rda_achievement = (actual_intake / rda_value) * 100

status_classification:
- < 50%: Severe deficiency
- 50-75%: Insufficient
- 75-100%: Approaching target
- 100-150%: Adequate (ideal range)
- > 150%: Excess (note safety upper limit UL)

nutrient_density_score = (
    (vitamins_achieved / total_vitamins) * 40 +
    (minerals_achieved / total_minerals) * 30 +
    (fiber_achieved / fiber_rda) * 30
)

# Nutrient Intake Trend Analysis Report

## Analysis Period
March 20, 2025 to June 20, 2025 (3 months, 90 days of records)

## Macronutrient Trends

### Calorie Intake
- **Trend**: ⬇️ Declining
- **Start**: Average 2100 calories/day
- **Current**: Average 1950 calories/day
- **Change**: -150 calories/day (-7.1%)
- **Interpretation**: Moderate reduction in calorie intake, consistent with weight loss goals

**Trend Line**:

### Protein
- **Trend**: ➡️ Stable
- **Average**: 82g/day (range: 70-95g)
- **Target**: 80g/day
- **Achievement Rate**: 93% (84/90 days met target)
- **Interpretation**: Stable protein intake, basically meets target

### Dietary Fiber
- **Trend**: ⬆️ Improving
- **Start**: Average 18g/day
- **Current**: Average 22g/day
- **Change**: +4g/day (+22%)
- **Target**: 30g/day
- **Interpretation**: Significant increase in fiber intake, but continued effort is needed

### Fat
- **Trend**: ⬇️ Declining
- **Start**: Average 75g/day
- **Current**: Average 68g/day
- **Change**: -7g/day (-9.3%)
- **Target**: ≤65g/day
- **Interpretation**: Reduced fat intake, close to target

**Fat Type Distribution Changes**:
| Fat Type | Start | Current | Target | Trend |
|---------|------|------|------|------|
| Saturated Fat | 25g | 20g | <20g | ⬇️ Improving |
| Monounsaturated | 30g | 32g | >35g | ⬆️ Slightly increased |
| Polyunsaturated | 15g | 12g | 15-20g | ⬇️ Need to increase |
| Trans Fat | 2g | 0.5g | 0g | ⬇️ Improving |

## Vitamin Status Trends

### Vitamin D
- **Intake Trend**: ⬆️ Increased (supplement started)
- **Start**: Average 2μg/day (dietary sources)
- **Current**: Average 52μg/day (including 2000IU supplement)
- **RDA**: 15μg/day
- **Serum Level Changes**:
  - Baseline (May 2025): 18 ng/mL
  - Current (June 2025): 22 ng/mL
  - Target: 30-100 ng/mL
- **Interpretation**: ✅ Supplement is effective, but continued monitoring is needed

### Vitamin C
- **Trend**: ⬆️ Improving
- **Start**: Average 65mg/day
- **Current**: Average 85mg/day
- **RDA**: 100mg/day
- **Achievement Rate**: From 65% → 85%
- **Suggestion**: Increase citrus fruits, kiwis, strawberries, etc.

### B Vitamins
- **Vitamin B12**: ✅ Adequate (average 2.5μg, RDA 2.4μg)
- **Folate**: ⚠️ Insufficient (average 320μg, RDA 400μg)
- **B6**: ✅ Adequate (average 1.5mg, RDA 1.3mg)

## Mineral Trends

### Calcium
- **Trend**: ➡️ Stable
- **Average**: 850mg/day
- **RDA**: 1000mg/day
- **Achievement Rate**: 85%
- **Main Sources**: Dairy 40%, Tofu 25%, Leafy greens 20%

### Iron
- **Trend**: ✅ Adequate
- **Average**: 12mg/day
- **RDA**: 8mg/day (male)
- **Achievement Rate**: 150%
- **Main Sources**: Meat, eggs, beans, leafy greens

