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Published in: Sports Medicine 5/2004

01-04-2004 | Leading Article

Utility of Pedometers for Assessing Physical Activity

Construct Validity

Authors: Dr Catrine Tudor-Locke, Joel E. Williams, Jared P. Reis, Delores Pluto

Published in: Sports Medicine | Issue 5/2004

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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 ≥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.
Literature
1.
go back to reference Kriska AM, Casperson CJ. A collection of physical activity questionnaires for health-related research. Med Sci Sports Exerc 1997; 29Suppl. 6: S1–205 Kriska AM, Casperson CJ. A collection of physical activity questionnaires for health-related research. Med Sci Sports Exerc 1997; 29Suppl. 6: S1–205
2.
go back to reference Booth M. Assessment of physical activity: an international perspective. Res Q Exerc Sport 2000; 71(2): 114–20 Booth M. Assessment of physical activity: an international perspective. Res Q Exerc Sport 2000; 71(2): 114–20
3.
go back to reference Stewart AL, Mills KM, King AC, et al. CHAMPS physical activity questionnaire for older adults: outcomes for interventions. Med Sci Sports Exerc 2001; 33(7): 1126–41PubMed Stewart AL, Mills KM, King AC, et al. CHAMPS physical activity questionnaire for older adults: outcomes for interventions. Med Sci Sports Exerc 2001; 33(7): 1126–41PubMed
4.
go back to reference LaMonte MJ, Tudor-Locke C, Ainsworth BE. Physical activity. In: Anderson R, editor. Obesity: etiology, assessment, treatment, and prevention. Champaign (IL): Human Kinetics, 2003: 111–37 LaMonte MJ, Tudor-Locke C, Ainsworth BE. Physical activity. In: Anderson R, editor. Obesity: etiology, assessment, treatment, and prevention. Champaign (IL): Human Kinetics, 2003: 111–37
5.
go back to reference Sallis JF, Saelens BE. Assessment of physical activity by self-report: status, limitations, and future directions. Res Q Exerc Sport 2000; 71(2): 1–14 Sallis JF, Saelens BE. Assessment of physical activity by self-report: status, limitations, and future directions. Res Q Exerc Sport 2000; 71(2): 1–14
6.
go back to reference Freedson PS, Miller K. Objective monitoring of physical activity using motion sensors and heart rate. Res Q Exerc Sport 2000; 71(2): 21–9 Freedson PS, Miller K. Objective monitoring of physical activity using motion sensors and heart rate. Res Q Exerc Sport 2000; 71(2): 21–9
7.
go back to reference Moreau KL, DeGarmo R, Langley J, et al. Increasing daily walking lowers blood pressure in postmenopausal women. Med Sci Sports Exerc 2001; 33(11): 1825–31PubMedCrossRef Moreau KL, DeGarmo R, Langley J, et al. Increasing daily walking lowers blood pressure in postmenopausal women. Med Sci Sports Exerc 2001; 33(11): 1825–31PubMedCrossRef
8.
go back to reference Tudor-Locke C, Myers AM, Rodger NW. Formative evaluation of The First Step Program: a practical intervention to increase daily physical activity. Can J Diabetes Care 2000; 24(4): 34–8 Tudor-Locke C, Myers AM, Rodger NW. Formative evaluation of The First Step Program: a practical intervention to increase daily physical activity. Can J Diabetes Care 2000; 24(4): 34–8
9.
go back to reference Tudor-Locke C, Myers AM. Challenges and opportunities for measuring physical activity in sedentary adults. Sports Med 2001; 31(2): 91–100PubMedCrossRef Tudor-Locke C, Myers AM. Challenges and opportunities for measuring physical activity in sedentary adults. Sports Med 2001; 31(2): 91–100PubMedCrossRef
10.
go back to reference Tudor-Locke C, Williams JE, Reis JP, et al. Utility of pedometers for assessing physical activity: convergent validity. Sports Med 2002; 32(12): 795–808PubMedCrossRef Tudor-Locke C, Williams JE, Reis JP, et al. Utility of pedometers for assessing physical activity: convergent validity. Sports Med 2002; 32(12): 795–808PubMedCrossRef
11.
