0
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Accelerometer measurement error in a randomized physical activity intervention trial in breast cancer survivors was nondifferential but attenuated the intervention effect

      research-article

      Read this article at

      ScienceOpenPublisherPMC
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Background

          Physical activity reduces morbidity and mortality risk in cancer survivors, but a meaningful proportion of this vulnerable population are physically inactive. Targeted interventions can help cancer survivors adopt a more active lifestyle, but the efficacy of these interventions must be rigorously evaluated in randomized controlled intervention trials. A major barrier to such trials involves the difficulty in obtaining unbiased estimates of physical activity in free-living conditions.

          Methods

          We conducted a randomized controlled trial of a 3-month intervention designed to increase physical activity vs. usual care in breast cancer survivors (n = 316). The primary outcome was change in physical activity as estimated by hip-worn accelerometer (MTI/Actigraph, models GT1M and GT3X). The trial included a sub-study (n = 106) wherein unbiased measures of total energy expenditure (doubly labeled water), and resting energy expenditure (indirect calorimetry) were collected. A linear mixed measurement error model characterized the structure of measurement error in accelerometry-estimated physical activity energy expenditure (PAEE), and corrected for bias in the estimated intervention effect due to measurement error.

          Results

          Bias in the accelerometer estimates was related to true PAEE ( p < 0.001) and baseline body mass index ( p < 0.001) but was not related to age ( p = 0.13). After correcting for measurement error, the estimated intervention effect at 3 months (change from baseline in PAEE in the intervention arm minus change in the control arm) was 77 kcal/day (95% confidence interval (CI) = 31–125), compared to 48 kcal/day (95% CI = 22–75) when measurement error was ignored. These results indicate a 20% (21%) increase in PAEE kcal x d −1 (kcal x kg −1 × d −1) at month 3 relative to baseline for the corrected model vs. 14% (15%) for the uncorrected model. There was no evidence that measurement error in accelerometry-estimated PAEE was differential (differed by treatment arm) in the trial (p = 0.86).

          Conclusions

          Measurement error in accelerometer-estimated PAEE can attenuate the effect size related to intervention effects in randomized controlled trials of physical activity interventions. Sub-studies that collect unbiased measures of PAEE can be used to correct for this short-coming.

          Trial registration

          ClinicalTrials.gov; NCT00929617; registered 06/26/2009; https://clinicaltrials.gov/study/NCT00929617

          Supplementary Information

          The online version contains supplementary material available at 10.1186/s12966-025-01760-5.

          Related collections

          Most cited references33

          • Record: found
          • Abstract: found
          • Article: not found

          Calibration of the Computer Science and Applications, Inc. accelerometer.

          We established accelerometer count ranges for the Computer Science and Applications, Inc. (CSA) activity monitor corresponding to commonly employed MET categories. Data were obtained from 50 adults (25 males, 25 females) during treadmill exercise at three different speeds (4.8, 6.4, and 9.7 km x h(-1)). Activity counts and steady-state oxygen consumption were highly correlated (r = 0.88), and count ranges corresponding to light, moderate, hard, and very hard intensity levels were or = 9499 cnts x min(-1), respectively. A model to predict energy expenditure from activity counts and body mass was developed using data from a random sample of 35 subjects (r2 = 0.82, SEE = 1.40 kcal x min(-1)). Cross validation with data from the remaining 15 subjects revealed no significant differences between actual and predicted energy expenditure at any treadmill speed (SEE = 0.50-1.40 kcal x min(-1)). These data provide a template on which patterns of activity can be classified into intensity levels using the CSA accelerometer.
            • Record: found
            • Abstract: not found
            • Article: not found

            New methods for calculating metabolic rate with special reference to protein metabolism.

              • Record: found
              • Abstract: not found
              • Article: not found

              Statistics Notes: Analysing controlled trials with baseline and follow up measurements

                Author and article information

                Contributors
                lqrogers@uabmc.edu
                Journal
                Int J Behav Nutr Phys Act
                Int J Behav Nutr Phys Act
                The International Journal of Behavioral Nutrition and Physical Activity
                BioMed Central (London )
                1479-5868
                26 May 2025
                26 May 2025
                2025
                : 22
                : 59
                Affiliations
                [1 ]Division of General Internal Medicine and Population Science, Department of Medicine, Heersink School of Medicine, University of Alabama at Birmingham, ( https://ror.org/008s83205) 1720 2ndAve S, MT 614, Birmingham, AL 35294-4410, Birmingham, AL USA
                [2 ]O’Neal Comprehensive Cancer Center at UAB, ( https://ror.org/03j18km61) Birmingham, AL USA
                [3 ]Biometry Research Group, Division of Cancer Prevention, National Cancer Institute, ( https://ror.org/040gcmg81) Bethesda, MD USA
                [4 ]Department of Health and Kinesiology, University of Illinois at Urbana-Champaign, ( https://ror.org/047426m28) Urbana, IL USA
                [5 ]The Cancer Center at Illinois, Urbana, IL USA
                [6 ]Faculty of Kinesiology, Sport, and Recreation, University of Alberta, ( https://ror.org/0160cpw27) Edmonton, AB Canada
                [7 ]Information Management Services, Inc., ( https://ror.org/020k7fn51) Calverton, MD USA
                [8 ]Department of Nutrition Sciences, School of Health Professions, University of Alabama at Birmingham, ( https://ror.org/008s83205) Birmingham, AL USA
                [9 ]Department of Kinesiology, School of Public Health – Bloomington, Indiana University, ( https://ror.org/02k40bc56) Bloomington, IN USA
                [10 ]Department of Statistics, Texas A&M University, ( https://ror.org/01f5ytq51) College Station, TX USA
                Author information
                http://orcid.org/0000-0003-4216-8381
                Article
                1760
                10.1186/s12966-025-01760-5
                12105316
                2e4ba796-7af6-4533-9103-bbf10346022f
                © The Author(s) 2025

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 16 September 2024
                : 3 May 2025
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/100000002, National Institutes of Health;
                Award ID: U01CA136859
                Award ID: R01CA136859
                Award ID: P30DK056336
                Award Recipient :
                Categories
                Research
                Custom metadata
                © BioMed Central Ltd., part of Springer Nature 2025

                Nutrition & Dietetics
                oncology,exercise,differential error,indirect calorimetry,intervention trials,measurement error

                Comments

                Comment on this article

                Related Documents Log