Baby Height Weight Percentage Calculator & Growth Chart
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Growth Percentile Calculator
Your Baby's Growth Results
–%
How it works: This calculator compares your baby's measurements (age, weight, height, sex) against the World Health Organization (WHO) growth standards. It determines the percentile rank, indicating what percentage of babies of the same age and sex are smaller or shorter. For example, a 50th percentile means the baby is average, while the 90th percentile means 90% of babies are smaller. BMI is calculated as weight (kg) / height (m)^2 and then converted to a percentile.
Key Assumptions:
Growth Standards: WHO Growth Standards
Units: Age (months), Weight (kg), Height (cm)
Baby Growth Chart Visualization
This chart visualizes your baby's weight and height percentiles against WHO standards for their age.
WHO Growth Data Table (Example for 6 Months Male)
Weight-for-age (kg) – WHO Standards
| Percentile |
Weight (kg) |
| 3rd | 6.5 |
| 15th | 7.1 |
| 50th | 8.0 |
| 85th | 8.9 |
| 97th | 9.5 |
Height-for-age (cm) – WHO Standards
| Percentile |
Height (cm) |
| 3rd | 63.0 |
| 15th | 65.5 |
| 50th | 68.0 |
| 85th | 70.5 |
| 97th | 72.5 |
{primary_keyword}
A baby height weight percentage calculator, often referred to as a baby growth chart calculator, is an essential tool for parents and healthcare providers. It helps to assess whether a baby's physical development is on track compared to established growth standards. These standards, typically provided by organizations like the World Health Organization (WHO) or national health bodies, represent the typical growth patterns of healthy infants. By inputting the baby's age, weight, height, and sex, the calculator generates percentile rankings. These percentiles indicate how a baby's measurements compare to thousands of other babies of the same age and sex. For instance, a baby at the 75th percentile for weight means that 75% of babies of the same age and sex weigh less than this baby, and 25% weigh more. Understanding these percentiles is crucial for monitoring a baby's health and identifying potential growth concerns early on. This baby height weight percentage calculator is designed to provide clear, actionable insights.
Who should use it?
- New parents seeking to understand their baby's growth.
- Caregivers monitoring a baby's development.
- Pediatricians and healthcare professionals using it as a quick reference tool.
- Anyone interested in comparing a baby's growth against established norms.
Common misconceptions about baby growth percentiles:
- Misconception 1: A low percentile (e.g., below 10th) always means a problem. Reality: Many healthy babies naturally fall into lower percentiles. Consistency in growth is often more important than the specific percentile.
- Misconception 2: A high percentile (e.g., above 90th) always means the baby is overweight. Reality: Babies have different body compositions. A high percentile could simply mean the baby is robust and healthy, especially if they are active and meeting developmental milestones.
- Misconception 3: Percentiles are fixed. Reality: Babies' percentiles can fluctuate, especially in the first year, as they establish their individual growth curve.
The core of a baby height weight percentage calculator relies on comparing a baby's measurements against reference data, typically from growth charts. These charts are derived from statistical analysis of large populations of healthy infants. The process involves finding the baby's specific age on the chart and then locating where their weight and height fall relative to the plotted percentile curves (e.g., 3rd, 15th, 50th, 85th, 97th). The calculator essentially interpolates these values.
Mathematical Explanation:
While exact percentile calculation from raw data requires complex statistical models (like the LMS method – Lambda, Mu, Sigma), most calculators use pre-computed tables or simplified interpolation. The fundamental idea is to find the value (weight or height) that corresponds to a specific percentile at a given age and sex.
1. Weight Percentile Calculation:
The calculator looks up the baby's age and sex in a reference table (e.g., WHO growth standards). It finds the weight values corresponding to different percentiles at that specific age. If the baby's measured weight falls between two percentile values, interpolation is used to estimate the exact percentile. For example, if at 6 months, the 50th percentile weight is 8.0 kg and the 85th percentile weight is 8.9 kg, and the baby weighs 8.5 kg, the calculator would estimate a percentile between 50% and 85%.
2. Height Percentile Calculation:
Similar to weight, the baby's age and sex are used to find height values at different percentiles from the reference data. The baby's measured height is then compared to these values to determine its percentile rank.
