Please use this identifier to cite or link to this item: http://hdl.handle.net/2381/16391
Title: Cohort differences in disease and disability in the young-old: Findings from the MRC Cognitive Function and Ageing Study (MRC-CFAS)
Authors: Jagger, Carol
Matthews, Ruth J.
Matthews, F.E.
Spiers, Nicola A.
Nickson, J.
Paykel, E.S.
Huppert, F.A.
Brayne, C.
The Medical Research Council Cognitive Function and Ageing Study (MRC-CFAS)
First Published: 13-Jul-2007
Publisher: BioMed Central Ltd
Citation: BMC Public Health, 2007, 7 : 156
Abstract: Background: Projections of health and social care need are highly sensitive to assumptions about cohort trends in health and disability. We use a repeated population-based cross-sectional study from the Cambridgeshire centre of the UK Medical Research Council Cognitive Function and Ageing Study to investigate trends in the health of the young-old UK population Methods: Non-overlapping cohorts of men and women aged 65–69 years in 1991/2 (n = 689) and 1996/7 (n = 687) were compared on: self-reported diseases and conditions; self-rated health; mobility limitation; disability by logistic regression and four-year survival by Cox Proportional Hazards Regression models, with adjustments for differences in socio-economic and lifestyle factors. Results: Survival was similar between cohorts (HR: 0.91, 95% CI: 0.62 to 1.32). There was a significant increase in the number of conditions reported between cohorts, with more participants reporting 3 or more conditions in the new cohort (14.2% vs. 10.1%). When individual conditions were considered, there was a 10% increase in the reporting of arthritis and a significant increase in the reporting of chronic airways obstruction (OR: 1.36, 95% CI: 1.04 to 1.78). Conclusion: This study provides evidence of rising levels of ill-health, as measured by the prevalence of self-reported chronic conditions, in the newer cohorts of the young-old. Though changes in diagnosis or reporting of disease cannot, as yet, be excluded, to better understand whether our findings reflect real increases in ill-health, investment should be made into improved population-based databases, linking self-report and objective measures of health and function, and including those in long-term care.
DOI Link: 10.1186/1471-2458-7-156
eISSN: 1471-2458
Links: http://hdl.handle.net/2381/16391
http://www.biomedcentral.com/1471-2458/7/156
Version: Publisher Version
Status: Peer-reviewed
Type: Journal Article
Rights: Copyright © 2007 Jagger et al; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Appears in Collections:Published Articles, Dept. of Health Sciences

Files in This Item:
File Description SizeFormat 
10.1186_1471-2458-7-156.pdfPublished (publisher PDF)265.32 kBAdobe PDFView/Open


Items in LRA are protected by copyright, with all rights reserved, unless otherwise indicated.