# Sleep Quality Analysis Report

## Analysis Period
March 20, 2025 to June 20, 2025 (3 months)

---

## Sleep Duration Trend

- **Trend**: ⬆️ Improving
- **Start**: Average 6.2 hours/night
- **Current**: Average 7.1 hours/night
- **Change**: +0.9 hours (+14.5%)
- **Interpretation**: Sleep duration has increased significantly, approaching the ideal target (7.5 hours)

**Trend Line**:

---

## Sleep Efficiency

- **Average Sleep Efficiency**: 85.3%
- **Efficiency Range**: 78%-92%
- **Compliance Rate**: 63% (>85% is compliant)
- **Interpretation**: Sleep efficiency is normal, with room for improvement

**Efficiency Distribution**:
- Excellent (>90%): 15 nights
- Good (85-90%): 28 nights
- Needs Improvement (<85%): 47 nights

---

## Sleep Schedule Regularity

- **Average Bedtime**: 23:15 (range: 22:30-01:00)
- **Average Wake-up Time**: 07:05 (range: 06:30-08:30)
- **Sleep Consistency Score**: 72/100
- **Social Jetlag**: 45 minutes (later bedtime and wake-up time on weekends than workdays)
- **Interpretation**: Sleep schedule is generally regular, but with significant fluctuations on weekends

**Recommendations**:
- 🎯 Maintain a consistent wake-up time, including weekends
- 🎯 Gradually adjust bedtime to avoid excessive delays on weekends

---

## Sleep Quality Distribution

| Quality Level | Days | Percentage | Trend |
|---------|------|------|------|
| Excellent | 8 | 9% | ⬆️ |
| Very Good | 12 | 13% | ➡️ |
| Good | 15 | 17% | ⬆️ |
| Fair | 42 | 47% | ⬇️ |
| Poor | 10 | 11% | ⬇️ |
| Very Poor | 3 | 3% | ➡️ |

**Interpretation**: Sleep quality is mainly "fair", but the number of days with "good" or higher quality is increasing

---

## Nighttime Awakening Analysis

- **Average Awakening Frequency**: 1.8 times/night
- **Average Awakening Duration**: 18 minutes
- **Main Causes**:
  1. Urination (45%)
  2. Noise (25%)
  3. Overheating (15%)
  4. Other (15%)

**Recommendations**:
- 🎯 Limit fluid intake 2 hours before bedtime
- 🎯 Optimize bedroom temperature (18-22℃)
- 🎯 Use a white noise machine to mask background noise

---

## PSQI Evaluation Trend

- **Latest Score**: 8 points (fair sleep quality)
- **Previous Score**: 10 points (March 20, 2025)
- **Change**: -2 points (improving)
- **Trend**: ⬆️ Continuous improvement

**Historical Trend**:

**Component Changes**:
- Subjective Sleep Quality: 2→2 (stable)
- Sleep Onset Time: 2→2 (stable)
- Sleep Duration: 2→1 (improving)
- Sleep Efficiency: 2→1 (improving)
- Sleep Disorders: 2→1 (improving)

---

## Sleep Problem Identification

### Insomnia Assessment

- **Type**: Mixed Insomnia
- **Frequency**: 4-5 nights/week
- **Duration**: 18 months
- **Main Symptoms**:
  - ✗ Difficulty Falling Asleep (latency >30 minutes)
  - ✗ Difficulty Maintaining Sleep (nighttime awakenings >2 times)
  - ✓ No early awakening issue

- **Impacts**:
  - Daytime Fatigue: Moderate
  - Mood Irritability: Yes
  - Attention Difficulty: Yes
  - Work Performance: Mild impact

- **Recommendation**: 🏥 Persists for >3 months, consult a sleep specialist

### Sleep Apnea Screening (STOP-BANG)

- **Score**: 3/8
- **Risk Level**: Medium Risk
- **Positive Items**:
  - ✗ Snoring
  - ✗ Tired
  - ✓ Observed apnea (not observed)
  - ✗ Pressure (hypertension)
  - ✓ BMI > 28
  - ✓ Age > 50
  - ✗ Neck size > 40cm
  - ✓ Gender = male

