| Application: | 61530, Multimodal subtyping of mental illness across the adult lifespan through integration of multi-scale whole-person phenotypes |
| Title: | Association of accelerometer-derived sleep measures with lifetime psychiatric diagnoses |
| Size: | 3.7 MB |
| Archived: | 5 Dec 2023 |
| Stability: | Complete |
| Personal: | Contains individual-level data |
Return 2243
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Notes
This return contains 10 interpretable sleep measures: bedtime, wake-up time, sleep duration, wake after sleep onset, sleep efficiency, number of awakenings, duration of longest sleep bout, number of naps, and variability in bedtime and sleep duration, derived from 7-day accelerometry recordings taken between 2013 and 2015.Application 61530
Multimodal subtyping of mental illness across the adult lifespan through integration of multi-scale whole-person phenotypes
In recent years, scientists have begun to realize that mental illnesses affecting people across the adult lifespan (such as depression, anxiety, bipolar disorder, schizophrenia, addictions, and Alzheimer's disease) are actually made up of multiple "disease subtypes", each with their own distinct set of symptoms and underlying biological causes. For example, a disease like depression may be caused primarily by inflammation in one patient, metabolic problems in a second, hormone imbalances in a third, and stressful life events in a fourth - or, perhaps more likely, some combination of all four of these and more. Over the next three years and beyond, we will leverage the diversity of data in the UK Biobank to improve psychiatric disorder subtype identification. This is important because it's hard to figure out which therapies are effective for treating mental health conditions when a therapy that works well for one subtype doesn't work for the other subtypes. Also, psychiatric diseases tend to overlap so much that a drug that treats one subtype of, say, bipolar disorder, may also work for a particular subtype of depression - but maybe not for the other depression subtypes. So being able to figure out what subtype of depression a patient has might help doctors decide whether or not to use the bipolar drug for that patient. Besides the direct potential treatment implications, knowing more about the biological differences between subtypes - and in particular how problems with individual neurons relate to problems with overall brain structure and function, and how both relate to particular sets of psychiatric symptoms - should help further fundamental research into these devastating diseases.
| Lead investigator: | Dr Daniel Felsky |
| Lead institution: | Centre for Addiction and Mental Health |
1 Publication
| Pub ID | Title | Author(s) | Year | Journal |
|---|---|---|---|---|
| 4171 | Association of accelerometer-derived sleep measures with lifetime psychiatric diagnoses: A cross-sectional study of 89,205 participants from the UK Biobank | Wainberg M et al. | 2021 | PLoS Med |
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