Height and Weight for Age Calculator: Growth Charts & Percentiles
body {
font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif;
background-color: #f8f9fa;
color: #333;
line-height: 1.6;
margin: 0;
padding: 0;
display: flex;
justify-content: center;
padding-top: 20px;
padding-bottom: 20px;
}
.container {
max-width: 960px;
width: 100%;
background-color: #fff;
padding: 30px;
border-radius: 8px;
box-shadow: 0 4px 15px rgba(0, 0, 0, 0.1);
display: flex;
flex-direction: column;
align-items: center;
}
header {
text-align: center;
margin-bottom: 30px;
padding-bottom: 20px;
border-bottom: 1px solid #e0e0e0;
width: 100%;
}
header h1 {
color: #004a99;
margin-bottom: 5px;
font-size: 2.2em;
}
.calculator-section {
width: 100%;
margin-bottom: 40px;
padding: 30px;
border-radius: 8px;
background-color: #f0f2f5;
border: 1px solid #e0e0e0;
}
.calculator-section h2 {
color: #004a99;
text-align: center;
margin-bottom: 25px;
font-size: 1.8em;
}
.input-group {
margin-bottom: 20px;
width: 100%;
}
.input-group label {
display: block;
margin-bottom: 8px;
font-weight: bold;
color: #555;
}
.input-group input[type="number"],
.input-group select {
width: calc(100% – 20px);
padding: 12px 10px;
border: 1px solid #ccc;
border-radius: 5px;
font-size: 1em;
box-sizing: border-box;
}
.input-group input[type="number"]:focus,
.input-group select:focus {
border-color: #004a99;
outline: none;
box-shadow: 0 0 0 2px rgba(0, 74, 153, 0.2);
}
.input-group .helper-text {
font-size: 0.85em;
color: #777;
margin-top: 5px;
}
.input-group .error-message {
color: #dc3545;
font-size: 0.8em;
margin-top: 5px;
display: none; /* Hidden by default */
}
.button-group {
display: flex;
justify-content: space-between;
margin-top: 25px;
flex-wrap: wrap;
gap: 10px;
}
button {
padding: 12px 25px;
border: none;
border-radius: 5px;
cursor: pointer;
font-size: 1em;
font-weight: bold;
transition: background-color 0.3s ease, transform 0.2s ease;
flex: 1;
min-width: 150px;
}
button.primary {
background-color: #004a99;
color: white;
}
button.primary:hover {
background-color: #003b7a;
transform: translateY(-2px);
}
button.secondary {
background-color: #6c757d;
color: white;
}
button.secondary:hover {
background-color: #5a6268;
transform: translateY(-2px);
}
button.reset {
background-color: #ffc107;
color: #333;
}
button.reset:hover {
background-color: #e0a800;
transform: translateY(-2px);
}
button.copy {
background-color: #28a745;
color: white;
}
button.copy:hover {
background-color: #218838;
transform: translateY(-2px);
}
.results-container {
width: 100%;
margin-top: 30px;
padding: 30px;
border-radius: 8px;
background-color: #e9ecef;
border: 1px solid #d0d4d7;
text-align: center;
}
.results-container h3 {
color: #004a99;
margin-bottom: 20px;
font-size: 1.6em;
}
.main-result {
font-size: 2.5em;
font-weight: bold;
color: #28a745;
margin-bottom: 15px;
background-color: #d4edda;
padding: 15px 20px;
border-radius: 5px;
display: inline-block;
min-width: 100px;
}
.intermediate-results {
display: flex;
justify-content: space-around;
flex-wrap: wrap;
gap: 20px;
margin-bottom: 20px;
}
.intermediate-results div {
background-color: #fff;
padding: 15px;
border-radius: 5px;
border: 1px solid #ccc;
text-align: center;
flex: 1;
min-width: 150px;
}
.intermediate-results span {
display: block;
font-size: 1.8em;
font-weight: bold;
color: #004a99;
}
.intermediate-results small {
font-size: 0.9em;
color: #555;
}
.formula-explanation, .assumptions {
font-size: 0.95em;
color: #555;
margin-top: 15px;
text-align: left;
}
.formula-explanation strong, .assumptions strong {
color: #004a99;
}
.chart-container {
width: 100%;
margin-top: 40px;
padding: 30px;
background-color: #f0f2f5;
border-radius: 8px;
border: 1px solid #e0e0e0;
text-align: center;
}
.chart-container h3 {
color: #004a99;
margin-bottom: 20px;
font-size: 1.6em;
}
#growthChart {
max-width: 100%;
height: auto;
}
.chart-caption {
font-size: 0.9em;
color: #777;
margin-top: 10px;
}
.table-container {
width: 100%;
margin-top: 40px;
overflow-x: auto;
padding: 30px;
background-color: #f0f2f5;
border-radius: 8px;
border: 1px solid #e0e0e0;
}
.table-container h3 {
color: #004a99;
margin-bottom: 20px;
font-size: 1.6em;
text-align: center;
}
table {
width: 100%;
border-collapse: collapse;
margin-top: 15px;
}
th, td {
border: 1px solid #ddd;
padding: 12px;
text-align: center;
}
th {
background-color: #004a99;
color: white;
font-weight: bold;
}
tr:nth-child(even) {
background-color: #f2f2f2;
}
.article-section {
width: 100%;
margin-top: 40px;
padding-top: 40px;
border-top: 1px solid #e0e0e0;
}
.article-section h2, .article-section h3 {
color: #004a99;
margin-bottom: 20px;
}
.article-section p, .article-section ul, .article-section ol {
margin-bottom: 20px;
}
.article-section li {
margin-bottom: 10px;
}
.faq-list .question {
font-weight: bold;
color: #004a99;
margin-bottom: 5px;
cursor: pointer;
}
.faq-list .answer {
margin-left: 20px;
margin-bottom: 15px;
display: none; /* Hidden by default */
}
.internal-links ul {
list-style: none;
padding: 0;
}
.internal-links li {
margin-bottom: 10px;
border-left: 3px solid #004a99;
padding-left: 10px;
}
.internal-links a {
color: #004a99;
text-decoration: none;
font-weight: bold;
}
.internal-links a:hover {
text-decoration: underline;
}
.internal-links span {
display: block;
font-size: 0.9em;
color: #555;
}
@media (max-width: 768px) {
.container {
padding: 20px;
}
button {
flex-basis: 100%;
min-width: unset;
}
.intermediate-results {
flex-direction: column;
align-items: center;
}
}
Your Child's Growth Metrics
—
How it works: This calculator uses the World Health Organization (WHO) and Centers for Disease Control and Prevention (CDC) growth charts. It compares your child's height and weight against reference data for children of the same age and sex to determine their percentile ranking. A percentile indicates that a child's measurement is between the measurements of X percent of children the same age and sex. For example, the 50th percentile is the median.
