Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 179

The DOI matches its Crossref record.

Automated physical activity monitoring: Validation and comparison with physiological and self‐report measures

PATTERSON, STEPHEN M., KRANTZ, DAVID S., MONTGOMERY, LESLIE C., DEUSTER, PATRICIA A., HEDGES, SUSAN M., NEBEL, LINDA E.·1993·Psychophysiology

Abstract

Physical activity can be assessed via self‐report, via physiological measures such as heart rate and oxygen uptake, or via automated monitor. An electronic accelerometer‐based physical activity device (Actigraph) has been reported as an improvement over other activity measurement techniques in terms of utility and accuracy. Four studies provide systematic validation and reliability testing for this device and comparisons with other techniques for assessing daily activities. In the first study, the sensitivity of the Actigraph was determined for differentiating physical activities (walking, running, stair climbing, knee bends) versus sedentary activities (reading, typing, playing video games, and performing a mental arithmetic task). Fifteen healthy adults wore the Actigraph on their wrist during activities; oxygen uptake and heart rate were simultaneously recorded. Results revealed that the Actigraph significantly differentiated between the physical activities (p < .0001) and the sedentary activities (p < .0001). Actigraph counts also correlated significantly with oxygen uptake (r= .73) and heart rate (r= .71) during physical activities (r= .46) and sedentary activities (r= .35), respectively. Test‐retest reliability was very high for 12 activities (r= .98). The high level of activity differentiation and strong relationship to oxygen uptake and heart rate suggest the usefulness of this device for behavioral and biomedical studies. However, these studies also indicate that the wrist may not always be the most adequate placement for indexing rate and intensity of daily activities and that further studies are needed to determine the optimal site of monitor attachment. Advantages and disadvantages of self‐report, physiological, and automated measures of activity are discussed.

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 · 10.1111/j.1469-8986.1993.tb03356.x

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 179

Metadata

Authors
PATTERSON, S. M., KRANTZ, D. S., MONTGOMERY, L. C., DEUSTER, P. A., HEDGES, S. M., & NEBEL, L. E.
Venue
Psychophysiology
Publisher
Wiley
Published
1993-05
Volume
30
Issue
3
Pages
296-305
ISSN
  • 0048-5772 (ISSN-L)
  • 1469-8986
OpenAlex
W2094138975
Cited by
179
References
0
FWCI
2.08
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: Automated physical activity monitoring: Validation and comparison with physiological and self‐report measures. https://app.cochat.ai/papers/10.1111/j.1469-8986.1993.tb03356.x
The paper
PATTERSON, S. M., KRANTZ, D. S., MONTGOMERY, L. C., DEUSTER, P. A., HEDGES, S. M., & NEBEL, L. E. (1993). Automated physical activity monitoring: Validation and comparison with physiological and self‐report measures. Psychophysiology. https://doi.org/10.1111/j.1469-8986.1993.tb03356.x

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.