Data Analysis Project · Gen Z · 2026

Impact of Social Media on Mental Health

A behavioral analytics research project uncovering how digital habits shape the psychological wellbeing of Gen Z — locally in Egypt and globally. Moving beyond assumptions to data-driven evidence.

Explore Insights → Explore Live Dashboard

About the Project

Why does this matter?

Social media use among Gen Z has become a daily constant — yet its relationship with mental health is often discussed through opinion rather than data. This project was built to change that.

We studied whether habits like screen time, doomscrolling, morning phone checks, and short-form content consumption correlate with increased anxiety, overthinking, mood instability, and disrupted sleep — across both Egyptian Gen Z and a global sample.

See Findings →

Research Question

Does social media usage correlate with measurable psychological strain in Gen Z?

Scope

Egypt (local sample) + global Gen Z behavioral data

Approach

Data analysis to discover the impact of digital habits on mental health

Outcome

Evidence-based recommendations for healthier digital habits

Sample Insights

Exploratory Findings

A showcase of preliminary correlations and sample behavioral patterns analyzed from Gen Z digital footprints.

Higher Usage → More Social Comparison

Increased social media use is strongly associated with elevated levels of social comparison behavior, affecting self-perception and satisfaction.

More Screen Time → Increased Overthinking

Higher usage rates correlate with measurably greater levels of overthinking and rumination, particularly in the hours before sleep.

Screen Time Raises Sleep Disorder Risk

Elevated daily screen time is positively correlated with higher risk of sleep problems — difficulty falling asleep, lower sleep quality, and reduced duration.

Sleep Instability → Mood Instability

As sleep disorder risk increases, mood stability decreases. Poor sleep and emotional dysregulation form a reinforcing cycle.

Morning Phone Check → Higher Nervousness

Individuals who check their phones immediately upon waking show significantly higher self-reported nervousness and irritability throughout the day.

Short-Form Video Drives Screen Time & Poor Sleep

Short-form video content (Reels, TikTok, Shorts) is the content type most strongly correlated with both increased daily screen time and sleep disruption.

Data Exploration

Interactive Power BI Dashboard

An interactive Power BI analytics dashboard synthesizing 10,000+ behavioral records — mapping screen time, social comparison, doomscrolling, and sleep disruption across Gen Z populations.

Total Records 10,000+

Avg Screen Time 4.5 hrs/day

Sleep Impact 68%

Anxiety Correl. +0.74

Mental Health Impact Dashboard .pbix

Open Full Screen

Scientific Foundation

Supporting Research

Our behavioral analytics findings align with and are validated by peer-reviewed clinical studies on social media's impact on youth mental health, attention, and digital wellness.

Mental Health Digital Habits JAMA Network

Social Media Detox & Youth Mental Health

Impact of Restricting Usage to 30 Min/Day on Young Adults

A peer-reviewed trial analyzing how limiting daily social media consumption to 30 minutes improves anxiety, depression, and sleep quality within one week.

1 WEEK RECOVERY TIME

Cohort & Demographics Young adults, Age 18–24

Key Framework Digital Phenotyping & EMA

Intervention Usage capped at 30 min/day

Publication Year 2023

Study Participants

417 enrolled
373 baseline assessments
295 joined the detox
Age group: 18–24 years
Smartphone & English required

Introduction

This study examined the relationship between social media usage and mental health among young adults aged 18–24. Researchers aimed to understand whether reducing social media engagement could improve psychological well-being using objective behavioral tracking instead of relying only on self-reported data.

Objective

Investigate how social media behavior affects mental health
Measure the psychological impact of a short-term social media detox
Identify whether problematic engagement patterns are more harmful than total screen time

Research Methodology

Phase 01 — Baseline Observation (2 Weeks)

Researchers objectively tracked participant behavior across major social media platforms: Instagram, TikTok, Snapchat, Facebook, and X.

Tracked metrics included:

Screen time
App pickups
Notification frequency
Daily mental health assessments using EMAs

Phase 02 — Social Media Detox (1 Week)

Participants voluntarily reduced their use of the selected social media platforms while researchers continued monitoring behavioral and psychological changes.

Key Results

Mental Health Improvements

Depression symptoms decreased by 24.8%
Anxiety symptoms decreased by 16.1%
Insomnia symptoms decreased by 14.5%

Behavioral Changes

Significant decrease in social media engagement
Slight increase in non-social screen activities
Increased time spent at home by approximately 42.8 minutes/day

Main Findings

The quality of social media engagement matters more than total usage time
Negative social comparison and compulsive engagement patterns are strongly linked to poor mental health outcomes
Participants with higher baseline mental health symptoms benefited the most from the detox intervention

Conclusion

Even a short-term reduction in social media exposure can produce meaningful improvements in emotional well-being, anxiety, depression, and sleep quality. The findings suggest that healthier digital habits may play an important role in improving youth mental health.