3. BMI Calculation:
Body Mass Index (BMI) is calculated first. The formula is:
BMI = Weight (kg) / (Height (m))^2
Note: Height must be converted from centimeters to meters (e.g., 68 cm = 0.68 m).
4. BMI Percentile Calculation:
Once the BMI is calculated, it's then compared against BMI-for-age growth charts, which are specific to age and sex. Similar to height and weight percentiles, the calculator determines where the baby's BMI falls on this chart to find the BMI percentile.
Variables Table:
Variables Used in Baby Growth Calculation
| Variable |
Meaning |
Unit |
Typical Range (Approximate) |
| Age | Baby's age since birth | Months | 0 – 60 months |
| Weight | Baby's body mass | Kilograms (kg) | 0.5 – 25 kg |
| Height | Baby's length or stature | Centimeters (cm) | 30 – 110 cm |
| Sex | Baby's biological sex | Categorical (Male/Female) | Male, Female |
| BMI | Body Mass Index | Unitless | 10 – 20 (typical for infants/toddlers) |
| Percentile | Rank indicating comparison to peers | Percentage (%) | 0 – 100% |
Practical Examples (Real-World Use Cases)
Example 1: Monitoring Healthy Growth
Scenario: Sarah and Tom are parents to a 8-month-old baby boy named Leo. Leo was born full-term and has been gaining weight steadily. They use the baby height weight percentage calculator to check his progress.
Inputs:
- Age: 8 months
- Weight: 9.2 kg
- Height: 72 cm
- Sex: Male
Calculator Output:
- Weight Percentile: 75th %
- Height Percentile: 85th %
- BMI: 17.8
- BMI Percentile: 80th %
Interpretation: Leo is growing well. His weight is above average, placing him in the 75th percentile, and his height is also robust, in the 85th percentile. His BMI is also in a healthy, higher range (80th percentile). This indicates he is a larger, well-proportioned baby for his age, following a healthy growth trajectory. The consistency across weight, height, and BMI percentiles is a positive sign.
Example 2: Identifying Potential Concerns
Scenario: Maria is concerned because her 12-month-old daughter, Sofia, seems much smaller than other babies her age. Sofia was born prematurely and has had some feeding challenges.
Inputs:
- Age: 12 months
- Weight: 7.8 kg
- Height: 69 cm
- Sex: Female
Calculator Output:
- Weight Percentile: 5th %
- Height Percentile: 3rd %
- BMI: 16.4
- BMI Percentile: 10th %
Interpretation: Sofia's measurements place her in the lower percentiles for both weight (5th) and height (3rd). Her BMI is also on the lower end (10th percentile). While healthy babies can exist in lower percentiles, these results, especially given her history of prematurity and feeding issues, warrant a discussion with her pediatrician. The pediatrician can assess if Sofia is following her own consistent growth curve or if further investigation into nutritional intake or underlying medical conditions is needed. This baby height weight percentage calculator highlights the need for professional medical advice in such cases.
How to Use This {primary_keyword} Calculator
Using our baby height weight percentage calculator is straightforward. Follow these simple steps to get accurate growth percentile information for your baby:
- Enter Baby's Age: Input the baby's age in months. You can use decimals for partial months (e.g., 6.5 for 6 and a half months).
- Enter Baby's Weight: Provide the baby's current weight in kilograms (kg). Ensure you are using the correct unit.
- Enter Baby's Height: Input the baby's current height in centimeters (cm).
- Select Baby's Sex: Choose 'Male' or 'Female' from the dropdown menu. Growth charts are sex-specific.
- Calculate: Click the "Calculate Percentile" button.
How to Read Results:
- Primary Result (Overall Percentile): This gives a general sense of the baby's overall growth status.
- Weight Percentile: Shows how the baby's weight compares to others of the same age and sex. A 50th percentile is the median.
- Height Percentile: Shows how the baby's height compares.
- BMI & BMI Percentile: BMI provides a ratio of weight to height, and its percentile indicates how this ratio compares.
Decision-Making Guidance:
- Consistent Growth: Look for percentiles that are relatively stable over time. A baby consistently in the 20th percentile is likely healthy if their growth curve is smooth.
