Child Weight Calculation by Age

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Child Weight by Age Calculator

Understand Your Child's Growth Percentile

Child Weight Calculator

Enter age in months (e.g., 12 for 1 year old). Max 240 months (20 years).
Male Female Select biological sex for accurate percentile comparison.
Enter current weight in kilograms (e.g., 12.5).

Your Child's Growth Metrics

The calculator uses WHO (World Health Organization) growth standards to determine the weight-for-age percentile. Your child's weight is compared to a reference population of children of the same age and sex.

Weight (kg)

Age (Months)

Sex

Growth Standard

WHO

Chart showing child's weight percentile relative to age standards.
Enter details and click 'Calculate' to see results.

What is Child Weight Calculation by Age?

Child weight calculation by age is a method used by parents, caregivers, and healthcare professionals to assess a child's growth trajectory. It involves comparing a child's current weight against established growth charts or standards that represent typical growth patterns for children of the same age and sex. This process helps identify if a child is growing appropriately, is underweight, overweight, or experiencing growth faltering. The primary goal of child weight calculation by age is to monitor healthy development and flag potential health concerns early.

Who should use it? Anyone responsible for a child's well-being, including parents, pediatricians, nurses, nutritionists, and child development specialists. It's particularly useful for tracking growth over time and discussing concerns with healthcare providers. Parents and guardians use this tool to gain insight into their child's physical development between regular doctor visits. Healthcare providers rely on these calculations and charts to make clinical assessments and guide interventions. Early detection of deviations from the norm can lead to timely support, ensuring optimal health outcomes.

Common misconceptions A common misconception is that a single measurement dictates a child's health. Growth is a journey, and trends over time are more indicative than one isolated data point. Another is that exceeding or falling below the 50th percentile automatically means something is wrong. Percentiles simply show rank relative to peers; a child can be perfectly healthy at the 10th or 90th percentile if they follow their own growth curve consistently. One common misconception is that a child must be exactly on the 50th percentile to be considered healthy. In reality, a wide range of percentiles can be normal, provided the child is following a consistent growth curve and is otherwise healthy. Another misconception is that this calculation is a diagnostic tool; it is primarily an assessment tool that should be interpreted by a healthcare professional. Child weight calculation by age is a snapshot, not a complete picture of health.

Child Weight by Age: Formula and Mathematical Explanation

The core of child weight calculation by age relies on comparing a child's measured weight and age to standardized growth reference data. While there isn't a single "formula" to derive a "normal" weight, the process involves determining the child's position (percentile) on a standardized growth chart. The most widely accepted standards are those published by the World Health Organization (WHO) for children from birth up to age 5, and by national health organizations (like the CDC in the US) for older children.

The process involves:

  1. Measuring the child's current weight accurately.
  2. Confirming the child's exact age.
  3. Specifying the child's sex.
  4. Locating the appropriate WHO or CDC growth chart for the child's age and sex.
  5. Finding the child's weight on the vertical axis (Y-axis) and their age on the horizontal axis (X-axis).
  6. Identifying which percentile curve the child's data point falls on. This curve represents the percentage of children in the reference population who weigh less than or equal to that specific weight at that age.

Variables and Interpretation:

The key variables in child weight calculation by age are straightforward measurements:

Variable Meaning Unit Typical Range (for context)
Age The child's age from birth. Months 0 – 240 months (0 – 20 years)
Sex Biological sex of the child. Categorical (Male/Female) Male, Female
Weight The child's measured body mass. Kilograms (kg) Varies significantly by age and sex. Example: 3.5 kg at birth, 10 kg at 1 year, 20 kg at 5 years.
Percentile The child's rank relative to the reference population. A child at the 75th percentile weighs the same as 75% of children their age and sex. % 0 – 100%

The calculation itself isn't a direct formula like y = mx + b, but rather a lookup and interpolation process against predefined WHO/CDC data points. Our calculator performs this lookup to provide the estimated percentile. Understanding child growth monitoring tools is crucial for proper interpretation.

