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Published in: European Journal of Epidemiology 7/2012

01-07-2012 | PHYSICAL ACTIVITY

Estimating physical activity using a cell phone questionnaire sent by means of short message service (SMS): a randomized population-based study

Authors: Ylva Trolle Lagerros, Sven Sandin, Christin Bexelius, Jan-Eric Litton, Marie Löf

Published in: European Journal of Epidemiology | Issue 7/2012

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Abstract

An investigation in a randomized population-based Swedish study with 564 participants aged 18–80 years showed that mean physical activity levels obtained using short message service (SMS) by means of cell phones (n = 171) were equal to corresponding levels obtained when sending identical questions by web (n = 182) or paper (n = 211). The response rates were similar for the SMS, web and paper groups.
Literature
1.
go back to reference Lagerros YT, Lagiou P. Assessment of physical activity and energy expenditure in epidemiological research of chronic diseases. Eur J Epidemiol. 2007;22(6):353–62.PubMedCrossRef Lagerros YT, Lagiou P. Assessment of physical activity and energy expenditure in epidemiological research of chronic diseases. Eur J Epidemiol. 2007;22(6):353–62.PubMedCrossRef
2.
go back to reference Warren JM, Ekelund U, Besson H, Mezzani A, Geladas N, Vanhees L. Experts Panel. Assessment of physical activity—a review of methodologies with reference to epidemiological research: a report of the exercise physiology section of the European Association of Cardiovascular Prevention and Rehabilitation. Eur J Cardiovasc Prev Rehabil. 2010;17(2):127–39.PubMedCrossRef Warren JM, Ekelund U, Besson H, Mezzani A, Geladas N, Vanhees L. Experts Panel. Assessment of physical activity—a review of methodologies with reference to epidemiological research: a report of the exercise physiology section of the European Association of Cardiovascular Prevention and Rehabilitation. Eur J Cardiovasc Prev Rehabil. 2010;17(2):127–39.PubMedCrossRef
3.
go back to reference Neilson HK, Robson PJ, Friedenreich CM, Csizmadi I. Estimating activity energy expenditure: how valid are physical activity questionnaires? Am J Clin Nutr. 2008;87(2):279–91.PubMed Neilson HK, Robson PJ, Friedenreich CM, Csizmadi I. Estimating activity energy expenditure: how valid are physical activity questionnaires? Am J Clin Nutr. 2008;87(2):279–91.PubMed
4.
go back to reference Andersen LB, Harro M, Sardinha LB, et al. Physical activity and clustered cardiovascular risk in children: a cross-sectional study (The European Youth Heart Study). Lancet. 2006;368(9532):299–304.PubMedCrossRef Andersen LB, Harro M, Sardinha LB, et al. Physical activity and clustered cardiovascular risk in children: a cross-sectional study (The European Youth Heart Study). Lancet. 2006;368(9532):299–304.PubMedCrossRef
5.
go back to reference Ruiz JR, Ortega FB, Martinez-Gomez D, et al. Objectively measured physical activity and sedentary time in European adolescents: the helena study. Am J Epidemiol. 2011;174(2):173–84.PubMedCrossRef Ruiz JR, Ortega FB, Martinez-Gomez D, et al. Objectively measured physical activity and sedentary time in European adolescents: the helena study. Am J Epidemiol. 2011;174(2):173–84.PubMedCrossRef
6.
go back to reference Troiano RP, Berrigan D, Dodd KW, Masse LC, Tilert T, McDowell M. Physical activity in the United States measured by accelerometer. Med Sci Sports Exerc. 2008;40(1):181–8.PubMed Troiano RP, Berrigan D, Dodd KW, Masse LC, Tilert T, McDowell M. Physical activity in the United States measured by accelerometer. Med Sci Sports Exerc. 2008;40(1):181–8.PubMed
7.
9.
go back to reference Freifeld CC, Chunara R, Mekaru SR, et al. Participatory epidemiology: use of mobile phones for community-based health reporting. PLoS Med. 2010;7(12):e1000376.PubMedCrossRef Freifeld CC, Chunara R, Mekaru SR, et al. Participatory epidemiology: use of mobile phones for community-based health reporting. PLoS Med. 2010;7(12):e1000376.PubMedCrossRef
10.
