Abstract
Chronic obstructive pulmonary disease (COPD) is associated with a high disease burden and is one of the leading causes of death worldwide. Smoking is the key modifiable risk factor for COPD in Germany. GEDA 2014/2015-EHIS surveyed the 12-month prevalence of known COPD using the European indicator on self-reported chronic bronchitis, chronic obstructive pulmonary disease, emphysema. Among adults aged 18 years or older with complete information on the indicator (n=22,702), the 12-month prevalence of known COPD is 5.8% (5.8% for women and 5.7% for men). In both genders, the prevalence increases strongly with age. Overall, the presence of COPD was more often reported by women and men with a low educational level than by those with a higher one. In a comparison of federal states, the 12-month prevalence of known COPD varies between 3.6% and 7.5% for women and 4.3% and 11.2% for men.
Keywords: CHRONIC OBSTRUCTIVE PULMONARY DISEASE (COPD), PREVALENCE, ADULTS, HEALTH MONITORING, GERMANY
Introduction
Chronic obstructive pulmonary disease (COPD) is associated with a high disease burden and is one of the leading causes of death in Germany and globally [1-3]. COPD is a prevalent chronic disease of middle and older age [1, 4-7]. It is marked by chronic inflammation and progressive obstruction (narrowing) of the airways and destruction of lung tissue (parenchyma) [1, 8]. Chronic cough and phlegm production (chronic bronchitis) as well as a permanent over-inflation of the air sacks (emphysema) are common among COPD patients and often occur together [1, 8]. Moreover, shortness of breath under physical strain is a typical symptom. At more progressed stages of the disease, patients may also suffer from shortness of breath even at rest [1, 8].
Smoking is the most important modifiable risk factor for COPD in Germany [1, 7-9]. The risk of developing COPD is thereby related to the total amount of cigarette smoking over time (pack years) [7, 9]. Moreover, specific occupational exposures (e.g., coal dust) are important COPD risk factors [1, 7, 9, 10]. COPD is therefore considered a potentially preventable disease [1, 8]. However, impaired growth and functional development of the lungs also affect a person’s COPD risk [1, 9, 11]. Besides genetic factors and prenatal influences (e.g., maternal smoking during pregnancy), repeated respiratory infections in early childhood, exposure to airborne pollutants, or childhood asthma potentially contribute to developing COPD in later life [1, 7, 9, 12, 13].
GEDA 2014/2015-EHIS.
Data holder: Robert Koch Institute
Aims: To provide reliable information about the population’s health status, health-related behaviour and health care in Germany, with the possibility of a European comparison
Method: Questionnaires completed on paper or online
Population: People aged 18 years and above with permanent residency in Germany
Sampling: Registry office sample; randomly selected individuals from 301 communities in Germany were invited to participate
Participants: 24,016 people (13,144 women; 10,872 men)
Response rate: 26.9%
Study period: November 2014 - July 2015
Data protection: This study was undertaken in strict accordance with the data protection regulations set out in the German Federal Data Protection Act and was approved by the German Federal Commissioner for Data Protection and Freedom of Information. Participation in the study was voluntary. The participants were fully informed about the study’s aims and content, and about data protection. All participants provided written informed consent.
More information in German is available at
Adults with COPD frequently suffer from other chronic conditions such as cardiovascular diseases [1, 7, 9]. These concurrent conditions considerably impact the quality of life of COPD patients and contribute to the high COPD-related costs of illness [14-17]. COPD-related costs of illness are also significantly determined by the severity of the disease [17, 18]. A recent study of COPD patients in Germany revealed that in comparison to a control group from the region of Augsburg, excess (direct) costs resulting from healthcare utilization ranged between 2,595 and 8,924 EUR per patient in 2012 [17]. The indirect costs (e.g., due to work absence) were significantly higher ranging from 8,621 to 27,658 EUR [17].
