Birth Weight Calculator Chinese

Chinese Birth Weight Calculator – Predict Baby's Weight :root { –primary-color: #004a99; –success-color: #28a745; –background-color: #f8f9fa; –text-color: #333; –border-color: #ccc; –card-background: #ffffff; –error-color: #dc3545; } body { font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif; background-color: var(–background-color); color: var(–text-color); line-height: 1.6; margin: 0; padding: 0; display: flex; flex-direction: column; align-items: center; min-height: 100vh; } .container { width: 100%; max-width: 960px; margin: 20px auto; padding: 20px; background-color: var(–card-background); border-radius: 8px; box-shadow: 0 4px 15px rgba(0, 0, 0, 0.1); display: flex; flex-direction: column; align-items: center; } h1, h2, h3 { color: var(–primary-color); text-align: center; margin-bottom: 1.5em; } h2 { font-size: 1.8em; } h3 { font-size: 1.4em; margin-top: 1.5em; margin-bottom: 1em; } .calculator-wrapper { width: 100%; display: flex; flex-direction: column; align-items: center; 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Chinese Birth Weight Calculator

Estimate your baby's potential birth weight using our specialized Chinese Birth Weight Calculator. Understand the key factors influencing fetal growth.

Birth Weight Estimation

Typically 37-42 weeks at birth.
Enter mother's height in centimeters (e.g., 165 cm).
Enter mother's weight before pregnancy in kilograms (e.g., 55 kg).
Enter mother's age at time of birth (e.g., 28 years).
Total number of previous deliveries (e.g., 1 for first birth).
No Yes
Select 'Yes' if mother has diabetes.
No Yes
Select 'Yes' if mother smoked during pregnancy.

Estimated Birth Weight

Predicted Weight
— kg
Growth Percentile (Estimated)
— %
Potential Range (95% CI)
— kg to — kg
Reference Weight (Average)
— kg
Formula Used: This calculator uses a regression-based model adapted for common factors influencing birth weight in Chinese populations. It incorporates gestational age, maternal anthropometrics (height, pre-pregnancy weight), maternal age, parity, and lifestyle factors like diabetes and smoking. The model estimates the expected fetal growth curve and predicts the weight at term, along with a confidence interval.
Fetal Growth Trend: Predicted Weight vs. Average for Gestational Age
Input Variables and Their Impact
Variable Meaning Unit Typical Range (in Model) Impact Direction
Gestational Age Duration of pregnancy Weeks 20 – 42 Positive (longer duration generally means higher weight)
Maternal Height Mother's height cm 100 – 250 Positive (taller mothers tend to have larger babies)
Maternal Pre-pregnancy Weight Mother's weight before pregnancy kg 30 – 200 Positive (higher weight generally means higher birth weight)
Maternal Age Mother's age at birth Years 15 – 50 Complex (can be slightly positive or negative depending on age group)
Parity Number of previous births Count 0 – 10 Slightly Positive (subsequent babies may be slightly heavier)
Maternal Diabetes Presence of diabetes Binary (0/1) 0 or 1 Strongly Positive (significantly increases birth weight)
Maternal Smoking Smoking during pregnancy Binary (0/1) 0 or 1 Negative (significantly decreases birth weight)

What is a Chinese Birth Weight Calculator?

A Chinese Birth Weight Calculator is a specialized online tool designed to estimate the probable weight of a newborn baby, with a focus on factors relevant to the Chinese population and genetic predispositions often observed within East Asian demographics. Unlike generic calculators, this tool may incorporate statistical data and growth curves derived from studies conducted in China or on Chinese populations globally. It helps expectant parents and healthcare providers gain insight into fetal growth by inputting various maternal and fetal health indicators.

Who Should Use It?

This calculator is primarily intended for:

  • Expecting Parents: To satisfy curiosity about their baby's development and to proactively understand potential growth patterns.
  • Healthcare Professionals: Obstetricians, midwives, and sonographers can use it as a supplementary tool to assess fetal well-being, particularly in regions where population-specific growth charts are utilized.
  • Researchers: Studying fetal growth trends and the impact of various factors on birth weight within specific ethnic groups.