- **Recommendation**: ⚠️ Recommend sleep study (PSG)

---

## Correlation Analysis

### Sleep ↔ Exercise

**Exercise Days vs. Rest Days**:
- Average sleep on exercise days: 7.3 hours
- Average sleep on rest days: 6.8 hours
- Difference: +0.5 hours (+7.4%)

**Impact of Exercise Timing on Sleep**:
- Morning Exercise: 7.5 hours sleep duration, quality score 7.8/10
- Afternoon Exercise: 7.2 hours sleep duration, quality score 7.5/10
- Evening Exercise: 6.8 hours sleep duration, quality score 6.8/10

**Correlation**: Moderate positive correlation (r = 0.42)
**Conclusion**: Regular exercise helps improve sleep, but avoid intense exercise 2-3 hours before bedtime

**Recommendations**:
- 🎯 Maintain regular exercise habits
- 🎯 Shift exercise time to morning or afternoon
- 🎯 Avoid intense exercise 2-3 hours before bedtime

---

### Sleep ↔ Caffeine

**Caffeine Intake Time Analysis**:
- Intake before 2 PM: Average sleep 7.2 hours, sleep onset latency 25 minutes
- Intake after 2 PM: Average sleep 6.7 hours, sleep onset latency 40 minutes
- Difference: -0.5 hours duration, +15 minutes latency

**Correlation**: Moderate negative correlation (r = -0.38)
**Conclusion**: Caffeine intake after 2 PM significantly affects sleep

**Recommendations**:
- 🎯 Avoid caffeine intake after 2 PM
- 🎯 Completely avoid caffeine 6 hours before bedtime

---

### Sleep ↔ Mood

**Impact of Sleep Quality on Next Day's Mood**:
- Good Sleep: 82% probability of positive mood next day
- Fair Sleep: 45% probability of positive mood next day
- Poor Sleep: 18% probability of positive mood next day

**Impact of Pre-sleep Mood on Sleep Onset**:
- High pre-sleep stress: 45 minutes sleep onset latency
- Low pre-sleep stress: 20 minutes sleep onset latency
- Difference: +25 minutes

**Correlation**: Strong bidirectional correlation (r = 0.65)
**Conclusion**: Sleep and mood have significant mutual influence

**Recommendations**:
- 🎯 Practice stress management before bedtime (meditation, deep breathing)
- 🎯 Establish a relaxing pre-sleep routine
- 🎯 Keep a mood journal to identify stress patterns

---

## Insights and Recommendations

### Key Insights

1. **Inconsistent Sleep Schedule is the Main Issue**
   - 45 minutes of social jetlag
   - Significant deviation of weekend schedule from workdays
   - Impact: Circadian rhythm disruption, Monday "jetlag effect"

2. **Evening Exercise Affects Sleep Onset**
   - 15 minutes longer sleep onset latency on evenings with exercise
   - Recommendation: Adjust exercise time

3. **Sleep Environment Can Be Optimized**
   - Noise-related awakenings account for 25%
   - Overheating accounts for 15%
   - Recommendation: Targeted improvements

---

### Priority Action Plan

#### Priority 1: Establish Consistent Sleep Schedule (2 Weeks)

**Goal**: Increase sleep consistency score to 85

**Specific Actions**:
1. Fix wake-up time at 07:00 (including weekends)
2. Fix bedtime at 23:00
3. Limit naps to <30 minutes, and before 3 PM
4. Gradually adjust weekend schedule (15 minutes earlier each time)

