Validity of electronically administered Recent Physical Activity Questionnaire (RPAQ) in ten European countries

Rajna Golubic, Anne M May, Kristin Benjaminsen Borch, Kim Overvad, Marie-Aline Charles, Maria Jose Tormo Diaz, Pilar Amiano, Domenico Palli, Elisavet Valanou, Matthaeus Vigl, Paul W Franks, Nicholas Wareham, Ulf Ekelund, Soren Brage, Rajna Golubic, Anne M May, Kristin Benjaminsen Borch, Kim Overvad, Marie-Aline Charles, Maria Jose Tormo Diaz, Pilar Amiano, Domenico Palli, Elisavet Valanou, Matthaeus Vigl, Paul W Franks, Nicholas Wareham, Ulf Ekelund, Soren Brage

Abstract

Objective: To examine the validity of the Recent Physical Activity Questionnaire (RPAQ) which assesses physical activity (PA) in 4 domains (leisure, work, commuting, home) during past month.

Methods: 580 men and 1343 women from 10 European countries attended 2 visits at which PA energy expenditure (PAEE), time at moderate-to-vigorous PA (MVPA) and sedentary time were measured using individually-calibrated combined heart-rate and movement sensing. At the second visit, RPAQ was administered electronically. Validity was assessed using agreement analysis.

Results: RPAQ significantly underestimated PAEE in women [median(IQR): 34.9 (22.3, 52.8) vs. 40.6 (32.4, 50.9) kJ/kg/day, 95%LoA: -44.4, 66.1 kJ/kg/day) and overestimated PAEE in men [45.9 (30.6, 71.1) vs. 45.5 (34.1, 57.6) kJ/kg/day, 95%LoA: -44.8, 102.6 kJ/kg/day]. Using individualised definition of 1MET, RPAQ significantly underestimated MVPA in women [median(IQR): 63.7 (30.5, 126.9) vs. 73.6 (47.8, 107.2) min/day, 95%LoA: -127.4, 311.9 min/day] and overestimated MVPA in men [90.0 (42.3, 188.6) vs. 83.3 (55.1, 125.0) min/day, 95%LoA: -134.8, 427.3 min/day]. Correlations (95%CI) between subjective and objective estimates were statistically significant [PAEE: women, rho = 0.20 (0.15-0.26); men, rho = 0.37 (0.30-0.44); MVPA: women, rho = 0.18 (0.13-0.24); men, rho = 0.31 (0.24-0.38)]. When using non-individualised definition of 1MET (3.5 mlO2/kg/min), MVPA was substantially overestimated (16 min/day, and 32 min/day in women and men, respectively). Revisiting occupational intensity assumptions in questionnaire estimation algorithms with occupational group-level empirical distributions reduced median PAEE-bias in manual (38.8 kJ/kg/day vs. 6.8 kJ/kg/day, p<0.001) and heavy manual workers (63.6 vs. -2.8 kJ/kg/day, p<0.001) in an independent hold-out sample [corrected].

Conclusion: Relative validity of RPAQ-derived PAEE and MVPA is comparable to previous studies but underestimation of PAEE is smaller. Electronic RPAQ may be used in large-scale epidemiological studies including surveys, providing information on all domains of PA.

Conflict of interest statement

Competing Interests: The authors have declared that no competing interests exist.

Figures

Figure 1. Spearman’s correlation coefficients for the…
Figure 1. Spearman’s correlation coefficients for the associations of PAEE, MVPA and sedentary time assessed by the RPAQ with objectively measured corresponding variables by country and sex in 1343 women and 540 men.
Figure 2. Total PAEE and PAEE at…
Figure 2. Total PAEE and PAEE at work derived from the RPAQ, and bias for total PAEE before and after applying intensity distribution assumption.
Results are based on the“holdout sample”, with the following number of participants in each category: sedentary N = 264, standing N = 147, manual N = 58, heavy manual N = 12, representing 1/3 of participants in each group of the employed participants. Data are median (IQR), and median with 95% limits of agreement for bias.

