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Self-Administered Physical Activity Questionnaires for the Elderly

A Systematic Review of Measurement Properties

Sports Medicine volume 40, pages 601–623 (2010)Cite this article

Abstract

Objective: To systematically review and appraise studies examining self-administered physical activity questionnaires (PAQ) for the elderly. This article is one of a group of four articles in Sports Medicine on the content and measurement properties of PAQs.

Literature Search Methodology: Searches in Pub Med, EMBASE and Sport Discus® (until May 2009) on self-administered PAQ. Inclusion criteria were as follows: (i) the study examined (at least one of) the measurement properties of a self-administered PAQ; (ii) the questionnaire aimed to measure physical activity (PA) in older people; (iii) the average age of the study population was >55 years; (iv) the article was written in English. We excluded PA interviews, diaries and studies that evaluated the measurement properties of a self-administered PAQ in a specific population, such as patients. We used a standard checklist (qualitative attributes and measurement properties of PA questionnaires [QAPAQ]) for appraising the measurement properties of PAQs.

Findings: Eighteen articles on 13 PAQs were reviewed, including 16 reliability analyses and 25 validity analyses (of which 15 were on construct validity, seven on health/functioning associations, two on known-groups validity and one on responsiveness). Many studies suffered from methodological flaws, e.g. too small sample size or inadequate time interval between test and retest. Three PAQs received a positive rating on reliability: IPAQ-C (International Physical Activity Questionnaire—Chinese), intraclass correlation coefficient (ICC) ≥0.81; WHI-PAQ (Women’s Health InitiativePAQ), ICC = 0.76; and PASE (Physical Activity Scale for the Elderly), Pearson correlation coefficient (r) = 0.84. However, PASE was negatively rated on reliability in another study (ICC = 0.65). One PAQ received a positive rating on construct validity: PASE against Mini-Logger (r > 0.52), but PASE was negatively rated in another study against accelerometer and another PAQ, Spearman correlation coefficient = 0.17 and 0.48, respectively. Three of the 13 PAQs were tested for health/functioning associations and all three were positively rated in some categories of PA in many studies (r > 0.30).

Conclusions: Even though several studies showed an association between the tested PAQ and health/functioning variables, the knowledge about reliability and construct validity of self-administrated PAQs for older adults is still scarce and more high-quality validation studies are needed.

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References

  1. Chinapaw MJM, Mokkink LB, Van Poppel MNM, et al. Physical activity questionnaires for youth: a systematic reviewof measurement properties. Sports Med 2010; 40 (7): 539–63

    PubMed  Article  Google Scholar 

  2. Terwee CB, Mokkink LB, Van Poppel MNM, et al. Qualitative attributes and measurement properties of physical activityquestionnaires: a checklist. Sports Med 2010; 40 (7): 525–37

    PubMed  Article  Google Scholar 

  3. Van Poppel MNM, Chinapaw MJM, Mokkink LB, et al. Physical activity questionnaires for adults: a systematic reviewof measurement properties. Sports Med 2010; 40 (7): 565–600

    PubMed  Article  Google Scholar 

  4. Nelson ME, Rejeski WJ, Blair SN, et al. Physical activity and public health in older adults: recommendationfrom the American College of Sports Medicine and theAmerican Heart Association. Med Sci Sports Exerc 2007; 39 (8): 1435–45

    PubMed  Article  Google Scholar 

  5. American College of Sports Medicine, Chodzko-Zajko WJ, Proctor DN, et al. American College of Sports Medicineposition stand: exercise and physical activity for olderadults. Med Sci Sports Exerc 2009; 41 (7): 1510–30

    PubMed  Article  Google Scholar 

  6. Stewart KJ. Physical activity and aging. Ann N Y Acad Sci 2005; 1055: 193–206

    PubMed  Article  Google Scholar 

  7. Taylor AH, Cable NT, Faulkner G, et al. Physical activity and older adults: a review of health benefits and the effectivenessof interventions. J Sports Sci 2004; 22 (8): 703–25

    PubMed  Article  CAS  Google Scholar 

  8. Jørstad-Stein EC, Hauer K, Becker C, et al. Suitability of physical activity questionnaires for older adults in fallpreventiontrials: a systematic review. J Aging Phys Act 2005; 13 (4): 461–81

    PubMed  Google Scholar 

  9. Prevention of Falls Network Europe [online]. Available from URL: http://www.profane.eu.org [Accessed 2010 May 11]

  10. European Network for Action on Ageing and Physical Activity [online]. Available from URL: http://www.eunaapa.org/ [Accessed 2010 May 11]