go back to reference Campbell DT, Fiske DW. Convergent and discriminant validation by the multitrait-multimethod matrix. Psychol Bull 1959; 56(2): 81–105PubMedCrossRef Campbell DT, Fiske DW. Convergent and discriminant validation by the multitrait-multimethod matrix. Psychol Bull 1959; 56(2): 81–105PubMedCrossRef
12.
go back to reference Last JM, editor. A dictionary of epidemiology. 4th ed. New York: Oxford University Press, 2001 Last JM, editor. A dictionary of epidemiology. 4th ed. New York: Oxford University Press, 2001
13.
go back to reference Ainsworth BE, Sternfeld B, Slattery ML, et al. Physical activity and breast cancer: evaluation of physical activity assessment methods. Cancer 1998; 83(3): 611–20PubMedCrossRef Ainsworth BE, Sternfeld B, Slattery ML, et al. Physical activity and breast cancer: evaluation of physical activity assessment methods. Cancer 1998; 83(3): 611–20PubMedCrossRef
14.
go back to reference Tudor-Locke C, Myers AM. Methodological considerations for researchers and practitioners using pedometers to measure physical (ambulatory) activity. Res Q Exerc Sport 2001; 72(1): 1–12PubMed Tudor-Locke C, Myers AM. Methodological considerations for researchers and practitioners using pedometers to measure physical (ambulatory) activity. Res Q Exerc Sport 2001; 72(1): 1–12PubMed
15.
go back to reference Matthews CE, Ainsworth BE, Thompson RW, et al. Sources of variance in daily physical activity levels as measured by an accelerometer. Med Sci Sports Exerc 2002; 34(8): 1376–81PubMedCrossRef Matthews CE, Ainsworth BE, Thompson RW, et al. Sources of variance in daily physical activity levels as measured by an accelerometer. Med Sci Sports Exerc 2002; 34(8): 1376–81PubMedCrossRef
16.
go back to reference Hendelman D, Miller K, Baggett C, et al. Validity of accelerometry for the assessment of moderate intensity physical activity in the field. Med Sci Sports Exerc 2000; 32(9): S442–50PubMed Hendelman D, Miller K, Baggett C, et al. Validity of accelerometry for the assessment of moderate intensity physical activity in the field. Med Sci Sports Exerc 2000; 32(9): S442–50PubMed
17.
go back to reference Welk GJ, Differding JA, Thompson RW, et al. The utility of the Digi-walker step counter to assess daily physical activity patterns. Med Sci Sports Exerc 2000; 32(9): S481–8PubMed Welk GJ, Differding JA, Thompson RW, et al. The utility of the Digi-walker step counter to assess daily physical activity patterns. Med Sci Sports Exerc 2000; 32(9): S481–8PubMed
18.
go back to reference Ramirez-Marrero FA, Smith BA, Kirby TE, et al. Evaluation of a step-counter during treadmill walking in 7–12 year old African-American children. J Natl Black Nurses Assoc 2002; 13(1): 1–5PubMed Ramirez-Marrero FA, Smith BA, Kirby TE, et al. Evaluation of a step-counter during treadmill walking in 7–12 year old African-American children. J Natl Black Nurses Assoc 2002; 13(1): 1–5PubMed
19.
go back to reference Eston RG, Rowlands AV, Ingledew DK. Validity of heart rate, pedometry, and accelerometry for predicting the energy cost of children’s activities. J Appl Physiol 1998; 84(1): 362–71PubMed Eston RG, Rowlands AV, Ingledew DK. Validity of heart rate, pedometry, and accelerometry for predicting the energy cost of children’s activities. J Appl Physiol 1998; 84(1): 362–71PubMed
20.
go back to reference Narring F, Cauderay M, Cavadini C, et al. Physical fitness and sport activity of children and adolescents: methodological aspects of a regional survey. Soz Praventivmed 1999; 44(2): 44–54PubMedCrossRef Narring F, Cauderay M, Cavadini C, et al. Physical fitness and sport activity of children and adolescents: methodological aspects of a regional survey. Soz Praventivmed 1999; 44(2): 44–54PubMedCrossRef
21.
