Validity, reliability, and calibration of the physical activity unit 7 item screener (PAU-7S) at population scale.


Journal

The international journal of behavioral nutrition and physical activity
ISSN: 1479-5868
Titre abrégé: Int J Behav Nutr Phys Act
Pays: England
ID NLM: 101217089

Informations de publication

Date de publication:
17 07 2021
Historique:
received: 15 02 2021
accepted: 05 07 2021
entrez: 18 7 2021
pubmed: 19 7 2021
medline: 21 9 2021
Statut: epublish

Résumé

Validation of self-reported tools, such as physical activity (PA) questionnaires, is crucial. The aim of this study was to determine test-retest reliability, internal consistency, and the concurrent, construct, and predictive validity of the short semi-quantitative Physical Activity Unit 7 item Screener (PAU-7S), using accelerometry as the reference measurement. The effect of linear calibration on PAU-7S validity was tested. A randomized sample of 321 healthy children aged 8-16 years (149 boys, 172 girls) from the nationwide representative PASOS study completed the PAU-7S before and after wearing an accelerometer for at least 7 consecutive days. Weight, height, and waist circumference were measured. Cronbach alpha was calculated for internal consistency. Test-retest reliability was determined by intra-class correlation (ICC). Concurrent validity was assessed by ICC and Spearman correlation coefficient between moderate to vigorous PA (MVPA) derived by the PAU-7S and by accelerometer. Concordance between both methods was analyzed by absolute agreement, weighted kappa, and Bland-Altman statistics. Multiple linear regression models were fitted for construct validity and predictive validity was determined by leave-one-out cross-validation. The PAU-7S overestimated MVPA by 18%, compared to accelerometers (106.5 ± 77.0 vs 95.2 ± 33.2 min/day, respectively). A Cronbach alpha of 0.76 showed an acceptable internal consistency of the PAU-7S. Test-retest reliability was good (ICC 0.71 p < 0.001). Spearman correlation and ICC coefficients of MVPA derived by the PAU-7S and accelerometers increased from 0.31 to 0.62 and 0.20 to 0.62, respectively, after calibration of the PAU-7S. Between-methods concordance improved from a weighted kappa of 0.24 to 0.50 after calibration. A slight reduction in ICC, from 0.62 to 0.60, yielded good predictive validity. Multiple linear regression models showed an inverse association of MVPA with standardized body mass index (β - 0.162; p < 0.077) and waist to height ratio (β - 0.010; p < 0.014). All validity dimensions were somewhat stronger in boys compared to girls. The PAU-7S shows a good test-retest reliability and acceptable internal consistency. All dimensions of validity increased from poor/fair to moderate/good after calibration. The PAU-7S is a valid instrument for measuring MVPA in children and adolescents. Trial registration number ISRCTN34251612 .

Sections du résumé

BACKGROUND
Validation of self-reported tools, such as physical activity (PA) questionnaires, is crucial. The aim of this study was to determine test-retest reliability, internal consistency, and the concurrent, construct, and predictive validity of the short semi-quantitative Physical Activity Unit 7 item Screener (PAU-7S), using accelerometry as the reference measurement. The effect of linear calibration on PAU-7S validity was tested.
METHODS
A randomized sample of 321 healthy children aged 8-16 years (149 boys, 172 girls) from the nationwide representative PASOS study completed the PAU-7S before and after wearing an accelerometer for at least 7 consecutive days. Weight, height, and waist circumference were measured. Cronbach alpha was calculated for internal consistency. Test-retest reliability was determined by intra-class correlation (ICC). Concurrent validity was assessed by ICC and Spearman correlation coefficient between moderate to vigorous PA (MVPA) derived by the PAU-7S and by accelerometer. Concordance between both methods was analyzed by absolute agreement, weighted kappa, and Bland-Altman statistics. Multiple linear regression models were fitted for construct validity and predictive validity was determined by leave-one-out cross-validation.
RESULTS
The PAU-7S overestimated MVPA by 18%, compared to accelerometers (106.5 ± 77.0 vs 95.2 ± 33.2 min/day, respectively). A Cronbach alpha of 0.76 showed an acceptable internal consistency of the PAU-7S. Test-retest reliability was good (ICC 0.71 p < 0.001). Spearman correlation and ICC coefficients of MVPA derived by the PAU-7S and accelerometers increased from 0.31 to 0.62 and 0.20 to 0.62, respectively, after calibration of the PAU-7S. Between-methods concordance improved from a weighted kappa of 0.24 to 0.50 after calibration. A slight reduction in ICC, from 0.62 to 0.60, yielded good predictive validity. Multiple linear regression models showed an inverse association of MVPA with standardized body mass index (β - 0.162; p < 0.077) and waist to height ratio (β - 0.010; p < 0.014). All validity dimensions were somewhat stronger in boys compared to girls.
CONCLUSION
The PAU-7S shows a good test-retest reliability and acceptable internal consistency. All dimensions of validity increased from poor/fair to moderate/good after calibration. The PAU-7S is a valid instrument for measuring MVPA in children and adolescents.
TRIAL REGISTRATION
Trial registration number ISRCTN34251612 .

Identifiants

pubmed: 34274002
doi: 10.1186/s12966-021-01169-w
pii: 10.1186/s12966-021-01169-w
pmc: PMC8285783
doi:

Banques de données

ISRCTN
['ISRCTN34251612']

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

98

Informations de copyright

© 2021. The Author(s).