- Sudden Changes: A rapid jump or drop in percentiles might signal a change in growth pattern that warrants medical attention.
- Consult Professionals: Always discuss your baby's growth results with your pediatrician. This calculator is a tool for information, not a substitute for professional medical advice. They can interpret the results in the context of your baby's overall health, feeding, and development.
- Use the Chart: The visual chart helps you see where your baby falls relative to the standard curves.
Key Factors That Affect {primary_keyword} Results
Several factors influence a baby's growth and, consequently, their percentile rankings. Understanding these can provide a more nuanced interpretation of the baby height weight percentage calculator results:
- Genetics: Just like adults, babies inherit genetic predispositions for height and build. A baby from tall parents may naturally trend towards higher height percentiles.
- Nutrition: Adequate and appropriate nutrition is paramount. Breast milk or formula provides essential nutrients for growth. Issues with feeding, absorption, or dietary quality can significantly impact weight and height gain, affecting percentiles.
- Prenatal Health: A baby's growth in the womb and birth weight can set an initial trajectory. Premature babies or those born with Intrauterine Growth Restriction (IUGR) may start at lower percentiles and need time to catch up.
- Health Conditions: Underlying medical issues, such as chronic illnesses, hormonal imbalances (e.g., thyroid issues), or digestive disorders (e.g., celiac disease), can impair nutrient absorption and growth, leading to lower percentiles.
- Sleep and Activity Levels: While not direct inputs, adequate sleep and appropriate physical activity support overall development and hormonal regulation, which are indirectly linked to growth.
- Socioeconomic Factors: Access to quality healthcare, nutrition, and a safe environment can influence a baby's growth. Parental knowledge about infant nutrition and care also plays a role.
- Growth Spurts: Babies experience periods of rapid growth (growth spurts) where they might temporarily move to a higher percentile before settling back.
- Measurement Accuracy: Inaccurate measurements of age, weight, or height can lead to misleading percentile results. Consistent and accurate measurements are key.
Frequently Asked Questions (FAQ)
What is the difference between weight percentile and height percentile?
The weight percentile shows how your baby's weight compares to other babies of the same age and sex. The height percentile shows how their length/height compares. A baby can have different percentiles for weight and height.
Is it bad if my baby is in the 3rd percentile?
Not necessarily. Many healthy babies fall into the 3rd percentile. The most important factor is whether the baby is growing consistently along their own curve and meeting developmental milestones. A sudden drop to the 3rd percentile from a higher one might be more concerning than consistently being there. Always consult your pediatrician.
My baby's weight and height percentiles are very different. Should I worry?
It's common for babies to have different weight and height percentiles. For example, a baby might be tall for their age (high height percentile) but have a moderate weight (average weight percentile), resulting in a lower BMI percentile. This is often normal. However, significant discrepancies, especially if they represent a change in growth pattern, should be discussed with a doctor.
Which growth chart standard should I use (WHO vs. CDC)?
The WHO growth standards are generally recommended for infants and children from birth up to age 2, as they are based on breastfed infants and represent optimal growth. The CDC growth charts are often used for older children in the US. This calculator uses WHO standards.
How often should I measure my baby's height and weight?
For young infants, regular check-ups (e.g., monthly for the first few months, then quarterly) with a pediatrician are standard. At home, you can measure periodically, but focus on consistency and accuracy. Avoid daily weigh-ins, which can be misleading due to fluid fluctuations.
Can this calculator predict my baby's adult height?
No, this calculator is designed to assess current growth relative to peers. Predicting adult height involves different methods and considers factors like parental height and skeletal maturity, which are beyond the scope of this tool.
What does a 50th percentile mean for my baby?
A 50th percentile means your baby's measurement (weight or height) is exactly in the middle. Half of the babies of the same age and sex are smaller/shorter, and half are larger/taller. It's considered the average.
How accurate are these online calculators?
This calculator uses widely accepted WHO growth standards and standard formulas. Accuracy depends heavily on the precision of the input measurements (age, weight, height). For definitive assessments, always rely on measurements taken by healthcare professionals during regular check-ups.
var chartInstance = null; // Global variable to hold chart instance
function getWHOData(ageMonths, sex) {
// Simplified WHO data for demonstration. Real data is more complex.
