Predicting Acceptance of e-Mental Health Interventions in Patients with Obesity by using an extended Unified Theory of Acceptance Model: Cross-sectional study (Preprint)-Reference-Cited by-同舟云学术

Predicting Acceptance of e-Mental Health Interventions in Patients with Obesity by using an extended Unified Theory of Acceptance Model: Cross-sectional study (Preprint)

Published:2021-06-14 Issue: Volume: Page:
ISSN:2561-326X
Container-title:JMIR Formative Research
language:en
Short-container-title:

Author:

Rentrop Vanessa^ORCID,Damerau Mirjam^ORCID,Schweda Adam^ORCID,Steinbach Jasmin^ORCID,Schüren Lynik Chantal^ORCID,Niedergethmann Marco^ORCID,Skoda Eva-Maria^ORCID,Teufel Martin^ORCID,Bäuerle Alexander^ORCID

Publisher

JMIR Publications Inc.

Subject

Computer Science Applications,Health Informatics,Medicine (miscellaneous)

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2. Assessment of the Efficacy, Safety, and Effectiveness of Weight Control and Obesity Management Mobile Health Interventions: Systematic Review

3. A Systematic Review of Application and Effectiveness of mHealth Interventions for Obesity and Diabetes Treatment and Self-Management

4. Obesity Affects Nursing-Care Facility Admission among Whites but Not Blacks

5. Innovative E-Health-Ansätze für komorbide Depressionen bei Patienten mit Adipositas: Nutzungsakzeptanz aus Patienten- und Expertenperspektive

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