Evidence map›Paper›PMID 38747395›Full record

ArticleThe journals of gerontology. Series A, Biological sciences and medical sciences2024

Historic Cognitive Function Trajectories as Predictors of Sedentary Behavior and Physical Activity in Older Adults.

Dori E Rosenberg, Yinxiang Wu, Abisola Idu, Mikael Anne Greenwood-Hickman, Susan M McCurry, Andrea Z LaCroix, Pamela A Shaw

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Article in The journals of gerontology. Series A, Biological sciences and medical sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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

7 authors.

Dori E RosenbergInvestigative Sciences Division, Kaiser Permanente Washington Health Research Institute, Seattle, Washington, USA.ORCID 0000-0003-1017-8833
Yinxiang WuDepartment of Biostatistics, University of Washington, Seattle, Washington, USA.
Abisola IduBiostatistics Division, Kaiser Permanente Washington Health Research Institute, Seattle, Washington, USA.
Mikael Anne Greenwood-HickmanCollaborative Sciences Division, Kaiser Permanente Washington Health Research Institute, Seattle, Washington, USA.
Susan M McCurryDepartment of Biostatistics, University of Washington, Seattle, Washington, USA.
Andrea Z LaCroixFamily and Preventive Medicine, University of California, San Diego, La Jolla, California, USA.
Pamela A ShawBiostatistics Division, Kaiser Permanente Washington Health Research Institute, Seattle, Washington, USA.

Funding

Translational pharmacoepidemiology: neuroprotection and neurotoxicity of antihypertensives and strong anticholinergicsU19AG066567 · NIA · KAISER FOUNDATION RESEARCH INSTITUTE · PI CHRISTOPHER DIRK KEENE · 2021 to 2026
$80.4M
Furthering scientific understanding of mechanisms underlying resilience to the effects of AD pathology by incorporating state of the art quantification of gliosis, inflammation, & synaptic toxicityU01AG006781 · NIA · UNIVERSITY OF WASHINGTON · PI CRANE, PAUL K, LARSON, ERIC B · 1986 to 2020
$39.3M
NIA NIH HHS U01 AG006781NIA NIH HHS U01AG006781NIA NIH HHS U19 AG066567NIA NIH HHS U19AG066567
6 · The paper itself

Abstract

backgroundWe examined whether trajectories of cognitive function over 10 years predict later-life physical activity (PA), sedentary time (ST), and sleep.

methodsParticipants were from the Adult Changes in Thought (ACT) cohort study. We included 611 ACT participants who wore accelerometers and had 3+ measures of cognition in the 10 years prior to accelerometer wear. The Cognitive Assessment Screening Instrument (CASI) measured cognition and was scored using item-response theory (IRT). activPAL and ActiGraph accelerometers worn over 7 days measured ST and PA outcomes. Self-reported time in bed and sleep quality measured sleep outcomes. Analyses used growth mixture modeling to classify CASI-IRT scores into latent groups and examine associations with PA, ST, and sleep including demographic and health covariates.

resultsParticipants (Mean age = 80.3 (6.5) years, 90.3% White, 57.1% female, 29.3% had less than 16 years of education) fell into 3 latent trajectory groups: average stable CASI (56.1%), high stable CASI (34.0%), and declining CASI (9.8%). The declining group had 16 minutes less stepping time (95% confidence interval [95% CI]: 0.6, 31.4), 1 517 fewer steps per day (95% CI: 138, 2 896), and 16.3 minutes per day less moderate-to-vigorous PA (95% CI: 1.3, 31.3) compared to the average stable group. There were no associations between CASI trajectory and sedentary or sleep outcomes.

conclusionsDeclining cognition predicted lower PA providing some evidence of a reverse relationship between PA and cognition in older adults. However, this conclusion is limited by having outcomes at only one time point, a nonrepresentative sample, self-reported sleep outcomes, and using a global cognition measure.

Indexed as

AccelerometryCognitionExerciseSedentary BehaviorAgedAged, 80 and overFemaleHumansMaleSleepCognitive agingExerciseSedentary timeSleep

Identifiers

PMID38747395
PMCPMC11176976

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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.