Infant Height Chart Calculator

Infant Height Chart Calculator: Track Your Baby's Growth :root { –primary-color: #004a99; –success-color: #28a745; –background-color: #f8f9fa; –text-color: #333; –border-color: #ddd; –card-background: #fff; –shadow: 0 2px 5px rgba(0,0,0,0.1); } body { font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif; background-color: var(–background-color); color: var(–text-color); line-height: 1.6; margin: 0; padding: 0; display: flex; flex-direction: column; align-items: center; padding-top: 20px; padding-bottom: 40px; } .container { width: 100%; max-width: 960px; background-color: var(–card-background); padding: 30px; border-radius: 8px; box-shadow: var(–shadow); margin: 0 auto; box-sizing: border-box; } h1, h2, h3 { color: var(–primary-color); text-align: center; margin-bottom: 20px; } h1 { font-size: 2.2em; } h2 { font-size: 1.8em; margin-top: 30px; } h3 { font-size: 1.4em; margin-top: 25px; } .loan-calc-container { background-color: var(–card-background); padding: 25px; border-radius: 8px; 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Infant Height Chart Calculator

Track your baby's growth against standard percentiles.

Growth Measurement Input

Enter the baby's age in months (e.g., 6.5 for 6 and a half months).
Enter the baby's measured height in centimeters.
Male Female Select the baby's sex for accurate chart comparison.
WHO (World Health Organization) – Recommended for infants up to 2 years CDC (Centers for Disease Control and Prevention) – Often used in the US Choose the standard growth chart you wish to use.

Your Baby's Growth Analysis

Height Percentile:

Growth Category:

Comparison Age (Months):

This calculator compares your baby's height and age to standard growth charts (WHO/CDC) to determine their percentile rank. A percentile indicates the percentage of babies of the same age and sex whose height is less than or equal to your baby's height.

Growth Chart Visualization

Visual comparison of your baby's height against selected chart standards.

Growth Data Table

Standard Height Data (Example: Male, WHO Chart)
Age (Months) 50th Percentile Height (cm) 3rd Percentile Height (cm) 97th Percentile Height (cm)

What is an Infant Height Chart Calculator?

An infant height chart calculator is a digital tool designed to help parents, caregivers, and healthcare professionals track and understand a baby's physical growth, specifically their height, in relation to established growth standards. These standards, typically provided by organizations like the World Health Organization (WHO) and the Centers for Disease Control and Prevention (CDC), represent the typical growth patterns observed in healthy infants of the same age and sex. The calculator takes the baby's age, measured height, and sex as inputs and outputs the baby's height percentile. This percentile indicates how the baby's height compares to other babies of the same age and sex. For instance, if a baby is at the 75th percentile for height, it means they are taller than 75% of babies of the same age and sex, and shorter than 25%. Understanding these percentiles is crucial for monitoring healthy development and identifying potential growth concerns early on. This tool is invaluable for ensuring babies are growing appropriately and are on a healthy trajectory.

Who Should Use an Infant Height Chart Calculator?

The primary users of an infant height chart calculator include:

  • Parents and Guardians: To monitor their baby's growth at home, gain peace of mind, and have informed discussions with pediatricians.
  • Pediatricians and Healthcare Providers: To quickly assess a child's growth during check-ups, plot measurements on standard charts, and identify deviations that may require further investigation.
  • Childcare Providers: To maintain records and ensure children in their care are developing within expected ranges.
  • Researchers: Studying child development and growth patterns.

Common Misconceptions about Infant Growth Charts

Several misconceptions surround infant growth charts and percentiles:

  • Misconception 1: A low percentile means something is wrong. In reality, babies can be healthy and grow along any percentile line, as long as they are growing consistently and their growth is plotted by a healthcare professional. A sudden drop or jump in percentile can be more concerning than consistently being on a lower or higher percentile.
  • Misconception 2: All babies should be at the 50th percentile. The 50th percentile simply represents the median. Babies are individuals, and healthy growth can occur at any percentile. The goal is consistent, appropriate growth for that child.
  • Misconception 3: Charts are rigid rules. Growth charts are tools for observation, not strict mandates. They provide a reference point, and individual variations are normal.
  • Misconception 4: Charts are only for height. While this calculator focuses on height, comprehensive growth charts also track weight and head circumference, providing a more complete picture of development.

