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Design and Evaluation of a Computer-Based 24-Hour Physical Activity Recall (cpar24) Instrument

BACKGROUND: Widespread access to the Internet and an increasing number of Internet users offers the opportunity of using Web-based recalls to collect detailed physical activity data in epidemiologic studies. OBJECTIVE: The aim of this investigation was to evaluate the validity and reliability of a c...

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Autores principales: Kohler, Simone, Behrens, Gundula, Olden, Matthias, Baumeister, Sebastian E, Horsch, Alexander, Fischer, Beate, Leitzmann, Michael F
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5470012/
https://www.ncbi.nlm.nih.gov/pubmed/28559229
http://dx.doi.org/10.2196/jmir.7620
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author Kohler, Simone
Behrens, Gundula
Olden, Matthias
Baumeister, Sebastian E
Horsch, Alexander
Fischer, Beate
Leitzmann, Michael F
author_facet Kohler, Simone
Behrens, Gundula
Olden, Matthias
Baumeister, Sebastian E
Horsch, Alexander
Fischer, Beate
Leitzmann, Michael F
author_sort Kohler, Simone
collection PubMed
description BACKGROUND: Widespread access to the Internet and an increasing number of Internet users offers the opportunity of using Web-based recalls to collect detailed physical activity data in epidemiologic studies. OBJECTIVE: The aim of this investigation was to evaluate the validity and reliability of a computer-based 24-hour physical activity recall (cpar24) instrument with respect to the recalled 24-h period. METHODS: A random sample of 67 German residents aged 22 to 70 years was instructed to wear an ActiGraph GT3X+ accelerometer for 3 days. Accelerometer counts per min were used to classify activities as sedentary (<100 counts per min), light (100-1951 counts per min), and moderate to vigorous (≥1952 counts per min). On day 3, participants were also requested to specify the type, intensity, timing, and context of all activities performed during day 2 using the cpar24. Using metabolic equivalent of task (MET), the cpar24 activities were classified as sedentary (<1.5 MET), light (1.5-2.9 MET), and moderate to vigorous (≥3.0 MET). The cpar24 was administered twice at a 3-h interval. The Spearman correlation coefficient (r) was used as primary measure of concurrent validity and test-retest reliability. RESULTS: As compared with accelerometry, the cpar24 underestimated light activity by −123 min (median difference, P difference <.001) and overestimated moderate to vigorous activity by 89 min (P difference <.001). By comparison, time spent sedentary assessed by the 2 methods was similar (median difference=+7 min, P difference=.39). There was modest agreement between the cpar24 and accelerometry regarding sedentary (r=.54), light (r=.46), and moderate to vigorous (r=.50) activities. Reliability analyses revealed modest to high intraclass correlation coefficients for sedentary (r=.75), light (r=.65), and moderate to vigorous (r=.92) activities and no statistically significant differences between replicate cpar24 measurements (median difference for sedentary activities=+10 min, for light activities=−5 min, for moderate to vigorous activities=0 min, all P difference ≥.60). CONCLUSION: These data show that the cpar24 is a valid and reproducible Web-based measure of physical activity in adults.
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spelling pubmed-54700122017-06-29 Design and Evaluation of a Computer-Based 24-Hour Physical Activity Recall (cpar24) Instrument Kohler, Simone Behrens, Gundula Olden, Matthias Baumeister, Sebastian E Horsch, Alexander Fischer, Beate Leitzmann, Michael F J Med Internet Res Original Paper BACKGROUND: Widespread access to the Internet and an increasing number of Internet users offers the opportunity of using Web-based recalls to collect detailed physical activity data in epidemiologic studies. OBJECTIVE: The aim of this investigation was to evaluate the validity and reliability of a computer-based 24-hour physical activity recall (cpar24) instrument with respect to the recalled 24-h period. METHODS: A random sample of 67 German residents aged 22 to 70 years was instructed to wear an ActiGraph GT3X+ accelerometer for 3 days. Accelerometer counts per min were used to classify activities as sedentary (<100 counts per min), light (100-1951 counts per min), and moderate to vigorous (≥1952 counts per min). On day 3, participants were also requested to specify the type, intensity, timing, and context of all activities performed during day 2 using the cpar24. Using metabolic equivalent of task (MET), the cpar24 activities were classified as sedentary (<1.5 MET), light (1.5-2.9 MET), and moderate to vigorous (≥3.0 MET). The cpar24 was administered twice at a 3-h interval. The Spearman correlation coefficient (r) was used as primary measure of concurrent validity and test-retest reliability. RESULTS: As compared with accelerometry, the cpar24 underestimated light activity by −123 min (median difference, P difference <.001) and overestimated moderate to vigorous activity by 89 min (P difference <.001). By comparison, time spent sedentary assessed by the 2 methods was similar (median difference=+7 min, P difference=.39). There was modest agreement between the cpar24 and accelerometry regarding sedentary (r=.54), light (r=.46), and moderate to vigorous (r=.50) activities. Reliability analyses revealed modest to high intraclass correlation coefficients for sedentary (r=.75), light (r=.65), and moderate to vigorous (r=.92) activities and no statistically significant differences between replicate cpar24 measurements (median difference for sedentary activities=+10 min, for light activities=−5 min, for moderate to vigorous activities=0 min, all P difference ≥.60). CONCLUSION: These data show that the cpar24 is a valid and reproducible Web-based measure of physical activity in adults. JMIR Publications 2017-05-30 /pmc/articles/PMC5470012/ /pubmed/28559229 http://dx.doi.org/10.2196/jmir.7620 Text en ©Simone Kohler, Gundula Behrens, Matthias Olden, Sebastian E Baumeister, Alexander Horsch, Beate Fischer, Michael F Leitzmann. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 30.05.2017. https://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on http://www.jmir.org/, as well as this copyright and license information must be included.
spellingShingle Original Paper
Kohler, Simone
Behrens, Gundula
Olden, Matthias
Baumeister, Sebastian E
Horsch, Alexander
Fischer, Beate
Leitzmann, Michael F
Design and Evaluation of a Computer-Based 24-Hour Physical Activity Recall (cpar24) Instrument
title Design and Evaluation of a Computer-Based 24-Hour Physical Activity Recall (cpar24) Instrument
title_full Design and Evaluation of a Computer-Based 24-Hour Physical Activity Recall (cpar24) Instrument
title_fullStr Design and Evaluation of a Computer-Based 24-Hour Physical Activity Recall (cpar24) Instrument
title_full_unstemmed Design and Evaluation of a Computer-Based 24-Hour Physical Activity Recall (cpar24) Instrument
title_short Design and Evaluation of a Computer-Based 24-Hour Physical Activity Recall (cpar24) Instrument
title_sort design and evaluation of a computer-based 24-hour physical activity recall (cpar24) instrument
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5470012/
https://www.ncbi.nlm.nih.gov/pubmed/28559229
http://dx.doi.org/10.2196/jmir.7620
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