The population impact of smoking on chronic airflow obstruction in different global regions: a BOLD Study analysis
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Author(s)
Burney, Peter
Patel, Jaymini
Minelli, Cosetta
Buist, A Sonia
Type
Conference Paper
Abstract
Introduction: The proportion of chronic airflow obstruction (CAO) due to smoking (Population Attributable Fraction, PAF) is often estimated at around 50% and thought to be lower in poorer countries.
Aims: To estimate the impact of smoking on CAO in rich and poor countries.
Methods: A cross-sectional survey of adults >40 years old estimated the prevalence of CAO (FEV1/FVC < lower limit of normal, LLN) and the prevalence of smoking in 33 sites. Local estimates of relative risk adjusted for confounders, whose accuracy was improved using hierarchical Bayesian models, were combined with smoking rates to derive local estimates of PAF. Prevalence of CAO caused by smoking (Population excess risks, PER) were also estimated.
Results: Prevalence of ever-smokers ranged from 2% (Cotonou, Benin) to 68% (Cape Town, S. Africa). In a third of sites prevalence of CAO among non-smokers was <5% (the expected value defined for a healthy non-smoking population by the LLN). The relative risk from smoking was similar across sites (2.15; 95%CI: 1.9 to 2.4; I2=0%), and so PAF was strongly related to smoking prevalence, and ranged from <10% (Pune, India; Ile-Ife, Nigeria; Blantyre, Malawi) to >50% (Cape Town; London, UK). PER values ranged from <1% (Benin; Ile-Ife; Pune; Blantyre; Penang, Malaysia; Riyadh, Saudi Arabia) to over 10% (Lexington, USA; Maastricht, Netherlands; London).
Conclusions: Smoking is the most important cause of CAO in both rich and poor regions of the world. PAF values are mostly <50%, but this is not easy to interpret in areas with low CAO prevalence and where 5% of “normal” people are defined as “diseased” by the LLN. PER values are less dependent on reference criteria.
Aims: To estimate the impact of smoking on CAO in rich and poor countries.
Methods: A cross-sectional survey of adults >40 years old estimated the prevalence of CAO (FEV1/FVC < lower limit of normal, LLN) and the prevalence of smoking in 33 sites. Local estimates of relative risk adjusted for confounders, whose accuracy was improved using hierarchical Bayesian models, were combined with smoking rates to derive local estimates of PAF. Prevalence of CAO caused by smoking (Population excess risks, PER) were also estimated.
Results: Prevalence of ever-smokers ranged from 2% (Cotonou, Benin) to 68% (Cape Town, S. Africa). In a third of sites prevalence of CAO among non-smokers was <5% (the expected value defined for a healthy non-smoking population by the LLN). The relative risk from smoking was similar across sites (2.15; 95%CI: 1.9 to 2.4; I2=0%), and so PAF was strongly related to smoking prevalence, and ranged from <10% (Pune, India; Ile-Ife, Nigeria; Blantyre, Malawi) to >50% (Cape Town; London, UK). PER values ranged from <1% (Benin; Ile-Ife; Pune; Blantyre; Penang, Malaysia; Riyadh, Saudi Arabia) to over 10% (Lexington, USA; Maastricht, Netherlands; London).
Conclusions: Smoking is the most important cause of CAO in both rich and poor regions of the world. PAF values are mostly <50%, but this is not easy to interpret in areas with low CAO prevalence and where 5% of “normal” people are defined as “diseased” by the LLN. PER values are less dependent on reference criteria.
Date Issued
2017-12-06
Date Acceptance
2017-12-01
Citation
EUROPEAN RESPIRATORY JOURNAL, 2017, 50 (suppl 61)
ISSN
0903-1936
Publisher
EUROPEAN RESPIRATORY SOC JOURNALS LTD
Journal / Book Title
EUROPEAN RESPIRATORY JOURNAL
Volume
50
Issue
suppl 61
Copyright Statement
© 2017 the authors
Sponsor
Wellcome Trust
Grant Number
085790/Z/08/Z
Source
European-Respiratory-Society (ERS) International Congress
Subjects
Science & Technology
Life Sciences & Biomedicine
Respiratory System
Publication Status
Published
Start Date
2017-09-09
Finish Date
2017-09-13
Coverage Spatial
Milan, ITALY
Date Publish Online
2017-12-06