Baby Weight Chart Calculator Uk

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Baby Weight Chart Calculator UK

Accurately track and understand your baby's growth on UK centile charts.

Baby Weight Tracker

Enter the baby's age in months (e.g., 3.5 for 3.5 months).
Enter the baby's current weight in kilograms.
Boy Girl Select the baby's sex for appropriate chart comparison.

Your Baby's Growth Analysis

Age: months
Weight: kg
Sex:
Estimated Centile Rank:
Growth Trend Interpretation:
How it works: This calculator uses established UK growth charts (based on WHO standards and UK data) to estimate your baby's weight centile. It compares your baby's age and weight to the average for their sex, indicating where they fall on the growth curve (e.g., 50th centile is the average).
Baby Weight Centiles (UK Average)
Age (Months) Boy – 50th Centile (kg) Girl – 50th Centile (kg) Boy – 90th Centile (kg) Girl – 90th Centile (kg)
Reference UK Baby Weight Data (Approximate 50th and 90th Percentiles)

What is a Baby Weight Chart Calculator UK?

A Baby Weight Chart Calculator UK is a digital tool designed to help parents, caregivers, and healthcare professionals assess a baby's growth trajectory against standard UK growth charts. These charts, often derived from data collected by the UK's National Health Service (NHS) and based on World Health Organization (WHO) growth standards, plot typical weight gain for infants over time, differentiating between sexes. The calculator takes the baby's age and weight, and sometimes sex, as input and outputs an estimated centile or percentile rank. This rank indicates how the baby's weight compares to other babies of the same age and sex in the UK population. For instance, a baby on the 75th centile weighs more than 75% of babies of the same age and sex, but less than 25%.

Who should use it: Primarily, parents and guardians concerned about their baby's feeding, development, and overall health will find this tool invaluable. Health visitors, GPs, paediatricians, and midwives can also use it as a quick reference point during check-ups. It's particularly useful for identifying potential concerns, such as rapid weight gain or slow weight gain, which might warrant further investigation or advice from a healthcare professional. It's important to remember that this Baby Weight Chart Calculator UK is for informational purposes and does not replace professional medical advice.

Common misconceptions: A common misconception is that a baby must be on the 50th centile to be considered "healthy." This is untrue. Babies can be perfectly healthy on much lower or higher centiles, provided they are growing consistently along their own centile line and meeting developmental milestones. Another misconception is that the calculator diagnoses a problem. Instead, it provides a data point that, when interpreted by a qualified professional, can contribute to a comprehensive assessment of the baby's health. Relying solely on a single measurement or a temporary dip/jump in centile can be misleading; consistent tracking is key.

Baby Weight Chart Calculator UK Formula and Mathematical Explanation

The core function of a Baby Weight Chart Calculator UK is to determine the centile rank of a baby's weight for their age and sex. This isn't a simple linear formula but rather an interpolation or lookup within a complex dataset represented by growth charts. These charts are typically generated using statistical models that fit curves to measurements of a large population of healthy infants. The most common models used are the LMS (Lambda-Mu-Sigma) method, which describes the distribution of the data at each age point.

The LMS method estimates three parameters (L, M, S) for each age point:

  • L (Lambda): Represents the skewness of the distribution.
  • M (Mu): Represents the median (50th centile) of the distribution.
  • S (Sigma): Represents the coefficient of variation, related to the spread or variability of the distribution.

Given a baby's weight (W) at a specific age (A), the centile (C) can be calculated using the LMS parameters specific to that age and sex. The formula involves a transformation of the weight W to a Z-score, and then converting this Z-score to a centile rank. The generalized formula for the Z-score (Z) is:

Z = [(W/M)^L - 1] / (L * S)

For cases where L=0, the formula is adjusted using a logarithmic transformation:

Z = ln(W/M) / S

Once the Z-score is calculated, it is converted into a centile (P) using the standard normal cumulative distribution function (Φ). In practice, calculators often use lookup tables or built-in functions that approximate Φ(Z) to find the corresponding centile (e.g., 50th centile corresponds to Z=0, 3rd centile to Z ≈ -1.88, 97th centile to Z ≈ 1.88).