Indicator
GEDA 2014/2015-EHIS surveyed the prevalence of known COPD during the past 12 months based on an instrument from the indicator set of the European health monitoring by using self-administered paper-based or online questionnaires. Respondents were asked, 'During the past 12 months, have you had any of the following diseases or conditions?' This question was followed by a list of conditions that also included 'chronic bronchitis, chronic obstructive pulmonary disease, emphysema'. Out of a total of 24,016 respondents aged 18 years or older (13,144 women, 10,872 men), 1,314 respondents (696 women and 618 men) with missing information on the indicator were excluded from the analysis. COPD prevalence was calculated using a weighting factor that corrects for deviations within the sample from the German population structure (as of 31 December 2014) with regard to gender, age, district type and education. The district type reflects the degree of urbanisation and corresponds to the regional distribution in Germany. The International Standard Classification of Education (ISCED) was used to classify the responses provided on educational level [19]. Lange et al. [20] set out the details of the methodology applied in GEDA 2014/15-EHIS including a description of the method used to calculate the weighting factor and an assessment of the response rate. Background information on GEDA 2014/15-EHIS are also provided in the article German Health Update: New data for Germany and Europe, which was published in Issue 1/2017 of the Journal of Health Monitoring.
Results and discussion
In GEDA 2014/2015-EHIS, 5.8% of adults aged 18 years or older reported the presence of COPD during the past 12 months. The 12-month prevalence of known COPD for women (5.8%) is comparable to the prevalence for men (5.7%). In both genders, the 12-month prevalence increases strongly with age (Table 1). Overall, the presence of COPD was more often reported by women and men with a low educational level than by those with a medium or high one (8.1% vs. 5.7% and 4.0%). Stratified by age and sex, these differences with regard to educational level are particularly evident for women under 65 years of age and for men aged 45 to 64 years (Table 1). The prevalence of known COPD varies considerably between federal states, ranging from 3.6% in Saxony-Anhalt to 7.5% in Bremen for women and from 4.3% in Hesse to 11.2% in Saarland for men (Figure 1).
Table 1.
12-month prevalence of known COPD according to gender, age and educational level (n=12,448 women; n=10,254 men)
Source: GEDA 2014/2015-EHIS
Women | % | (95% CI) | Men | % | (95% CI) |
---|---|---|---|---|---|
Women total | 5.8 | (5.2-6.4) | Men total | 5.7 | (5.2-6.3) |
18-29 Years | 2.4 | (1.6-3.5) | 18-29 Years | 1.3 | (0.8-2.3) |
Low education | 4.5 | (2.5-8.2) | Low education | 2.0 | (0.7-5.3) |
Medium education | 2.0 | (1.2-3.3) | Medium education | 1.2 | (0.6-2.4) |
High education | 0.7 | (0.3-1.9) | High education | 0.7 | (0.3-1.8) |
30-44 Years | 3.4 | (2.7-4.4) | 30-44 Years | 2.0 | (1.4-2.9) |
Low education | 7.4 | (4.5-11.9) | Low education | 2.8 | (1.2-6.2) |
Medium education | 2.9 | (2.0-4.1) | Medium education | 2.5 | (1.7-3.9) |
High education | 2.5 | (1.5-4.0) | High education | 0.9 | (0.4-1.9) |
45-64 Years | 5.1 | (4.3-5.9) | 45-64 Years | 6.3 | (5.4-7.4) |
Low education | 7.2 | (5.2-9.8) | Low education | 12.1 | (8.8-16.3) |
Medium education | 5.1 | (4.2-6.2) | Medium education | 7.0 | (5.8-8.5) |
High education | 3.3 | (2.4-4.5) | High education | 3.1 | (2.4-4.1) |
≥ 65 Years | 11.0 | (9.5-12.7) | ≥ 65 Years | 12.5 | (10.9-14.3) |
Low education | 10.8 | (8.6-13.5) | Low education | 15.5 | (11.7-20.1) |
Medium education | 11.2 | (9.2-13.6) | Medium education | 12.2 | (10.0-14.8) |
High education | 9.4 | (6.1-14.0) | High education | 11.6 | (9.4-14.3) |
Total (women and men) | 5.8 | (5.4-6.2) | Total (women and men) | 5.8 | (5.4-6.2) |
CI=Confidence interval
* n=50 additional missing values (25 women and men) when stratifying by educational level
Figure 1.
