Literature DB >> 10996271

The healthy human infant tends to sleep in the prone rather than the supine position.

H Togari1, I Kato, N Saito, N Yamaguchi.   

Abstract

There are few reports about developmental behavior relating to roll over among healthy infants. We assessed the relationship between the placed position on sleeping and altered sleeping position the next morning by roll over among healthy infants. A health check-up clinic distributed a total of 1626 questionnaires to parents whose infant's ages are 1.5 years (or 18 months) old. The age at the first roll over and the change in sleeping position the next morning after they started to roll over, were investigated. The mean age of roll over from the supine to the prone among infants who were placed mainly in the prone sleeping position, at least in the first week of life, was 4.0 months (S.D., 1.1). The mean age of roll over from the supine to the prone among infants who were placed mainly in the supine sleeping position during early neonatal life and thereafter was 4.4 months (S.D., 1.2). The age of the first roll over from supine to prone was significantly younger in infants who were placed mainly in the prone sleeping position during early neonatal life. Among 651 infants who had been placed supine, 34.7% were found prone by roll over the next morning. Among 211 infants who had been placed prone, 14.2% were found supine by roll over the next morning. The number of infants who rolled over from supine to prone position was statistically greater than those from prone to supine. It is likely that the healthy human infant tends to sleep in the prone rather than the supine position. The finding is especially important for the correct assessment of the position in which SIDS cases were found dead.

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Year:  2000        PMID: 10996271     DOI: 10.1016/s0378-3782(00)00096-7

Source DB:  PubMed          Journal:  Early Hum Dev        ISSN: 0378-3782            Impact factor:   2.079


  2 in total

1.  Does the prone sleeping position affect the intracranial dural venous flow?

Authors:  Satoshi Tsutsumi; Hideo Ono; Yukimasa Yasumoto; Hisato Ishii
Journal:  Childs Nerv Syst       Date:  2019-03-30       Impact factor: 1.475

2.  A proof-of-concept study to construct Bayesian network decision models for supporting the categorization of sudden unexpected infant death.

Authors:  Hideki Hamayasu; Masashi Miyao; Chihiro Kawai; Toshio Osamura; Akira Yamamoto; Hirozo Minami; Hitoshi Abiru; Keiji Tamaki; Hirokazu Kotani
Journal:  Sci Rep       Date:  2022-06-13       Impact factor: 4.996

  2 in total

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