Practical Examples (Real-World Use Cases)

Let's illustrate child weight calculation by age with practical scenarios:

Example 1: A Growing Toddler

Scenario: Sarah's parents are tracking her development. She is 18 months old (18 months), female, and weighs 10.5 kg. They want to know where she stands.

Inputs:

  • Age: 18 months
  • Sex: Female
  • Weight: 10.5 kg

Calculation & Interpretation: Using the WHO growth charts for girls aged 18 months, a weight of 10.5 kg typically falls around the 50th percentile. This indicates Sarah is growing right around the average for her age and sex, which is generally considered healthy. If her weight had been around 8.5 kg, it might have placed her closer to the 5th percentile, prompting a discussion with her pediatrician about ensuring adequate nutrition. Conversely, a weight of 13.0 kg could place her near the 90th percentile, also warranting discussion.

Example 2: An Infant's Weight Gain

Scenario: Baby David is 6 months old (6 months), male, and weighs 7.8 kg. His parents are concerned about his weight gain compared to his birth weight.

Inputs:

  • Age: 6 months
  • Sex: Male
  • Weight: 7.8 kg

Calculation & Interpretation: For a 6-month-old boy, a weight of 7.8 kg typically falls around the 25th percentile according to WHO standards. This means David weighs the same as or less than 25% of 6-month-old boys. While this is within the healthy range, it's on the lower side of the average. His pediatrician would likely review his feeding patterns, overall health, and previous growth measurements. Consistent tracking using child weight calculation by age tools helps ensure he's steadily gaining weight along his individual growth curve. If his previous measurements showed a steep drop in percentiles, further investigation might be needed.

How to Use This Child Weight by Age Calculator

Our Child Weight by Age Calculator is designed for ease of use, providing quick insights into your child's growth percentile. Follow these simple steps:

  1. Enter Child's Age: Input the child's age in months. For example, enter '12' for a 1-year-old, '24' for a 2-year-old, etc. Our calculator supports ages from birth up to 20 years (240 months).
  2. Select Child's Sex: Choose 'Male' or 'Female' from the dropdown menu. This is crucial as growth patterns differ between sexes.
  3. Enter Current Weight: Accurately measure and enter the child's current weight in kilograms (kg). Ensure you use a reliable scale.
  4. Click 'Calculate': Once all fields are populated, press the 'Calculate' button.

How to Read Results:

The calculator will display:

  • Primary Result (Highlighted): This shows the estimated weight percentile for your child's age and sex. For example, '50th Percentile' means your child weighs the same as or less than 50% of children in the reference group. A result between the 5th and 85th percentile is generally considered within the healthy range by many health organizations.
  • Intermediate Values: These confirm the inputs you provided (Weight, Age, Sex) and the standard used (WHO).
  • Growth Chart: A visual representation plotting the child's weight against age, showing relevant WHO standard curves (e.g., 3rd, 15th, 50th, 85th, 97th percentiles). This helps visualize the child's position and trend over time if multiple points are plotted manually.

Decision-Making Guidance:

This calculator is an informational tool, not a substitute for professional medical advice.

  • Normal Range: Generally, percentiles between the 5th and 85th are considered healthy.
  • Lower Percentiles (Below 5th): If your child falls significantly below the 5th percentile, or their growth curve is consistently low, consult your pediatrician to rule out growth faltering or other issues.
  • Higher Percentiles (Above 85th): If your child is consistently above the 85th percentile, especially above the 95th, consult your pediatrician to discuss healthy weight management and screen for potential risks associated with overweight or obesity.
  • Growth Trends: Pay attention to the trend. A child consistently tracking along a single percentile curve is usually a positive sign, even if it's a lower or higher percentile. Sudden jumps or drops in percentile rank warrant a professional evaluation.

