The LEAD (Lung, Heart, Social, Body) Study: Objectives, Methodology, and External Validity of the Population-Based Cohort Study

Robab Breyer-Kohansal, Sylvia Hartl, Otto Chris Burghuber, Matthias Urban, Andrea Schrott, Alvar Agusti, Torben Sigsgaard, Claus Vogelmeier, Emiel Wouters, Michael Studnicka, Marie-Kathrin Breyer, Robab Breyer-Kohansal, Sylvia Hartl, Otto Chris Burghuber, Matthias Urban, Andrea Schrott, Alvar Agusti, Torben Sigsgaard, Claus Vogelmeier, Emiel Wouters, Michael Studnicka, Marie-Kathrin Breyer

Abstract

Background: The Lung, hEart, sociAl, boDy (LEAD) Study (ClinicalTrials.gov; NCT01727518; http://clinicaltrials.gov) is a longitudinal, observational, population-based Austrian cohort that aims to investigate the relationship between genetic, environmental, social, developmental and ageing factors influencing respiratory health and comorbidities through life. The general working hypothesis of LEAD is the interaction of these genetic, environmental and socioeconomic factors influences lung development and ageing, the risk of occurrence of several non-communicable diseases (respiratory, cardiovascular, metabolic and neurologic), as well as their phenotypic (ie, clinical) presentation.

Methods: LEAD invited from 2011-2016 a random sample (stratified by age, gender, residential area) of Vienna inhabitants (urban cohort) and all the inhabitants of six villages from Lower Austria (rural cohort). Participants will be followed-up every four years. A number of investigations and measurements were obtained in each of the four domains of the study (Lung, hEart, sociAl, boDy) including data to screen for lung, cardiovascular and metabolic diseases, osteoporosis, and cognitive function. Blood and urine samples are stored in a biobank for future investigations.

Results: A total of 11.423 males (47.6%) and females (52.4%), aged 6-80 years have been included in the cohort. Compared to governmental statistics, the external validity of LEAD with respect to age, gender, citizenship, and smoking status was high.

Conclusions: In conclusion, the LEAD cohort has been established following high quality standards; it is representative of the Austrian population and offers a platform to understand lung development and ageing as a key mechanism of human health both in early and late adulthood.

Keywords: epidemiology; population based cohort; respiratory diseases.

Figures

Figure 1.. Flow chart of study population…
Figure 1.. Flow chart of study population including invitation, inclusion, and main measurements.
Figure 2.. Flow chart for additional measurements.…
Figure 2.. Flow chart for additional measurements. FeNO Fractional exhaled Nitric Oxide; FEV1 forced expiratory volume in the first second; VC Vital capacity; LLN lower limit of normal. References: Six-minute walking test (6 MWT) expressed as a percentage of the predicted distance and perceived dyspnoea using the modified BORG dyspnoea scale. CAT test; http://www.catestonline.org; 36-item short form (SF-36). ACT; https://www.asthmacontroltest.com/.
Figure 3.. Monitoring units in Vienna, Austria…
Figure 3.. Monitoring units in Vienna, Austria and average PM 10 and NOX in the year 2015 [Reference from the following source: City of Vienna, Municipal Department MA 22 - Environmental Protection].
Figure 4.. Smoking status LEAD study cohort…
Figure 4.. Smoking status LEAD study cohort compared to microcensus.

