Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 376

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Who Participates? Accounting for Longitudinal Retention in the MIDUS National Study of Health and Well-Being

Open access
Radler, Barry T., Ryff, Carol D.·2010·Journal of Aging and Health

Abstract

Objectives: This article uses data from MIDUS (Midlife in the United States), a national study of Americans ( N = 7,108), to investigate factors that predict longitudinal retention. With its extensive age range (25-75 at Time 1) and long-term design (9- to 10-year survey interval), MIDUS is useful for investigating common sociodemographic and health predictors of continuing participation. Method: The authors conducted logistic regression analyses of baseline sociodemographic and health variables predicting retention. Select interaction terms examined the interplay between targeted variables. Results: Consistent with prior research, higher retention rates were found among Whites, females, and married individuals as well as those with better health and more education. Interaction analyses further clarified that (a) health status better predicted retention among older compared to younger respondents and among women compared to men, (b) marital status better predicted retention among Whites compared to non-Whites and among women compared to men, and (c) economic status better predicted retention among those with poorer functional health status. Discussion: The authors’ analyses clarify that longitudinal retention varied depending on respondents’ sociodemographic characteristics and their health status. The unique contribution of this article is that factors predicting nonparticipation can be offset by, or compensated for, other factors.

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1177/0898264309358617

Cites

2 of 2 references verified0 citation errors · 0 not checkable

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.

A few free checks a day · papers already verified open instantly · results are public

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

Cites

Show all 2 references

Cited by

See all 376

Metadata

Authors
Radler, B. T., & Ryff, C. D.
Venue
Journal of Aging and Health
Published
2010-01-26
Volume
22
Issue
3
Pages
307-331
ISSN
  • 0898-2643 (ISSN-L)
  • 1552-6887
OpenAlex
W2153316544
Cited by
376
References
2
FWCI
57.39
Type
journal article
Language
en
Open access
green

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: Who Participates? Accounting for Longitudinal Retention in the MIDUS National Study of Health and Well-Being. https://app.cochat.ai/papers/10.1177/0898264309358617
The paper
Radler, B. T., & Ryff, C. D. (2010). Who Participates? Accounting for Longitudinal Retention in the MIDUS National Study of Health and Well-Being. Journal of Aging and Health. https://doi.org/10.1177/0898264309358617

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.