  11. de Vet HCW. Observer reliability and agreement. In: Armitage P, Colton T, editors. Encyclopedia of biostatistics. Boston (MA): John Wiley & Sons Ltd., 1998: 3123–8

    Google Scholar 

  12. Terwee CB, Bot SD, de Boer MR, et al. Quality criteria were proposed for measurement properties of health statusquestionnaires. J Clin Epidemiol 2007; 60 (1): 34–42

    PubMed  Article  Google Scholar 

  13. Schuit AJ, Schouten EG, Westerterp KR, et al. Validity of the Physical Activity Scale for the Elderly (PASE): accordingto energy expenditure assessed by the doubly labeledwater method. J Clin Epidemiol 1997; 50 (5): 541–6

    PubMed  Article  CAS  Google Scholar 

  14. Masse LC, Fulton JE, Watson KL, et al. Influence of body composition on physical activity validation studies usingdoubly labeled water. J Appl Physiol 2004; 96 (4): 1357–64

    PubMed  Article  Google Scholar 

  15. Lamonte MJ, Ainsworth BE. Quantifying energy expenditure and physical activity in the context of dose response. Med Sci Sports Exerc 2001; 33 (6 Suppl.): S370–8; discussion S419-20

    Google Scholar 

  16. Guyatt GH, Deyo RA, Charlson M, et al. Responsiveness and validity in health status measurement: a clarification. J Clin Epidemiol 1989; 42 (5): 403–8

    PubMed  Article  CAS  Google Scholar 

  17. Kazis LE, Anderson JJ, Meenan RF. Effect sizes for interpreting changes in health status. Med Care 1989; 27 (3 Suppl.): S178–89

    PubMed  Article  CAS  Google Scholar 

  18. Bonnefoy M, Kostka T, Berthouze SE, et al. Validation of a physical activity questionnaire in the elderly. Eur J Appl Physiol Occup Physiol 1996; 74 (6): 528–33

    PubMed  Article  CAS  Google Scholar 

  19. Cust AE, Smith BJ, Chau J, et al. Validity and repeatability of the EPIC physical activity questionnaire: a validationstudy using accelerometers as an objective measure. Int JBehav Nutr Phys Act 2008; 5: 33

    Article  Google Scholar 

  20. Cyarto EV, Marshall AL, Dickinson RK, et al. Measurement properties of the CHAMPS physical activity questionnairein a sample of older Australians. J Sci Med Sport 2006; 9 (4): 319–26

    PubMed  Article  CAS  Google Scholar 

  21. Deng HB, Macfarlane DJ, Thomas GN, et al. Reliability and validity of the IPAQ-Chinese: the Guangzhou Biobank Cohort study. Med Sci Sports Exerc 2008; 40 (2): 303–7

    PubMed  Article  Google Scholar 

  22. Giles K, Marshall AL. Repeatability and accuracy of CHAMPS as a measure of physical activity in a community sample ofolder Australian adults. J Phys Act Health 2009; 6 (2): 221–9

    PubMed  Google Scholar 

  23. Hagiwara A, Ito N, Sawai K, et al. Validity and reliability of the Physical Activity Scale for the Elderly (PASE) inJapanese elderly people. Geriatr Gerontol Int 2008; 8 (3): 143–51

    PubMed  Article  Google Scholar 

  24. Harada ND, Chiu V, King AC, et al. An evaluation of three self-report physical activity instruments for older adults. Med Sci Sports Exerc 2001; 33 (6): 962–70

    PubMed  Article  CAS  Google Scholar 

  25. Matton L, Wijndaele K, Duvigneaud N, et al. Reliability and validity of the Flemish Physical Activity Computerized Questionnaire in adults. Res Q Exerc Sport 2007; 78 (4): 293–306

    PubMed  Article  Google Scholar 

  26. Meyer AM, Evenson KR, Morimoto L, et al. Test-retest reliability of the Women’s Health Initiative physical activityquestionnaire. Med Sci Sports Exerc 2009; 41 (3): 530–8

    PubMed  Article  Google Scholar 

  27. O’Brien-Cousins S. An older adult exercise status inventory: reliability and validity. J Sport Behav 1996; 19 (4): 288–306

    Google Scholar 

  28. Orsini N, Bellocco R, Bottai M, et al. Reproducibility of the past year and historical self-administered total physicalactivity questionnaire among older women. Eur J Epidemiol 2007; 22 (6): 363–8

