Digital Addiction : A Multi-dataset Analysis Health Impacts, Usage Patterns, And Intervention Strategies

• Author(s):

  Atharv Kulkarni | Viraj Bramhadev Jadhav | Deepak Kakasaheb Thakar | Shrinivas Balaji Bakare | Shrutika Rupak Shete

• Keywords:

  Digital Addiction, Screen Time, Mental Health, Smartphone Usage, Social Media Addiction, Behavioral Analysis, Health Impact, Data Analysis, Digital Wellbeing, Internet Addiction

• Abstract:

  Digital Addiction Has Become A Major Worldwide Public Health Problem Which Mainly Affects Teenagers And Young People Between 15 And 25 Years Old. The Mass Adoption Of Smart- Phones Along With Social Media Platforms And Online Gaming Platforms Has Generated An Unprecedented Amount Of Digital Interaction Which Leads People To Develop Obsessive Digital Usage Patterns That Harm Their Physical And Mental Health. The Research Paper Conducts An All-encompassing Data-based Examination Of Digital Addiction Through A Multi-dataset Approach Which Combines Original Survey Information With Extensive Secondary Data Collections. The Research Findings Demonstrate That Spending Too Much Time In Front Of Screens Leads To Negative Effects On Vital Health Markers Which Include Sleep Quality, Mental Health Scores, Cognitive Performance, And Physical Activity Levels. Young People Between 15 And 25 Years Old Spend The Most Time Watching Screens While They Primarily Use Their Devices For Social Media And Entertainment Purposes. The Research Presents A Multi- Level Intervention System Which Combines Personal Behavioral Approaches With Family-based Initiatives, Institutional Support, Policy-based Directives, And A Smart Monitoring System. This System Uses Data For Tracking Purposes. The Research Paper Adds To The Growing Evidence Which Supports That Digital Addiction Requires Specific Evidence-based Treatment Approaches For The Current Digital Age.

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Other Details

• Paper id:

  IJSARTV12I6105557

• Published in:

  Volume: 12 Issue: 6 June 2026

• Publication Date:

  2026-06-01

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