go back to reference Michaud PA, Cauderay M, Narring F, et al. Assessment of physical activity with a pedometer and its relationship with V̇O2max among adolescents in Switzerland. Soz Praventivmed 2002; 47(2): 107–15PubMedCrossRef Michaud PA, Cauderay M, Narring F, et al. Assessment of physical activity with a pedometer and its relationship with V̇O2max among adolescents in Switzerland. Soz Praventivmed 2002; 47(2): 107–15PubMedCrossRef
22.
go back to reference Cohen J. Statistical power analysis for the behavioral sciences. 3rd ed. New York: Academic Press, 1988 Cohen J. Statistical power analysis for the behavioral sciences. 3rd ed. New York: Academic Press, 1988
23.
go back to reference Schonhofer B, Ardes P, Geibel M, et al. Evaluation of a movement detector to measure daily activity in patients with chronic lung disease. Eur Respir J 1997; 10(12): 2814–9PubMedCrossRef Schonhofer B, Ardes P, Geibel M, et al. Evaluation of a movement detector to measure daily activity in patients with chronic lung disease. Eur Respir J 1997; 10(12): 2814–9PubMedCrossRef
24.
go back to reference Gardner AW, Sieminski DJ, Killewich LA. The effect of cigarette smoking on free-living daily physical activity in older claudication patients. Angiology 1997; 48(11): 947–55PubMedCrossRef Gardner AW, Sieminski DJ, Killewich LA. The effect of cigarette smoking on free-living daily physical activity in older claudication patients. Angiology 1997; 48(11): 947–55PubMedCrossRef
25.
go back to reference Schmalzried TP, Szuszczewicz ES, Northfield MR, et al. Quantitative assessment of walking activity after total hip or knee replacement. J Bone Joint Surg Am 1998; 80(1): 54–9PubMedCrossRef Schmalzried TP, Szuszczewicz ES, Northfield MR, et al. Quantitative assessment of walking activity after total hip or knee replacement. J Bone Joint Surg Am 1998; 80(1): 54–9PubMedCrossRef
26.
go back to reference Zahiri CA, Schmalzried TP, Szuszczewicz ES, et al. Assessing activity in joint replacement patients. J Arthroplasty 1998; 13(8): 890–5PubMedCrossRef Zahiri CA, Schmalzried TP, Szuszczewicz ES, et al. Assessing activity in joint replacement patients. J Arthroplasty 1998; 13(8): 890–5PubMedCrossRef
27.
go back to reference Yanagimoto Y, Oshida Y, Sato Y. Effects of walking on bone quality determined by ultrasound in the elderly. Scand J Med Sci Sports 2000; 10: 103–8PubMedCrossRef Yanagimoto Y, Oshida Y, Sato Y. Effects of walking on bone quality determined by ultrasound in the elderly. Scand J Med Sci Sports 2000; 10: 103–8PubMedCrossRef
28.
go back to reference Silva M, Shepherd EF, Jackson WO, et al. Average patient walking activity approaches 2 million cycles per year: pedometers under-record walking activity. J Arthroplasty 2002; 17(6): 693–7PubMedCrossRef Silva M, Shepherd EF, Jackson WO, et al. Average patient walking activity approaches 2 million cycles per year: pedometers under-record walking activity. J Arthroplasty 2002; 17(6): 693–7PubMedCrossRef
29.
go back to reference Tsubono Y, Tsuji I, Fujita K, et al. Validation of walking questionnaire for population-based prospective studies in Japan: comparison with pedometer. J Epidemiol 2002; 12(4): 305–9PubMedCrossRef Tsubono Y, Tsuji I, Fujita K, et al. Validation of walking questionnaire for population-based prospective studies in Japan: comparison with pedometer. J Epidemiol 2002; 12(4): 305–9PubMedCrossRef
30.
