Baby Height and Weight Calculator

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Baby Height and Weight Calculator

Understand your baby's growth milestones with our easy-to-use Baby Height and Weight Calculator. Input your baby's age, height, and weight to see how they compare to standard growth charts and get insights into their development.

Growth Tracker

Enter the baby's age in completed months.
Enter the baby's length in centimeters.
Enter the baby's weight in kilograms.
Male Female Select the baby's sex for more accurate comparisons.

Your Baby's Growth Snapshot

Growth percentiles and Z-scores are statistical measures comparing your baby to others of the same age and sex. A higher percentile means your baby is larger than a greater percentage of babies. Z-scores provide a standardized measure of deviation from the mean.

Growth Chart Visualization

WHO/CDC 50th Percentile (Height) WHO/CDC 50th Percentile (Weight)
Your Baby's Height Your Baby's Weight

WHO/CDC Growth Standards (Approximate)

Age (Months) Height (cm) – 50th Percentile Weight (kg) – 50th Percentile

What is a Baby Height and Weight Calculator?

A {primary_keyword} is a specialized online tool designed to help parents, caregivers, and healthcare professionals assess a baby's physical development. It allows users to input key measurements such as the baby's age, height, and weight, and then compares these figures against established growth charts and standards, most commonly those provided by the World Health Organization (WHO) and the Centers for Disease Control and Prevention (CDC). The primary goal of this {primary_keyword} is to provide a quick, accessible way to gauge whether a baby's growth is within the expected range for their age and sex, offering insights into their overall health and development trajectory. This tool is invaluable for monitoring growth patterns over time and identifying potential concerns early on.

Who Should Use a Baby Height and Weight Calculator?

The {primary_keyword} is a versatile tool beneficial for several groups:

  • Parents and Guardians: To monitor their baby's growth at home between pediatrician visits, gain peace of mind, or identify areas to discuss with their doctor.
  • Pediatricians and Healthcare Providers: As a quick reference tool during check-ups to plot measurements and discuss growth with parents.
  • Childcare Providers: To maintain records and ensure children in their care are developing appropriately.
  • Researchers: For collecting and analyzing growth data in studies related to child development and health.

Common Misconceptions about Baby Growth

Several myths surround baby growth. One common misconception is that a baby must be exactly on the 50th percentile line to be considered "normal." In reality, a wide range of growth patterns is healthy. Another myth is that a baby's growth is linear; babies often experience growth spurts followed by periods of slower growth. Finally, some believe that a single measurement is definitive, whereas tracking growth over time provides a much clearer picture of a baby's health. This {primary_keyword} helps demystify these by providing context based on established standards.

Baby Height and Weight Calculator Formula and Mathematical Explanation

The core of the {primary_keyword} relies on comparing a baby's measurements (height, weight) at a specific age and sex against standardized growth charts. These charts are typically derived from large-scale population studies, like those conducted by the WHO and CDC. The calculator doesn't perform a complex single formula but rather uses lookup tables and statistical methods to determine percentiles and Z-scores.

Percentile Calculation

A percentile indicates the percentage of babies in the reference population that are shorter/lighter than the baby being measured. For example, 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.

Z-Score Calculation

Z-scores offer a more precise statistical measure. A Z-score represents how many standard deviations a baby's measurement is away from the mean (average) measurement for their age and sex. The formula for a Z-score is:

Z = (X – μ) / σ

Where:

  • Z is the Z-score
  • X is the baby's measurement (height or weight)
  • μ (mu) is the mean (average) measurement for that age and sex
  • σ (sigma) is the standard deviation for that age and sex

The calculator uses pre-computed tables of mean (μ) and standard deviation (σ) values for various ages and sexes, based on WHO/CDC data. It then interpolates these values for the specific age entered and calculates the Z-score. Percentiles are then derived from these Z-scores using standard statistical distributions.

