Literature DB >> 25536190

Feasibility of popular m-health technologies for activity tracking among individuals with serious mental illness.

John A Naslund1, Kelly A Aschbrenner, Laura K Barre, Stephen J Bartels.   

Abstract

Obesity prevalence is nearly double among individuals with serious mental illness (SMI), including schizophrenia spectrum disorders, bipolar disorder, or major depressive disorder, compared with the general population. Emerging mobile health (m-health) technologies are increasingly available and offer the potential to support lifestyle interventions targeting weight loss, yet the practical feasibility of using these technologies in this high-risk group has not been established. We evaluated the feasibility and acceptability of popular m-health technologies for activity tracking among overweight and obese individuals with SMI. We provided wearable activity monitoring devices (FitBit [San Francisco, CA] Zip™ or Nike Inc. [Beaverton, OR] FuelBand) and smartphones (Apple [Cupertino, CA] iPhone(®) 4S) for accessing the smartphone application for each device to participants with SMI enrolled in a weight loss program. Feasibility of these devices was measured by the frequency of use over time. Acceptability was measured through qualitative follow-up interviews with participants. Ten participants with SMI wore the devices for a mean of 89% (standard deviation=13%) of the days in the study. Five participants wore the devices 100% of the time. Participants reported high satisfaction, stating the devices were easy to use, helpful for setting goals, motivational, and useful for self-monitoring. Several participants liked the social connectivity feature of the devices where they could see each other's progress on the smartphone application, noting that "friendly" competition increased motivation to be more physically active. This study supports using popular m-health technologies for activity tracking among individuals with SMI. These findings can inform the design of weight loss interventions targeting this vulnerable patient population.

Entities:  

Keywords:  behavioral health; commercial telemedicine; mobile health; telemedicine; telepsychiatry

Mesh:

Year:  2014        PMID: 25536190      PMCID: PMC4365437          DOI: 10.1089/tmj.2014.0105

Source DB:  PubMed          Journal:  Telemed J E Health        ISSN: 1530-5627            Impact factor:   3.536


  19 in total

1.  Development and usability testing of FOCUS: a smartphone system for self-management of schizophrenia.

Authors:  Dror Ben-Zeev; Susan M Kaiser; Christopher J Brenner; Mark Begale; Jennifer Duffecy; David C Mohr
Journal:  Psychiatr Rehabil J       Date:  2013-09-09

2.  Feasibility, acceptability, and preliminary efficacy of a smartphone intervention for schizophrenia.

Authors:  Dror Ben-Zeev; Christopher J Brenner; Mark Begale; Jennifer Duffecy; David C Mohr; Kim T Mueser
Journal:  Schizophr Bull       Date:  2014-03-08       Impact factor: 9.306

3.  Movement toward a novel activity monitoring device.

Authors:  Hawley E Montgomery-Downs; Salvatore P Insana; Jonathan A Bond
Journal:  Sleep Breath       Date:  2011-10-06       Impact factor: 2.816

4.  Prevalence and severity of mental health-related disability and relationship to diagnosis.

Authors:  Kristy Sanderson; Gavin Andrews
Journal:  Psychiatr Serv       Date:  2002-01       Impact factor: 3.084

5.  Clinically significant improved fitness and weight loss among overweight persons with serious mental illness.

Authors:  Stephen J Bartels; Sarah I Pratt; Kelly A Aschbrenner; Laura K Barre; Kenneth Jue; Rosemarie S Wolfe; Haiyi Xie; Gregory McHugo; Meghan Santos; Gail E Williams; John A Naslund; Kim T Mueser
Journal:  Psychiatr Serv       Date:  2013-08-01       Impact factor: 3.084

Review 6.  The technology boom: a new era in obesity management.

Authors:  L Anne Gilmore; Abby F Duhé; Elizabeth A Frost; Leanne M Redman
Journal:  J Diabetes Sci Technol       Date:  2014-02-27

7.  Electronic feedback in a diet- and physical activity-based lifestyle intervention for weight loss: a randomized controlled trial.

