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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

Axelsson Fisk, Sten (författare)
Lund University,Lunds universitet,Obstetrik och gynekologi, Lund,Sektion V,Institutionen för kliniska vetenskaper, Lund,Medicinska fakulteten,Obstetrics and Gynaecology (Lund),Section V,Department of Clinical Sciences, Lund,Faculty of Medicine,Ystad Hospital
Alex-Petersen, Jesper (författare)
Ystad Hospital
Rostila, Mikael, 1977- (författare)
Stockholms universitet,Karolinska Institutet,Stockholm University,Centrum för forskning om ojämlikhet i hälsa (CHESS),Centrum för forskning om äldre och åldrande (ARC), (tills m KI)
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Liu, Can, 1984- (författare)
Stockholms universitet,Karolinska Institutet,Stockholm University,Centrum för forskning om ojämlikhet i hälsa (CHESS)
Juárez, Sol Pia, 1982- (författare)
Stockholms universitet,Stockholm University,Centrum för forskning om ojämlikhet i hälsa (CHESS)
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 (creator_code:org_t)
2024
2024
Engelska 7 s.
Ingår i: European Journal of Public Health. - 1101-1262 .- 1464-360X. ; 34:1, s. 22-28
  • Tidskriftsartikel (refereegranskat)
Abstract Ämnesord
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  • Background: Well-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. Methods: We 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). Results: Women 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). Conclusions: The 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.

Ämnesord

MEDICIN OCH HÄLSOVETENSKAP  -- Hälsovetenskap -- Folkhälsovetenskap, global hälsa, socialmedicin och epidemiologi (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Health Sciences -- Public Health, Global Health, Social Medicine and Epidemiology (hsv//eng)

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