The Consortium on Health and Ageing: Network of Cohorts in Europe and the United States (CHANCES) project—design, population and data harmonization of a large-scale, international study Paolo Boffetta Martin Bobak Axel Borsch-Supan Hermann Brenner Sture Eriksson Fran Grodstein Eugene Jansen Mazda Jenab Hendrik Juerges Ellen Kampman Frank Kee Kari Kuulasmaa Yikyung Park Anne Tjonneland Cornelia van Duijn Tom Wilsgaard Alicja Wolk Dimitrios Trichopoulos Christina Bamia Antonia Trichopoulou Email author NEW STUDY First Online: 13 December 2014 Received: 13 March 2014 Accepted: 24 November 2014
Abstract There is a public health demand to prevent health conditions which lead to increased morbidity and mortality among the rapidly-increasing elderly population. Data for the incidence of such conditions exist in cohort studies worldwide, which, however, differ in various aspects. The Consortium on Health and Ageing: Network of Cohorts in Europe and the United States (CHANCES) project aims at harmonizing data from existing major longitudinal studies for the elderly whilst focussing on cardiovascular diseases, diabetes mellitus, cancer, fractures and cognitive impairment in order to estimate their prevalence, incidence and cause-specific mortality, and identify lifestyle, socioeconomic, and genetic determinants and biomarkers for the incidence of and mortality from these conditions. A survey instrument assessing ageing-related conditions of the elderly will be also developed. Fourteen cohort studies participate in CHANCES with 683,228 elderly (and 150,210 deaths), from 23 European and three non-European countries. So far, 287 variables on health conditions and a variety of exposures, including biomarkers and genetic data have been harmonized. Different research hypotheses are investigated with meta-analyses. The results which will be produced can help international organizations, governments and policy-makers to better understand the broader implications and consequences of ageing and thus make informed decisions.
Keywords Cohort Ageing Elderly Meta-analysis
References 1.
World Health Organization. 2008–2013 Action plan for the global strategy for the prevention and control of noncommunicable diseases. Geneva: WHO; 2008.
Google Scholar 2.
United Nations. Political declaration of the high-level meeting of the general assembly on the prevention and control of non communicable diseases United Nations. 2011.
http://www.un.org/ga/search/view_doc.asp?symbol=A/66/L.1 . Assessed 30 Dec 2013.
3.
World Health Organization. Active ageing. A policy framework. 2002.
http://whqlibdoc.who.int/hq/2002/who_nmh_nph_02.8.pdf . Accessed 2 July 2012.
4.
Newman AB, Arnold AM, Naydeck BL, Fried LP, Burke GL, Enright P, et al. “Successful aging”: effect of subclinical cardiovascular disease. Arch Intern Med. 2003;163(19):2315–22.
PubMed CrossRef Google Scholar 5.
World Health Organization. Preventing chronic diseases: a vital investment. 2005.
http://www.who.int/chp/chronic_disease_report/en/ Accessed 2 July 2012.
6.
Bianchi L, Zuliani G, Volpato S. Physical disability in the elderly with diabetes: epidemiology and mechanisms. Curr Diab Rep. 2013;13:824–30.
Google Scholar 7.
Jemal A, Ward E, Hao Y, Thun M. Trends in the leading causes of death in the United States, 1970–2002. JAMA. 2005;294:1255–9.
PubMed CrossRef Google Scholar 8.
Aronow WS. Heart disease and ageing. Med Clin N Am. 2006;90:849–62.
PubMed CrossRef Google Scholar 9.
Murray CJ, Lopez AD. Measuring the global burden of disease. N Engl J Med. 2013;369:448–57.
PubMed CrossRef Google Scholar 10.
World Health Organization. Diabetes fact Sheet No 312. 2012.
http://www.who.int/mediacentre/factsheets/fs312/en/index.html . Accessed 30 Dec 2013.
11.
Ferlay J, Shin H, Bray F, Forman D, Mathers C, Parkin DM. Estimates of worldwide burden of cancer in 2008: GLOBOCAN. IJC. 2010;127:2893–917.
Google Scholar 12.
Pawelec G, Barnett Y, Forsey R, Frasca D, Globerson A, McLeod J, et al. T cells and aging. Front Biosci. 2002;2002(1):1056–83.
Google Scholar 13.
Gielen E, Verschueren S, O’Neill TW, Pye SR, O’Connell MD, Lee DM, et al. Musculoskeletal frailty: a geriatric syndrome at the core of fracture occurrence in older age. Calcif Tissue Int. 2012;91:161–77.
PubMed CrossRef Google Scholar 14.
Johnell O, Kanis JA. An estimate of the worldwide prevalence and disability associated with osteoporotic fractures. Osteoporos Int. 2006;17:1726–33.
PubMed CrossRef Google Scholar 15.
