Evidence map›Paper›PMID 32846281›Full record

ArticleSleep medicine2020

Prevalence and correlates of obstructive sleep apnea in urban-dwelling, low-income, predominantly African-American women.

Lu Dong, Tamara Dubowitz, Ann Haas, Madhumita Ghosh-Dastidar, Stephanie Brooks Holliday, Daniel J Buysse, Lauren Hale, Tiffany L Gary-Webb, Wendy M Troxel

Open access · greenAbstract read
In one paragraph

Article in Sleep medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 2 pooled it
1.1field-weighted citation impact, top 23% of its field
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

8 citing papers in PubMed, 2 syntheses or guidelines pooled it, 16 citations in OpenAlex.

  1. Racial and Ethnic Disparities in the Diagnosis and Treatment of Obstructive Sleep Apnea: A Systematic Review.International journal of environmental research and public health · 2026
    Pooled it
  2. Pooled it
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  6. Review
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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

9 authors at 3 institutions in 1 country.

Lu DongRAND Corporation, Santa Monica, CA 90403, USA.
Tamara DubowitzRAND Corporation, Pittsburgh, PA 15213, USA.
Ann HaasRAND Corporation, Pittsburgh, PA 15213, USA.
Madhumita Ghosh-DastidarRAND Corporation, Santa Monica, CA 90403, USA.
Stephanie Brooks HollidayRAND Corporation, Santa Monica, CA 90403, USA.
Daniel J BuysseDepartment of Psychiatry, University of Pittsburgh, Pittsburgh, PA 15213, USA.
Lauren HaleProgram in Public Health, Department of Family, Population and Preventive Medicine, Stony Brook University, Stony Brook, NY 11794, USA.
Tiffany L Gary-WebbDepartments of Epidemiology and Behavioral and Community Health Sciences, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA 15213, USA.
Wendy M TroxelRAND Corporation, Pittsburgh, PA 15213, USA. Electronic address: wtroxel@rand.org.
RAND Corporation · USUniversity of Pittsburgh · USStony Brook University · US

Funding

Neighborhood Change: Impact on Sleep and Obesity-Related Health DisparitiesR01HL122460 · NHLBI · RAND CORPORATION · PI DUBOWITZ, TAMARA, TROXEL, WENDY M · 2015 to 2018
$3.3M
Impact of Greenspace Improvement on Physical Activity in a Low Income CommunityR01CA164137 · NCI · RAND CORPORATION · PI DUBOWITZ, TAMARA · 2012 to 2016
$3.1M
Natural Experiment of Neighborhood Revitalization and Cardiometabolic HealthR01HL131531 · NHLBI · RAND CORPORATION · PI GARY-WEBB, TIFFANY L, TROXEL, WENDY M · 2016 to 2019
$3.0M
NCI NIH HHS R01 CA164137NHLBI NIH HHS R01 HL122460NHLBI NIH HHS R01 HL131531
6 · The paper itself

Abstract

STUDY

objectivesThe current study examined the prevalence and correlates of obstructive sleep apnea in a sample of low-income, predominantly African-American women using two waves of data.

methodsParticipants were adults from two urban neighborhoods who enrolled in the PHRESH Zzz Study (N = 828; Pittsburgh Hill/Homewood Research on Neighborhoods, Sleep, and Health). A subsample who reported never receiving OSA diagnosis completed home sleep apnea testing in 2016 (n = 269, mean age 55.0 years, 79.6% female) and again in 2018 (n = 135). Correlates of OSA tested included demographic and anthropometric variables, health behavior/conditions, psychological distress and general health, smoking status, actigraphy-measured sleep, and neighborhood factors measured at baseline.

results18.0% of all 2016 participants reported receiving physician diagnoses of OSA. Among those who completed in-home assessment, 19.3% had AHI ≥15 and 33.8% had AHI ≥5 plus one or more sleep symptoms. Estimates of the prevalence of OSA in all 2016 participants were 33.8%-45.7% based on physician diagnoses and AHI results, depending on the criteria used. Age, gender, BMI, blood pressure, habitual snoring, neighborhood walkability, actigraphy-measured sleep characteristics, and smoking were concurrently associated with OSA in 2016. Changes in AHI categories from 2016 to 2018 were documented.

conclusionsLow-income African Americans, including women, are a high-risk group for OSA, but remain under-diagnosed and under-treated. The current findings show a high prevalence of OSA in African-American women and are among the first to demonstrate that both individual and neighborhood factors are implicated in OSA prevalence.

Indexed as

Black or African AmericanSleep Apnea, ObstructiveAdultFemaleHumansMiddle AgedPolysomnographyPrevalenceUrban PopulationActigraphyAfrican AmericansNeighborhoodSleep apneaWomen

Identifiers

PMID32846281
PMCPMC8329940
OpenAlexW3040153121

What Socratic holds

Textmetadata
LicenceTDM
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 Socratic graph.