Evidence map›Paper›PMID 28559229›Full record

ArticleJournal of medical Internet research2017

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

Simone Kohler, Gundula Behrens, Matthias Olden, Sebastian E Baumeister, Alexander Horsch, Beate Fischer, Michael F Leitzmann

Abstract read
In one paragraph

Article in Journal of medical Internet research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 3 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Validity and reliability of self-reported methods for assessment of 24-h movement behaviours: a systematic review.The international journal of behavioral nutrition and physical activity · 2024
    Pooled it
  2. Pooled it
  3. Pooled it
  4. Objective and subjective measurement of sedentary behavior in human adults: A toolkit.American journal of human biology : the official journal of the Human Biology Council · 2022
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Simone KohlerDepartment of Epidemiology and Preventive Medicine, University of Regensburg, Regensburg, Germany.ORCID 0000-0003-1896-1793
Gundula BehrensDepartment of Epidemiology and Preventive Medicine, University of Regensburg, Regensburg, Germany.ORCID 0000-0002-9355-6491
Matthias OldenDepartment of Epidemiology and Preventive Medicine, University of Regensburg, Regensburg, Germany.ORCID 0000-0002-2217-3899
Sebastian E BaumeisterDepartment of Epidemiology and Preventive Medicine, University of Regensburg, Regensburg, Germany.ORCID 0000-0002-9391-6602
Alexander HorschDepartment of Computer Science, UiT - The Arctic university of Norway, Breivika, Tromsø, Norway.ORCID 0000-0001-7745-0139
Beate FischerDepartment of Epidemiology and Preventive Medicine, University of Regensburg, Regensburg, Germany.ORCID 0000-0002-3011-6886
Michael F LeitzmannDepartment of Epidemiology and Preventive Medicine, University of Regensburg, Regensburg, Germany.ORCID 0000-0002-0371-2789

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWidespread 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.

objectiveThe 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.

methodsA 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.

resultsAs 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).

conclusionThese data show that the cpar24 is a valid and reproducible Web-based measure of physical activity in adults.

Indexed as

AdultAgedComputersEquipment DesignExerciseFemaleHumansInternetMaleMiddle AgedTime FactorsYoung Adultlifestyle behaviorphysical activityreliabilitysedentary behaviorusabilityvalidityweb-based method

Identifiers

PMID28559229
PMCPMC5470012

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.