Variations in risks from smoking between high-income, middle-income, and low-income countries: an analysis of data from 179 000 participants from 63 countries

Digital

Autores:: Sathish, Thirunavukkarasu
Teo, Koon K.
Britz-McKibbin, Philip
Gill, Biban
Islam, Shofiqul
Paré, Guillaume
Rangarajan, Sumathy
Duong, MyLinh
Lanas, Fernando
Lopez-Jaramillo, Patricio
Mony, Prem K.
Pinnaka, Lakshmi
Kutty, Vellappillil Raman
Orlandini, Andres
Avezum, Alvaro
Wielgosz, Andreas
Poirier, Paul
Alhabib, Khalid F.
Temizhan, Ahmet
Chifamba, Jephat
Yeates, Karen
Kruger, Iolanthé M.
Khatib, Rasha
Yusuf, Rita
Rosengren, Annika
Zatonska, Katarzyna
Iqbal, Romaina
Lui, Weida
Lang, Xinyue
Li, Sidong
Hu, Bo
Dans, Antonio L.
Yusufali, Afzal Hussein
Bahonar, Ahmad
O’Donnell, Martin J.
McKee, Martin
Yusuf, Salim

Tipo de recurso:: Article of journal

Fecha de publicación:: 2022

Institución:: Universidad de Santander

Repositorio:: Repositorio Universidad de Santander

Idioma:: eng

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dc.title.spa.fl_str_mv	Variations in risks from smoking between high-income, middle-income, and low-income countries: an analysis of data from 179 000 participants from 63 countries
title	Variations in risks from smoking between high-income, middle-income, and low-income countries: an analysis of data from 179 000 participants from 63 countries
spellingShingle	Variations in risks from smoking between high-income, middle-income, and low-income countries: an analysis of data from 179 000 participants from 63 countries
title_short	Variations in risks from smoking between high-income, middle-income, and low-income countries: an analysis of data from 179 000 participants from 63 countries
title_full	Variations in risks from smoking between high-income, middle-income, and low-income countries: an analysis of data from 179 000 participants from 63 countries
title_fullStr	Variations in risks from smoking between high-income, middle-income, and low-income countries: an analysis of data from 179 000 participants from 63 countries
title_full_unstemmed	Variations in risks from smoking between high-income, middle-income, and low-income countries: an analysis of data from 179 000 participants from 63 countries
title_sort	Variations in risks from smoking between high-income, middle-income, and low-income countries: an analysis of data from 179 000 participants from 63 countries
dc.creator.fl_str_mv	Sathish, Thirunavukkarasu Teo, Koon K. Britz-McKibbin, Philip Gill, Biban Islam, Shofiqul Paré, Guillaume Rangarajan, Sumathy Duong, MyLinh Lanas, Fernando Lopez-Jaramillo, Patricio Mony, Prem K. Pinnaka, Lakshmi Kutty, Vellappillil Raman Orlandini, Andres Avezum, Alvaro Wielgosz, Andreas Poirier, Paul Alhabib, Khalid F. Temizhan, Ahmet Chifamba, Jephat Yeates, Karen Kruger, Iolanthé M. Khatib, Rasha Yusuf, Rita Rosengren, Annika Zatonska, Katarzyna Iqbal, Romaina Lui, Weida Lang, Xinyue Li, Sidong Hu, Bo Dans, Antonio L. Yusufali, Afzal Hussein Bahonar, Ahmad O’Donnell, Martin J. McKee, Martin Yusuf, Salim
dc.contributor.author.none.fl_str_mv	Sathish, Thirunavukkarasu Teo, Koon K. Britz-McKibbin, Philip Gill, Biban Islam, Shofiqul Paré, Guillaume Rangarajan, Sumathy Duong, MyLinh Lanas, Fernando Lopez-Jaramillo, Patricio Mony, Prem K. Pinnaka, Lakshmi Kutty, Vellappillil Raman Orlandini, Andres Avezum, Alvaro Wielgosz, Andreas Poirier, Paul Alhabib, Khalid F. Temizhan, Ahmet Chifamba, Jephat Yeates, Karen Kruger, Iolanthé M. Khatib, Rasha Yusuf, Rita Rosengren, Annika Zatonska, Katarzyna Iqbal, Romaina Lui, Weida Lang, Xinyue Li, Sidong Hu, Bo Dans, Antonio L. Yusufali, Afzal Hussein Bahonar, Ahmad O’Donnell, Martin J. McKee, Martin Yusuf, Salim