    PubMed  Article  Google Scholar 

  29. Orsini N, Bellocco R, Bottai M, et al. Validity of selfreported total physical activity questionnaire among olderwomen. Eur J Epidemiol 2008; 23 (10): 661–7

    PubMed  Article  Google Scholar 

  30. Pols MA, Peeters PH, Kemper HC, et al. Repeatability and relative validity of two physical activity questionnaires inelderly women. Med Sci Sports Exerc 1996; 28 (8): 1020–5

    PubMed  Article  CAS  Google Scholar 

  31. 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): 1126–41

    PubMed  CAS  Google Scholar 

  32. Taylor-Piliae RE, Norton LC, Norton LC, et al. Validation of a new brief physical activity survey among men and womenaged 6069 years. Am J Epidemiol 2006; 164 (6): 598–606

    PubMed  Article  Google Scholar 

  33. Washburn RA, Smith KW, Jette AM, et al. The Physical Activity Scale for the Elderly (PASE): development andevaluation. J Clin Epidemiol 1993; 46 (2): 153–62

    PubMed  Article  CAS  Google Scholar 

  34. Yasunaga A, Park H, Watanabe E, et al. Development and evaluation of the physical activity questionnaire for elderlyJapanese: the Nakanojo study. J Aging Phys Act 2007; 15 (4): 398–411

    PubMed  Google Scholar 

  35. Unit for Public Health Nutrition; Unit for Preventive nutrition. International Physical Activity Questionnaire(IPAQ) [online]. Available from URL: http://www.ipaq.ki.se [Accessed 2010 May 11]

  36. Dinger MK, Oman RF, Taylor EL, et al. Stability and convergent validity of the Physical Activity Scale for the Elderly(PASE). J Sports Med Phys Fitness 2004; 44 (2): 186–92

    PubMed  CAS  Google Scholar 

  37. Pols MA, Peeters PH, Kemper HC, et al. Methodological aspects of physical activity assessment in epidemiologicalstudies. Eur J Epidemiol 1998; 14 (1): 63–70

    PubMed  Article  CAS  Google Scholar 

  38. Ferrari P, Friedenreich C, Matthews CE. The role of measurement error in estimating levels of physical activity. AmJ Epidemiol 2007; 166: 832–40

    Article  Google Scholar 

  39. Altschuler A, Picchi T, Nelson M, et al. Physical activity questionnaire comprehension: lessons from cognitive interviews. Med Sci Sports Exerc 2009; 41 (2): 336–43

    PubMed  Article  Google Scholar 

Download references

Acknowledgements

The collaboration for this manuscript was planned at one of the meetings of the European Network for Action on Ageing and Physical Activity (EUNAAPA). The authors thank the European Commission, Directorate C – Public Health and Risk Assessment, for this network under the programme of community action in the field of public health (2003–8). The content of the article does not represent the opinion of the European Community, and the European Commission is not responsible for any use that might be made of the information presented in the text.

No sources of funding were used in the preparation of this article. The authors have no conflicts of interest that are directly relevant to the content of this article.

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Affiliations

  1. Norwegian Institute of Public Health, Division of Epidemiology, Marcus Thranes Gate 6, PO Box 4404, NO-0403, Oslo, Norway

    Lisa Forsén PhD

  2. Faculty of Health Science, Oslo University College, Oslo, Norway

    Nina Waaler Loland

  3. Nancy-Université, Université Paul Verlaine Metz, Université Paris Descartes, EA 4360 Apemac, Nancy, France

    Anne Vuillemin

  4. Department of Public and Occupational Health and the EMGO Institute for Health and Care Research, VU University Medical Center, Amsterdam, the Netherlands

    Mai J. M. Chinapaw, Mireille N. M. van Poppel & Willem van Mechelen

  5. Department of Epidemiology and Biostatistics and the EMGO Institute for Health and Care Research, VU University Medical Center, Amsterdam, the Netherlands

    Lidwine B. Mokkink & Caroline B. Terwee

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  1. Lisa Forsén PhD
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  2. Nina Waaler Loland
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  3. Anne Vuillemin
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  4. Mai J. M. Chinapaw
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Correspondence to Lisa Forsén PhD.

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Forsén, L., Loland, N.W., Vuillemin, A. et al. Self-Administered Physical Activity Questionnaires for the Elderly. Sports Med 40, 601–623 (2010). https://doi.org/10.2165/11531350-000000000-00000

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Keywords

  • Physical Activity
  • Intraclass Correlation Coefficient
  • Measurement Property
  • Pase
  • Light Activity