go back to reference Fukuoka Y, Nakagawa Y, Ogoh K, et al. Dynamics of the heart rate response to sinusoidal work in humans: influence of physical activity and age. Clin Sci (Lond) 2002; 102(1): 31–8CrossRef Fukuoka Y, Nakagawa Y, Ogoh K, et al. Dynamics of the heart rate response to sinusoidal work in humans: influence of physical activity and age. Clin Sci (Lond) 2002; 102(1): 31–8CrossRef
31.
go back to reference Goldsmith AA, Dowson D, Wroblewski BM, et al. Comparative study of the activity of total hip arthroplasty patients and normal subjects. J Arthroplasty 2001; 16(5): 613–9PubMedCrossRef Goldsmith AA, Dowson D, Wroblewski BM, et al. Comparative study of the activity of total hip arthroplasty patients and normal subjects. J Arthroplasty 2001; 16(5): 613–9PubMedCrossRef
32.
go back to reference Edelman B, Smits G. The pedometer: a reassessment of its usefulness in the measurement of activity level. Percept Mot Skills 1984; 58: 151–8CrossRef Edelman B, Smits G. The pedometer: a reassessment of its usefulness in the measurement of activity level. Percept Mot Skills 1984; 58: 151–8CrossRef
33.
go back to reference Tryon WW, Goldberg JL, Morrison DF. Activity decreases as percentage of overweight increases. Int J Obes Relat Metab Disord 1992; 16(8): 591–5PubMed Tryon WW, Goldberg JL, Morrison DF. Activity decreases as percentage of overweight increases. Int J Obes Relat Metab Disord 1992; 16(8): 591–5PubMed
34.
go back to reference Fogelholm M, Hiilloskorpi H, Laukkanen R, et al. Assessment of energy expenditure in overweight women. Med Sci Sports Exerc 1998; 30(8): 1191–7PubMedCrossRef Fogelholm M, Hiilloskorpi H, Laukkanen R, et al. Assessment of energy expenditure in overweight women. Med Sci Sports Exerc 1998; 30(8): 1191–7PubMedCrossRef
35.
go back to reference Rowlands AV, Eston RG, Ingledew DK. Relationship between activity levels, aerobic fitness, and body fat in 8- to 10-yr-old children. J Appl Physiol 1999; 86(4): 1428–35PubMed Rowlands AV, Eston RG, Ingledew DK. Relationship between activity levels, aerobic fitness, and body fat in 8- to 10-yr-old children. J Appl Physiol 1999; 86(4): 1428–35PubMed
36.
go back to reference McClung CD, Zahiri CA, Higa JK, et al. Relationship between body mass index and activity in hip or knee arthorplasty patients. J Orthop Res 2000; 18(1): 35–9PubMedCrossRef McClung CD, Zahiri CA, Higa JK, et al. Relationship between body mass index and activity in hip or knee arthorplasty patients. J Orthop Res 2000; 18(1): 35–9PubMedCrossRef
37.
go back to reference Tudor-Locke C, Ainsworth BE, Whitt MC, et al. The relationship between pedometer-determined ambulatory activity and body composition variables. Int J Obes 2001; 25: 1571–8CrossRef Tudor-Locke C, Ainsworth BE, Whitt MC, et al. The relationship between pedometer-determined ambulatory activity and body composition variables. Int J Obes 2001; 25: 1571–8CrossRef
38.
go back to reference Tudor-Locke C, Bell RC, Myers AM, et al. Pedometer-determined ambulatory activity in individuals with type 2 diabetes. Diabetes Res Clin Pract 2002; 55(3): 191–9PubMedCrossRef Tudor-Locke C, Bell RC, Myers AM, et al. Pedometer-determined ambulatory activity in individuals with type 2 diabetes. Diabetes Res Clin Pract 2002; 55(3): 191–9PubMedCrossRef
39.
go back to reference Vincent SD, Pangrazi RP. An examination of the activity patterns of elementary school children. Pediatr Exerc Sci 2002; 14(4): 432–41 Vincent SD, Pangrazi RP. An examination of the activity patterns of elementary school children. Pediatr Exerc Sci 2002; 14(4): 432–41
40.