// Data structure: { age: { male: { weight: […], height: […] }, female: { weight: […], height: […] } } }
// Percentiles: 3rd, 15th, 50th, 85th, 97th
var whoData = {
0: { male: { weight: [3.6, 4.1, 4.7, 5.3, 5.8], height: [49.2, 51.5, 53.7, 55.9, 58.0] }, female: { weight: [3.5, 4.0, 4.5, 5.1, 5.6], height: [48.5, 50.8, 52.9, 55.1, 57.2] } },
1: { male: { weight: [5.0, 5.7, 6.5, 7.3, 8.0], height: [54.7, 57.1, 59.4, 61.7, 63.9] }, female: { weight: [4.8, 5.4, 6.1, 6.9, 7.6], height: [53.5, 55.9, 58.1, 60.4, 62.6] } },
3: { male: { weight: [6.4, 7.3, 8.3, 9.3, 10.2], height: [60.8, 63.5, 66.1, 68.7, 71.1] }, female: { weight: [6.1, 7.0, 7.9, 8.9, 9.8], height: [59.4, 62.1, 64.7, 67.3, 69.7] } },
6: { male: { weight: [7.5, 8.4, 9.5, 10.6, 11.6], height: [67.0, 69.8, 72.5, 75.1, 77.6] }, female: { weight: [7.1, 8.0, 9.0, 10.1, 11.0], height: [65.1, 67.9, 70.6, 73.2, 75.7] } },
9: { male: { weight: [8.4, 9.4, 10.6, 11.8, 12.9], height: [71.7, 74.6, 77.4, 80.1, 82.7] }, female: { weight: [7.9, 8.9, 10.0, 11.2, 12.2], height: [69.4, 72.2, 75.0, 77.7, 80.3] } },
12: { male: { weight: [9.1, 10.2, 11.4, 12.7, 13.9], height: [75.8, 78.8, 81.7, 84.5, 87.2] }, female: { weight: [8.6, 9.7, 10.9, 12.1, 13.2], height: [73.4, 76.3, 79.1, 81.9, 84.6] } },
18: { male: { weight: [10.1, 11.3, 12.7, 14.1, 15.5], height: [81.1, 84.2, 87.2, 90.1, 92.9] }, female: { weight: [9.5, 10.7, 12.0, 13.4, 14.7], height: [78.3, 81.3, 84.2, 87.1, 89.9] } },
24: { male: { weight: [11.1, 12.4, 13.9, 15.4, 17.0], height: [85.7, 88.9, 92.0, 95.0, 97.9] }, female: { weight: [10.4, 11.7, 13.1, 14.6, 16.1], height: [82.7, 85.8, 88.8, 91.7, 94.5] } },
36: { male: { weight: [12.8, 14.2, 15.9, 17.5, 19.2], height: [91.1, 94.5, 97.8, 100.9, 103.8] }, female: { weight: [11.9, 13.3, 14.9, 16.5, 18.1], height: [87.9, 91.1, 94.2, 97.2, 100.0] } },
48: { male: { weight: [14.3, 15.8, 17.6, 19.4, 21.3], height: [95.7, 99.2, 102.6, 105.8, 108.8] }, female: { weight: [13.3, 14.8, 16.5, 18.2, 20.0], height: [92.4, 95.7, 98.9, 102.0, 104.9] } },
60: { male: { weight: [15.8, 17.4, 19.3, 21.2, 23.2], height: [100.0, 103.5, 107.0, 110.2, 113.2] }, female: { weight: [14.7, 16.3, 18.1, 19.9, 21.8], height: [96.7, 100.0, 103.3, 106.4, 109.3] } }
};
// Find the closest age data point
var ages = Object.keys(whoData).map(Number).sort(function(a, b){ return a – b; });
var closestAge = ages[0];
for (var i = 0; i = ages[i]) {
closestAge = ages[i];
} else {
break;
}
}
if (whoData[closestAge] && whoData[closestAge][sex]) {
return whoData[closestAge][sex];
}
return null; // Data not found
}
function interpolate(x, x0, y0, x1, y1) {
return y0 + (x – x0) * (y1 – y0) / (x1 – x0);
}
function calculatePercentile(value, dataArray) {
// dataArray is expected to be sorted [p3, p15, p50, p85, p97]
var percentiles = [3, 15, 50, 85, 97];
if (!dataArray || dataArray.length !== 5) return '–';
if (value = dataArray[4]) return percentiles[4];
for (var i = 0; i = dataArray[i] && value <= dataArray[i+1]) {
return interpolate(value, dataArray[i], percentiles[i], dataArray[i+1], percentiles[i+1]);
}
}
return '–'; // Should not happen if logic is correct
}
function calculateBMI(weightKg, heightCm) {
if (weightKg <= 0 || heightCm <= 0) return null;
var heightM = heightCm / 100;
var bmi = weightKg / (heightM * heightM);
return bmi.toFixed(2);
}
function getBMIData(ageMonths, sex) {
