Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 186

The DOI matches its Crossref record.

Who Will Stay and Who Will Go? A Review of Older Adults’ Adherence to Randomized Controlled Trials of Exercise

Martin, Kathleen A., Sinden, Adrienne R.·2001·Journal of Aging and Physical Activity

Abstract

This study examined exercise-adherence rates and their predictors across 21 randomized controlled trials (RCTs) involving older adults (age ≥ 55 years). On average, participants completed 78% of their prescribed exercise bouts. Adherence tended to be greater in strength- and flexibility-exercise training programs (M = 87%) than in aerobic-exercise training programs (M = 75%). The best adherers were individuals who were fitter at baseline, had a history of a physically active lifestyle, were nonsmokers, and had higher exercise self-efficacy. Different variables predicted adherence (a) at different time points in a RCT. (b) to different types of exercise, and (c) to different aspects of the exercise prescription (i.e., frequency, intensity, and duration). The findings suggest that older adults might be more adherent to exercise prescriptions than younger adults are. There is also a need for more theory-based research to examine predictors of adherence to various aspects of the exercise prescription.

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 · 10.1123/japa.9.2.91

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.

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

Cited by

See all 186

Metadata

Authors
Martin, K. A., & Sinden, A. R.
Venue
Journal of Aging and Physical Activity
Published
2001-04
Volume
9
Issue
2
Pages
91-114
ISSN
  • 1063-8652 (ISSN-L)
  • 1543-267X
OpenAlex
W2490494200
Cited by
186
References
0
FWCI
3.13
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: Who Will Stay and Who Will Go? A Review of Older Adults’ Adherence to Randomized Controlled Trials of Exercise. https://app.cochat.ai/papers/10.1123/japa.9.2.91
The paper
Martin, K. A., & Sinden, A. R. (2001). Who Will Stay and Who Will Go? A Review of Older Adults’ Adherence to Randomized Controlled Trials of Exercise. Journal of Aging and Physical Activity. https://doi.org/10.1123/japa.9.2.91

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.