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1
Co-creating a Theory of Change to advance COVID-19 testing and vaccine uptake in underserved communities.
Stadnick, Nicole A; Cain, Kelli L; Oswald, William. - : eScholarship, University of California, 2022
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2
Contextual factors related to implementation of classroom physical activity breaks
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3
Correlates of agreement between accelerometry and self-reported physical activity
Cerin, Ester; Cain, Kelli L.; Oyeyemi, Adewale L.. - : Lippincott Williams & Wilkins, 2016
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4
Correlates of agreement between accelerometry and self-reported physical activity
In: Medicine and Science in Sports and Exercise, Vol. 48, no. 6 (Jun 2016), pp. 1075-1084 (2016)
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Correlates of agreement between accelerometry and self-reported physical activity
Cerin, Ester; Cain, Kelli L.; Oyeyemi, Adewale L.; Owen, Neville; Aguinaga Ontoso, Inés. - : Wolters Kluwer. : American College of Sports Medicine
Abstract: Purpose: Understanding factors that influence accurate assessment of physical activity (PA) and sedentary behavior (SB) is important to measurement development, epidemiologic studies, and interventions. This study examined agreement between self-reported (International Physical Activity Questionnaire—Long Form[IPAQLF]) and accelerometry-based estimates of PA and SB across six countries and identified correlates of between-method agreement. Methods: Self-report and objective (accelerometry-based) PA and SB data were collected in 2002–2011 from 3865 adult participants in eight cities from six countries (Belgium, Czech Republic, Denmark, Spain, United Kingdom, and United States). Between-method relative agreement (correlation) and absolute disagreement (mean difference between conceptually and intensity-matched IPAQ-LF and accelerometry-based PA and SB variables) were estimated. Also, sociodemographic characteristics and PA patterns were examined as correlates of betweenmethod agreement. Results: Observed relative agreement (relationships of IPAQ-LF with accelerometry-based PA and SB variables) was small to moderate (r = 0.05–0.37) and was moderated by sociodemographic (age, sex, weight status, and education) and behavioral (PAtype) factors. The absolute disagreement was large, with participants self-reporting higher PA intensity and total time in moderate-tovigorous-intensity PA than accelerometry. Also, self-reported sitting time was lower than accelerometry-based sedentary behavior. After adjusting for sociodemographic and behavioral factors, the absolute disagreement between pairs of IPAQ-LF and accelerometry-based PA variables remained significantly different across cities/countries. Conclusions: Present findings suggest systematic cultural and/or linguistic and sociodemographic differences in absolute agreement between the IPAQ-LF and the accelerometry-based PA and SB variables. These results have implications for the interpretation of international PA and SB data and correlate/determinant studies. They call for further efforts to improve such measures. ; This work was supported by the National Cancer Institute of the National Institutes of Health (R01 CA127296). US data collection and multisite coordinating center processing was supported by the National Institutes of Health (grant nos. R01 HL67350 [NHLBI] and R01 CA127296 [National Cancer Institute] to J.F.S). E.C. is supported by an Australian Research Council Future Fellowship (FT no. 140100085). The contributions of N.O. were supported by an NHMRC Senior Principal Research Fellowship (no. 1003960) and by the Victorian Government's Operational Infrastructure Support Program. The Danish study was partly funded by the Municipality of Aarhus. Data collection in the Czech Republic was supported by the Ministry of Education, Youth and Sports (grant no. MSM 6198959221). The United Kingdom study was funded by the Medical Research Council under the National Preventive Research Initiative. The Spanish study was partially founded by the Navarra Government Health Department (grant no. 02/09).
Keyword: Exercise; International; International physical activity questionnaire; Long form; Measurement; Sedentary time; Sociodemographic factors
URL: https://doi.org/10.1249/MSS.0000000000000870
https://hdl.handle.net/2454/38295
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