// Simplified BMI-for-age data (WHO)
// Data structure: { age: { male: { bmi: […], percentile: […] }, female: { bmi: […], percentile: […] } } }
// Percentiles: 3rd, 15th, 50th, 85th, 97th
var bmiData = {
0: { male: { bmi: [11.5, 12.5, 13.7, 14.9, 16.1], percentile: [3, 15, 50, 85, 97] }, female: { bmi: [11.3, 12.3, 13.5, 14.7, 15.9], percentile: [3, 15, 50, 85, 97] } },
3: { male: { bmi: [14.5, 15.5, 16.8, 18.1, 19.4], percentile: [3, 15, 50, 85, 97] }, female: { bmi: [14.2, 15.2, 16.5, 17.8, 19.1], percentile: [3, 15, 50, 85, 97] } },
6: { male: { bmi: [15.8, 16.8, 18.0, 19.3, 20.6], percentile: [3, 15, 50, 85, 97] }, female: { bmi: [15.5, 16.5, 17.7, 19.0, 20.3], percentile: [3, 15, 50, 85, 97] } },
12: { male: { bmi: [16.5, 17.4, 18.5, 19.7, 20.9], percentile: [3, 15, 50, 85, 97] }, female: { bmi: [16.2, 17.1, 18.2, 19.4, 20.6], percentile: [3, 15, 50, 85, 97] } },
18: { male: { bmi: [16.5, 17.3, 18.3, 19.4, 20.6], percentile: [3, 15, 50, 85, 97] }, female: { bmi: [16.1, 17.0, 18.0, 19.1, 20.3], percentile: [3, 15, 50, 85, 97] } },
24: { male: { bmi: [16.3, 17.1, 18.1, 19.2, 20.4], percentile: [3, 15, 50, 85, 97] }, female: { bmi: [15.9, 16.8, 17.8, 18.9, 20.1], percentile: [3, 15, 50, 85, 97] } },
36: { male: { bmi: [15.9, 16.7, 17.7, 18.8, 19.9], percentile: [3, 15, 50, 85, 97] }, female: { bmi: [15.5, 16.3, 17.3, 18.4, 19.5], percentile: [3, 15, 50, 85, 97] } },
48: { male: { bmi: [15.6, 16.4, 17.4, 18.5, 19.6], percentile: [3, 15, 50, 85, 97] }, female: { bmi: [15.2, 16.0, 17.0, 18.1, 19.2], percentile: [3, 15, 50, 85, 97] } },
60: { male: { bmi: [15.4, 16.2, 17.2, 18.3, 19.4], percentile: [3, 15, 50, 85, 97] }, female: { bmi: [15.0, 15.8, 16.8, 17.9, 19.0], percentile: [3, 15, 50, 85, 97] } }
};
// Find the closest age data point
var ages = Object.keys(bmiData).map(Number).sort(function(a, b){ return a – b; });
var closestAge = ages[0];
for (var i = 0; i = ages[i]) {
closestAge = ages[i];
} else {
break;
}
}
if (bmiData[closestAge] && bmiData[closestAge][sex]) {
return bmiData[closestAge][sex];
}
return null;
}
function calculateBMIPercentile(bmiValue, bmiData) {
if (!bmiValue || !bmiData || !bmiData.bmi || !bmiData.percentile) return '–';
var dataArray = bmiData.bmi;
var percentiles = bmiData.percentile;
if (bmiValue = dataArray[4]) return percentiles[4];
for (var i = 0; i = dataArray[i] && bmiValue <= dataArray[i+1]) {
return interpolate(bmiValue, dataArray[i], percentiles[i], dataArray[i+1], percentiles[i+1]).toFixed(0);
}
}
return '–';
}
function updateChart(age, weight, height, weightP, heightP, bmiP) {
var ctx = document.getElementById('growthChart').getContext('2d');
// Destroy previous chart instance if it exists
if (chartInstance) {
chartInstance.destroy();
}
// Sample data points for WHO standards (approximate)
// These should ideally be more granular and accurate
var chartAges = [0, 3, 6, 9, 12, 18, 24, 36, 48, 60]; // Months
var maleWeight50 = [4.7, 8.3, 9.5, 10.6, 11.4, 12.7, 13.9, 15.9, 17.6, 19.3]; // kg
var maleHeight50 = [53.7, 66.1, 72.5, 77.4, 81.7, 87.2, 92.0, 97.8, 102.6, 107.0]; // cm
var femaleWeight50 = [4.5, 7.9, 9.0, 10.0, 10.9, 12.0, 13.1, 14.9, 16.5, 18.1]; // kg
var femaleHeight50 = [52.9, 64.7, 70.6, 75.0, 79.1, 84.2, 88.8, 94.2, 98.9, 103.3]; // cm
var sex = document.getElementById('babySex').value;