Cummings SR, Melton LJ. Epidemiology and outcomes of osteoporotic fractures. Lancet. 2002;359:1761–7.
PubMed CrossRef Google Scholar 16.
Kannus P, Parkkari J, Sievänen H, Heinonen A, Vuori I, Järvinen M. Epidemiology of hip fractures. Bone. 1996;18(1 suppl):57S–63S.
PubMed CrossRef Google Scholar 17.
Centre JR, Nguyeen TV, Schneider D, Sambrook PN, Eisman JR. Mortality after all types of osteoporotic fracture in men and women: an observational study. Lancet. 1999;353:878–82.
CrossRef Google Scholar 18.
Brayne C. The elephant in the room: healthy brains in later life, epidemiology and public health. Nat Rev Neurosci. 2007;8:233–9.
PubMed CrossRef Google Scholar 19.
Deary IJ, Corley J, Gow AJ, Harris SE, Houlihan LM, Marioni RE, et al. Age-associated cognitive decline. Br Med Bull. 2009;92:135–52.
PubMed CrossRef Google Scholar 20.
World Health Organization. The global burden of disease: 2004 update. 2004.
http://www.who.int/healthinfo/global_burden_disease/GBD_report_2004update_full.pdf . Αccessed 2 July 2012.
21.
Le Marchand L, Kolonel LN, Hankin JH, Yoshizawa CN. Relationship of alcohol consumption to diet: a population-based study in Hawaii. Am J Clin Nutr. 1989;49:567–72.
PubMed Google Scholar 22.
Juster FT, Suzman R. An overview of the Health and Retirement Study. J Hum Resour. 1995;30(suppl):S7–56.
CrossRef Google Scholar 23.
Healy GN, Wijndaele K, Dunstan DW, Shaw JE, Salmon J, Zimmet PZ, et al. Objectively measured sedentary time, physical activity, and metabolic risk: the Australian Diabetes, Obesity and Lifestyle Study (AusDiab). Diabetes Care. 2008;31:369–71.
PubMed CrossRef Google Scholar 24.
Lee DM, O’Neill TW, Pye SR, Silman AJ, Finn JD, Pendleton N, et al. The European Male Ageing Study (EMAS): design, methods and recruitment. Int J Androl. 2009;32:11–24.
PubMed CrossRef Google Scholar 25.
Raina PS, Wolfson C, Kirkland SA, Griffith LE, Oremus M, Patterson C, et al. The Canadian longitudinal study on aging (CLSA). Can J Aging. 2009;28:221–9.
PubMed CrossRef Google Scholar 26.
Kowal P, Kahn K, Ng N, Naidoo N, Abdullah S, Bawah A, et al. Ageing and adult health status in eight lower-income countries: the INDEPTH WHO–SAGE collaboration. Glob Health Action. 2010. doi:
10.3402/gha.v3i0.5302 .
27.
Harris HR, Håkansson N, Olofsson C, Julin B, Åkesson A, Wolk A. The Swedish mammography cohort and the cohort of Swedish men: study design and characteristics of 2 population-based longitudinal cohorts. OA Epidemiol. 2013;1:16.
CrossRef Google Scholar 28.
Trichopoulou A, Orfanos P, Norat T, Bueno-de-Mesquita HB, Ocké MC, Peeters PHM, et al. Modified Mediterranean diet and survival: EPIC-elderly prospective cohort study. BMJ. 2005;330:991.
PubMedCentral PubMed CrossRef Google Scholar 29.
Schöttker B, Haug U, Schomburg L, Köhrle J, Perna L, Müller H, et al. Strong associations of 25-hydroxyvitamin D levels with all-cause, cardiovascular, cancer and respiratory disease mortality in a large cohort study. Am J Clin Nutr. 2013;97:782–93.
PubMed CrossRef Google Scholar 30.
Peasey A, Bobak M, Kubinova R, Malyutina S, Pajak A, Tamosiunas A, et al. Determinants of cardiovascular disease and other non-communicable diseases in Central and Eastern Europe: rationale and design of the HAPIEE study. BMC Public Health. 2006;6:255.
PubMedCentral PubMed CrossRef Google Scholar 31.
Evans A, Salomaa V, Kulathinal S, Asplund K, Cambien F, Ferrario M, et al. MORGAM (an international pooling of cardiovascular cohorts). Int J Epidemiol. 2005;34:21–7.
PubMed CrossRef Google Scholar 32.
Hallmans G, Agren A, Johansson G, Johansson A, Stegmayr B, Jansson JH, et al. Cardiovascular disease and diabetes in the Northern Sweden Health and Disease Study Cohort: evaluation of risk factors and their interactions. Scand J Public Health Suppl. 2003;61:18–24.
PubMed CrossRef Google Scholar 33.
