Evidence map›Paper›PMID 35262689›Full record

ArticleDemography2022

Life After Loss: A Prospective Analysis of Mortality Exposure and Unintended Fertility.

Emily Smith-Greenaway, Sara Yeatman, Abdallah Chilungo

Abstract read
In one paragraph

Article in Demography, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. The new sociology of bereavement.Annual review of sociology · 2025
    Article
  4. Life Course Timing of Mortality Exposure and Fertility Behavior.Population research and policy review · 2025
    Article
  5. Article
  6. 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

3 authors.

Emily Smith-GreenawayDepartment of Sociology, USC Dornsife College of Letters, Arts and Sciences, University of Southern California, Los Angeles, CA, USA.ORCID 0000-0001-8517-8155
Sara YeatmanDepartment of Health and Behavioral Sciences, College of Liberal Arts and Sciences, University of Colorado Denver, Denver, CO, USA.ORCID 0000-0002-5991-6473
Abdallah ChilungoTsogolo la Thanzi Centre, Balaka, Malawi.

Funding

University of Colorado Population CenterP2CHD066613 · NICHD · UNIVERSITY OF COLORADO · PI JANE A MENKEN · 2015 to 2026
$3.7M
Young Adults' Strategies for Navigating Reproduction in an AIDS EpidemicR01HD058366 · NICHD · PENNSYLVANIA STATE UNIVERSITY, THE · PI TRINITAPOLI, JENNY A · 2008 to 2012
$2.7M
The University of Colorado Population CenterR24HD066613 · NICHD · UNIVERSITY OF COLORADO · PI PAMPEL, FRED C · 2010 to 2014
$1.9M
The Relationship Between HIV and Fertility in a Context of Expanding ART AccessR01HD077873 · NICHD · UNIVERSITY OF CHICAGO · PI TRINITAPOLI, JENNY A · 2013 to 2017
$1.8M
Prospective determinants of unintended pregnancy and its health consequencesR03HD097360 · NICHD · UNIVERSITY OF COLORADO DENVER · PI SMITH-GREENAWAY, EMILY, YEATMAN, SARA · 2019 to 2020
$174k
Expanding Access to Longitudinal Population-Based Data on HIV in Young AdulthoodR03HD095690 · NICHD · UNIVERSITY OF CHICAGO · PI TRINITAPOLI, JENNY A · 2018 to 2019
$162k
NICHD NIH HHS P2C HD066613NICHD NIH HHS R01 HD058366NICHD NIH HHS R01 HD077873NICHD NIH HHS R03 HD095690NICHD NIH HHS R03 HD097360NICHD NIH HHS R24 HD066613
6 · The paper itself

Abstract

The relationship between mortality and fertility is a key component of demographic transition theory, placing it at the center of extensive inquiry. Among other linkages, mortality in women's communities and social networks influences their subsequent fertility. Existing demographic research assumes this is principally due to volitional mechanisms, implying that exposure to mortality consolidates women's desire to become pregnant, leading to intended fertility. Yet, insights from other disciplines suggest that mortality exposure could also increase women's unintended fertility through psychological, relational, and behavioral mechanisms. This study examines the relationships between network mortality exposure and women's hazard of pregnancy, and of unintended pregnancy specifically. We analyze two years (2009-2011) of closely spaced panel data on young Malawian women (N=1,272) enrolled in the Tsogolo la Thanzi study. Our data include information on funeral attendance and fertility desires measured weeks before conception, which is confirmed through frequent pregnancy testing. Hazard models show that the number of funerals women attend corresponds with a higher hazard of pregnancy and of unintended pregnancy specifically. These findings make clear that mortality exposure can influence fertility not by shaping women's desires but by disrupting the realization of those desires.

Indexed as

FertilityPregnancy, UnplannedFemaleHumansPregnancyProportional Hazards ModelsDemographic transitionFertilityMalawiMortalityUnintended pregnancy

Identifiers

PMID35262689
PMCPMC9122690

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.