Literature DB >> 12238942

Utility of pedometers for assessing physical activity: convergent validity.

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

Abstract

Valid assessment of physical activity is important to researchers and practitioners interested in surveillance, screening, programme evaluation and intervention. The validity of an assessment instrument is commonly considered its most important attribute. Convergent validity is the extent to which an instrument's output is associated with that of other instruments intended to measure the same exposure of interest. A systematic review of the literature produced 25 articles directly relevant to the question of convergent validity of pedometers against accelerometers, observation, and self-reported measures of physical activity. Reported correlations were pooled and a median r-value was computed. Pedometers correlate strongly (median r = 0.86) with different accelerometers (specifically uniaxial accelerometers) depending on the specific instruments used, monitoring frame and conditions implemented, and the manner in which the outputs are expressed. Pedometers also correlate strongly (median r = 0.82) with time in observed activity. Time in observed inactivity correlated negatively with pedometer outputs (median r = -0.44). The relationship with observed steps taken depended upon monitoring conditions and speed of walking. The highest agreement was apparent during ambulatory activity (running, walking) or during sitting (when both observation and pedometers would register few steps taken). There was consistent evidence of reduced accuracy during slow walking. Pedometers correlate moderately with different measures of energy expenditure (median r = 0.68). The relationship between pedometer outputs and energy expenditure is complicated by the use of many different direct and indirect measures of energy expenditure and population samples. Concordance with self-reported physical activity (median r = 0.33) varied depending upon the self-report instrument used, individuals assessed, and how pedometer outputs are expressed (e.g. steps, distance travelled, energy expenditure). Pedometer output has an inverse relationship with reported time spent sitting (r = -0.38). The accumulated evidence herein provides ample support that the simple and inexpensive pedometer is a valid option for assessing physical activity in research and practice.

Mesh:

Year:  2002        PMID: 12238942     DOI: 10.2165/00007256-200232120-00004

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


  38 in total

1.  Physical activity assessment with accelerometers.

Authors:  K R Westerterp
Journal:  Int J Obes Relat Metab Disord       Date:  1999-04

2.  Comparisons of four methods of estimating physical activity in adult women.

Authors:  W M Sherman; H N Nagaraja
Journal:  Med Sci Sports Exerc       Date:  2000-07       Impact factor: 5.411

3.  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

4.  Validity of four motion sensors in measuring moderate intensity physical activity.

Authors:  D R Bassett; B E Ainsworth; A M Swartz; S J Strath; W L O'Brien; G A King
Journal:  Med Sci Sports Exerc       Date:  2000-09       Impact factor: 5.411

5.  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

6.  Correlations of pedometer readings with energy expenditure in workers during free-living daily activities.

Authors:  H Kashiwazaki; T Inaoka; T Suzuki; Y Kondo
Journal:  Eur J Appl Physiol Occup Physiol       Date:  1986

7.  Industrial hygienic study on nursing activities comparison of energy expenditure between pedometer and Holter electrocardiograph.

Authors:  S Irimagawa; S Imamiya
Journal:  Kitasato Arch Exp Med       Date:  1993-04

8.  The John Charnley Award. Wear is a function of use, not time.

Authors:  T P Schmalzried; E F Shepherd; F J Dorey; W O Jackson; M dela Rosa; F Fa'vae; H A McKellop; C D McClung; J Martell; J R Moreland; H C Amstutz
Journal:  Clin Orthop Relat Res       Date:  2000-12       Impact factor: 4.176

9.  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

10.  Physical activity assessment using a pedometer and its comparison with a questionnaire in a large population survey.

Authors:  M M Sequeira; M Rickenbach; V Wietlisbach; B Tullen; Y Schutz
Journal:  Am J Epidemiol       Date:  1995-11-01       Impact factor: 4.897

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  115 in total

1.  Sisters in motion: a randomized controlled trial of a faith-based physical activity intervention.

Authors:  O Kenrik Duru; Catherine A Sarkisian; Mei Leng; Carol M Mangione
Journal:  J Am Geriatr Soc       Date:  2010-10       Impact factor: 5.562

Review 2.  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 3.  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

Review 4.  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

Review 5.  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

6.  Comparison of two waist-mounted and two ankle-mounted electronic pedometers.

Authors:  Murat Karabulut; Scott E Crouter; David R Bassett
Journal:  Eur J Appl Physiol       Date:  2005-10-27       Impact factor: 3.078

7.  Meteorology and the physical activity of the elderly: the Nakanojo Study.

Authors:  Fumiharu Togo; Eiji Watanabe; Hyuntae Park; Roy J Shephard; Yukitoshi Aoyagi
Journal:  Int J Biometeorol       Date:  2005-07-26       Impact factor: 3.787

8.  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

9.  Steps/day and metabolic syndrome in African American adults: the Jackson Heart Study.

Authors:  Robert L Newton; Hongmei Han; William D Johnson; DeMarc A Hickson; Timothy S Church; Herman A Taylor; Catrine Tudor-Locke; Patricia M Dubbert
Journal:  Prev Med       Date:  2013-10-03       Impact factor: 4.018

10.  Does timing and sequencing of transitions to adulthood make a difference? Stress, smoking, and physical activity among young Australian women.

Authors:  Sandra Bell; Christina Lee
Journal:  Int J Behav Med       Date:  2006
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