CoChat
Sign Up
Cited by 1,029Physical Activity and HealthCardiovascular and exercise physiologyContext-Aware Activity Recognition Systems

The DOI matches its Crossref record; 238 of the 238 references it cites were found in a registry or an index.

Guide to the Assessment of Physical Activity: Clinical and Research Applications: A Scientific Statement From the American Heart Association

Strath, Scott J., Kaminsky, Leonard A., Ainsworth, Barbara E., Ekelund, Ulf, Freedson, Patty S., Gary, Rebecca A., Richardson, Caroline R., Smith, Derek T., Swartz, Ann M.·2013·Circulation
DOI 10.1161/01.cir.0000435708.67487.da
Open this paper in CoChat — free account

Abstract

The deleterious health consequences of physical inactivity are vast, and they are of paramount clinical and research importance. Risk identification, benchmarks, efficacy, and evaluation of physical activity behavior change initiatives for clinicians and researchers all require a clear understanding of how to assess physical activity. In the present report, we have provided a clear rationale for the importance of assessing physical activity levels, and we have documented key concepts in understanding the different dimensions, domains, and terminology associated with physical activity measurement. The assessment methods presented allow for a greater understanding of the vast number of options available to clinicians and researchers when trying to assess physical activity levels in their patients or participants. The primary outcome desired is the main determining factor in the choice of physical activity assessment method. In combination with issues of feasibility/practicality, the availability of resources, and administration considerations, the desired outcome guides the choice of an appropriate assessment tool. The decision matrix, along with the accompanying tables, provides a mechanism for this selection that takes all of these factors into account. Clearly, the assessment method adopted and implemented will vary depending on circumstances, because there is no single best instrument appropriate for every situation. In summary, physical activity assessment should be considered a vital health measure that is tracked regularly over time. All other major modifiable cardiovascular risk factors (diabetes mellitus, hypertension, hypercholesterolemia, obesity, and smoking) are assessed routinely. Physical activity status should also be assessed regularly. Multiple physical activity assessment methods provide reasonably accurate outcome measures, with choices dependent on setting-specific resources and constraints. The present scientific statement provides a guide to allow professionals to make a goal-specific selection of a meaningful physical activity assessment method.

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 · 10.1161/01.cir.0000435708.67487.da

Cites

238 of 238 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

Items 201–238 of 238

Flagged first, then by citations

Research works printed but not linked: 2

  1. Schoenborn CA, Adams PE. Health behaviors of adults: United States, 2005–2007. Vital Health Stat 10. 2010;(245):1–132.
  2. Bassett DR, Strath SJ. Use of pedometers to assess physical activity. In:, Welk GJ, ed. Physical Activity Assessments for Health-Related Research. Champaign, IL: Human Kinetics;2002:163–177.

Cited by

Sorted by citations

See all 1,029

Related

See all

Metadata

Authors
Strath, S. J., Kaminsky, L. A., Ainsworth, B. E., Ekelund, U., Freedson, P. S., Gary, R. A., Richardson, C. R., Smith, D. T., & Swartz, A. M.
ORCID
Venue
Circulation
Publisher
Ovid Technologies (Wolters Kluwer Health)
Published
2013-11-12
Volume
128
Issue
20
Pages
2259-2279
ISSN
  • 0009-7322 (ISSN-L)
  • 1524-4539
DOI
10.1161/01.cir.0000435708.67487.da
OpenAlex
W2172173540
Cited by
1,029
References
238
Citations by year
2026: 47 · 2025: 67 · 2024: 86 · 2023: 103 · 2022: 111 · 2021: 102 · 2020: 96 · 2019: 85 · 2018: 86 · 2017: 85 · 2016: 72 · 2015: 46 · 2014: 37 · 2013: 3
FWCI
36.28
Type
journal article
Language
en
Open access
closed
Locations
  • Circulation (publishedVersion)
  • PubMed (publishedVersion)
Funders
Medical Research Council (MC_UU_12015/3)
Topics
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Physical Activity and Health
  • Health Sciences › Medicine › Physiology (medical) › Cardiovascular and exercise physiology
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Context-Aware Activity Recognition Systems
Keywords
physical activity measurement, physical inactivity, cardiovascular risk factors, exercise behavior change, decision matrix, physical activity monitoring, cardiovascular disease prevention
MeSH terms
American Heart Association, Cardiology, Cardiovascular Diseases, Humans, Life Style, Motor Activity, Risk Factors, United States, Risk Assessment

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