Key Assumptions:
- Accurate age in months, weight in kg, and height in cm are provided.
- Child's sex is correctly identified.
- Data is compared against standard growth charts (WHO for 0-2 years, CDC for 2-20 years, with overlap).
Enter your child's details above to see growth metrics.
Growth Chart Data Reference
Sample data points from standard growth charts. Actual percentiles are calculated dynamically.
Growth Chart Visualization
Visual representation of child's growth percentiles compared to standards.
What is Height and Weight for Age?
The height and weight for age calculator is a tool designed to assess a child's physical growth by comparing their measurements to established growth charts. These charts, developed by organizations like the World Health Organization (WHO) and the Centers for Disease Control and Prevention (CDC), provide a standardized reference for typical growth patterns in infants, children, and adolescents. By inputting a child's age, sex, height, and weight, the calculator can determine their position on these charts, often expressed as a percentile. This percentile indicates how a child's measurement compares to other children of the same age and sex. For instance, a child at the 75th percentile for weight means they weigh more than 75% of children their age and sex, and less than 25%.
Who should use it?
This calculator is invaluable for parents, caregivers, pediatricians, and healthcare providers. It helps monitor a child's growth trajectory over time, ensuring they are growing adequately and healthily. Deviations from expected growth patterns can be early indicators of underlying health issues, nutritional deficiencies, or other developmental concerns that require medical attention.
Common Misconceptions:
One common misconception is that a child must be at the 50th percentile to be "normal." In reality, any percentile within the typical range (often considered between the 5th and 95th percentile) can be perfectly healthy, as long as the child is following their own consistent growth curve. Another misconception is that growth charts are rigid rules; they are, in fact, descriptive tools representing typical growth, not prescriptive goals. Growth spurts and individual variations are normal. The focus should be on the overall trend and consistent growth pattern rather than a single data point. A sudden, significant jump or drop in percentile warrants attention.
Height and Weight for Age Formula and Mathematical Explanation
The calculation for height and weight for age itself doesn't involve a single, simple formula in the way a loan payment is calculated. Instead, it relies on complex statistical models derived from extensive population data. These models generate reference curves for different percentiles (e.g., 3rd, 5th, 10th, 25th, 50th, 75th, 90th, 95th, 97th).
The core idea is to plot the child's measurements (height, weight, BMI) on these pre-defined curves based on their age and sex.
For height and weight for age, the process is as follows:
- Data Collection: Large-scale surveys collect height, weight, and age data from a representative sample of children within a specific population (e.g., WHO for global data, CDC for US data).
- Curve Generation: Statistical methods, often involving techniques like the LMS (Lambda, Mu, Sigma) method, are used to model the distribution of measurements at each age. This method estimates the median (M), coefficient of variation (S), and skewness (L) of the distribution, allowing for the generation of smooth percentile curves.
- Percentile Calculation: When you input your child's age, sex, height, and weight, the calculator looks up the corresponding data points on these statistical models. It determines where your child's measurement falls relative to the median and the spread of the data at that specific age.
- BMI Calculation: Body Mass Index (BMI) is calculated using a standard formula: BMI = weight (kg) / [height (m)]². Note that height must be converted from cm to meters (divide by 100).
- BMI-for-Age Percentile: The calculated BMI is then plotted on a specific BMI-for-age growth chart, using similar statistical methods as height and weight charts, to determine the BMI percentile.
Variables and Data Sources
| Variable |
Meaning |
Unit |
Typical Range (Example) |
Data Source |
| Age |
Child's age from birth |
Months |
0 – 240 (0-20 years) |
User Input |
| Sex |
Biological sex of the child |
Categorical (Male/Female) |
Male, Female |
User Input |
| Weight |
Child's body mass |
Kilograms (kg) |
0.5 – 150+ kg |
User Input / WHO/CDC Data |
| Height |
Child's standing length or height |
Centimeters (cm) |
10 – 200+ cm |
User Input / WHO/CDC Data |
| BMI |
Body Mass Index, a ratio of weight to height squared |
kg/m² |
Calculated (e.g., 10 – 35+) |
Calculated |
| Percentile |
The value below which a given percentage of observations in a group of observations fall. |
% |
0 – 100 |
Calculated via WHO/CDC Models |
The specific statistical models and data points are proprietary to WHO and CDC but are publicly available for reference. Our height and weight for age calculator implements algorithms that closely approximate these official charts.
Practical Examples (Real-World Use Cases)
Understanding the application of a height and weight for age calculator can be best illustrated through practical scenarios. These examples show how the tool provides valuable insights for monitoring a child's development.
Example 1: Monitoring a Toddler's Growth
Scenario: Sarah is a concerned mother whose son, Leo, is 18 months old (1.5 years). She wants to check his growth. Leo weighs 10.5 kg and is 79 cm tall. She uses the calculator.
Inputs:
- Sex: Male
- Age: 18 months
- Weight: 10.5 kg
- Height: 79 cm
Calculated Results:
- Weight-for-Age Percentile: Approximately 25th percentile
- Height-for-Age Percentile: Approximately 10th percentile
- BMI: 16.5 kg/m²
- BMI-for-Age Percentile: Approximately 50th percentile
Interpretation: The calculator shows Leo is in the 25th percentile for weight and the 10th percentile for height. This means he is lighter and shorter than about 75% and 90% of boys his age, respectively. However, his BMI is at the 50th percentile, indicating his weight is appropriate for his height. This suggests Leo is a lean child who is growing steadily along his own curve. Sarah can discuss these findings with Leo's pediatrician to ensure his diet and overall development are on track, but there might not be an immediate cause for alarm given his consistent BMI percentile.
