Literature DB >> 18258615

Estimating activity energy expenditure: how valid are physical activity questionnaires?

Heather K Neilson1, Paula J Robson, Christine M Friedenreich, Ilona Csizmadi.   

Abstract

Activity energy expenditure (AEE) is the modifiable component of total energy expenditure (TEE) derived from all activities, both volitional and nonvolitional. Because AEE may affect health, there is interest in its estimation in free-living people. Physical activity questionnaires (PAQs) could be a feasible approach to AEE estimation in large populations, but it is unclear whether or not any PAQ is valid for this purpose. Our aim was to explore the validity of existing PAQs for estimating usual AEE in adults, using doubly labeled water (DLW) as a criterion measure. We reviewed 20 publications that described PAQ-to-DLW comparisons, summarized study design factors, and appraised criterion validity using mean differences (AEE(PAQ) - AEE(DLW), or TEE(PAQ) - TEE(DLW)), 95% limits of agreement, and correlation coefficients (AEE(PAQ) versus AEE(DLW) or TEE(PAQ) versus TEE(DLW)). Only 2 of 23 PAQs assessed most types of activity over the past year and indicated acceptable criterion validity, with mean differences (TEE(PAQ) - TEE(DLW)) of 10% and 2% and correlation coefficients of 0.62 and 0.63, respectively. At the group level, neither overreporting nor underreporting was more prevalent across studies. We speculate that, aside from reporting error, discrepancies between PAQ and DLW estimates may be partly attributable to 1) PAQs not including key activities related to AEE, 2) PAQs and DLW ascertaining different time periods, or 3) inaccurate assignment of metabolic equivalents to self-reported activities. Small sample sizes, use of correlation coefficients, and limited information on individual validity were problematic. Future research should address these issues to clarify the true validity of PAQs for estimating AEE.

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Year:  2008        PMID: 18258615     DOI: 10.1093/ajcn/87.2.279

Source DB:  PubMed          Journal:  Am J Clin Nutr        ISSN: 0002-9165            Impact factor:   7.045


  75 in total

1.  Biomarker-calibrated dietary energy and protein intake associations with diabetes risk among postmenopausal women from the Women's Health Initiative.

Authors:  Lesley F Tinker; Gloria E Sarto; Barbara V Howard; Ying Huang; Marian L Neuhouser; Yasmin Mossavar-Rahmani; Jeannette M Beasley; Karen L Margolis; Charles B Eaton; Lawrence S Phillips; Ross L Prentice
Journal:  Am J Clin Nutr       Date:  2011-11-09       Impact factor: 7.045

2.  Estimating physical activity using a cell phone questionnaire sent by means of short message service (SMS): a randomized population-based study.

Authors:  Ylva Trolle Lagerros; Sven Sandin; Christin Bexelius; Jan-Eric Litton; Marie Löf
Journal:  Eur J Epidemiol       Date:  2012-06-29       Impact factor: 8.082

3.  "Are You Sure?": Lapses in Self-Reported Activities Among Healthy Older Adults Reporting Online.

Authors:  Katherine V Wild; Nora Mattek; Daniel Austin; Jeffrey A Kaye
Journal:  J Appl Gerontol       Date:  2015-02-09

4.  Commentaries on Viewpoint: Expending our physical activity (measurement) budget wisely.

Authors:  Todd M Manini
Journal:  J Appl Physiol (1985)       Date:  2011-08

5.  Physical activity assessment: biomarkers and self-report of activity-related energy expenditure in the WHI.

Authors:  Marian L Neuhouser; Chongzhi Di; Lesley F Tinker; Cynthia Thomson; Barbara Sternfeld; Yasmin Mossavar-Rahmani; Marcia L Stefanick; Stacy Sims; J David Curb; Michael Lamonte; Rebecca Seguin; Karen C Johnson; Ross L Prentice
Journal:  Am J Epidemiol       Date:  2013-02-22       Impact factor: 4.897

6.  Pre-Practice Hydration Status and the Effects of Hydration Regimen on Collegiate Division III Male Athletes.

Authors:  Meir Magal; Rebekah J Cain; Josh C Long; Kathleen S Thomas
Journal:  J Sports Sci Med       Date:  2015-03-01       Impact factor: 2.988

7.  Energy expenditure does not predict weight change in either Nigerian or African American women.

Authors:  Amy Luke; Lara R Dugas; Kara Ebersole; Ramon A Durazo-Arvizu; Guichan Cao; Dale A Schoeller; Adebowale Adeyemo; William R Brieger; Richard S Cooper
Journal:  Am J Clin Nutr       Date:  2008-12-03       Impact factor: 7.045

8.  Measures of physical activity using cell phones: validation using criterion methods.

Authors:  Christin Bexelius; Marie Löf; Sven Sandin; Ylva Trolle Lagerros; Elisabet Forsum; Jan-Eric Litton
Journal:  J Med Internet Res       Date:  2010-01-29       Impact factor: 5.428

9.  Relationships of self-reported physical activity domains with accelerometry recordings in French adults.

Authors:  David Jacobi; Marie-Aline Charles; Muriel Tafflet; Agnès Lommez; Jean-Michel Borys; Jean-Michel Oppert
Journal:  Eur J Epidemiol       Date:  2009-03-13       Impact factor: 8.082

10.  Physical activity and risk of metabolic syndrome in an urban Mexican cohort.

Authors:  Pablo Méndez-Hernández; Yvonne Flores; Carole Siani; Michel Lamure; L Darina Dosamantes-Carrasco; Elizabeth Halley-Castillo; Gerardo Huitrón; Juan O Talavera; Katia Gallegos-Carrillo; Jorge Salmerón
Journal:  BMC Public Health       Date:  2009-07-31       Impact factor: 3.295

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