Evidence map›Paper›PMID 41205034›Full record

ArticleSleep & breathing = Schlaf & Atmung2025

Obesity,obstructive sleep Apnea, and cardiometabolic risk: A comparative analysis of population-Based cohorts in Switzerland, India, and Benin.

Abhishek Goyal, Ablo Prudence Wachinou, Theo Imler, Geoffroy Solelhac, Ankur Joshi, Gildas Agodokpessi, Pierre-Marie Preux, Raphael Heinzer

Abstract readComparative Study
PubMed Publisher
In one paragraph

Article in Sleep & breathing = Schlaf & Atmung, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  3. Article
  4. 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

8 authors.

Abhishek GoyalDepartment of Pulmonary Medicine, AIIMS Bhopal, Bhopal, India. avi784@gmail.com.ORCID 0000-0002-1719-4505
Ablo Prudence WachinouFaculty of Health Sciences, University of Abomey-Calavi, Cotonou, Benin.
Theo ImlerCentre of Investigation and Research on Sleep (CIRS), University Hospital of Lausanne (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland.
Geoffroy SolelhacCentre of Investigation and Research on Sleep (CIRS), University Hospital of Lausanne (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland.
Ankur JoshiDepartment of Community Medicine, AIIMS Bhopal, Bhopal, India.
Gildas AgodokpessiFaculty of Health Sciences, University of Abomey-Calavi, Cotonou, Benin.
Pierre-Marie PreuxEpiMaCT - Epidemiology of chronic diseases in tropical zone, Institute of Epidemiology and Tropical Neurology, Inserm U1094, IRD UMR270, Univ. Limoges, CHU Limoges, OmegaHealth, Limoges, France.
Raphael HeinzerCentre of Investigation and Research on Sleep (CIRS), University Hospital of Lausanne (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland.

Funding

European Respiratory Society European Respiratory SocietyFaculty of Biology and Medicine of Lausanne Faculty of Biology and Medicine of LausanneGlaxoSmithKline GlaxoSmithKlineIndian Council of Medical Research No 5/8/4-2 (COPD)2019-NCD-1Ligue Pulmonaire Vaudoise Ligue Pulmonaire VaudoiseSwiss National Science Foundation Swiss National Science Foundation
6 · The paper itself

Abstract

purposeThe prevalence and severity of Obstructive Sleep Apnea(OSA) vary by ethnicity, yet data comparing OSA and its anthropometric risk factors across global, population-based cohorts remain limited. We aimed to determine associations between morphological factors and OSA severity, as well as whether OSA-related cardiometabolic risks differ among Swiss, Beninese, and Indian adults.

methodsWe analyzed pooled data from 4,663 adults enrolled in three population-based sleep cohorts: HypnoLaus(Switzerland), BeSAS(Benin), and BLESS(India). Associations between OSA severity (apnea-hypopnea index, AHI) and anthropometric measures [body mass index (BMI), neck circumference, and waist circumference] were examined using multivariable regression models adjusted for age and sex, with effect modification by cohort assessed. Associations between OSA (AHI ≥ 15) and major cardiometabolic comorbidities (hypertension, diabetes, and metabolic syndrome) were also evaluated.

resultsFor each 1 Kg/m

conclusionsAssociations between obesity-related anthropometric factors, OSA severity, and cardiometabolic comorbidities differ across populations, with the strongest relationships observed in the Indian and Swiss cohorts. These findings underscore the importance of population-specific risk stratification and highlight the need to consider local anthropometric and epidemiologic contexts in OSA management and prevention strategies.

Indexed as

Cardiometabolic Risk FactorsCardiovascular DiseasesMetabolic SyndromeObesitySleep Apnea, ObstructiveAdultAgedBeninBody Mass IndexCohort StudiesComorbidityFemaleHumansIndiaMaleMiddle AgedAfricansCaucasiansEthnic GroupsIndianObstructive sleep apnea

Identifiers

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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.