Doomscrolling and Mood: What the Data Shows
Doomscrolling is more than a bad habit. Studies and tracking data show clear mood effects. Here's how to make them visible in your data.
Knowledge about mental health, mood tracking, and self-reflection.
Doomscrolling is more than a bad habit. Studies and tracking data show clear mood effects. Here's how to make them visible in your data.
PHQ-9, GAD-7, PHQ-4 and WHO-5: what these validated clinical questionnaires measure, how to use them, and why they reveal more than a mood score.
How InnerPulse works: daily check-in, 82 influence factors, clinical questionnaires and automatic mood pattern analysis - every feature explained.
Quantified Self long meant only steps and heart rate. Here's how the same approach applies to mental health - honestly and practically.
Streaks motivate in language apps. In mental-health apps they can actively harm. Here's the honest reasoning and the better alternatives.
Is your antidepressant working? With structured mood tracking you see changes objectively and talk more precisely with your doctor.
Burnout develops gradually over weeks and months. Here's how to find the early warning signs in your mood data and act before it's critical.
Few factors move mood as reliably as exercise. Here's how the effect shows up in your tracking data, and how to dose it just right.
Motivation comes and goes in waves. Here's how to spot your personal patterns with tracking and work with them instead of against them.