Literature DB >> 28929368

Who are mobile app users from healthy lifestyle websites? Analysis of patterns of app use and user characteristics.

Steriani Elavsky1, David Smahel2, Hana Machackova2.   

Abstract

The use of online communities and websites for health information has proliferated along with the use of mobile apps for managing health behaviors such as diet and exercise. The scarce evidence available to date suggests that users of these websites and apps differ in significant ways from non-users but most data come from US- and UK-based populations. In this study, we recruited users of nutrition, weight management, and fitness-oriented websites in the Czech Republic to better understand who uses mobile apps and who does not, including user sociodemographic and psychological profiles. Respondents aged 13-39 provided information on app use through an online survey (n = 669; M age = 24.06, SD = 5.23; 84% female). Among users interested in health topics, respondents using apps for managing nutrition, weight, and fitness (n = 403, 60%) were more often female, reported more frequent smartphone use, and more expert phone skills. In logistic regression models, controlling for sociodemographics, web, and phone activity, mHealth app use was predicted by levels of excessive exercise (OR 1.346, 95% CI 1.061-1.707, p < .01). Among app users, we found differences in types of apps used by gender, age, and weight status. Controlling for sociodemographics and web and phone use, drive for thinness predicted the frequency of use of apps for healthy eating (β = 0.14, p < .05), keeping a diet (β = 0.27, p < .001), and losing weight (β = 0.33, p < .001), whereas excessive exercise predicted the use of apps for keeping a diet (β = 0.18, p < .01), losing weight (β = 0.12, p < .05), and managing sport/exercise (β = 0.28, p < .001). Sensation seeking was negatively associated with the frequency of use of apps for maintaining weight (β = - 0.13, p < .05). These data unveil the user characteristics of mHealth app users from nutrition, weight management, and fitness websites, helping inform subsequent design of mHealth apps and mobile intervention strategies.

Keywords:  Healthy lifestyle websites; Individual differences; Mobile app users; Smartphones

Mesh:

Year:  2017        PMID: 28929368      PMCID: PMC5684086          DOI: 10.1007/s13142-017-0525-x

Source DB:  PubMed          Journal:  Transl Behav Med        ISSN: 1613-9860            Impact factor:   3.046


  23 in total

1.  Brief measures of sensation seeking for screening and large-scale surveys.

Authors:  Michael T Stephenson; Rick H Hoyle; Philip Palmgreen; Michael D Slater
Journal:  Drug Alcohol Depend       Date:  2003-12-11       Impact factor: 4.492

2.  STARE-HI--Statement on reporting of evaluation studies in Health Informatics.

Authors:  Jan Talmon; Elske Ammenwerth; Jytte Brender; Nicolette de Keizer; Pirkko Nykänen; Michael Rigby
Journal:  Int J Med Inform       Date:  2008-10-18       Impact factor: 4.046

3.  A user-centered model for designing consumer mobile health (mHealth) applications (apps).

Authors:  Rebecca Schnall; Marlene Rojas; Suzanne Bakken; William Brown; Alex Carballo-Dieguez; Monique Carry; Deborah Gelaude; Jocelyn Patterson Mosley; Jasmine Travers
Journal:  J Biomed Inform       Date:  2016-02-20       Impact factor: 6.317

4.  The role of health anxiety in online health information search.

Authors:  Susanne E Baumgartner; Tilo Hartmann
Journal:  Cyberpsychol Behav Soc Netw       Date:  2011-05-06

5.  Short assessment of the Big Five: robust across survey methods except telephone interviewing.

Authors:  Frieder R Lang; Dennis John; Oliver Lüdtke; Jürgen Schupp; Gert G Wagner
Journal:  Behav Res Methods       Date:  2011-06

6.  Risk for self-reported anorexia or bulimia nervosa based on drive for thinness and negative affect clusters/dimensions during adolescence: A three-year prospective study of the TChAD cohort.

Authors:  Eva Peñas-Lledó; Cynthia M Bulik; Paul Lichtenstein; Henrik Larsson; Jessica H Baker
Journal:  Int J Eat Disord       Date:  2015-05-27       Impact factor: 4.861

7.  Use of an online smoking cessation community promotes abstinence: Results of propensity score weighting.

Authors:  Amanda L Graham; George D Papandonatos; Bahar Erar; Cassandra A Stanton
Journal:  Health Psychol       Date:  2015-12       Impact factor: 4.267

8.  Pathological motivations for exercise and eating disorder specific health-related quality of life.

Authors:  Brian Cook; Scott Engel; Ross Crosby; Heather Hausenblas; Stephen Wonderlich; James Mitchell
Journal:  Int J Eat Disord       Date:  2013-10-17       Impact factor: 4.861

Review 9.  Apps to promote physical activity among adults: a review and content analysis.

