Mental illness associated with poor sleep quality according to large
study
Date:
October 12, 2021
Source:
Centre for Addiction and Mental Health
Summary:
People who have been diagnosed with a mental illness are more likely
to have poor sleep quality compared to the general population,
according to a large study.
FULL STORY ========================================================================== People who have been diagnosed with a mental illness are more likely to
have poor sleep quality compared to the general population, according
to the largest study of its kind ever conducted.
==========================================================================
The CAMH-led study, "Accelerometer-derived sleep measures and lifetime psychiatric diagnoses," has just been published in the journal PLOS
Medicine.
"The differences in sleep patterns indicated worse sleep quality for participants with a previous diagnosis of mental illness, including
waking up more often and for longer periods of time," said senior author
Dr. Shreejoy Tripathy, an Independent Scientist at CAMH's Krembil Centre
for Neuroinformatics. He also emphasized that gauging the quality of
sleep was just as important as measuring the total amount with regard
to its impact on mental health.
"The relationship between sleep and mental health is bi-directional,"
said lead author Dr. Michael Wainberg, a postdoctoral researcher at the
Krembil Centre for Neuroinformatics. "Poor sleep contributes to poor
mental health and poor mental health contributes to poor sleep. Sleep
pattern differences were a feature of all mental illnesses we studied regardless of diagnosis." The study was based on data collected
from 89,205 participants in the United Kingdom who agreed to wear an accelerometer on their wrist that tracked body movement 24 hours a day
for seven days. They also consented to having their data stored in a
digital biobank for research purposes. The authors used computational algorithms -- including machine learning -- to summarize this vast
amount of data into ten metrics, including bedtime, wake time, naps and
the longest duration of uninterrupted sleep. They then compared these
metrics between participants who had received a previous diagnosis of
mental illness in their lifetime and those who had not.
"We know that up to 80 per cent of people with mental health disorders
can have problems with falling asleep, staying asleep or waking up earlier
than they intended," said CAMH psychiatrist and sleep disorder specialist
Dr. Michael Mak. "We know that sleep disturbances cause a great burden
to society, including an economic one. And we know that treatments that
improve sleep quality, whether it is therapy or some types of medication,
can improve mental health outcomes." This is the first large-scale transdiagnostic study of objectively measured sleep and mental health,
and the study's unique methodology allowed for sleep monitoring to be
conducted in each individual's natural home sleep environment rather
than in a laboratory setting.
"Until now nobody has looked at objectively measured sleep in the context
of mental illness at quite this scale before," said Dr. Tripathy. "Part of
why we wanted to do this study is that with the emergence of smartphones
and wearables, we have access to data streams that we never had before."
The Krembil Centre for Neuroinformatics is currently developing a
patient data biobank similar to the one in the UK that was used for this
study. The core goal of the CAMH BrainHealth Databank is to use patient
data, including the use of wearables outside of a hospital setting, to
deliver improved, personalized mental health care in the present, while
also accelerating future clinical research, discovery and innovation.
========================================================================== Story Source: Materials provided by
Centre_for_Addiction_and_Mental_Health. Note: Content may be edited for
style and length.
========================================================================== Journal Reference:
1. Michael Wainberg, Samuel E. Jones, Lindsay Melhuish Beaupre, Sean L.
Hill, Daniel Felsky, Manuel A. Rivas, Andrew S. P. Lim,
Hanna M. Ollila, Shreejoy J. Tripathy. Association of
accelerometer-derived sleep measures with lifetime psychiatric
diagnoses: A cross-sectional study of 89,205 participants from
the UK Biobank. , PLOS Medicine DOI: 10.1371/ journal.pmed.1003782 ==========================================================================
Link to news story:
https://www.sciencedaily.com/releases/2021/10/211012150036.htm
--- up 5 weeks, 5 days, 8 hours, 25 minutes
* Origin: -=> Castle Rock BBS <=- Now Husky HPT Powered! (1:317/3)