Access the full text.
Sign up today, get DeepDyve free for 14 days.
S. Galea, Melissa Tracy (2007)
Participation rates in epidemiologic studies.Annals of epidemiology, 17 9
Richard Miller, D. Wright (1995)
Detecting and Correcting Attrition Bias in Longitudinal Family ResearchJournal of Marriage and Family, 57
M. Wadsworth, S. Butterworth, R. Hardy, D. Kuh, M. Richards, C. Langenberg, W. Hilder, M. Connor (2003)
The life course prospective design: an example of benefits and problems associated with study longevity.Social science & medicine, 57 11
Aleksej Bukov, I. Maas, T. Lampert (2002)
Social participation in very old age: cross-sectional and longitudinal findings from BASE. Berlin Aging Study.The journals of gerontology. Series B, Psychological sciences and social sciences, 57 6
P. Jacomb, Anthony Jorm, A. Korten, H. Christensen, A. Henderson (2002)
Predictors of refusal to participate: a longitudinal health survey of the elderly in AustraliaBMC Public Health, 2
F. Matthews, M. Chatfield, Carol Freeman, C. McCracken, C. Brayne, Mrc Cfas (2004)
Attrition and bias in the MRC cognitive function and ageing study: an epidemiological investigationBMC Public Health, 4
M. Goldberg, J. Chastang, A. Leclerc, M. Zins, S. Bonenfant, Isabelle, Bugel, Nadine Kaniewski, A. Schmaus, I. Niedhammer, M. Piciotti, A. Chevalier, C. Godard, E. Imbernon (2001)
Socioeconomic, demographic, occupational, and health factors associated with participation in a long-term epidemiologic survey: a prospective study of the French GAZEL cohort and its target population.American journal of epidemiology, 154 4
M. Marmot (2008)
Living in the 21st century: older people in England
D. Deeg, T. Tilburg, J. Smit, Edith Leeuw (2002)
Attrition in the Longitudinal Aging Study Amsterdam. The effect of differential inclusion in side studies.Journal of clinical epidemiology, 55 4
C. Beijsterveldt, M. Boxtel, H. Bosma, P. Houx, F. Buntinx, J. Jolles (2002)
Predictors of attrition in a longitudinal cognitive aging study: the Maastricht Aging Study (MAAS).Journal of clinical epidemiology, 55 3
I. Mcdowell, B. Helliwell, E. Sykes, G. Hill, J. Lindsay (2001)
Study Organization in the Canadian Study of Health and AgingInternational Psychogeriatrics, 13
Jane Fleming, Emily Zhao, D. O'Connor, P. Pollitt, C. Brayne (2007)
Cohort profile: the Cambridge City over-75s Cohort (CC75C).International journal of epidemiology, 36 1
E. Strauss, L. Fratiglioni, Anthony Jorm, M. Viitanen, B. Winblad (1998)
Attitudes and participation of the elderly in population surveys: data from a longitudinal study on aging and dementia in Stockholm.Journal of clinical epidemiology, 51 3
N. Kreiger, A. Tenenhouse, L. Joseph, T. Mackenzie, S. Poliquin, Jacques Brown, J. Prior, R. Rittmaster (1999)
Research Notes: The Canadian Multicentre Osteoporosis Study (CaMos): Background, Rationale, MethodsCanadian Journal on Aging / La Revue canadienne du vieillissement, 18
E. Nøhr, M. Frydenberg, T. Henriksen, J. Olsen (2006)
Does Low Participation in Cohort Studies Induce Bias?Epidemiology, 17
A. Barry (2005)
How attrition impacts the internal and external validity of longitudinal research.The Journal of school health, 75 7
C. Brayne, C. McCracken, F. Matthews (2006)
Cohort profile: the Medical Research Council Cognitive Function and Ageing Study (CFAS).International journal of epidemiology, 35 5
H. Christensen, A. Mackinnon, Anthony Jorm, A. Korten, P. Jacomb, S. Hofer, S. Henderson (2004)
The Canberra Longitudinal Study: Design, Aims, Methodology, Outcomes and Recent Empirical InvestigationsAging, Neuropsychology, and Cognition, 11
M. Goldberg, J. Chastang, M. Zins, I. Niedhammer, A. Leclerc (2006)
Health problems were the strongest predictors of attrition during follow-up of the GAZEL cohort.Journal of clinical epidemiology, 59 11
D. Blane (2005)
Cohort profile: The Boyd Orr lifegrid sub-sample--medical sociology study of life course influences on early old age.International journal of epidemiology, 34 4
