TY - JOUR
T1 - Body mass, cardiovascular risk and metabolic characteristics of young persons presenting for mental healthcare in Sydney, Australia
AU - Scott, Elizabeth M.
AU - Hermens, Daniel F.
AU - White, Django
AU - Naismith, Sharon L.
AU - GeHue, Jeanne
AU - Whitwell, Bradley G.
AU - Glozier, Nick
AU - Hickie, Ian B.
N1 - Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.
PY - 2015/3/27
Y1 - 2015/3/27
N2 - Objectives: To determine the body mass, cardiovascular and metabolic characteristics of young people presenting for mental healthcare. Design: Cross-sectional assessments of body mass, cardiovascular and metabolic risk factors. Setting: Two primary-care based sites in Sydney, Australia for young people in the early stages of mental disorders. Participants: A clinical sample of young people (12-30 years) with mental health problems. Outcome measures: 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.
AB - Objectives: To determine the body mass, cardiovascular and metabolic characteristics of young people presenting for mental healthcare. Design: Cross-sectional assessments of body mass, cardiovascular and metabolic risk factors. Setting: Two primary-care based sites in Sydney, Australia for young people in the early stages of mental disorders. Participants: A clinical sample of young people (12-30 years) with mental health problems. Outcome measures: 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.
UR - http://www.scopus.com/inward/record.url?scp=84926675435&partnerID=8YFLogxK
U2 - 10.1136/bmjopen-2014-007066
DO - 10.1136/bmjopen-2014-007066
M3 - Article
C2 - 25818274
AN - SCOPUS:84926675435
SN - 2044-6055
VL - 5
SP - 1
EP - 8
JO - BMJ Open
JF - BMJ Open
IS - 3
M1 - e007066
ER -