Evidence map›Paper›PMID 38111051›Full record

ArticleAlzheimer's research & therapy2023

Multimodal lifestyle engagement patterns support cognitive stability beyond neuropathological burden.

Emily W Paolillo, Rowan Saloner, Anna VandeBunte, Shannon Lee, David A Bennett, Kaitlin B Casaletto

Abstract read
In one paragraph

Article in Alzheimer's research & therapy, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Trial
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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

6 authors.

Emily W Paolillo *Department of Neurology, Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco, CA, 94158, USA. Emily.Paolillo@ucsf.edu.
Rowan Saloner *Department of Neurology, Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco, CA, 94158, USA.
Anna VandeBunteDepartment of Neurology, Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco, CA, 94158, USA.
Shannon LeeDepartment of Neurology, Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco, CA, 94158, USA.
David A BennettDepartment of Neurological Sciences, Rush Medical College, Chicago, IL, USA.
Kaitlin B CasalettoDepartment of Neurology, Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco, CA, 94158, USA.

Funding

SUPPLEMENT TO RUSH ALZHEIMERS DISEASE CENTER COREP30AG010161 · NIA · RUSH UNIVERSITY MEDICAL CENTER · PI SCHNEIDER, JULIE A. · 1991 to 2020
$49.1M
EPIDEMIOLOGY OF NEURAL RESERVE AND NEUROBIOLOGY IN AGINGR01AG017917 · NIA · RUSH UNIVERSITY MEDICAL CENTER · PI BENNETT, DAVID ALAN · 2001 to 2023
$43.3M
Rush Alzheimer's Disease Research CenterP30AG072975 · NIA · RUSH UNIVERSITY MEDICAL CENTER · PI Lisa L Barnes, Julie A. Schneider · 2021 to 2026
$24.7M
RISK FACTORS, PATHOLOGY, AND CLINICAL EXPRESSIONS OF ADR01AG015819 · NIA · RUSH UNIVERSITY MEDICAL CENTER · PI BENNETT, DAVID ALAN · 1998 to 2024
$21.4M
Unraveling the intersection of synaptic biology, lifestyle, and cognitive resilienceR01AG072475 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI CASALETTO, KAITLIN B · 2021 to 2025
$4.3M
Can Behavior Shape Neural Health? Identifying Modifiable Factors to Prevent Cognitive Decline in AgeK23AG058752 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI CASALETTO, KAITLIN B · 2018 to 2022
$994k
NIA NIH HHS K23 AG058752NIA NIH HHS P30 AG010161NIA NIH HHS P30 AG072975NIA NIH HHS R01 AG015819NIA NIH HHS R01 AG017917NIA NIH HHS R01 AG072475
6 · The paper itself

Abstract

backgroundModifiable lifestyle behaviors account for a large proportion of dementia risk. However, the combined contributions of multidomain lifestyle patterns to cognitive aging are poorly understood, as most studies have examined individual lifestyle behaviors in isolation and without neuropathological characterization. This study examined data-driven patterns of lifestyle behaviors across multiple domains among older adults and tested their associations with disease-specific neuropathological burden and cognitive decline.

methodsParticipants included 2059 older adults enrolled in the longitudinal Memory and Aging Project (MAP) at the Rush Alzheimer's Disease Center; none of whom had dementia at baseline (73% no cognitive impairment (NCI), 27% mild cognitive impairment [MCI]). All participants completed cognitive testing annually. Lifestyle factors were measured during at least one visit and included (1) actigraphy-measured physical activity, as well as self-reported (2) sleep quality, (3) life space, (4) cognitive activities, (5) social activities, and (6) social network. A subset of participants (n = 791) had autopsy data for which burden of Alzheimer's disease (AD), cerebrovascular disease (CVD), Lewy body disease, and hippocampal sclerosis/TDP-43 was measured. Latent profile analysis across all 2059 participants identified distinct subgroups (i.e., classes) of lifestyle patterns. Linear mixed-effects models examined relationships between lifestyle classes and global cognitive trajectories, with and without covarying for all neuropathologies. Classes were also compared on rates of incident MCI/dementia.

resultsFive classes were identified: Class 1

conclusionsLifestyle behavior patterns among older adults account for differential rates of cognitive decline and clinical progression. Those with at least average engagement across all lifestyle domains exhibit greater cognitive stability after adjustment for neuropathology, highlighting the importance of engagement in multiple healthy lifestyle behaviors for later life cognitive health.

Indexed as

Alzheimer DiseaseCerebrovascular DisordersCognitive DysfunctionAgedCognitionHumansLife StyleAgingDementiaExerciseLatent profilesLife spaceMild cognitive impairmentNeuropathologyNeuropsychologySleepSocial activity

Identifiers

PMID38111051
PMCPMC10726589

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.