Evidence map›Paper›PMID 29352396›Full record

ArticleJournal of immigrant and minority health2018

The Association Between the Intersection of Immigrant Status and Insurance with Adverse Birth Outcomes Among Mexican Women Residing in the San Joaquin Valley: A Mediation Analysis of Late Initiation or No Prenatal Care.

Brittany D Chambers, John A Capitman

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In one paragraph

Article in Journal of immigrant and minority health, 2018. 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
0.5field-weighted citation impact, top 29% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  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

2 authors at 2 institutions in 1 country.

Brittany D ChambersPreterm Birth Initiative-California, University of California, San Francisco, 550 16th Street, 3rd Floor, San Francisco, CA, 94158, USA. brittany.chambers@ucsf.edu.ORCID http://orcid.org/0000-0002-7558-9580
John A CapitmanThe Central Valley Health Policy Institute, California State University Fresno, 1625 East Shaw Ave., Suite 146, Fresno, CA, 93710-8106, USA.
California State University, Fresno · USUniversity of California, San Francisco · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Latinos are the largest growing population and have the highest fertility rates in the US. In response, this study assessed if late initiation of or no prenatal care (PNC) mediated the relationship among adverse birth outcomes and interactions between immigrant and insurance status. This study used cross-sectional data (2002-2004) limited to 109,399 women of Mexican ethnicity who had singleton births in the San Joaquin Valley, California. We conducted hierarchical mediation analyses. US-born Mexican women who used private or public insurance for PNC were more likely to have infants born at low-birth weight and premature compared to Mexican first generation immigrant women. Nonetheless, initiation of late or no PNC positively mediated the relationship between infants born premature to Mexican first generation immigrant women who used public insurance (ab/se(ab) = 2.123, p = .034). Findings from this study support acculturation theory and the need for multilevel approaches to address PNC among women of Mexican ethnicity.

Indexed as

AcculturationAdultCaliforniaCross-Sectional StudiesEmigrants and ImmigrantsFemaleGestational AgeHumansInsurance CoverageInsurance, HealthMedical AssistanceMexican AmericansPregnancyPregnancy OutcomePremature BirthPrenatal CareAdverse birth outcomesAnd mediation analysisMexican womenPrenatal care

Identifiers

PMID29352396
OpenAlexW2792397570

What OpenQuestion holds

Textmetadata
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.