Variables Table

Variable Meaning Unit Typical Range (for context)
Age Baby's age in completed months Months 0 – 60 months (0-5 years)
Height (XH) Baby's measured height/length cm 0 – 100+ cm
Weight (XW) Baby's measured weight kg 0 – 25+ kg
Sex Baby's biological sex Categorical (Male/Female) Male, Female
μH / μW Mean height/weight for age and sex cm / kg Varies significantly by age
σH / σW Standard deviation of height/weight for age and sex cm / kg Varies significantly by age
Z-Score Standardized deviation from the mean Unitless Typically -3 to +3
Percentile Percentage of babies smaller/shorter % 0 – 100%

Practical Examples (Real-World Use Cases)

Let's explore how the {primary_keyword} can be used with practical examples.

Example 1: Monitoring a 9-Month-Old Baby

Scenario: Sarah is concerned because her 9-month-old son, Leo, seems smaller than other babies his age. She decides to use the {primary_keyword}.

Inputs:

  • Age: 9 months
  • Height: 70 cm
  • Weight: 8.2 kg
  • Sex: Male

Calculator Output:

  • Main Result: Height: 70 cm, Weight: 8.2 kg
  • Percentile: Height: ~40th percentile, Weight: ~55th percentile
  • Z-Score: Height: ~ -0.25, Weight: ~ +0.13
  • Growth Category: Healthy Growth

Interpretation: The calculator shows that Leo's height is around the 40th percentile, meaning he is taller than 40% of 9-month-old boys. His weight is around the 55th percentile, meaning he weighs more than 55% of boys his age. Both measurements are well within the healthy range, and importantly, his height and weight percentiles are relatively close, indicating consistent growth. Sarah can feel reassured that Leo is growing well, even if he isn't the largest baby.

Example 2: Checking a 15-Month-Old Baby's Weight Gain

Scenario: Mark and Emily's daughter, Chloe, is 15 months old. They notice she's very active and eats less frequently than before. They want to check her weight using the {primary_keyword}.

Inputs:

  • Age: 15 months
  • Height: 78 cm
  • Weight: 9.5 kg
  • Sex: Female

Calculator Output:

  • Main Result: Height: 78 cm, Weight: 9.5 kg
  • Percentile: Height: ~25th percentile, Weight: ~15th percentile
  • Z-Score: Height: ~ -0.67, Weight: ~ -1.04
  • Growth Category: Monitor Growth

Interpretation: Chloe's height is around the 25th percentile, and her weight is around the 15th percentile. While both are within the acceptable range, the calculator flags her growth for monitoring. The significant drop in weight percentile compared to height percentile (from ~25th to ~15th) might suggest a need to ensure she's getting adequate nutrition, especially given her increased activity. This information prompts Mark and Emily to schedule a check-up with their pediatrician to discuss Chloe's eating habits and growth pattern.

How to Use This Baby Height and Weight Calculator

Using the {primary_keyword} is straightforward. Follow these simple steps:

  1. Gather Measurements: Ensure you have your baby's most recent and accurate measurements for age (in months), height (in centimeters), and weight (in kilograms).
  2. Input Data: Enter the baby's age in months into the "Baby's Age (Months)" field. Then, input the height in centimeters into the "Baby's Height (cm)" field and the weight in kilograms into the "Baby's Weight (kg)" field.
  3. Select Sex: Choose the correct sex (Male or Female) from the dropdown menu. This is crucial as growth standards differ between sexes.
  4. Calculate: Click the "Calculate Growth" button.

How to Read Results

After clicking "Calculate Growth," you will see:

  • Main Result: Displays the height and weight you entered.
  • Percentile: Shows the percentile for both height and weight. This indicates how your baby compares to 100 babies of the same age and sex. A higher percentile means your baby is larger than a larger proportion of peers.
  • Z-Score: Provides a standardized score indicating how many standard deviations your baby's measurement is from the average.
  • Growth Category: A general assessment (e.g., Healthy Growth, Monitor Growth) based on the percentile and Z-score values and their consistency.
  • Growth Chart: A visual representation comparing your baby's measurements against the 50th percentile lines for height and weight.
  • Growth Standards Table: A table showing approximate 50th percentile values for height and weight across different ages.

