Cited by 480Physical Activity and HealthContext-Aware Activity Recognition SystemsCardiovascular and exercise physiology

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How many days of pedometer monitoring predict weekly physical activity in adults?

TUDORLOCKE, C, BURKETT, L, REIS, J, AINSWORTH, B, MACERA, C, WILSON, D·2005·Preventive Medicine

DOI 10.1016/j.ypmed.2004.06.003

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Abstract

Background The study purpose was to establish the number (and type) of days needed to estimate mean pedometer-determined steps/day in a field setting.Methods Seven days of data were collected from 90 participants (33 males, age = 49.1 +/- 16.2 years, BMI = 27.2 +/- 4.1 kg/m(2); 57 females, age = 44.8 +/- 16.9 years, BMI = 27.0 +/- 5.9 kg/m(2)). Mean steps/day were computed for all 7 days (the criterion), each single day, and combinations of days. Analyses included repeated measures ANOVA, intra-class correlations (ICC), and regression.Results There was a significant difference (P < 0.001) between days. The difference was limited to Sunday and accounted for 5% of the variance. ICC analyses indicated a minimum of 3 days is necessary to achieve a reliability of 0.80. The adjusted R(2) was 0.79 for a single day (specifically Wednesday), 0.89 for 2 days (Wednesday, Thursday), and 0.94 for 3 days (Wednesday, Thursday, Friday). Sunday was the last day to enter the model.Conclusions Although there is a statistical difference between days, there is little practical difference, and the primary distinction appears limited to Sunday. Although a single day of collection is not acceptable, any 3 days can provide a sufficient estimate.

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Authors: TUDORLOCKE, C., BURKETT, L., REIS, J., AINSWORTH, B., MACERA, C., & WILSON, D.
Affiliations: Arizona State University (US)
San Diego State University (US)
University of South Carolina (US)
ORCID: WILSON, D
Venue: Preventive Medicine
Publisher: Elsevier BV
Published: 2005-03
Volume: 40
Issue: 3
Pages: 293-298
ISSN: 0091-7435 (ISSN-L)
DOI: 10.1016/j.ypmed.2004.06.003
OpenAlex: W2039648153
Cited by: 479
References: 29
Citations by year: 2026: 7 · 2025: 16 · 2024: 17 · 2023: 11 · 2022: 28 · 2021: 14 · 2020: 22 · 2019: 27 · 2018: 23 · 2017: 19 · 2016: 25 · 2015: 33 · 2014: 32 · 2013: 33 · 2012: 26
FWCI: 6.80
Type: journal article
Language: en
Open access: closed
Licence: www.elsevier.com/tdm/userlicense/1.0/ (tdm)
Locations: Preventive Medicine (publishedVersion)
PubMed (publishedVersion)
Funders: University of South Carolina
Centers for Disease Control and Prevention
Topics: Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Physical Activity and Health
Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Context-Aware Activity Recognition Systems
Health Sciences › Medicine › Physiology (medical) › Cardiovascular and exercise physiology
Keywords: pedometer monitoring, daily step count, physical activity estimation, measurement reliability, intra-class correlation, weekly physical activity, adults
MeSH terms: Adult, Female, Humans, Male, Middle Aged, Monitoring, Physiologic, Motor Activity, Predictive Value of Tests, Reference Standards, Regression Analysis, Time Factors, Reproducibility of Results, Walking

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How many days of pedometer monitoring predict weekly physical activity in adults?

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