go back to reference Hu SS, Balluz L, Battaglia MP, Frankel MR. Improving public health surveillance using a dual-frame survey of landline and cell phone numbers. Am J Epidemiol. 2011;173(6):703–11.PubMedCrossRef Hu SS, Balluz L, Battaglia MP, Frankel MR. Improving public health surveillance using a dual-frame survey of landline and cell phone numbers. Am J Epidemiol. 2011;173(6):703–11.PubMedCrossRef
11.
go back to reference Voigt LF, Schwartz SM, Doody DR, Lee SC, Li CI. Feasibility of including cellular telephone numbers in random digit dialing for epidemiologic case-control studies. Am J Epidemiol. 2011;173(1):118–26.PubMedCrossRef Voigt LF, Schwartz SM, Doody DR, Lee SC, Li CI. Feasibility of including cellular telephone numbers in random digit dialing for epidemiologic case-control studies. Am J Epidemiol. 2011;173(1):118–26.PubMedCrossRef
12.
go back to reference Wu J, Jiang C, Liu Z, Houston D, Jaimes G, McConell R. Comparison of multiple portable GPS units for use in epidemiological studies. Epidemiology. 2010;22(1 January Supplement):S195. Wu J, Jiang C, Liu Z, Houston D, Jaimes G, McConell R. Comparison of multiple portable GPS units for use in epidemiological studies. Epidemiology. 2010;22(1 January Supplement):S195.
13.
go back to reference Sternfeld B, Jiang S-F, Picchi T, Chasan-Taber L, Ainsworth B, Quesenberry CP Jr. Evaluation of a cell-phone based physical activity diary. Med Sci Sports Exerc. 2012;44(3):487–95.PubMedCrossRef Sternfeld B, Jiang S-F, Picchi T, Chasan-Taber L, Ainsworth B, Quesenberry CP Jr. Evaluation of a cell-phone based physical activity diary. Med Sci Sports Exerc. 2012;44(3):487–95.PubMedCrossRef
14.
go back to reference Bexelius C, Lof M, Sandin S, Trolle Lagerros Y, Forsum E, Litton JE. Measures of physical activity using cell phones: validation using criterion methods. J Med Internet Res. 2010;12(1):e2.PubMedCrossRef Bexelius C, Lof M, Sandin S, Trolle Lagerros Y, Forsum E, Litton JE. Measures of physical activity using cell phones: validation using criterion methods. J Med Internet Res. 2010;12(1):e2.PubMedCrossRef
15.
go back to reference Bexelius C, Sandin S, Trolle-Lagerros Y, Litton J-E, Löf M. Estimation of physical activity levels using cell phones: a comparison with accelerometry for evaluation of between-subject and within-subject variations. J Med Internet Res. 2011;13(3):e70.PubMedCrossRef Bexelius C, Sandin S, Trolle-Lagerros Y, Litton J-E, Löf M. Estimation of physical activity levels using cell phones: a comparison with accelerometry for evaluation of between-subject and within-subject variations. J Med Internet Res. 2011;13(3):e70.PubMedCrossRef
16.
go back to reference Hauck W, Anderson S. A new statistical procedure for testing equivalence in two-group comparative bioavailability trials. J Pharmacokinet Biopharm. 1984;12:83–91.PubMed Hauck W, Anderson S. A new statistical procedure for testing equivalence in two-group comparative bioavailability trials. J Pharmacokinet Biopharm. 1984;12:83–91.PubMed
17.
go back to reference Schuirmann D. A comparison of the two one-sided tests procedure and the power approach for assessing the equivalence of average bioavailability. J Pharmacokinet Biopharm. 1987;15(6):657–80.PubMed Schuirmann D. A comparison of the two one-sided tests procedure and the power approach for assessing the equivalence of average bioavailability. J Pharmacokinet Biopharm. 1987;15(6):657–80.PubMed
18.
go back to reference Curtin R, Presser SS, Singer E. Changes in telephone survey nonresponse over the past quarter century. Public Opin Q. 2005;69(1):87–98.CrossRef Curtin R, Presser SS, Singer E. Changes in telephone survey nonresponse over the past quarter century. Public Opin Q. 2005;69(1):87–98.CrossRef
19.
go back to reference de Heer W. International response trends: results of an international survey. J Off Stat. 1999;15(2):129–42. de Heer W. International response trends: results of an international survey. J Off Stat. 1999;15(2):129–42.
20.
go back to reference Galea S, Tracy M. Participation rates in epidemiologic studies. Ann Epidemiol. 2007;17(9):643–53.PubMedCrossRef Galea S, Tracy M. Participation rates in epidemiologic studies. Ann Epidemiol. 2007;17(9):643–53.PubMedCrossRef
21.