go back to reference Rozkovec A, Papouchado M, James MA, et al. The relationship of symptoms to performance in paced patients with breathlessness. Eur Heart J 1989; 10: 63–8PubMed Rozkovec A, Papouchado M, James MA, et al. The relationship of symptoms to performance in paced patients with breathlessness. Eur Heart J 1989; 10: 63–8PubMed
41.
go back to reference Cowley AJ, Fullwood LJ, Muller AF, et al. Exercise capability in heart failure: is cardiac output important after all? Lancet 1991; 337: 771–3PubMedCrossRef Cowley AJ, Fullwood LJ, Muller AF, et al. Exercise capability in heart failure: is cardiac output important after all? Lancet 1991; 337: 771–3PubMedCrossRef
42.
go back to reference Ichihara Y, Hattorf R, Anno T, et al. Oxygen uptake and its relation to physical activity and other coronary risk factors in asymptomatic middle-aged Japanese. J Cardiopulm Rehabil 1996; 16(6): 378–85PubMedCrossRef Ichihara Y, Hattorf R, Anno T, et al. Oxygen uptake and its relation to physical activity and other coronary risk factors in asymptomatic middle-aged Japanese. J Cardiopulm Rehabil 1996; 16(6): 378–85PubMedCrossRef
43.
go back to reference Sieminski DJ, Gardner AW. The relationship between free-living daily physical activity and the severity of peripheral arterial occlusive disease. Vasc Med 1997; 2: 286–91PubMed Sieminski DJ, Gardner AW. The relationship between free-living daily physical activity and the severity of peripheral arterial occlusive disease. Vasc Med 1997; 2: 286–91PubMed
44.
go back to reference Gardner AW, Montgomery PS, Womack CJ, et al. Smoking history is related to free-living daily physical activity in claudicants. Med Sci Sports Exerc 1999; 31(7): 980–6PubMedCrossRef Gardner AW, Montgomery PS, Womack CJ, et al. Smoking history is related to free-living daily physical activity in claudicants. Med Sci Sports Exerc 1999; 31(7): 980–6PubMedCrossRef
45.
go back to reference Nasr MK, McCarthy RJ, Walker RA, et al. The role of pedometers in assessment of inermittent claudication. Eur J Vasc Endovasc Surgery 2002; 23: 317–20CrossRef Nasr MK, McCarthy RJ, Walker RA, et al. The role of pedometers in assessment of inermittent claudication. Eur J Vasc Endovasc Surgery 2002; 23: 317–20CrossRef
46.
go back to reference Houghton AR, Harrison M, Cowley AJ, et al. Assessing exercise capacity, quality of life and haemodynamics in heart failure: do the tests tell us the same thing? Eur J Heart Fail 2002; 4(3): 289–95PubMedCrossRef Houghton AR, Harrison M, Cowley AJ, et al. Assessing exercise capacity, quality of life and haemodynamics in heart failure: do the tests tell us the same thing? Eur J Heart Fail 2002; 4(3): 289–95PubMedCrossRef
47.
go back to reference Tudor-Locke C, Ainsworth BE, Thompson RW, et al. Comparison of pedometer and accelerometer measures of free-living physical activity. Med Sci Sports Exerc 2002; 34(12): 2045–51PubMedCrossRef Tudor-Locke C, Ainsworth BE, Thompson RW, et al. Comparison of pedometer and accelerometer measures of free-living physical activity. Med Sci Sports Exerc 2002; 34(12): 2045–51PubMedCrossRef
Metadata
Title
Utility of Pedometers for Assessing Physical Activity
Construct Validity
Authors
Dr Catrine Tudor-Locke
Joel E. Williams
Jared P. Reis
Delores Pluto
Publication date
01-04-2004
Publisher
Springer International Publishing
Published in
Sports Medicine / Issue 5/2004
Print ISSN: 0112-1642
Electronic ISSN: 1179-2035
DOI
https://doi.org/10.2165/00007256-200434050-00001

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