Kelly R Evenson1, Daniela Sotres-Alvarez, Y U Deng, Simon J Marshall, Carmen R Isasi, Dale W Esliger, Sonia Davis. 1. 1Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina-Chapel Hill, Chapel Hill, NC; 2Department of Biostatistics, Gillings School of Global Public Health, University of North Carolina-Chapel Hill, Chapel Hill, NC; 3Department of Family and Preventive Medicine, University of California, San Diego, La Jolla, CA; 4Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY; 5School of Sport, Exercise and Health Sciences, Loughborough University, Loughborough, England, UNITED KINGDOM.
Abstract
PURPOSE: This study described participant adherence to wearing the accelerometer and accelerometer performance in a cohort study of adults. METHODS: From 2008 to 2011, 16,415 US Hispanic/Latino adults age 18-74 yr enrolled in the Hispanic Community Health Study/Study of Latinos. Immediately after the baseline visit, participants wore an Actical accelerometer for 1 wk. This study explored correlates of accelerometer participation and adherence, defined as wearing it for at least three of a possible six days for ≥10 h·d. Accelerometer performance was assessed by exploring the number of different values of accelerometer counts per minute for each participant. RESULTS: Overall, 92.3% (n = 15,153) had at least 1 d with accelerometer data and 77.7% (n = 12,750) were adherent. Both accelerometer participation and adherence were higher among participants who were married or partnered, reported a higher household income, were first-generation immigrants, or reported lower sitting time. Participation was also higher among those with no stair limitations. Adherence was higher among participants who were male, older, employed or retired, not US born, preferred Spanish over English, reported higher work activity or lower recreational activity, and with a lower body mass index. Among the sample that met the adherence definition, the maximum recorded count per minute was 12,000, and there were a total of 5846 different counts per minute. On average, participants had 112.5 different counts per minute over 6 d (median, 106; interquartile range, 91-122). The number of different counts per minute was higher among men, younger ages, normal weight, and those with higher accelerometer-assessed physical activity. CONCLUSION: Several correlates differed between accelerometer participation and adherence. These characteristics could be targeted in future studies to improve accelerometer wear. The performance of the accelerometer provided insight into creating a more accurate nonwear algorithm.
PURPOSE: This study described participant adherence to wearing the accelerometer and accelerometer performance in a cohort study of adults. METHODS: From 2008 to 2011, 16,415 US Hispanic/Latino adults age 18-74 yr enrolled in the Hispanic Community Health Study/Study of Latinos. Immediately after the baseline visit, participants wore an Actical accelerometer for 1 wk. This study explored correlates of accelerometer participation and adherence, defined as wearing it for at least three of a possible six days for ≥10 h·d. Accelerometer performance was assessed by exploring the number of different values of accelerometer counts per minute for each participant. RESULTS: Overall, 92.3% (n = 15,153) had at least 1 d with accelerometer data and 77.7% (n = 12,750) were adherent. Both accelerometer participation and adherence were higher among participants who were married or partnered, reported a higher household income, were first-generation immigrants, or reported lower sitting time. Participation was also higher among those with no stair limitations. Adherence was higher among participants who were male, older, employed or retired, not US born, preferred Spanish over English, reported higher work activity or lower recreational activity, and with a lower body mass index. Among the sample that met the adherence definition, the maximum recorded count per minute was 12,000, and there were a total of 5846 different counts per minute. On average, participants had 112.5 different counts per minute over 6 d (median, 106; interquartile range, 91-122). The number of different counts per minute was higher among men, younger ages, normal weight, and those with higher accelerometer-assessed physical activity. CONCLUSION: Several correlates differed between accelerometer participation and adherence. These characteristics could be targeted in future studies to improve accelerometer wear. The performance of the accelerometer provided insight into creating a more accurate nonwear algorithm.
Authors: Louise C Mâsse; Bernard F Fuemmeler; Cheryl B Anderson; Charles E Matthews; Stewart G Trost; Diane J Catellier; Margarita Treuth Journal: Med Sci Sports Exerc Date: 2005-11 Impact factor: 5.411
Authors: Richard P Troiano; David Berrigan; Kevin W Dodd; Louise C Mâsse; Timothy Tilert; Margaret McDowell Journal: Med Sci Sports Exerc Date: 2008-01 Impact factor: 5.411
Authors: Kelly R Evenson; Elva M Arredondo; Mercedes R Carnethon; Alan M Delamater; Linda C Gallo; Carmen R Isasi; Krista M Perreira; Samantha A Foti; Linda VAN Horn; Denise C Vidot; Daniela Sotres-Alvarez Journal: Med Sci Sports Exerc Date: 2019-05 Impact factor: 5.411
Authors: Chad D Rethorst; Ashley E Moncrieft; Marc D Gellman; Elva M Arredondo; Christina Buelna; Shelia F Castañeda; Martha L Daviglus; Unab I Khan; Krista M Perreira; Daniela Sotres-Alvarez; Mark Stoutenberg Journal: J Phys Act Health Date: 2017-04-19
Authors: Jonathan T Unkart; Matthew A Allison; Humberto Parada; Michael H Criqui; Qibin Qi; Keith M Diaz; Jordan A Carlson; Daniela Sotres-Alvarez; Robert J Ostfeld; Leopoldo Raij; John Bellettiere Journal: Am Heart J Date: 2020-02-08 Impact factor: 4.749
Authors: Linda C Gallo; Jordan A Carlson; Daniela Sotres-Alvarez; James F Sallis; Marta M Jankowska; Scott C Roesch; Franklyn Gonzalez; Carrie M Geremia; Gregory A Talavera; Tasi M Rodriguez; Sheila F Castañeda; Matthew A Allison Journal: Ann Epidemiol Date: 2018-11-12 Impact factor: 3.797
Authors: Elizabeth Vásquez; Garrett Strizich; Linda Gallo; Simon J Marshall; Gina C Merchant; Rosenda Murillo; Frank J Penedo; Christian Salazar; Daniela Sotres-Alvarez; Benjamin A Shaw; Carmen R Isasi Journal: J Phys Act Health Date: 2015-07-14
Authors: Keith M Diaz; David J Krupka; Melinda J Chang; Ian M Kronish; Natalie Moise; Jeff Goldsmith; Joseph E Schwartz Journal: J Sports Sci Date: 2017-02-23 Impact factor: 3.337
Authors: Keith M Diaz; Jeff Goldsmith; Heather Greenlee; Garrett Strizich; Qibin Qi; Yasmin Mossavar-Rahmani; Denise C Vidot; Christina Buelna; Carrie E Brintz; Tali Elfassy; Linda C Gallo; Martha L Daviglus; Daniela Sotres-Alvarez; Robert C Kaplan Journal: Circulation Date: 2017-08-23 Impact factor: 29.690
Authors: Elva M Arredondo; Jessica Haughton; Guadalupe X Ayala; Donald J Slymen; James F Sallis; Kari Burke; Christina Holub; Dayana Chanson; Lilian G Perez; Rodrigo Valdivia; Sherry Ryan; John Elder Journal: Contemp Clin Trials Date: 2015-09-08 Impact factor: 2.226
Authors: Elva M Arredondo; Daniela Sotres-Alvarez; Mark Stoutenberg; Sonia M Davis; Noe C Crespo; Mercedes R Carnethon; Sheila F Castañeda; Carmen R Isasi; Rebeca A Espinoza; Martha L Daviglus; Lilian G Perez; Kelly R Evenson Journal: Am J Prev Med Date: 2015-11-18 Impact factor: 5.043