According to a new study, having a weekend on the weekend when you are used to getting up early all week can affect your mood and increase your risk of depression.
Experts from Michigan Medicine, the University of Michigan’s academic medical center, used sleep and mood data from 2,1000 first-degree physicians who were more than a year old.
An irregular sleep schedule can increase the risk of depression as much as sleeping fewer hours in general or staying awake until regularly, they found.
Sleeping on a Sunday can even affect your Monday morning mood, they found, and can make you as grumpy as you would be if you woke up late on a Sunday night.
Researchers have not studied the effect of mixed sleep schedules on the wider population, but believe it could be applied to anyone with irregular sleep patterns.

According to one study, having a weekend on the weekend when you are used to getting 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 residency training after medical school and experienced intense, long work days and irregular schedules, which change 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.
Data was collected by tracking sleep and other activities through wrist devices and having them record their mood in a smartphone app.
They also did quarterly depression tests throughout the one-year study.
The new article, published in the journal npj Digital Medicine, explores the impact on the mind of this unusual mixture of broken and irregular sleep.
The study authors found that devices that showed variable sleep programs were more likely to score higher on standardized depressive symptom questionnaires and to have lower daily mood scores.
Those who stayed up late or slept fewer hours also scored higher on symptoms of depression and less on a daily mood.
The findings add to what is already known about the association between sleep, daily mood and long-term risk of depression.
“Advanced portable technology allows us to study the behavioral and physiological factors of mental health, including sleep, on a much larger scale and more accurately than before,” says Yu Fang, lead author of the new article.
“Our findings not only aim to guide self-management on sleep habits, but also to inform institutional programming structures,” the research specialist added.
Fang is part of the Internal 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 years. more than a decade.
The study collected an average of two weeks of data before beginning doctors ’internship years and an average of four months of follow-up throughout the year.
Cathy Goldstein, MD, MS, associate professor of neurology and physician at the Michigan Medicine Center for Sleep Disorders, said millions of people around the world use portable devices that they love to sleep on.

Experts from Michigan Medicine, the University of Michigan Academic Medical Center, used sleep and mood data from 2,1000 first-degree physicians who were more than a year old.
This includes the Fitbit devices used in the studio, other activity trackers and smart watches like the Apple Watch.
“These devices, for the first time, allow us to record sleep for extended periods of time effortlessly on behalf of the user,” Goldstein says.
“We still have questions about the accuracy of sleep predictions made by consumer trackers, although initial work suggests performance similar to FDA-authorized clinical and research-grade acigraphy devices.”
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 sleep consistency as an underappreciated factor in addressing depression and well-being,” he says.
“The work also highlights the potential of portable devices to understand important health-relevant constructions 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 university and medical degrees – are not representative of the wider population.
However, because 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 if the conclusions about the variation in the sleep schedule support them, and therefore can be applied to the population more broadly.
Fang, for example, points out that parents of young children could be another important group to study.
“I would also like my one-year-old son to be able to know about these findings and wake me up at 8:21 a.m. every day,” he jokes.
The findings have been published in the journal npj Digital Medicine.