© 2004 BMJ Publishing Group & Royal College of Paediatrics and Child Health
PERSPECTIVE
Infant health
Infants bed-sharing with mothers
1 Consultant Paediatrician and Senior Lecturer in Child Health, Department of Child Health, University of Leicester, Clinical Sciences Building, Leicester Royal Infirmary, Leicester LE2 7LX, UK
2 Senior Lecturer in Anthropology, Parent-Infant Sleep Lab, Department of Anthropology, University of Durham, 43 Old Elvet, Durham DH1 3HN, UK
3 Professor of Infant Health and Developmental Physiology, Institute of Child Health, Bristol Royal Hospital for Children, Bristol BS2 8AE, UK
4 Consultant Paediatrician & Senior Lecturer in Child Health, Royal Victoria Infirmary, Newcastle upon Tyne NE1 4LP, UK
Correspondence to:
Correspondence to:
Dr M Wailoo
Consultant Paediatrician and Senior Lecturer in Child Health, Department of Child Health, University of Leicester, Clinical Sciences Building, Leicester Royal Infirmary, Leicester LE2 7LX, UK; mw33@le.ac.uk
Helpful, harmful, or dont we know? (see pages1106 and 1111)
Keywords: infant; SIDS; bed-sharing; co-sleeping
| The first 150 words of the full text of this article appear below. |
The publication in the Lancet of the European Concerted Action on sudden infant death syndrome (SIDS) (ECAS study)1 resulted in front page headlines such as "Dont sleep with your baby" (Daily Telegraph: D Derbyshire, Science Correspondent, 16 January 2004). Yet the ECAS study said nothing new about bed-sharing and cot death: both the CESDI study (Confidential Enquiry into Stillbirth and Death in Infancy),2 data from New Zealand,3 and work from Ireland4 have superficially come to similar conclusions. Is the quality of evidence such that paediatricians, midwives, and health visitors should reasonably dissuade mothers from bed-sharing or co-sleeping, or is there more to it than that?
First, we must question the validity of extrapolating health messages from case controlled data sets. Bradford-Hill suggested robust criteria (temporal relationship, specificity, biological plausibility, coherence; others would add dose response) for inferring causality from associative data when prospective randomised trials are
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