Decision-Making Guidance

The results from the {primary_keyword} are a guide, not a diagnosis. Use them to:

  • Track Trends: Monitor how your baby's percentiles change over time. Consistent growth along a similar percentile curve is often more important than the specific percentile number.
  • Identify Potential Issues: A significant drop or rise in percentile, or measurements consistently falling below the 3rd or above the 97th percentile, warrants a discussion with your pediatrician.
  • Prepare for Doctor Visits: Bring the results and your observations to your pediatrician to have an informed conversation about your baby's health and development.

Remember, every baby is unique. This tool, combined with professional medical advice, helps ensure your baby is thriving.

Key Factors That Affect Baby Height and Weight Results

While the {primary_keyword} provides a comparison against standard charts, several factors influence a baby's individual growth trajectory:

  1. Genetics: A baby's genetic makeup plays a significant role. If parents are tall, their child is more likely to be tall, and vice versa. Similarly, genetic predispositions can affect weight gain patterns.
  2. Nutrition: Adequate intake of breast milk or formula is crucial, especially in the first year. The quality and quantity of nutrients directly impact growth. Introduction of solids and their nutritional value also become important later. Poor nutrition can lead to slower growth (failure to thrive), while overfeeding can contribute to excessive weight gain.
  3. Prenatal Factors: Maternal health during pregnancy, including nutrition, exposure to toxins, and conditions like gestational diabetes, can affect a baby's size at birth and subsequent growth.
  4. Health Conditions: Underlying medical issues, such as chronic illnesses, hormonal imbalances (e.g., thyroid issues), or digestive problems (affecting nutrient absorption), can significantly impact a baby's height and weight.
  5. Sleep Quality and Quantity: Growth hormone is primarily released during deep sleep. Insufficient or poor-quality sleep can potentially affect growth rates, although this is often a minor factor compared to nutrition and genetics.
  6. Physical Activity: While not directly impacting height, a baby's activity level influences muscle development and calorie expenditure, which can affect weight gain and body composition. Very active babies might gain weight differently than less active ones.
  7. Prematurity: Babies born prematurely often have different growth trajectories initially. Growth charts for premature infants use corrected age (age from due date) until they reach a certain developmental stage, after which standard charts are often used.
  8. Environmental Factors: While less impactful than biological factors, factors like exposure to illness or stress can indirectly influence a baby's overall well-being and growth.

Frequently Asked Questions (FAQ)

What is the difference between height and weight percentiles?

Height percentile tells you how your baby's length compares to other babies of the same age and sex. Weight percentile compares their weight. It's important that both are generally tracking along similar paths. A large gap might indicate an issue with nutrition or underlying health.

My baby is consistently above the 90th percentile. Is this a problem?

Not necessarily. If your baby has consistently been in a higher percentile range since birth and is otherwise healthy and meeting milestones, it's likely their natural growth pattern. However, it's always best to discuss this with your pediatrician to rule out any potential issues related to excessive weight gain or other concerns.

My baby is below the 10th percentile. Should I be worried?

Similar to high percentiles, if your baby has consistently been in a lower percentile range and is meeting developmental milestones, it might just be their natural growth pattern. However, a significant drop in percentile or measurements consistently below the 3rd percentile warrants a discussion with your pediatrician to ensure adequate nutrition and rule out any underlying health issues.

How often should I use the baby height and weight calculator?

You can use the calculator whenever you have new measurements for your baby. Many parents use it after each well-baby check-up or periodically at home to track progress between visits. Consistent tracking over time is more informative than isolated measurements.

Does the calculator account for premature babies?

This specific calculator uses standard WHO/CDC charts which are generally for full-term babies. For premature babies, it's recommended to use growth charts specifically designed for preterm infants, often using a "corrected age" (age from the original due date). Consult your pediatrician for the most accurate assessment of a premature baby's growth.

What is the difference between WHO and CDC growth charts?

The WHO growth charts are generally used for infants and children from birth up to 2 years old, based on international data. The CDC growth charts are often used for children aged 2 and older in the United States, though they also provide charts for younger children that are very similar to the WHO charts. For babies under 2, the WHO charts are widely accepted globally.