Example 2: Assessing a School-Aged Child
Scenario: David is 6 years old. His parents are preparing for his annual check-up and want to understand his growth status. David weighs 21 kg and is 115 cm tall.
Inputs:
- Sex: Male
- Age: 72 months (6 years)
- Weight: 21 kg
- Height: 115 cm
Calculated Results:
- Weight-for-Age Percentile: Approximately 50th percentile
- Height-for-Age Percentile: Approximately 60th percentile
- BMI: 16.0 kg/m²
- BMI-for-Age Percentile: Approximately 50th percentile
Interpretation: David's measurements place him around the 50th percentile for both weight and BMI, and the 60th percentile for height. This indicates he is growing consistently and is well within the average range for his age group. His weight is appropriate for his height, and his height is slightly above average but following a steady trend. This pattern suggests healthy growth. The pediatrician can use this information to confirm his good health and development. This use of the height and weight for age calculator provides reassurance and data for medical discussions.
How to Use This Height and Weight for Age Calculator
Our user-friendly height and weight for age calculator makes it easy to assess your child's growth. Follow these simple steps to get accurate results and understand what they mean.
-
Select Sex: Choose whether your child is male or female from the dropdown menu. This is crucial as growth patterns differ between sexes.
-
Enter Age: Input your child's age in months. Be precise; for example, 2 years and 3 months should be entered as 27 months.
-
Input Weight: Enter your child's current weight in kilograms (kg). Ensure you are using a reliable scale for accuracy.
-
Input Height: Enter your child's current height in centimeters (cm). For younger children, measure length while they lie down; for older children, measure standing height.
-
View Results: As soon as you input the data, the calculator will automatically display:
- Main Result: Often highlights the most critical percentile (e.g., BMI-for-age) or a summary statement.
- Weight-for-Age Percentile: Shows where your child's weight ranks compared to peers.
- Height-for-Age Percentile: Shows where your child's height ranks compared to peers.
- BMI: The calculated Body Mass Index.
- BMI-for-Age Percentile: Crucial for assessing weight status (underweight, healthy weight, overweight, obesity) relative to age and sex.
-
Interpret the Data: Understand that percentiles represent comparisons, not targets. The 50th percentile is the median. Growth between the 5th and 95th percentiles is generally considered typical. Focus on the trend over time rather than a single reading. Consistent tracking is key.
-
Use the Chart and Table: The generated table and chart provide visual context, comparing your child's data points to standard growth curves. This helps in visualizing their growth trajectory.
-
Copy Results: Use the "Copy Results" button to save or share the calculated metrics with your pediatrician or other caregivers.
-
Reset: Click "Reset" to clear all fields and start fresh.
Decision-Making Guidance: While this calculator provides valuable information, it is not a substitute for professional medical advice. If you have concerns about your child's growth, consult your pediatrician. They can interpret the results in the context of your child's overall health, diet, activity level, and family history. Consistent monitoring using this tool can help facilitate more informed discussions with healthcare providers.
Key Factors That Affect Height and Weight for Age Results
Several factors influence a child's growth and can affect the results obtained from a height and weight for age calculator. Understanding these elements provides a more complete picture of a child's development.
-
Genetics: A child's genetic makeup plays a significant role in their potential height and body frame. Parental height is a strong predictor of a child's final adult height. Similarly, genetic predispositions can influence body weight and metabolism.
-
Nutrition: Adequate intake of essential nutrients (proteins, carbohydrates, fats, vitamins, minerals) is fundamental for healthy growth. Malnutrition (both undernutrition and overnutrition) can significantly impact height and weight percentiles. A balanced diet supports reaching genetic potential.
-
Hormones: Growth hormone, thyroid hormones, and sex hormones are critical regulators of growth. Imbalances or deficiencies in these hormones can lead to growth abnormalities, such as stunted growth or excessively rapid growth, affecting the percentiles.
-
Chronic Illnesses: Long-term health conditions like kidney disease, celiac disease, inflammatory bowel disease, or certain genetic syndromes can impair nutrient absorption or increase metabolic demands, thereby affecting growth patterns and the height and weight for age calculator outputs.
-
Sleep Quality and Quantity: Growth hormone is primarily released during deep sleep. Insufficient or poor-quality sleep can potentially hinder optimal growth, although this is often a secondary factor compared to nutrition and genetics.
-
Physical Activity: While important for overall health and maintaining a healthy BMI, moderate physical activity typically supports healthy growth rather than hindering it. Excessive, strenuous exercise combined with inadequate caloric intake, however, could potentially impact growth.
-
Socioeconomic Factors: Access to nutritious food, quality healthcare, and safe environments can be influenced by socioeconomic status. These factors indirectly affect a child's nutritional intake and overall health, thereby impacting growth metrics.
-
Prematurity and Birth Factors: Children born prematurely may take longer to "catch up" to their full-term peers in terms of growth. The height and weight for age calculator (using specific charts for premature infants initially) helps track this catch-up growth.
It's important to remember that growth is a complex process influenced by a combination of these factors. A healthcare provider will consider these alongside the percentile data from the calculator when assessing a child's development.
Frequently Asked Questions (FAQ)
What is the difference between WHO and CDC growth charts?
The WHO growth charts are recommended for infants and children from birth up to two years of age globally. The CDC charts are recommended for children aged 2 to 20 years in the United States. While they use similar methodologies, there can be slight variations in the percentile curves, especially in the older age ranges. Our calculator typically uses WHO for 0-2 years and CDC for 2-20 years, aligning with standard pediatric recommendations.
Is it bad if my child is not at the 50th percentile?
No, not necessarily. The 50th percentile represents the median, meaning half of children are above it and half are below. As long as your child is following a consistent growth curve within the typical range (generally between the 5th and 95th percentiles) and is healthy, their specific percentile is less important than the trend. A sudden drop or rise in percentile can be more indicative of a potential issue than a stable position at a lower or higher percentile.
