Evidence map›Paper›PMID 31007841›Full record

ArticleBiodemography and social biology2018

Predictors and Implications of Accelerated Cognitive Aging.

Morgan E Levine, Amal Harrati, Eileen M Crimmins

Abstract read
In one paragraph

Article in Biodemography and social biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
1.3field-weighted citation impact, top 19% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.

  1. Pooled it
  2. The Association Between Cardiometabolic Risk and Cognitive Function Among Older Americans and Chinese.The journals of gerontology. Series A, Biological sciences and medical sciences · 2024
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Aging biomarkers and the brain.Seminars in cell & developmental biology · 2021
    Review
  8. Article
  9. Article
  10. The Alzheimer's Disease Exposome.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2019
    Article
  11. 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 at 3 institutions in 1 country.

Morgan E LevineDepartment of Pathology, Yale School of Medicine, New Haven, CT 06520, USA.
Amal HarratiStanford University School of Medicine, Stanford, CA 94305, USA.
Eileen M CrimminsLeonard Davis School of Gerontology, University of Southern California, Los Angeles, CA.
Stanford University · USUniversity of Southern California · USYale University · US

Funding

USC/UCLA Center on Biodemography &Population HealthP30AG017265 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI JENNIFER A AILSHIRE · 1999 to 2026
$17.9M
RESEARCH TRAINING IN GERONTOLOGYT32AG000037 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI JENNIFER A AILSHIRE, EILEEN M CRIMMINS · 1985 to 2026
$13.2M
Risk factors for Alzheimer's Disease and Related Dementia: Evidence from a Large Occupational CohortR01AG026291 · NIA · YALE UNIVERSITY · PI CANTLEY, LINDA, EISEN, ELLEN AURA · 2006 to 2021
$12.9M
Molecular Networks Underlying Resilience to Alzheimer's Disease Among APOE E4 CarriersR01AG057912 · NIA · YALE UNIVERSITY · PI GAITERI, CHRISTOPHER A., HIGGINS-CHEN, ALBERT TZONGYANG · 2017 to 2021
$4.5M
Biological Underpinnings of Socioeconomic Differentials in Health and MortalityR01AG060110 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI CRIMMINS, EILEEN M · 2018 to 2022
$2.6M
Molecular mechanisms and social constructs: How genes and environment regulate the rate of agingR00AG052604 · NIA · YALE UNIVERSITY · PI LEVINE, MORGAN ELYSE, TIGNANELLI, CHRISTOPHER J · 2017 to 2020
$866k
NIA NIH HHS P30 AG017265NIA NIH HHS R00 AG052604NIA NIH HHS R01 AG026291NIA NIH HHS R01 AG057912NIA NIH HHS R01 AG060110NIA NIH HHS T32 AG000037
6 · The paper itself

Abstract

Aging is a major risk factor for both normal and pathological cognitive decline. However, individuals vary in their rate of age-related decline. We developed an easily interpretable composite measure of cognitive age, and related both the level of cognitive age and cognitive slope to sociodemographic, genetic, and disease indicators and examine its prediction of dementia transition. Using a sample of 19,594 participants from the Health and Retirement Study, cognitive age was derived from a set of performance tests administered at each wave. Our findings reveal different conclusions as they relate to levels versus slopes of cognitive age, with more pronounced differences by sex and race/ethnicity for absolute levels of cognitive decline rather than for rates of declines. We also find that both level and slope of cognitive age are inversely related to education, as well as increased for persons with APOE ε4 and/or diabetes. Finally, results show that the slope in cognitive age predicts subsequent dementia among non-demented older adults. Overall, our study suggests that this measure is applicable to cross-sectional and longitudinal studies on cognitive aging, decline, and dementia with the goal of better understanding individual differences in cognitive decline.

Indexed as

AgedCognition DisordersCognitive AgingCognitive DysfunctionFemaleHumansMaleMetabolic DiseasesMichiganMiddle AgedNeuropsychological TestsRacial GroupsRisk FactorsSurveys and QuestionnairesAgingAPOECognitive DeclineDementiaEducationPolygenic Risk Score

Identifiers

PMID31007841
PMCPMC6469682
OpenAlexW2905731172

What Socratic holds

Textmetadata
LicenceTDM
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 Socratic graph.