dc.contributor.researchgroup.spa.fl_str_mv	Masira
description	Digital
publishDate	2022
dc.date.accessioned.none.fl_str_mv	2022-08-19T16:23:42Z
dc.date.available.none.fl_str_mv	2022-08-19T16:23:42Z
dc.date.issued.none.fl_str_mv	2022-02-05
dc.type.spa.fl_str_mv	Artículo de revista
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dc.identifier.doi.none.fl_str_mv	https://doi.org/10.1016/S2214-109X(21)00509-X
dc.identifier.eissn.spa.fl_str_mv	2214-109X
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identifier_str_mv	2214-109X
dc.language.iso.spa.fl_str_mv	eng
language	eng
dc.relation.citationendpage.spa.fl_str_mv	226
dc.relation.citationissue.spa.fl_str_mv	2
dc.relation.citationstartpage.spa.fl_str_mv	216
dc.relation.citationvolume.spa.fl_str_mv	10
dc.relation.cites.none.fl_str_mv	Thirunavukkarasu Sathish, Koon K Teo, Philip Britz-McKibbin, Biban Gill, Shofiqul Islam, Guillaume Paré, Sumathy Rangarajan, MyLinh Duong, Fernando Lanas, Patricio Lopez-Jaramillo, Prem K Mony, Lakshmi Pinnaka, Vellappillil Raman Kutty, Andres Orlandini, Alvaro Avezum, Andreas Wielgosz, Paul Poirier, Khalid F Alhabib, Ahmet Temizhan, Jephat Chifamba, Karen Yeates, Iolanthé M Kruger, Rasha Khatib, Rita Yusuf, Annika Rosengren, Katarzyna Zatonska, Romaina Iqbal, Weida Lui, Xinyue Lang, Sidong Li, Bo Hu, Antonio L Dans, Afzal Hussein Yusufali, Ahmad Bahonar, Martin J O’Donnell, Martin McKee, Salim Yusuf, Variations in risks from smoking between high-income, middle-income, and low-income countries: an analysis of data from 179 000 participants from 63 countries, The Lancet Global Health, Volume 10, Issue 2, 2022, Pages e216-e226, ISSN 2214-109X, https://doi.org/10.1016/S2214-109X(21)00509-X.
dc.relation.indexed.spa.fl_str_mv	Scopus
dc.relation.ispartofjournal.spa.fl_str_mv	The Lancet Global Health
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dc.format.extent.spa.fl_str_mv	11 p
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dc.publisher.place.spa.fl_str_mv	Reino Unido
institution	Universidad de Santander
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spelling	Sathish, Thirunavukkarasu608ee5e8-4c13-4d65-abf1-f9cc024d292a-1Teo, Koon K.10190d66-4f2e-4a41-8a15-bc2d4ba9d1f8-1Britz-McKibbin, Philip641e492e-a7fb-40b0-8c0c-75e86dedd6f9-1Gill, Biban4df90553-fcd1-41ca-ab2d-d68c36861895-1Islam, Shofiqule02df6ce-a317-49c4-8ebd-72d82c266011-1Paré, Guillaume4945b341-3adf-49b8-831e-c83f9fae1ccc-1Rangarajan, Sumathy5466c363-e515-4bd2-8537-eb839320f385-1Duong, MyLinh197e561b-3afb-4dab-ae0f-5d12947f463b-1Lanas, Fernandod22b7fe4-9f1f-4028-a22b-be782ef03d3c-1Lopez-Jaramillo, Patricio9a71267b-dcb0-4d31-b37d-2d30be58d4d2-1Mony, Prem K.3298d501-1bf8-423c-ac81-6a707f162b8b-1Pinnaka, Lakshmi4fbf920a-4cb7-4e32-8526-444e16f29999-1Kutty, Vellappillil Raman735f870f-58e5-444a-a67c-47b6eb6e123b-1Orlandini, Andrescbafea09-3a82-4064-a22f-d34a0e7583d4-1Avezum, Alvaro8b920360-abb2-4ec8-b5ee-4e3f4e0b11eb-1Wielgosz, Andreasd9d25746-66c4-498e-a328-286412ab8782-1Poirier, Paul582804c9-12d8-40fc-b146-7e224c5d4312-1Alhabib, Khalid F.e4f1522a-5a72-4a8a-ba9e-96c458d47be6-1Temizhan, Ahmet626c731f-6484-4126-b211-2d9f81423b38-1Chifamba, Jephatf2496279-e934-40b8-8f61-0039a09f03f8-1Yeates, Karen79418492-ec06-4cc6-831a-4bf5b245b584-1Kruger, Iolanthé