Skip to main content

Main menu

  • Home
  • Current issue
  • ERJ Early View
  • Past issues
  • For authors
    • Instructions for authors
    • Submit a manuscript
    • Author FAQs
    • Open access
    • COVID-19 submission information
  • Alerts
  • Podcasts
  • Subscriptions
  • ERS Publications
    • European Respiratory Journal
    • ERJ Open Research
    • European Respiratory Review
    • Breathe
    • ERS Books
    • ERS publications home

User menu

  • Log in
  • Subscribe
  • Contact Us
  • My Cart

Search

  • Advanced search
  • ERS Publications
    • European Respiratory Journal
    • ERJ Open Research
    • European Respiratory Review
    • Breathe
    • ERS Books
    • ERS publications home

Login

European Respiratory Society

Advanced Search

  • Home
  • Current issue
  • ERJ Early View
  • Past issues
  • For authors
    • Instructions for authors
    • Submit a manuscript
    • Author FAQs
    • Open access
    • COVID-19 submission information
  • Alerts
  • Podcasts
  • Subscriptions

The association between chronic airflow obstruction and poverty in 12 sites of the multinational BOLD study

John Townend, Cosetta Minelli, Kevin Mortimer, Daniel O. Obaseki, Mohammed Al Ghobain, Hamid Cherkaski, Myriam Denguezli, Kirthi Gunesekera, Hasan Hafizi, Parvaiz A. Koul, Li C. Loh, Chakib Nejjari, Jaymini Patel, Talant Sooronbayev, Sonia A. Buist, Peter G.J. Burney
European Respiratory Journal 2017 49: 1601880; DOI: 10.1183/13993003.01880-2016
John Townend
1National Heart and Lung Institute, Imperial College, London, UK
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Cosetta Minelli
1National Heart and Lung Institute, Imperial College, London, UK
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Kevin Mortimer
2Liverpool School of Tropical Medicine, Liverpool, UK
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Daniel O. Obaseki
3Dept of Medicine, Obafemi Awolowo University, Ile-Ife, Nigeria
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Mohammed Al Ghobain
4Dept of Medicine, College of Medicine, King Saud bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Hamid Cherkaski
5Dept of Pneumology, Faculty of Medicine Annaba, University Badji Mokhtar of Annaba, Annaba, Algeria
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Myriam Denguezli
6Faculté de Médecine Dentaire de Monastir, Université de Monastir, Département des Sciences Fondamentales et Mixtes, Laboratoire de Physiologie et des Explorations Fonctionnelles, Faculté de Médecine de Sousse, Université de Sousse, Sousse, Tunisia
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Kirthi Gunesekera
7Central Chest Clinic, Colombo, Sri Lanka
8The National Hospital of Sri Lanka, E W Perera Mawatha, Colombo, Sri Lanka
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Hasan Hafizi
9Third Pulmonology Service, Faculty of Medicine, Tirana University Hospital “Shefqet Ndroqi”, Tirana, Albania
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Parvaiz A. Koul
10Sher-i-Kashmir Institute of Medical Sciences, Srinagar, India
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Li C. Loh
11Dept of Medicine, Penang Medical College, Penang, Malaysia
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Chakib Nejjari
12Dept of Epidemiology and Public Health, Faculty of Medicine, University Sidi Mohammed Ben Abdellah, Fez, Morocco
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Jaymini Patel
1National Heart and Lung Institute, Imperial College, London, UK
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Talant Sooronbayev
13Pulmonary Division, National Center of Cardiology and Internal Medicine, Bishkek, Kyrgyzstan
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Sonia A. Buist
14Pulmonary & Critical Care Medicine, Oregon Health & Science University, Portland, OR, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Peter G.J. Burney
1National Heart and Lung Institute, Imperial College, London, UK
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • For correspondence: p.burney@imperial.ac.uk
  • Article
  • Figures & Data
  • Info & Metrics
  • PDF
Loading

Figures

  • Tables
  • Supplementary Materials
  • FIGURE 1
    • Download figure
    • Open in new tab
    • Download powerpoint
    FIGURE 1

    Forest plot for the effect of wealth score on forced expiratory volume in 1 s (FEV1)/forced vital capacity (FVC), adjusted for age, sex and all other confounders (body mass index, education, smoking, passive smoking, exposure to a dusty job, family history of breathing problems, childhood hospitalisation for breathing problems and previous diagnosis of tuberculosis). The coefficient gives the mean change in FEV1/FVC (%) for a one-unit increase in the wealth score in each of the sites.

  • FIGURE 2
    • Download figure
    • Open in new tab
    • Download powerpoint
    FIGURE 2

    Forest plot showing the association between the odds of having forced expiratory volume in 1 s/forced vital capacity below the lower limit of normal (based on The National Health and Nutrition Examination Survey (NHANES) equations) and wealth score. The odds ratios show the effect of a one-unit increase in the wealth score on the odds of obstruction in each of the sites, adjusted for body mass index, education, smoking, passive smoking, working in a dusty job, family history of chronic obstructive pulmonary disease, hospitalisation as a child for breathing problems and tuberculosis.