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Auteurs

Helmut Schröder (H)

Ciber Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain. hschroeder@imim.es.
Cardiovascular Risk and Nutrition Research Group, IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain. hschroeder@imim.es.

Isaac Subirana (I)

Cardiovascular Epidemiology and Genetics Research Group, IMIM Hospital del Mar Medical Research Institute, Barcelona, Spain.
Centro de Investigación Biomédica en Red de Enfermedades Cardiovasculares (CIBERCV), Madrid, Spain.

Julia Wärnberg (J)

School of Health Sciences, Universidad de Málaga-Instituto de investigación biomédica de Málaga, Málaga, Spain.
Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain.

María Medrano (M)

ELIKOS group, Institute for Innovation & Sustainable Development in Food Chain (IS-FOOD), Instituto de Investigación Sanitaria de Navarra (IDISNA), Public University of Navarra, Navarra, Spain.

Marcela González-Gross (M)

Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain.
ImFINE Research Group, Department of Health and Human Performance, Universidad Politécnica de Madrid, Madrid, Spain.

Narcis Gusi (N)

Physical Activity and Quality of Life Research Group (AFYCAV), Faculty of Sport Sciences, University of Extremadura, Cáceres, Spain.

Susana Aznar (S)

PAFS Research Group, Faculty of Sports Sciences, University of Castilla-La Mancha, Toledo, Spain.
CIBER of Frailty and Healthy Aging (CIBERFES), Madrid, Spain.

Pedro E Alcaraz (PE)

Research Center for High Performance Sport, Catholic University of Murcia, Murcia, Spain.
Faculty of Sport Sciences, UCAM, Catholic University of Murcia, Murcia, Spain.

Miguel A González-Valeiro (MA)

Faculty of Sports Sciences and Physical Education, University of A Coruña, A Coruña, Spain.

Lluis Serra-Majem (L)

Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain.
Research Institute of Biomedical and Health Sciences (IUIBS), University of Las Palmas de Gran Canaria, Las Palmas, Spain.
Preventive Medicine Service, Canarian Health Service, Centro Hospitalario Universitario Insular Materno Infantil (CHUIMI), Las Palmas, Spain.

Nicolás Terrados (N)

Regional Unit of Sports Medicine, Municipal Sports Foundation of Avilés, Asturias, Spain.

Josep A Tur (JA)

Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain.
Research Group of Community Nutrition & Oxidative Stress, University of the Balearic Islands, Palma de Mallorca, Spain.

Marta Segú (M)

Probitas Foundation, Barcelona, Spain.

Clara Homs (C)

Gasol Foundation, 08830, Sant Boi de Llobregat, Spain.
GRoW, Global Research on Wellbeing, Blanquerna School of Life Sciences, University Ramon Llull, Barcelona, Spain.

Alicia Garcia-Álvarez (A)

Faculty of Health Sciences, Universitat Oberta de Catalunya, Barcelona, Spain.

Juan C Benavente-Marín (JC)

School of Health Sciences, Universidad de Málaga-Instituto de investigación biomédica de Málaga, Málaga, Spain.

F Javier Barón-López (FJ)

School of Health Sciences, Universidad de Málaga-Instituto de investigación biomédica de Málaga, Málaga, Spain.
Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain.

Idoia Labayen (I)

ELIKOS group, Institute for Innovation & Sustainable Development in Food Chain (IS-FOOD), Instituto de Investigación Sanitaria de Navarra (IDISNA), Public University of Navarra, Navarra, Spain.

Augusto G Zapico (AG)

ImFINE Research Group, Department of Health and Human Performance, Universidad Politécnica de Madrid, Madrid, Spain.
Department of Didactics of Language, Arts and Physical Education, Universidad Complutense de Madrid, Madrid, Spain.

Jesús Sánchez-Gómez (J)

Physical Activity and Quality of Life Research Group (AFYCAV), Faculty of Sport Sciences, University of Extremadura, Cáceres, Spain.

Fabio Jiménez-Zazo (F)

PAFS Research Group, Faculty of Sports Sciences, University of Castilla-La Mancha, Toledo, Spain.

Elena Marín-Cascales (E)

Research Center for High Performance Sport, Catholic University of Murcia, Murcia, Spain.

Marta Sevilla-Sanchez (M)

Faculty of Sports Sciences and Physical Education, University of A Coruña, A Coruña, Spain.

Estefanía Herrera-Ramos (E)

Research Institute of Biomedical and Health Sciences (IUIBS), University of Las Palmas de Gran Canaria, Las Palmas, Spain.

Susana Pulgar (S)

Regional Unit of Sports Medicine, Municipal Sports Foundation of Avilés, Asturias, Spain.

María Del Mar Bibiloni (M)

Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain.
Research Group of Community Nutrition & Oxidative Stress, University of the Balearic Islands, Palma de Mallorca, Spain.

Clara Sistac-Sorigué (C)

Probitas Foundation, Barcelona, Spain.

Santiago F Gómez (SF)

Gasol Foundation, 08830, Sant Boi de Llobregat, Spain. sgomez@gasolfoundation.org.
GREpS, Health Education Research Group, Nursing and Physiotherapy Department, University of Lleida, Lleida, Spain. sgomez@gasolfoundation.org.

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