Evidence map›Paper›PMID 40247819›Full record

ArticleThe journals of gerontology. Series B, Psychological sciences and social sciences2025

Nonlinear Associations of Accelerometer-Based Sedentary Time With Cognitive Functions in the UK Biobank.

Silvio Maltagliati, Daniel H Aslan, M Katherine Sayre, Pradyumna K Bharadwaj, Madeline Ally, Mark H C Lai, Rand R Wilcox, Yann C Klimentidis, Gene E Alexander, David A Raichlen

Abstract read
In one paragraph

Article in The journals of gerontology. Series B, Psychological sciences and social sciences, 2025. 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

10 authors.

Silvio MaltagliatiHuman and Evolutionary Biology Section, Department of Biological Sciences, University of Southern California, Los Angeles, California, USA.
Daniel H AslanHuman and Evolutionary Biology Section, Department of Biological Sciences, University of Southern California, Los Angeles, California, USA.
M Katherine SayreDepartment of Anthropology, University of California Santa Barbara, Santa Barbara, California, USA.
Pradyumna K BharadwajDepartment of Psychology, University of Arizona, Tucson, Arizona, USA.
Madeline AllyDepartment of Psychology, University of Arizona, Tucson, Arizona, USA.
Mark H C LaiDepartment of Psychology, University of Southern California, Los Angeles, California, USA.
Rand R WilcoxDepartment of Psychology, University of Southern California, Los Angeles, California, USA.
Yann C KlimentidisDepartment of Epidemiology and Biostatistics, Mel and Enid Zuckerman College of Public Health, University of Arizona, Tucson, Arizona, USA.
Gene E AlexanderDepartment of Psychology, University of Arizona, Tucson, Arizona, USA.
David A RaichlenHuman and Evolutionary Biology Section, Department of Biological Sciences, University of Southern California, Los Angeles, California, USA.

Funding

Research Education ComponentP30AG019610 · NIA · SUN HEALTH RESEARCH INSTITUTE · PI GONZALEZ HERNANDEZ, GRACIELA · 2001 to 2020
$32.5M
Research Education ComponentP30AG072980 · NIA · BANNER HEALTH · PI HEATHER Allyson BIMONTE-NELSON · 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
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
NIA NIH HHS P30 AG019610NIA NIH HHS P30 AG072980NIA NIH HHS R01 AG064587NIA NIH HHS R01 AG072445NIA NIH HHS R56 AG067200NIH HHS P30AG019610NIH HHS P30AG072980NIH HHS R01AG064587NIH HHS R01AG072445NIH HHS R56AG067200state of Arizona and Arizona Department of Health Services, and the McKnight Brain Research Foundation
6 · The paper itself

Abstract

objectivesDevice-based sedentary time shows a nonlinear association with incident dementia among older adults. However, associations between sedentary time and cognitive performance have been inconsistent. We examined potential nonlinear associations between sedentary time and performance on cognitive tests among older adults.

methodsWe used data from the UK Biobank and included 32,875 adults aged 60-79. Sedentary time was estimated from a machine learning-based analysis of 1 week of wrist-worn accelerometer data. The primary outcomes were performance on 6 cognitive tests completed online (fluid intelligence test, short-term numeric memory test, symbol substitution test, visual-spatial memory test, alphanumeric, and numeric trail making tests), as well as a composite cognitive score.

resultsExcept for the visual-spatial memory test, nonlinear approaches provided a better fit than linear methods to model the associations of sedentary time with other cognitive outcomes. For these outcomes, segmented regression models showed that, although effect sizes were small, higher sedentary time was associated with better cognitive performance up to a threshold of sedentary time that varied from 9.7 to 12.3 hr per day. Above this threshold, the association between sedentary time and cognitive performance was attenuated toward the null or became negative (for the symbol substitution test only). DISCUSSION: As accounted by our nonlinear approach, the association between sedentary time and cognitive performance may shift from positive to null or negative above a 10-12-hr threshold among older adults. A combination of device-based and self-report assessments of sedentary behavior is needed to better understand these nonlinear associations.

Indexed as

AccelerometryCognitionSedentary BehaviorAgedBiological Specimen BanksFemaleHumansMaleMiddle AgedNeuropsychological TestsNonlinear DynamicsUK BiobankUnited KingdomAgingBrainCognitionEpidemiologySitting time

Identifiers

PMID40247819
PMCPMC12150772

What OpenQuestion holds

Textmetadata
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.