M.592ee486-f3e6-450b-80ba-a4245ac2ec2b-1Khatib, Rasha7beae0a6-cfd5-4272-bf8c-1b5896fed8e5-1Yusuf, Rita73629390-dae0-4d21-aca0-90da88bd2808-1Rosengren, Annika923779f9-3a92-4086-b3d9-9d78974926d9-1Zatonska, Katarzyna6d84170f-b69c-462b-9d93-3f363491580a-1Iqbal, Romaina015cbc16-dd01-4e26-adff-257bb8827f50-1Lui, Weida40254af2-c71a-4f14-baa3-11f57b22fbc5-1Lang, Xinyuef5cb5a50-3e79-4c6b-b92d-b71f7804e1cb-1Li, Sidongabe5371e-d7ea-478a-90b0-849d633a155d-1Hu, Bobec2821d-8ea9-4783-b64e-5fc592117452-1Dans, Antonio L.d12865ad-4f3c-47bb-85b5-3f7e16c5cc30-1Yusufali, Afzal Hussein2cc4355e-2de9-46f3-8dc7-955978c66f37-1Bahonar, Ahmad0f7df84f-12df-494e-9416-c33d4b5fedbe-1O’Donnell, Martin J.6fe522ea-5a33-4480-8561-96b0975c3172-1McKee, Martin5258b372-6b7d-4e6f-aaa6-0e81538245af-1Yusuf, Salim06a836b5-f5e3-41d9-a516-9cc46e5d7948-1Masira2022-08-19T16:23:42Z2022-08-19T16:23:42Z2022-02-05DigitalBackground Separate studies suggest that the risks from smoking might vary between high-income (HICs), middle-income (MICs), and low-income (LICs) countries, but this has not yet been systematically examined within a single study using standardised approaches. We examined the variations in risks from smoking across different country income groups and some of their potential reasons. Methods We analysed data from 134 909 participants from 21 countries followed up for a median of 11·3 years in the Prospective Urban Rural Epidemiology (PURE) cohort study; 9711 participants with myocardial infarction and 11 362 controls from 52 countries in the INTERHEART case-control study; and 11 580 participants with stroke and 11 331 controls from 32 countries in the INTERSTROKE case-control study. In PURE, all-cause mortality, major cardiovascular disease, cancers, respiratory diseases, and their composite were the primary outcomes for this analysis. Biochemical verification of urinary total nicotine equivalent was done in a substudy of 1000 participants in PURE. Findings In PURE, the adjusted hazard ratio (HR) for the composite outcome in current smokers (vs never smokers) was higher in HICs (HR 1·87, 95% CI 1·65–2·12) than in MICs (1·41, 1·34–1·49) and LICs (1·35, 1·25–1·46; interaction p<0·0001). Similar patterns were observed for each component of the composite outcome in PURE, myocardial infarction in INTERHEART, and stroke in INTERSTROKE. The median levels of tar, nicotine, and carbon monoxide displayed on the cigarette packs from PURE HICs were higher than those on the packs from MICs. In PURE, the proportion of never smokers reporting high second-hand smoke exposure (≥1 times/day) was 6·3% in HICs, 23·2% in MICs, and 14·0% in LICs. The adjusted geometric mean total nicotine equivalent was higher among current smokers in HICs (47·2 μM) than in MICs (31·1 μM) and LICs (25·2 μM; ANCOVA p<0·0001). By contrast, it was higher among never smokers in LICs (18·8 μM) and MICs (11·3 μM) than in HICs (5·0 μM; ANCOVA p=0·0001). Interpretation The variations in risks from smoking between country income groups are probably related to the higher exposure of tobacco-derived toxicants among smokers in HICs and higher rates of high second-hand smoke exposure among never smokers in MICs and LICs.Ciencias Médicas y de la Salud11 papplication/pdfhttps://doi.org/10.1016/S2214-109X(21)00509-X2214-109X2214-109Xhttps://repositorio.udes.edu.co/handle/001/7443engReino Unido226221610Thirunavukkarasu Sathish, Koon K Teo, Philip Britz-McKibbin, Biban