Literature DB >> 11227981

Challenges and opportunities for measuring physical activity in sedentary adults.

C E Tudor-Locke1, A M Myers.   

Abstract

Increasing the physical activity of typically sedentary adult populations is at the forefront of the public health agenda. This review addresses the challenges in defining and measuring physical activity in this target group, for a number of purposes, namely, scientific or academic inquiry, surveillance, clinical application and programme evaluation. First, we clarify the conceptual distinctions between the terms sedentarism, physical inactivity, physical activity and energy expenditure. Next, we review and compare the utility of different approaches for quantifying and expressing physical activity in these populations. Physical activity in typically sedentary populations is most likely a simple pattern of behaviour that has been largely obscured by existing measures and its expression as energy expenditure. Existing self-report methods are practical, but suffer from floor effects and recall bias. Walking, the most important activity to assess in this target group, is very difficult to measure through self-report methods. Motion sensors are more appropriate for quantifying physical activity behaviours in typically sedentary populations. Of the 2 types of motion sensors - the accelerometer and the pedometers--the latter is more appealing because it is both an affordable and a 'good enough' measure of physical activity, specifically ambulatory activity. Although a common measurement approach would greatly facilitate our understanding of physical activity behaviour patterns, the selection of an approach ultimately depends on the purpose of the study and to a great extent, its budget. Researchers, clinicians and practitioners interested in accurately capturing the lower end of the continuum of physical activity (that is characteristic of sedentary populations) must thoughtfully consider the relative advantages and disadvantages of the available approaches.

Mesh:

Year:  2001        PMID: 11227981     DOI: 10.2165/00007256-200131020-00002

Source DB:  PubMed          Journal:  Sports Med        ISSN: 0112-1642            Impact factor:   11.136


  64 in total

1.  Self-report measures and scoring protocols affect prevalence estimates of meeting physical activity guidelines.

Authors:  J A Sarkin; J F Nichols; J F Sallis; K J Calfas
Journal:  Med Sci Sports Exerc       Date:  2000-01       Impact factor: 5.411

2.  Activity decreases as percentage overweight increases.

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Journal:  Int J Obes Relat Metab Disord       Date:  1992-08

3.  Implications of the traditional and the new ACSM physical activity recommendations on weight reduction in dietary treated obese subjects.

Authors:  C Weyer; R Linkeschowa; T Heise; H T Giesen; M Spraul
Journal:  Int J Obes Relat Metab Disord       Date:  1998-11

4.  Inactivity, diet, and the fattening of America.

Authors:  S L Gortmaker; W H Dietz; L W Cheung
Journal:  J Am Diet Assoc       Date:  1990-09

5.  Definition and prevalence of sedentarism in an urban population.

Authors:  M S Bernstein; A Morabia; D Sloutskis
Journal:  Am J Public Health       Date:  1999-06       Impact factor: 9.308

Review 6.  The measurement conundrum in exercise adherence research.

Authors:  R K Dishman
Journal:  Med Sci Sports Exerc       Date:  1994-11       Impact factor: 5.411

7.  The use of pedometer and actometer in studying daily physical activity in man. Part I: reliability of pedometer and actometer.

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Journal:  Eur J Appl Physiol Occup Physiol       Date:  1977-10-31

8.  Oxygen uptake and its relation to physical activity and other coronary risk factors in asymptomatic middle-aged Japanese.

Authors:  Y Ichihara; R Hattori; T Anno; K Okuma; M Yokoi; Y Mizuno; T Iwatsuka; T Ohta; T Kawamura
Journal:  J Cardiopulm Rehabil       Date:  1996 Nov-Dec       Impact factor: 2.081

9.  Television viewing and obesity in adult males.

Authors:  L A Tucker; G M Friedman
Journal:  Am J Public Health       Date:  1989-04       Impact factor: 9.308

10.  Comprehensive evaluation of the Minnesota Leisure Time Physical Activity Questionnaire.

Authors:  M T Richardson; A S Leon; D R Jacobs; B E Ainsworth; R Serfass
Journal:  J Clin Epidemiol       Date:  1994-03       Impact factor: 6.437

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  124 in total

1.  A pedometer-based intervention to improve physical activity, fitness, and coronary heart disease risk in National Guard personnel.

Authors:  Laura A Talbot; E Jeffrey Metter; Christopher H Morrell; Kevin D Frick; Ali A Weinstein; Jerome L Fleg
Journal:  Mil Med       Date:  2011-05       Impact factor: 1.437

2.  Effect of daily walking steps on ultrasound parameters of the calcaneus in elderly Japanese women.

Authors:  J Kitagawa; F Omasu; Y Nakahara
Journal:  Osteoporos Int       Date:  2003-03-12       Impact factor: 4.507

Review 3.  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 4.  How many steps/day are enough? Preliminary pedometer indices for public health.

Authors:  Catrine Tudor-Locke; David R Bassett
Journal:  Sports Med       Date:  2004       Impact factor: 11.136

Review 5.  Utility of pedometers for assessing physical activity: convergent validity.

Authors:  Catrine Tudor-Locke; Joel E Williams; Jared P Reis; Delores Pluto
Journal:  Sports Med       Date:  2002       Impact factor: 11.136

Review 6.  Utility of pedometers for assessing physical activity: construct validity.

Authors:  Catrine Tudor-Locke; Joel E Williams; Jared P Reis; Delores Pluto
Journal:  Sports Med       Date:  2004       Impact factor: 11.136

7.  Environmental and psychosocial correlates of accelerometer-assessed and self-reported physical activity in Belgian adults.

Authors:  Delfien Van Dyck; Greet Cardon; Benedicte Deforche; Billie Giles-Corti; James F Sallis; Neville Owen; Ilse De Bourdeaudhuij
Journal:  Int J Behav Med       Date:  2011-09

Review 8.  Cognitive determinants of energy balance-related behaviours: measurement issues.

Authors:  Stef P J Kremers; Tommy L S Visscher; Jacob C Seidell; Willem van Mechelen; Johannes Brug
Journal:  Sports Med       Date:  2005       Impact factor: 11.136

9.  "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

10.  Psychometric Evaluation of the Timeline Followback for Exercise among College Students.

Authors:  Gregory A Panza; Jeremiah Weinstock; Garrett I Ash; Linda S Pescatello
Journal:  Psychol Sport Exerc       Date:  2012-06-20
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