Evidence map›Paper›PMID 38874516›Full record

ArticleAging2024

Associations of childhood, adolescence, and midlife cognitive function with DNA methylation age acceleration in midlife.

Junyu Chen, Leah Moubadder, Elizabeth S Clausing, Katrina L Kezios, Karen N Conneely, Anke Hüls, Andrea Baccarelli, Pam Factor-Litvak, Piera Cirrillo, Rachel C Shelton and 2 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Aging, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. 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

12 authors.

Junyu ChenDepartment of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA 30322, USA.
Leah MoubadderDepartment of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA 30322, USA.
Elizabeth S ClausingDepartment of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA 30322, USA.
Katrina L KeziosDepartment of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY 10032, USA.
Karen N ConneelyDepartment of Human Genetics, School of Medicine, Emory University, Atlanta, GA 30322, USA.
Anke HülsDepartment of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA 30322, USA.
Andrea BaccarelliDepartment of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY 10032, USA.
Pam Factor-LitvakDepartment of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY 10032, USA.
Piera CirrilloChild Health and Development Studies, Public Health Institute, Washington, DC 20024, USA.
Rachel C SheltonDepartment of Sociomedical Sciences, Mailman School of Public Health, Columbia University, New York, NY 10032, USA.
Bruce G LinkDepartment of Sociology, University of California Riverside, Riverside, CA 92507, USA.
Shakira F SugliaDepartment of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA 30322, USA.

Funding

Stress, Epigenetics and AgingR01AG058704 · NIA · EMORY UNIVERSITY · PI SHELTON, RACHEL C, SUGLIA, SHAKIRA FRANCO · 2018 to 2022
$3.4M
A Lifecourse Approach to Emerging Health Disparities in a US Birth CohortR01HD058515 · NICHD · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI COHN, BARBARA A, LINK, BRUCE G · 2008 to 2012
$2.9M
NIA NIH HHS R01 AG058704NICHD NIH HHS R01 HD058515
6 · The paper itself

Abstract

Prior studies showed increased age acceleration (AgeAccel) is associated with worse cognitive function among old adults. We examine the associations of childhood, adolescence and midlife cognition with AgeAccel based on DNA methylation (DNAm) in midlife. Data are from 359 participants who had cognition measured in childhood and adolescence in the Child Health and Development study, and had cognition, blood based DNAm measured during midlife in the Disparities study. Childhood cognition was measured by Raven's Progressive Matrices and Peabody Picture Vocabulary Test (PPVT). Adolescent cognition was measured only by PPVT. Midlife cognition included Wechsler Test of Adult Reading (WTAR), Verbal Fluency (VF), Digit Symbol (DS). AgeAccel measures including Horvath, Hannum, PhenoAge, GrimAge and DunedinPACE were calculated from DNAm. Linear regressions adjusted for potential confounders were utilized to examine the association between each cognitive measure in relation to each AgeAccel. There are no significant associations between childhood cognition and midlife AgeAccel. A 1-unit increase in adolescent PPVT, which measures crystalized intelligence, is associated with 0.048-year decrease of aging measured by GrimAge and this association is attenuated after adjustment for adult socioeconomic status. Midlife crystalized intelligence measure WTAR is negatively associated with PhenoAge and DunedinPACE, and midlife fluid intelligence measure (DS) is negatively associated with GrimAge, PhenoAge and DunedinPACE. AgeAccel is not associated with VF in midlife. In conclusion, our study showed the potential role of cognitive functions at younger ages in the process of biological aging. We also showed a potential relationship of both crystalized and fluid intelligence with aging acceleration.

Indexed as

CognitionDNA MethylationAdolescentAdultAgingChildCognitive AgingFemaleHumansIntelligenceMaleMiddle Agedadolescent cognitionadult cognitionage accelerationbiological agingepigenetics

Identifiers

PMID38874516
PMCPMC11210249

What Socratic 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 Socratic graph.