Can this calculator predict my baby's adult height?

No, this calculator is designed to assess current growth against standards for infants and young children. Predicting adult height involves different formulas (like the mid-parental height method) and is less accurate during infancy. This tool focuses on current developmental milestones.

What if my baby's measurements are exactly on the 50th percentile?

Being on the 50th percentile means your baby is exactly average for their age and sex – taller/heavier than 50% of babies and shorter/lighter than 50%. This is considered a very healthy and typical growth point.

Related Tools and Internal Resources

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// Approximate WHO/CDC growth data for males (simplified for demonstration) // Data structure: { age_in_months: { height_mean, height_sd, weight_mean, weight_sd } } var growthData = { 0: { h_m: 49.9, h_sd: 1.9, w_m: 3.3, w_sd: 0.4 }, 1: { h_m: 54.7, h_sd: 2.0, w_m: 4.1, w_sd: 0.5 }, 2: { h_m: 58.9, h_sd: 2.1, w_m: 4.9, w_sd: 0.6 }, 3: { h_m: 62.5, h_sd: 2.2, w_m: 5.6, w_sd: 0.7 }, 4: { h_m: 65.7, h_sd: 2.3, w_m: 6.2, w_sd: 0.7 }, 5: { h_m: 68.3, h_sd: 2.4, w_m: 6.7, w_sd: 0.8 }, 6: { h_m: 70.6, h_sd: 2.4, w_m: 7.1, w_sd: 0.8 }, 7: { h_m: 72.7, h_sd: 2.5, w_m: 7.5, w_sd: 0.8 }, 8: { h_m: 74.6, h_sd: 2.5, w_m: 7.9, w_sd: 0.9 }, 9: { h_m: 76.3, h_sd: 2.6, w_m: 8.2, w_sd: 0.9 }, 10: { h_m: 77.9, h_sd: 2.6, w_m: 8.5, w_sd: 0.9 }, 11: { h_m: 79.4, h_sd: 2.7, w_m: 8.8, w_sd: 1.0 }, 12: { h_m: 80.8, h_sd: 2.7, w_m: 9.0, w_sd: 1.0 }, 13: { h_m: 82.2, h_sd: 2.8, w_m: 9.3, w_sd: 1.0 }, 14: { h_m: 83.5, h_sd: 2.8, w_m: 9.5, w_sd: 1.1 }, 15: { h_m: 84.8, h_sd: 2.9, w_m: 9.7, w_sd: 1.1 }, 16: { h_m: 86.0, h_sd: 2.9, w_m: 9.9, w_sd: 1.1 }, 17: { h_m: 87.2, h_sd: 3.0, w_m: 10.1, w_sd: 1.2 }, 18: { h_m: 88.3, h_sd: 3.0, w_m: 10.3, w_sd: 1.2 }, 19: { h_m: 89.4, h_sd: 3.1, w_m: 10.5, w_sd: 1.2 }, 20: { h_m: 90.4, h_sd: 3.1, w_m: 10.7, w_sd: 1.3 }, 21: { h_m: 91.4, h_sd: 3.2, w_m: 10.9, w_sd: 1.3 }, 22: { h_m: 92.3, h_sd: 3.2, w_m: 11.1, w_sd: 1.3 }, 23: { h_m: 93.2, h_sd: 3.3, w_m: 11.3, w_sd: 1.4 }, 24: { h_m: 94.1, h_sd: 3.3, w_m: 11.4, w_sd: 1.4 } }; // Approximate WHO/CDC growth data for females (simplified for demonstration) var growthDataFemale = { 0: { h_m: 49.1, h_sd: 1.8, w_m: 3.1, w_sd: 0.4 }, 1: { h_m: 53.8, h_sd: 1.9, w_m: 3.8, w_sd: 0.5 }, 2: { h_m: 57.9, h_sd: 2.0, w_m: 4.6, w_sd: 0.6 }, 3: { h_m: 61.5, h_sd: 2.1, w_m: 5.3, w_sd: 0.6 }, 4: { h_m: 64.7, h_sd: 2.2, w_m: 5.9, w_sd: 0.7 }, 5: { h_m: 67.3, h_sd: 2.3, w_m: 6.4, w_sd: 0.7 }, 6: { h_m: 69.7, h_sd: 2.3, w_m: 6.8, w_sd: 0.8 }, 7: { h_m: 71.8, h_sd: 2.4, w_m: 7.2, w_sd: 0.8 }, 8: { h_m: 73.7, h_sd: 2.4, w_m: 7.6, w_sd: 0.8 }, 9: { h_m: 75.4, h_sd: 2.5, w_m: 7.9, w_sd: 0.9 }, 10: { h_m: 77.0, h_sd: 2.5, w_m: 8.2, w_sd: 0.9 }, 11: { h_m: 78.5, h_sd: 2.6, w_m: 8.4, w_sd: 0.9 }, 12: { h_m: 79.9, h_sd: 2.6, w_m: 8.7, w_sd: 1.0 }, 13: { h_m: 81.3, h_sd: 2.7, w_m: 8.9, w_sd: 1.0 }, 14: { h_m: 82.6, h_sd: 2.7, w_m: 9.1, w_sd: 1.0 }, 15: { h_m: 83.8, h_sd: 2.8, w_m: 9.3, w_sd: 1.1 }, 16: { h_m: 85.0, h_sd: 2.8, w_m: 9.5, w_sd: 1.1 }, 17: { h_m: 86.1, h_sd: 2.9, w_m: 9.7, w_sd: 1.1 }, 18: { h_m: 87.2, h_sd: 2.9, w_m: 9.8, w_sd: 1.2 }, 19: { h_m: 88.2, h_sd: 3.0, w_m: 10.0, w_sd: 1.2 }, 20: { h_m: 89.2, h_sd: 3.0, w_m: 10.2, w_sd: 1.2 }, 