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Abstract

Aims: Physical activity (PA) used as prevention and treatment of disease has created a need for effective tools for measuring patients’ PA level. Our aim was therefore to assess the validity of two PA questions and their three associated answer modes. Methods: Data on PA according to the PA questions and Actigraph GT3X+ accelerometers, aerobic fitness (VO₂max), cardiovascular biomarkers, and self-rated general health were collected in 365 Swedish adults (21–66 years). The PA questions ask about weekly PA via categories (Categorical), an open-ended answer (Open), or specified day by day (Table). Results: The Categorical mode, compared with the Open mode, correlated (Spearman’s rho) significantly more strongly (p<0.05) with accelerometer PA (0.31 vs. 0.18) and VO₂max (0.27 vs. 0.06), and the level of BMI (–0.20 vs. –0.02), waist circumference (–0.22 vs. –0.03), diastolic blood pressure (–0.16 vs. 0.08), glucose (–0.18 vs. 0.04), triglycerides (–0.31 vs. –0.07), and general health (0.35 vs. 0.19). The validity of the Categorical and Table modes were similar regarding VO₂max and accelerometry, but the Categorical mode exhibited more significant and stronger correlations with cardiovascular biomarkers. The capacity of the PA questions to identify insufficiently physically active individuals ranged from 0.57 to 0.76 for sensitivity and from 0.47 to 0.79 for specificity. Conclusions: The Categorical mode exhibits the strongest validity and Open mode the weakest. The PA questions may be used on a population level, or as a tool for determining patents’ appropriateness for treatment.

Keywords

Sensitivity and specificity questionnaires physical fitness accelerometry physical activity actigraph GT3X+validity cardiovascular biomarkers answer mode

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References

World Health Organization. Global Health Risks: Mortality and Burden of Disease Attributable to Selected Major Risks. Geneva: WHO, 2009.

The Swedish National Board of Health and Welfare. Nationella riktlinjer för sjukdomsförebyggande metoder 2011 Tobaksbruk, riskbruk av alkohol, otillräcklig fysisk aktivitet och ohälsosamma matvanor Stöd för styrning och ledning [Disease Prevention in the Swedish Healthcare System: Health situation, national guidelines and implementation]. (In Swedish with an English summary). Västerås, Sweden: Socialstyrelsen, 2011.

The Swedish National Board of Health and Welfare. Nationella riktlinjer för sjukdomsförebyggande metoder 2011, Indikatorer, Bilaga [Disease Prevention in the Swedish Healthcare System: Health situation, national guidelines and implementation, Indicators, Appendix]. Västerås, Sweden: The Swedish National Board of Health and Welfare, 2011.

Santos-Lozano

Torres-Luque

Marin

. Intermonitor variability of GT3X accelerometer. Int J Sports Med 2012;33:994–9.

Santos-Lozano

Santín-Medeiros

Cardon

. Actigraph GT3X: Validation and determination of physical activity intensity cut points. Int J Sports Med 2013;34:975–82.

Troiano

Berrigan

Dodd

. Physical activity in the United States measured by accelerometer. Med Sci Sports Exerc 2008;40:181–8.

Craig

Marshall

Sjostrom

. International physical activity questionnaire: 12-country reliability and validity. Med Sci Sports Exerc 2003;35:1381–95.

Freedson

Melanson

Sirard

. Calibration of the Computer Science and Applications, Inc. accelerometer. Med Sci Sports Exerc 1998;30:777–81.

Ekblom-Bak

Björkman

Hellenius

. A new submaximal cycle ergometer test for prediction of VO2max. Scand J Med Sci Sports 2014;24:319–326.

10.

Engström

L-M

Ekblom

Forsberg

. Livsstil-Prestation-Hälsa, LIV 90, Motionsvanor, fysisk prestationsförmåga och hälsotillstånd bland svenska kvinnor och män i åldrarna 20–65 år [Lifestyle–Physical Fitness–Health, LIV 90, Exercise habits, physical fitness, and general health in Swedish men and women aged 20–65 years]. Stockholm, Sweden: Folksam, Högskolan för lärarutbildning, Idrottshögskolan, Karolinska Institutet, Korpen, Riksidrottsförbundet, 1993.

11.

Pickering

Hall

Appel

. Recommendations for Blood Pressure Measurement in Humans and Experimental Animals. Circulation 2005;111:697–716.

12.

Burström

Fredlund

. Self rated health: Is it as good a predictor of subsequent mortality among adults in lower as well as in higher social classes? J Epidemiol Community Health 2001;55:836–40.

13.

Ghasemi

Zahediasl

. Normality tests for statistical analysis: A Guide for Non-Statisticians. Intl J Endocrinol Metab 2012;10:486–9.

14.

van Poppel

Chinapaw

Mokkink

. Physical activity questionnaires for adults: a systematic review of measurement properties. Sports Med. (Auckland, NZ) 2010;40:565–600.

15.

Steiger

. Tests for comparing elements of a correlation matrix. Psychol Bull 1980;87:245–51.

16.

Myers

Sirois

. Spearman correlation coefficients, differences between. In: Encyclopedia of Statistical Sciences. John Wiley & Sons, Inc., 2004.

17.

Milton

Clemes

Bull

. Can a single question provide an accurate measure of physical activity? Br J Sports Med 2013;47:44–8.

18.

Wanner

Probst-Hensch

Kriemler

. What physical activity surveillance needs: Validity of a single-item questionnaire. Br J Sports Med 2014;48:1570–6.

19.

Oyeyemi

Umar

Oguche

. Accelerometer-determined physical activity and its comparison with the International Physical Activity Questionnaire in a sample of Nigerian adults. PloS ONE 2014;9:e87233.

20.

Ekelund

Sepp

Brage

. 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.

21.

Timperio

Salmon

Rosenberg

. Do logbooks influence recall of physical activity in validation studies? Med Sci Sports Exerc 2004;36:1181–6.

22.

Kwak

Hagstromer

Sjostrom

. Can the IPAQ-long be used to assess occupational physical activity? J Phys Act Health 2012;9:1130–7.

23.

Emaus

Degerstrom

Wilsgaard

. Does a variation in self-reported physical activity reflect variation in objectively measured physical activity, resting heart rate, and physical fitness? Results from the Tromso study. Scand J Public Health 2010;38:105–18.

24.

Loe

Rognmo

Saltin

. Aerobic capacity reference data in 3816 healthy men and women 20–90 years. PloS ONE 2013;8:e64319.

25.

Aires

Selmer

Thelle

. The validity of self-reported leisure time physical activity, and its relationship to serum cholesterol, blood pressure and body mass index. A population based study of 332,182 men and women aged 40–42 years. Eur J Epidemiol 2003;18:479–85.

26.

Rodjer

Jonsdottir

Rosengren

. Self-reported leisure time physical activity: a useful assessment tool in everyday health care. BMC Public Health 2012;12:693.

27.

Meriwether

McMahon

Islam

Steinmann

. Physical activity assessment: validation of a clinical assessment tool. Am J Prev Med 2006;31:484–91.

28.

Matthews

Ainsworth

Hanby

. Development and testing of a short physical activity recall questionnaire. Med Sci Sports Exerc 2005;37:986–94.

29.

Cleland

Hunter

Kee

. Validity of the global physical activity questionnaire (GPAQ) in assessing levels and change in moderate-vigorous physical activity and sedentary behaviour. BMC Public Health 2014;14:1255.

Categorical answer modes provide superior validity to open answers when asking for level of physical activity: A cross-sectional study

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