Authors:  Anouk Middelweerd; Julia S Mollee; C Natalie van der Wal; Johannes Brug; Saskia J Te Velde
Journal:  Int J Behav Nutr Phys Act       Date:  2014-07-25       Impact factor: 6.457

10.  Health App Use Among US Mobile Phone Owners: A National Survey.

Authors:  Paul Krebs; Dustin T Duncan
Journal:  JMIR Mhealth Uhealth       Date:  2015-11-04       Impact factor: 4.773

View more
  14 in total

1.  UK Adults' Exercise Locations, Use of Digital Programs, and Associations with Physical Activity During the COVID-19 Pandemic: Longitudinal Analysis of Data From the Health Behaviours During the COVID-19 Pandemic Study.

Authors:  Verena Schneider; Dimitra Kale; Aleksandra Herbec; Emma Beard; Abigail Fisher; Lion Shahab
Journal:  JMIR Form Res       Date:  2022-06-21

2.  Use of Dietary Management in Irritable Bowel Syndrome: Results of a Survey of Over 1500 United States Gastroenterologists.

Authors:  Adrienne Lenhart; Courtney Ferch; Michael Shaw; William D Chey
Journal:  J Neurogastroenterol Motil       Date:  2018-07-30       Impact factor: 4.924

3.  Adherence to a Mindfulness and Relaxation Self-Care App for Cancer Patients: Mixed-Methods Feasibility Study.

Authors:  Michael Mikolasek; Claudia M Witt; Jürgen Barth
Journal:  JMIR Mhealth Uhealth       Date:  2018-12-06       Impact factor: 4.773

4.  "A good little tool to get to know yourself a bit better": a qualitative study on users' experiences of app-supported menstrual tracking in Europe.

Authors:  Johanna Levy; Nuria Romo-Avilés
Journal:  BMC Public Health       Date:  2019-09-03       Impact factor: 3.295

5.  Inequalities in the Use of eHealth Between Socioeconomic Groups Among Patients With Type 1 and Type 2 Diabetes: Cross-Sectional Study.

Authors:  Anne Helen Hansen; Meghan Bradway; Jan Broz; Tor Claudi; Øystein Henriksen; Silje C Wangberg; Eirik Årsand
Journal:  J Med Internet Res       Date:  2019-05-29       Impact factor: 5.428

6.  Characteristics and Usage Patterns Among 12,151 Paid Subscribers of the Calm Meditation App: Cross-Sectional Survey.

Authors:  Jennifer Huberty; Ana-Maria Vranceanu; Colleen Carney; Michael Breus; Michael Gordon; Megan Elizabeth Puzia
Journal:  JMIR Mhealth Uhealth       Date:  2019-11-03       Impact factor: 4.773

7.  Use of the Consumer-Based Meditation App Calm for Sleep Disturbances: Cross-Sectional Survey Study.

Authors:  Jennifer Huberty; Megan E Puzia; Linda Larkey; Michael R Irwin; Ana-Maria Vranceanu
Journal:  JMIR Form Res       Date:  2020-11-13

8.  Patterns of digital information and communication technology use among patients at primary health care centres in Colombia: Phase I of the DIADA project.

Authors:  Fernando Suárez-Obando; Carlos Gómez-Restrepo; Sergio Castro-Diaz; Paola Paez-Rojas; José M Uribe-Restrepo; John A Naslund; William C Torrey; Leonardo Cubillos; Sophia M Bartels; Makeda J Williams; Lisa A Marsch
Journal:  Rev Colomb Psiquiatr (Engl Ed)       Date:  2021-07-10

9.  Effect of mHealth With Offline Antiobesity Treatment in a Community-Based Weight Management Program: Cross-Sectional Study.

Authors:  Youngin Kim; Bumjo Oh; Hyun-Young Shin
Journal:  JMIR Mhealth Uhealth       Date:  2020-01-21       Impact factor: 4.773

10.  Evaluation is Key: Providing Appropriate Evaluation Measures for Participatory and User-Centred Design Processes of Healthcare IT.

Authors:  Lorenz Harst; Bastian Wollschlaeger; Jule Birnstein; Tina Fuchs; Patrick Timpel
Journal:  Int J Integr Care       Date:  2021-06-21       Impact factor: 5.120

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.