Evidence map›Paper›PMID 37523033›Full record

ArticleGeroScience2024

Associations between physical exercise type, fluid intelligence, executive function, and processing speed in the oldest-old (85 +).

Brian Duy Ho, Joseph M Gullett, Stephen Anton, Mary Kathryn Franchetti, Pradyumna K Bharadwaj, David A Raichlen, Gene E Alexander, Tatjana Rundek, Bonnie Levin, Kristina Visscher and 2 more

Open access · greenAbstract read
In one paragraph

Article in GeroScience, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.6field-weighted citation impact, top 10% 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

4 citing papers in PubMed, 10 citations in OpenAlex.

  1. Trial
  2. Article
  3. Review
  4. 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 at 5 institutions in 1 country.

Brian Duy HoCenter for Cognitive Aging and Memory Clinical Translational Research, Evelyn F. and William L. McKnight Brain Institute, University of Florida, Gainesville, FL, USA. bho@ufl.edu.ORCID 0000-0002-3142-0185
Joseph M GullettCenter for Cognitive Aging and Memory Clinical Translational Research, Evelyn F. and William L. McKnight Brain Institute, University of Florida, Gainesville, FL, USA.
Stephen AntonInstitute On Aging, University of Florida, Gainesville, FL, USA.
Mary Kathryn FranchettiEvelyn F. McKnight Brain Institute, University of Arizona, Tucson, AZ, USA.
Pradyumna K BharadwajEvelyn F. McKnight Brain Institute, University of Arizona, Tucson, AZ, USA.
David A RaichlenDepartment of Biological Sciences, University of Southern California, Los Angeles, CA, USA.
Gene E AlexanderEvelyn F. McKnight Brain Institute, University of Arizona, Tucson, AZ, USA.
Tatjana RundekEvelyn F. McKnight Brain Institute, University of Miami, Miller School of Medicine, Miami, FL, USA.
Bonnie LevinEvelyn F. McKnight Brain Institute, University of Miami, Miller School of Medicine, Miami, FL, USA.
Kristina VisscherEvelyn F. McKnight Brain Institute, University of Alabama at Birmingham, Heersink School of Medicine, Birmingham, AL, USA.
Adam J WoodsCenter for Cognitive Aging and Memory Clinical Translational Research, Evelyn F. and William L. McKnight Brain Institute, University of Florida, Gainesville, FL, USA.
Ronald A CohenCenter for Cognitive Aging and Memory Clinical Translational Research, Evelyn F. and William L. McKnight Brain Institute, University of Florida, Gainesville, FL, USA.
University of Florida · USUniversity of Arizona · USUniversity of Miami · USUniversity of Alabama at Birmingham · USUniversity of Southern California · US

Funding

Research Education ComponentP30AG019610 · NIA · SUN HEALTH RESEARCH INSTITUTE · PI REIMAN, ERIC MICHAEL · 2001 to 2020
$32.5M
Research Education ComponentP30AG072980 · NIA · BANNER HEALTH · PI Nicholas Ashton · 2021 to 2026
$24.9M
Revitalizing Cognition in Older Adults at Risk for Alzheimer's Disease with Near-Infrared Photobiomodulation: Diversity SupplementR01AG064587 · NIA · UNIVERSITY OF FLORIDA · PI ALEXANDER, GENE E, BOWERS, DAWN · 2019 to 2023
$4.0M
Inactivity, sedentary behavior, and the risk for Alzheimer’s disease in middle aged to older adultsR01AG072445 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI GENE E ALEXANDER, Yann Charles Klimentidis · 2022 to 2026
$3.3M
Clinical and Translational Predoctoral training in Alzheimers Disease and Related DementiasT32AG061892 · NIA · UNIVERSITY OF FLORIDA · PI PARAMITA CHAKRABARTY, JADA M LEWIS · 2018 to 2026
$1.8M
Physical activity predictors of cognitive and brain health in the risk for Alzheimer's diseaseR56AG067200 · NIA · UNIVERSITY OF ARIZONA · PI ALEXANDER, GENE E, RAICHLEN, DAVID · 2020 to 2020
$767k
Using Artificial Intelligence to Predict Cognitive Training Response in Amnestic Mild Cognitive ImpairmentK23AG080127 · NIA · UNIVERSITY OF FLORIDA · PI JOSEPH M GULLETT · 2023 to 2026
$640k
NIA NIH HHS K23 AG080127NIA NIH HHS P30 AG019610NIA NIH HHS P30 AG072980NIA NIH HHS R01 AG064587NIA NIH HHS R01 AG072445NIA NIH HHS R56 AG067200NIA NIH HHS T32 AG061892NIH HHS P30AG019610NIH HHS P30AG072980NIH HHS R01AG064587NIH HHS R01AG0720445NIH HHS R56AG067200NIH HHS T32AG061892
6 · The paper itself

Abstract

backgroundWhile much is known about the effects of physical exercise in adult humans, literature on the oldest-old (≥ 85 years old) is sparse. The present study explored the relationship between self-reported engagement in physical exercise and cognition in the oldest-old.

methodsThe sample included 184 cognitively healthy participants (98 females, MoCA mean score = 24.81) aged 85 to 99 years old (mean = 88.49 years). Participants completed the Community Healthy Activities Model Program for Seniors (CHAMPS) questionnaire and a cognitive battery including NIH-TB, Coding, Symbol Search, Letter Fluency, and Stroop task. Three groups of participants - sedentary (n = 58; MoCA mean score = 24; 36 females; mean age = 89.03), cardio (n = 60; MoCA mean score = 25.08; 29 females; mean age = 88.62), and cardio + strength training (n = 66; MoCA mean score = 25.28; 33 females; mean age = 87.91) - were derived from responses on CHAMPS.

resultsAnalyses controlled for years of education, NIH-TB Crystallized Composite, and metabolic equivalent of tasks. The cardio + strength training group had the highest cognitive performances overall and scored significantly better on Coding (p < 0.001) and Symbol Search (p < 0.05) compared to the sedentary group. The cardio + strength training group scored significantly better on Symbol Search, Letter Fluency, and Stroop Color-Word compared to the cardio group (p < 0.05).

conclusionsOur findings suggest self-reported exercise in the oldest-old is linked to better performance on cognitive measures of processing speed and executive functioning, and that there may be a synergistic effect of combining aerobic and resistance training on cognition.

Indexed as

Executive FunctionProcessing SpeedAged, 80 and overCognitionExerciseExercise TherapyFemaleHumansCognitionCross-sectional studyHealthy agingPhysical exercise

Identifiers

PMID37523033
PMCPMC10828155
OpenAlexW4385406189

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.