12-month prevalence of known COPD according to gender and federal state (n=12,448 women; n=10,254 men)
Source: GEDA 2014/2015-EHIS
When comparing these results on the prevalence of known COPD with the results from previous epidemiological studies, considerable methodological differences need to be taken into account. For example, a comparison with the results from the interview survey of adults aged 18 years or older conducted by the Robert Koch Institute in 2012 (GEDA 2012) is not possible because both the type of the interview (written/online questionnaire now, telephone interview then) and the indicator differ [21]. GEDA 2012 surveyed the 12-month prevalence of physician-diagnosed chronic bronchitis defined as coughing with phlegm for at least 3 months per year [21]. Prevalence estimates for this indicator were 6.0% for women and 4.0% for men [21].
Besides interview data, COPD prevalence estimates are mainly based on data obtained from a pulmonary function test (spirometry) [4, 6, 18, 22, 23]. However, there is poor agreement between estimates of spirometrically defined and self-reported COPD prevalence [4, 6, 22, 24, 25]. For example in a population-based cohort study among adults 41 to 90 years of age from the region of Augsburg (KORA), less than 40% of participants with spirometrically defined COPD reported to have physician-diagnosed COPD [22]. This was explained by a high number of undiagnosed COPD cases [22], a fact that results in an underestimation of the actual COPD prevalence when using self-reported information [1, 9, 25, 26].
In line with other studies, GEDA 2014/2015-EHIS survey data also demonstrate that COPD is an age-associated disease [1, 4-7]. A comparison with prevalence estimates of spirometrically defined COPD must, however, take into account that lung function generally decreases with age and also shows considerable variation in the older population [27-29]. In particular, age-specific estimates on COPD prevalence based on spirometry data differ depending on the chosen reference criteria and method of examination, e.g. with or without the use of medications to dilate airways [1, 9, 22, 27-29]. Besides, the available prevalence data on spirometrically defined COPD is based alone on the detection of an airflow obstruction [1, 4, 6]. A clinical diagnosis of COPD, however, also requires the consideration of risk factors, symptoms, the corresponding individual clinical history and, where necessary, further clinical examinations [1, 9, 27, 29].
Results from international surveys including data from Germany reveal a higher prevalence of spirometrically defined COPD among men than among women [5, 7, 18, 24, 30, 31]. For example, the estimated prevalence of spirometrically defined COPD among adults 40 year of age or older was 9.3% for women and 18.1% for men based on data collected in the German study centre Hanover of the international Burden of Obstructive Lung Disease (BOLD) study in 2006 [24]. This difference between women and men was observed independent of disease severity [5]. Higher prevalence among men, however, was only seen among those aged 50 years or older and was considered to be potentially related to the gender-specific differences in smoking habits across age groups [24]. In agreement with the findings presented here, results from this previous survey demonstrated that there were no gender differences regarding the prevalence of a known COPD: 7.7% of women and 7.6% of men reported to have been diagnosed with COPD by a physician [24]. Further analyses on the basis of BOLD and other survey data indicated underlying differences in COPD awareness between women and men, as male gender was associated with an undiagnosed COPD [25]. In the GEDA 2014/2015-EHIS survey conducted across Europe, data collection on the prevalence of known COPD was based on the composite indicator compelling information on chronic bronchitis, chronic obstructive pulmonary disease, emphysema in line with other cross-country surveys [4, 6, 23]. Thereby, however, adults with chronic cough and phlegm production might have been included who have otherwise normal spirometry results and will not develop COPD in later life [1, 32-34]. This is particularly relevant with regard to the prevalence of known COPD assessed among young adults in GEDA 2014/2015-EHIS [31]. Moreover, current findings on the prevalence of known COPD are based on the self-assessment of respondents and not on self-reported medical diagnoses [4, 6, 22, 24]. This increases the likelihood of misclassifying patients with other diseases that are marked by similar symptoms, in particular asthma [31].