Always discuss your child's growth with their healthcare provider for personalized assessment and guidance. Use the 'Copy Results' button to easily share findings or keep a record. For older children, consider using child BMI calculators after age 2.

Key Factors That Affect Child Weight Results

While age and sex are primary inputs, several other factors influence a child's weight and its interpretation relative to growth standards. Understanding these can provide a more holistic view:

  • Genetics: Just like adults, children inherit predispositions for body type and growth rate. A child from a taller or larger-framed family might naturally track higher on growth charts. Genetics dictates potential, but environmental factors determine how that potential is realized.
  • Nutrition and Diet: This is paramount. Adequate intake of calories, protein, vitamins, and minerals is essential for healthy growth. Breast milk or formula provides complete nutrition for infants. As children transition to solids and family meals, the quality and quantity of food directly impact weight gain. Undernutrition leads to weight faltering, while excessive intake of high-calorie, low-nutrient foods can contribute to overweight. Discussing pediatric nutrition guidelines is vital.
  • Physical Activity Levels: Active children tend to have healthier body compositions. Regular play and exercise help build muscle mass and burn calories, contributing to a balanced weight. Sedentary habits, especially excessive screen time, can contribute to weight gain if caloric intake is not adjusted accordingly.
  • Health Status and Illness: Acute illnesses (like gastroenteritis or infections) can temporarily cause weight loss or slowed gain. Chronic conditions (e.g., celiac disease, thyroid issues, metabolic disorders) can significantly impact a child's ability to gain weight or may lead to excessive weight gain. Always consult a doctor if illness affects appetite or weight.
  • Prematurity and Birth Conditions: Premature babies often have different growth trajectories initially. They might have "catch-up" growth periods. Specific medical conditions present at birth can also affect growth patterns, requiring specialized monitoring.
  • Sleep Patterns: Adequate sleep is crucial for growth hormone release and overall metabolic health. Poor sleep quality or insufficient sleep duration has been linked to hormonal imbalances that can affect appetite regulation and potentially contribute to weight issues over time.
  • Socioeconomic Factors: Access to nutritious food, safe environments for play, and healthcare can be influenced by socioeconomic status. These factors indirectly affect a child's ability to achieve optimal growth.

It's the interplay of these factors, alongside genetics, that shapes a child's unique growth journey. The child weight calculation by age tool provides a standardized benchmark, but context is key for proper interpretation.

Frequently Asked Questions (FAQ)

What is the difference between weight-for-age and BMI-for-age? Weight-for-age indicates how a child's weight compares to the median weight for children of the same age and sex. BMI-for-age (Body Mass Index) considers both weight and height relative to age and sex, providing a more comprehensive picture of thinness or overweight status. Weight-for-age is more sensitive to weight changes, while BMI-for-age is better for identifying underweight or overweight conditions, especially in older children. Our calculator focuses on weight-for-age, suitable for infants and toddlers. For older children (typically >2 years), a BMI calculator is recommended. Is it bad if my child is not on the 50th percentile? No, not necessarily. The 50th percentile represents the median, meaning half of healthy children weigh less, and half weigh more. Many children thrive within a wide range of percentiles (e.g., 10th to 90th). The most important factor is that the child follows a consistent growth curve over time and is healthy, active, and meeting developmental milestones. When should I worry about my child's weight? Worry is warranted if your child falls consistently below the 5th percentile, shows signs of failure to thrive (like lethargy, poor muscle tone, developmental delays), or if their growth percentile drops significantly over time. Conversely, consistently tracking above the 95th percentile may indicate a risk of obesity and warrants discussion with a pediatrician. Always consult a healthcare professional if you have concerns. How often should I calculate my child's weight percentile? For infants and young children, regular monitoring is key. Pediatricians typically track growth at well-child visits (e.g., monthly for the first few months, then every few months). For home use, using this calculator periodically (e.g., monthly or quarterly) can help you stay informed between visits, but it should complement, not replace, professional medical assessments. Does the WHO standard apply to all children globally? The WHO growth standards are based on healthy, breastfed children in optimal environments across six countries. They are considered the international reference for assessing growth from birth to 5 years. For older children, the CDC growth charts (or equivalent national standards) are often used. This calculator uses the WHO standard for the applicable age range. What units of measurement does the calculator use? The calculator uses kilograms (kg) for weight and months for age. This aligns with the international standards used by the WHO. Can this calculator predict future weight? No, this calculator does not predict future weight. It provides a snapshot of the child's current growth percentile based on established standards. While growth trends can be observed over time, predicting exact future weight is complex and influenced by numerous factors. What should I do if my child's weight is very different from the 'average'? The first step is always to discuss your observations and concerns with your child's pediatrician or healthcare provider. They can interpret the percentile in the context of your child's overall health, diet, activity, family history, and growth trend. They are best equipped to determine if any intervention is needed.

