Prediction of Cognitive Ability With Social Determinants in Children of Low Birth Weight.

Autor:	Blair LM; Lisa M. Blair, PhD, RNC-NIC, is Postdoctoral Scholar, Perinatal Research and Wellness Center, University of Kentucky College of Nursing, Lexington. Jodi L. Ford, PhD, RN, is Associate Professor, The Ohio State University College of Nursing, Columbus. P. Cristian Gugiu, PhD, was Assistant Professor, The Ohio State University College of Education and Human Ecology, Columbus, at the time of the study completion and is now in private practice. Rita H. Pickler, PhD, RN, FAAN, is FloAnn Sours Easton Endowed Professor of Child and Adolescent Health and Director of PhD and MS in Nursing Science Programs, The Ohio State University College of Nursing, Columbus. Cindy Munro, PhD, ANP-BC, FAAN, FAANP, FAAAS, is Dean and Professor, University of Miami School of Nursing and Health Studies, Coral Gables. Cindy M. Anderson, PhD, APRN-CNP, ANEF, FAHA, FNAP, FAAN, is Senior Associate Dean for Academic Affairs and Educational Innovation and Professor, The Ohio State University College of Nursing, Columbus., Ford JL, Gugiu PC, Pickler RH, Munro CL, Anderson CM
Jazyk:	angličtina
Zdroj:	Nursing research [Nurs Res] 2020 Nov/Dec; Vol. 69 (6), pp. 427-435.
DOI:	10.1097/NNR.0000000000000438
Abstrakt:	Background: Despite strong prevention efforts and advances in neonatal care in recent decades, low birth weight remains a serious public health problem in the United States, and survivors remain at increased risk for lifelong problems including cognitive deficits. Current regional and local strategies for referral often rely on variable thresholds for birth weight and gestational age that may be poor analogues to cognitive risk. Improving early referral criteria offers many benefits, including improved cognitive outcomes for children and improved cost-effectiveness and resource utilization in resource-limited communities. Objectives: We hypothesized that social determinants measurable at birth or at birth hospital discharge, when combined with birth weight and gestational age, would offer an improvement over birth weight and gestational age alone in predicting cognitive test scores in school-aged children with low birth weight. Methods: We conducted a secondary analysis using a birth cohort of children from the Fragile Families and Child Wellbeing Study. We created a panel of maternal, familial, and community-level social determinant indicators from the data and examined associations with cognitive measures assessed at age of 9 years. Results: The final social determinant model was statistically significant and explained 35% of the total variance in composite test scores. The "standard care" model (birth weight and gestational age) only explained 9% of the variance. Discussion: Assessment of social determinants may offer improvement over traditional referral criteria to identify children most at risk of cognitive deficits after low birth weight.
Databáze:	MEDLINE
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