Evidence map›Paper›PMID 40297182›Full record

ArticleSSM - population health2025

Economic connectivity and clustering: The influence of social connections on maternal and infant health.

Tim A Bruckner, Samantha Gailey, Brenda Bustos

Abstract read
In one paragraph

Article in SSM - population health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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.

Tim A BrucknerJoe C. Wen School of Population and Public Health, University of California, Irvine, CA, USA.
Samantha GaileyDepartment of Forestry, Michigan State University, East Lansing, MI, USA.
Brenda BustosJoe C. Wen School of Population and Public Health, University of California, Irvine, CA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent influential work in the US finds that bridging capital (i.e., friendships across socioeconomic strata) appears to increase upward economic mobility over the life course. Examinations of the role of these social connections on health, however, remain relatively unexplored. We exploit a recent effort which made publicly available ZIP-level measures of bridging capital and bonding capital (i.e., depth of friend networks within the same stratum) using Facebook information on >70 million Americans. We test in California (8 million births; California Birth Cohort File 2005 to 2021) the relation between ZIP-level social connections and a wide range of maternal and infant health outcomes, including fetal and infant death, birthweight, preterm birth, pre-pregnancy smoking, and body mass index. Generalized estimating equation methods controlled for individual-level covariates as well as spatial clustering of observations. Findings indicate strong protective associations between bridging capital and the risk of fetal death, infant death, preterm birth, pre-conception maternal smoking, maternal body mass index, and infant birthweight. These protective associations are much greater in magnitude than other ZIP-level measures commonly used in the literature to assess economic and structural advantage. Bonding capital, however, appears detrimental for maternal pre-pregnancy smoking and body mass index. The potential of bridging ties (i.e., across socioeconomic strata) in promoting maternal and infant health should warrant much more scholarly consideration than it currently receives.

Indexed as

Bonding tiesBridging tiesFacebookInfant healthSmokingSocial networksZip code

Identifiers

PMID40297182
PMCPMC12036068

What OpenQuestion holds

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LicenceCC BY
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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.