Objective
CHANCES aims at combining and integrating on-going cohort studies in order to produce evidence on ageing-related health characteristics and determinants in Europe, and their socio-economic implications. 15 cohorts participate, covering populations from 18 EU Member States, 4 associate countries, and 3 additional countries. The combination of these different studies would lead to an integrated approach to the study of health in the elderly. CHANCES will address 5 main types of health related characteristics: (i) incidence of chronic conditions, disabilities and mortality; (ii) prevalence of chronic conditions and disabilities; (iii) health-related determinants of chronic conditions and disabilities; (iv) ageing-related characteristics as determinants of chronic condition, disabilities and mortality; and (v) social and economic implications of chronic conditions, disabilities and mortality in the elderly. Analyses will be conducted in subjects aged 50-59, 60-69 and 70+ years. Health-related determinants comprise (i) socio-economic factors (e.g. education, income), (ii) environmental factors (e.g. occupational exposures), (iii) lifestyle factors (e.g. tobacco smoking, alcohol drinking), and (iv) nutritional factors (e.g. BMI, dietary patterns), in addition to biomakers and genetic factors. 4 major groups of chronic conditions and disabilities will be studied: (i) cancer; (ii) diabetes and cardiovascular diseases; (iii) fractures and osteoporosis; (iv) cognitive function and Alzheimer disease. Information on other conditions and disabilities (e.g. eye diseases, chronic respiratory conditions) will be also collected if available. Mortality will be assessed in terms of age-specific rates a well as DALYs. A health module will be developed, to be applied to other population surveys. Additionally, the study will generate a unique resource for additional studies on health and its determinants in the elderly. Provisions will be made to allow for this work to be extended.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
- medical and health sciencesbasic medicineneurologydementiaalzheimer
- social sciencessociologydemographymortality
- medical and health sciencesclinical medicineendocrinologydiabetes
- medical and health sciencesclinical medicinecardiologycardiovascular diseases
- medical and health sciencesclinical medicineoncology
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Topic(s)
Call for proposal
FP7-HEALTH-2009-single-stage
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Funding Scheme
CP-IP - Large-scale integrating projectCoordinator
11527 Athens
Greece
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Participants (16)
10561 Athina
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901 87 Umea
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3721 MA Bilthoven
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6708 PB Wageningen
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69120 Heidelberg
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2100 Koebenhavn
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3015 GD Rotterdam
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Participation ended
68161 Mannheim
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BT7 1NN Belfast
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00271 Helsinki
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69007 Lyon 7eme
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02115 Boston
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WC1E 6BT LONDON
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9019 Tromso
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42119 Wuppertal
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80539 Munchen
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