Evidence map›Paper›PMID 37878824›Full record

ArticleEuropean journal of public health2024

Social inequalities in the risk of giving birth to a small for gestational age child in Sweden 2010-16: a cross-sectional study adopting an intersectional approach.

Sten Axelsson Fisk, Jesper Alex-Petersen, Mikael Rostila, Can Liu, Sol Pia Juárez

Open access · goldAbstract read
In one paragraph

Article in European journal of public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.7field-weighted citation impact, top 13% 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.

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 3 citations in OpenAlex.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

5 authors at 3 institutions in 1 country.

Sten Axelsson FiskDepartment of Clinical Sciences Lund, Obstetrics and Gynaecology, Lund University, Lund, BMC C14. Lund, 22185, Sweden.ORCID 0000-0002-8110-8376
Jesper Alex-PetersenDepartment of Obstetrics and Gynaecology, Ystad Hospital, Ystad, Sweden.
Mikael RostilaDepartment of Public Health Sciences, Stockholm University, Stockholm, Sweden.
Can LiuDepartment of Public Health Sciences, Stockholm University, Stockholm, Sweden.ORCID 0000-0003-2580-7903
Sol Pia JuárezDepartment of Public Health Sciences, Stockholm University, Stockholm, Sweden.ORCID 0000-0001-9086-7588
Stockholm University · SELasarettet i Ystad · SELund University · SE

Funding

Swedish Council for Health, Working Life, and Social 2021-00271Swedish Council for Health, Working Life, and Social welfare (FORTE) 2021-00271Swedish Research Council 2018-01825Swedish Research Council for Health, Working Life and Welfare 2016-0712898Swedish Research Council (Vetenskaprådet) 2018-01825
6 · The paper itself

Abstract

backgroundWell-established associations exist between the risk of small for gestational age (SGA) and unidimensional sociodemographic factors. We investigated social inequalities in SGA risk and adopted an intersectional approach that simultaneously considers different social categories. By doing so, we could assess heterogeneities in SGA risk within unidimensional sociodemographic categories.

methodsWe included all live 679 694 singleton births in Sweden between 2010 and 2016. The outcome was SGA, and the exposures were age, maternal educational level, dichotomous migration status and civil status. Thirty-six possible combinations of these factors constituted the exposure in an intersectional model. We present odds ratios (ORs) with 95% confidence intervals (95% CIs) and the area under the receiver operating characteristic curve (AUC)-a measurement of discriminatory accuracy (i.e. the ability to discriminate the babies born SGA from those who are not).

resultsWomen with low education and women born outside Sweden had ORs of 1.46 (95% CI 1.38-1.54) and 1.50 (95% CI 1.43-1.56) in unidimensional analyses, respectively. Among women aged under 25 with low education who were born outside Sweden and unmarried, the highest OR was 3.06 (2.59-3.63). The discriminatory accuracy was low for both the unidimensional model that included all sociodemographic factors (AUC 0. 563) and the intersectional model (AUC 0.571).

conclusionsThe intersectional approach revealed a complex sociodemographic pattern of SGA risk. Sociodemographic factors have a low accuracy in identifying SGA at the individual level, even when quantifying their multi-dimensional intersections. This cautions against interventions targeted to individuals belonging to socially defined groups to reduce social inequalities in SGA risk.

Indexed as

Infant, Small for Gestational AgeCross-Sectional StudiesFemaleGestational AgeHumansInfant, NewbornPregnancyRisk FactorsSocioeconomic FactorsSweden

Identifiers

PMID37878824
PMCPMC10843954
OpenAlexW4387950462

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.