Dataset Information

Physical Activity Change in an RCT: Comparison of Measurement Methods.

ABSTRACT: Objectives: We aimed to quantify the agreement between self-report, standard cut-point accelerometer, and machine learning accelerometer estimates of physical activity (PA), and exam- ine how agreement changes over time among older adults in an intervention setting. Methods: Data were from a randomized weight loss trial that encouraged increased PA among 333 postmenopausal breast cancer survivors. PA was estimated using accelerometry and a validated questionnaire at baseline and 6-months. Accelerometer data were processed using standard cut-points and a validated machine learning algorithm. Agreement of PA at each time-point and change was assessed using mixed effects regression models and concordance correlation. Results: At baseline, self-report and machine learning provided similar PA estimates (mean dif- ference = 11.5 min/day) unlike self-report and standard cut-points (mean difference = 36.3 min/ day). Cut-point and machine learning methods assessed PA change over time more similarly than other comparisons. Specifically, the mean difference of PA change for the cut-point versus machine learning methods was 5.1 min/day for intervention group and 2.9 in controls, whereas it was ? 24.7 min/day for other comparisons. Conclusions: Intervention researchers are facing the issue of self-report measures introducing bias and accelerometer cut-points being insensi- tive. Machine learning approaches may bridge this gap.

SUBMITTER: Nelson SH

PROVIDER: S-EPMC6812571 | biostudies-literature | 2019 May

REPOSITORIES: biostudies-literature

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Physical Activity Change in an RCT: Comparison of Measurement Methods.

Nelson Sandahl H SH Natarajan Loki L Patterson Ruth E RE Hartman Sheri J SJ Thompson Caroline A CA Godbole Suneeta V SV Johnson Eileen E Marinac Catherine R CR Kerr Jacqueline J

American journal of health behavior 20190501 3

<b>Objectives:</b> We aimed to quantify the agreement between self-report, standard cut-point accelerometer, and machine learning accelerometer estimates of physical activity (PA), and exam- ine how agreement changes over time among older adults in an intervention setting. <b>Methods:</b> Data were from a randomized weight loss trial that encouraged increased PA among 333 postmenopausal breast cancer survivors. PA was estimated using accelerometry and a validated questionnaire at baseline and 6- ...[more]

PMID: 31046885

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Project description:INTRODUCTION:Increasing children's cycling to school and physical activity are national health goals. The objective was to conduct an RCT of a bicycle train program to assess impact on students' school travel mode and moderate-to-vigorous physical activity (MVPA). STUDY DESIGN:Pilot cluster RCT with randomization at the school level and N=54 participants. SETTING/PARTICIPANTS:Fourth-fifth graders from four public schools serving low-income families in Seattle, WA in 2014 with analyses in 2015-2016. All participants were provided and fitted with bicycles, safety equipment (helmets, locks, and lights), and a 2- to 3-hour bicycle safety course. INTERVENTION:The intervention was a bicycle train offered daily (i.e., students volunteered to cycle with study staff to and from school). MAIN OUTCOME MEASURES:Time 1 assessments occurred prior to randomization. Time 2 assessments occurred after 3-5 weeks of the intervention (i.e., during Weeks 4-6 of the intervention period). The primary outcome was the percentage of daily commutes to school by cycling measured by validated survey. MVPA, measured by accelerometry and GPS units and processed by machine learning algorithms, was a secondary outcome. RESULTS:For two separate adjusted repeated measures linear mixed effects models in which students (N=54) were nested within schools (N=4), intervention participants had: (1) an absolute increase in mean percentage of daily commutes by cycling of 44.9%, (95% CI=26.8, 63.0) and (2) an increase in mean MVPA of 21.6 minutes/day, (95% CI=8.7, 34.6) from Time 1 to Time 2 compared with controls. CONCLUSIONS:A pilot bicycle train intervention increased cycling to school and daily MVPA in the short term among diverse, inner-city elementary school students. The bicycle train intervention appears promising and warrants further experimental trials among large, diverse samples with longer follow-up. TRIAL REGISTRATION:This study is registered at www.clinicaltrials.gov NCT02006186.

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Physical Activity Change in an RCT: Comparison of Measurement Methods.

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Physical Activity Change in an RCT: Comparison of Measurement Methods.

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