OBJECTIVES: The purpose of this study was to determine whether ActiGraph accelerometer activity counts and estimates of moderate-to-vigorous physical activity collected at a single larger epoch are comparable to those collected at smaller epochs reintegrated into a larger epoch. DESIGN: A cross-sectional study design. METHODS: Thirty-one preschoolers (3-5years) concurrently wore four accelerometers that were each initialized at four different epoch lengths (1s, 15s, 30s, and 60s) during a full preschool day. Counts collected at 1s, 15s, and 30s epoch were each reintegrated and compared to those collected at a larger epoch (e.g., counts from one 15s epoch vs. consecutive sum of counts from fifteen 1s epochs). Six sets of cut-points (Pate, Freedson, Sirard, Van Cauwenberghe, Evenson and Puyau) were applied to estimate moderate-to-vigorous physical activity minutes. Paired t-test and Cohen's d were used to compare group mean differences. Absolute percent errors Bland-Altman plots with limits of agreement were used to compare individual differences. RESULTS: Minimal group mean differences were found for counts and moderate-to-vigorous physical activity estimates between larger and reintegrated epochs. Relatively smaller absolute percent errors (6.2-9.2%) and limits of agreements (-15.52%, 18.00% to -28.27%, 28.02%) were observed for counts than absolute percent errors (10.1-50.3%) and limits of agreements (-27.3%, 33.3% to -156.9%, 137.9%) for moderate-to-vigorous physical activity estimates. CONCLUSIONS: Smaller individual differences in activity counts tended to yield larger individual variations in moderate-to-vigorous physical activity estimates, despite minimal group mean differences. Therefore, researchers reintegrating smaller epochs into a larger epoch should be conscious of possible differences in moderate-to-vigorous physical activity estimates obtained from a single larger epoch. Crown
OBJECTIVES: The purpose of this study was to determine whether ActiGraph accelerometer activity counts and estimates of moderate-to-vigorous physical activity collected at a single larger epoch are comparable to those collected at smaller epochs reintegrated into a larger epoch. DESIGN: A cross-sectional study design. METHODS: Thirty-one preschoolers (3-5years) concurrently wore four accelerometers that were each initialized at four different epoch lengths (1s, 15s, 30s, and 60s) during a full preschool day. Counts collected at 1s, 15s, and 30s epoch were each reintegrated and compared to those collected at a larger epoch (e.g., counts from one 15s epoch vs. consecutive sum of counts from fifteen 1s epochs). Six sets of cut-points (Pate, Freedson, Sirard, Van Cauwenberghe, Evenson and Puyau) were applied to estimate moderate-to-vigorous physical activity minutes. Paired t-test and Cohen's d were used to compare group mean differences. Absolute percent errors Bland-Altman plots with limits of agreement were used to compare individual differences. RESULTS: Minimal group mean differences were found for counts and moderate-to-vigorous physical activity estimates between larger and reintegrated epochs. Relatively smaller absolute percent errors (6.2-9.2%) and limits of agreements (-15.52%, 18.00% to -28.27%, 28.02%) were observed for counts than absolute percent errors (10.1-50.3%) and limits of agreements (-27.3%, 33.3% to -156.9%, 137.9%) for moderate-to-vigorous physical activity estimates. CONCLUSIONS: Smaller individual differences in activity counts tended to yield larger individual variations in moderate-to-vigorous physical activity estimates, despite minimal group mean differences. Therefore, researchers reintegrating smaller epochs into a larger epoch should be conscious of possible differences in moderate-to-vigorous physical activity estimates obtained from a single larger epoch. Crown
Authors: Michael W Beets; R Glenn Weaver; Gabrielle Turner-McGrievy; Jennifer Huberty; Dianne S Ward; Russell R Pate; Darcy Freedman; Brent Hutto; Justin B Moore; Matteo Bottai; Jessica Chandler; Keith Brazendale; Aaron Beighle Journal: Prev Med Date: 2016-07-07 Impact factor: 4.018
Authors: Keith Brazendale; Michael W Beets; Daniel B Bornstein; Justin B Moore; Russell R Pate; Robert G Weaver; Ryan S Falck; Jessica L Chandler; Lars B Andersen; Sigmund A Anderssen; Greet Cardon; Ashley Cooper; Rachel Davey; Karsten Froberg; Pedro C Hallal; Kathleen F Janz; Katarzyna Kordas; Susi Kriemler; Jardena J Puder; John J Reilly; Jo Salmon; Luis B Sardinha; Anna Timperio; Esther M F van Sluijs Journal: J Sci Med Sport Date: 2015-02-23 Impact factor: 4.319
Authors: Claudia S Leeger-Aschmann; Einat A Schmutz; Annina E Zysset; Tanja H Kakebeeke; Nadine Messerli-Bürgy; Kerstin Stülb; Amar Arhab; Andrea H Meyer; Simone Munsch; Oskar G Jenni; Jardena J Puder; Susi Kriemler Journal: BMC Public Health Date: 2019-05-06 Impact factor: 3.295