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Disclaimer: This calculator is for informational purposes only and does not constitute medical advice. Consult with a healthcare professional for any health concerns or before making any decisions related to your child's health.

var WHO_MALE_DATA = { "0": {"p3": 2.5, "p5": 2.6, "p15": 2.9, "p50": 3.6, "p85": 4.3, "p95": 4.8, "p97": 5.0}, "1": {"p3": 3.7, "p5": 3.9, "p15": 4.3, "p50": 5.1, "p85": 6.1, "p95": 6.7, "p97": 7.0}, "2": {"p3": 4.8, "p5": 5.0, "p15": 5.5, "p50": 6.5, "p85": 7.7, "p95": 8.5, "p97": 8.9}, "3": {"p3": 5.7, "p5": 5.9, "p15": 6.5, "p50": 7.7, "p85": 9.1, "p95": 10.1, "p97": 10.5}, "4": {"p3": 6.4, "p5": 6.7, "p15": 7.3, "p50": 8.7, "p85": 10.3, "p95": 11.5, "p97": 12.0}, "5": {"p3": 7.0, "p5": 7.3, "p15": 8.0, "p50": 9.5, "p85": 11.4, "p95": 12.8, "p97": 13.4}, "6": {"p3": 7.5, "p5": 7.8, "p15": 8.5, "p50": 10.2, "p85": 12.3, "p95": 13.9, "p97": 14.6}, "7": {"p3": 7.9, "p5": 8.2, "p15": 9.0, "p50": 10.9, "p85": 13.0, "p95": 14.8, "p97": 15.6}, "8": {"p3": 8.2, "p5": 8.5, "p15": 9.3, "p50": 11.5, "p85": 13.7, "p95": 15.6, "p97": 16.5}, "9": {"p3": 8.5, "p5": 8.8, "p15": 9.6, "p50": 12.0, "p85": 14.3, "p95": 16.3, "p97": 17.3}, "10": {"p3": 8.7, "p5": 9.0, "p15": 9.9, "p50": 12.4, "p85": 14.8, "p95": 17.0, "p97": 18.0}, "11": {"p3": 8.9, "p5": 9.2, "p15": 10.1, "p50": 12.8, "p85": 15.2, "p95": 17.5, "p97": 18.6}, "12": {"p3": 9.0, "p5": 9.3, "p15": 10.3, "p50": 13.1, "p85": 15.6, "p95": 18.0, "p97": 19.0}, "13": {"p3": 9.2, "p5": 9.5, "p15": 10.5, "p50": 13.4, "p85": 16.0, "p95": 18.4, "p97": 19.5}, "14": {"p3": 9.3, "p5": 9.6, "p15": 10.6, "p50": 13.6, "p85": 16.3, "p95": 18.8, "p97": 19.9}, "15": {"p3": 9.4, "p5": 9.7, "p15": 10.7, "p50": 13.8, "p85": 16.5, "p95": 19.1, "p97": 20.2}, "16": {"p3": 9.5, "p5": 9.8, "p15": 10.8, "p50": 14.0, "p85": 16.7, "p95": 19.4, "p97": 20.5}, "17": {"p3": 9.6, "p5": 9.9, "p15": 10.9, "p50": 14.1, "p85": 16.9, "p95": 19.6, "p97": 20.8}, "18": {"p3": 9.7, "p5": 10.0, "p15": 11.0, "p50": 14.3, "p85": 17.1, "p95": 19.8, "p97": 21.0}, "19": {"p3": 9.8, "p5": 10.1, "p15": 11.1, "p50": 14.4, "p85": 17.3, "p95": 20.0, "p97": 21.3}, "20": {"p3": 9.9, "p5": 10.2, "p15": 11.2, "p50": 14.5, "p85": 17.4, "p95": 20.2, "p97": 21.5}, "21": {"p3": 10.0, "p5": 10.3, "p15": 11.3, "p50": 14.6, "p85": 17.6, "p95": 20.4, "p97": 21.7}, "22": {"p3": 10.1, "p5": 10.4, "p15": 11.4, "p50": 14.7, "p85": 17.7, "p95": 20.5, "p97": 21.9}, "23": {"p3": 10.2, "p5": 10.5, "p15": 11.5, "p50": 14.8, "p85": 17.9, "p95": 20.7, "p97": 22.1}, "24": {"p3": 10.3, "p5": 10.6, "p15": 11.6, "p50": 14.9, "p85": 18.0, "p95": 20.8, "p97": 22.2} }; var WHO_FEMALE_DATA = { "0": {"p3": 2.3, "p5": 2.4, "p15": 2.7, "p50": 3.4, "p85": 4.1, "p95": 4.6, "p97": 4.8}, "1": {"p3": 3.4, "p5": 3.6, "p15": 4.0, "p50": 4.7, "p85": 5.6, "p95": 6.3, "p97": 6.6}, "2": {"p3": 4.4, "p5": 4.6, "p15": 5.0, "p50": 5.9, "p85": 7.0, "p95": 