Evidence map›Paper›PMID 37880839›Full record

ArticleThe journals of gerontology. Series B, Psychological sciences and social sciences2024

Gray Divorce During the COVID-19 Pandemic.

Susan L Brown, I-Fen Lin, Christopher A Julian

Abstract read
In one paragraph

Article in The journals of gerontology. Series B, Psychological sciences and social sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Susan L BrownDepartment of Sociology, Bowling Green State University, Bowling Green, Ohio, USA.ORCID 0000-0003-3350-4160
I-Fen LinDepartment of Sociology, Bowling Green State University, Bowling Green, Ohio, USA.ORCID 0000-0001-9070-990X
Christopher A JulianDepartment of Sociology, Bowling Green State University, Bowling Green, Ohio, USA.ORCID 0000-0001-8853-6683

Funding

Health and Well-being Effects on Later-life Divorce and Subsequent RepartneringR15AG047588 · NIA · BOWLING GREEN STATE UNIVERSITY · PI BROWN, SUSAN L. · 2014 to 2023
$1.3M
Computing and Data CoreP2CHD050959 · NICHD · BOWLING GREEN STATE UNIVERSITY · PI BROWN, SUSAN L. · 2016 to 2021
$1.2M
NIA NIH HHS R15 AG047588NIA NIH HHS R15AG047588NICHD NIH HHS P2C HD050959
6 · The paper itself

Abstract

objectivesDrawing on emerging evidence that the pandemic appears to have impeded both the divorce process and actual divorces, we examined whether the gray divorce rate (i.e., divorce among adults aged 50+) declined following the onset of the COVID-19 pandemic.

methodsData from the 2019 and 2021 American Community Survey (ACS) were used to track changes in gray divorce. With the 2021 ACS, we estimated pandemic-era gray divorce rates across sociodemographic subgroups for middle-aged and older adults. We then pooled the 2019 (N = 892,700) and 2021 (N = 898,828) data to examine whether the risk of divorce changed with the onset of the pandemic net of sociodemographic characteristics, distinguishing trends for middle-aged versus older adults.

resultsThe gray divorce rate dropped following the onset of the pandemic. This drop was more pronounced among middle-aged than older adults. For older adults, the divorce rate essentially stalled. DISCUSSION: The gray divorce rate now mirrors the overall trend of modest decline in U.S. divorce patterns. Whether the gray divorce rate continues to shrink as society transitions to a postpandemic environment awaits future research.

Indexed as

COVID-19DivorceAgedHumansMarriageMiddle AgedPandemicsHealthMarital dissolutionMarital qualityTrendsWell-being

Identifiers

PMID37880839
PMCPMC10809217

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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.