Systematic Reviews
Copyright ©The Author(s) 2023. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Psychiatry. Apr 19, 2023; 13(4): 182-190
Published online Apr 19, 2023. doi: 10.5498/wjp.v13.i4.182
Use of new technologies for the promotion of physical activity in patients with mental illness: A systematic review
Margarita Guerrero-Jiménez, Marta Ruiz, Luis Gutiérrez-Rojas, Laura Jiménez-Muñoz, Enrique Baca-Garcia, Alejandro Porras-Segovia
Margarita Guerrero-Jiménez, Luis Gutiérrez-Rojas, Department of Psychiatry, Hospital Clínico San Cecilio, Granada 18014, Spain
Marta Ruiz, Department of Psychiatry, Hospital Rey Juan Carlos, Móstoles 28933, Madrid, Spain
Laura Jiménez-Muñoz, Alejandro Porras-Segovia, Department of Psychiatry, Hospital Universitario Jiménez Díaz, Madrid 28040, Spain
Enrique Baca-Garcia, Department of Psychiatry, Fundación Jiménez Diaz, Madrid 28040, Spain
Author contributions: Guerrero-Jiménez M and Ruiz M contributed equally to this work; Gutiérrez-Rojas L, Jiménez-Muñoz L, Baca-Garcia E and Porras-Segovia A designed the research study; Ruiz M, Jiménez-Muñoz L and Porras-Segovia A performed the research; Guerrero-Jiménez M and Ruiz M contributed analytic tools; Guerrero-Jiménez M, Ruiz M, Gutiérrez-Rojas L and Porras-Segovia A analyzed the data and wrote the manuscript; and all authors have read and approve the final manuscript.
Conflict-of-interest statement: All the authors report no relevant conflicts of interest for this article.
PRISMA 2009 Checklist statement: The authors have read the PRISMA 2009 Checklist, and the manuscript was prepared and revised according to the PRISMA 2009 Checklist.
Open-Access: This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: https://creativecommons.org/Licenses/by-nc/4.0/
Corresponding author: Luis Gutiérrez-Rojas, PhD, Professor, Department of Psychiatry, Hospital Clínico San Cecilio, Avenida del Conocimiento s/n, Granada 18014, Spain. gutierrezrojasl@hotmail.com
Received: September 27, 2022
Peer-review started: September 27, 2022
First decision: October 21, 2022
Revised: January 14, 2023
Accepted: March 21, 2023
Article in press: March 21, 2023
Published online: April 19, 2023
Processing time: 202 Days and 15.3 Hours
ARTICLE HIGHLIGHTS
Research background

Mobile applications (apps) have proven to be very useful in improving physical health in numerous medical illnesses.

Research motivation

We want to know if apps have proven to be useful in patients with mental illness.

Research objectives

The main objective of the present systematic review is to know the efficacy of apps to increase physical activity in patients suffering from mental illness.

Research methods

We have carried out a systematic review, following the Preferred Items for Reporting of Systematic Reviews and Meta-Analyses recommendations, of the last 10 years, selecting articles that have studied the efficacy of apps in increasing physical activity in patients with mental illness. The quality of the selected studies was also analyzed.

Research results

From 6257 initial articles we included finally 9 articles that met the criteria for inclusion. We resume the principal studies that have showed an improvement in reduction of weight and depressive symptoms and an increase of level of satisfaction and physical exercise in patients that are suffering a mental disease.

Research conclusions

Apps can be a good strategy to improve the physical health of patients with mental illness.

Research perspectives

In the future, digital tools should be developed to analyze clinical efficacy using multivariate analysis, larger samples, including different psychiatric diseases and more specific treatments using artificial intelligence (machine learning).