Evidence map›Paper›PMID 39801800›Full record

ArticleSleep epidemiology2024

Sex-specific associations between self-reported sleep characteristics and 10-year cardiovascular disease risk in men and women of African descent living in a low socioeconomic status environment.

Philippa E Forshaw, Arron T L Correia, Laura C Roden, Estelle V Lambert, Brian T Layden, Sirimon Reutrakul, Stephanie J Crowley, Amy Luke, Lara R Dugas, Dale E Rae

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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

10 authors.

Philippa E ForshawHealth through Physical Activity, Lifestyle and Sport Research Centre and Division of Physiological Sciences, Department of Human Biology, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa.
Arron T L CorreiaHealth through Physical Activity, Lifestyle and Sport Research Centre and Division of Physiological Sciences, Department of Human Biology, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa.
Laura C RodenResearch Centre for Health and Life Sciences, Coventry University, Coventry, UK.
Estelle V LambertHealth through Physical Activity, Lifestyle and Sport Research Centre and Division of Physiological Sciences, Department of Human Biology, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa.
Brian T LaydenDivision of Endocrinology, Diabetes and Metabolism, University of Illinois Chicago, Chicago, IL, USA.
Sirimon ReutrakulDivision of Endocrinology, Diabetes and Metabolism, University of Illinois Chicago, Chicago, IL, USA.
Stephanie J CrowleyDepartment of Psychiatry & Behavioral Sciences, Biological Rhythms Research Laboratory, Rush University Medical Center, Chicago, IL, USA.
Amy LukePublic Health Sciences, Parkinson School of Health Sciences and Public Health, Loyola University Chicago, Maywood, IL, USA.
Lara R DugasPublic Health Sciences, Parkinson School of Health Sciences and Public Health, Loyola University Chicago, Maywood, IL, USA.
Dale E RaeHealth through Physical Activity, Lifestyle and Sport Research Centre and Division of Physiological Sciences, Department of Human Biology, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa.

Funding

Pilot and Feasibility ProgramP30DK020595 · NIDDK · UNIVERSITY OF CHICAGO · PI Matthew J Brady · 2013 to 2026
$20.9M
The function and regulation of the novel pregnancy-specific hexokinase HKDC1R01DK104927 · NIDDK · UNIVERSITY OF ILLINOIS AT CHICAGO · PI LAYDEN, BRIAN THOMAS, REDDY, TIMOTHY E · 2015 to 2024
$7.2M
METS-Sleep: Sleep timing, gut microbiota and cardiometabolic risk across the Epidemiologic TransitionR01HL148271 · NHLBI · LOYOLA UNIVERSITY CHICAGO · PI DUGAS, LARA RUTH, LAYDEN, BRIAN THOMAS · 2019 to 2023
$3.5M
Gut microbiota, short chain fatty acids, and adiposity across the epidemiologic transitionR01DK111848 · NIDDK · LOYOLA UNIVERSITY CHICAGO · PI DUGAS, LARA RUTH · 2017 to 2021
$3.0M
BLRD VA I01 BX003382NHLBI NIH HHS R01 HL148271NIDDK NIH HHS P30 DK020595NIDDK NIH HHS R01 DK104927NIDDK NIH HHS R01 DK111848
6 · The paper itself

Abstract

Background: Risk factors for cardiovascular disease (CVD) and sleep health are well-known to be sex- and race-specific. To build on the established relationship between sleep duration and CVD risk, this cross-sectional study aimed to describe sex-specific associations between CVD risk and other sleep characteristics (sleep quality, sleep timing and sleep onset latency) in low-income adults of African descent. Methods: Self-reported sleep (Pittsburgh Sleep Quality Index [PSQI], Epworth Sleepiness Scale [ESS], Insomnia Severity Index [ISI]), demographic and lifestyle data were collected in 412 adults (56 % women, 35.0 ± 7.6y, 40 % employed) living in an informal settlement in South Africa. CVD risk was determined using the BMI-modified Framingham 10-year CVD risk formula. Results: Logistic regression analyses, adjusted for employment, alcohol use and physical activity, indicated that men reporting poor sleep quality (OR: 1.95[95 %CI: 1.07-3.51], Conclusion: In addition to sleep duration, we found that sleep quality, sleep timing and sleep onset latency are additional risk factors for CVD in adults of African descent. Sex-specific differences in the sleep-CVD-risk relationship observed suggests that future studies and recommendations about sleep health in relation to CVD should take sex into account.

Indexed as

Circadian rhythmsSex differencesSleep healthSocioeconomic status

Identifiers

PMID39801800
PMCPMC11720418

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LicenceCC BY
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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.