### Sodium
- **Trend**: ⬇️ Improving
- **Start**: Average 2800mg/day
- **Current**: Average 2100mg/day
- **Target**: <2300mg/day (ideal <1500mg)
- **Interpretation**: ✅ Meets general target, ⚠️ Still need to work towards ideal target

### Potassium
- **Trend**: ⬆️ Improving
- **Start**: Average 2800mg/day
- **Current**: Average 3200mg/day
- **Target**: 3500-4700mg/day
- **Potassium/Sodium Ratio**: From 1.0 → 1.5 (target >2)
- **Suggestion**: Continue to increase fruits and vegetables

## Special Nutrient Trends

### Omega-3
- **Trend**: ⬆️ Increased (fish oil supplement)
- **Start**: Average 150mg/day
- **Current**: Average 850mg/day (including supplement)
- **Recommended Amount**: 500-1000mg/day
- **Status**: ✅ Meets target

### Choline
- **Trend**: ➡️ Stable
- **Average**: 350mg/day
- **AI (Adequate Intake)**: 425mg/day
- **Achievement Rate**: 82%
- **Main Sources**: Eggs (60%), Meat (25%), Beans (15%)

## Diet Pattern Analysis

### Food Category Distribution
| Food Category | Proportion | Change | Evaluation |
|---------|------|------|------|
| Vegetables and Fruits | 35% | +8% | ✅ Increased |
| Whole Grains | 20% | +5% | ✅ Improved |
| Refined Grains | 15% | -7% | ✅ Reduced |
| Protein Sources | 20% | Stable | ✅ Adequate |
| Added Fats | 8% | -3% | ✅ Reduced |
| Added Sugars | 2% | -2% | ✅ Reduced |

### Meal Time Pattern
- **Average Eating Window**: 12.5 hours (07:30 - 20:00)
- **Eating Frequency**: Average 4.2 times/day
- **Most Common Meal Times**:
  - Breakfast: 07:30 (90% of days)
  - Lunch: 12:15 (95% of days)
  - Dinner: 18:45 (98% of days)
  - Snack: 15:30 (60% of days)

### Diet Quality Score
- **Nutrient Density Score**: 7.2/10 (up from 6.5)
- **Food Diversity Score**: 6.8/10
- **Balanced Diet Score**: 7.5/10
- **Overall Score**: 7.2/10 → **Good**

## Insights and Recommendations

### Key Insights

1. **Dietary fiber continues to improve but is still insufficient**
   - Increased from 18g to 22g, but still below the target of 30g
   - Impacts: satiety, gut health, blood glucose control
   - Suggestion: Include at least 5g of fiber per meal

2. **Fat quality improved**
   - Reduced saturated fat, almost eliminated trans fat
   - Slightly low polyunsaturated fat, need to increase Omega-3 foods
   - Suggestion: Increase deep-sea fish, nuts, flaxseeds

3. **Sodium intake improved but potassium/sodium ratio is still low**
   - Sodium reduced by 33%, potassium increased by 14%
   - Potassium/sodium ratio rose from 1.0 to 1.5, still below target of 2.0
   - Suggestion: Continue to increase high-potassium foods (bananas, oranges, potatoes, spinach)

4. **Vitamin D supplement is effective**
   - Serum level increased from 18 to 22 ng/mL (+4ng in 4 weeks)
   - Expected to reach target range in 3-4 months
   - Suggestion: Continue supplementation and monitor regularly

### Priority Action Plan

#### Priority 1: Increase dietary fiber to 30g/day (2 weeks)

**Specific Actions**:
1. Breakfast: Whole grains (oatmeal/whole wheat bread) + fruit (9g)
2. Lunch: Brown rice/whole wheat noodles + 2 servings of vegetables (8g)
3. Dinner: Sweet potato/mixed grains + 2 servings of vegetables (8g)
4. Snack: Fruit + nuts (5g)
**Total**: 30g ✅