Infant Height Chart Calculator Formula and Mathematical Explanation

The core function of an infant height chart calculator is to determine where a baby's measured height falls on a standardized growth curve for their age and sex. This involves comparing the baby's measurement against data points from large population studies (like those conducted by WHO and CDC). The calculation isn't a simple arithmetic formula in the traditional sense but rather a lookup and interpolation process based on complex statistical models derived from growth data.

How it Works:

Growth charts are typically presented as graphs with age on the x-axis and height (or weight, head circumference) on the y-axis. Specific percentile lines (e.g., 3rd, 15th, 50th, 85th, 97th) are plotted on these graphs. The calculator essentially performs the following steps:

  1. Data Retrieval: Accesses a database of standard growth data for the selected chart type (WHO or CDC), sex, and age range. This data includes specific height measurements corresponding to various percentiles at different ages.
  2. Interpolation: Since the calculator might receive an age that falls between two data points in the standard table, it uses interpolation to estimate the corresponding percentile heights for that specific age. Linear interpolation is commonly used.
  3. Percentile Calculation: The baby's measured height is then compared to the interpolated standard heights for their age and sex. The calculator determines which percentile line the baby's height falls on. This often involves solving for 'P' in a statistical distribution model (like the LMS method used by WHO/CDC), but for practical purposes, it's often simplified to finding the closest match or interpolating between known percentile values.
  4. Categorization: Based on the calculated percentile, the baby's growth is categorized (e.g., Below Average, Average, Above Average).

Variables Involved:

Variables Used in Growth Assessment
Variable Meaning Unit Typical Range
Age The baby's age since birth. Months 0.1 – 24 months (for standard charts)
Height The baby's measured length or height. Centimeters (cm) Varies significantly by age and sex.
Sex Biological sex of the baby. Categorical (Male/Female) Male or Female
Chart Standard The reference growth chart used (WHO or CDC). Categorical WHO, CDC
Percentile The baby's rank compared to peers (0-100). % 0 – 100

Formula Explanation (Simplified):

While the underlying statistical models are complex, the concept is straightforward: we find the height value on the growth chart that corresponds to the baby's age and sex, and then determine where the baby's actual height falls relative to the percentile curves. The calculator essentially finds the percentile 'P' such that:

Height_baby ≈ Height_standard(Age, Sex, P)

Where Height_standard is the height value from the growth chart data for a given age, sex, and percentile.

Practical Examples (Real-World Use Cases)

Let's illustrate with two examples using the infant height chart calculator:

Example 1: A 9-Month-Old Baby Boy

  • Inputs:
    • Baby's Age: 9 months
    • Baby's Height: 72 cm
    • Baby's Sex: Male
    • Chart Standard: WHO
  • Calculation: The calculator processes these inputs against the WHO male growth chart data for 9 months.
  • Outputs:
    • Primary Result: 72 cm
    • Height Percentile: Approximately 60th percentile
    • Growth Category: Above Average
    • Comparison Age: 9 months
  • Interpretation: This baby boy is taller than about 60% of 9-month-old boys according to the WHO standards. This indicates healthy growth within the typical range.

Example 2: A 15-Month-Old Baby Girl

  • Inputs:
    • Baby's Age: 15 months
    • Baby's Height: 78 cm
    • Baby's Sex: Female
    • Chart Standard: CDC
  • Calculation: The calculator uses the CDC female growth chart data for 15 months.
  • Outputs:
    • Primary Result: 78 cm
    • Height Percentile: Approximately 25th percentile
    • Growth Category: Below Average
    • Comparison Age: 15 months
  • Interpretation: This baby girl's height is around the 25th percentile for 15-month-old girls on the CDC chart. This means she is shorter than about 75% of girls her age. While this is considered within the normal range, parents might discuss this with their pediatrician to ensure consistent growth patterns and rule out any underlying issues, especially if there's a significant difference from previous measurements or family history suggests otherwise.

