title: Neonatal neurobehavior predicts medical and behavioral outcome.
abstract: OBJECTIVE
  This study examined the NICU Network Neurobehavioral Scale (NNNS) as a predictor of negative medical and behavioral findings at 1 month to 4.5 years of age.
  
  
  METHODS
  The sample included 1248 mother-infant dyads (42% born at <37 weeks' gestational age [GA]) who were participating in a longitudinal study of the effects of prenatal substance exposure on child development. Mothers were recruited at 4 urban university-based centers and were mostly black and on public assistance. At 1 month of age, infants were tested with the NNNS. Latent profile analysis was conducted on NNNS summary scales to identify discrete behavioral profiles. The validity of the NNNS was examined by using logistic regression to predict prenatal drug exposure and medical and developmental outcomes through 4.5 years of age including adjustment for GA and socioeconomic status.
  
  
  RESULTS
  Five discrete behavioral profiles were reliably identified; the most extreme negative profile was found in 5.8% of the infants. The profiles showed statistically significant associations with prenatal drug exposure; GA and birth weight; head ultrasound; neurologic and brain disease findings; and abnormal scores on measures of behavior problems, school readiness, and IQ through 4.5 years of age.
  
  
  CONCLUSIONS
  The NNNS may be useful to identify infant behavioral needs to be targeted in well-infant pediatric care, as well as for referrals to community-based early intervention services.
authors.affiliation: Department of Pediatrics, Brown Center for the Study of Children at Risk, Warren Alpert Medical School, Brown University, Women and Infants Hospital, Providence, Rhode Island 02905, USA.
authors.forename: Jing
authors.initials: J
authors.lastname: Liu
authors.forename: Carla
authors.initials: C
authors.lastname: Bann
authors.forename: Barry
authors.initials: B
authors.lastname: Lester
authors.forename: Edward
authors.initials: E
authors.lastname: Tronick
authors.forename: Abhik
authors.initials: A
authors.lastname: Das
authors.forename: Linda
authors.initials: L
authors.lastname: Lagasse
authors.forename: Charles
authors.initials: C
authors.lastname: Bauer
authors.forename: Seetha
authors.initials: S
authors.lastname: Shankaran
authors.forename: Henrietta
authors.initials: H
authors.lastname: Bada
mesh_terms: D017668:Age of Onset; D002653:Child Behavior Disorders / Q000175:diagnosis / Q000453:epidemiology* / Q000209:etiology; D002657:Child Development / Q000187:drug effects*; D002675:Child, Preschool; D003042:Cocaine / Q000009:adverse effects*; D002658:Developmental Disabilities / Q000453:epidemiology / Q000209:etiology / Q000503:physiopathology; D005260:Female; D005500:Follow-Up Studies; D005865:Gestational Age; D006801:Humans; D015994:Incidence; D007223:Infant; D007231:Infant, Newborn; D007234:Infant, Premature; D007363:Intensive Care Units, Neonatal; D008137:Longitudinal Studies; D008297:Male; D015997:Neonatal Screening / Q000379:methods*; D011237:Predictive Value of Tests; D011247:Pregnancy; D011297:Prenatal Exposure Delayed Effects / Q000175:diagnosis / Q000453:epidemiology; D018570:Risk Assessment
chemical_list: D003042:Cocaine