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Citing this Article

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Published on 29.01.10 in Vol 12, No 1 (2010): Jan-Mar

This paper is in the following e-collection/theme issue:

Works citing "Measures of Physical Activity Using Cell Phones: Validation Using Criterion Methods"

Christin Bexelius, Marie Löf, Sven Sandin, Ylva Trolle Lagerros, Elisabet Forsum, Jan-Eric Litton

J Med Internet Res 2010 (Jan 29); 12(1):e2 

According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.1298):

(note that this is only a small subset of citations)

  1. Wang T, Huang R, Yang S, Chou C, Chen L. Evaluating the Effects of a Mobile Health App on Reducing Patient Care Needs and Improving Quality of Life After Oral Cancer Surgery: Quasiexperimental Study. JMIR mHealth and uHealth 2020;8(7):e18132
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  2. Löf M, Henriksson H, Forsum E. Evaluations of Actiheart, IDEEA® and RT3 monitors for estimating activity energy expenditure in free-living women. Journal of Nutritional Science 2013;2
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  5. Svensson , Larsson C. A Mobile Phone App for Dietary Intake Assessment in Adolescents: An Evaluation Study. JMIR mHealth and uHealth 2015;3(4):e93
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  6. Namba H, Yamaguchi Y, Yamada Y, Tokushima S, Hatamoto Y, Sagayama H, Kimura M, Higaki Y, Tanaka H. Validation of Web-Based Physical Activity Measurement Systems Using Doubly Labeled Water. Journal of Medical Internet Research 2012;14(5):e123
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  7. Henriksson P, Sandborg J, Blomberg M, Alexandrou C, Maddison R, Silfvernagel K, Henriksson H, Leppänen MH, Migueles JH, Widman L, Thomas K, Trolle Lagerros Y, Löf M. A Smartphone App to Promote Healthy Weight Gain, Diet, and Physical Activity During Pregnancy (HealthyMoms): Protocol for a Randomized Controlled Trial. JMIR Research Protocols 2019;8(3):e13011
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  8. . Physical activity pattern and activity energy expenditure in healthy pregnant and non-pregnant Swedish women. European Journal of Clinical Nutrition 2011;65(12):1295
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  9. Namba H, Yamada Y, Ishida M, Takase H, Kimura M. Use of a Web-Based Physical Activity Record System to Analyze Behavior in a Large Population: Cross-Sectional Study. Journal of Medical Internet Research 2015;17(3):e74
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  10. Cesta CE, Johansson AL, Hreinsson J, Rodriguez‐Wallberg KA, Olofsson JI, Holte J, Wramsby H, Wramsby M, Cnattingius S, Skalkidou A, Nyman Iliadou A. A prospective investigation of perceived stress, infertility‐related stress, and cortisol levels in women undergoing in vitro fertilization: influence on embryo quality and clinical pregnancy rate. Acta Obstetricia et Gynecologica Scandinavica 2018;97(3):258
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  11. Brembeck P, Winkvist A, Olausson H. Determinants of vitamin D status in pregnant fair-skinned women in Sweden. British Journal of Nutrition 2013;110(5):856
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  12. Sunil Kumar D, Prakash B, Subhash Chandra B, Kadkol PS, Arun V, Thomas JJ, Kulkarni P, Gopi A, Murthy MN. Technological innovations to improve health outcome in type 2 diabetes mellitus: A randomized controlled study. Clinical Epidemiology and Global Health 2021;9:53
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  13. Bellocco R, Jia C, Ye W, Lagerros YT. Effects of physical activity, body mass index, waist-to-hip ratio and waist circumference on total mortality risk in the Swedish National March Cohort. European Journal of Epidemiology 2010;25(11):777
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  14. Knight-Agarwal C, Davis DL, Williams L, Davey R, Cox R, Clarke A. Development and Pilot Testing of the Eating4two Mobile Phone App to Monitor Gestational Weight Gain. JMIR mHealth and uHealth 2015;3(2):e44
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  15. Nätt D, Kugelberg U, Casas E, Nedstrand E, Zalavary S, Henriksson P, Nijm C, Jäderquist J, Sandborg J, Flinke E, Ramesh R, Örkenby L, Appelkvist F, Lingg T, Guzzi N, Bellodi C, Löf M, Vavouri T, Öst A, Locasale JW. Human sperm displays rapid responses to diet. PLOS Biology 2019;17(12):e3000559
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  16. de Korte E, Wiezer N, Bakhuys Roozeboom M, Vink P, Kraaij W. Behavior Change Techniques in mHealth Apps for the Mental and Physical Health of Employees: Systematic Assessment. JMIR mHealth and uHealth 2018;6(10):e167
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  17. Bellocco R, Marrone G, Ye W, Nyrén O, Adami H, Mariosa D, Lagerros YT. A prospective cohort study of the combined effects of physical activity and anthropometric measures on the risk of post-menopausal breast cancer. European Journal of Epidemiology 2016;31(4):395