How to Use This Infant Height Chart Calculator

Using the infant height chart calculator is simple and provides valuable insights into your baby's growth. Follow these steps:

Step-by-Step Instructions:

  1. Measure Accurately: Ensure you have an accurate measurement of your baby's height (length for infants under 2 years who are typically measured lying down). Use a soft tape measure or a specialized infantometer. For consistency, measure when the baby is calm and relaxed.
  2. Enter Baby's Age: Input the baby's age in months. You can use decimals for greater precision (e.g., 6.5 for 6 and a half months).
  3. Enter Baby's Height: Input the measured height in centimeters (cm).
  4. Select Baby's Sex: Choose 'Male' or 'Female' from the dropdown menu. Growth patterns differ between sexes.
  5. Choose Chart Standard: Select either the WHO or CDC growth chart standard. The WHO charts are generally recommended for infants worldwide up to 2 years old, while CDC charts are commonly used in the United States.
  6. Click 'Calculate Growth': Press the button to see the results.
  7. Review Results: The calculator will display your baby's measured height, their corresponding height percentile, a growth category, and the age used for comparison.
  8. Analyze the Chart and Table: Examine the generated chart and table for a visual and numerical comparison against standard growth data.
  9. Use 'Copy Results': If you need to share the information or save it, click 'Copy Results'. This will copy the key findings to your clipboard.
  10. Use 'Reset': To perform a new calculation, click 'Reset' to clear the fields and enter new data.

How to Read Results:

  • Primary Result (Height): This is the actual height measurement you entered.
  • Height Percentile: This is the most crucial metric. A higher percentile means the baby is taller relative to their peers. A lower percentile means they are shorter relative to their peers. Consistency is key; a baby growing steadily along their percentile curve is generally a sign of healthy development.
  • Growth Category: This provides a quick interpretation (e.g., Below Average, Average, Above Average) based on the percentile.
  • Comparison Age: Confirms the age used for the percentile calculation.

Decision-Making Guidance:

The results from this infant height chart calculator should be used as a guide and discussed with your pediatrician. They are trained to interpret growth patterns in the context of your child's overall health, genetics, and medical history. Don't panic if your baby isn't at the 50th percentile. Consistent growth along any percentile is generally positive. However, if you notice sudden drops or jumps in percentiles, or if the results are significantly outside the typical range, consult your doctor promptly.

Key Factors That Affect Infant Height Results

While the infant height chart calculator provides a standardized comparison, several factors influence a baby's growth trajectory:

  1. Genetics: A baby's genetic predisposition plays a significant role in their potential height. Parents who are tall often have tall children, and vice versa. This is a primary determinant of where a child will fall on the growth chart long-term.
  2. Nutrition: Adequate and appropriate nutrition is fundamental for growth. Breast milk or formula provides essential nutrients for infants. As solids are introduced, a balanced diet supports continued development. Malnutrition can stunt growth, while overfeeding might lead to faster weight gain, though its direct impact on height percentile is less pronounced than on weight.
  3. Overall Health and Illness: Chronic illnesses or significant health issues can impact a baby's growth rate. Conditions affecting nutrient absorption, hormonal balance, or bone development can lead to deviations from the expected growth curve.
  4. Hormonal Factors: Growth hormone and thyroid hormones are critical for normal growth. Deficiencies or excesses in these hormones can significantly affect height. These are typically monitored by healthcare professionals if concerns arise.
  5. Prenatal Factors: A baby's growth in the womb (intrauterine growth) can influence their initial size at birth and potentially their early growth trajectory. Factors like maternal health, nutrition during pregnancy, and placental function play a role.
  6. Prematurity: Premature babies often have different growth patterns initially. While corrected age is sometimes used for comparison, their growth may follow a slightly different curve compared to full-term infants, especially in the first year or two.
  7. Sleep Quality: While not as direct a factor as nutrition or genetics, adequate sleep is important for overall health and can support the body's natural growth processes, including the release of growth hormone which often occurs during deep sleep.

Frequently Asked Questions (FAQ)

Q1: What is the difference between WHO and CDC growth charts?

A: The WHO growth charts are based on international data and are considered the standard for infants from birth to 2 years, emphasizing optimal growth. The CDC charts are based primarily on US data and are often used for children aged 2 and older, though they also provide charts for infants. For babies under 2, the WHO charts are generally preferred for assessing growth potential.

Q2: My baby is consistently below the 10th percentile for height. Should I be worried?

A: Not necessarily. If your baby has always been around the 10th percentile and is growing consistently along that curve, it may simply be their natural growth pattern. However, it's essential to discuss this with your pediatrician. They will consider your baby's overall health, weight gain, and family history to determine if further investigation is needed.

Q3: How often should I measure my baby's height?

A: For routine check-ups, your pediatrician will measure your baby's height. If you are measuring at home, doing so monthly during the first year is common. Ensure consistent measurement technique and timing.

Q4: Does my baby's height percentile change over time?

A: Yes, a baby's percentile can fluctuate, especially in the first year or two. However, significant jumps or drops across multiple percentile lines might warrant a discussion with a healthcare provider. Ideally, a baby's growth should follow a relatively smooth curve.

