{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["NCD Risk Factor Collaboration (NCD-RisC)"],"funding":["UKRI Medical Research Council","Medical Research Council","NHGRI NIH HHS","National Institute for Health Research (NIHR)","UK Research and Innovation"],"pagination":["851-863"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC7616775"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["404(10455)"],"pubmed_abstract":["<h4>Background</h4>Adiposity can be measured using BMI (which is based on weight and height) as well as indices of abdominal adiposity. We examined the association between BMI and waist-to-height ratio (WHtR) within and across populations of different world regions and quantified how well these two metrics discriminate between people with and without hypertension.<h4>Methods</h4>We used data from studies carried out from 1990 to 2023 on BMI, WHtR and hypertension in people aged 20-64 years in representative samples of the general population in eight world regions. We graphically compared the regional distributions of BMI and WHtR, and calculated Pearson's correlation coefficients between BMI and WHtR within each region. We used mixed-effects linear regression to estimate the extent to whic"],"journal":["Lancet (London, England)"],"pubmed_title":["General and abdominal adiposity and hypertension in eight world regions: a pooled analysis of 837 population-based studies with 7·5 million participants."],"pmcid":["PMC7616775"],"funding_grant_id":["U54 HG013247","MR/V034057/1","NIHR200171"],"pubmed_authors":["Furdela V","Chiolero A","Klanova J","Ivanova-Pandourska IY","van den Born BJ","Moslem A","Regecova V","Kajantie EO","Leszczak J","Sarganas G","Sobek G","Tjonneland A","Batieha AM","Hambleton IR","Widyahening IS","Fijalkowska A","Balakrishna N","Gerdts E","Banach M","Ghasemi E","Lappas G","Lhoste VP","Wedderkopp N","Jan N","Turley ML","Zuziak M","Guerchet M","Magliano DJ","Chaturvedi N","Alkhatib BM","Donfrancesco C","Kriemler S","Renner JD","Berger N","Dika Z","Momenan A","Ruiz Moreno E","Wang YW","Melgarejo JD","Wang YX","Assuncao MCF","Popkin BM","Kadvan AL","Schienkiewitz A","Haugsgjerd T","Valdivia 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JJ"],"additional_accession":[]},"is_claimable":false,"name":"General and abdominal adiposity and hypertension in eight world regions: a pooled analysis of 837 population-based studies with 7·5 million participants.","description":"<h4>Background</h4>Adiposity can be measured using BMI (which is based on weight and height) as well as indices of abdominal adiposity. We examined the association between BMI and waist-to-height ratio (WHtR) within and across populations of different world regions and quantified how well these two metrics discriminate between people with and without hypertension.<h4>Methods</h4>We used data from studies carried out from 1990 to 2023 on BMI, WHtR and hypertension in people aged 20-64 years in representative samples of the general population in eight world regions. We graphically compared the regional distributions of BMI and WHtR, and calculated Pearson's correlation coefficients between BMI and WHtR within each region. We used mixed-effects linear regression to estimate the extent to whic","dates":{"release":"2024-01-01T00:00:00Z","publication":"2024 Aug","modification":"2026-07-16T12:51:44.671Z","creation":"2025-04-03T23:23:49.417Z"},"accession":"S-EPMC7616775","cross_references":{"pubmed":["39216975"],"doi":["10.1016/S0140-6736(24)01405-3"]}}