Evidence map›Paper›PMID 29587694›Full record

ArticleBMC public health2018

Calibration of the global physical activity questionnaire to Accelerometry measured physical activity and sedentary behavior.

Kristen M Metcalf, Barbara I Baquero, Mayra L Coronado Garcia, Shelby L Francis, Kathleen F Janz, Helena H Laroche, Daniel K Sewell

Abstract read
In one paragraph

Article in BMC public health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

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

  1. Pooled it
  2. Pooled it
  3. Reliability and Concurrent Validity of Global Physical Activity Questionnaire (GPAQ): A Systematic Review.International journal of environmental research and public health · 2019
    Pooled it
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  13. Physical activity and sedentary behavior trajectories and their associations with quality of life, disability, and all-cause mortality.European review of aging and physical activity : official journal of the European Group for Research into Elderly and Physical Activity · 2022
    Article
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  15. 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
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  16. Validity, reliability, and calibration of the physical activity unit 7 item screener (PAU-7S) at population scale.The international journal of behavioral nutrition and physical activity · 2021
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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.

Kristen M MetcalfUniversity of Iowa, 102 Field House, Iowa City, IA, 52242, USA. Kristen-metcalf@uiowa.edu.ORCID 0000-0002-1819-8866
Barbara I BaqueroUniversity of Iowa, N418 CPHB, Iowa City, IA, 52242, USA.
Mayra L Coronado GarciaUniversity of Iowa, N300 CPHB, Iowa City, IA, 52242, USA.
Shelby L FrancisUniversity of Iowa, SW34 GH, Iowa City, IA, 52242, USA.
Kathleen F JanzUniversity of Iowa, E130 Field House, Iowa City, IA, 52242, USA.
Helena H LarocheUniversity of Iowa, 280B MRF, Iowa City, IA, 52242, USA.
Daniel K SewellUniversity of Iowa, N338 CPHB, Iowa City, IA, 52242, USA.

Funding

University of Iowa Prevention Research Center for Rural HealthU48DP005021 · DP · UNIVERSITY OF IOWA · PI BAQUERO, BARBARA I, PARKER, EDITH A · 2014 to 2018
$5.6M
Family obesity intervention: Motivational Interviewing and community supportR01HL119882 · NHLBI · UNIVERSITY OF IOWA · PI LAROCHE, HELENA HILLMAN · 2014 to 2018
$3.4M
CDC HHS 1 U48 DP005021-01NCCDPHP CDC HHS U48 DP005021NHLBI NIH HHS R01 HL119882NIH HHS 5R01 HL119882
6 · The paper itself

Abstract

backgroundSelf-report questionnaires are a valuable method of physical activity measurement in public health research; however, accuracy is often lacking. The purpose of this study is to improve the validity of the Global Physical Activity Questionnaire by calibrating it to 7 days of accelerometer measured physical activity and sedentary behavior.

methodsParticipants (n = 108) wore an ActiGraph GT9X Link on their non-dominant wrist for 7 days. Following the accelerometer wear period, participants completed a telephone Global Physical Activity Questionnaire with a research assistant. Data were split into training and testing samples, and multivariable linear regression models built using functions of the GPAQ self-report data to predict ActiGraph measured physical activity and sedentary behavior. Models were evaluated with the testing sample and an independent validation sample (n = 120) using Mean Squared Prediction Errors.

resultsThe prediction models utilized sedentary behavior, and moderate- and vigorous-intensity physical activity self-reported scores from the questionnaire, and participant age. Transformations of each variable, as well as break point analysis were considered. Prediction errors were reduced by 77.7-80.6% for sedentary behavior and 61.3-98.6% for physical activity by using the multivariable linear regression models over raw questionnaire scores.

conclusionsThis research demonstrates the utility of calibrating self-report questionnaire data to objective measures to improve estimates of physical activity and sedentary behavior. It provides an understanding of the divide between objective and subjective measures, and provides a means to utilize the two methods as a unified measure.

Indexed as

ExerciseGlobal HealthSurveys and QuestionnairesAccelerometryAdultAgedCalibrationFemaleHumansLinear ModelsMaleMiddle AgedSedentary BehaviorSelf ReportYoung AdultAccelerometryCalibrationMeasurementPhysical activityPublic healthSedentary behaviorSelf-report

Identifiers

PMID29587694
PMCPMC5870179

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

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.