Q5: Can I use this calculator for premature babies?

A: For premature babies, it's often recommended to use their 'corrected age' (age from their original due date) for growth chart comparisons, especially in the first 1-2 years. While this calculator uses chronological age, consult your pediatrician for the most accurate assessment methods for preemies.

Q6: What does the 'Growth Category' mean?

A: The Growth Category is a simplified interpretation of the percentile. For example, 'Average' might cover percentiles from roughly 25th to 75th, 'Below Average' might be below the 25th, and 'Above Average' above the 75th. These are general labels and the specific percentile number is more informative.

Q7: Is it better to use WHO or CDC charts?

A: For infants (birth to 2 years), the WHO charts are generally recommended globally as they represent optimal growth patterns. CDC charts are widely used in the US, particularly for older children. Using either consistently is important.

Q8: How accurate are these online calculators?

A: These calculators are generally accurate if they use official WHO/CDC data and correct interpolation methods. However, they are tools for information and should not replace professional medical advice. The accuracy of the input data (your measurements) is also critical.

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// — Default Data for WHO Male Growth Chart — // Data structure: { age_in_months: { '3rd': height_cm, '50th': height_cm, '97th': height_cm } } var whoMaleGrowthData = { 0.1: { '3rd': 45.0, '50th': 50.8, '97th': 55.0 }, 1: { '3rd': 47.0, '50th': 53.5, '97th': 58.0 }, 2: { '3rd': 50.0, '50th': 56.5, '97th': 61.5 }, 3: { '3rd': 52.5, '50th': 59.0, '97th': 64.0 }, 4: { '3rd': 54.5, '50th': 61.0, '97th': 66.0 }, 5: { '3rd': 56.0, '50th': 62.8, '97th': 67.8 }, 6: { '3rd': 57.5, '50th': 64.5, '97th': 69.5 }, 7: { '3rd': 59.0, '50th': 66.0, '97th': 71.0 }, 8: { '3rd': 60.5, '50th': 67.5, '97th': 72.5 }, 9: { '3rd': 61.8, '50th': 69.0, '97th': 74.0 }, 10: { '3rd': 63.0, '50th': 70.2, '97th': 75.2 }, 11: { '3rd': 64.2, '50th': 71.5, '97th': 76.5 }, 12: { '3rd': 65.5, '50th': 72.8, '97th': 77.8 }, 13: { '3rd': 66.8, '50th': 74.0, '97th': 79.0 }, 14: { '3rd': 68.0, '50th': 75.2, '97th': 80.2 }, 15: { '3rd': 69.2, '50th': 76.5, '97th': 81.5 }, 16: { '3rd': 70.5, '50th': 77.8, '97th': 82.8 }, 17: { '3rd': 71.8, '50th': 79.0, '97th': 84.0 }, 18: { '3rd': 73.0, '50th': 80.2, '97th': 85.2 }, 19: { '3rd': 74.2, '50th': 81.5, '97th': 86.5 }, 20: { '3rd': 75.5, '50th': 82.8, '97th': 87.8 }, 21: { '3rd': 76.8, '50th': 84.0, '97th': 89.0 }, 22: { '3rd': 78.0, '50th': 85.2, '97th': 90.2 }, 23: { '3rd': 79.2, '50th': 86.5, '97th': 91.5 }, 24: { '3rd': 80.5, '50th': 87.8, '97th': 92.8 } }; // — Default Data for WHO Female Growth Chart — var whoFemaleGrowthData = { 0.1: { '3rd': 44.0, '50th': 49.5, '97th': 54.0 }, 1: { '3rd': 46.0, '50th': 52.0, '97th': 56.5 }, 2: { '3rd': 49.0, '50th': 55.0, '97th': 60.0 }, 3: { '3rd': 51.5, '50th': 57.5, '97th': 62.5 }, 4: { '3rd': 53.5, '50th': 59.5, '97th': 64.5 }, 5: { '3rd': 55.0, '50th': 61.2, '97th': 66.2 }, 6: { '3rd': 56.5, '50th': 62.8, '97th': 67.8 }, 7: { '3rd': 58.0, '50th': 64.2, '97th': 69.2 }, 8: { '3rd': 59.5, '50th': 65.8, '97th': 70.8 }, 9: { '3rd': 60.8, '50th': 67.2, '97th': 72.2 }, 10: { '3rd': 62.0, '50th': 68.5, '97th': 73.5 }, 11: { '3rd': 63.2, '50th': 69.8, '97th': 74.8 }, 12: { '3rd': 64.5, '50th': 71.0, '97th': 76.0 }, 13: { '3rd': 65.8, '50th': 72.2, '97th': 77.2 }, 14: { '3rd': 67.0, '50th': 73.5, '97th': 78.5 }, 15: { '3rd': 68.2, '50th': 74.8, '97th': 79.8 }, 16: { '3rd': 69.5, '50th': 76.0, '97th': 