Evidence map›Paper›PMID 32469967›Full record

ArticlePloS one2020

Unemployment during the Great Recession and large-for-gestational age births.

Vanessa M Oddo, Jessica C Jones-Smith

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 32% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Vanessa M OddoDepartment of Health Services, University of Washington School of Public Health, Seattle, Washington, United States of America.ORCID 0000-0002-8893-0637
Jessica C Jones-SmithDepartment of Health Services, University of Washington School of Public Health, Seattle, Washington, United States of America.
University of Washington · US

Funding

Precarious Employment as a Determinant of Overweight and Cardiometabolic RiskR00MD012807 · NIMHD · UNIVERSITY OF ILLINOIS AT CHICAGO · PI ODDO, VANESSA MARIE · 2020 to 2022
$747k
NIMHD NIH HHS R00 MD012807
6 · The paper itself

Abstract

backgroundSeveral studies have suggested that record high unemployment during the Great Recession was associated with deleterious changes in diet and weight-related health. However, studies have yet to explore whether the Great Recession was also associated with obesity-related health in utero.

methodsWe investigated whether increasing county-level unemployment was associated with large-for-gestational age (LGA) births, using repeated cross-sectional data from California birth records between 2008 and 2011 (n = 1,715,052). LGA was defined as >90th percentile, using the Oken reference. We use the annual 1-year lagged value for county-level unemployment (2007-2010) and limit our analyses to singleton, term births. Linear probability models, with county and year fixed-effects were used to examine the unemployment-LGA association. All models control for county-level foreclosure rates, child gender, and maternal age, parity, education, and race/ethnicity.

resultsAn increase in county-level unemployment was not statistically significantly associated with the prevalence of LGA (percentage point [PP]: 0.12; 95% CI: -0.02, 0.25). But, over the period of observation, for every one standard deviation increase in unemployment, LGA prevalence increased by 5% and p = 0.08.

conclusionsThese results cautiously suggest some deleterious effects of the Great Recession on obesity-related health in utero.

Indexed as

AdultCaliforniaCross-Sectional StudiesDiet, WesternEconomic RecessionFemaleFetal MacrosomiaHumansInfant, NewbornMaleMothersPregnancyPregnancy in ObesityUnemploymentYoung Adult

Identifiers

PMID32469967
PMCPMC7259553
OpenAlexW3029302366

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.