According to a new study, resting on the weekend when you are used to waking up early all week can affect your mood and increase your risk of depression.
Experts from Michigan Medicine, the academic medical center at the University of Michigan, used sleep and mood data from 2,1000 early-career doctors performed in one year.
They found that an irregular sleep routine can increase the risk of depression as much as sleeping less hours overall or staying up late regularly.
Sleeping on a Sunday may even affect your mood on Monday mornings, they found, and make you as moody as you would have been if you had stayed up late on Sunday night.
The researchers have not studied the effect of mixed sleep schedules on the general population, but believe it can apply to anyone with irregular sleep patterns.

According to a new study, resting on the weekend, when you’re used to waking up early during the week, can affect your mood and increase your risk of depression.
The inpatients in this study were in their first year of residency after medical school and lived long, intense workdays and irregular hours – changing from day to day without a real structure.
These changes altered their ability to have regular sleep schedules and made them the perfect test subjects for a study of irregular sleep patterns and mood.
The data was collected by monitoring their sleep and other activities through wrist devices and making them record their mood on a smartphone application.
They also did quarterly tests for depression over the course of the year-long study.
The new article, published in the journal npj Digital Medicine, explores the impact that this unusual mix of interrupted and irregular sleep has on the mind.
Those whose devices were found to have varying sleep times were more likely to score higher on standardized depression symptom questionnaires and to have lower daily mood assessments, the study authors found.
Those who regularly stayed up late, or slept less hours, also scored more on symptoms of depression and less on daily mood.
The findings add to what is already known about the association between sleep, daily mood and long-term risk of depression.
“Advanced wearable technology allows us to study the behavioral and physiological factors of mental health, including sleep, on a much larger scale and with more precision than before,” says Yu Fang, lead author of the new article.
“Our findings are aimed not only at guiding self-management of sleep habits, but also at informing institutional programming structures,” added the research expert.
Fang has been a member of the Intern Health Study team, led by Srijan Sen, MD, Ph.D., who has been studying the mood and risk of depression in first-year medical residents for more than a decade.
The study collected an average of two weeks of data prior to the beginning of the doctors’ hospitalization years and an average of four months of monitoring during the year.
Cathy Goldstein, MD, MS, associate professor of neurology and medical at the Sleep Disorders Center at Michigan Medicine, said that wearable devices that estimate sleep are being used by millions of people around the world.

Experts from Michigan Medicine, the academic medical center at the University of Michigan used sleep and mood data from 2,000 early-stage doctors performed in one year
This includes the Fitbit devices used in the study, other activity trackers and smart watches like the Apple Watch.
“These devices, for the first time, allow us to record sleep for long periods of time without effort on the part of the user,” says Goldstein.
“We still have doubts about the accuracy of the sleep predictions that consumer trackers make, although the initial work suggests a performance similar to the clinical grade and research actigraphy devices that are released by the FDA.”
Sen said the new findings are based on what his team’s work has already shown about the high risk of depression among new doctors.
“These findings highlight the consistency of sleep as an underestimated factor to be achieved in depression and well-being,” he says.
“The work also highlights the potential of wearable devices in understanding important constructs relevant to health that we previously could not study at scale.”
The team notes that the relatively young group of people in the study – with an average age of 27 and graduated in medicine and college – is not representative of the general population.
However, as they all experience similar workloads and schedules, they are a good group to test hypotheses and get a “broad” view of the general population.
The researchers hope that other groups will study other populations using similar devices and approaches, to see whether the findings about the variation in sleep time remain and whether they can be applied to the population more broadly.
Fang, for example, notes that parents of young children can be another important group to study.
“I would also like my 1 year old son to be able to learn about these discoveries and only wake me up at 8:21 am every day,” she jokes.
The results were published in the journal npj Digital Medicine.