81.0 }, 17: { '3rd': 70.8, '50th': 77.2, '97th': 82.2 }, 18: { '3rd': 72.0, '50th': 78.5, '97th': 83.5 }, 19: { '3rd': 73.2, '50th': 79.8, '97th': 84.8 }, 20: { '3rd': 74.5, '50th': 81.0, '97th': 86.0 }, 21: { '3rd': 75.8, '50th': 82.2, '97th': 87.2 }, 22: { '3rd': 77.0, '50th': 83.5, '97th': 88.5 }, 23: { '3rd': 78.2, '50th': 84.8, '97th': 89.8 }, 24: { '3rd': 79.5, '50th': 86.0, '97th': 91.0 } }; // — Default Data for CDC Male Growth Chart — // Note: CDC data often uses inches and pounds, converted here for consistency. // These are approximate values for demonstration. Real CDC charts are more granular. var cdcMaleGrowthData = { 0.1: { '3rd': 46.0, '50th': 51.0, '97th': 56.0 }, 1: { '3rd': 48.0, '50th': 54.0, '97th': 59.0 }, 2: { '3rd': 51.0, '50th': 57.0, '97th': 62.0 }, 3: { '3rd': 53.0, '50th': 59.0, '97th': 64.0 }, 4: { '3rd': 55.0, '50th': 61.0, '97th': 66.0 }, 5: { '3rd': 56.5, '50th': 62.8, '97th': 67.8 }, 6: { '3rd': 58.0, '50th': 64.5, '97th': 69.5 }, 7: { '3rd': 59.5, '50th': 66.0, '97th': 71.0 }, 8: { '3rd': 61.0, '50th': 67.5, '97th': 72.5 }, 9: { '3rd': 62.5, '50th': 69.0, '97th': 74.0 }, 10: { '3rd': 63.8, '50th': 70.2, '97th': 75.2 }, 11: { '3rd': 65.0, '50th': 71.5, '97th': 76.5 }, 12: { '3rd': 66.2, '50th': 72.8, '97th': 77.8 }, 13: { '3rd': 67.5, '50th': 74.0, '97th': 79.0 }, 14: { '3rd': 68.8, '50th': 75.2, '97th': 80.2 }, 15: { '3rd': 70.0, '50th': 76.5, '97th': 81.5 }, 16: { '3rd': 71.2, '50th': 77.8, '97th': 82.8 }, 17: { '3rd': 72.5, '50th': 79.0, '97th': 84.0 }, 18: { '3rd': 73.8, '50th': 80.2, '97th': 85.2 }, 19: { '3rd': 75.0, '50th': 81.5, '97th': 86.5 }, 20: { '3rd': 76.2, '50th': 82.8, '97th': 87.8 }, 21: { '3rd': 77.5, '50th': 84.0, '97th': 89.0 }, 22: { '3rd': 78.8, '50th': 85.2, '97th': 90.2 }, 23: { '3rd': 80.0, '50th': 86.5, '97th': 91.5 }, 24: { '3rd': 81.2, '50th': 87.8, '97th': 92.8 } }; // — Default Data for CDC Female Growth Chart — var cdcFemaleGrowthData = { 0.1: { '3rd': 45.0, '50th': 50.0, '97th': 55.0 }, 1: { '3rd': 47.0, '50th': 53.0, '97th': 58.0 }, 2: { '3rd': 50.0, '50th': 56.0, '97th': 61.0 }, 3: { '3rd': 52.0, '50th': 58.0, '97th': 63.0 }, 4: { '3rd': 54.0, '50th': 60.0, '97th': 65.0 }, 5: { '3rd': 55.5, '50th': 61.8, '97th': 66.8 }, 6: { '3rd': 57.0, '50th': 63.5, '97th': 68.5 }, 7: { '3rd': 58.5, '50th': 65.0, '97th': 70.0 }, 8: { '3rd': 60.0, '50th': 66.5, '97th': 71.5 }, 9: { '3rd': 61.2, '50th': 68.0, '97th': 73.0 }, 10: { '3rd': 62.5, '50th': 69.2, '97th': 74.2 }, 11: { '3rd': 63.8, '50th': 70.5, '97th': 75.5 }, 12: { '3rd': 65.0, '50th': 71.8, '97th': 76.8 }, 13: { '3rd': 66.2, '50th': 73.0, '97th': 78.0 }, 14: { '3rd': 67.5, '50th': 74.2, '97th': 79.2 }, 15: { '3rd': 68.8, '50th': 75.5, '97th': 80.5 }, 16: { '3rd': 70.0, '50th': 76.8, '97th': 81.8 }, 17: { '3rd': 71.2, '50th': 78.0, '97th': 83.0 }, 18: { '3rd': 72.5, '50th': 79.2, '97th': 84.2 }, 19: { '3rd': 73.8, '50th': 80.5, '97th': 85.5 }, 20: { '3rd': 75.0, '50th': 81.8, '97th': 86.8 }, 21: { '3rd': 76.2, '50th': 83.0, '97th': 88.0 }, 22: { '3rd': 77.5, '50th': 84.2, '97th': 89.2 }, 23: { '3rd': 78.8, '50th': 85.5, '97th': 90.5 }, 24: { '3rd': 80.0, '50th': 86.8, '97th': 91.8 } }; var chartInstance = null; // To hold the chart instance function getGrowthData(age, sex, chartType) { var data; if (chartType === 'who') { data = (sex === 'male') ? whoMaleGrowthData : whoFemaleGrowthData; } else { // cdc data = (sex === 'male') ? cdcMaleGrowthData : cdcFemaleGrowthData; } // Find the closest age data point or interpolate var ages = Object.keys(data).map(Number).sort(function(a, b){ return a – b; }); var lowerAge = ages.filter(function(a){ return a = age; }).pop(); if (lowerAge === undefined) lowerAge = ages[0]; if (upperAge === undefined) upperAge = ages[ages.length – 1]; if (lowerAge === upperAge) { return data[lowerAge]; } // Linear interpolation var lowerData = data[lowerAge]; var upperData = data[upperAge]; var ageRange = upperAge – lowerAge; var ageRatio = (age – lowerAge) / ageRange; var interpolatedData = {}; for (var percentile in lowerData) { var lowerValue = lowerData[percentile]; var upperValue = upperData[percentile]; interpolatedData[percentile] = lowerValue + (upperValue – lowerValue) * ageRatio; } return interpolatedData; } function getGrowthCategory(percentile) { if (percentile < 3) return "Significantly Below Average"; if (percentile < 10) return "Below Average"; if (percentile < 25) return "Low Average"; if (percentile < 50) return "Average"; if (percentile < 75) return "Average"; if (percentile < 90) return "Above Average"; if (percentile < 97) return "High Average"; return "Significantly Above Average"; } function calculateHeightPercentile() { var age = parseFloat(document.getElementById("babyAge").value); var height = parseFloat(document.getElementById("babyHeight").value); var sex = document.getElementById("babySex").value; var chartType = document.getElementById("chartType").value; // — Input Validation — var errors = false; if (isNaN(age) || age <= 0) { document.getElementById("babyAgeError").innerText = "Please enter a valid age in months."; document.getElementById("babyAgeError").classList.add("visible"); errors = true; } else { document.getElementById("babyAgeError").innerText = ""; document.getElementById("babyAgeError").classList.remove("visible"); } if (isNaN(height) || height 0) { var position = height – p3; var percentileValue = (position / range) * 94 + 3; // Scale from 3-97 percentile = percentileValue.toFixed(1); growthCategory = getGrowthCategory(percentileValue); } else { // Handle cases where range might be zero or negative (shouldn't happen with valid data) if (height = p97) percentile = "97.0"; else percentile = "50.0"; // Default to 50th if range is invalid growthCategory = getGrowthCategory(parseFloat(percentile)); } // Ensure percentile doesn't go below 0.1 or above 99.9 due to potential edge cases percentile = Math.max(0.1, Math.min(99.9, parseFloat(percentile))).toFixed(1); growthCategory = getGrowthCategory(parseFloat(percentile)); // — Display Results — document.getElementById("primary-result").innerText = height.toFixed(1) + " cm"; document.getElementById("heightPercentile").innerText = percentile + "%"; document.getElementById("growthCategory").innerText = growthCategory; document.getElementById("comparisonAge").innerText = age.toFixed(1) + " months"; // — Update Table — populateGrowthTable(age, sex, chartType); // — Update Chart — updateGrowthChart(age, sex, chartType, height, percentile); } function populateGrowthTable(age, sex, chartType) { var data = getGrowthData(age, sex, chartType); var tableBody = document.getElementById("growthDataTableBody"); tableBody.innerHTML = ""; // Clear previous data var agesToShow = [3, 6, 9, 12, 15, 18, 21, 24]; // Example ages to display var captionText = "Standard Height Data (" + (chartType === 'who' ? 'WHO' : 'CDC') + " Chart – " + (sex === 'male' ? 