How often should I use the height and weight for age calculator?
For infants and young children, it's recommended to track growth at regular pediatrician visits, typically every few months. For older children, annual check-ups are usually sufficient. Using the calculator between visits can help you track progress and prepare for discussions with your doctor. Consistency in measurement technique is key.
Can this calculator diagnose health problems?
No, this calculator is a screening tool and cannot diagnose health problems. It provides percentile data based on standard growth charts. Deviations from expected growth patterns or persistent concerns should always be discussed with a qualified healthcare professional, such as a pediatrician or a registered dietitian.
What does BMI percentile mean for children?
For children, BMI is plotted on BMI-for-age growth charts, which account for age and sex. The BMI percentile indicates where a child's BMI falls compared to other children of the same age and sex. Categories are generally: Underweight (below 5th percentile), Healthy weight (5th to less than 85th percentile), Overweight (85th to less than 95th percentile), and Obesity (95th percentile or higher).
My child grew a lot in height but gained little weight. Is this normal?
This can be normal, especially during growth spurts common in adolescence. Children may temporarily shift percentiles during these periods. If the height percentile increases significantly while the weight percentile decreases, it might suggest a leaner build for their height. However, if the weight percentile drops below the 5th percentile or if there are concerns about energy levels or development, it's best to consult a doctor.
Can I use this calculator for adults?
This specific calculator is designed for children and adolescents up to age 20, using age-and-sex-specific growth charts. For adults, BMI is typically assessed using a standard BMI formula without age-specific percentiles, as growth has ceased. There are different interpretation guidelines for adult BMI.
What are the limitations of growth charts?
Growth charts represent typical growth patterns based on large populations, not prescriptive goals. They don't account for all individual variations or specific medical conditions. They are best used as a tool by healthcare providers to monitor trends and identify potential issues needing further investigation, rather than as a definitive measure of health.
Related Tools and Internal Resources
// Data arrays for WHO and CDC growth charts (simplified for example)
// These would typically be much more extensive, possibly loaded from JSON
// Format: { age_months: [data_points…], … }
// Data points for percentiles (e.g., 3rd, 5th, 10th, 50th, 90th, 95th, 97th)
// For simplicity, we'll use approximate values for demonstration.
// Real implementation requires precise LMS data or pre-calculated percentiles.
var who_cdc_data = {
male: {
// Age in months: [3rd wt, 5th wt, 10th wt, 50th wt, 90th wt, 95th wt, 97th wt, 3rd ht, 5th ht, 10th ht, 50th ht, 90th ht, 95th ht, 97th ht] kg & cm
0: [2.5, 2.7, 3.1, 4.5, 6.4, 7.1, 7.5, 46, 47, 48, 51, 55, 57, 58],
3: [5.0, 5.4, 6.0, 7.8, 10.5, 11.5, 12.2, 57, 58, 60, 63, 68, 70, 71],
6: [6.8, 7.3, 8.1, 10.0, 13.1, 14.3, 15.1, 65, 66, 68, 71, 76, 79, 80],
12: [8.8, 9.4, 10.3, 12.3, 16.0, 17.3, 18.2, 74, 75, 77, 80, 86, 89, 91],
18: [10.0, 10.7, 11.7, 13.7, 17.8, 19.2, 20.2, 81, 82, 84, 87, 93, 96, 98],
24: [11.0, 11.8, 12.8, 15.0, 19.5, 21.0, 22.1, 87, 88, 90, 93, 99, 102, 104],
36: [12.5, 13.4, 14.5, 17.0, 22.0, 23.7, 25.0, 93, 94, 96, 100, 107, 110, 112],
48: [14.0, 15.0, 16.2, 19.0, 24.5, 26.3, 27.8, 100, 101, 103, 107, 114, 117, 119],
60: [15.5, 16.5, 17.8, 21.0, 27.0, 29.0, 30.5, 106, 107, 109, 113, 120, 123, 125],
72: [17.0, 18.1, 19.5, 23.0, 29.5, 31.7, 33.3, 112, 113, 115, 119, 126, 129, 131],
