Evidence map›Paper›PMID 20167891›Full record

ArticleAmerican journal of public health2010

Ethnic density effects on birth outcomes and maternal smoking during pregnancy in the US linked birth and infant death data set.

Richard J Shaw, Kate E Pickett, Richard G Wilkinson

Abstract read
In one paragraph

Article in American journal of public health, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed, 2 pooled it
–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

41 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. The Influence of County Contexts on Preterm Births Among Latina Mothers in the US.Journal of racial and ethnic health disparities · 2026
    Article
  4. Childhood Cancer Risk in Hispanic Enclaves in California.Journal of immigrant and minority health · 2025
    Article
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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

3 authors.

Richard J ShawDepartment of Health Sciences, University of York, Heslington, York, YO10 5DD, UK. rjs515@york.ac.uk
Kate E Pickett
Richard G Wilkinson

Funding

Department of Health CSA/03/07/014Medical Research Council G0601005Medical Research Council R1032101
6 · The paper itself

Abstract

objectivesWe investigated whether mothers from ethnic minority groups have better pregnancy outcomes when they live in counties with higher densities of people from the same ethnic group-despite such areas tending to be more socioeconomically deprived.

methodsIn a population-based US study, we used multilevel logistic regression analysis to test whether same-ethnic density was associated with maternal smoking in pregnancy, low birthweight, preterm delivery, and infant mortality among 581 151 Black and 763 201 Hispanic mothers and their infants, with adjustment for maternal and area-level characteristics.

resultsHigher levels of same-ethnic density were associated with reduced odds of infant mortality among Hispanic mothers, and reduced odds of smoking during pregnancy for US-born Hispanic and Black mothers. For Black mothers, moderate levels of same-ethnic density were associated with increased risk of low birthweight and preterm delivery; high levels of same ethnic density had no additional effect.

conclusionsOur results suggest that for Hispanic mothers, in contrast to Black mothers, the advantages of shared culture, social networks, and social capital protect maternal and infant health.

Indexed as

AdolescentAdultBlack or African AmericanFemaleHispanic or LatinoHumansInfant, Low Birth WeightInfant MortalityInfant, NewbornLogistic ModelsMiddle AgedMinority GroupsParityPopulation DensityPregnancyPregnancy Outcome

Identifiers

PMID20167891
PMCPMC2836344

What OpenQuestion holds

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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.