Common Misconceptions

It's crucial to understand that any birth weight calculator provides an *estimate*, not a definitive prediction. Common misconceptions include:

  • Guaranteed Accuracy: The calculator is based on statistical averages and cannot account for every unique biological variation.
  • Medical Diagnosis: It is not a substitute for professional medical advice, ultrasounds, or diagnostic tests.
  • Determinism: A predicted weight does not predetermine the baby's health status. Many factors contribute to a healthy baby beyond weight.
The goal of a Chinese Birth Weight Calculator is to offer a probability-based estimation to aid understanding and discussions with healthcare providers.

{primary_keyword} Formula and Mathematical Explanation

The underlying principle of a Chinese Birth Weight Calculator relies on multiple regression analysis. This statistical technique identifies relationships between several independent variables (maternal and fetal factors) and a dependent variable (birth weight). The formula can be generalized as follows:

Estimated Birth Weight (kg) = β₀ + (β₁ * Gestational Age) + (β₂ * Maternal Height) + (β₃ * Maternal Weight) + (β₄ * Maternal Age) + (β₅ * Parity) + (β₆ * Diabetes) + (β₇ * Smoking) + … + ε

Where:

  • β₀ is the intercept (a baseline value when all other variables are zero).
  • β₁, β₂, …, β₇ are the regression coefficients. These numbers represent the average change in birth weight for a one-unit increase in the corresponding variable, holding all other variables constant. These coefficients are derived from statistical analysis of large datasets, often specific to the target population (e.g., Chinese mothers).
  • Gestational Age, Maternal Height, Maternal Weight, Maternal Age, Parity are continuous variables.
  • Diabetes and Smoking are typically dummy variables (0 for No, 1 for Yes).
  • ε represents the error term, accounting for variability not explained by the included variables.

Advanced calculators might also incorporate factors like fetal measurements (e.g., abdominal circumference, femur length) if available from an ultrasound, and may use population-specific growth charts to estimate a percentile.

Variables Table

Variable Meaning Unit Typical Range
Gestational Age Number of weeks completed since the first day of the last menstrual period. Weeks 20 – 42
Maternal Height The height of the mother. Taller mothers often have larger pelvic dimensions and may support larger babies. Centimeters (cm) 100 – 250 cm
Maternal Pre-pregnancy Weight The mother's weight before conceiving. Higher pre-pregnancy weight is generally associated with higher birth weight. Kilograms (kg) 30 – 200 kg
Maternal Age The age of the mother at the time of delivery. Maternal age can influence birth weight, with risks potentially increasing at both very young and advanced maternal ages. Years 15 – 50 years
Parity The number of times a mother has given birth. First-born babies (primiparity) may sometimes be smaller than subsequent siblings (multiparity). Count 0 – 10+
Maternal Diabetes Indicates the presence of pre-existing or gestational diabetes. Diabetes often leads to macrosomia (larger than average baby). Binary (0 = No, 1 = Yes) 0 or 1
Maternal Smoking Indicates if the mother smoked during pregnancy. Smoking is a significant risk factor for Intrauterine Growth Restriction (IUGR) and lower birth weight. Binary (0 = No, 1 = Yes) 0 or 1

Practical Examples (Real-World Use Cases)

Example 1: A Typical Pregnancy

Scenario: Li Wei is 30 years old, 168 cm tall, and weighed 58 kg before pregnancy. She is 39 weeks pregnant, has had one previous birth (parity = 1), does not have diabetes, and does not smoke.

