Evidence map›Paper›PMID 42899249›Full record

ArticleCurrent sleep medicine reports2026

Interventions to Address Sleep Disparities in the United States: A Narrative Review.

Alexis J Dickerson, Jelaina R Shipman-Lacewell, Marcus O Reed, Dayna A Johnson

Abstract read
In one paragraph

Article in Current sleep medicine reports, 2026. 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

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.

Alexis J DickersonEmory University, Department of Epidemiology at the Rollins School of Public Health, Atlanta, GA, United States.
Jelaina R Shipman-LacewellEmory University, Department of Epidemiology at the Rollins School of Public Health, Atlanta, GA, United States.
Marcus O ReedEmory University, Department of Epidemiology at the Rollins School of Public Health, Atlanta, GA, United States.
Dayna A JohnsonEmory University, Department of Epidemiology at the Rollins School of Public Health, Atlanta, GA, United States.

Funding

Multidisciplinary Research Training to Reduce Inequities in Cardiovascular HealthT32HL130025 · NHLBI · EMORY UNIVERSITY · PI Tené T Lewis, Viola Vaccarino · 2016 to 2026
$6.4M
NHLBI NIH HHS T32 HL130025
6 · The paper itself

Abstract

Purpose of Review: The purpose of this narrative review is to synthesize existing literature on interventions that address sleep disparities across the lifespan. These populations include racial and ethnic minoritized populations, individuals with disabilities, sexual and gender minoritized communities, socioeconomically disadvantaged individuals, and those living in both rural and urban environments. Recent Findings: We identified 16 studies focused on interventions targeting sleep disparities among racial and ethnic minoritized, socioeconomically disadvantaged, rural, and urban populations. Key intervention strategies included culturally, racially, linguistically, and individually tailored messaging; remote and community-based delivery to increase access; and stress management techniques. Summary: Despite evidence of sleep disparities, there is a lack of research focused on interventions targeting these disparities, especially among individuals with disabilities and sexual and gender minoritized communities. This narrative review highlights the need for culturally relevant, accessible, and scalable solutions across all populations who experience sleep disparities.

Indexed as

disadvantaged populationsinterventionssleep disorderssleep disparities

Identifiers

PMID42899249
PMCPMC13679846

What OpenQuestion holds

Textmetadata
Read underepoch 390

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 OpenQuestion graph.