var weight50 = (sex === 'male') ? maleWeight50 : femaleWeight50;
var height50 = (sex === 'male') ? maleHeight50 : femaleHeight50;
// Add the current baby's data point
var plotAges = chartAges.concat([age]).sort(function(a, b){ return a – b; });
var plotWeight50 = weight50.slice();
var plotHeight50 = height50.slice();
var babyAgeIndex = plotAges.indexOf(age);
if (babyAgeIndex === -1) { // If age is not in the standard list, add it
plotAges.push(age);
plotAges.sort(function(a, b){ return a – b; });
babyAgeIndex = plotAges.indexOf(age);
}
// Placeholder for baby's weight/height at 50th percentile for interpolation if needed
plotWeight50.splice(babyAgeIndex, 0, weight); // This is a simplification; actual interpolation needed
plotHeight50.splice(babyAgeIndex, 0, height); // This is a simplification; actual interpolation needed
chartInstance = new Chart(ctx, {
type: 'line',
data: {
labels: plotAges,
datasets: [
{
label: 'Baby Weight (kg)',
data: plotWeight50, // Use the potentially interpolated data
borderColor: 'rgba(0, 74, 153, 1)', // Primary color
backgroundColor: 'rgba(0, 74, 153, 0.2)',
fill: false,
tension: 0.1,
pointRadius: 4,
pointBackgroundColor: 'rgba(0, 74, 153, 1)',
yAxisID: 'y_weight'
},
{
label: 'Baby Height (cm)',
data: plotHeight50, // Use the potentially interpolated data
borderColor: 'rgba(40, 167, 69, 1)', // Success color
backgroundColor: 'rgba(40, 167, 69, 0.2)',
fill: false,
tension: 0.1,
pointRadius: 4,
pointBackgroundColor: 'rgba(40, 167, 69, 1)',
yAxisID: 'y_height'
},
{
label: '50th Percentile Weight (kg)',
data: weight50,
borderColor: 'rgba(0, 74, 153, 0.5)',
borderDash: [5, 5],
fill: false,
tension: 0.1,
pointRadius: 0,
yAxisID: 'y_weight'
},
{
label: '50th Percentile Height (cm)',
data: height50,
borderColor: 'rgba(40, 167, 69, 0.5)',
borderDash: [5, 5],
fill: false,
tension: 0.1,
pointRadius: 0,
yAxisID: 'y_height'
}
]
},
options: {
responsive: true,
maintainAspectRatio: false,
scales: {
x: {
title: {
display: true,
text: 'Age (Months)'
}
},
y_weight: {
type: 'linear',
position: 'left',
title: {
display: true,
text: 'Weight (kg)'
},
min: 0,
max: 25 // Adjust max based on typical range
},
y_height: {
type: 'linear',
position: 'right',
title: {
display: true,
text: 'Height (cm)'
},
min: 30, // Adjust min based on typical range
max: 120 // Adjust max based on typical range
}
},
plugins: {
tooltip: {
mode: 'index',
intersect: false,
},
title: {
display: true,
text: 'Baby Growth Chart: Weight & Height Percentiles'
}
},
hover: {
mode: 'index',
intersect: false
}
}
});
}
function calculatePercentileValues() {
var ageMonths = parseFloat(document.getElementById('babyAge').value);
var weightKg = parseFloat(document.getElementById('babyWeight').value);
var heightCm = parseFloat(document.getElementById('babyHeight').value);
var sex = document.getElementById('babySex').value;
var errors = false;
// Input validation
if (isNaN(ageMonths) || ageMonths < 0) {
document.getElementById('babyAgeError').textContent = 'Please enter a valid age in months.';
document.getElementById('babyAgeError').style.display = 'block';
errors = true;
} else {
document.getElementById('babyAgeError').textContent = '';
document.getElementById('babyAgeError').style.display = 'none';
}
if (isNaN(weightKg) || weightKg <= 0) {
document.getElementById('babyWeightError').textContent = 'Please enter a valid weight in kg (greater than 0).';