In accordance with other data on spirometrically defined COPD, GEDA 2014/2015-EHIS results indicate a higher prevalence of known COPD among adults with a low educational level compared to those with a higher one [7, 9, 35, 36]. In line with these findings, comparable differences in prevalence had previously been reported with regard to different socio-economic criteria [7, 9, 35, 36]. GEDA 2014/2015-EHIS revealed considerable regional differences in the prevalence of known COPD not only between federal states but also between EU countries. Germany thereby ranked in the group of countries presenting the highest prevalence [37] (see issue 1/2017 Journal of Health Monitoring). The interpretation of social and regional differences in known COPD prevalence needs to consider differences in the distribution of risk factors such as smoking (see also the Fact sheet Smoking among adults in Germany in issue 2/2017 Journal of Health Monitoring) as well as in COPD awareness and care provision [36, 38-40]. Periodically repeated collection of nationally representative population-based data on major modifiable risk factors as well as on lung function, diagnosis, symptoms, and mortality of COPD is essential in order to identify successes and remaining or new challenges of COPD prevention and care.
Key statements
The 12-month prevalence of known COPD is 5.8% for women and 5.7% for men.
In both genders, the 12-month prevalence of known COPD increases strongly with age.
The presence of COPD was more often reported by women and men with a low educational level than by those with a higher one.
Funding Statement
The GEDA study was funded by the Robert Koch Institute and the German Federal Ministry of Health.
Footnotes
Conflicts of interest
The authors declared no conflicts of interest.
Disclaimer
Note: External contributions do not necessarily reflect the opinions of the Robert Koch Institute
References
- 1.Global Initiative for Chronic Obstructive Lung Disease (2017) Global Strategy for the Diagnosis, Management and Prevention of Chronic Obstructive Pulmonary Disease. http://goldcopd.org/gold-2017-global-strategy-diagnosis-management-prevention-copd/ (As at 27.07.2017)
- 2.Plass D, Vos T, Hornberg C, et al. (2014) Entwicklung der Krankheitslast in Deutschland - Ergebnisse, Potenziale und Grenzen der Global Burden of Disease-Studie. Dtsch Arztebl Int 111(38):629-638 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Global Burden of Disease 2015 Disease and Injury Incidence and Prevalence Collaborators. (2016) Global, regional, and national incidence, prevalence, and years lived with disability for 310 diseases and injuries, 1990-2015: a systematic analysis for the Global Burden of Disease Study 2015. Lancet 388(10053):1545-1602 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Atsou K, Chouaid C, Hejblum G. (2011) Variability of the chronic obstructive pulmonary disease key epidemiological data in Europe: systematic review. BMC Med 9:7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Buist AS, McBurnie MA, Vollmer WM, et al. (2007) International variation in the prevalence of COPD (the BOLD Study): a population-based prevalence study. Lancet 370(9589):741-750 [DOI] [PubMed] [Google Scholar]
- 6.Halbert RJ, Natoli JL, Gano A, et al. (2006) Global burden of COPD: systematic review and meta-analysis. Eur Respir J 28(3):523-532 [DOI] [PubMed] [Google Scholar]
- 7.European Respiratory Society (2013) Major respiratory diseases - chronic obstructive pulmonary disease. In: Gibson J, Loddenkemper R, Sibille Y, et al. (eds) The European Lung White Book - Respiratory Health and Disease in Europe. European Respiratory Society, Sheffield [Google Scholar]
