The DOI matches its Crossref record.
Nonresponse Pattern and Bias in a Community-based Cross-sectional Study of Cognitive Functioning among the Elderly
Abstract
The demographic, health, and mental functioning characteristics of nonresponders to a community-based cross-sectional study of cognitive functioning among the elderly in Amsterdam, the Netherlands (Amsterdam Study of the Elderly (AMSTEL), October 1990 to May 1991), were examined and compared with responders. The randomly selected age-stratified (65-74, 75-84 years) sample was drawn from nonresponders listed with a subsample (n = 8) of general practitioners whose lists served as the sampling frame for the main study. The general practitioners approached and interviewed the responding nonresponders using the same standardized questions that were used in the main study. Nonresponders (n = 115) and responders (n = 999) from the same medical practices were compared by means of chi-square and odds ratios. Compared with responders, these nonresponders more often reported a history of psychiatric illness, heart attack, stroke, and diabetes, and were more likely to be unmarried, to have a lower education, and to do poorly on the cognitive test (odds ratio = 1.6, 95% confidence interval 1.0-2.6). Most significant physical and mental health differences by response status were seen among the persons aged < 75 years and not among those aged > or = 75 years. The odds for poor cognitive test performance associated with age and stroke were relatively more biased than those associated with other risk factors. These results suggest that the characteristics of young-old and old-old elderly nonresponders to cross-sectional studies of cognitive function may differ, and that there may be selective nonresponse that could bias, to a different degree, estimates of risk for poor cognitive functioning. Studies should investigate the possibilities for nonresponse in their own setting.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Kivipelto, M., Helkala, E.-L., Laakso, M. P., Hänninen, T., Hallikainen, M., Alhainen, K., Soininen, H., Tuomilehto, J., & Nissinen, A. (2001) · BMJ · doi:10.1136/bmj.322.7300.1447 · Cited by 1,618
Obesity and Vascular Risk Factors at Midlife and the Risk of Dementia and Alzheimer Disease
Kivipelto, M., Ngandu, T., Fratiglioni, L., Viitanen, M., Kåreholt, I., Winblad, B., Helkala, E.-L., Tuomilehto, J., Soininen, H., & Nissinen, A. (2005) · Archives of Neurology · doi:10.1001/archneur.62.10.1556 · Cited by 1,291
Leisure-time physical activity at midlife and the risk of dementia and Alzheimer's disease
Rovio, S., Kåreholt, I., Helkala, E.-L., Viitanen, M., Winblad, B., Tuomilehto, J., Soininen, H., Nissinen, A., & Kivipelto, M. (2005) · The Lancet Neurology · doi:10.1016/s1474-4422(05)70198-8 · Cited by 1,054
Creavin, S. T., Wisniewski, S., Noel-Storr, A. H., Trevelyan, C. M., Hampton, T., Rayment, D., Thom, V. M., Nash, K. J. E., Elhamoui, H., Milligan, R., et al. (2016) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd011145.pub2 · Cited by 820
Midlife vascular risk factors and late-life mild cognitive impairment: A population-based study
Kivipelto, M., Helkala, E.-L., Hänninen, T., Laakso, M. P., Hallikainen, M., Alhainen, K., Soininen, H., Tuomilehto, J., & Nissinen, A. (2001) · Neurology · doi:10.1212/wnl.56.12.1683 · Cited by 717
Metadata
- Authors
- Launer, L. J., Wind, A. W., & Deeg, D. J. H.
- Venue
- American Journal of Epidemiology
- Publisher
- Oxford University Press (OUP)
- Published
- 1994-04-15
- Volume
- 139
- Issue
- 8
- Pages
- 803-812
- ISSN
- 0002-9262 (ISSN-L)
- 1476-6256
- OpenAlex
- W1960732844
- Cited by
- 182
- References
- 0
- FWCI
- 31.39
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Nonresponse Pattern and Bias in a Community-based Cross-sectional Study of Cognitive Functioning among the Elderly. https://app.cochat.ai/papers/10.1093/oxfordjournals.aje.a117077
- The paper
- Launer, L. J., Wind, A. W., & Deeg, D. J. H. (1994). Nonresponse Pattern and Bias in a Community-based Cross-sectional Study of Cognitive Functioning among the Elderly. American Journal of Epidemiology. https://doi.org/10.1093/oxfordjournals.aje.a117077
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.