Evidence map›Paper›PMID 36739473›Full record

ArticleStudies in family planning2023

Measuring Fertility Intentions During Times of Crisis: An Example Using Survey Data Amid the Covid-19 Pandemic.

Letícia J Marteleto, Molly Dondero, Sneha Kumar, David C Mallinson

Open access · bronzeAbstract read
In one paragraph

Article in Studies in family planning, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
11.3field-weighted citation impact, top 2% 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

7 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Article
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  4. Perceptions of the Future and Pregnancy Avoidance in the U.S.Population research and policy review · 2025
    Article
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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

4 authors at 3 institutions in 1 country.

Letícia J MarteletoDepartment of Sociology, University of Texas-Austin, Austin, TX, USA.
Molly DonderoDepartment of Sociology, American University, Washington, DC, USA.
Sneha KumarPopulation Research Center, University of Texas-Austin, Austin, TX, USA.
David C MallinsonDepartment of Family Medicine and Community Health, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, USA.ORCID 0000-0003-1069-6040
The University of Texas at Austin · USAmerican University · USUniversity of Wisconsin–Madison · US

Funding

Population Research CenterR24HD042849 · NICHD · UNIVERSITY OF TEXAS AUSTIN · PI HAYWARD, MARK D. · 2002 to 2016
$8.4M
Reproductive Responses to the Zika Virus Epidemic in BrazilR01HD091257 · NICHD · UNIVERSITY OF TEXAS AT AUSTIN · PI Leticia J Marteleto · 2018 to 2026
$5.8M
Sci-Tech Core-Population Dynamics Research CenterP2CHD044964 · NICHD · UNIVERSITY OF PENNSYLVANIA · PI EMILIO ALBERTO PARRADO · 2018 to 2026
$5.3M
Scientific & Technical CoreP2CHD042849 · NICHD · UNIVERSITY OF TEXAS AT AUSTIN · PI MARK D. HAYWARD · 2017 to 2026
$5.2M
NICHD NIH HHS P2C HD042849NICHD NIH HHS P2C HD044964NICHD NIH HHS R01 HD091257NICHD NIH HHS R24 HD042849
6 · The paper itself

Abstract

Fertility intentions-intentions regarding whether and when to have children-predict reproductive health outcomes. Measuring fertility intentions is difficult, particularly during macrostructural shocks, for at least two reasons: (1) fertility intentions may be especially volatile during periods of uncertainty and (2) macrostructural shocks may constrain data collection. We propose a set of indicators that capture how a macrostructural shock directly alters fertility intentions, with a particular focus on the Coronavirus disease 2019 (Covid-19) pandemic. We advance the conceptualization and construct of fertility intentions measures in three ways. First, we demonstrate the value of direct questions about whether women attributed changes in fertility intentions to the pandemic. Second, we highlight the importance of a typology that delineates fertility postponement, advancement, foregoing, and indecision. Third, we demonstrate the importance of incorporating a granular time window within a two-year period to capture short-term changes to fertility intentions. We exemplify the value of our proposed measures using survey data from a probabilistic sample of women aged 18-34 in Pernambuco, Brazil. We discuss the self-reported change in intentions due to Covid in wave 1 as well as panel change across waves. We further ground our contributions by uncovering important variations by social origin and parity.

Indexed as

COVID-19IntentionChildFemaleFertilityHumansPandemicsPregnancySurveys and Questionnaires

Identifiers

PMID36739473
PMCPMC10035575
OpenAlexW4319262278

What OpenQuestion holds

Textmetadata
LicenceTDM
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.