References

    1. Haskell WL, Lee IM, Pate RR, Powell KE, Blair SN, et al. (2007) Physical activity and public health: updated recommendation for adults from the American College of Sports Medicine and the American Heart Association. Med Sci Sports Exerc 39: 1423–1434.
    1. Miles L (2007) Physical activity and health. British Nutrition Foundation Nutrition Bulletin: 314–343.
    1. Lee IM, Shiroma EJ, Lobelo F, Puska P, Blair SN, et al. (2012) Effect of physical inactivity on major non-communicable diseases worldwide: an analysis of burden of disease and life expectancy. Lancet 380: 219–229.
    1. Hallal PC, Andersen LB, Bull FC, Guthold R, Haskell W, et al. (2012) Global physical activity levels: surveillance progress, pitfalls, and prospects. Lancet 380: 247–257.
    1. Caspersen CJ, Powell KE, Christenson GM (1985) Physical activity, exercise, and physical fitness: definitions and distinctions for health-related research. Public Health Rep 100: 126–131.
    1. Wareham NJ, Rennie KL (1998) 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 22 Suppl 2S30–38.
    1. Wareham NJ, Jakes RW, Rennie KL, Mitchell J, Hennings S, et al. (2002) Validity and repeatability of the EPIC-Norfolk Physical Activity Questionnaire. Int J Epidemiol 31: 168–174.
    1. Shephard RJ (2003) Limits to the measurement of habitual physical activity by questionnaires. Br J Sports Med 37: 197–206 discussion 206.
    1. Helmerhorst HJ, Brage S, Warren J, Besson H, Ekelund U (2012) A systematic review of reliability and objective criterion-related validity of physical activity questionnaires. Int J Behav Nutr Phys Act 9: 103.
    1. Lagerros YT, Lagiou P (2007) Assessment of physical activity and energy expenditure in epidemiological research of chronic diseases. Eur J Epidemiol 22: 353–362.
    1. Hu FB, Li TY, Colditz GA, Willett WC, Manson JE (2003) Television watching and other sedentary behaviors in relation to risk of obesity and type 2 diabetes mellitus in women. JAMA 289: 1785–1791.
    1. Hamilton MT, Hamilton DG, Zderic TW (2007) Role of low energy expenditure and sitting in obesity, metabolic syndrome, type 2 diabetes, and cardiovascular disease. Diabetes 56: 2655–2667.
    1. Wijndaele K, Brage S, Besson H, Khaw KT, Sharp SJ, et al. Television viewing time independently predicts all-cause and cardiovascular mortality: the EPIC Norfolk study. Int J Epidemiol 40: 150–159.
    1. Wijndaele K, Healy GN, Dunstan DW, Barnett AG, Salmon J, et al. Increased cardiometabolic risk is associated with increased TV viewing time. Med Sci Sports Exerc 42: 1511–1518.
    1. Matthews CE (2002) Use of self-report instruments to assess physical activity. In: Welk GJ, editor. Physical activity assessments for health-related research. Iowa State University: Human Kinetics. 107–123.
    1. Besson H, Brage S, Jakes RW, Ekelund U, Wareham NJ (2010) Estimating physical activity energy expenditure, sedentary time, and physical activity intensity by self-report in adults. Am J Clin Nutr 91: 106–114.
    1. Ahmad S, Rukh G, Varga TV, Ali A, Kurbasic A, et al. (2013) Gene x physical activity interactions in obesity: combined analysis of 111,421 individuals of European ancestry. PLoS Genet 9: e1003607.
    1. Johansen NB, Hansen AL, Jensen TM, Philipsen A, Rasmussen SS, et al. (2012) Protocol for ADDITION-PRO: a longitudinal cohort study of the cardiovascular experience of individuals at high risk for diabetes recruited from Danish primary care. BMC Public Health 12: 1078.
    1. Bates B, Lennox A, Bates C, Swan G (2010) National Diet and Nutrition Survey. Headline results from Years 1 and 2 (combined) of the Rolling Programme (2008/2009–2009/2010).