Inputs:

  • Gestational Age: 39 weeks
  • Maternal Height: 168 cm
  • Maternal Pre-pregnancy Weight: 58 kg
  • Maternal Age: 30 years
  • Parity: 1
  • Diabetes: No (0)
  • Smoking: No (0)

Calculator Output (Illustrative):

  • Predicted Birth Weight: 3.45 kg
  • Growth Percentile (Estimated): 55%
  • Potential Range (95% CI): 3.10 kg to 3.80 kg
  • Reference Weight (Average for 39 weeks): 3.30 kg

Interpretation: Li Wei's baby is estimated to be of average size for its gestational age, falling around the 55th percentile. This suggests healthy fetal growth within the expected range for her demographic and pregnancy characteristics.

Example 2: Factors Suggesting Higher Birth Weight

Scenario: Chen Mei is 25 years old, 160 cm tall, and weighed 70 kg before pregnancy. She is 40 weeks pregnant, has had no previous births (parity = 0), has been diagnosed with gestational diabetes, and does not smoke.

Inputs:

  • Gestational Age: 40 weeks
  • Maternal Height: 160 cm
  • Maternal Pre-pregnancy Weight: 70 kg
  • Maternal Age: 25 years
  • Parity: 0
  • Diabetes: Yes (1)
  • Smoking: No (0)

Calculator Output (Illustrative):

  • Predicted Birth Weight: 4.10 kg
  • Growth Percentile (Estimated): 88%
  • Potential Range (95% CI): 3.75 kg to 4.45 kg
  • Reference Weight (Average for 40 weeks): 3.50 kg

Interpretation: Chen Mei's baby is estimated to be on the larger side, falling around the 88th percentile. The higher maternal pre-pregnancy weight and the presence of gestational diabetes are significant factors contributing to this prediction. This suggests the possibility of macrosomia, and her healthcare provider may monitor this closely.

How to Use This Chinese Birth Weight Calculator

Using our Chinese Birth Weight Calculator is straightforward. Follow these steps for an accurate estimation:

Step-by-Step Instructions

  1. Gather Information: Collect accurate details about the pregnancy:
    • Gestational Age (in weeks)
    • Maternal Height (in cm)
    • Maternal Pre-pregnancy Weight (in kg)
    • Maternal Age (at delivery)
    • Parity (number of previous births)
    • Status of Maternal Diabetes (Yes/No)
    • Status of Maternal Smoking (Yes/No)
  2. Input Data: Enter each piece of information into the corresponding field in the calculator. Ensure you use the correct units as specified (e.g., cm for height, kg for weight).
  3. View Results: Click the "Calculate Weight" button. The estimated birth weight, growth percentile, potential weight range, and a reference average weight will be displayed instantly.
  4. Reset or Copy: Use the "Reset" button to clear the fields and start over with new data. Use the "Copy Results" button to save or share the calculated figures.

How to Read Results

  • Predicted Weight: This is the calculator's best estimate of your baby's weight at birth.
  • Growth Percentile: This indicates how your baby's estimated weight compares to other babies of the same gestational age and sex (if applicable) within the reference population. For example, the 50th percentile is the average. A baby in the 90th percentile is larger than 90% of babies, while a baby in the 10th percentile is smaller than 90% of babies.
  • Potential Range (95% CI): This shows the likely range within which the baby's actual birth weight is expected to fall, with 95% confidence.
  • Reference Weight (Average): This is the average birth weight for the specified gestational age, based on the population data used by the calculator.

Decision-Making Guidance

The results should be discussed with your healthcare provider. They can help interpret the numbers in the context of your specific pregnancy and overall health. Significant deviations from the average or predictions of very large (macrosomia) or very small (low birth weight) babies may warrant further monitoring or specific medical advice. Remember, this tool is for informational purposes and complements, not replaces, professional medical assessment. Consider exploring related tools for a broader perspective on pregnancy health.

