Evidence map›Paper›PMID 33027275›Full record

ArticlePloS one2020

A data-driven prospective study of dementia among older adults in the United States.

Jordan Weiss, Eli Puterman, Aric A Prather, Erin B Ware, David H Rehkopf

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
1.7field-weighted citation impact, top 16% 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

17 citing papers in PubMed, 1 synthesis or guideline pooled it, 21 citations in OpenAlex.

  1. Pooled it
  2. Article
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  7. Review
  8. Racial Disparities in Cognitive Health Among Older Americans: The Role of Debt-Asset Profiles During Preretirement Age.The journals of gerontology. Series B, Psychological sciences and social sciences · 2024
    Article
  9. Article
  10. Review
  11. Article
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  13. Socioeconomic Deprivation, Genetic Risk, and Incident Dementia.American journal of preventive medicine · 2023
    Article
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  15. Review
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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

5 authors at 5 institutions in 2 countries.

Jordan WeissPopulation Studies Center and the Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America.ORCID 0000-0002-0392-3535
Eli PutermanSchool of Kinesiology, The University of British Columbia, Vancouver, British Columbia, Canada.ORCID 0000-0002-5898-2348
Aric A PratherDepartment of Psychiatry, University of California, San Francisco, San Francisco, California, United States of America.
Erin B WareSurvey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, Michigan, United States of America.ORCID 0000-0003-4731-8158
David H RehkopfSchool of Medicine, Stanford University, Palo Alto, California, United States of America.
Stanford University · USUniversity of British Columbia · CAUniversity of California, San Francisco · USUniversity of Michigan · USUniversity of Pennsylvania · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundStudies examining risk factors for dementia have typically focused on testing a priori hypotheses within specific risk factor domains, leaving unanswered the question of what risk factors across broad and diverse research fields may be most important to predicting dementia. We examined the relative importance of 65 sociodemographic, early-life, economic, health and behavioral, social, and genetic risk factors across the life course in predicting incident dementia and how these rankings may vary across racial/ethnic (non-Hispanic white and black) and gender (men and women) groups. METHODS AND

findingsWe conducted a prospective analysis of dementia and its association with 65 risk factors in a sample of 7,908 adults aged 51 years and older from the nationally representative US-based Health and Retirement Study. We used traditional survival analysis methods (Fine and Gray models) and a data-driven approach (random survival forests for competing risks) which allowed us to account for the semi-competing risk of death with up to 14 years of follow-up. Overall, the top five predictors across all groups were lower education, loneliness, lower wealth and income, and lower self-reported health. However, we observed variation in the leading predictors of dementia across racial/ethnic and gender groups such that at most four risk factors were consistently observed in the top ten predictors across the four demographic strata (non-Hispanic white men, non-Hispanic white women, non-Hispanic black men, non-Hispanic black women).

conclusionsWe identified leading risk factors across racial/ethnic and gender groups that predict incident dementia over a 14-year period among a nationally representative sample of US aged 51 years and older. Our ranked lists may be useful for guiding future observational and quasi-experimental research that investigates understudied domains of risk and emphasizes life course economic and health conditions as well as disparities therein.

Indexed as

AgedDementiaEducational StatusEthnicityFemaleHealth StatusHumansLonelinessMaleMiddle AgedPovertyProportional Hazards ModelsProspective StudiesRisk FactorsSurvival AnalysisUnited States

Identifiers

PMID33027275
PMCPMC7540891
OpenAlexW3037046402

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.