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Comparison of the Danish Physical Activity Questionnaire with a validated position and motion instrument

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Abstract

Objective To compare the Danish Physical Activity Questionnaire (DPAQ) estimating physical activity energy expenditure (PAEE) and physical activity level (PAL) and the pattern of physical activity (including health-related physical activity) with measurements from a validated position and motion instrument (ActiReg®). Methods One hundred and thirty-eight healthy Danish volunteers aged 20–59 years participated. Participants filled in the DPAQ at the end of the day every day for seven consecutive days and carried the ActiReg® on the same days as the DPAQ were filled in. Results A small, but statistically significant difference was seen between the DPAQ and the ActiReg® for PAEE (mean: −0.32 MJ·d−1; 95% limits of agreement: ((−2.88)–2.24 MJ·d−1); = 0.003) and PAL (−0.03; ((−0.37)–0.31); = 0.02) for the whole group and for women (< 0.008 for PAEE and PAL), but not for men. The correlation between methods was good for PAEE (= 0.71, < 0.001) and PAL (= 0.64, < 0.001). No difference was observed for time spent in moderate plus vigorous physical activity (MVPA) (= 0.40). Time reported in MVPA with the DPAQ was positively correlated with time spent in MVPA measured by the ActiReg® (ρ = 0.53, < 0.001). Conclusions Although the volunteer sample may influence the representativeness of the results, the DPAQ provided a close estimate of PAEE, PAL (2–5% underestimation) and health-related physical activity (MVPA) in healthy adults at group level. The results indicate that the questionnaire can be used to rank individuals according to energy expenditure and level of total physical activity and to provide information on health-related physical activity.

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Abbreviations

AF:

Activity factor

DPAQ:

The Danish Physical Activity Questionnaire

IPAQ:

The International Physical Activity Questionnaire

MET:

Metabolic equivalent

MVPA:

Moderate plus vigorous physical activity

PAEE:

Physical activity energy expenditure

PAL:

Physical activity level

TEE:

Total energy expenditure

References

  1. U.S. Department of Health and Human Services Physical Activity and Health: a report of the surgeon general. Atlanta GA: U.S. Department of Health and Human services, Center for Disease Control and Prevention, National Center for Chronic Disease Prevention and Health Promotion, 1996.

  2. World Health Organisation. Diet, nutrition and the prevention of chronic diseases. Joint WHO/FAO expert consultation. WHO technical report series no. 916. Geneva: WHO, 2003.

  3. Kriska AM, Caspersen CJ. Introduction to a collection of physical activity questionnaires. Med Sci Sports Exerc 1997;29:S5–9.

    Google Scholar 

  4. Sjöström M, Ekelund U, Yngve A. Assessment of physical activity. In: Gibney MJ, Arab L, Margetts B, editors. Public health nutrition. United Kingdom: Nutrition Society, Blackwell Publishing; 2004. p. 83–105.

  5. Sallis JF, Saelens BE. Assessment of physical activity by self-report: status, limitations, and future directions. Res Q Exerc Sport 2000;71:S1–14.

    PubMed  CAS  Google Scholar 

  6. Black AE. Critical evaluation of energy intake using the Goldberg cut-off for energy intake: basal metabolic rate. A practical guide to its calculation, use and limitation. Int J Obes 2000;24:1119–30.

    Article  CAS  Google Scholar 

  7. Craig CL, Marshall AL, Sjöström M, Bauman AE, Booth ML, Ainsworth BE, et al. International physical activity questionnaire: 12-country reliability and validity. Med Sci Sports Exerc 2003;35:1381–95.

    Article  PubMed  Google Scholar 

  8. Ekelund U, Sepp H, Brage S, Becker W, Jakes R, Hennings M, et al. Criterion-related validity of the last 7-day, short form of the International Physical Activity Questionnaire in Swedish adults. Public Health Nutr 2006;9:258–65.

    Article  PubMed  Google Scholar 

  9. Jacobs DR Jr, Ainsworth BE, Hartman TJ, Leon AS. A simultaneous evaluation of 10 commonly used physical activity questionnaires. Med Sci Sports Exerc 1993;25:81–91.

    Article  PubMed  Google Scholar 

  10. Ainsworth BE, Haskell WL, Leon AS, Jacobs DR Jr, Montoye HJ, Sallis JF, et al. Compendium of physical activities: classification of energy costs of human physical activities. Med Sci Sports Exerc 1993;25:71–80.