document.getElementById('babyWeightError').style.display = 'block';
errors = true;
} else {
document.getElementById('babyWeightError').textContent = '';
document.getElementById('babyWeightError').style.display = 'none';
}
if (isNaN(heightCm) || heightCm <= 0) {
document.getElementById('babyHeightError').textContent = 'Please enter a valid height in cm (greater than 0).';
document.getElementById('babyHeightError').style.display = 'block';
errors = true;
} else {
document.getElementById('babyHeightError').textContent = '';
document.getElementById('babyHeightError').style.display = 'none';
}
if (errors) {
document.getElementById('primaryResult').textContent = '–%';
document.getElementById('weightPercentile').innerHTML = 'Weight Percentile:
–%';
document.getElementById('heightPercentile').innerHTML = 'Height Percentile:
–%';
document.getElementById('bmiResult').innerHTML = 'BMI:
—';
document.getElementById('bmiPercentile').innerHTML = 'BMI Percentile:
–%';
return;
}
var whoWeightData = getWHOData(ageMonths, sex);
var whoHeightData = getWHOData(ageMonths, sex); // Same function for height data
var bmiRefData = getBMIData(ageMonths, sex);
var weightP = '–';
var heightP = '–';
var bmi = '–';
var bmiP = '–';
if (whoWeightData && whoWeightData.weight) {
weightP = calculatePercentile(weightKg, whoWeightData.weight).toFixed(0);
}
if (whoHeightData && whoHeightData.height) {
heightP = calculatePercentile(heightCm, whoHeightData.height).toFixed(0);
}
bmi = calculateBMI(weightKg, heightCm);
if (bmi !== null && bmiRefData && bmiRefData.bmi) {
bmiP = calculateBMIPercentile(parseFloat(bmi), bmiRefData);
}
var primaryPercentile = Math.max(parseInt(weightP) || 0, parseInt(heightP) || 0); // Simple way to get a primary indicator
document.getElementById('primaryResult').textContent = primaryPercentile + '%';
document.getElementById('weightPercentile').innerHTML = 'Weight Percentile:
' + (weightP === '–' ? '–%' : weightP + '%') + '';
document.getElementById('heightPercentile').innerHTML = 'Height Percentile:
' + (heightP === '–' ? '–%' : heightP + '%') + '';
document.getElementById('bmiResult').innerHTML = 'BMI:
' + (bmi === '–' ? '–' : bmi) + '';
document.getElementById('bmiPercentile').innerHTML = 'BMI Percentile:
' + (bmiP === '–' ? '–%' : bmiP + '%') + '';
// Update chart
if (weightP !== '–' && heightP !== '–') {
updateChart(ageMonths, weightKg, heightCm, weightP, heightP, bmiP);
}
}
function resetCalculator() {
document.getElementById('babyAge').value = 6;
document.getElementById('babyWeight').value = 7.5;
document.getElementById('babyHeight').value = 68;
document.getElementById('babySex').value = 'male';
document.getElementById('babyAgeError').textContent = ";
document.getElementById('babyAgeError').style.display = 'none';
document.getElementById('babyWeightError').textContent = ";
document.getElementById('babyWeightError').style.display = 'none';
document.getElementById('babyHeightError').textContent = ";
document.getElementById('babyHeightError').style.display = 'none';
calculatePercentileValues(); // Recalculate with default values
}
function copyResults() {
var weightP = document.getElementById('weightPercentile').textContent.replace('Weight Percentile: ', ").trim();
var heightP = document.getElementById('heightPercentile').textContent.replace('Height Percentile: ', ").trim();
