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Completed

NCT Number: NCT07293208

Characterization of Smartphone-related Diseases Using the Phonix Care Application

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).

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Key information

Age range

12 year–25 year

Sex eligibility

All sexes

Study type

Observational

Primary location

Université Grenoble Alpes

Saint-Martin-d'Hères, France

Who can participate

Healthy volunteers accepted: Yes

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

  • Own an Android smartphone
  • Have at least 200 MB of storage on your smartphone
  • Be in middle school, high school, or university
  • Be enrolled in a school within the Grenoble academy district

Exclusion criteria

  • Own an iPhone
  • Participate in an interventional study in the field within the last six months
  • Not sign the consent form

Treatment and study plan

PhonixDiag Smartphone Monitoring Tool

Device

PhonixDiag is a passive smartphone-based monitoring tool designed to collect objective digital behavior indicators in real time. The tool runs in the background of the participant's smartphone and records daily screen-use patterns, including frequency of app openings, time spent on recreational applications, usage periods throughout the day, and nighttime phone activity. PhonixDiag does not modify the participant's phone use or deliver any behavioral intervention. It functions solely as a data collection system to objectively assess screen-use behaviors and identify usage profiles (low, moderate, excessive). The tool is distinct from other digital interventions because it does not provide feedback, warnings, or recommendations, and operates exclusively for passive monitoring purposes.

Other names: PhonixDiag App

Primary outcomes

  1. Objective Screen Use Time (Daily Median Over Monitoring Period)

    Time frame: From enrollment to the end of treatment at 4 weeks

    Objective screen-use time will be measured using the PhonixDiag smartphone monitoring tool. The outcome corresponds to the median daily duration (in minutes) spent on smartphone applications across the full monitoring period. This includes all app categories and reflects real-world behavioral engagement with digital media. The measure will be used to classify participants into usage profiles (low, moderate, excessive) and to examine associations with age, gender, socioeconomic status, sleep, physical activity, well-being, self-regulation, and academic motivation.

Secondary outcomes

  1. Self-Reported Screen Use (Questionnaire Score)

    Time frame: 1 day

    Participants will self-report their perceived daily screen time and frequency of use across app categories. Questionnaire responses will be used to compare subjective and objective measures of screen use and to explore potential biases in self-estimation.

  2. Sleep Quality (Self-Reported Index)

    Time frame: 7 days

    Participants will complete a self-reported measure of sleep quality, including sleep duration, bedtime regularity, and perceived sleep disturbances. This outcome will be explored in relation to objective nighttime digital activity and mood variables.

  3. Physical Activity and Sedentary Behavior (Self-Reported Levels)

    Time frame: 7 days

    Participants will report their weekly physical activity, sitting time, and sedentary behaviors using standardized self-report questionnaires. These variables will be examined as predictors or correlates of screen-use profiles.

  4. Well-Being (Self-Reported Score)

    Time frame: 1 day

    Participants will complete a validated well-being questionnaire assessing positive mental health, life satisfaction, and emotional balance. Scores will be compared across screen-use profiles and related to objective digital behaviors.

  5. Anxiety (Self-Reported Symptom Score)

    Time frame: 1 day

    Anxiety symptoms will be assessed using a standard validated questionnaire. This outcome will be used to examine associations with objective digital behaviors.

  6. Depressive Symptoms (Self-Reported Score)

    Time frame: 1 day

    Participants will complete a validated depression questionnaire. Scores will be examined in relation to objective smartphone use indicators and will support analyses of risk factors for problematic digital use.

  7. Self-Regulation Capacity (Self-Reported Score)

    Time frame: 1 day

    Self-regulation will be assessed using a validated questionnaire measuring planning, inhibition, and control. This measure will help characterize screen-use profiles and explore cognitive factors associated with excessive use.

  8. Academic Motivation (Self-Reported Score)

    Time frame: 1 day

    Participants will complete a validated measure of academic motivation covering intrinsic, identified, introjected, and external regulation. Motivation scores will be analyzed across usage profiles to investigate potential conative differences between groups.

Sponsors and collaborators

Lead sponsor

Phonix Health

Industry

Registry information

Official study title

Characterization of Smartphone User Profiles (Caractérisation de Profils d'Utilisateurs de Smartphone)

Acronym: PHX_2022_1

Important dates

Study start
2022
Primary completion
2023
Study completion
2023
First posted
Dec 19, 2025
Registry last updated
Dec 19, 2025

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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