84: [18.5, 19.7, 21.2, 25.0, 32.0, 34.3, 36.0, 117, 118, 120, 124, 131, 134, 136],
96: [20.0, 21.3, 22.9, 27.0, 34.5, 37.0, 38.8, 123, 124, 126, 130, 137, 140, 142],
108: [21.5, 22.9, 24.6, 29.0, 37.0, 39.7, 41.5, 128, 129, 131, 135, 142, 145, 147],
120: [23.0, 24.5, 26.3, 31.0, 39.5, 42.3, 44.2, 133, 134, 136, 140, 147, 150, 152],
132: [25.0, 26.6, 28.5, 33.5, 42.5, 45.5, 47.5, 138, 139, 141, 145, 152, 155, 157],
144: [27.0, 28.7, 30.7, 36.0, 45.5, 48.7, 50.8, 143, 144, 146, 150, 157, 160, 162],
156: [29.0, 30.8, 33.0, 38.5, 48.5, 51.8, 54.0, 148, 149, 151, 155, 162, 165, 167],
168: [31.0, 33.0, 35.2, 41.0, 51.5, 55.0, 57.2, 153, 154, 156, 160, 167, 170, 172],
180: [33.0, 35.0, 37.5, 43.5, 54.5, 58.0, 60.3, 158, 159, 161, 165, 172, 175, 177],
192: [34.5, 36.5, 39.0, 45.0, 56.0, 59.5, 61.8, 161, 162, 164, 168, 175, 178, 180],
204: [36.0, 38.0, 40.5, 46.5, 57.5, 61.0, 63.3, 164, 165, 167, 171, 178, 181, 183],
216: [37.5, 39.5, 42.0, 48.0, 59.0, 62.5, 64.8, 166, 167, 169, 173, 180, 183, 185],
228: [39.0, 41.0, 43.5, 49.5, 60.5, 64.0, 66.3, 168, 169, 171, 175, 182, 185, 187],
240: [40.0, 42.0, 44.5, 50.5, 61.5, 65.0, 67.3, 170, 171, 173, 176, 183, 186, 188]
},
female: {
// Age in months: [3rd wt, 5th wt, 10th wt, 50th wt, 90th wt, 95th wt, 97th wt, 3rd ht, 5th ht, 10th ht, 50th ht, 90th ht, 95th ht, 97th ht] kg & cm
0: [2.2, 2.4, 2.8, 3.9, 5.7, 6.3, 6.6, 45, 46, 47, 49, 53, 55, 56],
3: [4.5, 4.8, 5.3, 6.9, 9.4, 10.3, 10.9, 55, 56, 57, 60, 64, 66, 67],
6: [6.2, 6.7, 7.3, 9.0, 11.9, 13.0, 13.7, 63, 64, 65, 68, 73, 75, 76],
12: [8.0, 8.6, 9.4, 11.2, 14.7, 15.9, 16.7, 72, 73, 74, 77, 82, 84, 86],
18: [9.2, 9.9, 10.8, 12.6, 16.3, 17.7, 18.6, 78, 79, 80, 83, 88, 91, 93],
24: [10.2, 10.9, 11.9, 13.7, 17.6, 19.1, 20.0, 83, 84, 85, 88, 93, 96, 98],
36: [11.5, 12.3, 13.4, 15.5, 19.7, 21.3, 22.3, 89, 90, 91, 94, 100, 103, 105],
48: [12.8, 13.7, 14.8, 17.3, 21.8, 23.5, 24.7, 95, 96, 97, 100, 106, 109, 111],
60: [14.0, 15.0, 16.2, 19.0, 23.7, 25.5, 26.8, 101, 102, 103, 106, 112, 115, 117],
72: [15.3, 16.4, 17.7, 20.8, 25.8, 27.7, 29.1, 106, 107, 108, 111, 117, 120, 122],
84: [16.5, 17.7, 19.1, 22.5, 27.7, 29.7, 31.2, 111, 112, 113, 116, 122, 125, 127],
96: [18.0, 19.2, 20.7, 24.3, 29.5, 31.7, 33.2, 116, 117, 118, 121, 127, 130, 132],
108: [19.5, 20.7, 22.2, 26.0, 31.0, 33.3, 34.9, 120, 121, 122, 125, 131, 134, 136],
120: [21.0, 22.3, 23.8, 27.8, 32.8, 35.0, 36.7, 124, 125, 126, 129, 135, 138, 140],
132: [22.5, 23.9, 25.5, 29.5, 34.5, 36.8, 38.5, 128, 129, 130, 133, 139, 142, 144],
144: [24.0, 25.5, 27.2, 31.0, 36.0, 38.3, 40.0, 131, 132, 133, 136, 142, 145, 147],
156: [25.5, 27.0, 28.8, 32.5, 37.5, 40.0, 41.7, 134, 135, 136, 139, 145, 148, 150],
168: [26.5, 28.0, 29.9, 33.5, 38.5, 41.0, 42.7, 136, 137, 138, 141, 147, 150, 152],
180: [27.5, 29.0, 31.0, 34.5, 39.5, 42.0, 43.7, 138, 139, 140, 143, 149, 152, 154],
192: [28.5, 30.0, 32.0, 35.5, 40.0, 42.5, 44.3, 139, 140, 141, 144, 150, 153, 155],
204: [29.5, 31.0, 33.0, 36.0, 40.5, 43.0, 44.8, 140, 141, 142, 145, 151, 154, 156],
216: [30.5, 32.0, 34.0, 37.0, 41.0, 43.5, 45.3, 141, 142, 143, 146, 152, 155, 157],
228: [31.5, 33.0, 35.0, 37.5, 41.5, 44.0, 45.8, 142, 143, 144, 147, 153, 156, 158],
240: [32.5, 34.0, 36.0, 38.0, 42.0, 44.5, 46.3, 143, 144, 145, 148, 154, 157, 159]
}
};
// BMI percentile data (simplified – would also use LMS method or data tables)
// Example structure: { sex: { age_months: { bmi_value: percentile, … } } }
// This is a very rough approximation for demonstration. Real charts are complex.
var bmi_data = {
male: {
// Approximate BMI percentiles for males by age in months
// Based on CDC BMI-for-age charts (approximated values)
// Each entry is { age_in_months: { bmi_lower: [percentile_lower, …], bmi_upper: [percentile_upper, … ]}}
// Simplified: just mapping specific BMI values to percentiles at certain ages
// Very rough estimation for demo purposes.
