Evidence map›Paper›PMID 32293415›Full record

ArticleBMC women's health2020

Changes in individual and contextual socio-economic level influence on reproductive behavior in Spanish women in the MCC-Spain study.

Inés Gómez-Acebo, Trinidad Dierssen-Sotos, Camilo Palazuelos, Gemma Castaño-Vinyals, Beatriz Pérez-Gómez, Pilar Amiano, Tania Fernández-Villa, Eva Ardanaz, Claudia Suarez-Calleja, Juan Alguacil and 14 more

Abstract read
In one paragraph

Article in BMC women's health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. 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

24 authors.

Inés Gómez-AceboConsortium for Biomedical Research in Epidemiology and Public Health (CIBER Epidemiología y Salud Pública, CIBERESP), Madrid, Spain. ines.gomez@unican.es.
Trinidad Dierssen-SotosConsortium for Biomedical Research in Epidemiology and Public Health (CIBER Epidemiología y Salud Pública, CIBERESP), Madrid, Spain.
Camilo PalazuelosFacultad de Medicina, Universidad de Cantabria, Avda. Herrera Oria s/n, 39011, Santander, Spain.
Gemma Castaño-VinyalsConsortium for Biomedical Research in Epidemiology and Public Health (CIBER Epidemiología y Salud Pública, CIBERESP), Madrid, Spain.
Beatriz Pérez-GómezConsortium for Biomedical Research in Epidemiology and Public Health (CIBER Epidemiología y Salud Pública, CIBERESP), Madrid, Spain.
Pilar AmianoPublic Health Division of Gipuzkoa, BioDonostia Research Institute, San Sebastian, Spain.
Tania Fernández-VillaInstituto de Biomedicina (IBIOMED), Universidad de León, León, Spain.
Eva ArdanazConsortium for Biomedical Research in Epidemiology and Public Health (CIBER Epidemiología y Salud Pública, CIBERESP), Madrid, Spain.
Claudia Suarez-CallejaConsortium for Biomedical Research in Epidemiology and Public Health (CIBER Epidemiología y Salud Pública, CIBERESP), Madrid, Spain.
Juan AlguacilConsortium for Biomedical Research in Epidemiology and Public Health (CIBER Epidemiología y Salud Pública, CIBERESP), Madrid, Spain.
Ana Molina-BarcelóCancer and Public Health Area, FISABIO - Public Health, Valencia, Spain.
José J Jiménez-MoleónConsortium for Biomedical Research in Epidemiology and Public Health (CIBER Epidemiología y Salud Pública, CIBERESP), Madrid, Spain.
Jessica Alonso MoleroFacultad de Medicina, Universidad de Cantabria, Avda. Herrera Oria s/n, 39011, Santander, Spain.
Aina Roca-BarcelóEpidemiology Unit and Girona Cancer Registry, Oncology Coordination Plan, Department of Health, Government of Catalonia, Catalan Institute of Oncology, Girona, Spain.
María-Dolores ChirlaqueConsortium for Biomedical Research in Epidemiology and Public Health (CIBER Epidemiología y Salud Pública, CIBERESP), Madrid, Spain.
José Pedro Fernández VázquezComplejo Asistencial Universitario de León, Sacyl, León, Spain.
Amaia MolinuevoConsortium for Biomedical Research in Epidemiology and Public Health (CIBER Epidemiología y Salud Pública, CIBERESP), Madrid, Spain.
Nuria AragonésConsortium for Biomedical Research in Epidemiology and Public Health (CIBER Epidemiología y Salud Pública, CIBERESP), Madrid, Spain.
Maria Sala SerraDepartment of Epidemiology and Evaluation, IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain.
Gemma BinefaConsortium for Biomedical Research in Epidemiology and Public Health (CIBER Epidemiología y Salud Pública, CIBERESP), Madrid, Spain.
Victor MorenoConsortium for Biomedical Research in Epidemiology and Public Health (CIBER Epidemiología y Salud Pública, CIBERESP), Madrid, Spain.
Marina PollánConsortium for Biomedical Research in Epidemiology and Public Health (CIBER Epidemiología y Salud Pública, CIBERESP), Madrid, Spain.
Manolis KogevinasConsortium for Biomedical Research in Epidemiology and Public Health (CIBER Epidemiología y Salud Pública, CIBERESP), Madrid, Spain.
Javier LlorcaConsortium for Biomedical Research in Epidemiology and Public Health (CIBER Epidemiología y Salud Pública, CIBERESP), Madrid, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe association between socioeconomic level and reproductive factors has been widely studied. For example, it is well known that women with lower socioeconomic status (SES) tend to have more children, the age at first-born being earlier. However, less is known about to what extent the great socioeconomic changes occurred in a country (Spain) could modify women reproductive factors. The main purpose of this article is to analyze the influence of individual and contextual socioeconomic levels on reproductive factors in Spanish women, and to explore whether this influence has changed over the last decades.

methodsWe performed a cross-sectional design using data from 2038 women recruited as population-based controls in an MCC-Spain case-control study.

resultsHigher parent's economic level, education level, occupational level and lower urban vulnerability were associated with higher age at first delivery and lower number of pregnancies. These associations were stronger for women born after 1950: women with unfinished primary education had their first delivery 6 years before women with high education if they were born after 1950 (23.4 vs. 29.8 years) but only 3 years before if they were born before 1950 (25.7 vs. 28.0 years). For women born after 1950, the number of pregnancies dropped from 2.1 (unfinished primary school) to 1.7 (high education), whereas it remained almost unchanged in women born before 1950.

conclusionsReproductive behavior was associated with both individual and area-level socio-economic indicators. Such association was stronger for women born after 1950 regarding age at first delivery and number of pregnancies and for women born before 1950 regarding consumption of hormonal contraceptives or postmenopausal therapy.

Indexed as

Socioeconomic FactorsCase-Control StudiesChildCross-Sectional StudiesFemaleHumansInfant, NewbornPregnancyReproductive BehaviorReproductive HealthSpainAbortionsBreastfeedingContextual socioeconomicEducational levelHormonal therapyOccupationPregnanciesUrban vulnerability index

Identifiers

PMID32293415
PMCPMC7160989

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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.