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Dataset Information

Predicting Acceptance of e-Mental Health Interventions in Patients With Obesity by Using an Extended Unified Theory of Acceptance Model: Cross-sectional Study.


ABSTRACT:

Background

The rapid increase in the number of people who are overweight and obese is a worldwide health problem. Obesity is often associated with physiological and mental health burdens. Owing to several barriers to face-to-face psychotherapy, a promising approach is to exploit recent developments and implement innovative e-mental health interventions that offer various benefits to patients with obesity and to the health care system.

Objective

This study aims to assess the acceptance of e-mental health interventions in patients with obesity and explore its influencing predictors. In addition, the well-established Unified Theory of Acceptance and Use of Technology (UTAUT) model is compared with an extended UTAUT model in terms of variance explanation of acceptance.

Method

SUBMITTER: Rentrop V 

PROVIDER: S-EPMC8972105 | biostudies-literature | 2022 Mar

REPOSITORIES: biostudies-literature