Variables:

Variable Meaning Unit Typical Range
A (Age) Baby's age Months 0.1 – 24
W (Weight) Baby's measured weight Kilograms (kg) 1.5 – 15
Sex Baby's sex Categorical (Boy/Girl) Boy, Girl
L, M, S LMS parameters from reference data Varies (L: dimensionless, M: kg, S: dimensionless) Population-specific
Z (Z-score) Standardized score indicating deviation from the median Dimensionless Approx. -3 to +3
C (Centile) Baby's position on the growth chart Percent (%) 0 – 100

Practical Examples (Real-World Use Cases)

Understanding how to interpret the results from a Baby Weight Chart Calculator UK is crucial. Here are two practical examples:

Example 1: Healthy Weight Gain

Scenario: Sarah's son, Leo, is 6 months and 2 weeks old (approximately 6.5 months). He was born weighing 3.2kg. Today, he weighs 7.8kg. Sarah is Eager to see how he's doing on the UK charts.

Inputs:

  • Baby's Age: 6.5 months
  • Baby's Weight: 7.8 kg
  • Baby's Sex: Boy

Calculator Output:

  • Estimated Centile Rank: 60th Centile
  • Growth Trend Interpretation: Steady Growth

Interpretation: Leo is weighing more than 60% of baby boys his age in the UK. His weight is tracking consistently and healthily along a centile curve. This suggests good feeding and development, aligning well with typical growth patterns for boys.

Example 2: Below Average Weight Concerns

Scenario: Mark and Lisa's daughter, Emily, is 4 months old. She weighed 2.9kg at birth and now weighs 5.1kg. They are a bit worried because she seems smaller than some other babies she meets.

Inputs:

  • Baby's Age: 4 months
  • Baby's Weight: 5.1 kg
  • Baby's Sex: Girl

Calculator Output:

  • Estimated Centile Rank: 15th Centile
  • Growth Trend Interpretation: Consistently below average, but potentially steady.

Interpretation: Emily's weight is around the 15th centile for baby girls her age in the UK. This means she weighs more than 15% of babies her age but less than 85%. While this is below the 50th percentile, it's not necessarily a cause for alarm if her growth has been consistent on this centile line since birth and she is otherwise meeting developmental milestones and seems well. However, it warrants discussion with a health visitor or GP to ensure adequate feeding and rule out any underlying issues. If Emily has recently dropped centiles, that would be a greater concern than consistently being on a lower centile.

How to Use This Baby Weight Chart Calculator UK

Using this Baby Weight Chart Calculator UK is straightforward and designed for ease of use by parents and guardians. Follow these simple steps:

  1. Enter Baby's Age: Input the baby's exact age in months into the 'Baby's Age (Months)' field. You can use decimals for accuracy (e.g., 1.5 for one and a half months).
  2. Enter Baby's Weight: Accurately measure your baby's weight in kilograms (kg) and enter it into the 'Baby's Weight (kg)' field. Ensure you are using a reliable baby scale for accuracy.
  3. Select Baby's Sex: Choose 'Boy' or 'Girl' from the dropdown menu. This is important as growth charts differ slightly between sexes.
  4. Calculate: Click the 'Calculate Centile' button. The calculator will process your inputs using UK growth chart data.

How to Read Results:

  • Primary Result (Estimated Centile Rank): This is the most important number. It tells you the percentage of babies of the same age and sex that your baby weighs less than. For example, the 50th centile represents the average weight.
  • Growth Trend Interpretation: This provides a brief assessment (e.g., "Steady Growth," "Consider Review") based on the calculated centile and potentially historical data if available (though this simple calculator focuses on a single point). A steady trend, regardless of the centile, is generally positive.
  • Table and Chart: The table and chart provide visual context. The table shows approximate weights for key centiles (like 50th and 90th) at different ages. The chart visually plots your baby's position against these reference lines.

Decision-Making Guidance:

  • Steady Growth is Key: Look for consistency. If your baby stays roughly on the same centile line over several measurements, this is usually a sign of healthy growth, even if it's a lower or higher centile.
  • Sudden Drops or Rises: A significant jump or drop across centile lines might warrant a conversation with your health visitor or GP.
  • Baby's Well-being: Always consider your baby's overall health. Are they alert, feeding well, producing wet/dirty nappies, and meeting developmental milestones? These are crucial indicators alongside weight.
  • Professional Advice: This calculator is a guide. Always consult with your healthcare provider for personalised advice regarding your baby's growth and health. They have the expertise to interpret these measurements in the broader context of your baby's individual circumstances. For more insights, explore our related tools.

