinical Research Unit, Brain & Mind Research Institute, University of Sydney, Camperdown, New South Wales, Australia.
authors.forename: Elizabeth M
authors.initials: EM
authors.lastname: Scott
authors.affiliation: Clinical Research Unit, Brain & Mind Research Institute, University of Sydney, Camperdown, New South Wales, Australia.
authors.forename: Daniel F
authors.initials: DF
authors.lastname: Hermens
authors.affiliation: Clinical Research Unit, Brain & Mind Research Institute, University of Sydney, Camperdown, New South Wales, Australia.
authors.forename: Django
authors.initials: D
authors.lastname: White
authors.affiliation: Clinical Research Unit, Brain & Mind Research Institute, University of Sydney, Camperdown, New South Wales, Australia.
authors.forename: Sharon L
authors.initials: SL
authors.lastname: Naismith
authors.affiliation: Clinical Research Unit, Brain & Mind Research Institute, University of Sydney, Camperdown, New South Wales, Australia.
authors.forename: Jeanne
authors.initials: J
authors.lastname: GeHue
authors.affiliation: Clinical Research Unit, Brain & Mind Research Institute, University of Sydney, Camperdown, New South Wales, Australia.
authors.forename: Bradley G
authors.initials: BG
authors.lastname: Whitwell
authors.affiliation: Clinical Research Unit, Brain & Mind Research Institute, University of Sydney, Camperdown, New South Wales, Australia.
authors.forename: Nick
authors.initials: N
authors.lastname: Glozier
authors.affiliation: Clinical Research Unit, Brain & Mind Research Institute, University of Sydney, Camperdown, New South Wales, Australia.
authors.forename: Ian B
authors.initials: IB
authors.lastname: Hickie
mesh_terms: D000293:Adolescent; D000367:Age Factors; D000928:Antidepressive Agents / Q000627:therapeutic use; D014150:Antipsychotic Agents / Q000627:therapeutic use; D001315:Australia / Q000453:epidemiology; D001786:Blood Glucose / Q000032:analysis; D001794:Blood Pressure; D015992:Body Mass Index; D002648:Child; D003430:Cross-Sectional Studies; D005260:Female; D006339:Heart Rate; D006801:Humans; D008075:Lipoproteins, HDL / Q000097:blood; D008297:Male; D001523:Mental Disorders / Q000188:drug therapy / Q000453:epidemiology* / Q000503:physiopathology*; D009765:Obesity / Q000453:epidemiology / Q000503:physiopathology; D012307:Risk Factors; D012737:Sex Factors; D012907:Smoking / Q000453:epidemiology; D012959:Socioeconomic Factors; D013851:Thinness / Q000453:epidemiology / Q000503:physiopathology; D014280:Triglycerides / Q000097:blood; D055815:Young Adult
chemical_list: D000928:Antidepressive Agents; D014150:Antipsychotic Agents; D001786:Blood Glucose; D008075:Lipoproteins, HDL; D014280:Triglycerides
keywords: MENTAL HEALTH; blood chemistry; body mass index; metabolic; young people
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