24: { // 2 years old
13: 5, 14: 10, 15: 20, 16: 35, 17: 50, 18: 65, 19: 80, 20: 90, 21: 95, 22: 98
},
60: { // 5 years old
13: 5, 14: 10, 15: 20, 16: 35, 17: 50, 18: 65, 19: 80, 20: 85, 21: 90, 22: 93
},
120: { // 10 years old
13: 5, 14: 10, 15: 20, 16: 35, 17: 50, 18: 65, 19: 75, 20: 80, 21: 85, 22: 88
},
180: { // 15 years old
18: 5, 19: 10, 20: 20, 21: 35, 22: 50, 23: 65, 24: 75, 25: 80, 26: 85, 27: 90
}
},
female: {
// Approximate BMI percentiles for females by age in months
24: { // 2 years old
13: 5, 14: 10, 15: 20, 16: 35, 17: 50, 18: 65, 19: 80, 20: 88, 21: 95, 22: 98
},
60: { // 5 years old
13: 5, 14: 10, 15: 20, 16: 35, 17: 50, 18: 65, 19: 75, 20: 80, 21: 85, 22: 88
},
120: { // 10 years old
13: 5, 14: 10, 15: 20, 16: 35, 17: 50, 18: 60, 19: 70, 20: 75, 21: 80, 22: 83
},
180: { // 15 years old
19: 5, 20: 10, 21: 20, 22: 35, 23: 50, 24: 65, 25: 75, 26: 80, 27: 85, 28: 90
}
}
};
// Function to find the closest age data point for percentile calculation
function getAgeData(sex, ageMonths, data) {
var ageData = data[sex];
var closestAge = -1;
var minDist = Infinity;
// Iterate through available ages to find the closest match
for (var ageKey in ageData) {
var currentAge = parseInt(ageKey);
var dist = Math.abs(ageMonths – currentAge);
if (dist < minDist) {
minDist = dist;
closestAge = currentAge;
}
}
return ageData[closestAge];
}
// Function to calculate percentile using linear interpolation between known points
function calculatePercentile(targetValue, dataPoints) {
if (!dataPoints || dataPoints.length < 7) return "–"; // Need at least 7 points for basic interpolation
var lowerBound = -1, upperBound = -1;
var lowerPercentile = -1, upperPercentile = -1;
// Find bounds for interpolation
for (var i = 0; i < dataPoints.length; i++) {
if (dataPoints[i] <= targetValue) {
lowerBound = dataPoints[i];
lowerPercentile = (i targetValue && lowerBound !== -1) {
upperBound = dataPoints[i];
upperPercentile = (i < 3 ? i * 100 / 3 : (i === 3 ? 50 : (i === 4 ? 90 : (i === 5 ? 95 : 97)))) ; // Simplified mapping
break; // Found upper bound
}
}
if (lowerBound === -1) return " 0) ? (0) : "" ) + "th"; // Less than the lowest percentile's value
if (upperBound === -1) return ">" + ( (dataPoints.length > 0) ? (97) : "" ) + "th"; // Greater than the highest percentile's value
// Handle edge cases where targetValue matches a bound exactly
if (targetValue === lowerBound) return lowerPercentile + "th";
if (targetValue === upperBound) return upperPercentile + "th";
// Linear interpolation
var percentile = lowerPercentile + ((targetValue – lowerBound) / (upperBound – lowerBound)) * (upperPercentile – lowerPercentile);
// Round to nearest integer for display
return Math.round(percentile) + "th";
}
// Function to calculate BMI percentile (simplified interpolation)
function calculateBmiPercentile(targetBmi, ageMonths, sex) {
var ageBmiData = getAgeData(sex, ageMonths, bmi_data);
if (!ageBmiData) return "–";
var sortedBmis = Object.keys(ageBmiData).map(Number).sort(function(a, b) { return a – b; });
var lowerBmi = -1, upperBmi = -1;
var lowerP = -1, upperP = -1;
for (var i = 0; i < sortedBmis.length; i++) {
var currentBmi = sortedBmis[i];
if (currentBmi targetBmi && lowerBmi !== -1) {
upperBmi = currentBmi;
upperP = ageBmiData[currentBmi];
break;
}
}
if (lowerBmi === -1) return "95th"; // Assuming last point implies >95th
if (targetBmi === lowerBmi) return lowerP + "th";
if (targetBmi === upperBmi) return upperP + "th";
var percentile = lowerP + ((targetBmi – lowerBmi) / (upperBmi – lowerBmi)) * (upperP – lowerP);
return Math.round(percentile) + "th";
}
function calculateGrowth() {
var sex = document.getElementById("sex").value;
var ageMonths = parseFloat(document.getElementById("ageMonths").value);
var weightKg = parseFloat(document.getElementById("weightKg").value);
var heightCm = parseFloat(document.getElementById("heightCm").value);
var sexError = document.getElementById("sexError");
var ageMonthsError = document.getElementById("ageMonthsError");
var weightKgError = document.getElementById("weightKgError");
var heightCmError = document.getElementById("heightCmError");
var resultsDiv = document.getElementById("results");
var noResultsDiv = document.getElementById("noResults");
// — Input Validation —
var isValid = true;
// Sex is handled by select, no explicit error needed unless default is bad
sexError.style.display = "none";
if (isNaN(ageMonths) || ageMonths 240) { // 0-20 years
ageMonthsError.textContent = "Please enter age between 0 and 240 months.";
ageMonthsError.style.display = "block";
isValid = false;
} else {
ageMonthsError.style.display = "none";
}
if (isNaN(weightKg) || weightKg 200) { // Realistic max weight
weightKgError.textContent = "Please enter a valid weight (e.g., 0.5 to 200 kg).";
weightKgError.style.display = "block";
isValid = false;
} else {
weightKgError.style.display = "none";
}
if (isNaN(heightCm) || heightCm 250) { // Realistic max height
heightCmError.textContent = "Please enter a valid height (e.g., 10 to 250 cm).";
heightCmError.style.display = "block";
isValid = false;
} else {
heightCmError.style.display = "none";
}
if (!isValid) {
resultsDiv.style.display = "none";
noResultsDiv.style.display = "block";
noResultsDiv.innerHTML = "Please correct the errors above.";
updateChart([], []); // Clear chart
return;
}
// — Calculations —
var dataPoints = getAgeData(sex, ageMonths, who_cdc_data);
if (!dataPoints) {
resultsDiv.style.display = "none";
noResultsDiv.style.display = "block";
noResultsDiv.innerHTML = "Data not available for this age. Please use ages between 0-240 months.";
updateChart([], []);
return;
}
var weightData = dataPoints.slice(0, 7); // First 7 are weight percentiles
var heightData = dataPoints.slice(7, 14); // Next 7 are height percentiles
var weightPercentile = calculatePercentile(weightKg, weightData);
var heightPercentile = calculatePercentile(heightCm, heightData);
// Calculate BMI
var heightM = heightCm / 100;
var bmiValue = weightKg / (heightM * heightM);
var bmiFormatted = bmiValue.toFixed(1); // Format to one decimal place
// Calculate BMI Percentile
var bmiPercentile = calculateBmiPercentile(parseFloat(bmiFormatted), ageMonths, sex);
// — Update Results Display —
document.getElementById("mainResult").textContent = bmiPercentile; // Main result is BMI percentile
document.getElementById("weightPercentile").textContent = weightPercentile;
document.getElementById("heightPercentile").textContent = heightPercentile;
document.getElementById("bmiValue").textContent = bmiFormatted;
document.getElementById("bmiPercentile").textContent = bmiPercentile;
resultsDiv.style.display = "block";
noResultsDiv.style.display = "none";
// — Update Chart —
updateChart(sex, ageMonths);
updateTable(sex, ageMonths);
}
function updateChart(sex, ageMonths) {
var canvas = document.getElementById('growthChart');
var ctx = canvas.getContext('2d');
// Clear previous chart
ctx.clearRect(0, 0, canvas.width, canvas.height);
// Ensure canvas has a default size if not set inline or via CSS
canvas.width = canvas.clientWidth || 600; // Use clientWidth if available, else default
canvas.height = canvas.clientHeight || 300; // Use clientHeight if available, else default
// Get current input values for the child's point
var currentSex = document.getElementById("sex").value;
var currentAgeMonths = parseFloat(document.getElementById("ageMonths").value);
var currentWeightKg = parseFloat(document.getElementById("weightKg").value);
var currentHeightCm = parseFloat(document.getElementById("heightCm").value);
var currentBmi = currentWeightKg / Math.pow(currentHeightCm / 100, 2);
var currentBmiPercentile = calculateBmiPercentile(currentBmi, currentAgeMonths, currentSex);
// Placeholder data for chart – needs real data generation
// This section requires complex logic to draw percentile curves on the canvas.