Key Factors That Affect Baby Weight Chart Results

While the Baby Weight Chart Calculator UK provides a snapshot based on age and weight, several underlying factors influence these measurements and their interpretation. Understanding these nuances helps in appreciating the data:

  1. Genetics and Parental Build: Just like adults, babies inherit genetic predispositions. If both parents are tall or larger-framed, their baby might naturally trend towards higher centiles. Conversely, smaller parents might have babies who trend lower. This is a primary determinant of where a baby sits on the chart.
  2. Feeding Type and Volume: Breastfed babies and formula-fed babies can have different weight gain patterns. Exclusively breastfed babies might initially gain weight faster in the early months but can sometimes plateau or grow more slowly on higher centiles later compared to some formula-fed babies. Adequacy of milk intake is crucial for all feeding types.
  3. Prematurity and Gestational Age: Babies born prematurely are often assessed using corrected age, especially in the first couple of years. If a baby was born significantly early, their weight might be compared to charts for their corrected age rather than their chronological age to provide a more accurate picture of their developmental progress. Our calculator uses chronological age.
  4. Health Conditions and Illnesses: Underlying medical conditions, even common ones like a cold or tummy bug, can temporarily affect a baby's weight gain or even lead to temporary weight loss. Chronic conditions can have a more sustained impact on growth trajectories.
  5. Early Introduction of Solids: While typically introduced around six months, the timing and type of solid foods can influence weight gain, especially once a baby is consuming significant amounts of calories from solids in addition to milk.
  6. Measurement Accuracy and Frequency: The accuracy of the weight measurement itself is vital. Using calibrated scales and measuring at similar times (e.g., before a feed) can improve consistency. Moreover, single measurements are less informative than tracking a baby's growth over time. Consistent tracking along a centile line is more important than the specific centile number at one point.
  7. Hydration Levels: A baby's hydration status at the time of weighing can slightly impact the reading. Dehydration, for instance, can lead to a lower weight reading.

Frequently Asked Questions (FAQ)

Q1: What is the most important number on the baby weight chart?

A1: The most crucial aspect is the trend. While the centile rank (e.g., 25th, 50th, 75th) shows where your baby is *now* relative to others, seeing if they are consistently growing along their own centile line over time is more indicative of healthy development than hitting a specific centile.

Q2: My baby is on the 3rd centile. Is this bad?

A2: Not necessarily. The 3rd centile is the lower end of the typical range. If your baby has always been around this centile and is otherwise healthy, alert, meeting milestones, and gaining weight steadily, it might just be their natural growth pattern. However, it's always recommended to discuss this with your health visitor or GP.

Q3: My baby dropped a centile line. Should I be worried?

A3: A single drop might not be significant, but a consistent downward trend across multiple measurements could indicate a need for review. It's important to look at the overall pattern and discuss any concerns with a healthcare professional. Factors like illness or changes in feeding could be temporary causes.

Q4: Does breastfeeding affect centile position?

A4: Yes, sometimes. Many exclusively breastfed babies gain weight rapidly in the first few months, potentially crossing centiles upwards, and then may settle onto a lower centile (e.g., 25th-50th) compared to some formula-fed babies. This is normal as long as the baby is thriving.

Q5: How often should I measure my baby's weight?

A5: Regular weigh-ins are typically done by healthcare professionals during routine check-ups (e.g., 6-8 weeks, 4 months, 8 months, 1 year). For home monitoring, avoid daily weigh-ins as this can cause unnecessary anxiety. Once every few weeks or monthly can be sufficient, especially if you are tracking a trend.

Q6: Can I use this calculator for premature babies?

A6: This calculator is designed for full-term babies using chronological age. For premature babies, it's generally recommended to use their 'corrected age' (age from their original due date) for growth assessments, especially during the first 1-2 years. Consult your paediatrician for the most accurate assessment method for premature infants.

Q7: Does length/height also matter for growth assessment?

A7: Absolutely. Weight is just one aspect of growth. Height (or length) and head circumference are also measured and plotted on corresponding charts. Doctors look at the 'Weight-for-Age', 'Height-for-Age', and 'Weight-for-Height' charts, as well as the baby's head circumference, to get a complete picture of their growth and development.

Q8: What are the UK growth charts based on?

