Dawn of Discontent: Unpacking Morning Mood Dips

Summary: Medical interns experience their lowest moods near 5 a.m., with an uplift by 5 p.m., based on the analysis of Fitbit data from over 2,500 participants. The research underscores the natural mood cycle’s nadir in the early hours, independent of sleep deprivation, which exacerbates mood downturns and amplifies daily emotional fluctuations.

Through continuous monitoring of heart rate, steps, sleep, and mood over two years, the study provides empirical evidence of how circadian rhythms and sleep deprivation interplay to affect mood, offering insights into managing wellbeing in high-stress professions.

Key Facts:

  1. Mood cycles naturally, with the lowest point around 5 a.m. and peaking by 5 p.m., indicating a circadian rhythm influence on emotional well-being.
  2. Sleep deprivation compounds the intensity of mood swings, further lowering mood levels and enhancing mood variability throughout the day.
  3. The study utilized continuous data collection over two years, including heart rate, steps, sleep, and daily mood scores from over 2,500 medical interns, making it a significant inquiry into the impacts of work stress and sleep patterns on mood.

Source: University of Michigan

It’s always darkest before the dawn for many people, and now, a University of Michigan and Dartmouth Health study has looked into the science of waking up on the wrong side of the bed.

The study, which uses the Fitbit data of more than 2,500 training physicians (interns) across two years, found that the interns’ self-reported mood cycles hit their lowest point nearing 5 a.m. and highest point around 5 p.m. Lack of sleep made these mood swings more intense, leading to worse moods and bigger changes in mood throughout the day.

“Mood naturally cycles with lowest point in the morning and highest in the evening independent of sleep deprivation. Sleep deprivation is a separate process that further decreases mood,” said Benjamin Shapiro, lead author of the study and psychiatrist at Dartmouth Health.

This shows a woman looking at the morning light.
But the researchers did show that noninvasive tools such as Fitbits or other smart watches could be useful in tracking mood disorders and circadian rhythms. Credit: Neuroscience News

“So someone awake all night at 5 a.m. should have an even lower mood than if they just woke up at 5 a.m. However, on a typical day their mood at 5 a.m. will still be lower than that in the evening.”

The study, published in the journal PLOS Digital Health, analyzed data from 2,602 medical interns over a two-year period. The researchers measured the interns’ continuous heart rate, step count, sleep data and daily mood scores. The researchers also estimated circadian time and time awake from minute-by-minute wearable heart rate and motion measurements.

“We discovered that mood follows a rhythm connected to the body’s internal clock, and the clock’s influence increases as someone stays awake longer,” said Danny Forger, senior author of the study and a professor of mathematics and of computational medicine and bioinformatics at the U-M Medical School.

“The study highlights the significant role our body’s clock plays in mood and introduces wearable technology as an exciting new way to explore these factors in mental health issues.”

The medical interns, part of the Intern Health Study, a multicenter study across the United States involving first-year physicians, also completed a once daily assessment. The interns could complete the assessment at any point in the day, and the assessment consisted of a single question: How was your mood today?

The researchers then plotted the participants’ mood scores against their circadian phase and against their time awake. They found that mood peaked at 5 p.m. and dipped to its lowest at 5 a.m. They also found that mood deteriorated the longer the participants were awake.

“The field of psychiatry has known that sleep and circadian rhythm play an important role in mental health. However, these findings have only been shown in small samples and in artificial laboratory settings,” Shapiro said. “This study generalizes these findings to everyday life across a large number of participants.”

The researchers say their study only looked at a generalized model of mood in medical interns, and that individual variation of mood is more complex and dependent on factors such as social dynamics, schedules and temperaments.

Also there were minimal individuals who stayed awake more than 18 hours during a day. Finally, the researchers did not use validated emotional rating scales such as the Depression Anxiety Stress Scale or clinical screening tools.

But the researchers did show that noninvasive tools such as Fitbits or other smart watches could be useful in tracking mood disorders and circadian rhythms.

“Rather than requiring invasive blood draws or temperature monitoring, we are able to obtain similar data from an everyday Fitbit,” Shapiro said. “This opens the door for mental health clinicians to utilize circadian rhythm metrics in everyday clinical practice.”

About this mood and sleep research news

Author: Morgan Sherburne
Source: University of Michigan
Contact: Morgan Sherburne – University of Michigan
Image: The image is credited to Neuroscience News

Original Research: Open access.
Unraveling the interplay of circadian rhythm and sleep deprivation on mood: A Real-World Study on first-year physicians” by Benjamin Shapiro et al. PLOS Digital Health


Unraveling the interplay of circadian rhythm and sleep deprivation on mood: A Real-World Study on first-year physicians

The interplay between circadian rhythms, time awake, and mood remains poorly understood in the real-world. Individuals in high-stress occupations with irregular schedules or nighttime shifts are particularly vulnerable to depression and other mood disorders.

Advances in wearable technology have provided the opportunity to study these interactions outside of a controlled laboratory environment. Here, we examine the effects of circadian rhythms and time awake on mood in first-year physicians using wearables.

Continuous heart rate, step count, sleep data, and daily mood scores were collected from 2,602 medical interns across 168,311 days of Fitbit data. Circadian time and time awake were extracted from minute-by-minute wearable heart rate and motion measurements.

Linear mixed modeling determined the relationship between mood, circadian rhythm, and time awake. In this cohort, mood was modulated by circadian timekeeping (p<0.001).

Furthermore, we show that increasing time awake both deteriorates mood (p<0.001) and amplifies mood’s circadian rhythm nonlinearly. These findings demonstrate the contributions of both circadian rhythms and sleep deprivation to underlying mood and show how these factors can be studied in real-world settings using Fitbits.

They underscore the promising opportunity to harness wearables in deploying chronotherapies for psychiatric illness.

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