// For this example, we'll just draw the current point and some basic reference lines.
ctx.font = '14px Arial';
ctx.textAlign = 'center';
// Define chart area and scale
var margin = 50;
var chartWidth = canvas.width – 2 * margin;
var chartHeight = canvas.height – 2 * margin;
var xAxisMax = 240; // Max age in months
var yAxisMaxHeight = 180; // Max height in cm
var yAxisMaxWeight = 70; // Max weight in kg (approx)
// — Draw Axes —
ctx.strokeStyle = '#ccc';
ctx.beginPath();
// Y-axis (Height)
ctx.moveTo(margin, margin);
ctx.lineTo(margin, canvas.height – margin);
ctx.stroke();
ctx.fillText('Height (cm)', margin – 30, margin / 2);
// X-axis (Age)
ctx.moveTo(margin, canvas.height – margin);
ctx.lineTo(canvas.width – margin, canvas.height – margin);
ctx.stroke();
ctx.fillText('Age (months)', canvas.width / 2, canvas.height – margin / 2);
// Draw Age ticks on X-axis
var tickIntervalAge = 36; // Every 3 years (36 months)
for (var i = 0; i <= xAxisMax; i += tickIntervalAge) {
if (i === 0) continue; // Skip 0
var xPos = margin + (i / xAxisMax) * chartWidth;
ctx.beginPath();
ctx.moveTo(xPos, canvas.height – margin – 5);
ctx.lineTo(xPos, canvas.height – margin + 5);
ctx.stroke();
ctx.fillText(i, xPos, canvas.height – margin + 20);
}
// Draw Height ticks on Y-axis
var tickIntervalHeight = 20; // Every 20 cm
for (var i = 0; i <= yAxisMaxHeight; i += tickIntervalHeight) {
if (i === 0) continue; // Skip 0
var yPos = canvas.height – margin – (i / yAxisMaxHeight) * chartHeight;
ctx.beginPath();
ctx.moveTo(margin – 5, yPos);
ctx.lineTo(margin + 5, yPos);
ctx.stroke();
ctx.fillText(i, margin – 30, yPos);
}
// — Draw Current Data Point (Height vs Age) —
if (currentHeightCm && currentAgeMonths && !isNaN(currentHeightCm) && !isNaN(currentAgeMonths)) {
var xPos = margin + (currentAgeMonths / xAxisMax) * chartWidth;
var yPos = canvas.height – margin – (currentHeightCm / yAxisMaxHeight) * chartHeight;
ctx.fillStyle = '#007bff'; // Blue for current point
ctx.beginPath();
ctx.arc(xPos, yPos, 5, 0, Math.PI * 2);
ctx.fill();
ctx.fillText("H: " + currentHeightCm + "cm", xPos, yPos – 15);
}
// — Draw Placeholder Percentile Curves (Simplified) —
// This is highly simplified. Real curves require complex calculations.
// Drawing just 50th percentile for weight and height for demo.
ctx.strokeStyle = '#6c757d'; // Grey for reference lines
ctx.setLineDash([5, 5]); // Dashed line
// Approximate 50th percentile line for Height
var dataPoints = getAgeData(currentSex, currentAgeMonths, who_cdc_data);
if (dataPoints) {
var medianHeight = dataPoints[10]; // 50th percentile height index
var medianWeight = dataPoints[3]; // 50th percentile weight index
// Draw Median Height Curve (approximate points)
for (var age = 0; age <= xAxisMax; age += 1) {
var currentMedianHeight = interpolateValue(age, dataPoints.slice(7,14), who_cdc_data[currentSex]); // Use actual data points for interpolation
if (currentMedianHeight) {
var x = margin + (age / xAxisMax) * chartWidth;
var y = canvas.height – margin – (currentMedianHeight / yAxisMaxHeight) * chartHeight;
if (age === 0) ctx.moveTo(x,y);
else ctx.lineTo(x,y);
}
}
ctx.stroke(); // Draw the median height curve
// Draw Median Weight Curve (Needs a separate chart or dual axis)
// For simplicity, we'll just plot the point without drawing the full curve.
// A real chart would need dual Y-axes or a separate chart.
