A growing number of people are turning to smartphone sleep apps to understand and improve their nights.
Simple, inexpensive and ever present, these tools promise insight, how long it takes to fall asleep, total sleep time, patterns of rest and even a score for “sleep quality.”
New research published in Frontiers in Psychology suggests that, for many users, the picture is not so clear. In some cases, the apps may do more harm than good — especially for those who already struggle with insomnia.
A large survey of adults examined who uses sleep apps, how they respond to app feedback, and whether the apps make sleep better or worse. The study sampled more than a thousand adults and asked about app use, perceived benefits, and any negative effects such as increased worry or poorer sleep. Nearly half of respondents said they had used a sleep-tracking app. Women and people under 50 were more likely to use these tools. Younger users reported stronger reactions to app data — both positive and negative.
Most users described benefits. Many found the apps useful for learning about sleep habits, gaining structure and identifying patterns. A minority, however, reported that apps worsened their sleep or increased anxiety about sleep.
Importantly, people with symptoms of insomnia were significantly more likely to report negative effects. They described heightened worry, intrusive thoughts about sleep, and difficulty disengaging from app feedback.
In short, monitoring sleep can, for some, intensify the very problem they hope to solve.
Why would an app worsen sleep?
Several mechanisms may explain this paradox. First, many sleep apps provide metrics that feel precise but are not necessarily accurate. Tracking is typically based on movement, sound or brief electrocardiogram signals. Algorithms infer sleep states from these signals. These inferences work well enough for population-level estimates, but they are fallible for individuals. A restless sleeper might be scored as awake or vice versa. A brief waking might be magnified into a perceived failure. Small measurement errors can become big worries.
Second, feedback itself can breed anxiety. When users receive nightly reports that quantify sleep, attention turns to numbers. Sleep becomes a performance metric. Users seek to “optimise” their score.
This can foster preoccupation, rumination and catastrophising, a single poor night is interpreted as a trend or a threat. For people already prone to anxiety about sleep — insomnia sufferers, in particular — this focus can be self-sustaining.
The term orthosomnia has been coined to describe excessive worry about achieving idealised sleep metrics. The phenomenon is not merely theoretical. The survey found clear evidence that app feedback triggers worry for a meaningful subset of users.
Third, app use can influence behaviour in ways that undermine natural sleep regulation. Nightly comparison of sleep duration, bedtime consistency and “sleep efficiency” may cause users to change routines abruptly like delaying bedtime to catch up on “sleep debt,” napping during the day, or fragmenting evening routines with late-night checks. These behaviours can disrupt circadian timing and reduce sleep drive, making insomnia worse. Even well-intentioned attempts to improve sleep can backfire when guided by imperfect measurements and rigid targets.
The survey’s findings also reveal demographic differences. Younger adults reported greater perceived benefit from apps but also higher worry and stress induced by feedback. That suggests a double-edged relationship, apps may engage younger users more, but engagement may increase vulnerability to negative cognitive responses.
Men and women reported broadly similar experiences overall. The study authors call for more research to clarify which features of sleep technologies help versus harm, and which user characteristics predict beneficial or harmful outcomes.
“That does not mean sleep apps are useless. For people without significant sleep complaints, apps may increase awareness of habits and support modest improvements”
Accuracy remains a central concern. Many commercially available sleep apps were developed outside clinical settings. Validation studies vary widely. Some apps have undergone independent testing and show reasonable agreement with polysomnography, the laboratory gold standard. Many have not. Consumers may assume that sensor-based apps provide clinical-grade information. That assumption can mislead. False precision can amplify normal night-to-night variation into a perceived problem.
Clinical implications follow. Sleep specialists caution against routine use of sleep apps for people with insomnia. For these patients, focused treatment approaches exist, with cognitive behavioural therapy for insomnia (CBT‑I) as the first-line recommended therapy. CBT‑I targets maladaptive beliefs and behaviours, reduces hyperarousal, and improves sleep without reliance on nightly scores.
In contrast, self-monitoring via apps can entrench monitoring behaviours and perpetuate worry.