    Article  PubMed  CAS  Google Scholar 

  11. Ainsworth BE, Haskell WL, Whitt MC, Irwin ML, Swartz AM, Strath SJ, et al. Compendium of physical activities: an update of activity codes and MET intensities. Med Sci Sports Exerc 2000;32:S498–504.

    Article  PubMed  CAS  Google Scholar 

  12. Food and Agriculture Organization/World Health Organization/United Nations University. Energy and protein requirements. Joint FAO/WHO/UNU expert consultation. WHO technical report series no. 724. Geneva: WHO, 1985.

  13. Hustvedt BE, Christophersen A, Johnsen LR, Tomten H, McNeill G, Haggarty P, et al. Description and validation of the ActiReg: a novel instrument to measure physical activity and energy expenditure. Br J Nutr 2004;92:1001–8.

    Article  PubMed  CAS  Google Scholar 

  14. Garby L, Garrow JS, Jørgensen B, Lammert O, Madsen K, Sørensen P, et al. Relation between energy expenditure and body composition in man: specific energy expenditure in vivo of fat and fat-free tissue. Eur J Clin Nutr 1988;42:301–5.

    PubMed  CAS  Google Scholar 

  15. Heitmann BL. Prediction of body water and fat in adult Danes from measurement of electrical impedance. Int J Obes 1990;14:789–802.

    PubMed  CAS  Google Scholar 

  16. Saltin B, Grimby G. Physiological analysis of middle-aged and older former athletes. Comparison with still active athletes of the same ages. Circulation 1968;38:1104–15.

    PubMed  CAS  Google Scholar 

  17. Rasmussen LB, Matthiessen J, Biltoft-Jensen A, Tetens I. Characteristics of misreporters of dietary intake and physical activity. Public Health Nutr 2007;10:230–7.

    Article  PubMed  Google Scholar 

  18. Bland JM, Altman DG. Statistical methods for assessing agreement between two methods of clinical measurement. Lancet 1986;1:307–10.

    PubMed  CAS  Google Scholar 

  19. Altman DG. Some common problems in medical research. In: Practical statistics for medical research. 1st ed. London: Chapman & Hall; 1991. p. 396–439.

  20. Kurtze N, Rangul V, Hustvedt BE, Flanders D. Reliability and validity of self-reported physical activity in the Nord-Trondelag Health Study (HUNT 2). Eur J Epidemiol 2007;22:379–87.

    Article  PubMed  Google Scholar 

  21. Damm FR. Måling av fysisk aktivitet og energiforbruk i dagliglivet. Validering av spørgeskemaet ‘HYRIM physical activity questionnaire’ mot ActiReg® og pulsmåler. (Measurement of physical activity and energy expenditure in everyday life. Validation of the physical activity questionnaire; ‘HYRIM physical activity questionnaire’ against ActiReg® and heart rate) [Master thesis, in Norwegian]. Oslo, Norway: Norges Idrettshøgskole (NIH); 1999. 52 pp.

  22. Solberg M, Anderssen SA. Utarbeidelse av målemetoder for måling av fysisk aktivitet. Utvikling og validering av spørgeskjema for ungdom og voksne. (Developing methods for measuring physical activity. Development and validation of questionnaires for youth and adults) [Report, in Norwegian]. Oslo, Norway: Norges Idrettshøgskole (NIH); 2002. 32 pp.

  23. Koebnick C, Wagner K, Thielecke F, Moeseneder J, Hoehne A, Franke A, et al. Validation of a simplified physical activity record by doubly labeled water technique. Int J Obes 2005;29:302–9.

    Article  CAS  Google Scholar 

  24. Rennie KL, Wareham NJ. The validation of physical activity instruments for measuring energy expenditure: problems and pitfalls. Pub Health Nutr 1998;1:265–71.

    Article  CAS  Google Scholar 

  25. Wareham NJ, Rennie KL. The assessment of physical activity in individuals and populations: why try to be more precise about how physical activity is assessed? Int J Obes Relat Metab Disord 1998;22:S30–8.

    PubMed  Google Scholar 

  26. Conway JM, Irwin ML, Ainsworth BE. Estimating energy expenditure from the Minnesota Leisure Time Physical Activity and Tecumseh Occupational Activity questionnaires—a doubly labeled water validation. J Clin Epidemiol 2002;55:392–9.

