Evidence map›Paper›PMID 40180802›Full record

ArticleSleep health2025

An ecological analysis of sleep health across five African-origin populations spanning the epidemiologic transition.

Candice Choo-Kang, Stephanie J Crowley, Sirimon Reutrakul, Dale E Rae, Estelle V Lambert, Nandipha Sinyanya, Pascal Bovet, Bharathi Viswanathan, Kweku Bedu-Addo, Jacob Plange-Rhule and 11 more

Abstract read
In one paragraph

Article in Sleep health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

21 authors.

Candice Choo-KangPublic Health Sciences, Parkinson School of Health Sciences and Public Health, Loyola University Chicago, Maywood, Illinois, USA. Electronic address: cchookang@luc.edu.
Stephanie J CrowleyDepartment of Psychiatry & Behavioral Sciences, Biological Rhythms Research Laboratory, Rush University Medical Center, Chicago, Illinois, USA.
Sirimon ReutrakulDivision of Endocrinology, Diabetes and Metabolism, Department of Medicine, University of Illinois Chicago, Chicago, Illinois, USA.
Dale E RaeHealth through Physical Activity, Lifestyle and Sport Research Centre & Division of Physiological Sciences, Department of Human Biology, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa.
Estelle V LambertHealth through Physical Activity, Lifestyle and Sport Research Centre & Division of Physiological Sciences, Department of Human Biology, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa.
Nandipha SinyanyaHealth through Physical Activity, Lifestyle and Sport Research Centre & Division of Physiological Sciences, Department of Human Biology, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa.
Pascal BovetUniversity Center for Primary Care and Public Health (Unisanté), Lausanne, Switzerland; Ministry of Health, Victoria, Seychelles.
Bharathi ViswanathanMinistry of Health, Victoria, Seychelles.
Kweku Bedu-AddoDepartment of Physiology, School of Medical Sciences, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana.
Jacob Plange-RhuleDepartment of Physiology, School of Medical Sciences, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana.
Prince Oti-BoatengDepartment of Physiology, School of Medical Sciences, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana.
Oscar Akunor DeiDepartment of Physiology, School of Medical Sciences, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana.
Kingsley ApusigaMinistry of Health, Victoria, Seychelles.
Terrence E ForresterSolutions for Developing Countries, University of the West Indies, Kingston, Jamaica.
Marie WilliamsSolutions for Developing Countries, University of the West Indies, Kingston, Jamaica.
Michaela DeglonAfrican Climate & Development Initiative, University of Cape Town, Cape Town, South Africa.
Jack A GilbertUniversity of California San Diego, San Diego, California, USA.
Brian T LaydenDivision of Endocrinology, Diabetes and Metabolism, Department of Medicine, University of Illinois Chicago, Chicago, Illinois, USA; Jesse Brown Veterans Affairs Medical Center, Chicago, Illinois, USA.
Cara JoycePublic Health Sciences, Parkinson School of Health Sciences and Public Health, Loyola University Chicago, Maywood, Illinois, USA.
Amy LukePublic Health Sciences, Parkinson School of Health Sciences and Public Health, Loyola University Chicago, Maywood, Illinois, USA.
Lara R DugasPublic Health Sciences, Parkinson School of Health Sciences and Public Health, Loyola University Chicago, Maywood, Illinois, USA; Division of Epidemiology & Biostatistics, School of Public Health, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa.

Funding

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
Modeling the epidemiologic transition: Energy expenditure, obesity and diabetesR01DK080763 · NIDDK · LOYOLA UNIVERSITY CHICAGO · PI LUKE, AMY H · 2009 to 2012
$2.4M
NHLBI NIH HHS R01 HL148271NIDDK NIH HHS R01 DK080763NIDDK NIH HHS R01 DK111848
6 · The paper itself

Abstract

backgroundSleep health is emerging as a public health priority due to its strong associations with several key domains of health. However, most of the existing literature are from studies located in high income settings and may not be representative of low-middle income settings. Leveraging the Modeling the Epidemiologic Transition Study, a study of cardiometabolic disease risk in five diverse African-origin populations, we explored differences in objectively measured sleep behavior across cohorts from Ghana, South Africa, Jamaica, Seychelles, and the United States.

methodsData from 809 participants (35-55 years old, 63% women) from the 5 Modeling the Epidemiologic Transition Study research sites were included. Objectively-measured sleep, using actigraphy, was scored according to the criteria of Patel and colleagues. For those with at least 5 nights of valid data, ecological mean sleep onset time, wake-up time, sleep duration, wake after sleep onset, and sleep efficiency were examined.

findingsAdjusted models indicate that sleep onset was earlier in all sites when compared to US (p<.005). Sleep efficiency varied by locations, being lower in participants from Ghana, South Africa, and Jamaica when compared to United States (Ghana β: -3.7, South Africa: -5.8, Jamaica: -1.3, p<.05 for all) and higher in Seychelles when compared to United States (Seychelles β: 1.6; p=.02). Women presented with shorter sleep duration but with higher sleep efficiency.

interpretationSleep duration, timing (wake time, midsleep time and sleep onset), and efficiency differ by country and sex, likely driven by socio-economic settings. Understanding sleep patterns in different contexts is needed to make informed and culturally appropriate health recommendations.

Indexed as

Black PeopleSleepActigraphyAdultFemaleGhanaHumansJamaicaMaleMiddle AgedSeychellesSouth AfricaUnited StatesEpidemiologyInternational global healthInternational healthSleepSleep health

Identifiers

PMID40180802
PMCPMC12140895

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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.