Literature DB >> 20351876

Using mobile & personal sensing technologies to support health behavior change in everyday life: lessons learned.

Predrag Klasnja1, Sunny Consolvo, David W McDonald, James A Landay, Wanda Pratt.   

Abstract

Lifestyle modification is a key facet of the prevention and management of chronic diseases. Mobile devices that people already carry provide a promising platform for facilitating these lifestyle changes. This paper describes key lessons learned from the development and evaluation of two mobile systems for encouraging physical activity. We argue that by supporting persistent cognitive activation of health goals, encouraging an extensive range of relevant healthy behaviors, focusing on long-term patterns of activity, and facilitating social support as an optional but not primary motivator, systems can be developed that effectively motivate behavior change and provide support when and where people make decisions that affect their health.

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Year:  2009        PMID: 20351876      PMCID: PMC2815473     

Source DB:  PubMed          Journal:  AMIA Annu Symp Proc        ISSN: 1559-4076


  7 in total

1.  Long term adherence to dietary recommendations after inpatient rehabilitation: prospective follow up study of patients with coronary heart disease.

Authors:  D Twardella; H Merx; H Hahmann; B Wüsten; D Rothenbacher; H Brenner
Journal:  Heart       Date:  2005-09-13       Impact factor: 5.994

Review 2.  Secondary prevention of coronary heart disease.

Authors:  A M Zafari; N K Wenger
Journal:  Arch Phys Med Rehabil       Date:  1998-08       Impact factor: 3.966

3.  Predictors of women's exercise maintenance after cardiac rehabilitation.

Authors:  Shirley M Moore; Mary A Dolansky; Cornelia M Ruland; Fredric J Pashkow; Gordon G Blackburn
Journal:  J Cardiopulm Rehabil       Date:  2003 Jan-Feb       Impact factor: 2.081

Review 4.  Prevention and treatment of obesity with lifestyle interventions: review and meta-analysis.

Authors:  Carmen Galani; Heinz Schneider
Journal:  Int J Public Health       Date:  2007       Impact factor: 3.380

5.  Are behavioural approaches feasible and effective in the treatment of type 2 diabetes? A propensity score analysis vs. prescriptive diet.

Authors:  G Forlani; C Lorusso; S Moscatiello; V Ridolfi; N Melchionda; S Di Domizio; G Marchesini
Journal:  Nutr Metab Cardiovasc Dis       Date:  2008-08-22       Impact factor: 4.222

Review 6.  Mobile eHealth interventions for obesity: a timely opportunity to leverage convergence trends.

Authors:  James T Tufano; Bryant T Karras
Journal:  J Med Internet Res       Date:  2005-12-20       Impact factor: 5.428

7.  Using internet and mobile phone technology to deliver an automated physical activity program: randomized controlled trial.

Authors:  Robert Hurling; Michael Catt; Marco De Boni; Bruce William Fairley; Tina Hurst; Peter Murray; Alannah Richardson; Jaspreet Singh Sodhi
Journal:  J Med Internet Res       Date:  2007-04-27       Impact factor: 5.428

  7 in total
  18 in total

Review 1.  Persuasive Technology in Mobile Applications Promoting Physical Activity: a Systematic Review.

Authors:  John Matthews; Khin Than Win; Harri Oinas-Kukkonen; Mark Freeman
Journal:  J Med Syst       Date:  2016-01-09       Impact factor: 4.460

2.  Analyzing Description, User Understanding and Expectations of AI in Mobile Health Applications.

Authors:  Zhaoyuan Su; Mayara Costa Figueiredo; Jueun Jo; Kai Zheng; Yunan Chen
Journal:  AMIA Annu Symp Proc       Date:  2021-01-25

3.  Objective measurement of sociability and activity: mobile sensing in the community.

Authors:  Ethan M Berke; Tanzeem Choudhury; Shahid Ali; Mashfiqui Rabbi
Journal:  Ann Fam Med       Date:  2011 Jul-Aug       Impact factor: 5.166

Review 4.  Personal Sensing: Understanding Mental Health Using Ubiquitous Sensors and Machine Learning.

Authors:  David C Mohr; Mi Zhang; Stephen M Schueller
Journal:  Annu Rev Clin Psychol       Date:  2017-03-17       Impact factor: 18.561

5.  Context-Aware Probabilistic Models for Predicting Future Sedentary Behaviors of Smartphone Users.

Authors:  Qian He; Emmanuel O Agu
Journal:  J Healthc Inform Res       Date:  2021-11-15

6.  Adaptation of diabetes prevention program for Chinese Americans - a qualitative study.

Authors:  Ming-Chin Yeh; Wincy Lau; Siqian Chen; Ada Wong; Ho-Jui Tung; Grace X Ma; Judith Wylie-Rosett
Journal:  BMC Public Health       Date:  2022-07-11       Impact factor: 4.135

7.  Passive Sensor Data for Characterizing States of Increased Risk for Eating Disorder Behaviors in the Digital Phenotyping Arm of the Binge Eating Genetics Initiative: Protocol for an Observational Study.

Authors:  Robyn E Kilshaw; Colin Adamo; Jonathan E Butner; Pascal R Deboeck; Qinxin Shi; Cynthia M Bulik; Rachael E Flatt; Laura M Thornton; Stuart Argue; Jenna Tregarthen; Brian R W Baucom
Journal:  JMIR Res Protoc       Date:  2022-06-02

8.  Opportunities and challenges for smartphone applications in supporting health behavior change: qualitative study.

Authors:  Laura Dennison; Leanne Morrison; Gemma Conway; Lucy Yardley
Journal:  J Med Internet Res       Date:  2013-04-18       Impact factor: 5.428

9.  B-MOBILE--a smartphone-based intervention to reduce sedentary time in overweight/obese individuals: a within-subjects experimental trial.

Authors:  Dale S Bond; J Graham Thomas; Hollie A Raynor; Jon Moon; Jared Sieling; Jennifer Trautvetter; Tiffany Leblond; Rena R Wing
Journal:  PLoS One       Date:  2014-06-25       Impact factor: 3.240

10.  A Persuasive and Social mHealth Application for Physical Activity: A Usability and Feasibility Study.

Authors:  Soleh U Al Ayubi; Bambang Parmanto; Robert Branch; Dan Ding
Journal:  JMIR Mhealth Uhealth       Date:  2014-05-22       Impact factor: 4.773

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