Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 659

The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.

Calibration of Accelerometer Output for Adults

MATTHEW, CHARLES E.·2005·Medicine & Science in Sports & Exercise

Abstract

This paper reviews the collective experience of monitor calibration studies in adults and seeks to answer the following questions: What has been done? What have we learned? What could be done to further enhance the comparability of results from future calibration research? Calibration studies in adults have typically used oxygen consumption as a criterion measure, similar types of source activities, and linear regression to obtain prediction equations that calibrate the activity counts to measured activity intensity levels. However, the methodological diversity of these studies has produced a great deal of variation in the resulting prediction equations and cut points, even when using the same monitor. Thus, data obtained from a relatively robust activity monitoring technology that captures many dynamic physical activities reasonably well have been splintered by the calibration process into a wide range of summary measures that are much less comparable than they could otherwise be. This heterogeneity in calibration results reduces our ability to interpret data obtained from accelerometers between different research groups, across the life span, between populations, and probably between the different monitor types. This report reviews and critiques methods typically used for developing calibration equations and determining activity count cut points for identifying specific intensities of PA among adults, and it highlights the need for flexible research methods that can enhance the comparability of results from future calibration studies.

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 · 10.1249/01.mss.0000185659.11982.3d

Cites

5 of 5 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 5 references

Research works printed but not linked: 35

  1. Ainsworth, 2000, Comparison of three methods for measuring the time spent in physical activity., Med. Sci. Sports Exerc, 32, 457, 10.1097/00005768-200009001-00004 · DOI · Paper page
  2. Ayen, 1988, Estimation of energy expenditure with a simulated three-dimensional accelerometer., J. Ambul. Monit, 1, 293
  3. Bassett, 2000, Validity and reliability issues in objective monitoring of physical activity., Res. Q. Exerc. Sport, 71, S30, 10.1080/02701367.2000.11082783 · DOI · Paper page
  4. Bassett, 2000, Validity of four motion sensors in measuring moderate intensity physical activity., Med. Sci. Sports Exerc, 32, 471, 10.1097/00005768-200009001-00006 · DOI · Paper page
  5. Bouten, 1997, A triaxial accelerometer and portable data processing unit for the assessment of daily physical activity., IEEE Trans. Biomed. Eng, 44, 136, 10.1109/10.554760 · DOI · Paper page
  6. Bouten, 1996, Daily physical activity assessment: comparison between movement registration and doubly labeled water., J. Appl. Physiol, 81, 1019, 10.1152/jappl.1996.81.2.1019 · DOI · Paper page
  7. Brage, 2003, Reexamination of validity and reliability of the CSA monitor in walking and running., Med. Sci. Sports Exerc, 35, 1447, 10.1249/01.MSS.0000079078.62035.EC · DOI · Paper page
  8. Campbell, 2002, Field evaluation of energy expenditure in women using Tritrac accelerometers., Med. Sci. Sports Exerc, 34, 1667, 10.1097/00005768-200210000-00020 · DOI
  9. Chen, 1997, Improving energy expenditure estimation by using a triaxial accelerometer., J. Appl. Physiol, 83, 2112, 10.1152/jappl.1997.83.6.2112 · DOI
  10. Freedson, 2000, Objective monitoring of physical activity using motion sensors and heart rate., Res. Q. Exerc. Sport, 71, S21, 10.1080/02701367.2000.11082782 · DOI · Paper page
  11. Hendelman, 2000, Validity of accelerometry for the assessment of moderate intensity physical activity in the field., Med. Sci. Sports Exerc, 32, 442, 10.1097/00005768-200009001-00002 · DOI · Paper page
  12. Jakicic, 2004, Evaluation of the SenseWear Pro Armband to assess energy expenditure during exercise., Med. Sci. Sports Exerc, 36, 897, 10.1249/01.MSS.0000126805.32659.43 · DOI · Paper page
  13. King, 2004, Comparison of activity monitors to estimate energy cost of treadmill exercise., Med. Sci. Sports Exerc, 36, 1244, 10.1249/01.MSS.0000132379.09364.F8 · DOI
