COPD: A prevalence estimation model

John W. Peabody, Brigitte Schau, Maite Lopez-Vidriero, Jørgen Vestbo, Sally Wade, Ahmar Iqbal

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

Resumé

Objectives: COPD is increasingly recognized as a leading cause of global morbidity and mortality. Prevalence estimates for COPD are generally unavailable or unreliable. Thus, a simple and valid model for estimating COPD prevalence would provide essential information for policymakers in addressing a major burden of worldwide illness. Methodology: We modelled the relationships among readily available demographic data (e.g. age, gender), smoking prevalence, and COPD prevalence based on a literature review. We also included risks of COPD from environmental pollution and associations with socioeconomic status. Results: The model specifies a minimum of eight input variables to predict COPD prevalence in a given population: population by age, gender, smoking prevalence, prevalence of COPD among smokers, proportion living in rural areas, country by level of development, and exposures to environmental pollution. Actual COPD prevalence data from large population-based studies in Spain, Norway, Poland and Nepal compared favourably with the model projections (P ≥ 0.10). Conclusion: The model is a simple tool for estimating the prevalence of COPD populations in a given region or country. Further studies are needed to prospectively validate the model and test the assumptions upon which it is based. © 2005 Blackwell Publishing Ltd.
OriginalsprogEngelsk
TidsskriftRespirology
Vol/bind10
Udgave nummer5
Sider (fra-til)594-602
Antal sider9
ISSN1323-7799
DOI
StatusUdgivet - nov. 2005
Udgivet eksterntJa

Fingeraftryk

Chronic Obstructive Pulmonary Disease
Environmental Pollution
Population
Smoking
Nepal
Cost of Illness
Poland
Norway

Emneord

  • Chronic bronchitis
  • COPD
  • Emphysema
  • Epidemiology
  • Predictive model
  • Prevalence

Citer dette

Peabody, J. W., Schau, B., Lopez-Vidriero, M., Vestbo, J., Wade, S., & Iqbal, A. (2005). COPD: A prevalence estimation model. Respirology, 10(5), 594-602. https://doi.org/10.1111/j.1440-1843.2005.00755.x
Peabody, John W. ; Schau, Brigitte ; Lopez-Vidriero, Maite ; Vestbo, Jørgen ; Wade, Sally ; Iqbal, Ahmar. / COPD: A prevalence estimation model. I: Respirology. 2005 ; Bind 10, Nr. 5. s. 594-602.
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abstract = "Objectives: COPD is increasingly recognized as a leading cause of global morbidity and mortality. Prevalence estimates for COPD are generally unavailable or unreliable. Thus, a simple and valid model for estimating COPD prevalence would provide essential information for policymakers in addressing a major burden of worldwide illness. Methodology: We modelled the relationships among readily available demographic data (e.g. age, gender), smoking prevalence, and COPD prevalence based on a literature review. We also included risks of COPD from environmental pollution and associations with socioeconomic status. Results: The model specifies a minimum of eight input variables to predict COPD prevalence in a given population: population by age, gender, smoking prevalence, prevalence of COPD among smokers, proportion living in rural areas, country by level of development, and exposures to environmental pollution. Actual COPD prevalence data from large population-based studies in Spain, Norway, Poland and Nepal compared favourably with the model projections (P ≥ 0.10). Conclusion: The model is a simple tool for estimating the prevalence of COPD populations in a given region or country. Further studies are needed to prospectively validate the model and test the assumptions upon which it is based. {\circledC} 2005 Blackwell Publishing Ltd.",
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Peabody, JW, Schau, B, Lopez-Vidriero, M, Vestbo, J, Wade, S & Iqbal, A 2005, 'COPD: A prevalence estimation model', Respirology, bind 10, nr. 5, s. 594-602. https://doi.org/10.1111/j.1440-1843.2005.00755.x

COPD: A prevalence estimation model. / Peabody, John W.; Schau, Brigitte; Lopez-Vidriero, Maite; Vestbo, Jørgen; Wade, Sally; Iqbal, Ahmar.

I: Respirology, Bind 10, Nr. 5, 11.2005, s. 594-602.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

TY - JOUR

T1 - COPD: A prevalence estimation model

AU - Peabody, John W.

AU - Schau, Brigitte

AU - Lopez-Vidriero, Maite

AU - Vestbo, Jørgen

AU - Wade, Sally

AU - Iqbal, Ahmar

PY - 2005/11

Y1 - 2005/11

N2 - Objectives: COPD is increasingly recognized as a leading cause of global morbidity and mortality. Prevalence estimates for COPD are generally unavailable or unreliable. Thus, a simple and valid model for estimating COPD prevalence would provide essential information for policymakers in addressing a major burden of worldwide illness. Methodology: We modelled the relationships among readily available demographic data (e.g. age, gender), smoking prevalence, and COPD prevalence based on a literature review. We also included risks of COPD from environmental pollution and associations with socioeconomic status. Results: The model specifies a minimum of eight input variables to predict COPD prevalence in a given population: population by age, gender, smoking prevalence, prevalence of COPD among smokers, proportion living in rural areas, country by level of development, and exposures to environmental pollution. Actual COPD prevalence data from large population-based studies in Spain, Norway, Poland and Nepal compared favourably with the model projections (P ≥ 0.10). Conclusion: The model is a simple tool for estimating the prevalence of COPD populations in a given region or country. Further studies are needed to prospectively validate the model and test the assumptions upon which it is based. © 2005 Blackwell Publishing Ltd.

AB - Objectives: COPD is increasingly recognized as a leading cause of global morbidity and mortality. Prevalence estimates for COPD are generally unavailable or unreliable. Thus, a simple and valid model for estimating COPD prevalence would provide essential information for policymakers in addressing a major burden of worldwide illness. Methodology: We modelled the relationships among readily available demographic data (e.g. age, gender), smoking prevalence, and COPD prevalence based on a literature review. We also included risks of COPD from environmental pollution and associations with socioeconomic status. Results: The model specifies a minimum of eight input variables to predict COPD prevalence in a given population: population by age, gender, smoking prevalence, prevalence of COPD among smokers, proportion living in rural areas, country by level of development, and exposures to environmental pollution. Actual COPD prevalence data from large population-based studies in Spain, Norway, Poland and Nepal compared favourably with the model projections (P ≥ 0.10). Conclusion: The model is a simple tool for estimating the prevalence of COPD populations in a given region or country. Further studies are needed to prospectively validate the model and test the assumptions upon which it is based. © 2005 Blackwell Publishing Ltd.

KW - Chronic bronchitis

KW - COPD

KW - Emphysema

KW - Epidemiology

KW - Predictive model

KW - Prevalence

U2 - 10.1111/j.1440-1843.2005.00755.x

DO - 10.1111/j.1440-1843.2005.00755.x

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JO - Respirology

JF - Respirology

SN - 1323-7799

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Peabody JW, Schau B, Lopez-Vidriero M, Vestbo J, Wade S, Iqbal A. COPD: A prevalence estimation model. Respirology. 2005 nov;10(5):594-602. https://doi.org/10.1111/j.1440-1843.2005.00755.x