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  18. Riley WT, Rivera DE, Atienza AA, Nilsen W, Allison SM, Mermelstein R. Health behavior models in the age of mobile interventions: are our theories up to the task?. Translational Behavioral Medicine 2011;1(1):53
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  19. Ureña R, Chiclana F, Gonzalez-Alvarez A, Herrera-Viedma E, Moral-Munoz JA. m-SFT: A Novel Mobile Health System to Assess the Elderly Physical Condition. Sensors 2020;20(5):1462
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  20. Forsum E, Janerot-Sjöberg B, Löf M. MET-values of standardised activities in relation to body fat: studies in pregnant and non-pregnant women. Nutrition & Metabolism 2018;15(1)
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  21. Stevens CJ, Bryan AD. Rebranding Exercise: There's an App for That. American Journal of Health Promotion 2012;27(2):69
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  22. Kumar S, Nilsen WJ, Abernethy A, Atienza A, Patrick K, Pavel M, Riley WT, Shar A, Spring B, Spruijt-Metz D, Hedeker D, Honavar V, Kravitz R, Craig Lefebvre R, Mohr DC, Murphy SA, Quinn C, Shusterman V, Swendeman D. Mobile Health Technology Evaluation. American Journal of Preventive Medicine 2013;45(2):228
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  23. Rotheram-Borus MJ, Tomlinson M, Swendeman D, Lee A, Jones E. Standardized Functions for Smartphone Applications: Examples from Maternal and Child Health. International Journal of Telemedicine and Applications 2012;2012:1
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  24. O’Reilly GA, Spruijt-Metz D. Current mHealth Technologies for Physical Activity Assessment and Promotion. American Journal of Preventive Medicine 2013;45(4):501
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  25. Şahin F, Yan Z. Mobile Phones in Data Collection. International Journal of Cyber Behavior, Psychology and Learning 2013;3(3):67
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  26. Monroe CM, Thompson DL, Bassett DR, Fitzhugh EC, Raynor HA. Usability of Mobile Phones in Physical Activity–Related Research: A Systematic Review. American Journal of Health Education 2015;46(4):196
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  27. Bärebring L, Brembeck P, Löf M, Brekke HK, Winkvist A, Augustin H. Food intake and gestational weight gain in Swedish women. SpringerPlus 2016;5(1)
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  28. de Korte EM, Wiezer N, Janssen JH, Vink P, Kraaij W. Evaluating an mHealth App for Health and Well-Being at Work: Mixed-Method Qualitative Study. JMIR mHealth and uHealth 2018;6(3):e72
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  29. Bexelius C, Sandin S, Trolle Lagerros Y, Litton J, Löf M. Estimation of Physical Activity Levels Using Cell Phone Questionnaires: A Comparison With Accelerometry for Evaluation of Between-Subject and Within-Subject Variations. Journal of Medical Internet Research 2011;13(3):e70
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  30. Ek A, Alexandrou C, Delisle Nyström C, Direito A, Eriksson U, Hammar U, Henriksson P, Maddison R, Trolle Lagerros Y, Löf M. 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. BMC Public Health 2018;18(1)
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  31. Daugherty BL, Schap TE, Ettienne-Gittens R, Zhu FM, Bosch M, Delp EJ, Ebert DS, Kerr DA, Boushey CJ. Novel Technologies for Assessing Dietary Intake: Evaluating the Usability of a Mobile Telephone Food Record Among Adults and Adolescents. Journal of Medical Internet Research 2012;14(2):e58
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  32. Hedlund L, Brembeck P, Olausson H, Anderson ML. Determinants of Vitamin D Status in Fair-Skinned Women of Childbearing Age at Northern Latitudes. PLoS ONE 2013;8(4):e60864
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  33. Dunton GF, Liao Y, Intille SS, Spruijt‐Metz D, Pentz M. Investigating Children's Physical Activity and Sedentary Behavior Using Ecological Momentary Assessment With Mobile Phones. Obesity 2011;19(6):1205
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  34. Helbostad J, Vereijken B, Becker C, Todd C, Taraldsen K, Pijnappels M, Aminian K, Mellone S. Mobile Health Applications to Promote Active and Healthy Ageing. Sensors 2017;17(3):622
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  35. Pfaeffli L, Maddison R, Jiang Y, Dalleck L, Löf M. Measuring Physical Activity in a Cardiac Rehabilitation Population Using a Smartphone-Based Questionnaire. Journal of Medical Internet Research 2013;15(3):e61
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  36. Ghilotti F, Pesonen A, Raposo SE, Winell H, Nyrén O, Trolle Lagerros Y, Plymoth A, Schildgen O. Physical activity, sleep and risk of respiratory infections: A Swedish cohort study. PLOS ONE 2018;13(1):e0190270