**Expected Effects**:
- Sleep Consistency Score: 72 → 85
- Sleep Efficiency Improvement: +3-5%
- Reduced Monday fatigue

---

#### Priority 2: Create Pre-sleep Routine (3 Weeks)

**Goal**: Establish a stable pre-sleep routine

**Specific Actions**:
1. Start routine 1 hour before bedtime (22:00)
2. Turn off electronic devices (22:30)
3. Dim bedroom lights
4. Engage in relaxing activities (reading, meditation, warm bath)
5. Keep bedroom quiet, dark, and cool (18-22℃)

**Expected Effects**:
- Sleep Onset Latency Reduction: 30 → 20 minutes
- Sleep Quality Improvement: Fair → Good
- Reduced pre-sleep stress

---

#### Priority 3: Optimize Sleep Environment (1 Week)

**Goal**: Eliminate environmental disturbances to sleep

**Specific Actions**:
1. Install blackout curtains
2. Use a white noise machine to mask background noise
3. Optimize temperature to 18-22℃
4. Remove bedroom clock
5. Replace with comfortable pillows and mattress

**Expected Effects**:
- Reduction in Nighttime Awakenings: 1.8 → 1.2 times/night
- Improved sleep continuity
- Better morning state

---

#### Priority 4: Lifestyle Adjustment (4 Weeks)

**Goal**: Eliminate lifestyle habits affecting sleep

**Specific Actions**:
1. Shift exercise to morning or afternoon
2. Stop caffeine intake after 2 PM
3. Avoid alcohol 3 hours before bedtime
4. Avoid heavy meals 2 hours before bedtime
5. Avoid work-related discussions 1 hour before bedtime

**Expected Effects**:
- Increase in Sleep Duration: +0.3 hours
- Sleep Quality Score Improvement: +1 point
- PSQI Score Improvement: 8 → 6

---

## Long-term Goals

- **Sleep Duration**: Reach 7.5 hours/night (current 7.1 hours)
- **Sleep Efficiency**: Improve to >90% (current 85%)
- **PSQI Score**: Reduce to ≤5 points (current 8 points)
- **Sleep Consistency**: Increase to ≥85 points (current 72 points)
- **Sleep Onset Latency**: Reduce to <20 minutes (current 28 minutes)

---

## Medical Safety Reminder

⚠️ **Medical Consultation Recommendations**:
- 🏥 Insomnia persists for >3 months, consult a sleep specialist
- 🏥 STOP-BANG ≥3, recommend sleep study (PSG)
- 🏥 Severe sleepiness affecting driving safety, seek immediate medical attention
- 🏥 Sudden severe sleep problems

---

**Report Generation Time**: June 20, 2025
**Analysis Period**: March 20, 2025 to June 20, 2025 (90 days)
**Number of Data Records**: 90 nights
**Sleep Analyzer Version**: v1.0

{
  "sleep_records": [
    {
      "id": "sleep_20250620001",
      "date": "2025-06-20",
      "sleep_times": {
        "bedtime": "23:00",
        "sleep_onset_time": "23:30",
        "wake_time": "07:00",
        "out_of_bed_time": "07:15"
      },
      "sleep_metrics": {
        "sleep_duration_hours": 7.0,
        "time_in_bed_hours": 8.25,
        "sleep_latency_minutes": 30,
        "sleep_efficiency": 84.8
      },
      "sleep_quality": {
        "subjective_quality": "fair",
        "quality_score": 5,
        "rested_feeling": "somewhat"
      },
      "factors": {
        "exercise": true,
        "exercise_time": "evening",
        "caffeine_after_2pm": false,
        "screen_time_before_bed_minutes": 60
      }
    }
  ]
}

def calculate_sleep_quality_score(record):
    """
    Calculate sleep quality score (0-10 points)

    Factor Weights:
    - Sleep Duration: 30%
    - Sleep Efficiency: 25%
    - Sleep Onset Latency: 20%
    - Nighttime Awakenings: 15%
    - Subjective Quality: 10%
    """
    score = 0