Explore Full Study Paper JAMA Open, 2025

Attention Digital Well-being PNAS Nexus

Blocking Mobile Internet Improves Attention & Well-being

Randomized Controlled Trial on Removing Constant Mobile Internet Access

A randomized controlled crossover trial evaluating whether disconnecting from continuous mobile connectivity improves sustained attention, reduces cognitive distraction, and enhances emotional well-being.

2 WEEKS RECOVERY TIME

Cohort & Demographics Motivated iPhone users

Key Framework Randomized Controlled Trial

Intervention Mobile internet blocked via Freedom app

Publication Year 2025

Study Participants

467 participants
Location: United States & Canada
Device requirement: iPhone users
Gender distribution: 63% female
Motivation: Motivated to reduce usage

Introduction

This randomized controlled trial explored the psychological and cognitive effects of removing constant mobile internet access from smartphones. The study investigated whether disconnecting from continuous online connectivity could improve attention span, mental health, and overall well-being.

Objective

Provide causal evidence about the psychological effects of mobile internet access
Measure how constant online connectivity impacts attention and mental health
Evaluate whether reducing smartphone internet usage encourages healthier offline behaviors

Research Methodology

Intervention Period (2 Weeks)

Participants installed the Freedom app, which blocked mobile internet access, Wi-Fi connectivity, and mobile data usage. Smartphones could still be used for calls and text messaging. Internet access was still allowed through laptops and desktop devices.

Blocked connectivity:

Mobile internet access
Wi-Fi connectivity
Mobile data usage

Study Design

The experiment utilized a crossover randomized controlled trial with objective compliance tracking through the blocking application.

Researchers measured:

Sustained attention
Mental health indicators
Subjective well-being
Behavioral changes

Key Results

Mental Health & Well-being

Significant improvements in emotional well-being and stress reduction
Significant decrease in anxiety and depression symptoms
Effect size comparable to/stronger than clinical antidepressant interventions

Cognitive & Behavioral Changes

Sustained attention improved (comparable to 10 years younger cognitively)
Increased face-to-face social interaction and physical activity
Better sleep quality, more time outdoors, hobbies, and reading

Main Findings

Constant mobile internet access creates continuous cognitive distraction
Reducing online accessibility encourages healthier, active offline behaviors
Participants with higher baseline Fear of Missing Out (FoMO) experienced the strongest benefits

Conclusion

Blocking mobile internet access for only two weeks significantly improved attention span, mental health, and daily lifestyle behaviors. The findings provide strong evidence that constant smartphone connectivity may negatively affect psychological functioning and cognitive performance.

Explore Full Study Paper PNAS Nexus, 2025

Actionable Insights

Recommendations

Evidence-based habits to protect mental health in a hyper-connected world.

Delay Your Morning Phone Check

Avoid checking your phone for the first 30–60 minutes after waking. Data shows this simple habit is associated with lower daily nervousness and more stable mood throughout the day.

Schedule Regular Digital Detox Periods

Deliberately allocating daily or weekly offline time has been shown in referenced studies to reduce anxiety, improve focus, and restore emotional regulation.

Reduce Short-Form Video Consumption

Short-form content (TikTok, Reels, Shorts) is the single strongest driver of screen time overrun and sleep disruption. Consider time limits or scheduled viewing windows.

Track Your App's Mental Impact

Actively monitor how individual apps affect your mood and anxiety. Use built-in screen time reports to identify patterns between heavy app use and emotional state changes.

Use Grayscale Mode to Reduce Compulsive Use

Switching your device display to grayscale removes the dopamine-triggering color stimulation that makes apps artificially compelling, reducing mindless scrolling significantly.

The Team

Data Reapers

A multidisciplinary cohort of analysts and researchers bridging empirical evidence with behavioral insights.

Yossef Haytham

Data Collection · Researcher

Structuring academic methodologies, coordinating data acquisition, and synthesizing clinical study alignment.

Research Data Collection Research Insights Synthesis

Ahmed Sherif

Data Modeling

Engineering relational schemas, architecting normalized database structures, and optimizing pipeline performance.

Data Modeling Schema Design Feature Engineering

Ibrahim Abduljawad

Data Analysis

Conducting multi-dimensional exploratory analysis, extracting behavioral insights, and validating statistical models.

Data Validation Statistics Insights

Ahmed Kamal

Data Visualization / Reporting

Designing high-fidelity interactive interfaces, crafting visual narratives, and polishing dashboard user experiences.

Visualization Power BI Storytelling