A8: UK growth charts used by the NHS are largely based on the World Health Organization (WHO) 2006 growth standards for children from birth to 5 years, with adaptations and supplementary data specific to the UK population to ensure relevance and accuracy for UK infants.

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var chartInstance = null; // Global variable to hold chart instance // Reference data based on UK WHO-based growth charts (approximate values for demonstration) // These are simplified for the calculator; actual charts are complex curves. var ukGrowthData = { boy: { // Age in months: { centile_3, centile_50, centile_90 } in kg 0: { median: 3.2, p3: 2.4, p90: 4.4 }, 1: { median: 4.5, p3: 3.3, p90: 5.8 }, 2: { median: 5.5, p3: 4.1, p90: 7.1 }, 3: { median: 6.3, p3: 4.7, p90: 8.1 }, 4: { median: 6.9, p3: 5.1, p90: 8.9 }, 5: { median: 7.4, p3: 5.5, p90: 9.6 }, 6: { median: 7.8, p3: 5.8, p90: 10.2 }, 7: { median: 8.1, p3: 6.0, p90: 10.7 }, 8: { median: 8.4, p3: 6.2, p90: 11.1 }, 9: { median: 8.6, p3: 6.3, p90: 11.4 }, 10: { median: 8.8, p3: 6.5, p90: 11.7 }, 11: { median: 9.0, p3: 6.6, p90: 12.0 }, 12: { median: 9.1, p3: 6.7, p90: 12.2 }, 18: { median: 10.0, p3: 7.3, p90: 13.5 }, 24: { median: 10.8, p3: 7.8, p90: 14.7 } }, girl: { // Age in months: { centile_3, centile_50, centile_90 } in kg 0: { median: 2.9, p3: 2.1, p90: 4.1 }, 1: { median: 4.1, p3: 3.0, p90: 5.4 }, 2: { median: 5.0, p3: 3.7, p90: 6.6 }, 3: { median: 5.7, p3: 4.3, p90: 7.5 }, 4: { median: 6.3, p3: 4.7, p90: 8.2 }, 5: { median: 6.7, p3: 5.0, p90: 8.8 }, 6: { median: 7.1, p3: 5.3, p90: 9.3 }, 7: { median: 7.4, p3: 5.5, p90: 9.7 }, 8: { median: 7.6, p3: 5.7, p90: 10.1 }, 9: { median: 7.8, p3: 5.8, p90: 10.4 }, 10: { median: 8.0, p3: 6.0, p90: 10.7 }, 11: { median: 8.1, p3: 6.1, p90: 10.9 }, 12: { median: 8.3, p3: 6.2, p90: 11.1 }, 18: { median: 9.2, p3: 6.8, p90: 12.3 }, 24: { median: 9.9, p3: 7.3, p90: 13.3 } } }; function getCentileData(age, sex) { var dataSet = ukGrowthData[sex]; if (!dataSet) return null; var ages = Object.keys(dataSet).map(Number).sort(function(a, b) { return a – b; }); var lowerAge = ages[0]; var upperAge = ages[ages.length – 1]; if (age upperAge) age = upperAge; var lowerIndex = ages.findIndex(function(a) { return a >= age; }); if (ages[lowerIndex] === age) { return dataSet[age]; } else { var age1 = ages[lowerIndex]; var age2 = ages[lowerIndex – 1]; var data1 = dataSet[age1]; var data2 = dataSet[age2]; if (!data1 || !data2) return data1 || data2; // Fallback var fraction = (age – age2) / (age1 – age2); return { p3: data2.p3 + fraction * (data1.p3 – data2.p3), median: data2.median + fraction * (data1.median – data2.median), p90: data2.p90 + fraction * (data1.p90 – data2.p90) }; } } function calculateWeightCentile() { var ageMonths = parseFloat(document.getElementById('babyAgeMonths').value); var weightKg = parseFloat(document.getElementById('babyWeightKg').value); var sex = document.getElementById('babySex').value; // Clear previous errors document.getElementById('babyAgeMonthsError').textContent = "; document.getElementById('babyWeightKgError').textContent = "; var isValid = true; if (isNaN(ageMonths) || ageMonths <= 0) { document.getElementById('babyAgeMonthsError').textContent = 'Please enter a valid age in months.'; isValid = false; } if (isNaN(weightKg) || weightKg <= 0) { document.getElementById('babyWeightKgError').textContent = 'Please enter a valid weight in kg.'; isValid = false; } if (!isValid) { return; } var centileData = getCentileData(ageMonths, sex); if (!centileData) { document.getElementById('primaryResult').textContent = 'Data unavailable for this age/sex.'; return; } var medianWeight = centileData.median; var p3Weight = centileData.p3; var p90Weight = centileData.p90; // Simple approximation: Assume a distribution for centile calculation // A more accurate method uses LMS parameters and Z-scores, but this is a pragmatic approximation var