Evidence map›Paper›PMID 39211875›Full record

ArticlemedRxiv : the preprint server for health sciences2024

Five-year changes in 24-hour sleep-wake activity and dementia risk in oldest old women.

Sasha Milton, Clémence Cavaillès, Sonia Ancoli-Israel, Katie L Stone, Kristine Yaffe, Yue Leng

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Sasha Milton
Clémence CavaillèsORCID 0000-0002-8443-2307
Sonia Ancoli-Israel
Katie L Stone
Kristine Yaffe
Yue Leng

Funding

Lifecourse sleep, cognitive decline and risk of Alzheimer's disease: a pooled cohort study.R01AG083836 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Yue Leng · 2024 to 2026
$2.1M
Development of novel polysomnography-based digital biomarkers to predict Alzheimer’s disease and Parkinson’s disease in real world settingsR21AG085495 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI LENG, YUE · 2023 to 2023
$469k
NIA NIH HHS R01 AG083836NIA NIH HHS R21 AG085495
6 · The paper itself

Abstract

introductionSleep disruptions are associated with cognitive aging in older adults. However, it is unclear whether longitudinal changes in 24-hour multidimensional sleep-wake activity are linked to cognitive impairment in the oldest old.

methodsWe studied 733 cognitively unimpaired women (mean age=82.5±2.9 years) who completed two actigraphy assessments over five years. We performed hierarchical clustering on principal components in nine sleep, napping, and circadian rest-activity rhythm parameters to identify multidimensional sleep-wake change profiles and multinomial logistic regression to evaluate the associations between sleep-wake changes and risk of cognitive impairment at follow-up.

resultsWe identified three sleep-wake change profiles: Stable Sleep (43.8%), Declining Nighttime Sleep (34.9%), and Increasing Sleepiness (21.3%). After adjustment for demographics and comorbidities, women with Increasing Sleepiness had approximately doubled (odds ratio=2.21, p=0.018) risk of dementia compared to those with Stable Sleep. DISCUSSION: Increasing sleepiness may be an independent marker or risk factor for dementia in oldest old women.

Identifiers

PMID39211875
PMCPMC11361246

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.