Abstract :
[en] Introduction
Depression in young adults is closely linked to modifiable lifestyle behaviors. Building on our preliminary findings, which highlighted suboptimal sleep quality, poor nutritional habits, sedentary routines, and deficits in mindfulness and psychological resilience as significant risk factors,1 the present study moves from identifying these factors to implementing a scalable digital solution. To address this gap, we aim to evaluate the efficacy of a dedicated web platform designed to promote sustainable lifestyle modifications as a proactive strategy for alleviating depression in young adults.
Method
This study will employ a Randomized Controlled Trial (RCT) design. Participants will be randomly assigned to one of the conditions: (1) A 5‑week modular lifestyle intervention delivered through a specialized web platform and supported by professional psychological follow‑up, targeting improvements in nutrition, sleep, physical activity, mindfulness, and resilience; or (2) a waitlist control group. The digital protocol is designed to be cross-platform (smartphone, tablet, and desktop). Longitudinal assessments of lifestyle routines and depressive symptoms will be conducted at baseline, post-intervention, and at one- and two-month follow-ups. A minimum sample size of N = 45 is targeted to ensure a robust statistical power of 0.95.
Results
The intervention's architecture is directly grounded in evidence-based behavioral models derived from our initial findings on lifestyle deficits. Currently, the study is in the implementation and data collection stage. Full statistical analyses of the intervention’s efficacy, feasibility, and long‑term impact on lifestyle risk factors will be presented at the congress.
Discussion
By integrating multi-device accessibility with professional oversight, this intervention bridges the gap between lifestyle-based behavioral activation and digital therapeutic support. This study clarifies the potential of structured, web-based protocols in managing youth depression. Our findings are expected to provide a scalable, low‑threshold approach for mental health promotion, offering a viable digital alternative or adjunct to traditional therapeutic models.
