Literature DB >> 22744733

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

Ylva Trolle Lagerros1, Sven Sandin, Christin Bexelius, Jan-Eric Litton, Marie Löf.   

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.

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Year:  2012        PMID： 22744733     DOI： 10.1007/s10654-012-9708-4

Source DB:  PubMed          Journal:  Eur J Epidemiol        ISSN： 0393-2990            Impact factor:   8.082


  24 in total

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Journal:  Am J Epidemiol       Date:  1999-03-15       Impact factor: 4.897

2.  Feasibility of including cellular telephone numbers in random digit dialing for epidemiologic case-control studies.

Authors:  Lynda F Voigt; Stephen M Schwartz; David R Doody; Spencer C Lee; Christopher I Li
Journal:  Am J Epidemiol       Date:  2010-11-11       Impact factor: 4.897

3.  25-year trends and socio-demographic differences in response rates: Finnish adult health behaviour survey.

Authors:  Hanna Tolonen; Satu Helakorpi; Kirsi Talala; Ville Helasoja; Tuija Martelin; Ritva Prättälä
Journal:  Eur J Epidemiol       Date:  2006-06-28       Impact factor: 8.082

4.  A comparison of the two one-sided tests procedure and the power approach for assessing the equivalence of average bioavailability.

Authors:  D J Schuirmann
Journal:  J Pharmacokinet Biopharm       Date:  1987-12

5.  Evaluation of a cell phone-based physical activity diary.

Authors:  Barbara Sternfeld; Sheng-Fang Jiang; Teresa Picchi; Lisa Chasan-Taber; Barbara Ainsworth; Charles P Quesenberry
Journal:  Med Sci Sports Exerc       Date:  2012-03       Impact factor: 5.411

6.  Human energy expenditure in affluent societies: an analysis of 574 doubly-labelled water measurements.

Authors:  A E Black; W A Coward; T J Cole; A M Prentice
Journal:  Eur J Clin Nutr       Date:  1996-02       Impact factor: 4.016

7.  Physical activity in the United States measured by accelerometer.

Authors:  Richard P Troiano; David Berrigan; Kevin W Dodd; Louise C Mâsse; Timothy Tilert; Margaret McDowell
Journal:  Med Sci Sports Exerc       Date:  2008-01       Impact factor: 5.411

8.  Estimating activity energy expenditure: how valid are physical activity questionnaires?

Authors:  Heather K Neilson; Paula J Robson; Christine M Friedenreich; Ilona Csizmadi
Journal:  Am J Clin Nutr       Date:  2008-02       Impact factor: 7.045

9.  Physical activity and clustered cardiovascular risk in children: a cross-sectional study (The European Youth Heart Study).

Authors:  Lars Bo Andersen; Maarike Harro; Luis B Sardinha; Karsten Froberg; Ulf Ekelund; Søren Brage; Sigmund Alfred Anderssen
Journal:  Lancet       Date:  2006-07-22       Impact factor: 79.321

Review 10.  Assessment of physical activity and energy expenditure in epidemiological research of chronic diseases.

Authors:  Ylva Trolle Lagerros; Pagona Lagiou
Journal:  Eur J Epidemiol       Date:  2007-06-29       Impact factor: 12.434
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  7 in total

Review 1.  Response rate differences between web and alternative data collection methods for public health research: a systematic review of the literature.

Authors:  Cauane Blumenberg; Aluísio J D Barros
Journal:  Int J Public Health       Date:  2018-04-24       Impact factor: 3.380

2.  Increasing the response rate of text messaging data collection: a delayed randomized controlled trial.

Authors:  Ye Li; Wei Wang; Qiong Wu; Michelle Helena van Velthoven; Li Chen; Xiaozhen Du; Yanfeng Zhang; Igor Rudan; Josip Car
Journal:  J Am Med Inform Assoc       Date:  2014-10-20       Impact factor: 4.497

3.  Web-based questionnaires to capture acute infections in long-term cohorts : findings of a feasibility study.

Authors:  S Mall; M K Akmatov; A Schultze; W Ahrens; N Obi; F Pessler; G Krause
Journal:  Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz       Date:  2014-11       Impact factor: 1.513

4.  The medium and the message: fitting sound health promotion methodology into 160 characters.

Authors:  Megan S C Lim; Cassandra Wright; Margaret E Hellard
Journal:  JMIR Mhealth Uhealth       Date:  2014-11-03       Impact factor: 4.773

5.  The Mobile Health Multiple Lifestyle Behavior Interventions Across the Lifespan (MoBILE) Research Program: Protocol for Development, Evaluation, and Implementation.

Authors:  Marcus Bendtsen; Preben Bendtsen; Hanna Henriksson; Pontus Henriksson; Ulrika Müssener; Kristin Thomas; Marie Löf
Journal:  JMIR Res Protoc       Date:  2020-04-20

6.  Feasibility of Assessing Economic and Sexual Risk Behaviors Using Text Message Surveys in African-American Young Adults Experiencing Homelessness and Unemployment: Single-Group Study.

Authors:  Larissa Jennings Mayo-Wilson; Nancy E Glass; Alain Labrique; Melissa Davoust; Fred M Ssewamala; Sebastian Linnemayr; Matthew W Johnson
Journal:  JMIR Form Res       Date:  2020-07-17

7.  The Smart City Active Mobile Phone Intervention (SCAMPI) study to promote physical activity through active transportation in healthy adults: a study protocol for a randomised controlled trial.

Authors:  Anna Ek; Christina Alexandrou; Christine Delisle Nyström; Artur Direito; Ulf Eriksson; Ulf Hammar; Pontus Henriksson; Ralph Maddison; Ylva Trolle Lagerros; Marie Löf
Journal:  BMC Public Health       Date:  2018-07-16       Impact factor: 3.295
  7 in total

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