Literature DB >> 30729803

Health intentions and behaviors of health app owners: a cross-sectional study.

Malwina Tuman1, Anne Moyer1.   

Abstract

Mobile devices have become widely popular in recent years. This popularity has been accompanied by the adoption of technologies created for those devices such as mobile applications (apps), many of which have been designed to facilitate achieving health goals. This study examined health-related intentions and behaviors, and their associations with mobile health app ownership in a large, nationally representative sample. Data from the Health Information National Trends Survey (HINTS) from the 2014 collection wave were analyzed. Expressing greater intentions to lose weight and to exercise was associated with owning mobile health apps. However, health app owners did not significantly differ from non-owners in their reported health behaviors in the domains of eating, exercise, and sedentary time. Although we do not know that the health apps that the app owners in this sample possessed were related to altering diet and exercise, this finding could suggest that health app owners do not use them, or that the ones available to them may be insufficient at eliciting and maintaining behaviors supporting relevant health intentions, suggesting an opportunity to leverage the capacities of mHealth technologies to produce more effective interventions delivered by apps informed by health behavior change theories.

Keywords:  HINTS; Mobile health apps; health-related behavior; intentions; mHealth

Mesh:

Year:  2019        PMID: 30729803     DOI: 10.1080/13548506.2019.1576911

Source DB:  PubMed          Journal:  Psychol Health Med        ISSN: 1354-8506            Impact factor:   2.423


  6 in total

1.  Effect of Weight Goals on Sitting and Moving During a Worksite Sedentary Time Reduction Intervention.

Authors:  Krista S Leonard; Junia N de Brito; Miranda L Larouche; Sarah A Rydell; Nathan R Mitchell; Mark A Pereira; Matthew P Buman
Journal:  Transl J Am Coll Sports Med       Date:  2022-09-15

2.  Utilization of Random Forest Classifier and Artificial Neural Network for Predicting Factors Influencing the Perceived Usability of COVID-19 Contact Tracing "MorChana" in Thailand.

Authors:  Ardvin Kester S Ong; Yogi Tri Prasetyo; Nattakit Yuduang; Reny Nadlifatin; Satria Fadil Persada; Kirstien Paola E Robas; Thanatorn Chuenyindee; Thapanat Buaphiban
Journal:  Int J Environ Res Public Health       Date:  2022-06-29       Impact factor: 4.614

3.  Characterizing the US Population by Patterns of Mobile Health Use for Health and Behavioral Tracking: Analysis of the National Cancer Institute's Health Information National Trends Survey Data.

Authors:  Camella J Rising; Roxanne E Jensen; Richard P Moser; April Oh
Journal:  J Med Internet Res       Date:  2020-05-14       Impact factor: 5.428

4.  The Intersection of Persuasive System Design and Personalization in Mobile Health: Statistical Evaluation.

Authors:  Aleise McGowan; Scott Sittig; David Bourrie; Ryan Benton; Sriram Iyengar
Journal:  JMIR Mhealth Uhealth       Date:  2022-09-14       Impact factor: 4.947

Review 5.  Influencing Factors of Acceptance and Use Behavior of Mobile Health Application Users: Systematic Review.

Authors:  Chen Wang; Huiying Qi
Journal:  Healthcare (Basel)       Date:  2021-03-22

6.  Exercise and Physical Activity eHealth in COVID-19 Pandemic: A Cross-Sectional Study of Effects on Motivations, Behavior Change Mechanisms, and Behavior.

Authors:  Gonzalo Marchant; Flavia Bonaiuto; Marino Bonaiuto; Emma Guillet Descas
Journal:  Front Psychol       Date:  2021-02-22
  6 in total

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