21: { h_m: 90.1, h_sd: 3.1, w_m: 10.3, w_sd: 1.3 }, 22: { h_m: 91.0, h_sd: 3.1, w_m: 10.5, w_sd: 1.3 }, 23: { h_m: 91.9, h_sd: 3.2, w_m: 10.6, w_sd: 1.3 }, 24: { h_m: 92.7, h_sd: 3.2, w_m: 10.8, w_sd: 1.4 } }; var chart = null; var chartContext = null; function getGrowthData(age, sex) { var data = (sex === 'male') ? growthData : growthDataFemale; var ageInt = parseInt(age); // Find the closest available age data var availableAges = Object.keys(data).map(Number).sort(function(a, b) { return a – b; }); var closestAge = availableAges[0]; for (var i = 0; i = availableAges[i]) { closestAge = availableAges[i]; } else { break; } } return data[closestAge]; } function calculatePercentile(measurement, mean, sd) { if (sd === 0) return 50; // Avoid division by zero var z = (measurement – mean) / sd; // Approximation using a standard normal distribution CDF (simplified) // A more accurate method would use a lookup table or statistical function // This is a rough approximation for demonstration var percentile = 100 * (1 / (1 + Math.exp(-0.7 * z))); // Logistic function approximation return Math.max(0, Math.min(100, percentile)); // Clamp between 0 and 100 } function getGrowthCategory(heightPercentile, weightPercentile, heightZ, weightZ) { var heightOk = heightPercentile >= 3 && heightPercentile = 3 && weightPercentile <= 97; var consistentGrowth = Math.abs(heightPercentile – weightPercentile) <= 20; // Arbitrary threshold for consistency if (heightOk && weightOk && consistentGrowth) { return "Healthy Growth"; } else if (heightOk && weightOk && !consistentGrowth) { return "Monitor Growth (Inconsistent)"; } else { return "Monitor Growth (Outside Range)"; } } function calculateGrowth() { var age = parseFloat(document.getElementById("babyAge").value); var height = parseFloat(document.getElementById("babyHeight").value); var weight = parseFloat(document.getElementById("babyWeight").value); var sex = document.getElementById("babySex").value; 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) { document.getElementById("babyHeightError").innerText = "Please enter a valid height in cm."; document.getElementById("babyHeightError").classList.add("visible"); errors = true; } else { document.getElementById("babyHeightError").innerText = ""; document.getElementById("babyHeightError").classList.remove("visible"); } if (isNaN(weight) || weight <= 0) { document.getElementById("babyWeightError").innerText = "Please enter a valid weight in kg."; document.getElementById("babyWeightError").classList.add("visible"); errors = true; } else { document.getElementById("babyWeightError").innerText = ""; document.getElementById("babyWeightError").classList.remove("visible"); } if (errors) { document.getElementById("results").style.display = "none"; document.getElementById("chartSection").style.display = "none"; return; } var growthStats = getGrowthData(age, sex); if (!growthStats) { document.getElementById("results").style.display = "none"; document.getElementById("chartSection").style.display = "none"; // Optionally show a message that data is not available for this age return; } var heightMean = growthStats.h_m; var heightSd = growthStats.h_sd; var weightMean = growthStats.w_m; var weightSd = growthStats.w_sd; // Calculate Z-scores var heightZ = (height – heightMean) / heightSd; var weightZ = (weight – weightMean) / weightSd; // Calculate Percentiles (using a simplified approximation) var heightPercentile = calculatePercentile(height, heightMean, heightSd); var weightPercentile = calculatePercentile(weight, weightMean, weightSd); var category = getGrowthCategory(heightPercentile, weightPercentile, heightZ, weightZ); document.getElementById("mainResult").innerText = height.toFixed(1) + " cm / " + weight.toFixed(1) + " kg"; document.getElementById("percentileResult").innerText = "Height: ~" + heightPercentile.toFixed(0) + "th Percentile | Weight: ~" + weightPercentile.toFixed(0) + "th Percentile"; document.getElementById("zscoreResult").innerText = "Height Z-Score: " + heightZ.toFixed(2) + " | Weight Z-Score: " + weightZ.toFixed(2); document.getElementById("growthCategory").innerText = "Growth Category: " + category; document.getElementById("results").style.display = "block"; document.getElementById("chartSection").style.display = "block"; updateChart(age, height, weight, sex); populateGrowthTable(); } function populateGrowthTable() { var tableBody = document.getElementById("growthTableBody"); tableBody.innerHTML = ''; // Clear existing rows var maxAge = 24; // Display up to 24 months for simplicity for (var age = 0; age <= maxAge; age++) { var growthStats = getGrowthData(age, 'male'); // Use male data for table reference if (growthStats) { var row = tableBody.insertRow(); var cellAge = row.insertCell(0); var cellHeight = row.insertCell(1); var cellWeight = row.insertCell(2); cellAge.innerText = age === 0 ? "Birth" : age + " mo"; cellHeight.innerText = growthStats.h_m.toFixed(1) + " cm"; cellWeight.innerText = growthStats.w_m.toFixed(1) + " kg"; } } } function updateChart(currentAge, currentHeight, currentWeight, sex) { var chartData = { labels: [], datasets: [ { label: '50th Percentile Height (cm)', data: [], borderColor: 'rgba(0, 74, 153, 1)', // Primary color backgroundColor: 'rgba(0, 74, 153, 0.2)', fill: false, tension: 0.1, pointRadius: 0 }, { label: '50th Percentile Weight (kg)', data: [], borderColor: 'rgba(40, 167, 69, 1)', // Success color backgroundColor: 'rgba(40, 167, 69, 0.2)', fill: false, tension: 0.1, pointRadius: 0 } ] }; var maxChartAge = 24; // Display up to 24 months on chart var ageStep = 1; // Show every month for (var age = 0; age <= maxChartAge; age += ageStep) { chartData.labels.push(age === 0 ? "Birth" : age + " mo"); var growthStats = getGrowthData(age, sex); if (growthStats) { chartData.datasets[0].data.push(growthStats.h_m); chartData.datasets[1].data.push(growthStats.w_m); } else { chartData.datasets[0].data.push(null); // Placeholder if data is missing chartData.datasets[1].data.push(null); } } // Add current baby's data points chartData.datasets.push({ label: 'Your Baby\'s Height (cm)', data: Array(chartData.labels.length).fill(null).map(function(_, i) { var labelAge = parseInt(chartData.labels[i].replace(' mo', '')); if (labelAge === currentAge) return currentHeight; return null; }), borderColor: 'rgba(0, 74, 153, 1)', backgroundColor: 'rgba(0, 74, 153, 1)', fill: false, tension: 0, pointRadius: 6, pointHoverRadius: 8 }); chartData.datasets.push({ label: 'Your Baby\'s Weight (kg)', data: Array(chartData.labels.length).fill(null).map(function(_, i) { var labelAge = parseInt(chartData.labels[i].replace(' mo', '')); if (labelAge === currentAge) return