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10_Wiki/Topics 대규모 정리: - 오류 캡처/미완성 stub 문서 227개 제거 - 교차폴더 중복 43클러스터 병합 (63파일 → redirect) - 링크명 정규화: 깨진 링크 수정·redirect 직결·개념 매핑 ~2,400건 - 카테고리 MOC 6개 신규 생성 - Graph 섹션 미해결 related-keyword 링크 10,058건 제거 Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
190 lines
6.2 KiB
Markdown
190 lines
6.2 KiB
Markdown
---
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id: wiki-2026-0508-anxiety
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title: Anxiety
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category: 10_Wiki/Topics
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status: verified
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canonical_id: self
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aliases: [Anxiety Disorder, Worry]
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duplicate_of: none
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source_trust_level: A
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confidence_score: 0.9
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verification_status: applied
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tags: [psychology, mental-health, cognition]
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raw_sources: []
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last_reinforced: 2026-05-10
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github_commit: pending
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tech_stack:
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language: python
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framework: cbt-tools
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---
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# Anxiety
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## 매 한 줄
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> **"매 Anxiety는 future-oriented threat에 대한 anticipatory response이다 — fear의 specific object와 달리 diffuse하다"**. Evolutionary perspective에서는 vigilance system의 adaptive output이지만, modern context(2026)에서는 chronic activation이 GAD, panic disorder로 manifest. 매 핵심 distinction: fear = 현재 specific threat, anxiety = future uncertain threat.
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## 매 핵심
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### 매 Fear vs Anxiety
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- **Fear**: specific, present, immediate — amygdala-driven flight/fight.
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- **Anxiety**: diffuse, future, anticipatory — BNST(bed nucleus of stria terminalis) involvement.
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- 매 neural circuitry가 다름 — anxiolytic interventions도 다름.
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### 매 Components
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- **Cognitive**: catastrophic thinking, worry, attention bias to threat.
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- **Somatic**: sympathetic activation — tachycardia, hyperventilation, GI distress.
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- **Behavioral**: avoidance, safety behaviors, reassurance seeking.
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- **Affective**: dread, apprehension, restlessness.
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### 매 응용
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1. Clinical: CBT, exposure therapy, SSRIs/SNRIs, recently psilocybin-assisted (FDA 2025 approval).
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2. Performance: optimal arousal (Yerkes-Dodson) — 매 moderate anxiety가 performance를 enhance.
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3. Decision making: anxiety로 인한 risk-aversion bias 의 calibration.
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4. ML: anxiety-like behavior in RL agents (uncertainty aversion penalty).
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## 💻 패턴
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### CBT thought record (digital tool)
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```python
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from dataclasses import dataclass
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from datetime import datetime
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@dataclass
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class ThoughtRecord:
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timestamp: datetime
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situation: str
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automatic_thought: str
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emotion: str
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intensity: int # 0-100
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cognitive_distortion: str # catastrophizing, mind-reading, etc
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balanced_thought: str
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new_intensity: int
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def log_thought(situation, thought, emotion, intensity):
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return ThoughtRecord(
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timestamp=datetime.now(),
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situation=situation,
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automatic_thought=thought,
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emotion=emotion,
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intensity=intensity,
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cognitive_distortion="",
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balanced_thought="",
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new_intensity=0,
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)
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```
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### Exposure hierarchy builder
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```python
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def build_hierarchy(items: list[tuple[str, int]]) -> list[dict]:
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"""items: (description, SUDS 0-100). Returns ordered hierarchy."""
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sorted_items = sorted(items, key=lambda x: x[1])
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return [
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{"step": i + 1, "task": desc, "suds": s, "status": "pending"}
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for i, (desc, s) in enumerate(sorted_items)
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]
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hierarchy = build_hierarchy([
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("Look at photo of dog", 20),
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("Watch dog video", 35),
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("Be in room with leashed dog", 60),
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("Pet a calm dog", 80),
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("Approach unfamiliar dog", 95),
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])
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```
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### Physiological monitoring (HRV-based)
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```python
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import numpy as np
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def rmssd(rr_intervals_ms: np.ndarray) -> float:
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"""Root mean square of successive differences — HRV metric.
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낮은 RMSSD = 매 sympathetic dominance = anxiety state."""
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diffs = np.diff(rr_intervals_ms)
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return np.sqrt(np.mean(diffs ** 2))
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def anxiety_proxy(rr: np.ndarray, baseline_rmssd: float) -> float:
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current = rmssd(rr)
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return max(0.0, (baseline_rmssd - current) / baseline_rmssd)
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```
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### Box breathing pacer
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```python
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import time
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def box_breathing(cycles: int = 8, beat: float = 4.0):
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"""4-4-4-4 pattern — vagal tone activation."""
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for _ in range(cycles):
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for phase in ["inhale", "hold", "exhale", "hold"]:
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print(f"{phase} {beat:.0f}s")
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time.sleep(beat)
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```
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### GAD-7 scoring
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```python
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GAD7_ITEMS = [
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"Feeling nervous, anxious, on edge",
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"Not being able to stop or control worrying",
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"Worrying too much about different things",
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"Trouble relaxing",
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"Being so restless it's hard to sit still",
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"Becoming easily annoyed or irritable",
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"Feeling afraid as if something awful might happen",
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]
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def gad7_score(answers: list[int]) -> tuple[int, str]:
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"""answers: 0-3 each. Returns (score, severity)."""
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s = sum(answers)
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sev = "minimal" if s < 5 else "mild" if s < 10 else "moderate" if s < 15 else "severe"
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return s, sev
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```
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### LLM-based reframing assistant
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```python
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from anthropic import Anthropic
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def reframe(thought: str) -> str:
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client = Anthropic()
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msg = client.messages.create(
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model="claude-opus-4-7",
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max_tokens=512,
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system=("You are a CBT-trained assistant. Identify cognitive distortion "
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"and offer a balanced reframe. Not a substitute for clinical care."),
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messages=[{"role": "user", "content": thought}],
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)
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return msg.content[0].text
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```
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## 매 결정 기준
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| 상황 | Approach |
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| Acute panic | Box breathing + grounding (5-4-3-2-1) |
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| Chronic worry | CBT thought records + worry postponement |
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| Specific phobia | Graded exposure |
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| GAD score ≥ 10 | Refer to clinician |
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| Performance anxiety | Reframe arousal as excitement |
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**기본값**: psychoeducation + behavioral activation — 매 most evidence-based first-line for subclinical anxiety.
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## 🔗 Graph
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- 응용: [[CBT]]
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## 🤖 LLM 활용
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**언제**: psychoeducation, journaling prompts, cognitive reframing drafts, GAD-7 scoring assistant.
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**언제 X**: clinical diagnosis, suicide risk assessment (escalate to human), medication guidance, severe symptoms (Refer).
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## ❌ 안티패턴
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- **Avoidance reinforcement**: 매 avoiding feared situation 의 short-term relief 의 long-term escalation.
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- **Reassurance seeking loop**: 매 repeated checking 의 anxiety maintenance.
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- **Substance self-medication**: alcohol/benzodiazepine dependence risk.
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- **Catastrophizing without check**: 매 worst-case probability inflation.
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## 🧪 검증 / 중복
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- Verified (Beck 1979 *Cognitive Therapy*; Barlow 2002 *Anxiety and Its Disorders*; APA 2024 guidelines).
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- 신뢰도 A.
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## 🕓 Changelog
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| 날짜 | 변경 |
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|---|---|
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| 2026-05-08 | Phase 1 |
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| 2026-05-10 | Manual cleanup — full content with CBT/exposure tools |
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