ArticleJournal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine2025
Early identification of sleep phenotypes in infants by videosomnography: a cross-sectional study.
Article in Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Assessing infants' sleep in the home setting: designing rational study approaches.Pediatric research · 2026Review
- Noninvasive Measurement of Infant Respiration During Sleep: A Validation Study.Sensors (Basel, Switzerland) · 2026Article
- Capturing typical toddler sleep in context: A videosomnography study.Sleep health · 2026Article
- Beyond the Sleep Lab: A Narrative Review of Wearable Sleep Monitoring.Bioengineering (Basel, Switzerland) · 2025Review
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4 authors.
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Abstract
STUDY
objectivesWe aimed to identify different sleep phenotypes in infancy, relying on auto-videosomnography metrics.
methodsIn this cross-sectional study, objective infant sleep metrics of 623 infants aged 9-13 months, recruited among users of Nanit baby monitors in the United States, were obtained from Nanit auto-videosomnography (1 week of data averaged) in the children's natural sleep environment. A cluster analysis was conducted to group infants based on sleep metrics.
resultsThree reproducible and stable sleep phenotypes were identified: Long Sleepers (n = 338), Interrupted Sleepers (n = 130), and Short Sleepers (n = 155). All sleep metrics were statistically significantly different in the 3 groups. Long Sleepers had longer nighttime sleep duration than Interrupted and Short Sleepers. Interrupted Sleepers presented more awakenings than Short and Long Sleepers and more parental interventions. Short Sleepers presented later bedtimes and earlier wake times compared with Long and Interrupted Sleepers. Nighttime sleep efficiency was better in Long Sleepers than in Interrupted and Short Sleepers, but Short Sleepers presented better sleep efficiency than Interrupted Sleepers.
conclusionsCluster analysis based on objective sleep metrics offers a novel multidimensional approach for the early identification of infants' sleep patterns. Phenotyping sleep patterns is extremely important in identifying the risk for developing neurobehavioral disorders, because night wakings and reduced sleep duration in infancy might be predictive of the development of emotional and behavioral problems later in childhood. CITATION: Breda M, Lucchini M, Barnett N, Bruni O. Early identification of sleep phenotypes in infants by videosomnography: a cross-sectional study.
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