estimatedCentile = 50; // Default to median if (weightKg p90Weight) { estimatedCentile = 90; } else { // Linear interpolation between known centiles for approximation if (weightKg < medianWeight) { estimatedCentile = 3 + ((weightKg – p3Weight) / (medianWeight – p3Weight)) * 47; // Interpolate between 3rd and 50th } else { estimatedCentile = 50 + ((weightKg – medianWeight) / (p90Weight – medianWeight)) * 40; // Interpolate between 50th and 90th } } estimatedCentile = Math.max(0, Math.min(100, estimatedCentile)); // Clamp between 0 and 100 var interpretation = "Steady Growth"; if (estimatedCentile < 10) { interpretation = "Consistently below average, monitor closely."; } else if (estimatedCentile 75) { interpretation = "Above average, generally healthy."; } else if (estimatedCentile > 90) { interpretation = "Consistently above average, monitor closely."; } document.getElementById('primaryResult').textContent = Math.round(estimatedCentile) + 'th Centile'; document.getElementById('resultAge').textContent = ageMonths.toFixed(1); document.getElementById('resultWeight').textContent = weightKg.toFixed(2); document.getElementById('resultSex').textContent = sex.charAt(0).toUpperCase() + sex.slice(1); document.getElementById('estimatedCentile').textContent = Math.round(estimatedCentile) + 'th'; document.getElementById('growthInterpretation').textContent = interpretation; updateChart(ageMonths, weightKg, sex, centileData); updateTable(); } function updateTable() { var tableBody = document.querySelector('#tableContainer table tbody'); tableBody.innerHTML = "; // Clear existing rows var agePoints = [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 18, 24]; var boysData = ukGrowthData.boy; var girlsData = ukGrowthData.girl; agePoints.forEach(function(age) { var boysRow = getCentileData(age, 'boy'); var girlsRow = getCentileData(age, 'girl'); var row = document.createElement('tr'); row.innerHTML = '' + (age === 0 ? '24m' : age + 'm') + '' + '' + (boysRow ? boysRow.median.toFixed(2) : '-') + '' + '' + (girlsRow ? girlsRow.median.toFixed(2) : '-') + '' + '' + (boysRow ? boysRow.p90.toFixed(2) : '-') + '' + '' + (girlsRow ? girlsRow.p90.toFixed(2) : '-') + ''; tableBody.appendChild(row); }); } function updateChart(currentAge, currentWeight, sex, referenceData) { var ctx = document.getElementById('weightChart').getContext('2d'); // Destroy previous chart instance if it exists if (chartInstance) { chartInstance.destroy(); } // Prepare data for chart var ages = [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24]; var medianSeries = []; var p3Series = []; var p90Series = []; var userSeries = []; ages.forEach(function(age) { var data = getCentileData(age, sex); if (data) { medianSeries.push({ x: age, y: data.median }); p3Series.push({ x: age, y: data.p3 }); p90Series.push({ x: age, y: data.p90 }); } }); // Add current baby data point userSeries.push({ x: currentAge, y: currentWeight, label: 'Your Baby' }); // Find the closest median and centile for the current baby for label display var currentMedianData = getCentileData(currentAge, sex); var currentCentile = 50; // Default if(currentMedianData) { var weight = currentWeight; var median = currentMedianData.median; var p3 = currentMedianData.p3; var p90 = currentMedianData.p90; if (weight p90) { currentCentile = 90; } else { if (weight < median) { currentCentile = 3 + ((weight – p3) / (median – p3)) * 47; } else { currentCentile = 50 + ((weight – median) / (p90 – median)) * 40; } } currentCentile = Math.max(0, Math.min(100, currentCentile)); } chartInstance = new Chart(ctx, { type: 'line', data: { datasets: [ { label: 'Median Weight (' + sex.charAt(0).toUpperCase() + sex.slice(1) + ')', data: medianSeries, borderColor: 'rgba(0, 74, 153, 0.8)', // Primary color borderWidth: 2, fill: false, tension: 0.1, pointRadius: 0 }, { label: '3rd Centile (' + sex.charAt(0).toUpperCase() + sex.slice(1) + ')', data: p3Series, borderColor: 