Key Factors That Affect Chinese Birth Weight Results

Several factors significantly influence the accuracy and outcome of a Chinese Birth Weight Calculator. Understanding these can provide a more nuanced view of fetal growth:

  1. Genetics and Ethnicity: As this calculator is tailored for the Chinese population, genetic factors inherent to East Asian ethnicities play a role. These can influence baseline fetal growth potential and skeletal structure compared to other ethnic groups.
  2. Maternal Nutrition: Adequate intake of essential nutrients (folate, iron, protein, calcium) is crucial for fetal development. Malnutrition can lead to lower birth weights (Intrauterine Growth Restriction – IUGR), while excessive weight gain, especially in mothers with diabetes, can lead to macrosomia.
  3. Maternal Health Conditions: Beyond diabetes, conditions like hypertension (preeclampsia), thyroid issues, and infections during pregnancy can significantly impact fetal growth and birth weight.
  4. Placental Function: The placenta's efficiency in transferring nutrients and oxygen from mother to baby is paramount. Issues like placental insufficiency can restrict fetal growth, leading to lower birth weights.
  5. Socioeconomic Factors: Access to prenatal care, quality of nutrition, stress levels, and environmental exposures, often linked to socioeconomic status, can indirectly affect fetal growth and birth weight outcomes. Better access to healthcare typically leads to better monitoring and management of pregnancy complications.
  6. Fetal Sex: While not included in this basic version, fetal sex can influence birth weight. On average, male infants tend to be slightly heavier than female infants at birth across most populations.
  7. Uterine Capacity: The size and shape of the mother's uterus can influence how much space the baby has to grow.
  8. Previous Pregnancy Outcomes: A history of delivering babies with low birth weight or macrosomia can sometimes indicate underlying maternal or fetal factors that might recur. This is partly captured by 'Parity' but more specific history can be informative.

Frequently Asked Questions (FAQ)

Q1: How accurate is the Chinese Birth Weight Calculator?

A: The accuracy depends on the quality of the data used to build the model and the completeness of the input information. It provides an estimate based on statistical probabilities and should not be considered definitive. Factors unique to your pregnancy might cause the actual weight to differ.

Q2: Can this calculator predict if my baby will be healthy?

A: No, this calculator estimates weight only. Birth weight is one indicator of fetal development, but overall health depends on many factors, including genetics, prenatal care, and postnatal care. Consult your doctor for health assessments.

Q3: What is considered a normal birth weight for a baby in China?

A: Generally, a normal birth weight is considered to be between 2.5 kg (5.5 lbs) and 4.0 kg (8.8 lbs). Babies born below 2.5 kg are considered low birth weight (LBW), and those significantly above 4.0 kg may be considered macrosomic. However, these ranges are influenced by gestational age and specific population data.

Q4: My calculator result is higher than average. Should I be worried?

A: Not necessarily. Higher birth weight can be influenced by factors like maternal weight, diabetes, and genetics. Discuss the results with your healthcare provider. They can assess if the predicted weight is appropriate for your specific situation and provide guidance.

Q5: Does maternal age significantly impact birth weight?

A: Yes, maternal age can play a role. While the relationship can be complex, very young mothers and mothers over 35-40 may face different risks impacting fetal growth. This calculator includes age as a factor in its estimation.

Q6: How does gestational diabetes affect birth weight?

A: Gestational diabetes often leads to increased glucose transfer to the fetus, stimulating excessive fetal growth (macrosomia). This results in babies that are larger than average for their gestational age, carrying potential risks during delivery.

Q7: What if I don't know my exact pre-pregnancy weight?

A: Try to estimate as closely as possible. If unsure, you can use the average pre-pregnancy weight for women of your height and ethnicity as a proxy, but this will reduce the calculator's accuracy. Consulting your healthcare provider for records might be an option.

Q8: Can smoking really decrease birth weight that much?

A: Yes, smoking during pregnancy is a major risk factor for compromised fetal growth. Nicotine and carbon monoxide in cigarette smoke can reduce oxygen supply to the fetus and impair nutrient absorption, often leading to significantly lower birth weights and other developmental issues.

Q9: Should I rely on this calculator more than an ultrasound measurement?

A: Ultrasound measurements (like estimated fetal weight – EFW) provide direct measurements of the baby's size in utero, which are generally considered more accurate than predictive calculators based solely on maternal factors. This calculator serves as a complementary tool, especially when ultrasound data isn't available or for general understanding.