  • FIGURE 3
    • Download figure
    • Open in new tab
    • Download powerpoint
    FIGURE 3

    Association between site-level means of wealth score and a) mean forced expiratory volume in 1 s (FEV1)/forced vital capacity (FVC) (%), b) proportion of subjects with obstruction (FEV1/FVC<lower limit of normal). The dashed lines show the linear regression lines of best fit weighted to allow for the number of subjects included in each site.

Tables

  • Figures
  • Supplementary Materials
  • TABLE 1

    Characteristics of the study population in the 12 centres#

    Sousse, TunisiaKashmir, IndiaIfe, NigeriaFes, MoroccoTirana, AlbaniaAnnaba, AlgeriaPenang, MalaysiaRiyadh, S. ArabiaBlantyre, MalawiSri LankaNaryn, KyrgyzstanChui, Kyrgyzstan
    Subjects n¶7981077168397411889381200843758140811601876
    Participants n (%)+660 (83)738 (69)864 (51)760 (78)928 (78)862 (92)649 (54)679 (81)402 (53)1035 (74)820 (71)858 (46)
    Males515254524950495254484842
    Age years52±952±1053±1155±1256±1254±1155±1051±851±953±952±1053±10
    BMI ≥25762344667369558840456265
    Height cm164±9160±9165±8162±9164±9164±10159±8162±9163±8157±9162±9163±9
    Smoking pack years§16±25133±2071±68±1912±1911±196±169±242±263±96±1210±18
    Passive smokingƒ3564212381126638311
    Dusty job##5013844642832172636634
    Tuberculosis¶¶001112025111
    Family history of COPD++62010865320327
    Childhood hospitalisation§§301112311317
    Post primary educationƒƒ501859288056656546739497
    FEV1/FVC %80±777±1079±879±878±1078±781±783±679±880±978±776±9
    FEV1/FVC<LLN51679973378813
    Wealth score###9±14±25±28±29±28±19±110±04±36±25±16±2
    GNI per capita US$ PPP9680475049306160995012 86022 53053 760750948031003100
    Asthma ever8217684315623
    Open fire >20 years¶¶¶2310027229118261751448855
    Smoker+++455314303739252617243138

    Data are presented as mean±sd or %, unless otherwise stated. BMI: body mass index; COPD: chronic obstructive pulmonary disease; FEV1: forced expiratory volume in 1 s; FVC: forced vital capacity; LLN: lower limit of normal; GNI: gross national income; PPP: purchasing power parity. #: individual responses have been weighted according to the probability of selection to provide population estimates of means and percentages for each of the study areas; ¶: individuals selected for possible inclusion in the Burden of Obstructive Lung Disease (BOLD) study using a random sampling process; +: individuals included in the study (i.e. those who agreed to take part in the BOLD study and provided useable data from both the questionnaire and spirometry tests); §: 1 pack-year equals an average of 20 cigarettes per day for 1 year or the equivalent amount of other types of tobacco smoking; ƒ: somebody else in the household smoked during the past 2 weeks; ##: the respondent was employed in a dusty job for at least 1 year; ¶¶: ever diagnosed with tuberculosis; ++: a close sibling or parent had been diagnosed as having emphysema, chronic bronchitis or COPD by a health professional; §§: hospitalised for breathing problems before the age of 10 years; ƒƒ: highest level of education completed was above primary school; ###: calculated from ownership of a range of assets (see methods and [12]); ¶¶¶: exposure to open fires for cooking and/or heating for more than 20 years; +++: current or ex-smoker.

    • TABLE 2

      Associations between forced expiratory volume in 1 s (FEV1)/forced vital capacity (FVC) % and wealth score, adjusted for age and sex only and then for multiple potential confounding factors

      Adjusted for age and sex onlyAdjusted for age, sex and other potential confounders
      Coefficient95% CIp-valueCoefficient95% CIp-value
      Wealth Score0.360.22–0.49<0.0010.230.11–0.34<0.001
      Females2.431.63–3.24<0.0010.760.01–1.500.046
      Age years−0.27−0.31– −0.23<0.001−0.25−0.29– −0.22<0.001
      BMI 
       <18.5−0.85−2.64–0.940.351
       ≥18.5–<250
       ≥25–≤300.850.50–1.19<0.001
       >301.230.68–1.77<0.001
      Education level completed−0.10−0.32–0.120.383
      Smoking pack-years−0.06−0.09– −0.04<0.001
      Passive smoking−0.31−1.14–0.530.474
      Worked in a dusty job years−0.04−0.06– −0.010.003
      Family history of COPD−0.75−1.87–0.370.191
      Hospitalised as a child−2.44−5.18–0.290.080
      Tuberculosis−2.30−4.40– −0.190.032

      Coefficients indicate the effect of an individual having the stated characteristic (versus not having that characteristic) on FEV1/FVC % or for a one-unit increase in that variable, adjusted for all other variables in that column (e.g. individuals with a history of tuberculosis had an FEV1/FVC 2.3% lower on average than comparable individuals without a history of tuberculosis. Bold denotes statistical significance. COPD: chronic obstructive pulmonary disease.