go back to reference Tolonen H, Helakorpi S, Talala K, Helasoja V, Martelin T, Prattala R. 25 year trends and socio-demographic differences in response rates: Finnish adult health behaviour survey. Eur J Epidemiol. 2006;21(6):409–15.PubMedCrossRef Tolonen H, Helakorpi S, Talala K, Helasoja V, Martelin T, Prattala R. 25 year trends and socio-demographic differences in response rates: Finnish adult health behaviour survey. Eur J Epidemiol. 2006;21(6):409–15.PubMedCrossRef
22.
go back to reference Fondell E, Lagerros YT, Sundberg CJ, et al. Physical activity, stress, and self-reported upper respiratory tract infection. Med Sci Sports Exerc. 2011;43(2):272–9.PubMedCrossRef Fondell E, Lagerros YT, Sundberg CJ, et al. Physical activity, stress, and self-reported upper respiratory tract infection. Med Sci Sports Exerc. 2011;43(2):272–9.PubMedCrossRef
23.
go back to reference Lehman E. Nonparametrics: statistical methods based on ranks. New York: Holden-Day; 1975. Lehman E. Nonparametrics: statistical methods based on ranks. New York: Holden-Day; 1975.
24.
go back to reference Edwards PJ, Roberts I, Clarke MJ, et al. Methods to increase response to postal and electronic questionnaires. Cochrane Database Syst Rev. 2009 Jul 8;(3):MR000008. Edwards PJ, Roberts I, Clarke MJ, et al. Methods to increase response to postal and electronic questionnaires. Cochrane Database Syst Rev. 2009 Jul 8;(3):MR000008.
25.
go back to reference Wanner M, Martin-Diener E, Bauer G, Braun-Fahrlander C, Martin BW. Comparison of trial participants and open access users of a web-based physical activity intervention regarding adherence, attrition, and repeated participation. J Med Internet Res. 2010;12(1):e3.PubMedCrossRef Wanner M, Martin-Diener E, Bauer G, Braun-Fahrlander C, Martin BW. Comparison of trial participants and open access users of a web-based physical activity intervention regarding adherence, attrition, and repeated participation. J Med Internet Res. 2010;12(1):e3.PubMedCrossRef
27.
go back to reference Hu FB, Stampfer MJ, Rimm E, et al. Dietary fat and coronary heart disease: a comparison of approaches for adjusting for total energy intake and modeling repeated dietary measurements. Am J Epidemiol. 1999;149(6):531–40.PubMedCrossRef Hu FB, Stampfer MJ, Rimm E, et al. Dietary fat and coronary heart disease: a comparison of approaches for adjusting for total energy intake and modeling repeated dietary measurements. Am J Epidemiol. 1999;149(6):531–40.PubMedCrossRef
28.
go back to reference Dugas LR, Harders R, Merrill S, et al. Energy expenditure in adults living in developing compared with industrialized countries: a meta-analysis of doubly labeled water studies. Am J Clin Nutr. 2011;93(2):427–41.PubMedCrossRef Dugas LR, Harders R, Merrill S, et al. Energy expenditure in adults living in developing compared with industrialized countries: a meta-analysis of doubly labeled water studies. Am J Clin Nutr. 2011;93(2):427–41.PubMedCrossRef
29.
go back to reference Black AE, Coward WA, Cole TJ, et al. Human energy expenditure in affluent societies: an analysis of 574 doubly-labelled water measurements. Eur J Clin Nutr. 1996;50(2):72–92.PubMed Black AE, Coward WA, Cole TJ, et al. Human energy expenditure in affluent societies: an analysis of 574 doubly-labelled water measurements. Eur J Clin Nutr. 1996;50(2):72–92.PubMed
30.
go back to reference Ainsworth BE, Haskell WL, Whitt MC, et al. Compendium of physical activities: an update of activity codes and MET intensities. Med Sci Sports Exerc. 2000;32(9 Suppl):S498–504.PubMed Ainsworth BE, Haskell WL, Whitt MC, et al. Compendium of physical activities: an update of activity codes and MET intensities. Med Sci Sports Exerc. 2000;32(9 Suppl):S498–504.PubMed
Metadata
Title
Estimating physical activity using a cell phone questionnaire sent by means of short message service (SMS): a randomized population-based study
Authors
Ylva Trolle Lagerros
Sven Sandin
Christin Bexelius
Jan-Eric Litton
Marie Löf
Publication date
01-07-2012
Publisher
Springer Netherlands
Published in
European Journal of Epidemiology / Issue 7/2012
Print ISSN: 0393-2990
Electronic ISSN: 1573-7284
DOI
https://doi.org/10.1007/s10654-012-9708-4

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