7.8, "p97": 8.2}, "3": {"p3": 5.2, "p5": 5.4, "p15": 5.9, "p50": 6.9, "p85": 8.1, "p95": 9.1, "p97": 9.6}, "4": {"p3": 5.8, "p5": 6.1, "p15": 6.6, "p50": 7.8, "p85": 9.2, "p95": 10.3, "p97": 10.8}, "5": {"p3": 6.3, "p5": 6.6, "p15": 7.1, "p50": 8.5, "p85": 10.0, "p95": 11.2, "p97": 11.8}, "6": {"p3": 6.7, "p5": 7.0, "p15": 7.6, "p50": 9.1, "p85": 10.8, "p95": 12.1, "p97": 12.7}, "7": {"p3": 7.0, "p5": 7.3, "p15": 7.9, "p50": 9.6, "p85": 11.4, "p95": 12.8, "p97": 13.5}, "8": {"p3": 7.3, "p5": 7.6, "p15": 8.2, "p50": 10.0, "p85": 12.0, "p95": 13.5, "p97": 14.3}, "9": {"p3": 7.5, "p5": 7.8, "p15": 8.4, "p50": 10.3, "p85": 12.4, "p95": 14.0, "p97": 14.9}, "10": {"p3": 7.6, "p5": 7.9, "p15": 8.5, "p50": 10.5, "p85": 12.7, "p95": 14.4, "p97": 15.3}, "11": {"p3": 7.8, "p5": 8.1, "p15": 8.7, "p50": 10.7, "p85": 12.9, "p95": 14.7, "p97": 15.6}, "12": {"p3": 7.9, "p5": 8.2, "p15": 8.8, "p50": 10.9, "p85": 13.1, "p95": 14.9, "p97": 15.9}, "13": {"p3": 8.0, "p5": 8.3, "p15": 9.0, "p50": 11.0, "p85": 13.3, "p95": 15.1, "p97": 16.1}, "14": {"p3": 8.1, "p5": 8.4, "p15": 9.1, "p50": 11.2, "p85": 13.5, "p95": 15.3, "p97": 16.3}, "15": {"p3": 8.2, "p5": 8.5, "p15": 9.2, "p50": 11.3, "p85": 13.6, "p95": 15.5, "p97": 16.5}, "16": {"p3": 8.3, "p5": 8.6, "p15": 9.3, "p50": 11.4, "p85": 13.7, "p95": 15.6, "p97": 16.7}, "17": {"p3": 8.4, "p5": 8.7, "p15": 9.4, "p50": 11.5, "p85": 13.9, "p95": 15.8, "p97": 16.8}, "18": {"p3": 8.5, "p5": 8.8, "p15": 9.5, "p50": 11.6, "p85": 14.0, "p95": 15.9, "p97": 17.0}, "19": {"p3": 8.5, "p5": 8.8, "p15": 9.5, "p50": 11.7, "p85": 14.1, "p95": 16.1, "p97": 17.1}, "20": {"p3": 8.6, "p5": 8.9, "p15": 9.6, "p50": 11.8, "p85": 14.2, "p95": 16.2, "p97": 17.3}, "21": {"p3": 8.7, "p5": 9.0, "p15": 9.7, "p50": 11.9, "p85": 14.3, "p95": 16.3, "p97": 17.4}, "22": {"p3": 8.7, "p5": 9.0, "p15": 9.7, "p50": 12.0, "p85": 14.4, "p95": 16.4, "p97": 17.5}, "23": {"p3": 8.8, "p5": 9.1, "p15": 9.8, "p50": 12.1, "p85": 14.5, "p95": 16.5, "p97": 17.6}, "24": {"p3": 8.8, "p5": 9.1, "p15": 9.8, "p50": 12.2, "p85": 14.6, "p95": 16.6, "p97": 17.7} }; var MAX_AGE_MONTHS = 240; // 20 years var MAX_WEIGHT_KG = 200; // A generous upper limit for safety var MIN_WEIGHT_KG = 0.1; var MIN_AGE_MONTHS = 0; var chartInstance = null; function getGrowthData(age, sex) { var dataTable = (sex === 'male') ? WHO_MALE_DATA : WHO_FEMALE_DATA; var ageKey = Math.floor(age).toString(); if (dataTable.hasOwnProperty(ageKey)) { return dataTable[ageKey]; } // Handle ages beyond the exact data points by interpolating or using nearest var ages = Object.keys(dataTable).map(Number).sort(function(a, b) { return a – b; }); if (age ages[ages.length – 1]) { // Older than the oldest data point return dataTable[ages[ages.length – 1].toString()]; } // Find surrounding ages for interpolation var lowerAge = ages.filter(function(a) { return a age; }).shift(); if (lowerAge === undefined) return dataTable[ages[0].toString()]; // Should not