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

Measures of Physical Activity Using Cell Phones: Validation Using Criterion Methods

Measures of Physical Activity Using Cell Phones: Validation Using Criterion Methods

Measures of Physical Activity Using Cell Phones: Validation Using Criterion Methods

Journals

  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 View
  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 View
  3. Lind J, Kälvemark Sporrong S, Kaae S, Rantanen J, Genina N. Social aspects in additive manufacturing of pharmaceutical products. Expert Opinion on Drug Delivery 2017;14(8):927 View
  4. Abel M, Lee K, Loglisci R, Righter A, Hipper T, Cheskin L. Consumer Understanding of Calorie Labeling. Health Promotion Practice 2015;16(2):236 View
  5. Svensson Å, Larsson C. A Mobile Phone App for Dietary Intake Assessment in Adolescents: An Evaluation Study. JMIR mHealth and uHealth 2015;3(4):e93 View
  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 View
  7. Henriksson P, Sandborg J, Blomberg M, Alexandrou C, Maddison R, Silfvernagel K, Henriksson H, Leppänen M, Migueles J, 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 View
  8. Löf M. Physical activity pattern and activity energy expenditure in healthy pregnant and non-pregnant Swedish women. European Journal of Clinical Nutrition 2011;65(12):1295 View
  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 View
  10. Cesta C, Johansson A, Hreinsson J, Rodriguez‐Wallberg K, Olofsson J, 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 View
  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 View
  12. Sunil Kumar D, Prakash B, Subhash Chandra B, Kadkol P, Arun V, Thomas J, Kulkarni P, Gopi A, Murthy M. Technological innovations to improve health outcome in type 2 diabetes mellitus: A randomized controlled study. Clinical Epidemiology and Global Health 2021;9:53 View
  13. Bellocco R, Jia C, Ye W, Lagerros Y. 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 View
  14. Knight-Agarwal C, Davis D, 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 View
  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 J. Human sperm displays rapid responses to diet. PLOS Biology 2019;17(12):e3000559 View
  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 View
  17. Bellocco R, Marrone G, Ye W, Nyrén O, Adami H, Mariosa D, Lagerros Y. 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 View
  18. Riley W, Rivera D, Atienza A, Nilsen W, Allison S, 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 View
  19. Ureña R, Chiclana F, Gonzalez-Alvarez A, Herrera-Viedma E, Moral-Munoz J. m-SFT: A Novel Mobile Health System to Assess the Elderly Physical Condition. Sensors 2020;20(5):1462 View
  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) View
  21. Stevens C, Bryan A. Rebranding Exercise: There's an App for That. American Journal of Health Promotion 2012;27(2):69 View
  22. Kumar S, Nilsen W, Abernethy A, Atienza A, Patrick K, Pavel M, Riley W, Shar A, Spring B, Spruijt-Metz D, Hedeker D, Honavar V, Kravitz R, Craig Lefebvre R, Mohr D, Murphy S, Quinn C, Shusterman V, Swendeman D. Mobile Health Technology Evaluation. American Journal of Preventive Medicine 2013;45(2):228 View
  23. Rotheram-Borus M, 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 View
  24. O’Reilly G, Spruijt-Metz D. Current mHealth Technologies for Physical Activity Assessment and Promotion. American Journal of Preventive Medicine 2013;45(4):501 View
  25. Şahin F, Yan Z. Mobile Phones in Data Collection. International Journal of Cyber Behavior, Psychology and Learning 2013;3(3):67 View
  26. Monroe C, Thompson D, Bassett D, Fitzhugh E, Raynor H. Usability of Mobile Phones in Physical Activity–Related Research: A Systematic Review. American Journal of Health Education 2015;46(4):196 View
  27. Bärebring L, Brembeck P, Löf M, Brekke H, Winkvist A, Augustin H. Food intake and gestational weight gain in Swedish women. SpringerPlus 2016;5(1) View
  28. de Korte E, Wiezer N, Janssen J, 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 View
  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 View
  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) View
  31. Daugherty B, Schap T, Ettienne-Gittens R, Zhu F, Bosch M, Delp E, Ebert D, Kerr D, Boushey C. 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 View
  32. Hedlund L, Brembeck P, Olausson H, Anderson M. Determinants of Vitamin D Status in Fair-Skinned Women of Childbearing Age at Northern Latitudes. PLoS ONE 2013;8(4):e60864 View
  33. Dunton G, Liao Y, Intille S, 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 View
  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 View
  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 View
  36. Ghilotti F, Pesonen A, Raposo S, 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 View
  37. Buchholz S, 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 View
  38. Lagerros Y, 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 View
  39. Luckett D, Laber E, Kahkoska A, Maahs D, Mayer-Davis E, Kosorok M. Estimating Dynamic Treatment Regimes in Mobile Health Using V-Learning. Journal of the American Statistical Association 2020;115(530):692 View
  40. Pearson J, Brownstein C, Brownstein J. Potential for Electronic Health Records and Online Social Networking to Redefine Medical Research. Clinical Chemistry 2011;57(2):196 View
  41. Jaworski C, Ladewski M. Quality Improvement Strategies to Enhance Physical Activity. Current Cardiovascular Risk Reports 2014;8(12) View
  42. Salih Joelsson L, Elenis E, Wanggren K, Berglund A, Iliadou A, Cesta C, Mumford S, White R, Tydén T, Skalkidou A, Alves M. 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 View
  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 View
  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 View
  45. Khare M, Zimmermann K, Lyons R, Locklin C, Gerber B. Feasibility of promoting physical activity using mHEALTH technology in rural women: the step-2-it study. BMC Women's Health 2021;21(1) View
  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 View
  47. da Silva H, Santos G, Ferreira Leite A, Mesquita C, de Souza Figueiredo P, 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 View
  48. Elfghi M, Dunne D, Jones J, Gibson I, Flaherty G, McEvoy J, 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) View
  49. Elfghi M, Dunne D, Jones J, Gibson I, Flaherty G, McEvoy J, 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) View

Books/Policy Documents

  1. Sorbi M, Evers A, van Bastelaar K. Psychologie en geneeskunde. View
  2. Czarnul P. Issues and Challenges in Artificial Intelligence. View
  3. Martins A, Queirós A, Rocha N. Design Solutions for User-Centric Information Systems. View
  4. Mosa A, Yoo I, Sheets L. Encyclopedia of Mobile Phone Behavior. View
  5. Azaria B, Kaye R, Ron R, Chen O, Bar-Ilan M, Zlatkin A, 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. View
  6. Dias C, Ribeiro A, Furtado S. Encyclopedia of E-Health and Telemedicine. View
  7. Saad A. Complex, Intelligent, and Software Intensive Systems. View