Characterization of Smartphone-related Diseases Using the Phonix Care Application (PHX_2022_1)

Phonix Health

Status

Completed

Conditions

Screen Time

Treatments

Device: PhonixDiag Smartphone Monitoring Tool

Study type

Observational

Funder types

Industry

Identifiers

NCT07293208

PHX_OBS_CERGA_2022

Details and patient eligibility

About

The goal of this observational study is to describe how adolescents and young adults use screens in their daily lives and to identify different profiles of screen use ranging from low to excessive. The study also aims to understand how screen-use behaviors relate to health, motivation, and sociodemographic factors.

The main questions it aims to answer are:

What are the objective and self-reported patterns of screen use (e.g., frequency of use, types of apps, daily time spent, usage periods)?

Do distinct screen-use profiles emerge (low, moderate, intensive/excessive) when taking into account:

Age, gender, educational track (general, technological, vocational), Parents' socioeconomic status, Health variables (sleep quality, physical activity/sedentary behavior, well-being), Cognitive and conative variables (self-regulation capacity, academic motivation)? Are excessive users characterized by specific patterns, such as intensive use of social media, video platforms, or video games combined with mood problems, sleep difficulties, or motivational issues? Do screen-use profiles vary depending on age group (middle school, high school, university) and gender?

Are there mediating mechanisms explaining excessive use? Specifically:

Does poor self-regulation mediate the link between screen-use intensity and well-being? Do sleep problems mediate the link between excessive nighttime use and mood disturbances (anxiety, depression)? Do academic motivation and cognitive factors mediate differences between moderate and excessive users? If groups differ, researchers will compare low-use, moderate-use, and excessive-use profiles to determine whether they show meaningful differences in health, motivation, and sociodemographic characteristics.

Participants will:

Install a smartphone application that passively records daily screen-use indicators (e.g., usage time, app categories, frequency of openings, time windows of use).

Complete questionnaires assessing:

Self-reported screen use, Sleep, physical activity, well-being, Mood variables (anxiety, depression), Self-regulation, Academic motivation, Sociodemographic factors (age, gender, parents' SES, educational track).

Enrollment

171 patients

Sex

All

Ages

12 to 25 years old

Volunteers

Accepts Healthy Volunteers

Inclusion criteria