Evidence map›Paper›PMID 33141526›Full record

ArticleNursing research

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

Lisa M Blair, Jodi L Ford, P Cristian Gugiu, Rita H Pickler, Cindy L Munro, Cindy M Anderson

Open access · greenAbstract read
In one paragraph

Article in Nursing research. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.0field-weighted citation impact, top 23% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 4 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 1 institution in 1 country.

Lisa M BlairLisa 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.
Jodi L Ford
P Cristian Gugiu
Rita H Pickler
Cindy L Munro
Cindy M Anderson
The Ohio State University · US

Funding

Fragile Families and the Transition to AdulthoodR01HD036916 · NICHD · PRINCETON UNIVERSITY · PI Kathryn Edin, Jane Waldfogel · 1999 to 2026
$46.3M
ECONOMIC STATUS, PUBLIC POLICY, AND CHILD NEGLECTR01HD039135 · NICHD · PRINCETON UNIVERSITY · PI PAXSON, CHRISTINA H · 2000 to 2004
$3.1M
Child Care and Parental Employment in Fragile FamiliesR01HD040421 · NICHD · COLUMBIA UNIVERSITY TEACHERS COLLEGE · PI BROOKS-GUNN, JEANNE · 2002 to 2006
$2.8M
Training in the Science of Health DevelopmentT32NR014225 · NINR · OHIO STATE UNIVERSITY · PI MARY E HAPP, Rita H Pickler · 2013 to 2026
$2.6M
Future of Families and Child Wellbeing Study Summer Data WorkshopR25HD074544 · NICHD · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI Amanda Geller, Julien O Teitler · 2013 to 2026
$1.5M
Cognitive Risk Mapping in Low Birthweight ChildrenF31NR016623 · NINR · OHIO STATE UNIVERSITY · PI BLAIR, LISA M · 2016 to 2017
$69k
NICHD NIH HHS R01 HD036916NICHD NIH HHS R01 HD039135NICHD NIH HHS R01 HD040421NICHD NIH HHS R25 HD074544NINR NIH HHS F31 NR016623NINR NIH HHS T32 NR014225
6 · The paper itself

Abstract

backgroundDespite 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.

objectivesWe 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.

methodsWe 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.

resultsThe 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.

Indexed as

Infant, Low Birth WeightCognition DisordersFemaleHumansInfant, NewbornIntelligenceMaleMotor SkillsMotor Skills DisordersMovement DisordersSocial Determinants of HealthUnited States

Identifiers

PMID33141526
PMCPMC8926395
OpenAlexW3017783306

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.