User:Боки/sandbox

Sleep apps vary in functionality, but most include some or all of the following features:

• Sleep tracking – Monitoring of sleep duration, sleep cycles (light, deep, REM), and movement using accelerometers or microphones, or via connection with wearable devices.
• Smart alarms – Alarms that aim to wake the user during a light sleep phase to reduce morning grogginess.
• Relaxation aids – Soothing music, guided meditation, white noise, or breathing exercises to help users fall asleep.
• Sleep diaries – Manual or automatic logs of sleep patterns and behaviors for self-monitoring and behavioral adjustments.
• Sleep coaching and education – Advice on improving sleep quality based on tracked data and principles of sleep hygiene.
• Integration with wearables – Compatibility with smartwatches and fitness trackers for more detailed physiological data.

The effectiveness of sleep apps has been the subject of academic scrutiny. A meta-analysis published in 2024 found that app-based interventions produced moderate improvements in sleep disturbances and insomnia symptoms compared to control groups.{{Cite journal |last=Choi |first=Young |last2=Lee |first2=Min Ji |title=Effectiveness of Smartphone Applications for Sleep: A Meta-Analysis |journal=Sleep Medicine Reviews |date=2024 |doi=10.1016/j.smrv.2024.101876 |pmid=39213858}}

Another study of commercially available apps found that many lack empirical validation and often do not incorporate evidence-based behavior change techniques.{{Cite journal |last=Ko |first=Na-Eun |last2=Lim |first2=Hyeyoung |title=Evaluation of Sleep Mobile Health Applications Using the Behavior Change Technique Taxonomy |journal=Journal of Medical Internet Research |date=2023 |doi=10.2196/45329 |pmid=36628485}}

Despite their popularity, sleep apps have limitations:

• Lack of clinical validation – Many apps are not validated through scientific research and may provide inaccurate data.{{Cite journal |last=Becker |first=Spencer P. |title=Sleep Tracking Technology: A Review of Consumer Sleep Apps |journal=Current Sleep Medicine Reports |date=2021 |doi=10.1007/s40675-021-00213-1 |pmid=34104344}}
• Data privacy – Studies have shown that some sleep apps share personal data with third parties, sometimes without user consent.{{Cite journal |last=Papageorgiou |first=Apostolos |title=Privacy Risks of mHealth Apps: A Systematic Analysis |journal=JMIR mHealth and uHealth |date=2021 |doi=10.2196/27841 |pmc=PMC8157780}}
• Over-reliance and anxiety – Over-dependence on sleep data may contribute to "orthosomnia", where concern over sleep metrics causes additional sleep disturbance.{{Cite journal |last=Baron |first=Kelly G. |title=Orthosomnia: Are Some Patients Taking the Quantified Self Too Far? |journal=Journal of Clinical Sleep Medicine |date=2017 |volume=13 |issue=2 |pages=351–354 |doi=10.5664/jcsm.6472}}
• Clinical integration challenges – Healthcare providers may be hesitant to rely on or interpret data from consumer-grade applications.{{Cite journal |last=Cheng |first=Penelope |title=Integration of Consumer Sleep Data in Clinical Practice: Challenges and Opportunities |journal=Sleep Health |date=2022 |doi=10.1016/j.sleh.2022.05.001}}

Several sleep apps have received academic attention or industry awards:

• Sleepio – A digital CBT-I (Cognitive Behavioral Therapy for Insomnia) program, Sleepio is one of the few sleep apps with substantial clinical validation.{{Cite web |title=Sleepio Clinical Evidence |url=https://www.sleepio.com/clinical/ |website=Sleepio}}
• Loóna – An app combining storytelling, soundscapes, and visuals to help users relax before bed. It was awarded Google Play's "Best App" in 2020 and an Apple Design Award in 2021.{{Cite web |title=Loóna |url=https://www.loona.app |website=Loóna}}

• Mobile health
• Sleep hygiene
• Sleep diary
• Wearable technology
• Digital therapeutics

{{Reflist}}

• [https://pubmed.ncbi.nlm.nih.gov/?term=sleep+app&sort=date Recent research on sleep apps – PubMed]

Category:Mobile applications

Category:Health software

Category:Sleep