B. Helliwell, R. Aylesworth, I. Mcdowell, M. Baumgarten, E. Sykes (2001)
Correlates of Nonparticipation in the Canadian Study of Health and AgingInternational Psychogeriatrics, 13
M. Chatfield, C. Brayne, F. Matthews (2005)
A systematic literature review of attrition between waves in longitudinal studies in the elderly shows a consistent pattern of dropout between differing studies.Journal of clinical epidemiology, 58 1
K. Ahern, R. Brocque (2005)
Methodological Issues in the Effects of Attrition: Simple Solutions for Social ScientistsField Methods, 17
M. Goldberg, A. Leclerc, S. Bonenfant, J. Chastang, A. Schmaus, Nadine Kaniewski, M. Zins (2007)
Cohort profile: the GAZEL Cohort Study.International journal of epidemiology, 36 1
P. Rabbitt, M. Lunn, D. Wong (2005)
Neglect of dropout underestimates effects of death in longitudinal studies.The journals of gerontology. Series B, Psychological sciences and social sciences, 60 2
Du Feng, M. Silverstein, Roseann Giarrusso, J. Mcardle, V. Bengtson (2006)
Attrition of older adults in longitudinal surveys: detection and correction of sample selection bias using multigenerational data.The journals of gerontology. Series B, Psychological sciences and social sciences, 61 6
F. Juster, R. Suzman (1995)
An Overview of the Health and Retirement StudyJournal of Human Resources, 30
D. Deeg (2002)
Attrition in longitudinal population studies: Does it affect the generalizability of the findings?: An introduction to the series☆Journal of Clinical Epidemiology, 55
F. Matthews, M. Chatfield, C. Brayne (2006)
An investigation of whether factors associated with short-term attrition change or persist over ten years: data from the Medical Research Council Cognitive Function and Ageing Study (MRC CFAS)BMC Public Health, 6
Research that follows people over a period of time (longitudinal or panel studies) is increasingly recognised as of great importance in helping us to understand the ageing process and changes over time in the lives of older people. If people drop out of studies ‐ which older people are more likely to do ‐ the value of the study diminishes. This research draws on evidence from ongoing and previous longitudinal studies of people aged 55 and over to examine what factors encourage the retention of participants and what causes them to drop out. The research is synthesising existing evidence, drawing together the experiences of researchers involved in longitudinal studies, and collecting some new evidence about the views of survey participants. This article reports on the first part of the research by drawing together evidence from other studies. These show that there are some factors that are related to attrition whereas for others the evidence is mixed. Methods employed by these studies to reduce attrition and retain participants are examined. It must be noted that apart from the consistent finding that attrition is associated with age, education, socio‐economic status and cognitive impairment, not all studies examined the same variables; some only being explored by one study. This makes it difficult to draw any further conclusions and indicates that attrition needs to be addressed in a uniform manner by more studies. This article identifies some implications for policy‐makers and practitioners.
Quality in Ageing and Older Adults – Emerald Publishing
Published: Dec 1, 2008
Keywords: Older people; Longitudinal studies; Retention; Attrition; Research methodology
Read and print from thousands of top scholarly journals.
Already have an account? Log in
Bookmark this article. You can see your Bookmarks on your DeepDyve Library.
To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one.
Copy and paste the desired citation format or use the link below to download a file formatted for EndNote
Access the full text.
Sign up today, get DeepDyve free for 14 days.
All DeepDyve websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.