      Supplementary Materials

      • Figures
      • Tables
      • Supplementary Material

        Please note: supplementary material is not edited by the Editorial Office, and is uploaded as it has been supplied by the author.

        Table S1. Sensitivity analysis ERJ-01880-2016_Table_S1

      • Supplementary Material

        P. Burney ERJ-01880-2016_Burney

        K. Mortimer ERJ-01880-2016_Mortimer

      PreviousNext
      Back to top
      View this article with LENS
      Vol 49 Issue 6 Table of Contents
      European Respiratory Journal: 49 (6)
      • Table of Contents
      • Index by author
      Email

      Thank you for your interest in spreading the word on European Respiratory Society .

      NOTE: We only request your email address so that the person you are recommending the page to knows that you wanted them to see it, and that it is not junk mail. We do not capture any email address.

      Enter multiple addresses on separate lines or separate them with commas.
      The association between chronic airflow obstruction and poverty in 12 sites of the multinational BOLD study
      (Your Name) has sent you a message from European Respiratory Society
      (Your Name) thought you would like to see the European Respiratory Society web site.
      CAPTCHA
      This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
      Print
      Alerts
      Sign In to Email Alerts with your Email Address
      Citation Tools
      The association between chronic airflow obstruction and poverty in 12 sites of the multinational BOLD study
      John Townend, Cosetta Minelli, Kevin Mortimer, Daniel O. Obaseki, Mohammed Al Ghobain, Hamid Cherkaski, Myriam Denguezli, Kirthi Gunesekera, Hasan Hafizi, Parvaiz A. Koul, Li C. Loh, Chakib Nejjari, Jaymini Patel, Talant Sooronbayev, Sonia A. Buist, Peter G.J. Burney
      European Respiratory Journal Jun 2017, 49 (6) 1601880; DOI: 10.1183/13993003.01880-2016

      Citation Manager Formats

      • BibTeX
      • Bookends
      • EasyBib
      • EndNote (tagged)
      • EndNote 8 (xml)
      • Medlars
      • Mendeley
      • Papers
      • RefWorks Tagged
      • Ref Manager
      • RIS
      • Zotero

      Share
      The association between chronic airflow obstruction and poverty in 12 sites of the multinational BOLD study
      John Townend, Cosetta Minelli, Kevin Mortimer, Daniel O. Obaseki, Mohammed Al Ghobain, Hamid Cherkaski, Myriam Denguezli, Kirthi Gunesekera, Hasan Hafizi, Parvaiz A. Koul, Li C. Loh, Chakib Nejjari, Jaymini Patel, Talant Sooronbayev, Sonia A. Buist, Peter G.J. Burney
      European Respiratory Journal Jun 2017, 49 (6) 1601880; DOI: 10.1183/13993003.01880-2016
      del.icio.us logo Digg logo Reddit logo Technorati logo Twitter logo CiteULike logo Connotea logo Facebook logo Google logo Mendeley logo
      Full Text (PDF)

      Jump To

      • Article
        • Abstract
        • Abstract
        • Introduction
        • Methods
        • Results
        • Discussion
        • Supplementary material
        • Disclosures
        • Acknowledgements
        • Footnotes
        • References
      • Figures & Data
      • Info & Metrics
      • PDF

      Subjects

      • Epidemiology, occupational and environmental lung disease
      • COPD and smoking
      • Tweet Widget
      • Facebook Like
      • Google Plus One

      More in this TOC Section

      • Control of S. aureus infection despite tertiary lymphoid structure disorganisation
      • Mitochondrial antiviral signalling protein in pulmonary fibrosis development
      • DNA methylation at birth is associated with lung function development
      Show more Original Articles

      Related Articles

      Navigate

      • Home
      • Current issue
      • Archive

      About the ERJ

      • Journal information
      • Editorial board
      • Reviewers
      • CME
      • Press
      • Permissions and reprints
      • Advertising

      The European Respiratory Society

      • Society home
      • myERS
      • Privacy policy
      • Accessibility

      ERS publications

      • European Respiratory Journal
      • ERJ Open Research
      • European Respiratory Review
      • Breathe
      • ERS books online
      • ERS Bookshop

      Help

      • Feedback

      For authors

      • Instructions for authors
      • Submit a manuscript
      • ERS author centre

      For readers

      • Alerts
      • Subjects
      • Podcasts
      • RSS

      Subscriptions

      • Accessing the ERS publications

      Contact us

      European Respiratory Society
      442 Glossop Road
      Sheffield S10 2PX
      United Kingdom
      Tel: +44 114 2672860
      Email: journals@ersnet.org

      ISSN

      Print ISSN:  0903-1936
      Online ISSN: 1399-3003

      Copyright © 2021 by the European Respiratory Society