Evidence map›Paper›PMID 33048194›Full record

ArticleInternational journal of public health2020

Trends and inequalities in unplanned pregnancy in three population-based birth cohorts in Pelotas, Brazil.

Laísa Rodrigues Moreira, Fernanda Ewerling, Iná S Dos Santos, Fernando César Wehrmeister, Alicia Matijasevich, Aluisio J D Barros, Ana M B Menezes, Helen Gonçalves, Joseph Murray, Marlos R Domingues and 1 more

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In one paragraph

Article in International journal of public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
1.8field-weighted citation impact, top 14% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 1 institution in 1 country.

Laísa Rodrigues MoreiraPostgraduate Program in Epidemiology, Federal University of Pelotas, 1160 - 3rd floor. Centro, Marechal Deodoro, Pelotas, RS, 96020-220, Brazil. laisa.moreira.psi@gmail.com.ORCID http://orcid.org/0000-0001-8393-3743
Fernanda EwerlingPostgraduate Program in Epidemiology, Federal University of Pelotas, 1160 - 3rd floor. Centro, Marechal Deodoro, Pelotas, RS, 96020-220, Brazil.
Iná S Dos SantosPostgraduate Program in Epidemiology, Federal University of Pelotas, 1160 - 3rd floor. Centro, Marechal Deodoro, Pelotas, RS, 96020-220, Brazil.
Fernando César WehrmeisterPostgraduate Program in Epidemiology, Federal University of Pelotas, 1160 - 3rd floor. Centro, Marechal Deodoro, Pelotas, RS, 96020-220, Brazil.
Alicia MatijasevichPostgraduate Program in Epidemiology, Federal University of Pelotas, 1160 - 3rd floor. Centro, Marechal Deodoro, Pelotas, RS, 96020-220, Brazil.
Aluisio J D BarrosPostgraduate Program in Epidemiology, Federal University of Pelotas, 1160 - 3rd floor. Centro, Marechal Deodoro, Pelotas, RS, 96020-220, Brazil.
Ana M B MenezesPostgraduate Program in Epidemiology, Federal University of Pelotas, 1160 - 3rd floor. Centro, Marechal Deodoro, Pelotas, RS, 96020-220, Brazil.
Helen GonçalvesPostgraduate Program in Epidemiology, Federal University of Pelotas, 1160 - 3rd floor. Centro, Marechal Deodoro, Pelotas, RS, 96020-220, Brazil.
Joseph MurrayPostgraduate Program in Epidemiology, Federal University of Pelotas, 1160 - 3rd floor. Centro, Marechal Deodoro, Pelotas, RS, 96020-220, Brazil.
Marlos R DominguesPostgraduate Program in Epidemiology, Federal University of Pelotas, 1160 - 3rd floor. Centro, Marechal Deodoro, Pelotas, RS, 96020-220, Brazil.
Mariângela Freitas SilveiraPostgraduate Program in Epidemiology, Federal University of Pelotas, 1160 - 3rd floor. Centro, Marechal Deodoro, Pelotas, RS, 96020-220, Brazil.
Universidade Federal de Pelotas · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo assess time trends in unplanned pregnancy, stratified by sociodemographic status, reproductive history, and inequalities in family income and women's skin color, in Pelotas, Brazil.

methodsData from mothers of participants of the 1993 (N = 5264), 2004 (N = 4243), and 2015 (N = 4268) Pelotas birth cohorts were analyzed. Unplanned pregnancy was investigated in the perinatal period, with tests to assess changes over time among different sociodemographic and reproductive history subgroups and inequalities as a function of family income and skin color.

resultsThe prevalence of unplanned pregnancy was 62.7% (3299/ 5264), 65.9% (2794/ 4243), and 52.2% (2226/ 4268) in the 1993, 2004, and 2015 cohorts, respectively. Black or brown women and women of lower socioeconomic status had a higher prevalence of unplanned pregnancy in all cohorts. The overall rate of unplanned pregnancy decreased over time in most subgroups. Inequality as a function of family income and skin color increased during the time frame of assessment.

conclusionsThe prevalence of unplanned pregnancies decreased in the period analyzed, but it is still unjustifiably high. Efforts aimed at reducing unplanned pregnancy are vital and will require special attention to the most vulnerable groups.

Indexed as

AdolescentAdultBrazilFemaleHumansIncomeMiddle AgedPregnancyPregnancy, UnplannedPrevalenceReproductive HistorySocioeconomic FactorsYoung AdultFamily planningHealth inequalitiesReproductive healthSocioeconomic factorsUnplanned pregnancy

Identifiers

PMID33048194
OpenAlexW3092559056

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.