Literature DB >> 11864790

Predictors of attrition in a longitudinal cognitive aging study: the Maastricht Aging Study (MAAS).

C E M Van Beijsterveldt1, M P J van Boxtel, H Bosma, P J Houx, F Buntinx, J Jolles.   

Abstract

A large sample of older participants of the Maastricht Aging Study (MAAS) were compared to drop-outs at the 3-year follow-up with respect to socio-demographic, health, and cognitive characteristics. In addition, the impact of selective drop-out on measures of cognitive change was examined. To this end, hypothetical scores were estimated for drop-outs by using single and multiple imputation methods. Of the initial sample of 539 subjects, aged 49 years and older at baseline, 116 (22 %) did not return for the follow-up (n = 32 had died, n = 84 refused participation). Drop-outs who refused to participate in the follow-up were more often women, had lower educational levels, and had lower baseline scores on neurocognitive tests. Follow-up drop-outs who had died were more often men, older, and had a poorer performance on cognitive tests than the follow-up participants. Although follow-up participants and drop-outs differed in terms of socio-demographic and cognitive characteristics, attrition appeared to have little effect on the estimates of cognitive change.

Entities:  

Mesh:

Year:  2002        PMID: 11864790     DOI: 10.1016/s0895-4356(01)00473-5

Source DB:  PubMed          Journal:  J Clin Epidemiol        ISSN: 0895-4356            Impact factor:   6.437


  43 in total

1.  Proxy interviews and bias in the distribution of cognitive abilities due to non-response in longitudinal studies: a comparison of HRS and ELSA.

Authors:  David Weir; Jessica Faul; Kenneth Langa
Journal:  Longit Life Course Stud       Date:  2011-05

2.  Ethnic/race differences in the attrition of older American survey respondents: implications for health-related research.

Authors:  Natalia A Zhivan; Alfonso Ang; Hortensia Amaro; William A Vega; Kyriakos S Markides
Journal:  Health Serv Res       Date:  2011-09-23       Impact factor: 3.402

3.  Longitudinal evidence for diminished frontal cortex function in aging.

Authors:  Lars Nyberg; Alireza Salami; Mikael Andersson; Johan Eriksson; Grégoria Kalpouzos; Karolina Kauppi; Johanna Lind; Sara Pudas; Jonas Persson; Lars-Göran Nilsson
Journal:  Proc Natl Acad Sci U S A       Date:  2010-12-14       Impact factor: 11.205

4.  Attrition in Longitudinal Data is Primarily Selective with Respect to Level Rather than Rate of Change.

Authors:  Timothy A Salthouse
Journal:  J Int Neuropsychol Soc       Date:  2019-05-28       Impact factor: 2.892

5.  Is personality a key predictor of missing study data? An analysis from a randomized controlled trial.

Authors:  Anthony Jerant; Benjamin P Chapman; Paul Duberstein; Peter Franks
Journal:  Ann Fam Med       Date:  2009 Mar-Apr       Impact factor: 5.166

6.  Factors influencing attrition in 35 Alzheimer's Disease Centers across the USA: a longitudinal examination of the National Alzheimer's Coordinating Center's Uniform Data Set.

Authors:  Shanna L Burke; Tianyan Hu; Mitra Naseh; Nicole M Fava; Janice O'Driscoll; Daniel Alvarez; Linda B Cottler; Ranjan Duara
Journal:  Aging Clin Exp Res       Date:  2018-12-10       Impact factor: 3.636

7.  Attrition of older Mexican American survey respondents.

Authors:  Jim P Stimpson; Laura A Ray
Journal:  J Immigr Minor Health       Date:  2008-05-16

8.  Attrition in panel surveys in Mexico: The Mexican Health and Aging Study (MHAS).

Authors:  Karina Orozco-Rocha; Rebeca Wong; Alejandra Michaels Obregón
Journal:  Real Datos Espacio       Date:  2018 Jan-Apr

Review 9.  Normal cognitive aging.

Authors:  Caroline N Harada; Marissa C Natelson Love; Kristen L Triebel
Journal:  Clin Geriatr Med       Date:  2013-11       Impact factor: 3.076

10.  Multiple imputation for estimation of an occurrence rate in cohorts with attrition and discrete follow-up time points: a simulation study.

Authors:  Noémie Soullier; Elise de La Rochebrochard; Jean Bouyer
Journal:  BMC Med Res Methodol       Date:  2010-09-03       Impact factor: 4.615

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.