Literature DB >> 23770662

What physical activity surveillance needs: validity of a single-item questionnaire.

Miriam Wanner1, Nicole Probst-Hensch2, Susi Kriemler3, Flurina Meier2, Adrian Bauman4, Brian W Martin1.   

Abstract

BACKGROUND: Self-report instruments to assess physical activity are still the most feasible option in many population-wide surveys, and often need to be very short owing to resource constraints. The aim of this study was to test the criterion validity of a single-item physical activity measure using accelerometers and to compare its measurement properties by gender, age group (including older adults) and language region.
METHODS: A validation study was carried out within the second follow-up of a large Swiss cohort study (Swiss Cohort Study on Air Pollution and Lung and Heart Disease in Adults, SAPALDIA, n=208) and included an additional convenient sample (n=110). Participants wore an accelerometer over eight consecutive days and then completed the single-item measure. Spearman's rank-order correlations were used to assess the criterion validity.
RESULTS: Physical activity levels were higher in men, younger individuals and those from the German-speaking part of Switzerland. Correlation coefficients for the number of days with at least 30 min of moderate-to-vigorous physical activity according to the single item and different accelerometer activity outcomes ranged from 0.40 to 0.54. Correlations were higher for women, younger individuals and participants from the French-speaking and the Italian-speaking parts.
CONCLUSIONS: The single-item physical activity measure performed at least as well as other physical activity questionnaires. The differences in criterion validity between sub groups indicate that factors such as gender and age should be taken into account when developing physical activity questionnaires and in future validation studies. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.

Entities:  

Keywords:  Aging; Gender issues; Physical activity and exercise methodology; Physical activity measurement

Mesh:

Year:  2013        PMID: 23770662     DOI: 10.1136/bjsports-2012-092122

Source DB:  PubMed          Journal:  Br J Sports Med        ISSN: 0306-3674            Impact factor:   13.800


  29 in total

1.  Socio-demographic correlates of physical activity among European older people.

Authors:  Miguel Peralta; João Martins; Dartagnan Pinto Guedes; Hugo Sarmento; Adilson Marques
Journal:  Eur J Ageing       Date:  2017-04-28

2.  Basic mobility, accidental falls, and lifetime physical activity among rural and urban community-dwelling older adults: a population-based study in Northern Iceland.

Authors:  Solveig A Arnadottir; Lara Einarsdottir; Arun K Sigurdardottir
Journal:  Int J Circumpolar Health       Date:  2022-12       Impact factor: 1.941

3.  Cognitive decline and alcohol consumption adjusting for functional status over a 3-year period in French speaking community living older adults.

Authors:  Helen-Maria Vasiliadis; Marie-Christine Payette; Djamal Berbiche; Sébastien Grenier; Carol Hudon
Journal:  J Public Health (Oxf)       Date:  2019-06-01       Impact factor: 2.341

4.  Changes in Digital Media Use and Physical Activity in German Young Adults under the Covid-19 Pandemic - A Cross-Sectional Study.

Authors:  Jasmin Helbach; Katharina Stahlmann
Journal:  J Sports Sci Med       Date:  2021-10-01       Impact factor: 2.988

5.  Screening Physical Activity in Family Practice: Validity of the Spanish Version of a Brief Physical Activity Questionnaire.

Authors:  Anna Puig-Ribera; Carlos Martín-Cantera; Elisa Puigdomenech; Jordi Real; Montserrat Romaguera; José Félix Magdalena-Belio; Jose Ignacio Recio-Rodríguez; Beatriz Rodriguez-Martin; Maria Soledad Arietaleanizbeaskoa; Irene Repiso-Gento; Luis Garcia-Ortiz
Journal:  PLoS One       Date:  2015-09-17       Impact factor: 3.240

6.  Long term effects of self-determination theory and motivational interviewing in a web-based physical activity intervention: randomized controlled trial.

Authors:  Stijn A H Friederichs; Anke Oenema; Catherine Bolman; Lilian Lechner
Journal:  Int J Behav Nutr Phys Act       Date:  2015-08-18       Impact factor: 6.457

7.  Health and health behaviours before and during the Great Recession, overall and by socioeconomic status, using data from four repeated cross-sectional health surveys in Spain (2001-2012).

Authors:  Xavier Bartoll; Veronica Toffolutti; Davide Malmusi; Laia Palència; Carme Borrell; Marc Suhrcke
Journal:  BMC Public Health       Date:  2015-09-07       Impact factor: 3.295

8.  Physical Activity through Sustainable Transport Approaches (PASTA): protocol for a multi-centre, longitudinal study.

Authors:  Evi Dons; Thomas Götschi; Mark Nieuwenhuijsen; Audrey de Nazelle; Esther Anaya; Ione Avila-Palencia; Christian Brand; Tom Cole-Hunter; Mailin Gaupp-Berghausen; Sonja Kahlmeier; Michelle Laeremans; Natalie Mueller; Juan Pablo Orjuela; Elisabeth Raser; David Rojas-Rueda; Arnout Standaert; Erik Stigell; Tina Uhlmann; Regine Gerike; Luc Int Panis
Journal:  BMC Public Health       Date:  2015-11-14       Impact factor: 3.295

9.  Associations of subjective social status with physical activity and body mass index across four Asian countries.

Authors:  Leah Frerichs; Terry T-K Huang; Duan-Rung Chen
Journal:  J Obes       Date:  2014-05-28

10.  Calibration of self-report tools for physical activity research: the Physical Activity Questionnaire (PAQ).

Authors:  Pedro F Saint-Maurice; Gregory J Welk; Nicholas K Beyler; Roderick T Bartee; Kate A Heelan
Journal:  BMC Public Health       Date:  2014-05-16       Impact factor: 3.295

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