Evidence map›Paper›PMID 39823032›Full record

ArticleSleep epidemiology2024

Sleep disturbances and progression of mobility disability: Longitudinal findings from the Nurses' Health Study.

Daniel Whibley, Monica M Shieu, Galit Levi Dunietz, Tiffany J Braley

Abstract read
In one paragraph

Article in Sleep epidemiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

4 authors.

Daniel WhibleyDepartment of Physical Medicine and Rehabilitation, University of Michigan, Ann Arbor, MI, USA.
Monica M ShieuDepartment of Neurology, Divisions of Neuroimmunology/Multiple Sclerosis and Sleep Medicine, University of Michigan Ann Arbor, MI, USA.
Galit Levi DunietzInstitute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, MI, USA.
Tiffany J BraleyInstitute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, MI, USA.

Funding

Multi-Institutional Training in Genetic/Genomic Approaches to Sleep DisordersT32HL110952 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI CHERVIN, RONALD D, MIGNOT, EMMANUEL J · 2013 to 2022
$5.0M
NHLBI NIH HHS T32 HL110952
6 · The paper itself

Abstract

Objective: To examine longitudinal associations between self-reported sleep disturbances and mobility disability progression among women, including subgroups with multiple sclerosis (MS), diabetes, and osteoarthritis (OA). Methods: Prospective cohort study using data from Nurses' Health Study long-form questionnaires (2008, 2012, 2014, 2016). Logistic regression was used to quantify associations between sleep-related variables at baseline and subsequent increase in mobility disability. Results: Of 70,303 women (mean age 73), 392 had MS, 7,302 had diabetes, and 24,099 had OA. Between 2008-2016, mobility disability increased by 16.9 % overall, 27.8 % in the MS subgroup, 27.0 % in the diabetes subgroup, and 23.7 % in the OA subgroup. Known/suspected obstructive sleep apnea was significantly associated with an increase in mobility disability between 2008 and 2016, overall (OR:1.4, 95 %CI:1.2,1.5), and in the diabetes (OR:1.5, 95 %CI:1.2,1.9) and OA subgroups (OR:1.2, 95 %CI:1.0,1.4), but not in the MS subgroup (OR:2.3, 95 %CI:0.6,8.9); however, across 2012-2016, this association was significant for MS (OR:4.0, 95 % CI:1.0,16.1). Suboptimal sleep duration was significantly associated with increased odds of mobility disability progression overall, but not in disease subgroups. Perception of adequate sleep was associated with lower odds of mobility disability progression overall (OR:0.82, 95 %CI:0.78,0.87) and for the OA subgroup (OR:0.83, 95 % CI:0.76,0.91). Excessive daytime sleepiness was associated with mobility disability progression overall (OR:1.2, 95 %CI:1.1,1.4) and for the OA subgroup (OR:1.2, 95 %CI:1.0,1.4). Conclusions: Prevalent sleep disturbances could increase disability progression among women. Chronic disease populations may be uniquely vulnerable. Informed by these data, future research could offer new insight into sleep-based strategies to ameliorate mobility decline.

Indexed as

AgingEpidemiologyObstructive sleep apneaSleepinessWomen’s health

Identifiers

PMID39823032
PMCPMC11737507

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.