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Social Science 2026-03-20

Sleep apps help most users learn about their rest - but they backfire for people with insomnia

A Norwegian survey of 1,002 adults finds that sleep tracking apps provide benefits for many, yet amplify stress and worry in those already struggling to sleep.

Can an app that tells you how badly you slept actually make you sleep worse? For people who already have insomnia, the answer appears to be yes.

A survey of 1,002 adults in Norway, published in Frontiers in Psychology, found that sleep tracking apps produced a split outcome: most users reported positive effects, particularly learning more about their sleep patterns, but a significant minority experienced increased worry and stress - and this negative response was concentrated among people who already showed symptoms of insomnia.

The finding raises a practical concern about a rapidly growing consumer technology. Sleep apps have exploded in popularity, driven by wearable devices and a broader cultural fixation on optimizing rest. But the feedback loop they create - measure, report, react - may not work the same way for everyone.

Who tracks, and what they report

Of the 1,002 adults surveyed, 46% said they currently used or had used a sleep tracking app. Women and people under 50 were more likely to be users. The apps varied, but most claimed to measure sleep onset latency (how long it takes to fall asleep), total sleep duration, and sleep quality or restfulness.

Positive effects dominated the overall picture. The most commonly reported benefit was simply learning more about one's sleep, cited by 48% of app users. Fifteen percent said the apps actually improved their sleep. Only 2.3% reported that their sleep got worse.

But when the researchers looked at negative effects specifically, the pattern shifted. Seventeen percent of users said the apps caused them to worry more about their sleep. And that worry was not evenly distributed across the sample.

The insomnia paradox

People who reported symptoms of insomnia - difficulty falling asleep, staying asleep, or waking unrefreshed - were significantly more likely to experience negative effects from their sleep apps. The feedback that helped healthy sleepers gain useful insight appeared to amplify anxiety in those who were already struggling.

"Persons displaying insomnia symptoms may be more vulnerable to negative feedback, which can potentially worsen sleep-related anxiety or stress," said Hakon Lundekvam Berge of the University of Bergen, the study's first author. "Awareness of these tendencies is essential before using such apps."

The mechanism is not hard to imagine. A person who sleeps well sees data confirming what they already feel - they got seven hours, their sleep was restful, and the information is interesting. A person who lies awake for an hour each night sees that hour quantified, scored, and presented as a deficit. The data do not just reflect their experience; they formalize it. The app becomes a nightly report card, and for someone already anxious about sleep, a bad grade creates more anxiety, which makes sleep harder, which produces another bad grade.

This self-reinforcing cycle has a clinical name. Some researchers call it orthosomnia - a condition where the preoccupation with achieving perfect sleep, often driven by tracking data, itself becomes a source of sleep disruption. The Norwegian study does not diagnose orthosomnia directly, but its findings are consistent with the concept.

Age matters, gender does not

The study found an age gradient in how people responded to sleep apps. Younger adults - those under 50 - reported both stronger positive effects and stronger negative effects than older users. They were more likely to say the apps improved their sleep, but also more likely to report increased worry and stress. The apps, in effect, produced a more amplified response in younger users in both directions.

Gender, by contrast, made no difference. Men and women responded to the apps in statistically similar ways, despite women being more likely to use them in the first place.

What the numbers do not capture

The study's limitations are worth spelling out. All data were self-reported, which introduces recall bias and social desirability effects. Participants were drawn from a pool of volunteers who had signed up for scientific research - a group likely more health-conscious and more interested in sleep than the general population. Their responses may not represent how the broader public reacts to sleep apps.

The survey also did not distinguish between different types of sleep apps or wearable devices. A clinical-grade sleep tracker worn on the wrist may produce different psychological effects than a smartphone app that infers sleep from movement and ambient sound. The accuracy of the feedback likely shapes the response, and that variable was not controlled.

Perhaps most importantly, the study is cross-sectional. It captures a snapshot, not a trajectory. People who reported negative effects from sleep apps may have already had higher baseline anxiety about sleep before they started tracking. The study cannot establish whether the apps caused the increased worry or simply revealed a pre-existing vulnerability.

Practical guidance from the researchers

Despite these limitations, the researchers offered direct advice. For users who find that sleep tracking increases their stress, they suggest learning about how the app's measurements work and how accurate they actually are - most consumer-grade sleep apps have significant limitations in measuring sleep stages, and understanding that may reduce the emotional weight of the data.

If understanding the measurement limitations does not help, they recommend removing the tracking device at night or turning off notifications. The goal is to break the feedback loop before it becomes counterproductive.

"We encourage sleep app users to use the feedback as motivation to create helpful sleeping habits," said Karl Erik Lundekvam, the study's second author. "For instance, minimize screen time before bedtime."

Lundekvam Berge added a more fundamental piece of advice: "Listen to your body and go to bed when you actually feel tired. The bed and the bedroom should be associated with sleep, and going to bed before your body is ready to sleep will cause you to lie awake in bed, and this may exacerbate your sleep problems further."

That recommendation aligns with established cognitive behavioral therapy for insomnia, which emphasizes stimulus control - using the bed only for sleep, going to bed only when sleepy, and getting up if sleep does not come within a reasonable time. It is, notably, the opposite of what many sleep apps encourage: meticulous tracking, rigid schedules, and constant attention to sleep data.

The broader question of consumer health data

The sleep app finding fits into a larger pattern emerging across consumer health technology. Heart rate monitors that increase health anxiety in people prone to panic attacks. Calorie tracking apps that reinforce disordered eating in people with anorexia. Blood glucose monitors marketed to non-diabetics that create unnecessary worry about normal metabolic variation. In each case, the same technology that helps some users make informed health decisions creates harm in a vulnerable subset.

The common thread is that continuous self-monitoring amplifies whatever relationship a person already has with the measured variable. Healthy sleepers who are mildly curious about their patterns get mildly useful data. People who are already anxious about their sleep get a nightly quantification of their anxiety's target. The technology does not create the underlying vulnerability, but it does feed it.

This does not mean sleep apps should be removed from the market or universally discouraged. The majority of users in this study reported neutral or positive experiences. But it does suggest that clinicians should screen for insomnia symptoms before recommending sleep tracking, and that app developers should consider building in safeguards - warnings when data patterns suggest increasing anxiety, or automatic pauses in reporting when negative trends persist. For some users, the best sleep advice may simply be to stop measuring.

Source: Published in Frontiers in Psychology. First author: Hakon Lundekvam Berge, University of Bergen. Second author: Karl Erik Lundekvam, University of Bergen. Survey of 1,002 adults in Norway.