Evidence map›Paper›PMID 32267501›Full record

ArticleThe Gerontologist2020

Childhood Misfortune and Late-Life Stroke Incidence, 2004-2014.

Callie J Zaborenko, Kenneth F Ferraro, Monica M Williams-Farrelly

Abstract read
In one paragraph

Article in The Gerontologist, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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.

Callie J ZaborenkoDepartment of Sociology, Purdue University, West Lafayette, Indiana.
Kenneth F FerraroDepartment of Sociology, Purdue University, West Lafayette, Indiana.
Monica M Williams-FarrellyDepartment of Sociology, Purdue University, West Lafayette, Indiana.

Funding

Childhood Misfortune and Adult Health among Black, White, and Hispanic AmericansRF1AG043544 · NIA · PURDUE UNIVERSITY · PI FERRARO, KENNETH F. · 2020 to 2020
$825k
Childhood Misfortune and Adult Health Among Black, White and Hispanic AmericansR01AG043544 · NIA · PURDUE UNIVERSITY · PI FERRARO, KENNETH F. · 2014 to 2016
$587k
NIA NIH HHS R01 AG043544NIA NIH HHS RF1 AG043544
6 · The paper itself

Abstract

BACKGROUND AND

objectivesAlthough most strokes occur in later life, recent studies reveal that negative exposures decades earlier are associated with stroke risk. The purpose of this study was to examine whether accumulated and/or specific domains of early misfortune are related to stroke incidence in later life. RESEARCH DESIGN AND

methodsA decade of longitudinal data from stroke-free participants 50 years or older in the Health and Retirement Study were analyzed (N = 12,473). Incident stroke was defined as either self-reported first incident stroke or death due to stroke between 2004 and 2014.

resultsAnalyses revealed that accumulated misfortune was associated with increased stroke risk, but the relationship was moderated by wealth. Examining specific domains of childhood misfortune revealed that stroke incidence was greater for persons with behavioral/psychological risks, but that this relationship also was moderated by higher wealth for those with only one behavioral/psychological risk. DISCUSSION AND IMPLICATIONS: Accumulated childhood misfortune and adolescent depression heighten the risk of stroke in later life, but the influence is remediable through adult wealth. Reducing poverty in later life may decrease stroke incidence for persons exposed to negative childhood exposures.

Indexed as

PovertyStrokeAdolescentChildHumansIncidenceLongitudinal StudiesRetirementRisk FactorsCerebrovascular diseaseEpidemiologyLife course analysis

Identifiers

PMID32267501
PMCPMC7427481

What OpenQuestion holds

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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.