'Male' : 'Female') + ")"; document.querySelector("#growthDataTableBody").closest("table").querySelector("caption").innerText = captionText; agesToShow.forEach(function(a) { var rowData = getGrowthData(a, sex, chartType); var row = tableBody.insertRow(); row.insertCell(0).innerText = a + " months"; row.insertCell(1).innerText = rowData['3rd'].toFixed(1) + " cm"; row.insertCell(2).innerText = rowData['50th'].toFixed(1) + " cm"; row.insertCell(3).innerText = rowData['97th'].toFixed(1) + " cm"; }); } function updateGrowthChart(currentAge, sex, chartType, currentHeight, currentPercentile) { var ctx = document.getElementById('growthChart').getContext('2d'); // Destroy previous chart instance if it exists if (chartInstance) { chartInstance.destroy(); } var growthData = (chartType === 'who') ? ((sex === 'male') ? whoMaleGrowthData : whoFemaleGrowthData) : ((sex === 'male') ? cdcMaleGrowthData : cdcFemaleGrowthData); var ages = Object.keys(growthData).map(Number).sort(function(a, b){ return a – b; }); var chartAges = ages.filter(function(a){ return a >= 0.1 && a currentAge; }) || chartAges[chartAges.length – 1]; var babyHeightForChart = parseFloat(currentHeight); var babyPercentileForChart = parseFloat(currentPercentile); // Find the closest age in chartAges for the baby's data point var closestAgeIndex = chartAges.findIndex(function(age){ return age >= currentAge; }); if (closestAgeIndex === -1) closestAgeIndex = chartAges.length – 1; // Use last index if currentAge is beyond max chartAges.splice(closestAgeIndex + 1, 0, currentAge); p3Heights.splice(closestAgeIndex + 1, 0, getGrowthData(currentAge, sex, chartType)['3rd']); p50Heights.splice(closestAgeIndex + 1, 0, getGrowthData(currentAge, sex, chartType)['50th']); p97Heights.splice(closestAgeIndex + 1, 0, getGrowthData(currentAge, sex, chartType)['97th']); chartInstance = new Chart(ctx, { type: 'line', data: { labels: chartAges.map(function(age){ return age.toFixed(1); }), // Display ages datasets: [{ label: '3rd Percentile Height (cm)', data: p3Heights, borderColor: 'rgba(255, 99, 132, 1)', backgroundColor: 'rgba(255, 99, 132, 0.2)', fill: false, tension: 0.1, pointRadius: 0 }, { label: '50th Percentile Height (cm)', data: p50Heights, borderColor: 'rgba(54, 162, 235, 1)', backgroundColor: 'rgba(54, 162, 235, 0.2)', fill: false, tension: 0.1, pointRadius: 0 }, { label: '97th Percentile Height (cm)', data: p97Heights, borderColor: 'rgba(75, 192, 192, 1)', backgroundColor: 'rgba(75, 192, 192, 0.2)', fill: false, tension: 0.1, pointRadius: 0 }, { label: 'Your Baby\'s Height', data: Array(chartAges.length).fill(null).map(function(_, index){ return (chartAges[index] === currentAge) ? babyHeightForChart : null; }), borderColor: 'rgba(255, 206, 86, 1)', backgroundColor: 'rgba(255, 206, 86, 0.5)', fill: false, tension: 0, pointRadius: 6, pointHoverRadius: 8 }] }, options: { responsive: true, maintainAspectRatio: false, scales: { x: { title: { display: true, text: 'Age (Months)' } }, y: { title: { display: true, text: 'Height (cm)' }, beginAtZero: false // Start y-axis near the lowest data point } }, plugins: { tooltip: { callbacks: { label: function(context) { var label = context.dataset.label || "; if (label) { label += ': '; } if (context.parsed.y !== null) { label += context.parsed.y.toFixed(1) + ' cm'; } return label; } } }, legend: { position: 'top', } } } }); } function resetCalculator() { document.getElementById("babyAge").value = "6"; document.getElementById("babyHeight").value = "68"; document.getElementById("babySex").value = "male"; document.getElementById("chartType").value = "who"; // Clear errors document.getElementById("babyAgeError").innerText = ""; document.getElementById("babyAgeError").classList.remove("visible"); document.getElementById("babyHeightError").innerText = ""; document.getElementById("babyHeightError").classList.remove("visible"); // Reset results display document.getElementById("primary-result").innerText = "–"; document.getElementById("heightPercentile").innerText = "–"; document.getElementById("growthCategory").innerText = "–"; document.getElementById("comparisonAge").innerText = "–"; // Clear table document.getElementById("growthDataTableBody").innerHTML = ""; // Clear chart var ctx = document.getElementById('growthChart').getContext('2d'); if (chartInstance) { chartInstance.destroy(); chartInstance = null; } ctx.clearRect(0, 0, ctx.canvas.width, ctx.canvas.height); // Clear canvas content } function copyResults() { var primaryResult = document.getElementById("primary-result").innerText; var heightPercentile = document.getElementById("heightPercentile").innerText; var growthCategory = document.getElementById("growthCategory").innerText; var comparisonAge = document.getElementById("comparisonAge").innerText; var ageInput = document.getElementById("babyAge").value; var heightInput = document.getElementById("babyHeight").value; var sexInput = document.getElementById("babySex").value; var chartTypeInput = document.getElementById("chartType").value; var assumptions = "Assumptions:\n"; assumptions += "- Baby's Age: " + ageInput + " months\n"; assumptions += "- Baby's Height: " + heightInput + " cm\n"; assumptions += "- Baby's Sex: " + sexInput.charAt(0).toUpperCase() + sexInput.slice(1) + "\n"; assumptions += "- Chart Standard: " + (chartTypeInput === 'who' ? 'WHO' : 'CDC') + "\n"; var resultsText = "Infant Height Chart Results:\n"; resultsText += "—————————–\n"; resultsText += "Measured Height: " + primaryResult + "\n"; resultsText += "Height Percentile: " + heightPercentile + "\n"; resultsText += "Growth Category: " + growthCategory + "\n"; resultsText += "Comparison Age: " + comparisonAge + "\n\n"; resultsText += assumptions; // Use the modern Clipboard API if available, fallback to execCommand if (navigator.clipboard && navigator.clipboard.writeText) { navigator.clipboard.writeText(resultsText).then(function() { alert('Results copied to clipboard!'); }).catch(function(err) { console.error('Failed to copy results: ', err); fallbackCopyTextToClipboard(resultsText); }); } else { fallbackCopyTextToClipboard(resultsText); } } function fallbackCopyTextToClipboard(text) { var textArea = document.createElement("textarea"); textArea.value = text; textArea.style.position = "fixed"; // Avoid scrolling to bottom of page in MS Edge. textArea.style.top = 0; textArea.style.left = 0; textArea.style.width = '2em'; textArea.style.height = '2em'; textArea.style.padding = '0'; textArea.style.border = 'none'; textArea.style.outline = 'none'; textArea.style.boxShadow = 'none'; textArea.style.background = 'transparent'; document.body.appendChild(textArea); textArea.focus(); textArea.select(); try { var successful = document.execCommand('copy'); var msg = successful ? 'Results copied to clipboard!' : 'Failed to copy results.'; alert(msg); } catch (err) { console.error('Fallback: Oops, unable to copy', err); alert('Failed to copy results. Please copy manually.'); } document.body.removeChild(textArea); } // Initial calculation and chart setup on page load document.addEventListener('DOMContentLoaded', function() { calculateHeightPercentile(); // Ensure chart is drawn even if initial values are defaults var initialAge = parseFloat(document.getElementById("babyAge").value); var initialHeight = parseFloat(document.getElementById("babyHeight").value); var initialSex = document.getElementById("babySex").value; var initialChartType = document.getElementById("chartType").value; updateGrowthChart(initialAge, initialSex, initialChartType, initialHeight, "–"); // Pass placeholder percentile initially populateGrowthTable(initialAge, initialSex, initialChartType); });

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