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1.
J Pediatr ; 255: 159-165.e4, 2023 04.
Article in English | MEDLINE | ID: mdl-36481243

ABSTRACT

OBJECTIVE: To test the impact of the fully integrated Smart Beginnings model on parental support of cognitive stimulation from 6 to 24 months across infancy and toddlerhood. STUDY DESIGN: This was a single-blind, 2-site randomized clinical trial of the Smart Beginnings intervention. Enrollment took place at birth in postpartum units of hospitals in New York City and Pittsburgh, Pennsylvania, with a consecutive sample of 403 mother-infant dyads. Smart Beginnings combines a Video Interaction Project-14-session universal primary prevention program delivered in the pediatric clinic at the time of well-child visits birth-36 months-with potential for Family Check-Up-3-4 sessions targeted secondary prevention home-visiting program. The principal outcome was parental support of cognitive stimulation assessed via parent survey and video-recorded observations of parent-child interactions. Ordinary least squares and mixed effects regressions were conducted. RESULTS: Families were mostly Black/African-American (50%) or Latinx (42%); all were Medicaid eligible (100%). Smart Beginnings significantly promoted cognitive stimulation during infancy and toddlerhood for most survey outcomes across time, including StimQ common total (effect size [ES] = 0.25, P = .01) and READ Quantity (ES = .19, P = .04) and Quality (ES = .30, P = .001). For the observations, the impact of Smart Beginnings varied by time, with significant impacts at 6 (ES = 0.37-.40, P < .001) and 24 (ES = 0.27-.30, P < .001) months, but not 18 months. CONCLUSIONS: Smart Beginnings positively promotes cognitive stimulation from infancy through toddlerhood using the integrated model. This study adds to the body of research showing preventive interventions in pediatric primary care and home visiting can support early relational health including parental support of cognitive stimulation. TRIAL REGISTRATION: NCT02459327.


Subject(s)
Child Development , Parents , Infant, Newborn , Female , Infant , Child , Humans , Single-Blind Method , Parents/psychology , Mothers , Cognition
2.
J Pediatr ; 209: 77-84, 2019 06.
Article in English | MEDLINE | ID: mdl-30879731

ABSTRACT

OBJECTIVE: To determine whether prenatal social support was associated with infant adiposity in the first 18 months of life in a low-income, Hispanic sample, known to be at high risk of early child obesity. STUDY DESIGN: We performed a longitudinal analysis of 262 low-income, Hispanic mother-infant pairs in the control group of the Starting Early child obesity prevention trial. Prenatal social support was measured using an item from the Maternal Social Support Index. We used multilevel modeling to predict weight-for-length z-score trajectories from birth to age 18 months and logistic regression to predict macrosomia and overweight status at ages 6, 12, and 18 months. RESULTS: High prenatal social support was independently associated with lower infant adiposity trajectories from birth to age 18 months (B = -0.40; 95% CI, -0.63 to -0.16), a lower odds of macrosomia (aOR = 0.35; 95% CI, 0.15-0.80), and a lower odds of overweight at ages 12 (aOR = 0.28; 95% CI, 0.10-0.74) and 18 months (aOR = 0.35; 95% CI, 0.14-0.89). Prenatal social support was not significantly associated with overweight status at age 6 months. CONCLUSIONS: Prenatal social support may protect against excessive infant adiposity and overweight in low-income, Hispanic families. Further research is needed to elucidate mechanisms underlying these associations and to inform preventive strategies beginning in pregnancy.


Subject(s)
Body Mass Index , Hispanic or Latino/statistics & numerical data , Pediatric Obesity/prevention & control , Prenatal Care/methods , Primary Prevention/methods , Social Support , Adiposity/physiology , Age Factors , Birth Weight , Cohort Studies , Female , Humans , Infant , Infant, Newborn , Logistic Models , Longitudinal Studies , Male , Multivariate Analysis , Overweight/epidemiology , Poverty , Pregnancy , Risk Assessment , Sex Factors
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