References

    1. Lopez AD, Shibuya K, Rao C, et al. . Chronic obstructive pulmonary disease: current burden and future projections. Eur Respir J. 2006;27(2):397–412. 10.1183/09031936.06.00025805
    1. Douglass AB, Bornstein R, Nino-Murcia G, et al. . The Sleep Disorders Questionnaire. I: Creation and multivariate structure of SDQ. Sleep. 1994;17(2):160–167. 10.1093/sleep/17.2.160
    1. Schirnhofer L, Lamprecht B, Vollmer WM, et al. . COPD prevalence in Salzburg, Austria: results from the Burden of Obstructive Lung Disease (BOLD) Study. Chest. 2007;131(1):29–36. 10.1378/chest.06-0365
    1. Lange P, Celli B, Agusti A, et al. . Lung-function trajectories leading to chronic obstructive pulmonary disease. N Engl J Med. 2015;373(2):111–122. 10.1056/NEJMoa1411532
    1. Salvi S, Barnes PJ. Is exposure to biomass smoke the biggest risk factor for COPD globally? Chest. 2010;138(1):3–6. 10.1378/chest.10-0645
    1. Pearce N, Sunyer J, Cheng S, et al. . Comparison of asthma prevalence in the ISAAC and the ECRHS. ISAAC Steering Committee and the European Community Respiratory Health Survey. International Study of Asthma and Allergies in Childhood. Eur Respir J. 2000;16(3):420–426. 10.1183/9031936.00.16337700
    1. Bousquet J, Kiley J, Bateman ED, et al. . Prioritised research agenda for prevention and control of chronic respiratory diseases. Eur Respir J. 2010;36(5):995–1001. 10.1183/09031936.00012610
    1. Boezen HM, Vonk JM, van Aalderen WM, et al. . Perinatal predictors of respiratory symptoms and lung function at a young adult age. Eur Respir J. 2002;20(2):383–390. 10.1183/09031936.02.00234102
    1. Jobe A. Fetal & Neonatal Lung Development; 2016.
    1. Kohansal R, Martinez-Camblor P, Agusti A, Buist AS, Mannino DM, Soriano JB. The natural history of chronic airflow obstruction revisited: an analysis of the Framingham offspring cohort. Am J Respir Crit Care Med. 2009;180(1):3–10. 10.1164/rccm.200901-0047OC
    1. Lovasi GS, Diez Roux AV, Hoffman EA, Kawut SM, Jacobs DR Jr, Barr RG. Association of environmental tobacco smoke exposure in childhood with early emphysema in adulthood among nonsmokers: the MESA-lung study. Am J Epidemiol. 2010;171(1):54–62. 10.1093/aje/kwp358
    1. Gehring U, Beelen R, Eeftens M, et al. . Particulate matter composition and respiratory health: the PIAMA Birth Cohort study. Epidemiology. 2015;26(3):300–309. 10.1097/EDE.0000000000000264
    1. Svanes C, Sunyer J, Plana E, et al. . Early life origins of chronic obstructive pulmonary disease. Thorax. 2010;65(1):14–20. 10.1136/thx.2008.112136
    1. Jackson B, Kubzansky LD, Cohen S, Weiss S, Wright RJ. A matter of life and breath: childhood socioeconomic status is related to young adult pulmonary function in the CARDIA study. Int J Epidemiol. 2004;33(2):271–278. 10.1093/ije/dyh003
    1. Edwards CA, Osman LM, Godden DJ, Campbell DM, Douglas JG. Relationship between birth weight and adult lung function: controlling for maternal factors. Thorax. 2003;58(12):1061–1065. 10.1136/thorax.58.12.1061
    1. Jones M. Effect of preterm birth on airway function and lung growth. Paediatr Respir Rev. 2009;10(Suppl 1):9–11. 10.1016/S1526-0542(09)70005-3
    1. Tager IB, Hanrahan JP, Tosteson TD, et al. . Lung function, pre- and post-natal smoke exposure, and wheezing in the first year of life. Am Rev Respir Dis. 1993;147(4):811–817. 10.1164/ajrccm/147.4.811
    1. Hedlund U, Eriksson K, Ronmark E. Socio-economic status is related to incidence of asthma and respiratory symptoms in adults. Eur Respir J. 2006;28(2):303–310. 10.1183/09031936.06.00108105
    1. Sorlie PD, Kannel WB, O’Connor G. Mortality associated with respiratory function and symptoms in advanced age. The Framingham Study. Am Rev Respir Dis. 1989;140(2):379–384. 10.1164/ajrccm/140.2.379
    1. Sin DD, Man SF. Why are patients with chronic obstructive pulmonary disease at increased risk of cardiovascular diseases? The potential role of systemic inflammation in chronic obstructive pulmonary disease. Circulation. 2003;107(11):1514–1519. 10.1161/01.CIR.0000056767.69054.B3
