Evidence map›Paper›PMID 30614554›Full record

ArticleActa paediatrica (Oslo, Norway : 1992)2019

Measuring socioeconomic adversity in early life.

Kanwaljeet J S Anand, Joseph Rigdon, Cynthia R Rovnaghi, FeiFei Qin, Sahil Tembulkar, Nicole Bush, Kaja LeWinn, Frances A Tylavsky, Robert Davis, Donald A Barr and 1 more

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In one paragraph

Article in Acta paediatrica (Oslo, Norway : 1992), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Kanwaljeet J S AnandDepartment of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA.ORCID 0000-0001-6498-1483
Joseph RigdonQuantitative Sciences Unit, Stanford University School of Medicine, Stanford, CA, USA.
Cynthia R RovnaghiDepartment of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA.
FeiFei QinQuantitative Sciences Unit, Stanford University School of Medicine, Stanford, CA, USA.
Sahil TembulkarPain/Stress Neurobiology Lab, Women& Child Health Research Institute, Stanford University School of Medicine, Stanford, CA, USA.
Nicole BushDepartments of Psychiatry and Pediatrics, University of California, San Francisco, CA, USA.
Kaja LeWinnDepartments of Psychiatry and Pediatrics, University of California, San Francisco, CA, USA.
Frances A TylavskyDepartment of Preventive Medicine, University of Tennessee Health Sciences Center (UTHSC), Memphis, TN, USA.
Robert DavisDepartment of Pediatrics, University of Tennessee Health Sciences Center (UTHSC), Memphis, TN, USA.
Donald A BarrDepartment of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA.
Ian H GotlibDepartment of Psychology, Stanford University School of Humanities& Sciences, San Francisco, CA, USA.

Funding

The Effects of Early Life Stress on Neurodevelopment in Children and AdolescentsR01MH101495 · NIMH · STANFORD UNIVERSITY · PI GOTLIB, IAN H · 2013 to 2016
$2.9M
Measuring Infant Pain Objectively using Sensor Fusion and Machine Learning AlgorithmsR41DA046983 · NIDA · AUTONOMOUS HEALTHCARE, INC. · PI GHOLAMI, BEHNOOD · 2018 to 2018
$225k
Intramural NIH HHS Z99 MH999999Maternal & Child Health Research Institute at Stanford UniversityNIDA NIH HHS R41 DA046983NIMH NIH HHS R01 MH101495The Urban Child Institute to the UTHSC Department of Preventive Medicine
6 · The paper itself

Abstract

aimEarly life adversity leads to enduring effects on physical and mental health, school performance and other outcomes. We sought to identify potentially modifiable factors associated with socioeconomic adversity in early life.

methodsWe enrolled 1503 pregnant women aged 16-40 years, without pregnancy complications or pre-existing conditions from Shelby County, Tennessee. Social, familial and economic variables were analysed using principal components (PCs) analyses to generate the Socioeconomic Adversity Index (SAI). This was replicated using the National Survey of Children's Health (NSCH). Health and social outcomes were compared across the quintile groups defined by SAI values at the county, state and national levels.

resultsSignificant differences occurred across the SAI Quintile-1 to Quintile-5 groups in marital status, household structure, annual income, education and health insurance. Significantly worse health and social outcomes occurred in the lower versus higher SAI quintiles, including maternal depression, parental incarceration, child's birthweight and potential for child abuse. Maternal age and race also differed significantly across the SAI quintiles.

conclusionModifiable factors contributing to socioeconomic adversity in early life included marital status, household structure, annual income, education and health insurance. Those exposed to greater socioeconomic adversity as defined by SAI values had significantly worse maternal and child outcomes.

Indexed as

Adverse Childhood ExperiencesHealth Status IndicatorsSocioeconomic FactorsAdultCohort StudiesFemaleHumansPregnancyYoung AdultOutcomesPerinatalPovertyPregnancySocio-economic status

Identifiers

PMID30614554
PMCPMC6584079

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Registered trials

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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.