currentWeight; return null; }), borderColor: 'rgba(40, 167, 69, 1)', backgroundColor: 'rgba(40, 167, 69, 1)', fill: false, tension: 0, pointRadius: 6, pointHoverRadius: 8 }); if (!chartContext) { var canvas = document.getElementById('growthChart'); chartContext = canvas.getContext('2d'); } if (chart) { chart.destroy(); // Destroy previous chart instance } chart = new Chart(chartContext, { type: 'line', data: chartData, options: { responsive: true, maintainAspectRatio: false, scales: { x: { title: { display: true, text: 'Age (Months)' } }, y: { title: { display: true, text: 'Measurement' }, beginAtZero: false // Adjust based on data range } }, plugins: { legend: { display: false // Legend is handled by custom div }, tooltip: { callbacks: { label: function(context) { var label = context.dataset.label || ''; if (label) { label += ': '; } if (context.parsed.y !== null) { label += context.parsed.y.toFixed(1) + (context.dataset.label.includes('Height') ? ' cm' : ' kg'); } return label; } } } } } }); } function resetCalculator() { document.getElementById("babyAge").value = ""; document.getElementById("babyHeight").value = ""; document.getElementById("babyWeight").value = ""; document.getElementById("babySex").value = "male"; document.getElementById("results").style.display = "none"; document.getElementById("chartSection").style.display = "none"; document.getElementById("babyAgeError").innerText = ""; document.getElementById("babyAgeError").classList.remove("visible"); document.getElementById("babyHeightError").innerText = ""; document.getElementById("babyHeightError").classList.remove("visible"); document.getElementById("babyWeightError").innerText = ""; document.getElementById("babyWeightError").classList.remove("visible"); if (chart) { chart.destroy(); chart = null; chartContext = null; } } function copyResults() { var mainResult = document.getElementById("mainResult").innerText; var percentileResult = document.getElementById("percentileResult").innerText; var zscoreResult = document.getElementById("zscoreResult").innerText; var growthCategory = document.getElementById("growthCategory").innerText; var assumptions = "Key Assumptions:\n"; assumptions += "- Growth data based on WHO/CDC standards.\n"; assumptions += "- Calculations are approximations.\n"; assumptions += "- Consult a pediatrician for medical advice."; var textToCopy = "Baby Growth Results:\n" + mainResult + "\n" + percentileResult + "\n" + zscoreResult + "\n" + growthCategory + "\n\n" + assumptions; navigator.clipboard.writeText(textToCopy).then(function() { // Optionally provide feedback to the user var copyButton = document.querySelector('button.success'); var originalText = copyButton.innerText; copyButton.innerText = 'Copied!'; setTimeout(function() { copyButton.innerText = originalText; }, 2000); }).catch(function(err) { console.error('Failed to copy text: ', err); // Handle error, maybe show a message to the user }); } function toggleFaq(element) { var parent = element.parentElement; parent.classList.toggle('active'); } // Initial population of the table and chart setup document.addEventListener('DOMContentLoaded', function() { populateGrowthTable(); // Optionally draw an initial empty chart or a default state // updateChart(0, 50, 3, 'male'); // Example initial state });

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