title: Population-based risks of mortality and preterm morbidity by gestational age and birth weight.
abstract: The objective of this study is to examine the effect of small or large for gestational age (SGA/LGA) status on mortality and morbidity by gestational age.
  
  
  
  Logistic binomial regression was used to calculate relative risks (RRs) and 95% confidence intervals for infant mortality and preterm morbidities for SGA or LGA compared with appropriately grown (AGA) deliveries stratified by gestational age group.
  
  
  
  Compared with AGA infants of similar gestational age, SGA infants were at increased risk for infant mortality. Mortality risk was decreased for LGA infants born between 25 and 27 weeks (RR: 0.6) but increased for LGA infants born between 28 and 31 weeks (RR: 1.9). Risk of preterm morbidity was increased for SGA infants born between 28 and 38 weeks, but decreased for LGA infants born before 37 weeks.
  
  
  
  This study demonstrates the importance of considering birth weight for gestational age when evaluating morbidity and mortality risks.
authors.affiliation: Department of Pediatrics, University of California San Diego, La Jolla, CA, USA.
authors.forename: R J
authors.initials: RJ
authors.lastname: Baer
authors.affiliation: Department of Pediatrics, University of California San Francisco, San Francisco, CA, USA.
authors.forename: E E
authors.initials: EE
authors.lastname: Rogers
authors.affiliation: Department of Pediatrics, University of California San Francisco, San Francisco, CA, USA.
authors.forename: J C
authors.initials: JC
authors.lastname: Partridge
authors.affiliation: Department of Pediatrics, University of California San Francisco, San Francisco, CA, USA.
authors.forename: J G
authors.initials: JG
authors.lastname: Anderson
authors.affiliation: Department of Epidemiology and Biostatistics, University of California School of Medicine, San Francisco, CA, USA.
authors.forename: M
authors.initials: M
authors.lastname: Morris
authors.affiliation: Department of Obstetrics, Gynecology and Reproductive Sciences, University of California San Francisco, San Francisco, CA, USA.
authors.forename: M
authors.initials: M
authors.lastname: Kuppermann
authors.affiliation: School of Nursing, Department of Family Health Care Nursing, University of California San Francisco, San Francisco, CA, USA.
authors.forename: L S
authors.initials: LS
authors.lastname: Franck
authors.affiliation: Department of Obstetrics, Gynecology and Reproductive Sciences, University of California San Francisco, San Francisco, CA, USA.
authors.forename: L
authors.initials: L
authors.lastname: Rand
authors.affiliation: Department of Epidemiology and Biostatistics, University of California School of Medicine, San Francisco, CA, USA.
authors.forename: L L
authors.initials: LL
authors.lastname: Jelliffe-Pawlowski
mesh_terms: D001724:Birth Weight; D002140:California; D005260:Female; D005865:Gestational Age; D006801:Humans; D007223:Infant; D007226:Infant Mortality; D062071:Infant, Extremely Premature; D007231:Infant, Newborn; D007236:Infant, Small for Gestational Age; D016015:Logistic Models; D008297:Male; D054238:Perinatal Mortality; D011247:Pregnancy; D012189:Retrospective Studies; D012306:Risk