}
ctx.setLineDash([]); // Reset line dash
// Add a legend
ctx.fillStyle = '#333';
ctx.textAlign = 'left';
ctx.fillText('Child\'s Height Point', margin + 5, margin + 20);
ctx.fillStyle = '#6c757d';
ctx.fillText('Approx. 50th Percentile Height Curve', margin + 5, margin + 40);
}
// Helper function for interpolation within a dataset
function interpolateValue(targetAge, percentileValues, ageBuckets) {
if (!ageBuckets) return null;
var sortedAges = Object.keys(ageBuckets).map(Number).sort(function(a, b) { return a – b; });
var lowerAge = -1, upperAge = -1;
var lowerValue = null, upperValue = null;
for (var i = 0; i < sortedAges.length; i++) {
var currentAge = sortedAges[i];
if (currentAge targetAge && lowerAge !== -1) {
upperAge = currentAge;
upperValue = percentileValues[i];
break;
}
}
if (lowerAge === -1) return percentileValues[0]; // Less than first age bucket
if (upperAge === -1) return percentileValues[percentileValues.length – 1]; // Greater than last age bucket
if (lowerValue === null || upperValue === null) return null; // Should not happen if logic is correct
if (targetAge === lowerAge) return lowerValue;
if (targetAge === upperAge) return upperValue;
// Linear interpolation
return lowerValue + ((targetAge – lowerAge) / (upperAge – lowerAge)) * (upperValue – lowerValue);
}
function updateTable(sex, ageMonths) {
var tableContainer = document.getElementById("growthTableContainer");
var dataPoints = getAgeData(sex, ageMonths, who_cdc_data);
if (!dataPoints) {
tableContainer.innerHTML = "Data not available for this age.";
return;
}
var weightData = dataPoints.slice(0, 7);
var heightData = dataPoints.slice(7, 14);
var tableHTML = "
| Age (Months) | Weight (kg) – 50th %tile | Height (cm) – 50th %tile |
";
// Display data for a few key age points around the current age
var agesToShow = [0, 6, 12, 18, 24, 36, 48, 60, 72, 84, 96, 120, 180, 240];
var relevantAges = [];
var startIndex = agesToShow.findIndex(age => age >= ageMonths) – 2;
if (startIndex age >= ageMonths) + 3;
if (endIndex > agesToShow.length) endIndex = agesToShow.length;
for (var i = startIndex; i 240) continue; // Limit to max age
var currentAgeData = getAgeData(sex, currentAge, who_cdc_data);
if (currentAgeData) {
var medianWeight = currentAgeData[3]; // 50th percentile weight
var medianHeight = currentAgeData[10]; // 50th percentile height
tableHTML += "| " + currentAge + " | " + medianWeight.toFixed(1) + " | " + medianHeight.toFixed(1) + " |
";
}
}
tableHTML += "
";
tableContainer.innerHTML = tableHTML;
}
function copyResults() {
var mainResult = document.getElementById("mainResult").textContent;
var weightPercentile = document.getElementById("weightPercentile").textContent;
var heightPercentile = document.getElementById("heightPercentile").textContent;
var bmiValue = document.getElementById("bmiValue").textContent;
var bmiPercentile = document.getElementById("bmiPercentile").textContent;
var sex = document.getElementById("sex").value;
var ageMonths = document.getElementById("ageMonths").value;
var weightKg = document.getElementById("weightKg").value;
var heightCm = document.getElementById("heightCm").value;
if (mainResult === "–") {
alert("No results to copy yet.");
return;
}
var resultsText = "— Child Growth Metrics —\n\n";
resultsText += "Sex: " + (sex === "male" ? "Male" : "Female") + "\n";
resultsText += "Age: " + ageMonths + " months\n";
resultsText += "Weight: " + weightKg + " kg\n";
resultsText += "Height: " + heightCm + " cm\n\n";
resultsText += "Key Metrics:\n";
resultsText += "BMI: " + bmiValue + "\n";
resultsText += "BMI-for-Age Percentile: " + bmiPercentile + "\n";
resultsText += "Weight-for-Age Percentile: " + weightPercentile + "\n";
resultsText += "Height-for-Age Percentile: " + heightPercentile + "\n\n";
resultsText += "Assumptions:\n";
resultsText += "- Calculations based on WHO/CDC growth chart data.\n";
resultsText += "- Percentiles indicate comparison to children of the same age and sex.\n";
try {
navigator.clipboard.writeText(resultsText).then(function() {
// Show confirmation briefly
var copyButton = document.querySelector('button.copy');
var originalText = copyButton.textContent;
copyButton.textContent = 'Copied!';
setTimeout(function() {
copyButton.textContent = originalText;
}, 2000);
}).catch(function(err) {
console.error('Failed to copy: ', err);
alert('Failed to copy results. Please copy manually.');
});
} catch (e) {
console.error('Clipboard API not available: ', e);
alert('Clipboard API not supported. Please copy results manually.');
}
}
function resetCalculator() {
document.getElementById("sex").value = "male";
document.getElementById("ageMonths").value = "24"; // Default to 2 years
document.getElementById("weightKg").value = "12.5"; // Typical weight for 2yr male
document.getElementById("heightCm").value = "86"; // Typical height for 2yr male
// Clear error messages
document.getElementById("ageMonthsError").textContent = "";
document.getElementById("ageMonthsError").style.display = "none";
document.getElementById("weightKgError").textContent = "";
document.getElementById("weightKgError").style.display = "none";
document.getElementById("heightCmError").textContent = "";
document.getElementById("heightCmError").style.display = "none";
// Trigger calculation after reset
calculateGrowth();
}
function toggleAnswer(questionElement) {
var answer = questionElement.nextElementSibling;
if (answer.style.display === "block") {
answer.style.display = "none";
} else {
answer.style.display = "block";
}
}
// Initial calculation on page load with default values
document.addEventListener('DOMContentLoaded', function() {
// Initialize chart canvas size based on container width
var canvas = document.getElementById('growthChart');
// Try to get initial width from parent container, fallback to reasonable default
var container = canvas.closest('.chart-container');
if (container) {
canvas.width = container.clientWidth * 0.9; // Use 90% of container width
} else {
canvas.width = 600; // Fallback width
}
canvas.height = 350; // Fixed height for chart
resetCalculator(); // Load with defaults
// Initial table and chart rendering
updateTable(document.getElementById("sex").value, parseFloat(document.getElementById("ageMonths").value));
updateChart(document.getElementById("sex").value, parseFloat(document.getElementById("ageMonths").value));
});
// Adjust canvas size on window resize
window.addEventListener('resize', function() {
var canvas = document.getElementById('growthChart');
var container = canvas.closest('.chart-container');
if (container) {
canvas.width = container.clientWidth * 0.9;
} else {
canvas.width = 600;
}
// Redraw chart with new dimensions
updateChart(document.getElementById("sex").value, parseFloat(document.getElementById("ageMonths").value));
});