    1. Beaglehole R, Bonita R, Horton R, et al. . Priority actions for the non-communicable disease crisis. Lancet. 2011;377(9775):1438–1447. 10.1016/S0140-6736(11)60393-0
    1. Barabási AL, Gulbahce N, Loscalzo J. Network medicine: a network-based approach to human disease. Nat Rev Genet. 2011;12(1):56–68. 10.1038/nrg2918
    1. Christensen K, Doblhammer G, Rau R, Vaupel JW. Ageing populations: the challenges ahead. Lancet. 2009;374(9696):1196–1208. 10.1016/S0140-6736(09)61460-4
    1. WHO. 2008–2013 Action Plan for the Global Strategy for the Prevention and Control of Noncommunicable Diseases.
    1. Rabe KF, Hurd S, Anzueto A, et al. . Global strategy for the diagnosis, management, and prevention of chronic obstructive pulmonary disease: GOLD executive summary. Am J Respir Crit Care Med. 2007;176(6):532–555. 10.1164/rccm.200703-456SO
    1. Wouters EF. COPD: from an organ- to a disease-oriented approach. COPD. 2008;5(2):73–74. 10.1080/15412550801940200
    1. Agusti A, Soriano JB. COPD as a systemic disease. COPD. 2008;5(2):133–138. 10.1080/15412550801941349
    1. Eickhoff P, Valipour A, Kiss D, et al. . Determinants of systemic vascular function in patients with stable chronic obstructive pulmonary disease. Am J Respir Crit Care Med. 2008;178(12):1211–1218. 10.1164/rccm.200709-1412OC
    1. Breyer MK, Spruit MA, Celis AP, Rutten EP, Janssen PP, Wouters EF. Highly elevated C-reactive protein levels in obese patients with COPD: a fat chance? Clin Nutr. 2009;28(6):642–647. 10.1016/j.clnu.2009.05.005
    1. Decramer M, De Benedetto F, Del Ponte A, Marinari S. Systemic effects of COPD. Respir Med 2005;99(Suppl B):S3–S10. 10.1016/j.rmed.2005.09.010
    1. Su X, Ren Y, Li M, Zhao X, Kong L, Kang J. Prevalence of comorbidities in asthma and nonasthma patients: a meta-analysis. Medicine (Baltimore). 2016;95(22):e3459. 10.1097/MD.0000000000003459
    1. Miller MR, Hankinson J, Brusasco V, et al. . Standardisation of spirometry. Eur Respir J. 2005;26(2):319–338. 10.1183/09031936.05.00034805
    1. Quanjer PH, Stanojevic S, Cole TJ, et al. ; Initiative ERSGLF . Multi-ethnic reference values for spirometry for the 3–95-yr age range: the global lung function 2012 equations. Eur Respir J. 2012;40(6):1324–1343. 10.1183/09031936.00080312
    1. Statisik Austria. . Assessed 12.4.2017.
    1. Statistik Austria. . Assessed 12.4.2017.
    1. Statistik Austria. . Assessed 12.4.2017.
    1. IBM Corp. Released 2016. IBM SPSS Statistics for Windows VA, NY: IBM Corp.
    1. Burgel PR, Paillasseur JL, Caillaud D, et al. ; Initiative BSC . Clinical COPD phenotypes: a novel approach using principal component and cluster analyses. Eur Respir J. 2010;36(3):531–539. 10.1183/09031936.00175109
    1. Diez D, Agusti A, Wheelock CE. Network analysis in the investigation of chronic respiratory diseases. From basics to application. Am J Respir Crit Care Med. 2014;190(9):981–988. 10.1164/rccm.201403-0421PP
    1. Mindell JS, Giampaoli S, Goesswald A, et al. ; Group HESRR . Sample selection, recruitment and participation rates in health examination surveys in Europe—experience from seven national surveys. BMC Med Res Methodol. 2015;15:78. 10.1186/s12874-015-0072-4
    1. Strandhagen E, Berg C, Lissner L, et al. . Selection bias in a population survey with registry linkage: potential effect on socioeconomic gradient in cardiovascular risk. Eur J Epidemiol. 2010;25(3):163–172. 10.1007/s10654-010-9427-7
    1. Antó JM, Vermeire P, Vestbo J, Sunyer J. Epidemiology of chronic obstructive pulmonary disease. Eur Respir J. 2001;17(5):982–994. 10.1183/09031936.01.17509820
    1. Diemer MA, Mistry RS, Wadsworth ME, López I, Reimers F. Best practices in conceptualizing and measuring social class in psychological research. Anal Soc Issues Public Policy. 2013;13(1):77–113. 10.1111/asap.12001
    1. Kohansal R, Soriano JB, Agusti A. Investigating the natural history of lung function: facts, pitfalls, and opportunities. Chest. 2009;135(5):1330–1341. 10.1378/chest.08-1750
