Skip to main content

Effects of Internet

Effects of internet-based digital health interventions on the physical activity and quality of life of colorectal cancer survivors: a systematic review and meta-analysis


Purpose


The recent trend of Internet-based digital health interventions has driven researchers to implement them to promote physical activity (PA) and improve patients’ health outcomes. This systematic review and meta-analysis aim to evaluate the effects of Internet-based digital health interventions on PA and quality of life (QoL) in colorectal cancer (CRC) survivors.

Methods


We searched for relevant studies investigating the effects of internet-based digital health interventions published until Dec. 2022 in electronic databases (PubMed, CINAHL, EMBASE, Cochrane Central Register of Controlled Trials, and CEPS) according to PRISMA guidelines. The Joanna Briggs Institute critical appraisal checklist was used to examine the quality of the included studies. We performed the fixed and random effects model for meta-analysis.

Results


Among 746 identified studies, eight published between 2018 and 2022 were included. These covered 991 internet-based digital health interventions and 875 controls. After 6 months of internet-based digital health interventions, CRC survivors’ performance in PA (standardized mean difference (SMD) = 0.23, 95% confidence interval [CI] = 0.09-0.38) and QoL (SMD = 0.11, 95% CI = 0.01-0.22) indicators improved significantly.

Conclusions


Internet-based digital health improved the PA behaviour and QoL of patients with CRC. Because of differences in intervention outcomes, additional randomized controlled trials are warranted to provide suggestions for clinical practice. Internet-based digital health interventions are promising for promoting PA in CRC survivors.

network security, computer networks, data communication, wireless networking, LAN, WAN, VPN, network topology, routing protocols, cybersecurity, firewall protection, cloud networking, IoT connectivity, network infrastructure, bandwidth management, network monitoring, server configuration, IP addressing, network performance, digital communication

#NetworkTechnology, #NetworkSecurity, #DataCommunication, #WirelessNetwork, #LAN, #WAN, #VPN, #Routing, #Cybersecurity, #CloudNetworking, #IoTNetwork, #NetworkInfrastructure, #FirewallProtection, #ServerSetup, #BandwidthControl, #NetworkMonitoring, #IPConfiguration, #DigitalConnectivity, #SmartNetwork, #TechNetwork

Comments

Post a Comment

Popular posts from this blog

Global Lighthouse Network

Smart, sustainable manufacturing: 3 lessons from the Global Lighthouse Network Launched in 2018, when more than 70% of factories struggled to scale digital transformation beyond isolated pilots, the Global Lighthouse Network set out to identify the world’s most advanced production sites and create a shared learning journey to up-level the global manufacturing community. In the past seven years, the network has grown from 16 to 201 industrial sites in more than 30 countries and 35 sectors, including the latest cohort of 13 new sites. This growing community of organizations is setting new standards for operational excellence, leveraging advanced technologies to drive growth, productivity, resilience and environmental sustainability. But what exactly is a Global Lighthouse and what has the network achieved? What is the Global Lighthouse Network? The Global Lighthouse Network is a community of operational facilities and value chains that harness digital technologies at scale to ac...
Post a Comment
Read more

Multi-Modal Data

Multi-Task Federated Split Learning Across Multi-Modal Data with Privacy Preservation With the advancement of federated learning (FL), there is a growing demand for schemes that support multi-task learning on multi-modal data while ensuring robust privacy protection, especially in applications like intelligent connected vehicles. Traditional FL schemes often struggle with the complexities introduced by multi-modal data and diverse task requirements, such as increased communication overhead and computational burdens. In this paper, we propose a novel privacy-preserving scheme for multi-task federated split learning across multi-modal data (MTFSLaMM). Our approach leverages the principles of split learning to partition models between clients and servers, employing a modular design that reduces computational demands on resource-constrained clients. To ensure data privacy, we integrate differential privacy to protect intermediate data and employ homomorphic encryption to safeguard client m...
Post a Comment
Read more

Quantum Network Nodes

An operating system for executing applications on quantum network nodes The goal of future quantum networks is to enable new internet applications that are impossible to achieve using only classical communication . Up to now, demonstrations of quantum network applications  and functionalities   on quantum processors have been performed in ad hoc software that was specific to the experimental setup, programmed to perform one single task (the application experiment) directly into low-level control devices using expertise in experimental physics.  Here we report on the design and implementation of an architecture capable of executing quantum network applications on quantum processors in platform-independent high-level software. We demonstrate the capability of the architecture to execute applications in high-level software by implementing it as a quantum network operating system-QNodeOS-and executing test programs, including a delegated computation from a client to a server ...
Post a Comment
Read more