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Cited by 376Physical Activity and HealthElectronic Health Records SystemsMedical Coding and Health Information

The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.

Initial Validation of an Exercise “Vital Sign” in Electronic Medical Records

COLEMAN, KAREN JACQUELINE, NGOR, EUNIS, REYNOLDS, KRISTI, QUINN, VIRGINIA P., KOEBNICK, CORINNA, YOUNG, DEBORAH ROHM, STERNFELD, BARBARA, SALLIS, ROBERT E.·2012·Medicine & Science in Sports & Exercise
DOI 10.1249/mss.0b013e3182630ec1
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Abstract

PURPOSE: The objective of this study is to describe the face and discriminant validity of an exercise vital sign (EVS) for use in an outpatient electronic medical record. METHODS: Eligible patients were 1,793,385 adults 18 yr and older who were members of a large health care system in Southern California. To determine face validity, median total self-reported minutes per week of exercise as measured by the EVS were compared with findings from national population-based surveys. To determine discriminant validity, multivariate Poisson regression models with robust variance estimation were used to examine the ability of the EVS to discriminate between groups of patients with differing physical activity (PA) levels on the basis of demographics and health status. RESULTS: After 1.5 yr of implementation, 86% (1,537,798) of all eligible patients had an EVS in their electronic medical record. Overall, 36.3% of patients were completely inactive (0 min of exercise per week), 33.3% were insufficiently active (more than 0 but less than 150 min·wk), and 30.4% were sufficiently active (150 min or more per week). As compared with national population-based surveys, patient reports of PA were lower but followed similar patterns. As hypothesized, patients who were older, obese, of a racial/ethnic minority, and had higher disease burdens were more likely to be inactive, suggesting that the EVS has discriminant validity. CONCLUSIONS: We found that the EVS has good face and discriminant validity and may provide more conservative estimates of PA behavior when compared with national surveys. The EVS has the potential to provide information about the relationship between exercise and health care use, cost, and chronic disease that has not been previously available at the population level.

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Crossref · 10.1249/mss.0b013e3182630ec1

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Metadata

Authors
COLEMAN, K. J., NGOR, E., REYNOLDS, K., QUINN, V. P., KOEBNICK, C., YOUNG, D. R., STERNFELD, B., & SALLIS, R. E.
Affiliations
  • Kaiser Permanente (US)
  • Kaiser Permanente Fontana Medical Center (US)
ORCID
Venue
Medicine & Science in Sports & Exercise
Publisher
Ovid Technologies (Wolters Kluwer Health)
Published
2012-11
Volume
44
Issue
11
Pages
2071-2076
ISSN
0195-9131 (ISSN-L)
DOI
10.1249/mss.0b013e3182630ec1
OpenAlex
W2066565684
Cited by
376
References
8
Citations by year
2026: 27 · 2025: 29 · 2024: 37 · 2023: 34 · 2022: 34 · 2021: 34 · 2020: 39 · 2019: 26 · 2018: 21 · 2017: 21 · 2016: 19 · 2015: 19 · 2014: 26 · 2013: 8 · 2012: 1
FWCI
11.58
Type
journal article
Language
en
Open access
closed
Locations
  • Medicine & Science in Sports & Exercise (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Physical Activity and Health
  • Health Sciences › Health Professions › Health Information Management › Electronic Health Records Systems
  • Health Sciences › Health Professions › Health Information Management › Medical Coding and Health Information
Keywords
physical activity, electronic health records, face validity, discriminant validity, self-reported exercise, physical inactivity, health disparities, obesity, chronic disease burden, outpatient care
MeSH terms
Adolescent, Adult, Aged, Ambulatory Care, California, Counseling, Female, Humans, Male, Middle Aged, Physical Fitness, Surveys and Questionnaires, Health Behavior, Exercise, Discriminant Analysis, Poisson Distribution, Young Adult, Electronic Health Records

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