Prevalence and Population Attributable Risk for Chronic Airflow Obstruction in a Large Multinational Study.
Peter BurneyJaymini PatelCosetta MinelliLouisa GnatiucAndre F S AmaralAli KocabaşHamid Hacene CherkaskiAmund GulsvikRune NielsenEric BatemanAnamika JithooKevin M MortimerTalant M SooronbaevHervé LawinChakib NejjariMohammed ElbiazeKarima El RhaziJin-Ping ZhengPixin RanTobias WelteDaniel ObasekiGregory ErhaborAsma ElsonyNada Bakri OsmanRana AhmedEwa Nizankowska-MogilnickaFilip MejzaDavid M ManninoCristina BárbaraEmiel F M WoutersLuisito F IdolorLi-Cher LohAbdul RashidSanjay JuvekarThorarinn GislasonMohamed Al GhobainMichael StudnickaImed HarrabiMeriam DenguezliParvaiz A KoulChristine JenkinsGuy MarksRain JõgiHasan HafiziChrister JansonWan C TanAlthea Aquart-StewartBertrand MbatchouAsaad NafeesKirthi GunasekeraTerry SeemungalMahesh Padukudru AnandPaul EnrightWilliam M VollmerMarta BlangiardoFadlalla G ElfadalyA Sonia BuistPublished in: American journal of respiratory and critical care medicine (2020)
Rationale: The Global Burden of Disease programme identified smoking, and ambient and household air pollution as the main drivers of death and disability from Chronic Obstructive Pulmonary Disease (COPD). Objective: To estimate the attributable risk of chronic airflow obstruction (CAO), a quantifiable characteristic of COPD, due to several risk factors. Methods: The Burden of Obstructive Lung Disease study is a cross-sectional study of adults, aged≥40, in a globally distributed sample of 41 urban and rural sites. Based on data from 28,459 participants, we estimated the prevalence of CAO, defined as a post-bronchodilator one-second forced expiratory volume to forced vital capacity ratio < lower limit of normal, and the relative risks associated with different risk factors. Local RR were estimated using a Bayesian hierarchical model borrowing information from across sites. From these RR and the prevalence of risk factors, we estimated local Population Attributable Risks (PAR). Measurements and Main Results: Mean prevalence of CAO was 11.2% in men and 8.6% in women. Mean PAR for smoking was 5.1% in men and 2.2% in women. The next most influential risk factors were poor education levels, working in a dusty job for ≥10 years, low body mass index (BMI), and a history of tuberculosis. The risk of CAO attributable to the different risk factors varied across sites. Conclusions: While smoking remains the most important risk factor for CAO, in some areas poor education, low BMI and passive smoking are of greater importance. Dusty occupations and tuberculosis are important risk factors at some sites.
Keyphrases
- risk factors
- chronic obstructive pulmonary disease
- body mass index
- air pollution
- lung function
- smoking cessation
- healthcare
- mycobacterium tuberculosis
- clinical trial
- multiple sclerosis
- randomized controlled trial
- emergency department
- type diabetes
- physical activity
- machine learning
- electronic health record
- south africa
- quality improvement
- hiv aids
- deep learning
- hepatitis c virus
- health information
- artificial intelligence
- insulin resistance
- social support