  14. Laporte, 1985, Assessment of physical activity in epidemiologic research: problems and prospects., Public Health Rep, 100, 131
  15. Leenders, 2003, Ability of different physical activity monitors to detect movement during treadmill walking., Int. J. Sports Med, 24, 43, 10.1055/s-2003-37196 · DOI
  16. Matthews, 2005, Development and testing of a short physical activity recall questionnaire., Med. Sci. Sports Exerc, 37, 986
  17. Matthews, 2002, Sources of variance in daily physical activity levels as measured by an accelerometer., Med. Sci. Sports Exerc, 34, 1376, 10.1097/00005768-200208000-00021 · DOI · Paper page
  18. Matthews, 2000, Comparing physical activity assessment methods in the Seasonal Variation of Blood Cholesterol Levels Study., Med. Sci. Sports Exerc, 32, 976, 10.1097/00005768-200005000-00015 · DOI
  19. Montoye, 1971, Estimation of habitual physical activity by questionnaire and interview., Am. J. Clin. Nutr, 24, 1113, 10.1093/ajcn/24.9.1113 · DOI
  20. Montoye, 2000, Introduction: evaluation of some measurements of physical activity and energy expenditure., Med. Sci. Sports Exerc, 32, S439, 10.1097/00005768-200009001-00001 · DOI
  21. Montoye, 1983, Estimation of energy expenditure by a portable accelerometer., Med. Sci. Sports Exerc, 15, 403, 10.1249/00005768-198315050-00010 · DOI · Paper page
  22. Nichols, 2000, Assessment of physical activity with the Computer Science and Applications, Inc. accelerometer: Laboratory versus field validation., Res. Q. Exerc. Sport, 71, 36, 10.1080/02701367.2000.10608878 · DOI · Paper page
  23. Nichols, 1999, Validity, reliability, and calibration of the Tritrac accelerometer as a measure of physical activity., Med. Sci. Sports Exerc, 31, 908, 10.1097/00005768-199906000-00022 · DOI · Paper page
  24. Puyau, 2002, Validation and calibration of physical activity monitors in children., Obes. Res, 10, 150, 10.1038/oby.2002.24 · DOI · Paper page
  25. Servais, 1984, Estimating Human Energy Expenditure Using an Accelerometer Device., J. Clin. Eng, 159, 10.1097/00004669-198404000-00015 · doi:10.1097/00004669-198404000-00015
  26. Strath, 2002, Validity of the simultaneous heart rate-motion sensor technique for measuring energy expenditure., Med. Sci. Sports Exerc, 34, 888, 10.1097/00005768-200205000-00025 · DOI
  27. Swartz, 2000, Estimation of energy expenditure using CSA accelerometers at hip and wrist sites., Med. Sci. Sports Exerc, 32, 450, 10.1097/00005768-200009001-00003 · DOI · Paper page
  28. Treuth, 2004, Defining accelerometer thresholds for activity intensities in adolescent girls., Med. Sci. Sports Exerc, 36, 1259
  29. Trost, Conducting accelerometer-based activity assessments in field-based research., Med. Sci. Sports Exerc, 37, S531, 10.1249/01.mss.0000185657.86065.98 · DOI · Paper page
  30. Welk, 2000, A comparative evaluation of three accelerometry-based physical activity monitors., Med. Sci. Sports Exerc, 32, 489, 10.1097/00005768-200009001-00008 · DOI · Paper page
  31. Westerterp, 1999, Physical activity assessment with accelerometers., Int. J. Obes. Relat. Metab. Disord, 23, S45, 10.1038/sj.ijo.0800883 · DOI · Paper page
  32. Westerterp, 2001, Pattern and intensity of physical activity., Nature, 410, 539, 10.1038/35069142 · DOI · Paper page
  33. Wong, 2003, The detection of gene-environment interaction for continuous traits: should we deal with measurement error by bigger studies or better measurement, Int. J. Epidemiol, 32, 51, 10.1093/ije/dyg002 · DOI · Paper page
  34. Yngve, 2003, Effect of monitor placement and of activity setting on the MTI accelerometer output., Med. Sci. Sports Exerc, 35, 320, 10.1249/01.MSS.0000048829.75758.A0 · DOI
  35. Zurlo, 1992, Spontaneous physical activity and obesity: cross-sectional and longitudinal studies in Pima Indians., Am. J. Physiol, 263, 296

Cited by

See all 659

Metadata

Authors
MATTHEW, C. E.
Venue
Medicine & Science in Sports & Exercise
Published
2005-11
Volume
37
Issue
11
Pages
S512-S522
ISSN
0195-9131 (ISSN-L)
OpenAlex
W1970820481
Cited by
659
References
5
FWCI
8.03
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: Calibration of Accelerometer Output for Adults. https://app.cochat.ai/papers/10.1249/01.mss.0000185659.11982.3d
The paper
MATTHEW, C. E. (2005). Calibration of Accelerometer Output for Adults. Medicine & Science in Sports & Exercise. https://doi.org/10.1249/01.mss.0000185659.11982.3d

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.