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Published on: September 17, 2009
A genetic model for multimorbidity in young adults
Sarah L Malecki1,2, Spencer Van Mil2, Justin Graffi2
1Internal Medicine Residency Program, University of Toronto, Toronto, ON, Canada.
Young adults with 22q11.2 deletion syndrome (22q11.2DS) experience significantly higher multimorbidity than the general population. This genetic model highlights the need to study illness burden in younger adults.
Area of Science:
- Genetics and Medicine
- Public Health
- Clinical Research
Background:
- Multimorbidity is rising in younger adults, yet remains understudied in this demographic.
- 22q11.2 deletion syndrome (22q11.2DS) serves as a valuable genetic model for investigating multimorbidity in young to middle-aged adults.
Purpose of the Study:
- To investigate the prevalence and patterns of multimorbidity in adults with 22q11.2DS.
- To compare multimorbidity rates in 22q11.2DS adults with the general population.
- To identify predictors of multimorbidity within the 22q11.2DS cohort.
Main Methods:
- Utilized the Anatomical Therapeutic Chemical (ATC) Classification System to categorize medications.
- Defined multimorbidity as the concurrent use of five or more prescription medications.
- Compared data from 264 adults with 22q11.2DS against a Canadian general population sample (n=25,287) using logistic regression.
Main Results:
- Adults with 22q11.2DS aged 25-44 exhibited significantly higher multimorbidity (34.7%) compared to the general population (2.9% for the same age group, 16.4% for 45-64 year olds).
- Neuropsychiatric and endocrinological medication classes were predominant.
- Older age and psychotic illness predicted multimorbidity in 22q11.2DS, while sex, congenital heart disease, and intellectual disability did not.
Conclusions:
- Adults with 22q11.2DS face a substantial illness burden, with multimorbidity levels akin to much older general population cohorts.
- Identifying specific disease patterns in younger adults with multimorbidity may aid in detecting genetic disorders within large datasets.
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