title: Accelerometer data treatment for adolescents: Fitting a piece of the puzzle.
abstract: This study aimed to assess the differences in participant retention and associations between physical activity and key variables when a range of accelerometer data inclusion criteria are employed. Data were drawn from 204 adolescents of Pacific Island heritage (survey, body composition, 7-day accelerometry) and their parents (date of birth, socioeconomic status) between October 2014 and February 2016 in Auckland, New Zealand. Data wear time criteria for inclusion were as follows: A) > = 10 h/weekday or > = 8 h weekend day, > = 5 days (at least one weekend day); B) > = 10 h/weekday or > = 8 h weekend day, > = 4 days; C) > = 7 h/day, > = 3 days; D) > = 10 h/day, > = 1 day. Overall, 49%, 62%, 88%, and 96% of participants met the criteria, respectively. Adjusted odds of meeting each criterion were examined using a multivariable logistic regression model. Almost 50% of participants were excluded by the most stringent inclusion criteria. Increased body fat percentage and proportion of time in moderate-to-vigorous activity were associated with decreased odds of meeting Criterions A and B. This research contributes to a growing understanding of the impact of differing accelerometer reduction approaches to sample retention and bias in adolescent physical activity research.
authors.affiliation: School of Nursing, The University of Auckland, Auckland, New Zealand.
authors.forename: Melody
authors.initials: M
authors.lastname: Smith
authors.affiliation: Department of Biostatistics and Epidemiology, Auckland University of Technology, Auckland, New Zealand.
authors.forename: Steve
authors.initials: S
authors.lastname: Taylor
authors.affiliation: Centre for Pacific Health and Development Research, Auckland University of Technology, Auckland, New Zealand.
authors.forename: Leon
authors.initials: L
authors.lastname: Iusitini
authors.affiliation: Human Potential Centre, Auckland University of Technology, Auckland, New Zealand.
authors.forename: Tom
authors.initials: T
authors.lastname: Stewart
authors.affiliation: Centre for Pacific Health and Development Research, Auckland University of Technology, Auckland, New Zealand.
authors.forename: Fa'asisila
authors.initials: F
authors.lastname: Savila
authors.affiliation: Centre for Pacific Health and Development Research, Auckland University of Technology, Auckland, New Zealand.
authors.forename: El-Shadan
authors.initials: ES
authors.lastname: Tautolo
authors.affiliation: School of Medicine, the University of Auckland, Auckland, New Zealand.
authors.forename: Lindsay
authors.initials: L
authors.lastname: Plank
authors.affiliation: Child Health Research Centre, Auckland University of Technology, Auckland, New Zealand.
authors.forename: Shabnam
authors.initials: S
authors.lastname: Jalili-Moghaddam
authors.affiliation: Centre for Pacific Health and Development Research, Auckland University of Technology, Auckland, New Zealand.
authors.forename: Janis
authors.initials: J
authors.lastname: Paterson
authors.affiliation: Centre for Pacific Health and Development Research, Auckland University of Technology, Auckland, New Zealand.
authors.forename: Elaine
authors.initials: E
authors.lastname: Rush
keywords: Accelerometry; Adolescents; Measure; Pacific health; Physical activity