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

Background 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 fr...

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Institution:Universidad EIA
Main Authors: 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, Masira
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Language:English
Published: Reino Unido 2022-02-05
Online Access:https://repositorio.udes.edu.co/handle/001/7443
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spelling 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
Masira
2022-08-19T16:23:42Z
2022-08-19T16:23:42Z
2022-02-05
Digital
Background 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 Salud
11 p
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https://doi.org/10.1016/S2214-109X(21)00509-X
2214-109X
2214-109X
https://repositorio.udes.edu.co/handle/001/7443
eng
Reino Unido
226
2
216
10
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.
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The Lancet Global Health
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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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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
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
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
Masira
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
author 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
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
Masira
author_facet 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
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
Masira
building Repositorio digital
publishDate 2022-02-05
language English
publisher Reino Unido
physical 11 p
format Artículo de revista
description Background 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.
issn 2214-109X
url https://repositorio.udes.edu.co/handle/001/7443
url_str_mv https://repositorio.udes.edu.co/handle/001/7443
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