The behavioral and emotional well-being of school-age children with different birth weights.
OBJECTIVE
To describe the mental and emotional well-being of children born at different birth weights assessed at school age and to identify neonatal, intervening health, and sociodemographic and environmental factors associated with mental and emotional well-being.


METHODS
To address this issue, we used a prospective cohort study involving two previously studied cohorts, which were recontacted at 8 to 10 years of age to provide a multisite sample of 247 children weighing 1000 g or less at birth, 364 weighing 1001 to 1500 g, 724 weighing 1501 to 2500 g, and 533 weighing more than 2500 g. Maternal reports were obtained on three standardized measures of mental and emotional well-being (the Rand General Well-being Scale, the Behavior Problem Index, and the Harter Scale of Child Competence) and on intervening health, sociodemographic, and environmental variables. Neonatal variables were derived from records at birth. Statistical techniques included analysis of variance and ordinary least squares multiple regression.


RESULTS
Lower birth weight children did not differ on the General Well-being Scale but were more likely to have behavior problems and to be considered less competent. Other important correlates of mental and emotional well-being included childhood illness, maternal mental health, home environment score, and exposure to household cigarette smoking.


CONCLUSIONS
Although lower birth weight children have poorer mental and emotional well-being, a substantial portion of this adverse outcome reflects modifiable environmental factors.
Department of Maternal and Child Health, Harvard School of Public Health, Boston, MA 02115, USA.
M C
MC
McCormick
K
K
Workman-Daniels
J
J
Brooks-Gunn
D000704:Analysis of Variance; D002653:Child Behavior Disorders / Q000209:etiology*; D002669:Child Welfare; D006304:Health Status; D006801:Humans; D007230:Infant, Low Birth Weight; D007231:Infant, Newborn; D019102:Infant, Very Low Birth Weight; D016018:Least-Squares Analysis; D008603:Mental Health; D011446:Prospective Studies; D012307:Risk Factors; D012959:Socioeconomic Factors