Evidence map›Paper›PMID 40448096›Full record

ArticlePopulation health metrics2025

Socio-economic contextual determinants and behavioral changes during pregnancy: evidence from the "MAMI-MED" cohort.

Francesca Bitonti, Angelo Mazza, Martina Barchitta, Andrea Maugeri, Roberta Magnano San Lio, Giuliana Favara, Claudia La Mastra, Maria Clara La Rosa, Fabiola Galvani, Elisa Pappalardo and 5 more

Abstract read
In one paragraph

Article in Population health metrics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

15 authors.

Francesca BitontiDepartment of Economics and Business, University of Catania, 95129, Catania, Italy.
Angelo MazzaDepartment of Economics and Business, University of Catania, 95129, Catania, Italy.
Martina BarchittaDepartment of Medical and Surgical Sciences and Advanced Technologies "GF Ingrassia", University of Catania, 95123, Catania, Italy.
Andrea MaugeriDepartment of Medical and Surgical Sciences and Advanced Technologies "GF Ingrassia", University of Catania, 95123, Catania, Italy.
Roberta Magnano San LioDepartment of Medical and Surgical Sciences and Advanced Technologies "GF Ingrassia", University of Catania, 95123, Catania, Italy.
Giuliana FavaraDepartment of Medical and Surgical Sciences and Advanced Technologies "GF Ingrassia", University of Catania, 95123, Catania, Italy.
Claudia La MastraDepartment of Medical and Surgical Sciences and Advanced Technologies "GF Ingrassia", University of Catania, 95123, Catania, Italy.
Maria Clara La RosaDepartment of Medical and Surgical Sciences and Advanced Technologies "GF Ingrassia", University of Catania, 95123, Catania, Italy.
Fabiola GalvaniDepartment of Obstetrics and Gynaecology, Azienda Di Rilievo Nazionale E Di Alta Specializzazione (ARNAS) Garibaldi Nesima, 95124, Catania, Italy.
Elisa PappalardoDepartment of Obstetrics and Gynaecology, Azienda Di Rilievo Nazionale E Di Alta Specializzazione (ARNAS) Garibaldi Nesima, 95124, Catania, Italy.
Carla EttoreDepartment of Obstetrics and Gynaecology, Azienda Di Rilievo Nazionale E Di Alta Specializzazione (ARNAS) Garibaldi Nesima, 95124, Catania, Italy.
Giuseppe EttoreDepartment of Obstetrics and Gynaecology, Azienda Di Rilievo Nazionale E Di Alta Specializzazione (ARNAS) Garibaldi Nesima, 95124, Catania, Italy.
Federico MertoliDepartment of Economics and Business, University of Catania, 95129, Catania, Italy.
Carmela Elita SchillaciDepartment of Economics and Business, University of Catania, 95129, Catania, Italy.
Antonella AgodiDepartment of Medical and Surgical Sciences and Advanced Technologies "GF Ingrassia", University of Catania, 95123, Catania, Italy. agodia@unict.it.

Funding

University of Catania, Italy, Department of Medical and Surgical Science and Advanced Technologies "GF Ingrassia" Programma ricerca di ateneo UNICT 2020-22 linea 2, PIAno di in CEntivi per la RIcerca di Ateneo 2020/2022
6 · The paper itself

Abstract

backgroundPregnancy is a period marked by significant physiological and psychological changes in women and increased fetal nutritional requirements, necessitating maternal adaptation and behavior modifications. Clinicians and health institutions recommend pregnant women engage in healthy practices, such as smoking and alcohol cessation, folic acid consumption, vaccinations, and the like. As behavioral changes in general, the individual's conduct during pregnancy is also influenced not only by personal socio-economic status but also by the socio-economic conditions of the individual's area of residence. This mechanism is recognized by the social epidemiological approach and relates to the concept of neighborhood effect on individual health-related choices. Leveraging such considerations, the work aims to explore the association between selected behaviors recommended by clinicians during pregnancy and specific contextual variables in the residential areas where pregnant women live.

methodsData from the "MAMI-MED" cohort, recruiting pregnant women during the first prenatal visit at a hospital in Catania (Italy), were analyzed. The cohort provides a valuable resource for investigating the relationship between various exposures during pregnancy and the health outcomes of both mothers and infants. Geocoding techniques were employed to link individual-level data to selected contextual variables related to education, income, unemployment, and housing costs in the participants' residential areas. Mann-Whitney test, Kruskal-Wallis tests, logistic regressions and mixtures of regressions models with concomitant variables are implemented 1) to investigate the associations between contextual covariates and individual responses, 2) to assess the presence of latent sub-groups of the population reacting differently to the same contextual factors.

resultsThe results of Mann-Whitney and Kruskal-Wallis tests, and logistic regressions indicated that neighborhood's socio-economic characteristics, such as educational level and unemployment rate, are associated with women's behaviors during pregnancy, smoking cessation in particular. Results from the logistic regression for BMI showed that obese and overweight individuals tend to live in neighborhoods where the percentage of individuals holding at least a bachelor's degree is comparatively lower. A mixture of regressions predicting individual BMI detected the presence of two latent groups in the population under analysis. The main finding seems to suggest that people living in worse socio-economic environments have a higher sensitivity to changes in education conditions, with respect to individuals living in better-off neighborhoods.

conclusionsThese findings highlight the importance of considering social and contextual dimensions in understanding and promoting healthy behaviors during pregnancy.

Indexed as

Health BehaviorPregnant PeopleResidence CharacteristicsAdultCohort StudiesFemaleHumansItalyPregnancyPrenatal CareSmoking CessationSocioeconomic FactorsYoung AdultBirth cohortMAMI-MEDNeighborhood effectPregnancyPublic health

Identifiers

PMID40448096
PMCPMC12125786

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.