Literature DB >> 9778094

The assessment of physical activity in individuals and populations: why try to be more precise about how physical activity is assessed?

N J Wareham1, K L Rennie.   

Abstract

Simple epidemiological measures of physical activity have proved sufficient to demonstrate associations with many chronic disease outcomes, but they have infrequently separated physical activity into its different dimensions, nor have they allowed estimation of dose-response effects. Generating greater clarity about the nature of the exposure-disease relationship, is an important step in the development of an appropriate public health intervention. This clarity can only be achieved with reliable and valid measurement instruments, which objectively and quantitatively assess the dimension of physical activity that is of interest for a particular health outcome. Objective techniques, such as heart rate monitoring, which have been directly compared to gold standard assessment methods, may be of use in medium-sized epidemiological studies and as a validation tool for questionnaires to be used in larger studies. The combination of methods with uncorrelated error, would result in an improved estimation of the true exposure and is an important area for research. Improved assessment would be of use in aetiological studies, in tracking trends in physical activity within populations, making objective comparisons between populations and in monitoring the effect of interventions.

Mesh:

Year:  1998        PMID: 9778094

Source DB:  PubMed          Journal:  Int J Obes Relat Metab Disord


  73 in total

Review 1.  Limits to the measurement of habitual physical activity by questionnaires.

Authors:  R J Shephard
Journal:  Br J Sports Med       Date:  2003-06       Impact factor: 13.800

Review 2.  Qualitative attributes and measurement properties of physical activity questionnaires: a checklist.

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

3.  Prospective association between body composition, physical activity and energy intake in young adults.

Authors:  C Drenowatz; B Cai; G A Hand; P T Katzmarzyk; R P Shook; S N Blair
Journal:  Eur J Clin Nutr       Date:  2015-08-19       Impact factor: 4.016

4.  Physical activity in epidemiology: moving from questionnaire to objective measurement.

Authors:  K F Janz
Journal:  Br J Sports Med       Date:  2006-03       Impact factor: 13.800

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

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

6.  A new method to estimate energy expenditure from abdominal and rib cage distances.

Authors:  S Gastinger; H Sefati; G Nicolas; A Sorel; A Gratas-Delamarche; J Prioux
Journal:  Eur J Appl Physiol       Date:  2011-03-18       Impact factor: 3.078

7.  Variability in physical activity patterns as measured by the SenseWear Armband: how many days are needed?

Authors:  Tineke Scheers; Renaat Philippaerts; Johan Lefevre
Journal:  Eur J Appl Physiol       Date:  2011-08-28       Impact factor: 3.078

8.  Perceived sufficiency of physical activity levels among adults at high risk of type 2 diabetes: the FIN-D2D study.

Authors:  Kati Vähäsarja; Sanna Salmela; Jari Villberg; Pauli Rintala; Mauno Vanhala; Timo Saaristo; Markku Peltonen; Sirkka Keinänen-Kiukaanniemi; Eeva Korpi-Hyövälti; Leena Moilanen; Leo Niskanen; Heikki Oksa; Marita E Poskiparta
Journal:  Int J Behav Med       Date:  2014-02

9.  Exercise motivation: a cross-sectional analysis examining its relationships with frequency, intensity, and duration of exercise.

Authors:  Lindsay R Duncan; Craig R Hall; Philip M Wilson; O Jenny
Journal:  Int J Behav Nutr Phys Act       Date:  2010-01-26       Impact factor: 6.457

10.  The ADDITION-Cambridge trial protocol: a cluster -- randomised controlled trial of screening for type 2 diabetes and intensive treatment for screen-detected patients.

Authors:  Justin B Echouffo-Tcheugui; Rebecca K Simmons; Kate M Williams; Roslyn S Barling; A Toby Prevost; Ann Louise Kinmonth; Nicholas J Wareham; Simon J Griffin
Journal:  BMC Public Health       Date:  2009-05-12       Impact factor: 3.295

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