Literature DB >> 15107007

Utility of pedometers for assessing physical activity: construct validity.

Catrine Tudor-Locke1, Joel E Williams, Jared P Reis, Delores Pluto.   

Abstract

Valid assessment of physical activity is necessary to fully understand this important health-related behaviour for research, surveillance, intervention and evaluation purposes. This article is the second in a companion set exploring the validity of pedometer-assessed physical activity. The previous article published in Sports Medicine dealt with convergent validity (i.e. the extent to which an instrument's output is associated with that of other instruments intended to measure the same exposure of interest). The present focus is on construct validity. Construct validity is the extent to which the measurement corresponds with other measures of theoretically-related parameters. Construct validity is typically evaluated by correlational analysis, that is, the magnitude of concordance between two measures (e.g. pedometer-determined steps/day and a theoretically-related parameter such as age, anthropometric measures and fitness). A systematic literature review produced 29 articles published since > or =1980 directly relevant to construct validity of pedometers in relation to age, anthropometric measures and fitness. Reported correlations were combined and a median r-value was computed. Overall, there was a weak inverse relationship (median r = -0.21) between age and pedometer-determined physical activity. A weak inverse relationship was also apparent with both body mass index and percentage overweight (median r = -0.27 and r = -0.22, respectively). Positive relationships regarding indicators of fitness ranged from weak to moderate depending on the fitness measure utilised: 6-minute walk test (median r = 0.69), timed treadmill test (median r = 0.41) and estimated maximum oxygen uptake (median r = 0.22). Studies are warranted to assess the relationship of pedometer-determined physical activity with other important health-related outcomes including blood pressure and physiological parameters such as blood glucose and lipid profiles. The aggregated evidence of convergent validity (presented in the previous companion article) and construct validity herein provides support for considering simple and inexpensive pedometers in both research and practice.

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Year:  2004        PMID: 15107007     DOI: 10.2165/00007256-200434050-00001

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


  41 in total

1.  Validity of accelerometry for the assessment of moderate intensity physical activity in the field.

Authors:  D Hendelman; K Miller; C Baggett; E Debold; P Freedson
Journal:  Med Sci Sports Exerc       Date:  2000-09       Impact factor: 5.411

2.  Activity decreases as percentage overweight increases.

Authors:  W W Tryon; J L Goldberg; D F Morrison
Journal:  Int J Obes Relat Metab Disord       Date:  1992-08

Review 3.  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

4.  Assessment of energy expenditure in overweight women.

Authors:  M Fogelholm; H Hiilloskorpi; R Laukkanen; P Oja; W Van Marken Lichtenbelt; K Westerterp
Journal:  Med Sci Sports Exerc       Date:  1998-08       Impact factor: 5.411

5.  Increasing daily walking lowers blood pressure in postmenopausal women.

Authors:  K L Moreau; R Degarmo; J Langley; C McMahon; E T Howley; D R Bassett; D L Thompson
Journal:  Med Sci Sports Exerc       Date:  2001-11       Impact factor: 5.411

6.  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

7.  Sources of variance in daily physical activity levels as measured by an accelerometer.

Authors:  Charles E Matthews; Barbara E Ainsworth; Raymond W Thompson; David R Bassett
Journal:  Med Sci Sports Exerc       Date:  2002-08       Impact factor: 5.411

8.  Assessing activity in joint replacement patients.

Authors:  C A Zahiri; T P Schmalzried; E S Szuszczewicz; H C Amstutz
Journal:  J Arthroplasty       Date:  1998-12       Impact factor: 4.757

9.  Assessment of physical activity with a pedometer and its relationship with VO2max among adolescents in Switzerland.

Authors:  Pierre-André Michaud; Michel Cauderay; Françoise Narring; Yves Schutz
Journal:  Soz Praventivmed       Date:  2002

10.  Average patient walking activity approaches 2 million cycles per year: pedometers under-record walking activity.

Authors:  Mauricio Silva; Eric F Shepherd; Walter O Jackson; Frederick J Dorey; Thomas P Schmalzried
Journal:  J Arthroplasty       Date:  2002-09       Impact factor: 4.757

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  39 in total

Review 1.  Measurement of human energy expenditure, with particular reference to field studies: an historical perspective.

Authors:  Roy J Shephard; Yukitoshi Aoyagi
Journal:  Eur J Appl Physiol       Date:  2011-12-11       Impact factor: 3.078

Review 2.  Physical activity questionnaires for youth: a systematic review of measurement properties.

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

3.  Evaluation of quality of commercial pedometers.

Authors:  Catrine Tudor-Locke; Susan B Sisson; Sarah M Lee; Cora L Craig; Ronald C Plotnikoff; Adrian Bauman
Journal:  Can J Public Health       Date:  2006 Mar-Apr

Review 4.  Prescribing exercise as preventive therapy.

Authors:  Darren E R Warburton; Crystal Whitney Nicol; Shannon S D Bredin
Journal:  CMAJ       Date:  2006-03-28       Impact factor: 8.262

5.  Accuracy of uniaxial accelerometer in chronic obstructive pulmonary disease.

Authors:  Marilyn L Moy; Eric Garshick; Kirby R Matthess; Robert Lew; John J Reilly
Journal:  J Rehabil Res Dev       Date:  2008

6.  Prediction of VO2max with daily step counts for Japanese adult women.

Authors:  Zhen-Bo Cao; Nobuyuki Miyatake; Mitsuru Higuchi; Kazuko Ishikawa-Takata; Motohiko Miyachi; Izumi Tabata
Journal:  Eur J Appl Physiol       Date:  2008-11-05       Impact factor: 3.078

7.  Long-term Surveillance of Physical Activity Habits of Latinas Enrolled in a 12-Month Physical Activity Intervention.

Authors:  Lucas J Carr; Shira Dunsinger; Bess H Marcus
Journal:  J Phys Act Health       Date:  2016-02-19

Review 8.  Instrument selection for randomized controlled trials: why this and not that?

Authors:  Kathie Records; Colleen Keller; Barbara Ainsworth; Paska Permana
Journal:  Contemp Clin Trials       Date:  2011-10-01       Impact factor: 2.226

9.  The beneficial effects of group-based exercises on fall risk profile and physical activity persist 1 year postintervention in older women with low bone mass: follow-up after withdrawal of exercise.

Authors:  Teresa Y L Liu-Ambrose; Karim M Khan; Janice J Eng; Graham L Gillies; Stephen R Lord; Heather A McKay
Journal:  J Am Geriatr Soc       Date:  2005-10       Impact factor: 5.562

10.  Steps to Better Cardiovascular Health: How Many Steps Does It Take to Achieve Good Health and How Confident Are We in This Number?

Authors:  Catrine Tudor-Locke
Journal:  Curr Cardiovasc Risk Rep       Date:  2010-04-30
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