Literature DB >> 16547838

Validity and reliability of self-reported total energy expenditure using a novel instrument.

Ylva Trolle Lagerros1, Lorelei A Mucci, Rino Bellocco, Olof Nyrén, Olle Bälter, Katarina A Bälter.   

Abstract

Improved methods for quantitative self-reports of total physical activity in epidemiological studies are needed. We evaluated randomly selected individuals' ability to integrate their perception of physical activity over time to produce an estimate of the "usual" level, using a novel instrument for self-quantification of energy expenditure. A population-based sample of 418 Swedish men and women, age 20-59, completed a questionnaire containing the new instrument. For validation, three 24 hour recalls by phone served as gold standard. Reproducibility was assessed through administering the instrument another three times. The validation involved 133 subjects and another 160 completed the reproducibility evaluation. Pearson correlation between usual daily energy expenditure measured by the instrument and the mean of the 24 hour recalls was 0.73. After subdividing the self-reported daily energy expenditure and the mean of the 24 hour recalls into quintiles, 83.5% of the participants remained in the same quintile, or one quintile apart. There was a tendency towards overestimation of usual daily physical activity. This was significantly associated with low education. Reproducibility showed an intraclass correlation of 0.55. Although integrated reports of usual daily energy expenditure over longer periods seem to be afflicted with a tendency of overestimation, total energy expenditure can be estimated with reasonable validity and reproducibility using our instrument.

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Year:  2006        PMID: 16547838     DOI: 10.1007/s10654-006-0013-y

Source DB:  PubMed          Journal:  Eur J Epidemiol        ISSN: 0393-2990            Impact factor:   8.082


  36 in total

1.  Participant characteristics and quality of recall of physical activity in the distant past.

Authors:  K L Falkner; S E McCann; M Trevisan
Journal:  Am J Epidemiol       Date:  2001-11-01       Impact factor: 4.897

Review 2.  Physical activity and stroke. A meta-analysis of observational data.

Authors:  G C W Wendel-Vos; A J Schuit; E J M Feskens; H C Boshuizen; W M M Verschuren; W H M Saris; D Kromhout
Journal:  Int J Epidemiol       Date:  2004-05-27       Impact factor: 7.196

3.  Physical activity as a determinant of mortality in women.

Authors:  Ylva Trolle-Lagerros; Lorelei A Mucci; Merethe Kumle; Tonje Braaten; Elisabete Weiderpass; Chung-Cheng Hsieh; Sven Sandin; Pagona Lagiou; Dimitrios Trichopoulos; Eiliv Lund; Hans-Olov Adami
Journal:  Epidemiology       Date:  2005-11       Impact factor: 4.822

4.  Web-based and mailed questionnaires: a comparison of response rates and compliance.

Authors:  Katarina Augustsson Bälter; Olle Bälter; Elinor Fondell; Ylva Trolle Lagerros
Journal:  Epidemiology       Date:  2005-07       Impact factor: 4.822

5.  Demands on web survey tools for epidemiological research.

Authors:  Olle Bälter; Katarina Augustsson Bälter
Journal:  Eur J Epidemiol       Date:  2005       Impact factor: 8.082

6.  Relative validity and repeatability of a new questionnaire on physical activity.

Authors:  M A Pols; P H Peeters; M C Ocké; H B Bueno-de-Mesquita; N Slimani; H C Kemper; H J Collette
Journal:  Prev Med       Date:  1997 Jan-Feb       Impact factor: 4.018

7.  A concordance correlation coefficient to evaluate reproducibility.

Authors:  L I Lin
Journal:  Biometrics       Date:  1989-03       Impact factor: 2.571

8.  Sedentary jobs and colon cancer.

Authors:  M Gerhardsson; S E Norell; H Kiviranta; N L Pedersen; A Ahlbom
Journal:  Am J Epidemiol       Date:  1986-05       Impact factor: 4.897