#### Priority 2: Optimize potassium/sodium ratio to 2.0 (4 weeks)

**Specific Actions**:
1. Reduce processed foods (main sodium source)
2. 2-3 servings of high-potassium fruits per day (bananas, oranges, kiwis)
3. Choose vegetables like spinach, potatoes, mushrooms, tomatoes
4. Use spices instead of salt for seasoning

#### Priority 3: Maintain vitamin D supplementation (long-term)

**Monitoring Plan**:
- Recheck serum level after 3 months
- Target: 40-60 ng/mL
- Adjust dosage based on results

## Nutrition Target Progress

| Target | Start | Current | Target Value | Progress | Status |
|------|------|------|--------|------|------|
| Calories | 2100 | 1950 | 1800-2000 | 100% | ✅ Met |
| Protein | 75g | 82g | 80g | 100% | ✅ Met |
| Dietary Fiber | 18g | 22g | 30g | 73% | ⚠️ In progress |
| Vitamin D | 18 ng/mL | 22 ng/mL | 30-100 | 20% | ⚠️ Improving |
| Sodium Intake | 2800mg | 2100mg | <2300 | 100% | ✅ Met |
| Omega-3 | 150mg | 850mg | 500-1000mg | 100% | ✅ Met |

---

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

{
  "date": "2025-06-20",
  "meals": [
    {
      "type": "breakfast",
      "time": "07:30",
      "foods": ["egg", "milk", "whole wheat bread"],
      "calories": 450,
      "macronutrients": {
        "protein_g": 20,
        "carbs_g": 55,
        "fat_g": 15,
        "fiber_g": 5,
        "saturated_fat_g": 5,
        "monounsaturated_fat_g": 6,
        "polyunsaturated_fat_g": 3,
        "trans_fat_g": 0.1
      },
      "micronutrients": {
        "vitamin_a_mcg": 150,
        "vitamin_c_mg": 5,
        "vitamin_d_mcg": 1.5,
        "vitamin_e_mg": 1,
        "vitamin_k_mcg": 5,
        "thiamine_mg": 0.3,
        "riboflavin_mg": 0.4,
        "niacin_mg": 4,
        "vitamin_b6_mg": 0.1,
        "folate_mcg": 30,
        "vitamin_b12_mcg": 0.6,
        "calcium_mg": 250,
        "iron_mg": 2,
        "magnesium_mg": 40,
        "phosphorus_mg": 200,
        "zinc_mg": 2,
        "selenium_mcg": 10,
        "potassium_mg": 350,
        "sodium_mg": 300
      },
      "special_nutrients": {
        "omega_3_g": 0.1,
        "choline_mg": 150
      }
    }
  ],
  "daily_summary": {
    "total_calories": 2000,
    "total_macronutrients": {
      "protein_g": 80,
      "carbs_g": 250,
      "fat_g": 65,
      "fiber_g": 30
    },
    "rda_achievement": {
      "protein": 100,
      "vitamin_c": 85,
      "vitamin_d": 35,
      "calcium": 90,
      "iron": 75
    },
    "goal_achieved": true
  }
}

def calculate_rda_achievement(actual_intake, rda_value, ul_value=None):
    """
    Calculate RDA achievement rate and status

    Parameters:
    - actual_intake: Actual intake amount
    - rda_value: Recommended Dietary Allowance
    - ul_value: Tolerable Upper Intake Level (optional)

    Returns:
    - achievement_rate: Achievement rate percentage
    - status: Status label
    """
    achievement_rate = (actual_intake / rda_value) * 100

    if ul_value and actual_intake > ul_value:
        status = "exceeds_ul"
        category = "Excess (Dangerous)"
    elif achievement_rate < 50:
        status = "severe_deficiency"
        category = "Severe Deficiency"
    elif achievement_rate < 75:
        status = "insufficient"
        category = "Insufficient"
    elif achievement_rate < 100:
        status = "approaching_target"
        category = "Approaching Target"
    elif achievement_rate <= 150:
        status = "adequate"
        category = "Adequate"
    else:
        status = "high_intake"
        category = "High"

    return {
        'achievement_rate': round(achievement_rate, 1),
        'status': status,
        'category': category
    }

def calculate_nutrient_density_score(meal_data):
    """
    Calculate food nutrient density score (0-10 points)