happen with checks above if (upperAge === undefined) return dataTable[ages[ages.length – 1].toString()]; // Should not happen with checks above var lowerData = dataTable[lowerAge.toString()]; var upperData = dataTable[upperAge.toString()]; var fraction = (age – lowerAge) / (upperAge – lowerAge); var interpolatedData = {}; for (var p in lowerData) { if (lowerData.hasOwnProperty(p)) { interpolatedData[p] = lowerData[p] + fraction * (upperData[p] – lowerData[p]); } } return interpolatedData; } function calculatePercentile(weight, age, sex) { var growthData = getGrowthData(age, sex); if (!growthData) return null; // Data not available for this age/sex combination var percentiles = ["p3", "p5", "p15", "p50", "p85", "p95", "p97"]; var pValues = percentiles.map(function(p) { return growthData[p]; }); // Simple linear interpolation for percentile for (var i = 0; i = weightLower && weight <= weightUpper) { var percentileValue = parseFloat(pLower.substring(1)) + ((weight – weightLower) / (weightUpper – weightLower)) * (parseFloat(pUpper.substring(1)) – parseFloat(pLower.substring(1))); return percentileValue; } } // Handle cases outside the known percentile range if (weight pValues[pValues.length – 1]) return parseFloat(percentiles[percentiles.length – 1].substring(1)) + 1; // Above p97 return null; // Should not be reached if logic is correct } function validateInput(id, min, max, isRequired = true) { var input = document.getElementById(id); var value = parseFloat(input.value); var errorSpan = document.getElementById(id + "Error"); var parentDiv = document.getElementById(id + "Group"); var isValid = true; // Clear previous error errorSpan.textContent = ""; parentDiv.classList.remove("error"); if (isRequired && (input.value.trim() === "" || isNaN(value))) { errorSpan.textContent = "This field is required."; isValid = false; } else if (!isNaN(value)) { if (value max) { errorSpan.textContent = "Value cannot be greater than " + max + "."; isValid = false; } } if (!isValid) { parentDiv.classList.add("error"); } return isValid; } function validateAllInputs() { var validAge = validateInput("age", MIN_AGE_MONTHS, MAX_AGE_MONTHS); var validWeight = validateInput("weight", MIN_WEIGHT_KG, MAX_WEIGHT_KG); // Sex is a select, so it's always valid if present return validAge && validWeight; } function updateChart(age, weight, sex) { var canvas = document.getElementById('growthChart'); var ctx = canvas.getContext('2d'); if (chartInstance) { chartInstance.destroy(); // Destroy previous chart instance } var dataTable = (sex === 'male') ? WHO_MALE_DATA : WHO_FEMALE_DATA; var ages = Object.keys(dataTable).map(Number).sort(function(a, b) { return a – b; }); var chartAges = ages.filter(function(a) { return a >= 0 && a <= MAX_AGE_MONTHS; }); // Limit ages shown on chart var chartData = { labels: chartAges.map(function(a) { return a.toString(); }), datasets: [ { label: 'Child\'s Weight', data: chartAges.map(function(a) { var