Evidence map›Paper›PMID 41290764›Full record

ArticleScientific reports2025

Poor sleep health is associated with worse cardiometabolic risk among rural and urban schooled Nigerian adolescents.

Oluwatosin Eunice Olorunmoteni, Karine Scheuermaier, Adesegun Olayiwola Fatusi, Joan Ifeoluwa Akande, Francesc Xavier Gómez-Olivé

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In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. 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

5 authors.

Oluwatosin Eunice OlorunmoteniDepartment of Paediatrics and Child Health, College of Health Sciences, Obafemi Awolowo University, Ile-Ife, Osun State, Nigeria. doc_tosino@yahoo.com.
Karine ScheuermaierWits Sleep Laboratory, Brain Function Research Group, School of Physiology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.
Adesegun Olayiwola FatusiSchool of Public Health, University of Medical Sciences, Ondo, Ondo State, Nigeria.
Joan Ifeoluwa AkandeDepartment of Paediatrics, Obafemi Awolowo University Teaching Hospitals Complex, Ile-Ife, Osun State, Nigeria.
Francesc Xavier Gómez-OlivéMRC/Wits Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.

Funding

Carnegie Corporation of New York G-19-57145Wellcome Trust
6 · The paper itself

Abstract

There is limited evidence on the association between sleep health and cardio-metabolic risk (CMR) in Sub-Saharan African adolescents. Using a cross-sectional design, we assessed the association between sleep health and CMR, including 900 adolescents aged 13-19, attending six rural and six urban schools, in Osun State, Nigeria. Sleep health variables included sleep quality and duration (Pittsburgh Sleep Quality Index), risk of sleep apnea (Teen STOPBANG), and daytime sleepiness (Epworth Sleepiness Scale for Children and Adolescents). A continuous CMR-score was calculated using z-scores of mean arterial pressure (MAP), body mass index (BMI), waist circumference (WC), and random blood glucose. We analysed the association between sleep health, place of residence, and CMR using generalized linear models. Urban adolescents presented worse sleep health indicators and higher BMI, WC, and CMR-score (p < 0.05). Overall, poorer sleep quality was associated with higher CMR-score (β = 0.02), BMI z-score (β = 0.04), and WC z-score (β = 0.03) (p < 0.05), and lower sleep duration with higher CMR-score (β = 0.04), BMI z-score (β = 0.11), and WC z-score (β = 0.07) (p < 0.05). Risk of sleep apnea was associated with higher CMR-score (β = 0.08), MAP z-score (β = 0.17), and WC z-score (β = 0.14) (p < 0.05). Improving the sleep health of adolescents may prevent cardiometabolic diseases later in life.

Indexed as

Cardiometabolic Risk FactorsCardiovascular DiseasesSleepSleep Wake DisordersAdolescentBody Mass IndexCross-Sectional StudiesFemaleHumansMaleNigeriaRisk FactorsRural PopulationSchoolsSleep QualityUrban PopulationCardiometabolic diseaseCardiovascular diseaseMetabolic diseaseSleep characteristicsSleep disorders

Identifiers

PMID41290764
PMCPMC12647823

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