Gill, Shofiqul Islam, Guillaume Paré, Sumathy Rangarajan, MyLinh Duong, Fernando Lanas, Patricio Lopez-Jaramillo, Prem K Mony, Lakshmi Pinnaka, Vellappillil Raman Kutty, Andres Orlandini, Alvaro Avezum, Andreas Wielgosz, Paul Poirier, Khalid F Alhabib, Ahmet Temizhan, Jephat Chifamba, Karen Yeates, Iolanthé M Kruger, Rasha Khatib, Rita Yusuf, Annika Rosengren, Katarzyna Zatonska, Romaina Iqbal, Weida Lui, Xinyue Lang, Sidong Li, Bo Hu, Antonio L Dans, Afzal Hussein Yusufali, Ahmad Bahonar, Martin J O’Donnell, Martin McKee, Salim Yusuf, Variations in risks from smoking between high-income, middle-income, and low-income countries: an analysis of data from 179 000 participants from 63 countries, The Lancet Global Health, Volume 10, Issue 2, 2022, Pages e216-e226, ISSN 2214-109X, https://doi.org/10.1016/S2214-109X(21)00509-X.ScopusThe Lancet Global Healthinfo:eu-repo/semantics/closedAccesshttp://purl.org/coar/access_right/c_14cbVariations in risks from smoking between high-income, middle-income, and low-income countries: an analysis of data from 179 000 participants from 63 countriesArtículo de revistahttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1Textinfo:eu-repo/semantics/articlehttp://purl.org/redcol/resource_type/ARTinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/version/c_970fb48d4fbd8a85Todas las AudienciasPublicationORIGINALVariations in risks from smoking between high-income, middle-income, and low-income countries. an analysis of data from 179 000 participants from 63 countries.pdfVariations in risks from smoking between high-income, middle-income, and low-income countries. an analysis of data from 179 000 participants from 63 countries.pdfapplication/pdf281365https://repositorio.udes.edu.co/bitstreams/c4344837-5e8b-4c67-a09f-dc430af1c269/download4ffe3b41ef24cb039e344c0f7d55c0bdMD51LICENSElicense.txtlicense.txttext/plain; charset=utf-859https://repositorio.udes.edu.co/bitstreams/1c96cd4e-a606-4128-abae-acb682f8a1d8/download38d94cf55aa1bf2dac1a736ac45c881cMD52TEXTVariations in risks from smoking between high-income, middle-income, and low-income countries. an analysis of data from 179 000 participants from 63 countries.pdf.txtVariations in risks from smoking between high-income, middle-income, and low-income countries. an analysis of data from 179 000 participants from 63 countries.pdf.txtExtracted texttext/plain5https://repositorio.udes.edu.co/bitstreams/387a1628-0fac-434d-ac42-726e1a3ab40f/download5dbe86c1111d64f45ba435df98fdc825MD53THUMBNAILVariations in risks from smoking between high-income, middle-income, and low-income countries. an analysis of data from 179 000 participants from 63 countries.pdf.jpgVariations in risks from smoking between high-income, middle-income, and low-income countries. an analysis of data from 179 000 participants from 63 countries.pdf.jpgGenerated Thumbnailimage/jpeg12889https://repositorio.udes.edu.co/bitstreams/4e1f808f-4a06-40ab-a008-942f0c0f752f/download6ba1ccbe82a73e0408e3159269d28447MD54001/7443oai:repositorio.udes.edu.co:001/74432023-10-09 16:58:17.521https://repositorio.udes.edu.coRepositorio Universidad de Santandersoporte@metabiblioteca.comTGljZW5jaWEgZGUgUHVibGljYWNpw7NuIFVERVMKRGlyZWN0cmljZXMgZGUgVVNPIHkgQUNDRVNPCgo=

Variations in risks from smoking between high-income, middle-income, and low-income countries: an analysis of data from 179 000 participants from 63 countries

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