That does not mean sleep apps are useless. For people without significant sleep complaints, apps may increase awareness of habits and support modest improvements. Tracking can highlight irregular bedtimes, excessive evening screen time, or late-day caffeine, motivating change.
For otherwise healthy sleepers, the benefits may outweigh the risks. The key is matching tool to user.
How should consumers navigate sleep apps to better utilise it?
- Consider purpose. If you want a rough sense of your sleep schedule or to notice trends, apps can help. If you have chronic insomnia or high anxiety about sleep, avoid self-tracking without professional guidance.
- Beware of over-reliance on nightly scores. Night-to-night variability is normal. Focus on long-term patterns rather than single data points.
- Limit checking. Constant monitoring, particularly at night, increases vigilance. Use apps passively where possible and avoid compulsive checking of metrics.
- Use validated tools where available. Prefer apps with peer-reviewed validation studies or those developed in collaboration with sleep researchers.
- Pair tracking with evidence-based behaviour. Adopt consistent bedtime routines, regular wake times, and daytime habits that support sleep. Use tracking to support these changes, not to micromanage nightly performance.
- Seek professional help if sleep worsens. If tracking increases worry or insomnia symptoms intensify, consult a clinician trained in sleep medicine or CBT‑I.
For clinicians and researchers, the study underscores a need for caution and clarity. Sleep technology is arriving faster than the evidence base. Developers should prioritise validation against clinical standards and consider the psychological impact of feedback. Interfaces should present uncertainty clearly.
Rather than awarding a single “sleep score,” apps might offer ranges, trends, or contextualised advice tailored to the user’s clinical profile. For people with insomnia, apps could incorporate therapeutic modules that address maladaptive beliefs and reduce monitoring behaviours. At present, many apps lack such safeguards.
Regulatory perspectives matter too. Wearables and apps occupy a regulatory grey zone between wellness gadgets and medical devices. When apps claim to diagnose or treat sleep disorders, they enter medical territory and should meet stricter standards. Policymakers and professional societies will increasingly need to define boundaries and recommend best practice.
The public health message is straightforward. Tracking sleep with smartphone apps can be informative and motivating for many. For a subset of users — particularly those with insomnia or high sleep-related anxiety — constant monitoring may increase worry, perpetuate sleeplessness, and produce unhelpful behaviours.
“If you try a sleep app, set clear limits, use it for trend awareness, not nightly judgement. If checks make you anxious, stop. If sleep problems persist, seek professional evaluation rather than attempting to diagnose or cure yourself with an app”
The tool is not neutral. Its effects depend on who uses it, how they use it, and the accuracy and framing of the data it provides.
Research priorities emerge. Longitudinal studies could test whether app use predicts improvement or deterioration of sleep over months. Randomised trials might compare passive tracking, coached use, and app-free care. Qualitative work could deepen understanding of how users interpret metrics.
Finally, development work should design feedback that reduces the risk of orthosomnia: uncertainty cues, focus on sleep hygiene rather than numerical perfection, and integration with clinical advice for those at risk.
Practical steps for readers — maintain regular sleep-wake timing; create a calm, cool, quiet bedroom; limit screens at least 30 minutes before bed; avoid large meals and alcohol close to bedtime; restrict caffeine in the late afternoon and evening; keep regular exercise and good daytime routine.
If you try a sleep app, set clear limits, use it for trend awareness, not nightly judgement. If checks make you anxious, stop. If sleep problems persist, seek professional evaluation rather than attempting to diagnose or cure yourself with an app.
Apps have transformed how people engage with sleep. They can empower behaviour change. They can also magnify anxiety. The emerging evidence calls for a measured approach, use technology thoughtfully, remain sceptical of precision, and prioritise proven clinical methods when sleep becomes a persistent problem.
The night is neither a scoreboard nor a battle to be won with numbers. It is a biological process best supported by consistent habits, psychological calm, and, when necessary, expert care.
The post Could Your Sleep-Tracking App Actually Make Your Sleep Worse? first appeared on PP Health Malaysia.