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Assessing metabolic syndrome in people with ID (intellectual disabilities) on antipsychotic medication

Published online by Cambridge University Press:  30 July 2014

A. Carballedo ,
A. Doran ,
M. Doyle ,
S. Flavin ,
J. Tyrrel ,
F. Kelly ,
S. Guerin  and
P. Dodd
A. Carballedo*
Affiliation:
St. Michael’s House, Ballymun Road, Dublin, Ireland Institute of Neuroscience, Trinity College Dublin, College Green, Dublin, Ireland
A. Doran
Affiliation:
St. Michael’s House, Ballymun Road, Dublin, Ireland
M. Doyle
Affiliation:
Institute of Neuroscience, Trinity College Dublin, College Green, Dublin, Ireland
S. Flavin
Affiliation:
St. Michael’s House, Ballymun Road, Dublin, Ireland
J. Tyrrel
Affiliation:
St. Michael’s House, Ballymun Road, Dublin, Ireland
F. Kelly
Affiliation:
St. Michael’s House, Ballymun Road, Dublin, Ireland
S. Guerin
Affiliation:
St. Michael’s House, Ballymun Road, Dublin, Ireland
P. Dodd
Affiliation:
St. Michael’s House, Ballymun Road, Dublin, Ireland
*
*Address for correspondence: Dr A. Carballedo, LMC, MRCPsych, MD, Consultant Psychiatrist and Clinical Senior Lecturer, Institute of Neuroscience, Trinity College Dublin, College Green, Dublin D2, Ireland. (Email: carbala@tcd.ie; angelacarballedo@yahoo.es)
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Abstract

Aims

To identify whether clinical information routinely collected and recorded on clinical files is available for the identification of metabolic syndrome and to assess the prevalence of risk factors for the syndrome in a sample of people with intellectual disabilities (ID) and mental illness treated with antipsychotic medication.

Methods

A retrospective analysis was performed for 76 adults with ID and comorbid mental illness, for whom treatment with antipsychotic medication was established. Statistical analysis was performed using SPSS 16.0. The Student t-test for parametric data and χ2-test for non-parametrical data were used.

Results

Five of the six criteria for metabolic syndrome were available in all or a high proportion of the files, however no measurement for waist circumference was recorded in any of the files. Aripiprazole appears to be the least risky antipsychotic for metabolic syndrome.

Conclusion

It is important to develop a systematic protocol to record diagnostic variables for metabolic syndrome in at risk populations such as those with ID and mental illness treated with regular antipsychotics.

Type
Original Research
Information
Irish Journal of Psychological Medicine , Volume 31 , Issue 4 , December 2014 , pp. 245 - 251
Copyright
© College of Psychiatrists of Ireland 2014 

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