Evidence map›Paper›PMID 20701789›Full record

ArticleBMC public health2010

"Sleep disparity" in the population: poor sleep quality is strongly associated with poverty and ethnicity.

Nirav P Patel, Michael A Grandner, Dawei Xie, Charles C Branas, Nalaka Gooneratne

Abstract read
In one paragraph

Article in BMC public health, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 198 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
198citing papers in PubMed, 3 pooled it
–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

198 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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138 more citing papers are in PubMed but not listed here.

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

5 authors.

Nirav P PatelCenter for Sleep and Respiratory Neurobiology, University of Pennsylvania, Philadelphia, PA, USA.
Michael A Grandner
Dawei Xie
Charles C Branas
Nalaka Gooneratne

Funding

TRAINING PROGRAM/RESPIRATORY NEUROBIOLOGY AND SLEEPT32HL007713 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI PACK, ALLAN I · 1992 to 2022
$11.9M
ROLE OF MELATONIN IN SECONDARY INSOMNIA IN THE ELDERLYK23AG001021 · NIA · UNIVERSITY OF PENNSYLVANIA · PI GOONERATNE, NALAKA S · 2000 to 2004
$685k
NHLBI NIH HHS T32HL007713NIA NIH HHS K23AG01021
6 · The paper itself

Abstract

backgroundLittle is known about the social determinants of sleep attainment. This study examines the relationship of race/ethnicity, socio-economic status (SES) and other factors upon sleep quality.

methodsA cross-sectional survey of 9,714 randomly selected subjects was used to explore sleep quality obtained by self-report, in relation to socioeconomic factors including poverty, employment status, and education level. The primary outcome was poor sleep quality. Data were collected by the Philadelphia Health Management Corporation.

resultsSignificant differences were observed in the outcome for race/ethnicity (African-American and Latino versus White: unadjusted OR = 1.59, 95% CI 1.24-2.05 and OR = 1.65, 95% CI 1.37-1.98, respectively) and income (below poverty threshold, unadjusted OR = 2.84, 95%CI 2.41-3.35). In multivariable modeling, health indicators significantly influenced sleep quality most prominently in poor individuals. After adjusting for socioeconomic factors (education, employment) and health indicators, the association of income and poor sleep quality diminished, but still persisted in poor Whites while it was no longer significant in poor African-Americans (adjusted OR = 1.95, 95% CI 1.47-2.58 versus OR = 1.16, 95% CI 0.87-1.54, respectively). Post-college education (adjusted OR = 0.47, 95% CI 0.31-0.71) protected against poor sleep.

conclusionsA "sleep disparity" exists in the study population: poor sleep quality is strongly associated with poverty and race. Factors such as employment, education and health status, amongst others, significantly mediated this effect only in poor subjects, suggesting a differential vulnerability to these factors in poor relative to non-poor individuals in the context of sleep quality. Consideration of this could help optimize targeted interventions in certain groups and subsequently reduce the adverse societal effects of poor sleep.

Indexed as

PovertyAdolescentAdultAgedBlack or African AmericanBlack PeopleCross-Sectional StudiesEducational StatusEmploymentFemaleHealth Status DisparitiesHispanic or LatinoHumansMaleMiddle AgedPennsylvania

Identifiers

PMID20701789
PMCPMC2927542

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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.