growthPoints = getGrowthData(a, sex); // Interpolate child's weight at this age for the chart line // This requires knowing the child's growth *trend*, not just one point. // For simplicity, we'll plot the single input point and standard curves. // To show a dynamic line for the child, we'd need historical data. // Here, we'll just plot the *target* percentile line if possible or leave it blank. return null; // Placeholder for dynamic child line if multiple inputs were tracked }), borderColor: '#004a99', backgroundColor: '#004a99', fill: false, pointRadius: 5, pointHoverRadius: 7 } ] }; // Add standard percentile lines var percentilesToAdd = ['p3', 'p50', 'p95']; for (var i = 0; i < percentilesToAdd.length; i++) { var pKey = percentilesToAdd[i]; chartData.datasets.push({ label: pKey.toUpperCase() + ' Percentile', data: chartAges.map(function(a) { var growthPoints = getGrowthData(a, sex); return growthPoints ? growthPoints[pKey] : null; }), borderColor: ['#28a745', '#ffc107', '#dc3545'][i % 3], // Green, Yellow, Red backgroundColor: ['#28a745', '#ffc107', '#dc3545'][i % 3], fill: false, borderDash: [5, 5], pointRadius: 0 }); } // Plot the single child data point var childDataPoint = { x: age, y: weight }; chartData.datasets.push({ label: 'Current Measurement', data: [childDataPoint], borderColor: '#007bff', backgroundColor: '#007bff', pointRadius: 8, pointHoverRadius: 10, type: 'scatter' // Use scatter for a single point }); chartInstance = new Chart(ctx, { type: 'line', // Default type, will be overridden by scatter data: chartData, options: { responsive: true, maintainAspectRatio: false, scales: { x: { title: { display: true, text: 'Age (Months)' }, min: 0, max: MAX_AGE_MONTHS }, y: { title: { display: true, text: 'Weight (kg)' }, min: 0, max: MAX_WEIGHT_KG } }, plugins: { legend: { position: 'top', }, title: { display: true, text: 'WHO Weight-for-Age Growth Chart (Example)' } } } }); } function calculateWeight() { if (!validateAllInputs()) { document.getElementById("noResultsMessage").style.display = "block"; document.getElementById("results").style.display = "none"; return; } var age = parseFloat(document.getElementById('age').value); var sex = document.getElementById('sex').value; var weight = parseFloat(document.getElementById('weight').value); var percentile = calculatePercentile(weight, age, sex); var resultsDiv = document.getElementById('results'); var noResultsMsg = document.getElementById('noResultsMessage'); if (percentile !== null) { document.getElementById('percentileResult').textContent = Math.round(percentile) + "th Percentile"; document.getElementById('resultWeight').textContent = weight.toFixed(1) + " kg"; document.getElementById('resultAge').textContent = age + " Months"; document.getElementById('resultSex').textContent = sex.charAt(0).toUpperCase() + sex.slice(1); resultsDiv.style.display = 'block'; noResultsMsg.style.display = 'none'; // Update chart