- 8.Gillissen G, Welte T. (eds) (2014) Weißbuch Lunge 2014 – Herausforderungen, Zukunftsperspektiven, Forschungsansätze – Zur Lage und Zukunft der Pneumologie in Deutschland. Frisch Texte Verlag, Herne [Google Scholar]
- 9.Lundbäck B, Bakke P, Ingebrigtsen T, et al. (2014) Chronic obstructive pulmonary disease. In: Annesi-Maesano I, Lundbäck B, Viegi G, et al. (eds) Respiratory epidemiology. European Respiratory Society, Sheffield [Google Scholar]
- 10.Baur X. (2011) Obstruktive Atemwegserkrankungen als Berufskrankheiten. Pneumologie 65(11):654-661 [DOI] [PubMed] [Google Scholar]
- 11.Lange P, Celli B, Agusti A, et al. (2015) Lung-Function Trajectories Leading to Chronic Obstructive Pulmonary Disease. N Engl J Med 373(2):111-122 [DOI] [PubMed] [Google Scholar]
- 12.Gauderman WJ, Urman R, Avol E, et al. (2015) Association of improved air quality with lung development in children. N Engl J Med 372(10):905-913 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Martinez FD. (2016) Early-Life Origins of Chronic Obstructive Pulmonary Disease. N Engl J Med 375(9):871-878 [DOI] [PubMed] [Google Scholar]
- 14.Janson C, Marks G, Buist S, et al. (2013) The impact of COPD on health status: findings from the BOLD study. Eur Respir J 42(6):1472-1483 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Kirsch F, Teuner CM, Menn P, et al. (2013) Krankheitskosten für Asthma und COPD bei Erwachsenen in der Bundesrepublik Deutschland. Gesundheitswesen 75(7):413-423 [DOI] [PubMed] [Google Scholar]
- 16.Wacker ME, Jorres RA, Karch A, et al. (2016) Relative impact of COPD and comorbidities on generic health-related quality of life: a pooled analysis of the COSYCONET patient cohort and control subjects from the KORA and SHIP studies. Respir Res 17(1):81. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Wacker ME, Jorres RA, Schulz H, et al. (2016) Direct and indirect costs of COPD and its comorbidities: Results from the German COSYCONET study. Respir Med 111:39-46 [DOI] [PubMed] [Google Scholar]
- 18.Aumann I, Prenzler A. (2013) Epidemiologie und Kosten der COPD in Deutschland - Eine Literaturrecherche zu Prävalenz, Inzidenz und Krankheitskosten. Klinikarzt 42(4):168-172 [Google Scholar]
- 19.Eurostat (2016) International standard classification of education (ISCED). http://ec.europa.eu/eurostat/statistics-explained/index.php/Glossary:International_standard_classification_of_education_%28ISCED%29 (As at 01.03.2017)
- 20.Lange C, Finger JD, Allen J, et al. (in press) Implementation of the European Health Interview Survey (EHIS) in Germany. Further development of the German Health Update (GEDA). Archives of Public Health [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Robert Koch-Institut (2014) Daten und Fakten: Ergebnisse der Studie “Gesundheit in Deutschland aktuell 2012”. Beiträge zur Gesundheitsberichterstattung des Bundes. RKI, Berlin: http://edoc.rki.de/documents/rki_fv/recJuHnzacx8A/PDF/28GsWuNtFjVqY.pdf (As at 26.07.2017) [Google Scholar]
- 22.Karrasch S, Bruske I, Smith MP, et al. (2016) What is the impact of different spirometric criteria on the prevalence of spirometrically defined COPD and its comorbidities? Results from the population-based KORA study. Int J Chron Obstruct Pulmon Dis 11:1881-1894 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Foo J, Landis SH, Maskell J, et al. (2016) Continuing to Confront COPD International Patient Survey: Economic Impact of COPD in 12 Countries. PLoS One 11(4):e0152618. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Geldmacher H, Biller H, Herbst A, et al. (2008) Die Prävalenz der chronisch obstruktiven Lungenerkrankung (COPD) in Deutschland. Ergebnisse der BOLD-Studie. Dtsch Med Wochenschr 133(50):2609-2614 [DOI] [PubMed] [Google Scholar]