    # Sleep Duration Score (ideal 7-9 hours)
    duration = record['sleep_duration_hours']
    if 7 <= duration <= 9:
        duration_score = 10
    elif 6 <= duration < 7 or 9 < duration <= 10:
        duration_score = 7
    else:
        duration_score = 4
    score += duration_score * 0.30

    # Sleep Efficiency Score (>90% excellent)
    efficiency = record['sleep_efficiency']
    efficiency_score = min(efficiency / 90 * 10, 10)
    score += efficiency_score * 0.25

    # Sleep Onset Latency Score (<15 minutes excellent)
    latency = record['sleep_latency_minutes']
    if latency <= 15:
        latency_score = 10
    elif latency <= 30:
        latency_score = 7
    elif latency <= 45:
        latency_score = 4
    else:
        latency_score = 1
    score += latency_score * 0.20

    # Nighttime Awakening Score (0 times excellent)
    awakenings = record['awakenings']['count']
    awakening_score = max(10 - awakenings * 2, 0)
    score += awakening_score * 0.15

    # Subjective Quality Score
    quality_map = {
        'excellent': 10,
        'very_good': 8,
        'good': 7,
        'fair': 5,
        'poor': 3,
        'very_poor': 1
    }
    subjective_score = quality_map.get(
        record['sleep_quality']['subjective_quality'],
        5
    )
    score += subjective_score * 0.10

    return round(score, 1)

def calculate_sleep_consistency_score(records):
    """
    Calculate sleep consistency score (0-100 points)

    Factors:
    - Bedtime standard deviation
    - Wake-up time standard deviation
    - Sleep duration standard deviation
    - Weekday vs. weekend difference
    """
    # Extract time data
    bedtimes = [r['bedtime'] for r in records]
    wake_times = [r['wake_time'] for r in records]
    durations = [r['sleep_duration_hours'] for r in records]

    # Calculate standard deviation (minutes)
    bedtime_std = time_to_minutes_std(bedtimes)
    wake_std = time_to_minutes_std(wake_times)
    duration_std = statistics.stdev(durations)

    # Calculate weekday vs. weekend difference
    weekday_avg = avg([r['sleep_duration_hours']
                       for r in records if is_weekday(r)])
    weekend_avg = avg([r['sleep_duration_hours']
                       for r in records if is_weekend(r)])
    diff = abs(weekday_avg - weekend_avg)

    # Comprehensive score
    score = 100
    score -= bedtime_std * 0.5  # Impact of bedtime standard deviation
    score -= wake_std * 0.5     # Impact of wake-up time standard deviation
    score -= duration_std * 2   # Impact of sleep duration standard deviation
    score -= diff * 10          # Impact of weekday-weekend difference

    return max(0, min(100, round(score)))

def calculate_correlation(sleep_data, other_data, lag_days=0):
    """
    Calculate correlation between sleep and other indicators

    Parameters:
    - sleep_data: List of sleep data
    - other_data: List of other indicator data
    - lag_days: Number of lag days (considering delay effects)

    Returns:
    - correlation_coefficient: Correlation coefficient
    - p_value: Statistical significance
    - interpretation: Correlation explanation
    """
    # Align data (considering lag)
    aligned = align_data_with_lag(sleep_data, other_data, lag_days)

    # Calculate Pearson correlation coefficient
    from scipy import stats
    corr, p_value = stats.pearsonr(
        aligned['sleep_values'],
        aligned['other_values']
    )

    # Interpret correlation
    if abs(corr) < 0.3:
        strength = "Weak"
    elif abs(corr) < 0.7:
        strength = "Moderate"
    else:
        strength = "Strong"

    direction = "Positive Correlation" if corr > 0 else "Negative Correlation"
    significant = p_value < 0.05

    interpretation = f"{strength} {direction}"
    if significant:
        interpretation += " (Statistically Significant)"

    return {
        'correlation_coefficient': round(corr, 3),
        'p_value': round(p_value, 4),
        'interpretation': interpretation,
        'significant': significant
    }