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  37. Buchholz SW, Wilbur J, Ingram D, Fogg L. Physical Activity Text Messaging Interventions in Adults: A Systematic Review. Worldviews on Evidence-Based Nursing 2013;10(3):163
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  38. Lagerros YT, Sandin S, Bexelius C, Litton J, Löf M. Estimating physical activity using a cell phone questionnaire sent by means of short message service (SMS): a randomized population-based study. European Journal of Epidemiology 2012;27(7):561
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  39. Luckett DJ, Laber EB, Kahkoska AR, Maahs DM, Mayer-Davis E, Kosorok MR. Estimating Dynamic Treatment Regimes in Mobile Health Using V-Learning. Journal of the American Statistical Association 2020;115(530):692
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  40. Pearson JF, Brownstein CA, Brownstein JS. Potential for Electronic Health Records and Online Social Networking to Redefine Medical Research. Clinical Chemistry 2011;57(2):196
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  41. Jaworski CA, Ladewski M. Quality Improvement Strategies to Enhance Physical Activity. Current Cardiovascular Risk Reports 2014;8(12)
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  42. Salih Joelsson L, Elenis E, Wanggren K, Berglund A, Iliadou AN, Cesta CE, Mumford SL, White R, Tydén T, Skalkidou A, Alves MAG. Investigating the effect of lifestyle risk factors upon number of aspirated and mature oocytes in in vitro fertilization cycles: Interaction with antral follicle count. PLOS ONE 2019;14(8):e0221015
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  43. Jeng M, Yeh T, Pai F. Analyzing Older Adults’ Perceived Values of Using Smart Bracelets by Means–End Chain. Healthcare 2020;8(4):494
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  44. Jeng M, Yeh T, Pai F. A Performance Evaluation Matrix for Measuring the Life Satisfaction of Older Adults Using eHealth Wearables. Healthcare 2022;10(4):605
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  45. Khare MM, Zimmermann K, Lyons R, Locklin C, Gerber BS. Feasibility of promoting physical activity using mHEALTH technology in rural women: the step-2-it study. BMC Women's Health 2021;21(1)
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  46. Amiri P, Ahmadian L, Khajouei R. The applications and the effectiveness of mHealth interventions to manage lung cancer patients: a systematic review. Health and Technology 2023;13(2):171
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  47. da Silva HEC, Santos GNM, Ferreira Leite A, Mesquita CRM, de Souza Figueiredo PT, Miron Stefani C, de Santos Melo N. The feasibility of telehealth in the monitoring of head and neck cancer patients: a systematic review on remote technology, user adherence, user satisfaction, and quality of life. Supportive Care in Cancer 2022;30(10):8391
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  48. Elfghi M, Dunne D, Jones J, Gibson I, Flaherty G, McEvoy JW, Sultan S, Jordan F, Tawfick W. Mobile health technologies to improve walking distance in people with intermittent claudication. Cochrane Database of Systematic Reviews 2021;2021(8)
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  49. Elfghi M, Dunne D, Jones J, Gibson I, Flaherty G, McEvoy JW, Sultan S, Jordan F, Tawfick W. Mobile health technologies to improve walking distance in people with intermittent claudication. Cochrane Database of Systematic Reviews 2024;2024(2)
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According to Crossref, the following books are citing this article (DOI 10.2196/jmir.1298):

  1. Sorbi M, Evers A, van Bastelaar K. Psychologie en geneeskunde. 2012. Chapter 4:45
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  2. . Issues and Challenges in Artificial Intelligence. 2014. Chapter 10:115
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  3. Martins AI, Queirós A, Rocha NP. Design Solutions for User-Centric Information Systems. 2017. chapter 13:230
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  4. Mosa ASM, Yoo I, Sheets L. Encyclopedia of Mobile Phone Behavior. 2015. chapter 65:792
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  5. Azaria B, Kaye R, Ron R, Chen O, Bar-Ilan M, Zlatkin AS, Rotlevi E, Yeshayahu M, Roca J, Cano I, Baltaxe E, de Batlle J, Torres G, Lahr M. Impacts of Information Technology on Patient Care and Empowerment. 2020. chapter 15:291
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  6. Dias CM, Ribeiro AG, Furtado SF. Encyclopedia of E-Health and Telemedicine. 2016. chapter 24:285
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  7. . Complex, Intelligent, and Software Intensive Systems. 2020. Chapter 50:569
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