Evidence map›Paper›PMID 36462213›Full record

ArticleThe journals of gerontology. Series B, Psychological sciences and social sciences2023

Gender Differences in Depressive Symptoms Following Child Death in Later Life.

Kagan A Mellencamp

Open access · greenAbstract read
In one paragraph

Article in The journals of gerontology. Series B, Psychological sciences and social sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.0field-weighted citation impact, top 24% 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

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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

3 citing papers in PubMed, 5 citations in OpenAlex.

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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

1 author at 1 institution in 1 country.

Kagan A MellencampDepartment of Sociology, Bowling Green State University, Bowling Green, Ohio, USA.
Bowling Green State University · US

Funding

Computing and Data CoreP2CHD050959 · NICHD · BOWLING GREEN STATE UNIVERSITY · PI BROWN, SUSAN L. · 2016 to 2021
$1.2M
NICHD NIH HHS P2C HD050959
6 · The paper itself

Abstract

objectivesThis study examined short- and long-term psychological adjustment to parental bereavement in later life for mothers and fathers.

methodsUsing 9 waves of data from the United States (1998-2014 Health and Retirement Study), I estimated trajectories of mothers' and fathers' depressive symptoms surrounding child death in later life, highlighting gender differences in adjustment. Moderation analyses were performed to uncover heterogeneous trajectories across parental characteristics.

resultsMothers were more likely to experience child death and reported higher depressive symptoms prior to parental bereavement than fathers. Mothers and fathers who lost a child reported an increase in depressive symptoms that diminished over time. The short-term elevation in depressive symptoms was marginally greater for mothers than fathers, but depressive symptoms declined at a faster rate for mothers than fathers in the years following the death. These counterbalancing changes resulted in mothers and fathers returning to their respective prebereavement levels of depressive symptoms between 2 and 4 years postbereavement. Parental age moderated trajectories distinctly by gender, and the presence of surviving children buffered the impact of child death on depressive symptoms for mothers but not fathers. DISCUSSION: Mothers more often experience child death in later life and their adjustment process differs from that of fathers, underscoring the salience of gender in shaping how older parents respond to the death of a child. Older parents and mothers without surviving children are vulnerable to prolonged elevations in depressive symptoms following the death of a child in later life.

Indexed as

BereavementDepressionFemaleHumansMaleMothersParentsSex FactorsLife courseParental bereavementPopulation heterogeneityPsychological adjustment

Identifiers

PMID36462213
PMCPMC10461527
OpenAlexW4310668698

What OpenQuestion holds

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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.