var bmi = document.getElementById('bmiResult').textContent.replace('BMI: ', ").trim();
var bmiP = document.getElementById('bmiPercentile').textContent.replace('BMI Percentile: ', ").trim();
var primaryResult = document.getElementById('primaryResult').textContent;
var assumptions = "Key Assumptions:\n- Growth Standards: WHO\n- Units: Age (months), Weight (kg), Height (cm)";
var textToCopy = "Baby Growth Percentile Results:\n" +
"——————————–\n" +
"Overall Indicator: " + primaryResult + "\n" +
"Weight Percentile: " + weightP + "\n" +
"Height Percentile: " + heightP + "\n" +
"BMI: " + bmi + "\n" +
"BMI Percentile: " + bmiP + "\n\n" +
assumptions;
// Use navigator.clipboard for modern browsers, fallback to textarea
if (navigator.clipboard && navigator.clipboard.writeText) {
navigator.clipboard.writeText(textToCopy).then(function() {
alert('Results copied to clipboard!');
}).catch(function(err) {
console.error('Failed to copy: ', err);
fallbackCopyTextToClipboard(textToCopy);
});
} else {
fallbackCopyTextToClipboard(textToCopy);
}
}
function fallbackCopyTextToClipboard(text) {
var textArea = document.createElement("textarea");
textArea.value = text;
textArea.style.position = "fixed"; // Avoid scrolling to bottom
textArea.style.left = "-9999px";
textArea.style.top = "-9999px";
document.body.appendChild(textArea);
textArea.focus();
textArea.select();
try {
var successful = document.execCommand('copy');
var msg = successful ? 'successful' : 'unsuccessful';
alert('Results copied to clipboard! (' + 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 on page load
document.addEventListener('DOMContentLoaded', function() {
calculatePercentileValues();
// Add event listeners for real-time updates
document.getElementById('babyAge').addEventListener('input', calculatePercentileValues);
document.getElementById('babyWeight').addEventListener('input', calculatePercentileValues);
document.getElementById('babyHeight').addEventListener('input', calculatePercentileValues);
document.getElementById('babySex').addEventListener('change', calculatePercentileValues);
// FAQ functionality
var faqQuestions = document.querySelectorAll('.faq-question');
faqQuestions.forEach(function(question) {
question.addEventListener('click', function() {
var answer = this.nextElementSibling;
if (answer.style.display === 'block') {
answer.style.display = 'none';
} else {
answer.style.display = 'block';
}
});
});
});
// Load Chart.js library dynamically if not already present
function loadChartJs() {
if (typeof Chart === 'undefined') {
var script = document.createElement('script');
script.src = 'https://cdn.jsdelivr.net/npm/chart.js@3.7.0/dist/chart.min.js'; // Use a specific version
script.onload = function() {
console.log('Chart.js loaded.');
// Now that Chart.js is loaded, perform the initial calculation which includes chart update
calculatePercentileValues();
};
script.onerror = function() {
console.error('Failed to load Chart.js');
alert('Error loading charting library. Chart functionality may be limited.');
};
document.head.appendChild(script);
} else {
console.log('Chart.js already loaded.');
// If Chart.js is already loaded, just perform the calculation
calculatePercentileValues();
}
}
// Call loadChartJs when the DOM is ready
document.addEventListener('DOMContentLoaded', loadChartJs);