Blog · · 5 min read
Sleep, movement and mood in students
What research says about sleep, physical activity and mood in students, the limits of wearable data, and why sharing it should be optional.

Ask a student who is struggling how they are sleeping, and the answer often tells you a lot. Ask how much they have been moving, and you may hear the same story from another angle. Sleep and physical activity are two of the most ordinary parts of life, and two of the most closely tied to mood.
They are also now measured automatically by the phones and watches many students already carry. That raises a practical question for counselling services: how much should this data matter, and who should decide whether it is shared?
Sleep and mood: more than a symptom
Poor sleep has long been treated as a symptom of depression. The research suggests it is also part of the cause.
A 2011 meta-analysis by Baglioni and colleagues of 21 longitudinal studies found that people with insomnia who were not depressed at the start had about twice the odds of developing depression later (odds ratio 2.60 in the main random-effects model).
Stronger evidence comes from trials that improve sleep and then look at mental health. A 2021 meta-analysis by Scott and colleagues of 65 randomised trials (8,608 participants) found that improving sleep led to a medium-sized improvement in overall mental health, including depression and anxiety. Greater improvements in sleep led to greater improvements in mental health, which is the kind of dose-response pattern that supports a causal link.
The largest single trial was in students. The OASIS trial, published in The Lancet Psychiatry in 2017, randomised 3,755 students with insomnia at 26 UK universities to a digital cognitive behavioural therapy for insomnia or usual care. Insomnia improved substantially, and at ten weeks there were also improvements in depression (measured on the PHQ-9) and anxiety (GAD-7). One caveat: about half of participants did not complete the ten-week follow-up, which is common in large online trials but worth keeping in mind.
Students, exams and sleep
Student life is hard on sleep. A 2014 review by Hershner and Chervin, drawing on US research, reported that about 50% of college students describe daytime sleepiness and 70% get insufficient sleep, with knock-on effects on learning and mood.
Exam periods make it worse. In a 2012 study by Ahrberg and colleagues of 144 medical students preparing for a major exam, 59% had clinically relevant sleep disturbance during exam preparation, compared with 29% during the semester and 8% after the exam. Students who were more stressed and slept worse before the exam tended to do worse in it.
For counselling services, that pattern is familiar: demand and distress rise in the same weeks that sleep falls apart.
Movement and mood
The evidence for physical activity is broad. A 2023 umbrella review in the British Journal of Sports Medicine by Singh and colleagues brought together 97 systematic reviews covering 1,039 trials and 128,119 adults. Physical activity had medium-sized effects on symptoms of depression (median effect size −0.43), anxiety (−0.42) and psychological distress (−0.60) compared with usual care. Higher-intensity activity was associated with greater improvement.
Two cautions. Most of the included reviews (77 of 97) were rated as critically low quality on a standard appraisal tool. And the review covered adults generally, not students specifically. Still, the direction of the evidence is consistent. The World Health Organization notes that regular activity "reduces symptoms of depression and anxiety".
What wearable data can and can't tell you
Phones and watches make it easy to collect step counts and sleep estimates. It is worth being clear about their limits.
A 2021 study by Chinoy and colleagues in the journal Sleep compared seven consumer sleep trackers against laboratory polysomnography in 34 healthy young adults. The devices were good at detecting sleep (sensitivity 0.93 or higher) but much weaker at detecting wakefulness (specificity 0.18 to 0.54), performed worse on nights with disrupted sleep, and were inconsistent at estimating sleep stages. In plain terms, trackers can count time lying awake as sleep, and are least reliable on the nights when someone is sleeping badly.
For activity, a 2020 systematic review by Fuller and colleagues of 158 studies found that several major brands measured steps accurately in laboratory settings, heart rate was more variable, and no brand measured energy expenditure accurately.
There is also a human cost to over-reading the numbers. Sleep clinicians have described orthosomnia, a perfectionistic pursuit of ideal sleep driven by tracker data, where the tracking itself becomes a source of worry.
So wearable data is best treated as a rough trend, not a measurement of truth. A run of short nights before exams is worth a conversation. A single "poor sleep score" is not.
Why sharing should be optional
Sleep and activity data reveal a lot about someone's daily life: when they go to bed, when they get up, when they stop leaving the house. Some students will find it helpful to share that with a counsellor. Others will not, and they should not have to.
Making sharing optional respects that. Given the limits above, the data is a prompt for conversation at best, and a counsellor can always ask the simplest question of all: "How have you been sleeping?"
In practice
For counselling services:
- Ask about sleep and movement routinely. Both are closely linked to mood.
- Expect sleep to deteriorate around exams, and plan for it.
- Treat wearable data as a trend to discuss, never as a verdict, and watch for students becoming anxious about their numbers.
- Keep any sharing of health data opt-in, clearly explained, and easy to switch off.
In Myndgard Share, for example, students can record mood, movement and mindfulness, and syncing with Apple Health on iPhone is optional. With consent, their counsellor sees the trends between sessions. What those trends mean is still a matter for the student and the counsellor to work out together.
Sources
- Insomnia as a predictor of depression: a meta-analytic evaluation of longitudinal epidemiological studies — Journal of Affective Disorders (Baglioni et al.), 2011
- Improving sleep quality leads to better mental health: a meta-analysis of randomised controlled trials — Sleep Medicine Reviews (Scott et al.), 2021
- The effects of improving sleep on mental health (OASIS): a randomised controlled trial with mediation analysis — The Lancet Psychiatry (Freeman et al.), 2017
- Causes and consequences of sleepiness among college students — Nature and Science of Sleep (Hershner & Chervin), 2014
- The interaction between sleep quality and academic performance — Journal of Psychiatric Research (Ahrberg et al.), 2012
- Effectiveness of physical activity interventions for improving depression, anxiety and distress: an overview of systematic reviews — British Journal of Sports Medicine (Singh et al.), 2023
- Physical activity fact sheet — World Health Organization, 2024
- Performance of seven consumer sleep-tracking devices compared with polysomnography — Sleep (Chinoy et al.), 2021
- Reliability and validity of commercially available wearable devices for measuring steps, energy expenditure, and heart rate: systematic review — JMIR mHealth and uHealth (Fuller et al.), 2020
- Orthosomnia: are some patients taking the quantified self too far? — Journal of Clinical Sleep Medicine (Baron et al.), 2017
