Evidence map›Paper›PMID 40537879›Full record

ArticleJournal of activity, sedentary and sleep behaviors2025

Associations of physical activity, sedentary behavior, and sleep patterns with cognitive function among middle-aged and older adults.

Yuzi Zhang, Baojiang Chen, Emily T Hébert, Laura F DeFina, David Leonard, Carolyn E Barlow, Andjelka Pavlovic, Harold W Kohl

Abstract read
In one paragraph

Article in Journal of activity, sedentary and sleep behaviors, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Yuzi ZhangMichael and Susan Dell Center for Healthy Living, The University of Texas Health Science Center at Houston (UTHealth) School of Public Health in Austin, 1836 San Jacinto Blvd, Austin, Texas, 78701, USA. yuzi.zhang@uth.tmc.edu.
Baojiang ChenMichael and Susan Dell Center for Healthy Living, The University of Texas Health Science Center at Houston (UTHealth) School of Public Health in Austin, 1836 San Jacinto Blvd, Austin, Texas, 78701, USA.
Emily T HébertMichael and Susan Dell Center for Healthy Living, The University of Texas Health Science Center at Houston (UTHealth) School of Public Health in Austin, 1836 San Jacinto Blvd, Austin, Texas, 78701, USA.
Laura F DeFinaKenneth H Cooper Institute, Texas Tech University Health Sciences Center at Dallas, Dallas, Texas, USA.
David LeonardKenneth H Cooper Institute, Texas Tech University Health Sciences Center at Dallas, Dallas, Texas, USA.
Carolyn E BarlowKenneth H Cooper Institute, Texas Tech University Health Sciences Center at Dallas, Dallas, Texas, USA.
Andjelka PavlovicKenneth H Cooper Institute, Texas Tech University Health Sciences Center at Dallas, Dallas, Texas, USA.
Harold W KohlMichael and Susan Dell Center for Healthy Living, The University of Texas Health Science Center at Houston (UTHealth) School of Public Health in Austin, 1836 San Jacinto Blvd, Austin, Texas, 78701, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDespite the established evidence that physical activity, sedentary behavior, and sleep affect cognitive function individually, less is known about the combined effects of these movement behaviors. The study aimed to identify movement patterns of physical activity, sitting time, and sleep and to examine the association of movement patterns with cognitive function.

methodsThis cross-sectional study included 1,240 participants aged ≥ 55 years participating in the Cooper Center Longitudinal Study who visited the Cooper Clinic, Dallas (2016-2019) for preventive health care. Four movement behaviors were self-reported, including leisure-time aerobic activity, muscle-strengthening activity, sitting time, sleep, and other characteristics. Cognitive function was assessed by the Montreal Cognitive Assessment (MoCA). Four categorical indicators were created for each movement behavior and used to identify latent classes. Information criterion, scaled relative entropy and model interpretability were used to determine the optimal number of classes. Participants were assigned to the predicted classes based on their highest posterior probabilities. Multinomial regressions examined the association between movement patterns and each covariate. Linear and logistic regression models examined the association of movement patterns and cognitive function. A sensitivity analysis accounted for misclassification errors.

resultsParticipants were predominantly White (95%), male (71%), with an average age of 62 years. A 3-class model was selected, comprising class 1: active long sleepers, class 2: very active short sleepers, and class 3: moderately active short sleepers, representing 11%, 62%, and 27% of the sample. Compared to class 2, class 1 was more likely to be older and female, while class 3 was more likely to be female, have less education, be overweight and obese, and have chronic conditions. Compared to class 2, class 3 was associated with a lower MoCA total score, adjusting for sociodemographic factors. There were no differences in MoCA total score between class 2 and class 3 when further controlling for health behaviors and indicators. Sensitivity analysis accounting for misclassification suggested that class 3 had a significantly lower average MoCA total score than class 2.

conclusionsThe current study identified three distinct movement classes that exhibited different sociodemographic, health characteristics and cognitive functions. Findings highlight that less active, more sedentary, and shorter sleep individuals had worse cognitive function.

Indexed as

AdultAerobic activityCognitive functionDementiaMild cognitive impairmentMuscle-strengthening activitySedentary behaviorSedentary timeSleep

Identifiers

PMID40537879
PMCPMC12177967

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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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.