    1. Bakke PS, Ronmark E, Eagan T, et al. ; European Respiratory Society Task Force . Recommendations for epidemiological studies on COPD. Eur Respir J. 2011;38(6):1261–1277. 10.1183/09031936.00193809
    1. Grigg J. Suppression of lung growth by environmental toxins. Thorax. 2016;71(2):99–100. 10.1136/thoraxjnl-2015-207892
    1. Martinez FD. Early-life origins of chronic obstructive pulmonary disease. N Engl J Med. 2016;375(9):871–878. 10.1056/NEJMra1603287
    1. Kurz C, Orthofer R, Sturm P, et al. . Projection of the air quality in Vienna between 2005 and 2020 for NO2 and PM10. Urban Climate. 2014;10:703–719. 10.1016/j.uclim.2014.03.008
    1. American Academy of Allergy AaIACoA, Asthma and Immunology Allergy diagnostic testing: an updated practice parameter. Ann Allergy Asthma Immunol. 2008. Mar;100(3)(Suppl 3):S1–S148. 10.1016/S1081-1206(10)60305-5
    1. Pickering TG, Hall JE, Appel LJ, et al. . Recommendations for blood pressure measurement in humans and experimental animals: part 1: blood pressure measurement in humans: a statement for professionals from the Subcommittee of Professional and Public Education of the American Heart Association Council on High Blood Pressure Research. Circulation. 2005. 10.1161/01.CIR.0000154900.76284.F6
    1. Rautaharju PM, Warren JW, Jain U, Wolf HK, Nielsen CL. Cardiac infarction injury score: an electrocardiographic coding scheme for ischemic heart disease. Circulation. 1981;64(2):249–256. 10.1161/01.CIR.64.2.249
    1. Laurent S, Cockcroft J, Van Bortel L, et al. ; European Network for Non-invasive Investigation of Large Arteries . Expert consensus document on arterial stiffness: methodological issues and clinical applications. Eur Heart J. 2006;27(21):2588–2605. 10.1093/eurheartj/ehl254
    1. European Stroke Organisation, Tendera M, Aboyans V, Bartelink ML, et al. ; ESC Committee for Practice Guidelines . ESC Guidelines on the diagnosis and treatment of peripheral artery diseases: document covering atherosclerotic disease of extracranial carotid and vertebral, mesenteric, renal, upper and lower extremity arteries: the Task Force on the Diagnosis and Treatment of Peripheral Artery Diseases of the European Society of Cardiology (ESC). Eur Heart J. 2011;32(22):2851–2906.
    1. National Health and Nutrition Examination Survey. . Assessed 2010.
    1. ISAAC. International Study of Asthma and Allergies in Childhood. . Assessed 2010.
    1. European Community Respiratory Health Survey. . Assessed 2010.
    1. Stiensmeier-Pelster J, Braune-Krickau M, Schürmann M, Duda K. DIKJ. Depressions-Inventar für Kinder und Jugendliche. 2000.
    1. Zigmond A, Snaith RP. The hospital anxiety and depression scale. Acta Psychiatr Scand. 1983;67(6):361–370. 10.1111/j.1600-0447.1983.tb09716.x
    1. Ware J, Kosinski M, Keller SD. A 12-Item Short-Form Health Survey: construction of scales and preliminary tests of reliability and validity. Med Care. 1996;34:220–233. 10.1097/00005650-199603000-00003
    1. Fess EE. In: Casanova JS, ed. Clinical assessment recommendations. 2. Chicago: American Society of Hand Therapists; 1992. Grip strength; pp. 41–45.
    1. Looker AC, Wahner HW, Dunn WL, et al. . Updated data on proximal femur bone mineral levels of US adults. Osteoporos Int. 1998;8(5):468–489. 10.1007/s001980050093
    1. ATS Committee on Proficiency Standards for Clinical Pulmonary Function Laboratories ATS statement: guidelines for the six-minute walk test. Am J Respir Crit Care Med. 2002;166(1):111–117. 10.1164/ajrccm.166.1.at1102
    1. Troosters T, Gosselink R, Decramer M. Six minute walking distance in healthy elderly subjects. Eur Respir J. 1999;14(2):270–274. 10.1034/j.1399-3003.1999.14b06.x
    1. Borg GA. Psychophysical bases of perceived exertion. Med Sci Sports Exerc. 1982;14(5):377–381. 10.1249/00005768-198205000-00012
    1. Mahler DA, Mackowiak JI. Evaluation of the short-form 36-item questionnaire to measure health-related quality of life in patients with COPD. Chest. 1995;107(6):1585–1589. 10.1378/chest.107.6.1585

Source: PubMed

3
Subscribe