Authors:  Sara L Shuger; Vaughn W Barry; Xuemei Sui; Amanda McClain; Gregory A Hand; Sara Wilcox; Rebecca A Meriwether; James W Hardin; Steven N Blair
Journal:  Int J Behav Nutr Phys Act       Date:  2011-05-18       Impact factor: 6.457

8.  The law of attrition.

Authors:  Gunther Eysenbach
Journal:  J Med Internet Res       Date:  2005-03-31       Impact factor: 5.428

9.  Adherence to a smartphone application for weight loss compared to website and paper diary: pilot randomized controlled trial.

Authors:  Michelle Clare Carter; Victoria Jane Burley; Camilla Nykjaer; Janet Elizabeth Cade
Journal:  J Med Internet Res       Date:  2013-04-15       Impact factor: 5.428

10.  Factors related to sustained use of a free mobile app for dietary self-monitoring with photography and peer feedback: retrospective cohort study.

Authors:  Elina Helander; Kirsikka Kaipainen; Ilkka Korhonen; Brian Wansink
Journal:  J Med Internet Res       Date:  2014-04-15       Impact factor: 5.428

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  50 in total

Review 1.  Crowdsourcing for conducting randomized trials of internet delivered interventions in people with serious mental illness: A systematic review.

Authors:  John A Naslund; Kelly A Aschbrenner; Lisa A Marsch; Gregory J McHugo; Stephen J Bartels
Journal:  Contemp Clin Trials       Date:  2015-07-16       Impact factor: 2.226

Review 2.  Health behavior models for informing digital technology interventions for individuals with mental illness.

Authors:  John A Naslund; Kelly A Aschbrenner; Sunny Jung Kim; Gregory J McHugo; Jürgen Unützer; Stephen J Bartels; Lisa A Marsch
Journal:  Psychiatr Rehabil J       Date:  2017-02-09

3.  Wearable devices and mobile technologies for supporting behavioral weight loss among people with serious mental illness.

Authors:  John A Naslund; Kelly A Aschbrenner; Emily A Scherer; Gregory J McHugo; Lisa A Marsch; Stephen J Bartels
Journal:  Psychiatry Res       Date:  2016-07-02       Impact factor: 3.222

4.  Feasibility of Behavioral Weight Loss Treatment Enhanced with Peer Support and Mobile Health Technology for Individuals with Serious Mental Illness.

Authors:  Kelly A Aschbrenner; John A Naslund; Megan Shevenell; Kim T Mueser; Stephen J Bartels
Journal:  Psychiatr Q       Date:  2016-09

5.  Peer support and mobile health technology targeting obesity-related cardiovascular risk in young adults with serious mental illness: Protocol for a randomized controlled trial.

Authors:  Kelly A Aschbrenner; John A Naslund; Amy A Gorin; Kim T Mueser; Emily A Scherer; Mark Viron; Allison Kinney; Stephen J Bartels
Journal:  Contemp Clin Trials       Date:  2018-10-11       Impact factor: 2.226

6.  Experiences of remote mood and activity monitoring in bipolar disorder: A qualitative study.

Authors:  K E A Saunders; A C Bilderbeck; P Panchal; L Z Atkinson; J R Geddes; G M Goodwin
Journal:  Eur Psychiatry       Date:  2017-01-27       Impact factor: 5.361

7.  A mixed methods study of peer-to-peer support in a group-based lifestyle intervention for adults with serious mental illness.

Authors:  Kelly A Aschbrenner; John A Naslund; Stephen J Bartels
Journal:  Psychiatr Rehabil J       Date:  2016-08-25

8.  Wearable Devices and Smartphones for Activity Tracking Among People with Serious Mental Illness.

Authors:  John A Naslund; Kelly A Aschbrenner; Stephen J Bartels
Journal:  Ment Health Phys Act       Date:  2016-03

9.  Peer health coaching for overweight and obese individuals with serious mental illness: intervention development and initial feasibility study.

Authors:  Kelly A Aschbrenner; John A Naslund; Laura K Barre; Kim T Mueser; Allison Kinney; Stephen J Bartels
Journal:  Transl Behav Med       Date:  2015-09       Impact factor: 3.046

10.  The future of mental health care: peer-to-peer support and social media.

Authors:  J A Naslund; K A Aschbrenner; L A Marsch; S J Bartels
Journal:  Epidemiol Psychiatr Sci       Date:  2016-01-08       Impact factor: 6.892

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