Evidence map›Paper›PMID 41399008›Full record

Observational studyObesity (Silver Spring, Md.)2026

Associations of Newborn Social Risk Factors With High Infant Weight-for-Length at Age 6 Months: Observational Clinical Cohort.

Carol Duh-Leong, Ivette Partida, Celine Bien-Aime, Morgan A Finkel, Melissa S Stockwell, Andrew G Rundle, Manuela Orjuela-Grimm, Eliana M Perrin, Erika R Cheng, Dodi Meyer and 3 more

Abstract readObservational Study
PubMed Full text at PMC Publisher
In one paragraph

Observational study in Obesity (Silver Spring, Md.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. Observational
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

13 authors.

Carol Duh-LeongDepartment of Pediatrics, NYU Grossman School of Medicine, New York, New York, USA.
Ivette PartidaDepartment of Pediatrics, Stanford University School of Medicine, Palo Alto, California, USA.
Celine Bien-AimeDepartment of Pediatrics, Columbia Vagelos College of Physicians and Surgeons, New York, New York, USA.
Morgan A FinkelDepartment of Pediatrics, Columbia Vagelos College of Physicians and Surgeons, New York, New York, USA.ORCID https://orcid.org/0000-0002-8869-657X
Melissa S StockwellDepartment of Pediatrics, Columbia Vagelos College of Physicians and Surgeons, New York, New York, USA.
Andrew G RundleDepartment of Epidemiology, Columbia Mailman School of Public Health, New York, New York, USA.
Manuela Orjuela-GrimmDepartment of Epidemiology, Columbia Mailman School of Public Health, New York, New York, USA.ORCID https://orcid.org/0000-0002-7385-7561
Eliana M PerrinDepartment of Pediatrics, Johns Hopkins Schools of Medicine and Nursing, Baltimore, Maryland, USA.
Erika R ChengDepartment of Pediatrics, Indiana University School of Medicine, Indianapolis, Indiana, USA.
Dodi MeyerDepartment of Pediatrics, Columbia Vagelos College of Physicians and Surgeons, New York, New York, USA.
Esther E VelasquezCenter for Population Health Sciences, Stanford University School of Medicine, Palo Alto, California, USA.
Jeff GoldsmithDepartment of Epidemiology, Columbia Mailman School of Public Health, New York, New York, USA.
Jennifer Woo BaidalDepartment of Pediatrics, Stanford University School of Medicine, Palo Alto, California, USA.

Funding

LINC: Leveraging IT for Neighborhoods in ChildhoodR01MD014872 · NIMHD · STANFORD UNIVERSITY · PI WOO BAIDAL, JENNIFER AIMEE · 2020 to 2025
$2.9M
Improving Diagnosis and Prevention of Pediatric Nonalcoholic Fatty Liver DiseaseK23DK115682 · NIDDK · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI WOO BAIDAL, JENNIFER AIMEE · 2018 to 2021
$768k
AHRQ HHS K12 HS022986National Institutes of Health/National Institute on Minority Health and Health Disparities R01MD014872NIDDK NIH HHS K23 DK115682NIMHD NIH HHS R01 MD014872Sala Elbaum Pediatric Research Scholars Program
6 · The paper itself

Abstract

objectiveThis study aimed to quantify associations between newborn social risk factors and high infant weight-for-length (WFL) at 6 months.

methodsWe conducted a longitudinal, observational study using electronic health record data among infants in New York City. We included newborns with a primary care screening questionnaire for social risk factors (food insecurity, housing instability, transportation problems, and utility hardship) measured using the Accountable Health Communities Screening Tool. We conducted regression analyses to assess associations between social risk factors and high WFL, or the 97.7th percentile at 6 months. Secondary analyses included additional single-time-point and longitudinal weight outcomes (continuous and dichotomous).

resultsAmong 1876 newborns, 77.3% identified as Hispanic/Latino, almost all had Medicaid insurance (96.6%), 355 (23.3%) had food insecurity risk, 149 (7.9%) had housing instability, 132 (7.0%) had transportation problems, and 110 (5.9%) had utility hardship. Newborns with utility hardship had higher odds of high WFL in unadjusted (OR 3.0, 95% CI: 1.8-5.2) and adjusted models (aOR 3.1, 95% CI: 1.7-5.6) accounting for infant, parent, and social risk factors.

conclusionsNewborn utility hardship was associated with obesity risk at age 6 months. Interventions to address newborn social risk factors should examine the effectiveness of utility shutoff protection to reduce excess infant weight gain.

Indexed as

Body HeightBody WeightFemaleFood InsecurityHumansInfantInfant, NewbornLongitudinal StudiesMaleMedicaidNew York CityRisk FactorsSocial FactorsWeight Gainhigh infant weight‐for‐lengthsocial risk factorsutility hardship

Identifiers

PMID41399008
PMCPMC12850598

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.