    1. Ogilvie D, Griffin S, Jones A, Mackett R, Guell C, et al. (2010) Commuting and health in Cambridge: a study of a ‘natural experiment’ in the provision of new transport infrastructure. BMC Public Health 10: 703.
    1. Godino JG, Watkinson C, Corder K, Marteau TM, Sutton S, et al. (2013) Impact of personalised feedback about physical activity on change in objectively measured physical activity (the FAB study): a randomised controlled trial. PLoS One 8: e75398.
    1. Parkinson KN, Pearce MS, Dale A, Reilly JJ, Drewett RF, et al. (2011) Cohort profile: the Gateshead Millennium Study. Int J Epidemiol 40: 308–317.
    1. Bell R, Tennant PW, McParlin C, Pearce MS, Adamson AJ, et al. (2013) Measuring physical activity in pregnancy: a comparison of accelerometry and self-completion questionnaires in overweight and obese women. Eur J Obstet Gynecol Reprod Biol 170: 90–95.
    1. Mediano MF, Neves FA, Cunha AC, de Souza EP, Moura AS, et al. (2013) Changes in body weight, C-reactive protein, and total adiponectin in non-obese women after 12 months of a small-volume, home-based exercise program. Clinics (Sao Paulo) 68: 1121–1127.
    1. Nanchahal K, Power T, Holdsworth E, Hession M, Sorhaindo A, et al... (2012) A pragmatic randomised controlled trial in primary care of the Camden Weight Loss (CAMWEL) programme. BMJ Open 2.
    1. Smith NR, Clark C, Fahy AE, Tharmaratnam V, Lewis DJ, et al... (2012) The Olympic Regeneration in East London (ORiEL) study: protocol for a prospective controlled quasi-experiment to evaluate the impact of urban regeneration on young people and their families. BMJ Open 2.
    1. Barker M, Baird J, Lawrence W, Jarman M, Black C, et al. (2011) The Southampton Initiative for Health: a complex intervention to improve the diets and increase the physical activity levels of women from disadvantaged communities. J Health Psychol 16: 178–191.
    1. Cave Hill Campus Barbados, Annual Report to Council 2010/2011.
    1. Brage S, Brage N, Franks PW, Ekelund U, Wareham NJ (2005) Reliability and validity of the combined heart rate and movement sensor Actiheart. Eur J Clin Nutr 59: 561–570.
    1. InterAct C (2012) Validity of a short questionnaire to assess physical activity in 10 European countries. Eur J Epidemiol 27: 15–25.
    1. Riboli E, Hunt KJ, Slimani N, Ferrari P, Norat T, et al. (2002) European Prospective Investigation into Cancer and Nutrition (EPIC): study populations and data collection. Public Health Nutr 5: 1113–1124.
    1. Ainsworth BE, Jacobs DR Jr, Leon AS, Richardson MT, Montoye HJ (1993) Assessment of the accuracy of physical activity questionnaire occupational data. J Occup Med 35: 1017–1027.
    1. Richardson MT, Leon AS, Jacobs DR Jr, Ainsworth BE, Serfass R (1994) Comprehensive evaluation of the Minnesota Leisure Time Physical Activity Questionnaire. J Clin Epidemiol 47: 271–281.
    1. The Sports Council and Health Education Authority (1992) Allied Dunbar National Fitness Survey. London, United Kingdom: Health Education Authority.
    1. MRC Epidemiology Unit, 2013 .
    1. Ainsworth BE, Haskell WL, Whitt MC, Irwin ML, Swartz AM, et al. (2000) Compendium of physical activities: an update of activity codes and MET intensities. Med Sci Sports Exerc 32: S498–504.
    1. Brage S, Ekelund U, Brage N, Hennings MA, Froberg K, et al. (2007) Hierarchy of individual calibration levels for heart rate and accelerometry to measure physical activity. J Appl Physiol 103: 682–692.
    1. Stegle O, Fallert SV, MacKay DJ, Brage S (2008) Gaussian process robust regression for noisy heart rate data. IEEE Trans Biomed Eng 55: 2143–2151.
    1. Brage S, Brage N, Franks PW, Ekelund U, Wong MY, et al. (2004) Branched equation modeling of simultaneous accelerometry and heart rate monitoring improves estimate of directly measured physical activity energy expenditure. J Appl Physiol 96: 343–351.