    Article  PubMed  Google Scholar 

  27. Conway JM, Seale JL, Jacobs DR Jr, Irwin ML, Ainsworth BE. Comparison of energy expenditure estimates from doubly labeled water, a physical activity questionnaire, and physical activity records. Am J Clin Nutr 2002;75:519–25.

    PubMed  CAS  Google Scholar 

  28. Lillegaard IT, Andersen LF. Validation of a pre-coded food diary with energy expenditure, comparison of underreporters v. acceptable reporters Br J Nutr 2005;94:998–1003.

    Article  PubMed  CAS  Google Scholar 

  29. Andersen LF, Pollestad ML, Jacobs Jr DR, Løvø A, Hustvedt BE. Validation of a pre-coded food diary used among 13-year-olds: comparison of energy intake with energy expenditure Public Health Nutr 2005;8:1315–21.

    Article  PubMed  Google Scholar 

  30. Duncan GE, Sydeman SJ, Perri MG, Limacher MC, Martin DA. Can sedentary adults recall the intensity of their physical activity? Prev Med 2001;33:18–26.

    Article  PubMed  CAS  Google Scholar 

  31. Levine JA. Measurement of energy expenditure. Public Health Nutr 2005;8:1123–32.

    Article  PubMed  Google Scholar 

  32. Shephard RJ. Limits to the measurements of habitual physical activity by questionnaires. Br J Sports Med 2003;37:197–206.

    Article  PubMed  CAS  Google Scholar 

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Acknowledgements

The authors are grateful to all volunteers who participated in the study and to technician Hanne-Jette Hinsch for her efforts in scanning the collected data and Henrik Bach Hartkopp (both Department of Nutrition, National Food Institute) for his enthusiasm in developing a program (ACTIADJUST) to process the collected data from the DPAQ. The authors also wish to thank Inge Tetens (Head of Department of Nutrition, National Food Institute) and senior researcher Anne Marie Beck (Department of Nutrition, National Food Institute) for their valuable comments to the manuscript. There are no conflicts of interest.

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Correspondence to Jeppe Matthiessen.

Appendix I

Appendix I

Self-registered time in the DPAQ

Mean registered time per day in the DPAQ was 22.8 h (SD 2.1 h) and 67% of all reporting days ranged between 22 and 26 h per day. No difference in mean registered time per day was seen between genders (= 0.87). Fifty-five percent of all the participants reported being physical active as usual during the data collection period, while 32% reported being a little less active than normal.

Procedure for correcting self-registered time to 24 h per day

If self-registered time including sleep did not add up to 24 h per day, the time was corrected to 24 h per day by adding missing time or subtracting over-reported time. When self-registered time was higher than 24 h per day, potential double registrations were controlled for relevant activities in the context for which they may be undertaken, e.g. walking as transport or as leisure-time activity. Over-reported time was corrected for double registered time, and then for time spent sleeping, as this was an average value. If this was not sufficient to reach 24 h per day, a down adjustment of all the registered time was made except for occupational activity as total working time was assumed to be the most reliable estimate of all in the DPAQ.

MET values assigned to each self-reported physical activity category in the DPAQ. METs were obtained from international tables [7] and from a compendium of physical activities [10, 11]

Activity domain

Activity type/level

Self-reported pace

MET

Occupational

Vigorous

 

8

Moderate

 

4

Light

 

2.3

Sitting

 

1.3

Walking/cycling

Vigorous

5

Moderate

3.3

Slow

2.5

Transport

Sitting

 

1.3

Cycling

Vigorous

8

Moderate

6

Slow

4

Walking

Vigorous

5

Moderate

3.3

Slow

2.5

Yard/garden

Vigorous

 

5.5

Moderate

 

4.0

Light

 

2.5

Household

Vigorous

 

4.0

Moderate

 

3.0

Light

 

2.3

Leisure

Walking

Vigorous

5

Moderate

3.3

Slow

2.5

Vigorous

 

8.0

Moderate

 

4.0

Light

 

2.5

Sitting leisure

Home

 

1.3

Outside home

 

1.3

Sleep

  

1.0

Missing timea

  

1.6

  1. aRepresents a time-weighted average of typical everyday life activities like sitting, light household chores, self-care, and social and cultural activities

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Matthiessen, J., Biltoft-Jensen, A., Rasmussen, L.B. et al. Comparison of the Danish Physical Activity Questionnaire with a validated position and motion instrument. Eur J Epidemiol 23, 311–322 (2008). https://doi.org/10.1007/s10654-008-9228-4

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