Draft:Sleep app
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Sleep apps are a category of mobile health software designed to monitor and improve sleep behaviors. These applications typically use smartphone sensors or integrate with wearable technology to track sleep patterns, offer personalized insights, and provide tools to encourage better sleep hygiene.
Common features
[edit]While functionality varies, most sleep apps include features such as:
- Sleep tracking – Monitoring of sleep stages (e.g., light, deep, and REM sleep) and sleep duration using accelerometers, microphones, or data from wearable devices.
- Smart alarms – Alarms intended to wake users during lighter phases of sleep to minimize grogginess.
- Audio tools – Relaxation content such as white noise, music, guided meditation, or ambient sounds to aid sleep onset.
- Sleep logging – Manual or automated sleep diaries that record user habits and duration over time.
- Sleep coaching – Advice based on user behavior, often drawn from behavioral science or sleep medicine.
- Integration with wearable devices – Use of data from fitness trackers or smartwatches to provide more granular physiological analysis.
Evidence and effectiveness
[edit]Several academic studies have evaluated the effectiveness of sleep-related mobile apps. A 2024 meta-analysis of randomized trials concluded that app-based interventions produced moderate improvements in insomnia symptoms and general sleep quality.[1]
However, other research has indicated that many commercially available apps lack empirical validation. A 2023 review found that few sleep apps included evidence-based behavior change techniques.[2]
Limitations and concerns
[edit]While widely used, sleep apps present several concerns:
- Limited clinical validation – Many apps rely on algorithms that have not been independently validated in clinical settings.[3]
- Privacy risks – Studies have found that some apps transmit personal health data to third parties without user consent.[4]
- Orthosomnia – Excessive concern about sleep quality due to tracking may result in sleep anxiety or insomnia, a condition sometimes referred to as "orthosomnia".[5]
- Clinical integration challenges – There is limited consensus on how consumer-grade sleep data should be used in medical decision-making.[6]
Related topics
[edit]References
[edit]- ^ Choi, Young; Lee, Min Ji (2024). "Effectiveness of Smartphone Applications for Sleep: A Meta-Analysis". Sleep Medicine Reviews. 122: 237–244. doi:10.1016/j.sleep.2024.08.025. PMID 39213858.
- ^ Ko, Na-Eun; Lim, Hyeyoung (2023). "Evaluation of Sleep Mobile Health Applications Using the Behavior Change Technique Taxonomy". Journal of Medical Internet Research. 21 (6): 757–773. doi:10.2196/45329. PMC 10330944. PMID 36628485.
- ^ Becker, Spencer P. (2021). "Sleep Tracking Technology: A Review of Consumer Sleep Apps". Current Sleep Medicine Reports. 14 (1): 83–86. doi:10.1007/s40675-021-00213-1 (inactive 26 May 2025). PMC 8157780. PMID 34104344.
{{cite journal}}: CS1 maint: DOI inactive as of May 2025 (link) - ^ Papageorgiou, Apostolos (2021). "Privacy Risks of mHealth Apps: A Systematic Analysis". JMIR mHealth and uHealth. 14 (1): 83–86. doi:10.2196/27841 (inactive 26 May 2025). PMC 8157780. PMID 34104344.
{{cite journal}}: CS1 maint: DOI inactive as of May 2025 (link) - ^ Baron, Kelly G. (2017). "Orthosomnia: Are Some Patients Taking the Quantified Self Too Far?". Journal of Clinical Sleep Medicine. 13 (2): 351–354. doi:10.5664/jcsm.6472. PMC 5263088. PMID 27855740.
- ^ Cheng, Penelope (2022). "Integration of Consumer Sleep Data in Clinical Practice: Challenges and Opportunities". Sleep Health. 8 (4): 380–386. doi:10.1016/j.sleh.2022.05.001. PMID 35750631.
External links
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