updateChart(age, weight, sex); } else { // Handle cases where percentile calculation failed (e.g., unsupported age) document.getElementById('percentileResult').textContent = "N/A"; document.getElementById('resultWeight').textContent = weight.toFixed(1) + " kg"; document.getElementById('resultAge').textContent = age + " Months"; document.getElementById('resultSex').textContent = sex.charAt(0).toUpperCase() + sex.slice(1); resultsDiv.style.display = 'block'; noResultsMsg.style.display = 'none'; // Still try to update chart even if percentile is N/A, to show standards updateChart(age, weight, sex); } } function resetForm() { document.getElementById('age').value = 24; document.getElementById('sex').value = 'male'; document.getElementById('weight').value = 12.5; document.getElementById('ageError').textContent = ""; document.getElementById('weightError').textContent = ""; document.getElementById('ageGroup').classList.remove('error'); document.getElementById('weightGroup').classList.remove('error'); document.getElementById("results").style.display = "none"; document.getElementById("noResultsMessage").style.display = "block"; if (chartInstance) { chartInstance.destroy(); chartInstance = null; } // Optionally call calculateWeight() to show default calculation // calculateWeight(); } function copyResults() { var percentileResult = document.getElementById('percentileResult').textContent; var resultWeight = document.getElementById('resultWeight').textContent; var resultAge = document.getElementById('resultAge').textContent; var resultSex = document.getElementById('resultSex').textContent; var standardUsed = document.getElementById('standardUsed').textContent; if (percentileResult === '–') { alert("No results to copy yet. Please calculate first."); return; } var resultsText = "Child Growth Metrics:\n" + "————————–\n" + "Weight Percentile: " + percentileResult + "\n" + "Weight: " + resultWeight + "\n" + "Age: " + resultAge + "\n" + "Sex: " + resultSex + "\n" + "Growth Standard: " + standardUsed + "\n" + "\n" + "Note: This is based on WHO growth standards."; navigator.clipboard.writeText(resultsText).then(function() { alert("Results copied to clipboard!"); }).catch(function(err) { console.error('Failed to copy results: ', err); alert("Failed to copy results. Please copy manually."); }); } // Initial calculation on load (optional, or set default values and calculate) // document.addEventListener('DOMContentLoaded', calculateWeight); // Add event listeners for real-time updates document.getElementById('age').addEventListener('input', calculateWeight); document.getElementById('sex').addEventListener('change', calculateWeight); document.getElementById('weight').addEventListener('input', calculateWeight); // Initial calculation with default values when the page loads document.addEventListener('DOMContentLoaded', function() { calculateWeight(); });

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