Literature DB >> 24139442

A prospective study of sudden unexpected infant death after reported maltreatment.

Emily Putnam-Hornstein1, Janet U Schneiderman2, Mario A Cleves3, Joseph Magruder4, Henry F Krous5.   

Abstract

OBJECTIVE: To examine whether infants reported for maltreatment face a heightened risk of sudden infant death syndrome (SIDS) and other leading causes of sudden unexpected infant death (SUID). STUDY
DESIGN: Linked birth and infant death records for all children born in California between 1999 and 2006 were matched to administrative child protection data. Infants were prospectively followed from birth through death or 1 year of age. A report of maltreatment was modeled as a time-varying covariate; risk factors at birth were included as baseline covariates. Multivariable competing risk survival models were used to estimate the adjusted relative hazard of postneonatal SIDS and other SUID.
RESULTS: A previous maltreatment report emerged as a significant predictor of SIDS and other SUID. After adjusting for baseline risk factors, the rate of SIDS was more than 3 times as great among infants reported for possible maltreatment (hazard ratio: 3.22; 95% CI: 2.66, 3.89).
CONCLUSION: Infants reported to child protective services have a heightened risk of SIDS and other SUID. Targeted services and improved communication between child protective services and the pediatric health care community may enhance infant well-being and reduce risk of death.
Copyright © 2014 Mosby, Inc. All rights reserved.

Entities:  

Keywords:  ASSB; Accidental suffocation and strangulation in bed; CPS; Child protective services; HR; Hazard ratio; SIDS; SUID; Sudden infant death syndrome; Sudden unexpected infant death

Mesh:

Year:  2013        PMID: 24139442     DOI: 10.1016/j.jpeds.2013.08.073

Source DB:  PubMed          Journal:  J Pediatr        ISSN: 0022-3476            Impact factor:   4.406


  3 in total

1.  Trajectories of child protective services contact among Alaska Native/American Indian and non-Native children.

Authors:  Anna E Austin; Nisha C Gottfredson; Adam J Zolotor; Carolyn T Halpern; Stephen W Marshall; Rebecca B Naumann; Meghan E Shanahan
Journal:  Child Abuse Negl       Date:  2019-06-26

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

3.  The Children's Data Network: Harnessing the scientific potential of linked administrative data to inform children's programs and policies.

Authors:  Regan Foust; Jonathan Hoonhout; Lane Eastman Andrea; John Prindle; Rebecca Rebbe; Huy Nghiem; Himal Suthar; Stephanie Cuccaro-Alamin; Michael Mitchell; William Dawson; Lindsey Palmer; Siddharth Raj; Eunhye Ahn; Ivy Hammond; Claire McNellan; Julia Reddy; Wan-Ting Chen; Kamilah Mayfield; Emily Putnam-Hornstein; Jacquelyn McCroskey
Journal:  Int J Popul Data Sci       Date:  2022-03-21
  3 in total

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