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Accelerometer data treatment for adolescents: Fitting a piece of the puzzle

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 accele...

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Autores principales: Smith, Melody, Taylor, Steve, Iusitini, Leon, Stewart, Tom, Savila, Fa'asisila, Tautolo, El-Shadan, Plank, Lindsay, Jalili-Moghaddam, Shabnam, Paterson, Janis, Rush, Elaine
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5241576/
https://www.ncbi.nlm.nih.gov/pubmed/28101444
http://dx.doi.org/10.1016/j.pmedr.2016.12.010
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author Smith, Melody
Taylor, Steve
Iusitini, Leon
Stewart, Tom
Savila, Fa'asisila
Tautolo, El-Shadan
Plank, Lindsay
Jalili-Moghaddam, Shabnam
Paterson, Janis
Rush, Elaine
author_facet Smith, Melody
Taylor, Steve
Iusitini, Leon
Stewart, Tom
Savila, Fa'asisila
Tautolo, El-Shadan
Plank, Lindsay
Jalili-Moghaddam, Shabnam
Paterson, Janis
Rush, Elaine
author_sort Smith, Melody
collection PubMed
description 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.
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spelling pubmed-52415762017-01-18 Accelerometer data treatment for adolescents: Fitting a piece of the puzzle Smith, Melody Taylor, Steve Iusitini, Leon Stewart, Tom Savila, Fa'asisila Tautolo, El-Shadan Plank, Lindsay Jalili-Moghaddam, Shabnam Paterson, Janis Rush, Elaine Prev Med Rep Short Communication 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. Elsevier 2016-12-29 /pmc/articles/PMC5241576/ /pubmed/28101444 http://dx.doi.org/10.1016/j.pmedr.2016.12.010 Text en © 2017 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Short Communication
Smith, Melody
Taylor, Steve
Iusitini, Leon
Stewart, Tom
Savila, Fa'asisila
Tautolo, El-Shadan
Plank, Lindsay
Jalili-Moghaddam, Shabnam
Paterson, Janis
Rush, Elaine
Accelerometer data treatment for adolescents: Fitting a piece of the puzzle
title Accelerometer data treatment for adolescents: Fitting a piece of the puzzle
title_full Accelerometer data treatment for adolescents: Fitting a piece of the puzzle
title_fullStr Accelerometer data treatment for adolescents: Fitting a piece of the puzzle
title_full_unstemmed Accelerometer data treatment for adolescents: Fitting a piece of the puzzle
title_short Accelerometer data treatment for adolescents: Fitting a piece of the puzzle
title_sort accelerometer data treatment for adolescents: fitting a piece of the puzzle
topic Short Communication
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5241576/
https://www.ncbi.nlm.nih.gov/pubmed/28101444
http://dx.doi.org/10.1016/j.pmedr.2016.12.010
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