9.  Walking compared with vigorous physical activity and risk of type 2 diabetes in women: a prospective study.

Authors:  F B Hu; R J Sigal; J W Rich-Edwards; G A Colditz; C G Solomon; W C Willett; F E Speizer; J E Manson
Journal:  JAMA       Date:  1999-10-20       Impact factor: 56.272

10.  Validity and reliability of self-reported physical activity status: the Lipid Research Clinics questionnaire.

Authors:  B E Ainsworth; D R Jacobs; A S Leon
Journal:  Med Sci Sports Exerc       Date:  1993-01       Impact factor: 5.411

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  27 in total

Review 1.  Physical activity questionnaires for adults: a systematic review of measurement properties.

Authors:  Mireille N M van Poppel; Mai J M Chinapaw; Lidwine B Mokkink; Willem van Mechelen; Caroline B Terwee
Journal:  Sports Med       Date:  2010-07-01       Impact factor: 11.136

2.  Physical activity and body mass index as predictors of prostate cancer risk.

Authors:  Alessandra Grotta; Matteo Bottai; Hans-Olov Adami; Swann Arp Adams; Olof Akre; Steven Noel Blair; Daniela Mariosa; Olof Nyrén; Weimin Ye; Pär Stattin; Rino Bellocco; Ylva Trolle Lagerros
Journal:  World J Urol       Date:  2015-01-04       Impact factor: 4.226

3.  Achievement of physical activity recommendation and activity levels in students of human medicine compared with the general Austrian population aged between 20 and 29 years.

Authors:  Christian Lackinger; Thomas Ernst Dorner
Journal:  Wien Med Wochenschr       Date:  2015-03-19

4.  Effects of physical activity, body mass index, waist-to-hip ratio and waist circumference on total mortality risk in the Swedish National March Cohort.

Authors:  Rino Bellocco; Chongqi Jia; Weimin Ye; Ylva Trolle Lagerros
Journal:  Eur J Epidemiol       Date:  2010-08-22       Impact factor: 8.082

5.  A prospective cohort study of the combined effects of physical activity and anthropometric measures on the risk of post-menopausal breast cancer.

Authors:  Rino Bellocco; Gaetano Marrone; Weimin Ye; Olof Nyrén; Hans-Olov Adami; Daniela Mariosa; Ylva Trolle Lagerros
Journal:  Eur J Epidemiol       Date:  2015-07-01       Impact factor: 8.082

6.  Dietary antioxidants, non-enzymatic antioxidant capacity and the risk of osteoarthritis in the Swedish National March Cohort.

Authors:  Loïs Veen; Essi Hantikainen; Rino Bellocco; Weimin Ye; Mauro Serafini; Marta Ponzano; Alessandra Grotta; Ylva Trolle Lagerros
Journal:  Eur J Nutr       Date:  2020-04-02       Impact factor: 5.614

7.  Measures of physical activity and their correlates: the Swedish National March Cohort.

Authors:  Ylva Trolle Lagerros; Rino Bellocco; Hans-Olov Adami; Olof Nyrén
Journal:  Eur J Epidemiol       Date:  2009-03-18       Impact factor: 8.082

8.  Comparison of traditional versus mobile app self-monitoring of physical activity and dietary intake among overweight adults participating in an mHealth weight loss program.

Authors:  Gabrielle M Turner-McGrievy; Michael W Beets; Justin B Moore; Andrew T Kaczynski; Daheia J Barr-Anderson; Deborah F Tate
Journal:  J Am Med Inform Assoc       Date:  2013-02-21       Impact factor: 4.497

9.  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

10.  Does the type of weight loss diet affect who participates in a behavioral weight loss intervention? A comparison of participants for a plant-based diet versus a standard diet trial.

Authors:  Gabrielle M Turner-McGrievy; Charis R Davidson; Sara Wilcox
Journal:  Appetite       Date:  2013-11-20       Impact factor: 3.868

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