Cited by 77Dementia and Cognitive Impairment ResearchStatistical Methods in EpidemiologyStatistical Methods and Bayesian Inference

Measuring Cognitive Function With Age: The Influence of Selection by Health and Survival

Euser, Sjoerd M., Schram, Miranda T., Hofman, Albert, Westendorp, Rudi G. J., Breteler, Monique M. B.·2008·Epidemiology

Abstract

Background Research into the pathophysiology of age-associated cognitive function and decline requires a valid estimate of cognitive function. However, this estimation can be grossly influenced by a selective loss to follow-up. Methods We investigated the influence of health selection on the estimated age-associated cognitive function and decline by studying the effect on this estimation of study design and of the handling of multiple and missing data. We used linear regression analyses and linear mixed models to assess cognitive function from cross-sectional and longitudinal data. Repeated measures of cognitive function (assessed with dedicated neuropsychological tests) were carried out in 2 independent population-based cohort studies: the Rotterdam Study (3719 participants; mean age 71 years) and the Leiden 85-plus Study (369 participants; age 85 years). Results The effect of age on cognitive function was greater in cross-sectional analyses when all participants were included than when analyses were restricted to participants with repeated measurements. The decline in cognitive function over 4.6 years of follow-up was intermediate between the cross-sectional estimates from the total sample and from the restricted sample. Moreover, the estimated decline in cognitive function was larger when using a short follow-up than when using the complete follow-up over 5 years. The estimated decline using linear mixed models was similar to analyses including those with a complete follow…

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Crossref · 10.1097/ede.0b013e31816a1d31

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  • Selective attrition of cognitively impaired participants could underestimate the rate of cognitive decline or not.

    “Selective attrition of cognitively impaired participants could underestimate the rate of cognitive decline57 or not.58”

    From Sex differences in cognitive decline among US adults (2021) · cites this paper as [57]

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Authors
Euser, S. M., Schram, M. T., Hofman, A., Westendorp, R. G. J., & Breteler, M. M. B.
Affiliations
  • Erasmus MC (NL)
  • Leiden University Medical Center (NL)
Corresponding author
Breteler, Monique M. B.
Venue
Epidemiology
Published
2008-05
Volume
19
Issue
3
Pages
440-447
ISSN
1044-3983 (ISSN-L)
OpenAlex
W2078065085
Cited by
77
References
31
Citations by year
2026: 3 · 2025: 2 · 2023: 2 · 2022: 3 · 2021: 1 · 2020: 4 · 2019: 2 · 2018: 3 · 2017: 3 · 2016: 3 · 2015: 5 · 2014: 3 · 2013: 8 · 2012: 13
FWCI
5.14
Type
journal article
Language
en
Open access
closed
Locations
  • Epidemiology (publishedVersion)
  • PubMed (publishedVersion)
  • EUR Research Repository (Erasmus University Rotterdam) (publishedVersion)
  • EUR Research Repository (Erasmus University Rotterdam) (submittedVersion)
Topics
  • Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
  • Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Epidemiology
  • Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Bayesian Inference
Keywords
age-related cognitive decline, cognitive function, loss to follow-up, multiple imputation, missing data, linear mixed models, follow-up duration, Rotterdam Study, Leiden 85-plus Study, older adults
MeSH terms
Aged, Aged, 80 and over, Aging, Cognition Disorders, Cross-Sectional Studies, Female, Health Status, Humans, Longitudinal Studies, Male, Middle Aged, Netherlands, Neuropsychological Tests, Prospective Studies, Geriatric Assessment, Linear Models, Survival Analysis, Disease Progression

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