    Factor Weights:
    - Vitamin achievement rate: 40%
    - Mineral achievement rate: 30%
    - Dietary fiber: 20%
    - Restrictive nutrients (saturated fat, sodium, added sugar): 10%
    """
    score = 0

    # Vitamin score
    vitamin_achievements = [
        meal_data['micronutrients'][v] / RDA[v]
        for v in ['vitamin_a', 'vitamin_c', 'vitamin_d', 'vitamin_e', 'vitamin_k']
    ]
    vitamin_score = min(sum(vitamin_achievements) / len(vitamin_achievements), 1.5) * 10
    score += min(vitamin_score, 10) * 0.40

    # Mineral score
    mineral_achievements = [
        meal_data['micronutrients'][m] / RDA[m]
        for m in ['calcium', 'iron', 'magnesium', 'zinc']
    ]
    mineral_score = min(sum(mineral_achievements) / len(mineral_achievements), 1.5) * 10
    score += min(mineral_score, 10) * 0.30

    # Dietary fiber score
    fiber_score = min(meal_data['macronutrients']['fiber_g'] / 5, 2) * 10
    score += min(fiber_score, 10) * 0.20

    # Restrictive nutrient penalty
    penalty = 0
    if meal_data['macronutrients']['saturated_fat_g'] > 10:
        penalty += 2
    if meal_data['micronutrients']['sodium_mg'] > 600:
        penalty += 2
    if meal_data.get('added_sugars_g', 0) > 10:
        penalty += 2

    score = max(0, score - penalty * 0.10)

    return round(score, 1)

def calculate_healthy_eating_index(daily_data):
    """
    Calculate Healthy Eating Index (adapted from HEI-2015)

    Score range: 0-100 points
    """
    score = 0

    # Adequacy components (50 points total)
    # 1. Fruits (5 points)
    fruit_servings = daily_data['fruit_servings']
    score += min(fruit_servings, 2.5) * 2

    # 2. Vegetables (5 points)
    veg_servings = daily_data['vegetable_servings']
    score += min(veg_servings, 3) * 1.67

    # 3. Whole Grains (10 points)
    whole_grains_oz = daily_data['whole_grains_oz']
    score += min(whole_grains_oz, 3) * 3.33

    # 4. Dairy (10 points)
    dairy_servings = daily_data['dairy_servings']
    score += min(dairy_servings, 3) * 3.33

    # 5. Protein (5 points)
    protein_oz = daily_data['protein_oz']
    score += min(protein_oz, 5) * 1

    # 6. Seafood/Plant Protein (5 points)
    plant_protein_oz = daily_data['plant_protein_oz']
    score += min(plant_protein_oz, 2) * 2.5

    # 7. Fatty Acid Ratio (10 points)
    fat_ratio = daily_data['unsaturated_fat_g'] / max(daily_data['saturated_fat_g'], 1)
    score += min(fat_ratio, 2.5) * 4

    # Moderation components (40 points total, reverse scoring)
    # 8. Refined Grains (10 points, less is better)
    refined_grains_oz = daily_data['refined_grains_oz']
    score += max(10 - refined_grains_oz * 2, 0)

    # 9. Sodium (10 points, less is better)
    sodium_g = daily_data['sodium_mg'] / 1000
    score += max(10 - sodium_g * 2, 0)

    # 10. Added Sugars (10 points, less is better)
    added_sugars_pct = daily_data['added_sugars_g'] / (daily_data['total_calories'] / 100)
    score += max(10 - added_sugars_pct * 10, 0)

    # 11. Saturated Fat (10 points, less is better)
    saturated_fat_pct = daily_data['saturated_fat_g'] / (daily_data['total_calories'] / 100)
    score += max(10 - saturated_fat_pct * 10, 0)

    return round(score, 1)