According to a new study, taking place on weekends when you usually wake up early all week can affect your mood and increase your risk of depression.
Experts at Michigan Medicine, the University of Michigan’s academic medical center, used sleep and mood data from 2,100 early-career physicians taken over a year.
An irregular sleep schedule can increase the risk of depression as much as sleeping less in general or staying awake on a regular basis, they found.
Sleeping on a Sunday can even affect your mood on Monday morning, they discovered, and can make you as grumpy as you would be if you stayed up until Sunday night.
Researchers have not studied the effect of mixed sleep programs on the wider population, but I think it could be applied to anyone with irregular sleep patterns.

According to a new study, going to bed on the weekends, when you are used to waking up early all week, can affect your mood and increase your risk of depression.
The medical interns in this study were in their first year of preparation for residency after medical school and were facing long, intense workdays and irregular schedules – changing from day to day, without a real structure.
These changes altered their ability to have regular sleep schedules and made them perfect subjects for a study of irregular sleep patterns and mood.
The data was collected by tracking their sleep and other activities through wrist devices and getting them to record their mood on a smartphone app.
They also took quarterly tests for depression throughout the one-year study.
The new paper, published in the journal npj Digital Medicine, explores the impact that this unusual mixture of broken and irregular sleep has on the mind.
Those whose devices showed that they had variable sleep schedules were more likely to score higher on standardized depression questionnaires and have lower daily mood ratings, the study authors found.
Those who stood up late or slept the fewest hours also scored higher on symptoms of depression and less on a daily basis.
The findings add to what is already known about the association between sleep, daily mood and the risk of long-term depression.
“Advanced wearable technology allows us to study the behavioral and physiological factors of mental health, including sleep, on a much larger and more accurate scale than before,” says Yu Fang, lead author of the new paper.
“Our findings aim not only to guide self-management on sleep habits, but also to inform institutional programming structures,” the research specialist added.
Fang is part of the Intern Health Study team, led by Srijan Sen, MD, Ph.D., who has been studying the mood and risk of depression of first-year medical residents for more than a decade.
The study collected an average of two weeks of data before the start of the years of hospitalization of doctors and an average of four months of monitoring throughout the year.
Cathy Goldstein, MD, MS, associate professor of neurology and physician at the Center for Sleep Disorders at Michigan Medicine, said that wearable devices that estimate sleep are now used by millions of people around the world.

Experts at Michigan Medicine, the University of Michigan Academic Medical Center, used sleep and mood data from 2,100 early career physicians taken over a year
This includes the Fitbit devices used in the study, other activity trackers and smart watches, such as the Apple Watch.
“These devices, for the first time, allow us to record sleep for extended periods of time, without effort on behalf of the user,” says Goldstein.
“We still have questions about the accuracy of sleep predictions made by consumer trackers, although initial work suggests similar performance to FDA-approved clinical actigraphy and research devices.
Sen said the new findings are based on what his team’s work on the high risk of depression among new doctors has already demonstrated.
“These findings highlight the consistency of sleep as an underestimated factor to target in depression and well-being,” he says.
“The paper also highlights the potential of wearable devices in understanding important health-relevant constructs that we have not been able to study at scale before.”
The team notes that the relatively young group of people in the study – with an average age of 27 and holding both college and medical degrees – are not representative of the wider population.
However, because they all experience similar tasks and programs, they are a good group to test hypotheses and get a “broad” view of the wider population.
The researchers hope that other groups will study other populations using similar devices and approaches to see if the results about the variation of the sleep program keep them and thus can be applied to the wider population.
Fang, for example, notes that the parents of young children could be another important group to study.
“I would also like my 1-year-old to be able to find out about these findings and only wake me up at 8:21 every day,” she jokes.
The findings were published in the journal npj Digital Medicine.