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February 22, 2021--In a new study, scientists from the University of Michigan Academic Medical Center analyzed the sleep and mood data of more than 2,100 early-career doctors in one year and showed that , Irregular sleep, like lack of overall sleep time or frequent staying up late, will increase the risk of long-term depression.
Related research results were published in the recent npj Digital Medicine journal.
Related research results were published in the recent npj Digital Medicine journal.
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Studies have shown that even if only considering the mood of the next day, those who wake up at different times each day may find themselves in a bad mood, just like those who slept late the night before or got up early that morning same.
In the first year of residency training after graduating from the medical school, the interns have experienced long hours of intense work and irregular work arrangements, which are the characteristics of medical training during this period.
Those factors that change from day to day change their ability to sleep regularly.
Those factors that change from day to day change their ability to sleep regularly.
The new study uses commercial devices worn by interns on their wrists to track their sleep and other activities, and asks them to report their daily mood on a smartphone app, as well as quarterly depressive symptom tests to collect data.
The results showed that those who were wearing devices that showed irregular sleep time were more likely to score higher on the standardized depressive symptom questionnaire and lower daily mood ratings.
Those who often stay up late or sleep the least have more severe depression symptoms and lower daily mood.
The results of the study further confirmed the relationship between sleep, daily mood and long-term depression risk.
Those who often stay up late or sleep the least have more severe depression symptoms and lower daily mood.
The results of the study further confirmed the relationship between sleep, daily mood and long-term depression risk.
"Advanced wearable technology allows us to study the behavioral and physiological factors of mental health, including sleep, on a larger scale and higher accuracy than before.
This opens up an exciting field for us to explore," Said Yu Fang, the lead author of the paper and a research expert at the University of Michigan Institute of Neuroscience.
"Our research results are not only intended to guide the self-management of sleep habits, but also to guide the organization's work schedule structure.
"
This opens up an exciting field for us to explore," Said Yu Fang, the lead author of the paper and a research expert at the University of Michigan Institute of Neuroscience.
"Our research results are not only intended to guide the self-management of sleep habits, but also to guide the organization's work schedule structure.
"
Fang is a member of the intern health research team, which is led by Dr.
Srijan Sen, who has conducted more than ten years of research on the mood and depression risk of residents in the first year.
This study collected data for an average of two weeks before the start of the doctor's internship year, and collected nearly four months of monitoring data during the internship year.
Srijan Sen, who has conducted more than ten years of research on the mood and depression risk of residents in the first year.
This study collected data for an average of two weeks before the start of the doctor's internship year, and collected nearly four months of monitoring data during the internship year.
In this new paper, the research team collaborated with Dr.
Cathy Goldstein, an associate professor of neurology and physician at the Michigan Medical Sleep Disorder Center.
She said that millions of people are now using wearable devices to assess sleep, including Fitbit devices, other activity trackers and smart watches used in the research.
Cathy Goldstein, an associate professor of neurology and physician at the Michigan Medical Sleep Disorder Center.
She said that millions of people are now using wearable devices to assess sleep, including Fitbit devices, other activity trackers and smart watches used in the research.
Goldstein said: "For the first time, these devices allow us to record long periods of sleep without the user's effort.
We still have questions about the accuracy of consumer trackers in predicting sleep, although preliminary work has shown that its performance is consistent with FDA approval.
The clinical and research-grade wrist monitors are similar.
"
We still have questions about the accuracy of consumer trackers in predicting sleep, although preliminary work has shown that its performance is consistent with FDA approval.
The clinical and research-grade wrist monitors are similar.
"
Professor Sen of Neurology and Psychiatry pointed out: "These findings emphasize that the regularity of sleep is an underestimated factor in the treatment of depression and health.
This work also emphasizes the importance of wearable devices in helping to understand important concepts related to health.
Potential, and these concepts have not been able to be studied on a large scale before.
"
This work also emphasizes the importance of wearable devices in helping to understand important concepts related to health.
Potential, and these concepts have not been able to be studied on a large scale before.
"
The research team noted that the relatively young population in the study—that is, with an average age of 27 and a university medical degree—does not represent the broader population.
However, because they all experience similar workloads and schedules, they are the ideal group for testing hypotheses.
The researchers hope that other research groups can use similar equipment and methods to study other populations to see if the results of the study on sleep time changes apply to them.
However, because they all experience similar workloads and schedules, they are the ideal group for testing hypotheses.
The researchers hope that other research groups can use similar equipment and methods to study other populations to see if the results of the study on sleep time changes apply to them.
Professor Fang pointed out that, for example, the parents of young children may be another important group that needs to be studied.
She joked: "I also hope that my 1-year-old child can understand these findings, and only wake me up at 8:21 every morning.
" ()
She joked: "I also hope that my 1-year-old child can understand these findings, and only wake me up at 8:21 every morning.
" ()
Original source: Fang, Y.
, Forger, DB, Frank, E.
et al.
Day-to-day variability in sleep parameters and depression risk: a prospective cohort study of training physicians.
npj Digit.
Med.
4, 28 (2021 ).
https://doi.
org/10.
1038/s41746-021-00400-z DOI: 10.
1038/s41746-021-00400-z
Day-to-day variability in sleep parameters and depression risk: a prospective cohort study of training physicians. , Forger, DB, Frank, E.
et al.
Day-to-day variability in sleep parameters and depression risk: a prospective cohort study of training physicians.
npj Digit.
Med.
4, 28 (2021 ).
https://doi.
org/10.
1038/s41746-021-00400-z DOI: 10.
1038/s41746-021-00400-z
