Literature DB >> 25207512

Determinants of adoption of smartphone health apps among college students.

Jaehee Cho1, Margaret M Quinlan2, Dongjin Park3, Ghee-Young Noh4.   

Abstract

OBJECTIVE: To examine the effects of cognitive and contingent factors on the adoption of smartphone health apps, focusing on the technology acceptance model (TAM).
METHODS: American college students (N = 422), who currently owned smartphones but were not using health apps, completed an online survey.
RESULTS: Results from a path analysis mostly supported the proposed hypotheses, showing that subjective norm, health consciousness, health information orientation, and Internet health information use efficacy significantly affected the main components of TAM.
CONCLUSION: Study findings provide scholars and practitioners with an empirical model of explaining the cognitive and micro-mechanisms of determining the adoption of health apps, especially among younger populations.

Entities:  

Mesh:

Year:  2014        PMID: 25207512     DOI: 10.5993/AJHB.38.6.8

Source DB:  PubMed          Journal:  Am J Health Behav        ISSN: 1087-3244


  12 in total

1.  Effects of body image on college students' attitudes toward diet/fitness apps on smartphones.

Authors:  Jaehee Cho; H Erin Lee; Sun Jin Kim; Dongjin Park
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2.  Understanding the Antecedents of the Routine Use of Mobile Health Services: A Person-Technology-Health Framework.

Authors:  Fanbo Meng; Xitong Guo; Zeyu Peng; Xiaofei Zhang; Kee-Hung Lai
Journal:  Front Psychol       Date:  2022-06-16

3.  The Determinants of M-Health Adoption in Developing Countries: An Empirical Investigation.

Authors:  Ahmad Alaiad; Mohammad Alsharo; Yazan Alnsour
Journal:  Appl Clin Inform       Date:  2019-10-30       Impact factor: 2.342

4.  The Adoption of Mobile Health Applications Among University Students in Health Colleges.

Authors:  Abdulrahman M Jabour; Wajiha Rehman; Sumaira Idrees; Hemalatha Thanganadar; Kiani Hira; Mohammad A Alarifi
Journal:  J Multidiscip Healthc       Date:  2021-05-31

5.  Characteristics of and Factors Influencing College Nursing Students' Willingness to Utilize mHealth for Health Promotion.

Authors:  Scott Sittig; Caitlyn Hauff; Rebecca J Graves; Susan G Williams; Ryon C McDermott; Sharon Fruh; Heather Hall; Matt Campbell; Debra Swanzy; Theresa Wright; Geoffrey M Hudson
Journal:  Comput Inform Nurs       Date:  2020-05       Impact factor: 2.146

6.  Influence of the Business Revenue, Recommendation, and Provider Models on Mobile Health App Adoption: Three-Country Experimental Vignette Study.

Authors:  Francisco Lupiáñez-Villanueva; Frans Folkvord; Mariek Vanden Abeele
Journal:  JMIR Mhealth Uhealth       Date:  2020-06-04       Impact factor: 4.773

7.  Mobile Health Apps to Facilitate Self-Care: A Qualitative Study of User Experiences.

Authors:  Kevin Anderson; Oksana Burford; Lynne Emmerton
Journal:  PLoS One       Date:  2016-05-23       Impact factor: 3.240

8.  Exploring Digital Health Use and Opinions of University Students: Field Survey Study.

Authors:  Ilaria Montagni; Tanguy Cariou; Tiphaine Feuillet; Emmanuel Langlois; Christophe Tzourio
Journal:  JMIR Mhealth Uhealth       Date:  2018-03-15       Impact factor: 4.773

9.  Wearable Technology Acceptance in Health Care Based on National Culture Differences: Cross-Country Analysis Between Chinese and Swiss Consumers.

Authors:  Dong Yang Meier; Petra Barthelmess; Wei Sun; Florian Liberatore
Journal:  J Med Internet Res       Date:  2020-10-22       Impact factor: 5.428

10.  Adoption of Mobile Health Apps in Dietetic Practice: Case Study of Diyetkolik.

Authors:  Gorkem Akdur; Mehmet Nafiz Aydin; Gizdem Akdur
Journal:  JMIR Mhealth Uhealth       Date:  2020-10-02       Impact factor: 4.773

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