- 25.Lamprecht B, Soriano JB, Studnicka M, et al. (2015) Determinants of underdiagnosis of COPD in national and international surveys. Chest 148(4):971-985 [DOI] [PubMed] [Google Scholar]
- 26.Colak Y, Afzal S, Nordestgaard BG, et al. (2017) Prognosis of asymptomatic and symptomatic, undiagnosed COPD in the general population in Denmark: a prospective cohort study. Lancet Respir Med 5(5):426-434 [DOI] [PubMed] [Google Scholar]
- 27.Mohamed Hoesein FA, Zanen P, Lammers JW. (2011) Lower limit of normal or FEV1/FVC < 0.70 in diagnosing COPD: an evidence-based review. Respir Med 105(6):907-915 [DOI] [PubMed] [Google Scholar]
- 28.Vollmer WM, Gislason T, Burney P, et al. (2009) Comparison of spirometry criteria for the diagnosis of COPD: results from the BOLD study. Eur Respir J 34(3):588-597 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Criee CP, Baur X, Berdel D, et al. (2015) Standardization of Spirometry: 2015 Update Published by German Atemwegsliga, German Respiratory Society and German Society of Occupational and Environmental Medicine. Pneumologie 69(3):147-164 [DOI] [PubMed] [Google Scholar]
- 30.Zemp E, Hansen S, Schneider C, et al. (2014) Sex, gender and respiratory health. In: Annesi-Maesano I, Lundbäck B, Viegi G, et al. (eds) Respiratory epidemiology. European Respiratory Society, Sheffield [Google Scholar]
- 31.de Marco R, Accordini S, Cerveri I, et al. (2004) An international survey of chronic obstructive pulmonary disease in young adults according to GOLD stages. Thorax 59(2):120-125 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Allinson JP, Hardy R, Donaldson GC, et al. (2016) The Presence of Chronic Mucus Hypersecretion across Adult Life in Relation to Chronic Obstructive Pulmonary Disease Development. Am J Respir Crit Care Med 193(6):662-672 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Lange P, Vestbo J. (2016) Chronic Mucus Hypersecretion and the Natural History of Chronic Obstructive Pulmonary Disease. Am J Respir Crit Care Med 193(6):602-603 [DOI] [PubMed] [Google Scholar]
- 34.Vestbo J, Lange P. (2002) Can GOLD Stage 0 provide information of prognostic value in chronic obstructive pulmonary disease? Am J Respir Crit Care Med 166(3):329-332 [DOI] [PubMed] [Google Scholar]
- 35.Pleasants RA, Riley IL, Mannino DM. (2016) Defining and targeting health disparities in chronic obstructive pulmonary disease. Int J Chron Obstruct Pulmon Dis 11:2475-2496 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Townend J, Minelli C, Mortimer K, et al. (2017) The association between chronic airflow obstruction and poverty in 12 sites of the multinational BOLD study. Eur Respir J 49(6) [DOI] [PubMed] [Google Scholar]
- 37.Organisation for Economic Co-operation and Development/European Union (2016) Health at a Glance: Europe 2016. State of Health in the EU Cycle. OECD Publishing, Paris [Google Scholar]
- 38.Burney P, Jithoo A, Kato B, et al. (2014) Chronic obstructive pulmonary disease mortality and prevalence: the associations with smoking and poverty--a BOLD analysis. Thorax 69(5):465-473 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Cerveri I, Accordini S, Verlato G, et al. (2001) Variations in the prevalence across countries of chronic bronchitis and smoking habits in young adults. Eur Respir J 18(1):85-92 [DOI] [PubMed] [Google Scholar]
- 40.Pollmanns J, Romano PS, Weyermann M, et al. (2017) Impact of Disease Prevalence Adjustment on Hospitalization Rates for Chronic Ambulatory Care-Sensitive Conditions in Germany. Health Serv Res Mar 22 [DOI] [PMC free article] [PubMed] [Google Scholar]