Hofman A, Darwish Murad S, van Duijn CM, Franco OH, Goedegebure A, et al. The Rotterdam Study: 2014 objectives and design update. Eur J Epidemiol. 2013;28:889–926.
PubMed CrossRef Google Scholar 34.
de Groot LC, van Staveren WA. Description of survey towns and populations. Eur J Clin Nutr. 1991;45:23–9.
PubMed Google Scholar 35.
Börsch-Supan A, Brandt M, Hunkler C, Kneip T, Korbmacher J, Malter F, et al. Data resource profile: the Survey of Health, Ageing and Retirement in Europe (SHARE). Int J Epidemiol. 2013. doi:
10.1093/ije/dyt088 .
http://ije.oxfordjournals.org/cgi/content/full/dyt088?ijkey=fW5IAlkIG8vZRzd&key .
36.
Wolk A, Larsson SC, Johansson JE, Ekman P. Long-term fatty fish consumption and renal cell carcinoma incidence in women. JAMA. 2006;296:1371–6.
PubMed CrossRef Google Scholar 37.
Eggen AE, Mathiesen EB, Wilsgaard T, Njølstad I. Cohort profile: the Tromsø Study. Int J Epidemiol. 2012;41:961–7.
PubMedCentral PubMed CrossRef Google Scholar 38.
Buijsse B, Feskens EJ, Kok FJ, Kromhout D. Cocoa intake, blood pressure, and cardiovascular mortality: the Zutphen Elderly Study. Arch Intern Med. 2006;166:411–7.
PubMed Google Scholar 39.
Colditz GA, Hankinson SE. The Nurses’ Health Study: lifestyle and health among women. Nat Rev Cancer. 2005;5:388–96.
PubMed CrossRef Google Scholar 40.
Schatzkin A, Subar AF, Thompson FE, Harlan LC, Tangrea J, Hollenbeck AR, et al. Design and serendipity in establishing a large cohort with wide dietary intake distributions: the National Institutes of Health-American Association of Retired Persons Diet and Health Study. Am J Epidemiol. 2001;154:1119–25.
PubMed CrossRef Google Scholar 41.
Orfanos P, Naska A, Trichopoulos D, Slimani N, Ferrari P, van Bakel M, et al. Eating out of home and its correlates in 10 European countries. The European Prospective Investigation into Cancer and Nutrition (EPIC) study. Public Health Nutr. 2007;10:1515–25.
PubMed CrossRef Google Scholar © Springer Science+Business Media Dordrecht 2014
Authors and Affiliations Paolo Boffetta Martin Bobak Axel Borsch-Supan Hermann Brenner Sture Eriksson Fran Grodstein Eugene Jansen Mazda Jenab Hendrik Juerges Ellen Kampman Frank Kee Kari Kuulasmaa Yikyung Park Anne Tjonneland Cornelia van Duijn Tom Wilsgaard Alicja Wolk Dimitrios Trichopoulos Christina Bamia Antonia Trichopoulou Email author 1. Hellenic Health Foundation Athens Greece 2. Institute for Translational Epidemiology and Tisch Cancer Institute Icahn School of Medicine at Mount Sinai New York USA 3. Department of Epidemiology and Public Health University College London London UK 4. Munich Center for the Economics of Aging Max-Planck Institute for Social Law and Social Policy Munich Germany 5. Division of Clinical Epidemiology and Aging Research German Cancer Research Center Heidelberg Germany 6. Geriatric Medicine Umeå University Umeå Sweden 7. Channing Division of Network Medicine Brigham and Women’s Hospital Boston USA 8. Centre for Health Protection National Institute for Public Health and the Environment Bilthoven The Netherlands 9. International Agency for Research on Cancer (IARC-WHO) Lyon France 10. Schumpeter School of Business and Economics University of Wuppertal Wuppertal Germany 11. Division of Human Nutrition Wageningen University Wageningen The Netherlands 12. UKCRC Centre of Excellence for Public Health (Northern Ireland), Institute of Clinical Sciences Queens University Belfast Northern Ireland, UK 13. Chronic Disease Epidemiology and Prevention Unit National Institute for Health and Welfare (THL) Helsinki Finland 14. Division of Cancer Epidemiology and Genetics National Cancer Institute Bethesda USA 15. Danish Cancer Society Research Center Copenhagen Ø Denmark 16. Department of Epidemiology Erasmus University Medical Center Rotterdam The Netherlands 17. Department of Community Medicine UIT The Arctic University of Norway Tromsö Norway 18. Institute of Environmental Medicine Karolinska Institutet Stockholm Sweden 19. Department of Epidemiology Harvard School of Public Health Boston USA 20. Bureau of Epidemiologic Research Academy of Athens Athens Greece 21. Department of Hygiene, Epidemiology and Medical Statistics University of Athens Medical School Athens Greece