Cited by 139Physical Activity and HealthContext-Aware Activity Recognition SystemsMobile Health and mHealth Applications

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Measuring physical activity during pregnancy

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Harrison, Cheryce L, Thompson, Russell G, Teede, Helena J, Lombard, Catherine B·2011·International Journal of Behavioral Nutrition and Physical Activity

DOI 10.1186/1479-5868-8-19PMC PMC3069935

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Abstract

Background: Currently, little is known about physical activity patterns in pregnancy with prior estimates predominantly based on subjective assessment measures that are prone to error. Given the increasing obesity rates and the importance of physical activity in pregnancy, we evaluated the relationship and agreement between subjective and objective physical activity assessment tools to inform researchers and clinicians on optimal assessment of physical activity in pregnancy. Methods: 48 pregnant women between 26-28 weeks gestation were recruited. The Yamax pedometer and Actigraph accelerometer were worn for 5-7 days under free living conditions and thereafter the International Physical Activity Questionnaire (IPAQ) was completed. IPAQ and pedometer estimates of activity were compared to the more robust and accurate accelerometer data. Results: Of 48 women recruited, 30 women completed the study (mean age: 33.6 ± 4.7 years; mean BMI: 31.2 ± 5.1 kg/m 2) and 18 were excluded (failure to wear [n = 8] and incomplete data [n = 10]). The accelerometer and pedometer correlated significantly on estimation of daily steps (ρ = 0.69, p < 0.01) and had good absolute agreement with low systematic error (mean difference: 505 ± 1498 steps/day). Accelerometer and IPAQ estimates of total, light and moderate Metabolic Equivalent minutes/day (MET min-1 day-1) were not significantly correlated and there was poor absolute agreement. Relative to the accelerometer, the IPAQ under predicted daily total METs (105.76 ± 259.13 min-1 day-1) and light METs (255.55 ± 128.41 min-1 day-1) and over predicted moderate METs (-112.25 ± 166.41 min-1 day-1). Conclusion: Compared with the accelerometer, the pedometer appears to provide a reliable estimate of physical activity in pregnancy, whereas the subjective IPAQ measure performed less accurately in this setting. Future research measuring activity in pregnancy should optimally encompass objective measures of physical activity. Trial Registration: Australian New Zealand Clinical Trial Registry Number: ACTRN12608000233325. Registered 7/5/2008.

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Figure 1 CONSORT criteria for included participants.CC BY · PubMed Central

Figure 2 Bland-Altman plots of physical activity measurement agreement between the Actigraph accelerometer and pedometer steps (A); Actigraph accelerometer and IPAQ mean daily total MET min-1 (B); light MET min-1 (C) and moderate MET min-1 (D).CC BY · PubMed Central

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Authors: Harrison, C. L., Thompson, R. G., Teede, H. J., & Lombard, C. B.
Affiliations: Jean Hailes (AU)
Monash University (AU)
Corresponding author: Lombard, Catherine B
ORCID: Harrison, Cheryce L
Thompson, Russell G
Teede, Helena J
Lombard, Catherine B
Venue: International Journal of Behavioral Nutrition and Physical Activity
Publisher: Springer Science and Business Media LLC
Published: 2011-03-21
Volume: 8
Issue: 1
Pages: 19-19
ISSN: 1479-5868 (ISSN-L)
DOI: 10.1186/1479-5868-8-19
PMC: PMC3069935
OpenAlex: W2114726529
Cited by: 139
References: 50
Citations by year: 2026: 6 · 2025: 5 · 2024: 3 · 2023: 11 · 2022: 8 · 2021: 11 · 2020: 11 · 2019: 11 · 2018: 15 · 2017: 11 · 2016: 7 · 2015: 12 · 2014: 8 · 2013: 11 · 2012: 8
FWCI: 6.11
Type: journal article
Language: en
Open access: gold
doi.org
Licence: cc-by
Locations: International Journal of Behavioral Nutrition and Physical Activity (publishedVersion, cc-by)
PubMed Central (publishedVersion, cc-by)
PubMed (publishedVersion)
Minerva Access (University of Melbourne) (submittedVersion, cc-by)
DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders: Eli Lilly and Company
Jack Brockhoff Foundation
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 › Health Professions › General Health Professions › Mobile Health and mHealth Applications
Keywords: exercise during pregnancy, accelerometer, pedometers, International Physical Activity Questionnaire, daily step count, metabolic equivalent minutes, gestational obesity
MeSH terms: Energy Metabolism, Female, Humans, Motor Activity, Pregnancy, Surveys and Questionnaires, Reproducibility of Results, Exercise, Walking, Monitoring, Ambulatory, Actigraphy, Self Report

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