Effects of Smart Goggles Used at Bedtime on Objectively Measured Sleep and Self-Reported Anxiety, Stress, and Relaxation: Pre-Post Pilot Study
Notice bibliographique
Résumé
BACKGROUND: Insufficient sleep is a problem affecting millions. Poor sleep can instigate or worsen anxiety and, conversely, anxiety can lead to or exacerbate poor sleep. Advances in innovative consumer products designed to promote relaxation and support healthy sleep are emerging and their effectiveness can be evaluated accurately using sleep measurement technologies in the home environment. OBJECTIVE: This pilot study examined the effects of smart goggles used before bed to deliver gentle, slow vibration to the eyes and temples. The hypothesis was that objective sleep, perceived sleep, and self-reported stress, anxiety, relaxation, and sleepiness would improve after using the smart goggles. METHODS: A within-subjects, pre-post design was implemented. Healthy adults with subclinical threshold sleep problems (N=20) tracked their sleep nightly using a PSG-validated non-contact biomotion device and completed daily questionnaires (3 weeks baseline, 3 weeks intervention). During the baseline period, participants slept at home as usual. During the intervention period, participants used Therabody SmartGoggles in Sleep mode before bed. This mode, designed for relaxation, delivers gentle eye and temple massage through the inflation of internal compartments to create a kneading sensation and vibrating motors. At night, participants completed questionnaires assessing relaxation, stress, anxiety, and sleepiness immediately before and after goggle use. Daily questionnaires assessed perceived sleep each morning, complementing the objective sleep measurement. RESULTS: Multilevel regression analysis of 676 nights of objective data showed improvements during nights when using the goggles, relative to baseline, in sleep duration (+12 minutes, P=.014); deep sleep, measured in duration (+6 minutes, P=.002), proportion of the night (7% relative increase, P=.020), and BodyScore, an age- and gender-normalized measure of deep sleep (4% increase, P=.002); number of nighttime awakenings (7% decrease, P=.021); total time awake at night after sleep onset (-6 minutes, P=.047); and SleepScore, a measure of overall sleep quality (3% increase, P=.020). Questionnaire data showed that, compared to baseline, participants felt they had better sleep quality (P<.001) and felt more well-rested upon waking (P<.001). Furthermore, immediately after using the goggles each night, compared to immediately before, participants reported feeling sleepier, less stressed, less anxious, and more relaxed (all Ps<.05). A standardized inventory administered before and after the 3-week intervention period indicated reduced anxiety, confirming the nightly analysis (P=.03). CONCLUSIONS: Objectively measured sleep quality and duration, as well as perceived sleep, improved when using the goggles before bed compared to baseline. Participants also reported increased feelings of relaxation along with reduced stress and anxiety. Future research expanding on this pilot study is warranted to confirm the preliminary evidence presented in this brief report.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,001 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,005 | 0,001 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».