'rgba(40, 167, 69, 0.5)', // Success color, lighter borderWidth: 1, fill: false, tension: 0.1, pointRadius: 0 }, { label: '90th Centile (' + sex.charAt(0).toUpperCase() + sex.slice(1) + ')', data: p90Series, borderColor: 'rgba(220, 53, 69, 0.5)', // Error color, lighter borderWidth: 1, fill: false, tension: 0.1, pointRadius: 0 }, { label: 'Your Baby (' + Math.round(currentCentile) + 'th %)', data: userSeries, borderColor: 'rgba(255, 165, 0, 1)', // Orange backgroundColor: 'rgba(255, 165, 0, 1)', borderWidth: 2, fill: false, tension: 0, pointRadius: 6, pointHoverRadius: 8 } ] }, options: { responsive: true, maintainAspectRatio: true, scales: { x: { type: 'linear', position: 'bottom', title: { display: true, text: 'Age (Months)' }, min: 0, max: 24, ticks: { stepSize: 2 } }, y: { title: { display: true, text: 'Weight (kg)' }, min: 1, // Adjust min based on typical baby weights max: 15 // Adjust max based on typical baby weights } }, plugins: { tooltip: { callbacks: { label: function(context) { var label = context.dataset.label || ''; if (label) { label += ': '; } if (context.parsed.y !== null) { label += context.parsed.y.toFixed(2) + ' kg'; } return label; } } }, legend: { position: 'top', } } } }); } function resetCalculator() { document.getElementById('babyAgeMonths').value = 3; document.getElementById('babyWeightKg').value = 6.5; document.getElementById('babySex').value = 'boy'; document.getElementById('babyAgeMonthsError').textContent = ''; document.getElementById('babyWeightKgError').textContent = ''; document.getElementById('primaryResult').textContent = '–'; document.getElementById('resultAge').textContent = '–'; document.getElementById('resultWeight').textContent = '–'; document.getElementById('resultSex').textContent = '–'; document.getElementById('estimatedCentile').textContent = '–'; document.getElementById('growthInterpretation').textContent = '–'; if (chartInstance) { chartInstance.destroy(); chartInstance = null; } document.getElementById('weightChart').getContext('2d').clearRect(0, 0, document.getElementById('weightChart').width, document.getElementById('weightChart').height); // Optionally, recalculate with defaults calculateWeightCentile(); } function copyResults() { var primaryResult = document.getElementById('primaryResult').textContent; var resultAge = document.getElementById('resultAge').textContent; var resultWeight = document.getElementById('resultWeight').textContent; var resultSex = document.getElementById('resultSex').textContent; var estimatedCentile = document.getElementById('estimatedCentile').textContent; var interpretation = document.getElementById('growthInterpretation').textContent; var assumptions = "Baby's Age: " + resultAge + " months\n" + "Baby's Weight: " + resultWeight + " kg\n" + "Baby's Sex: " + resultSex + "\n"; var resultsText = "Baby Growth Analysis:\n" + "——————–\n" + "Estimated Centile Rank: " + primaryResult + "\n" + "Interpretation: " + interpretation + "\n\n" + "Key Details:\n" + "Age: " + resultAge + " months\n" + "Weight: " + resultWeight + " kg\n" + "Sex: " + resultSex + "\n\n" + "Assumptions:\n" + "This calculation is based on UK growth chart data and may differ from specific clinical assessments."; // Use the Clipboard API navigator.clipboard.writeText(resultsText).then(function() { // Optional: Provide feedback to the user var originalText = document.querySelector('.copy-btn').textContent; document.querySelector('.copy-btn').textContent = 'Copied!'; setTimeout(function() { document.querySelector('.copy-btn').textContent = originalText; }, 2000); }).catch(function(err) { console.error('Could not copy text: ', err); // Fallback for older browsers or if permission denied alert('Could not copy results. Please copy manually.'); }); } // Initial calculation and table population on load window.onload = function() { calculateWeightCentile(); updateTable(); };

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