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Showing posts from October, 2024

Suicide Risk in Mental Illness

🔢 Overall Suicide Risk in Mental Illness ✅ General Estimate: About 4–10% of people with serious mental illness (SMI) die by suicide over their lifetime. This is significantly higher than the general population risk: ~0.5–1% lifetime. But it’s also true that 90–96% of people with mental illness do not die by suicide. --- 🎯 By Specific Disorders: Disorder Suicide Death Rate (Lifetime) Notes Schizophrenia 5–10% Often occurs in early stages Bipolar Disorder 10–15% One of the highest risks Major Depression (severe) 2–6% Risk varies with severity, chronicity Borderline Personality Disorder 8–10% Impulsivity + mood instability Anorexia Nervosa 5–20% Highest among all mental disorders PTSD, OCD, Anxiety <2% Higher than general population, but lower than above > Note: These are death rates, not attempt rates. Suicide attempts are 10–20× more common than deaths. --- 📉 Effect of Therapy or Treatment This is more difficult to quantify exactly, but here’s what the evidence shows: ✅ People ...

Empathy vs. Sympathy vs. Ignorance

📊 Estimating Public Attitudes: Empathy vs. Sympathy vs. Ignorance 🔍 Data Sources: Singapore national survey (N=2,632): • 38.3% believe mentally ill individuals are dangerous • 49.6% feel “public should be protected from them”   Global stigma research: • Public often views mentally ill individuals as unpredictable, untrustworthy, or dangerous • Only ~60% of people with mental illness seek treatment—reflecting stigma and avoidance   --- 🧠 Attitude Categories & Estimated Distribution: Attitude Category Estimated % of Public Description A. Empathy 10–15% Truly understand, compassionate, willing to support and integrate mentally ill individuals B. Sympathy 25–30% Feel sorry or concerned, but also uncomfortable or distance themselves C. Ignorance / Stigma 55–65% Fear, misinformation, desire to avoid contact, belief in stereotypes or social distancing --- 🚦 Why This Estimate? Surveys like Singapore’s show around 40–50% of respondents endorse negative stereotypes or ...

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