    1. Tremblay MS, Colley RC, Saunders TJ, Healy GN, Owen N Physiological and health implications of a sedentary lifestyle. Appl Physiol Nutr Metab 35: 725–740.
    1. Henry CJ (2005) Basal metabolic rate studies in humans: measurement and development of new equations. Public Health Nutr 8: 1133–1152.
    1. Bland JM, Altman DG (1986) Statistical methods for assessing agreement between two methods of clinical measurement. Lancet 1: 307–310.
    1. Peters TM, Moore SC, Xiang YB, Yang G, Shu XO, et al. Accelerometer-measured physical activity in Chinese adults. Am J Prev Med 38: 583–591.
    1. Cust AE, Smith BJ, Chau J, van der Ploeg HP, Friedenreich CM, et al. (2008) Validity and repeatability of the EPIC physical activity questionnaire: a validation study using accelerometers as an objective measure. Int J Behav Nutr Phys Act 5: 33.
    1. Craig CL, Marshall AL, Sjostrom M, Bauman AE, Booth ML, et al. (2003) International physical activity questionnaire: 12-country reliability and validity. Med Sci Sports Exerc 35: 1381–1395.
    1. Matton L, Wijndaele K, Duvigneaud N, Duquet W, Philippaerts R, et al. (2007) Reliability and validity of the Flemish Physical Activity Computerized Questionnaire in adults. Res Q Exerc Sport 78: 293–306.
    1. Sallis JF, Saelens BE (2000) Assessment of physical activity by self-report: status, limitations, and future directions. Res Q Exerc Sport 71: S1–14.
    1. Prince SA, Adamo KB, Hamel ME, Hardt J, Gorber SC, et al. (2008) A comparison of direct versus self-report measures for assessing physical activity in adults: a systematic review. Int J Behav Nutr Phys Act 5: 56.
    1. van Poppel MN, Chinapaw MJ, Mokkink LB, van Mechelen W, Terwee CB Physical activity questionnaires for adults: a systematic review of measurement properties. Sports Med 40: 565–600.
    1. Neilson HK, Robson PJ, Friedenreich CM, Csizmadi I (2008) Estimating activity energy expenditure: how valid are physical activity questionnaires? Am J Clin Nutr 87: 279–291.
    1. Bull FC, Maslin TS, Armstrong T (2009) Global physical activity questionnaire (GPAQ): nine country reliability and validity study. J Phys Act Health 6: 790–804.
    1. Howe TE, Shea B, Dawson LJ, Downie F, Murray A, et al... (2011) Exercise for preventing and treating osteoporosis in postmenopausal women. Cochrane Database Syst Rev: CD000333.
    1. Eime RM, Young JA, Harvey JT, Charity MJ, Payne WR (2013) A systematic review of the psychological and social benefits of participation in sport for children and adolescents: informing development of a conceptual model of health through sport. Int J Behav Nutr Phys Act 10: 98.
    1. Leenders NY, Sherman WM, Nagaraja HN, Kien CL (2001) Evaluation of methods to assess physical activity in free-living conditions. Med Sci Sports Exerc 33: 1233–1240.
    1. Bonnefoy M, Normand S, Pachiaudi C, Lacour JR, Laville M, et al. (2001) Simultaneous validation of ten physical activity questionnaires in older men: a doubly labeled water study. J Am Geriatr Soc 49: 28–35.
    1. Klesges RC, Eck LH, Mellon MW, Fulliton W, Somes GW, et al. (1990) The accuracy of self-reports of physical activity. Med Sci Sports Exerc 22: 690–697.
    1. Ferrari P, Friedenreich C, Matthews CE (2007) The role of measurement error in estimating levels of physical activity. Am J Epidemiol 166: 832–840.
    1. Byrne NM, Hills AP, Hunter GR, Weinsier RL, Schutz Y (2005) Metabolic equivalent: one size does not fit all. J Appl Physiol 99: 1112–1119.
    1. Buchowski MS, Choi L, Majchrzak KM, Acra S, Mathews CE, et al. (2009) Seasonal changes in amount and patterns of physical activity in women. J Phys Act Health 6: 252–261.

Source: PubMed

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