Mental Health Fact : Combining Sensor Data + Self-Report Boosts Early Prediction of Depression & Anxiety
Beyond Feelings: How Your Body & Behavior Can Predict Mental Health Risk It’s not just how you feel, it’s what your body is doing . A new model called ProMind-LLM integrates objective sensor data (sleep, activity, phone use, heart rate variability) with self-reported mood to predict depression and anxiety risk more accurately than using self-report alone. ( arXiv +1 ) Why This Matters: Early warning signs : Your body often signals distress before your thoughts catch up — e.g., restless sleep or low movement. Grounded insight : Self-report is essential, but it’s imperfect. Integrating physical data gives a fuller, more reliable picture. Actionable awareness : When you see patterns (e.g., “I slept poorly and my mood dipped”), you can intervene sooner. Bridges mind & body : Recovery or awareness isn’t just mental — it’s embodied. This kind of approach respects that complexity. Quick Takeaways If you use wearables or mood journaling, don’t ...