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Disclaimer: This calculator is for informational purposes only and does not constitute medical advice. Always consult with a qualified healthcare professional for any health concerns or before making any decisions related to your health or treatment.

var canvas = document.getElementById('birthWeightChart'); var ctx = canvas.getContext('2d'); var myChart; function isValidNumber(value, min, max, id, errorId) { var errorElement = document.getElementById(errorId); if (value === null || value === "") { errorElement.textContent = "This field is required."; return false; } var num = parseFloat(value); if (isNaN(num)) { errorElement.textContent = "Please enter a valid number."; return false; } if (num max) { errorElement.textContent = "Value cannot be greater than " + max + "."; return false; } errorElement.textContent = ""; return true; } function calculateBirthWeight() { var gestationalAge = parseFloat(document.getElementById('gestationalAge').value); var maternalHeightCm = parseFloat(document.getElementById('maternalHeightCm').value); var maternalWeightKg = parseFloat(document.getElementById('maternalWeightKg').value); var maternalAge = parseFloat(document.getElementById('maternalAge').value); var parity = parseFloat(document.getElementById('parity').value); var diabetes = parseInt(document.getElementById('diabetes').value); var smoking = parseInt(document.getElementById('smoking').value); var resultsDiv = document.getElementById('results'); var predictedWeightDiv = document.getElementById('predictedWeight'); var growthPercentileDiv = document.getElementById('growthPercentile'); var weightRangeDiv = document.getElementById('weightRange'); var referenceWeightDiv = document.getElementById('referenceWeight'); // — Input Validation — var valid = true; valid = isValidNumber(gestationalAge, 20, 42, 'gestationalAge', 'gestationalAgeError') && valid; valid = isValidNumber(maternalHeightCm, 100, 250, 'maternalHeightCm', 'maternalHeightCmError') && valid; valid = isValidNumber(maternalWeightKg, 30, 200, 'maternalWeightKg', 'maternalWeightKgError') && valid; valid = isValidNumber(maternalAge, 15, 50, 'maternalAge', 'maternalAgeError') && valid; valid = isValidNumber(parity, 0, 10, 'parity', 'parityError') && valid; if (!valid) { resultsDiv.classList.remove('visible'); return; } // — Simplified Regression Model (Illustrative Coefficients) — // These coefficients are hypothetical and should be replaced with statistically derived values for accuracy. // This model is a simplification for demonstration. var beta_intercept = -4.5; // A hypothetical baseline var beta_ga = 0.15; // Coefficient for Gestational Age var beta_height = 0.02; // Coefficient for Maternal Height var beta_weight = 0.03; // Coefficient for Maternal Pre-pregnancy Weight var beta_age = 0.005; // Coefficient for Maternal Age var beta_parity = 0.05; // Coefficient for Parity var beta_diabetes = 0.4; // Coefficient for Diabetes (increases weight) var beta_smoking = -0.3; // Coefficient for Smoking (decreases weight) var predictedWeight = beta_intercept + (beta_ga * gestationalAge) + (beta_height * maternalHeightCm) + (beta_weight * maternalWeightKg) + (beta_age * maternalAge) + (beta_parity * parity) + (beta_diabetes * diabetes) + (beta_smoking * smoking); // Ensure weight is not unrealistically low predictedWeight = Math.max(1.5, predictedWeight); // Minimum plausible weight // — Calculate Reference Weight (Example: Average for Gestational Age) — // This is a simplified approximation. Real growth charts are more complex. var referenceWeightAvg = 2.5 + (gestationalAge – 30) * 0.15; // Example average growth referenceWeightAvg = Math.max(1.5, referenceWeightAvg); referenceWeightAvg = Math.min(4.5, referenceWeightAvg); // Cap at a reasonable max // — Estimate Percentile (Simplified) — // This is a rough estimation. Actual percentiles require complex distributions. var percentileScore = (predictedWeight – referenceWeightAvg) * 10; // Scaling factor for score var growthPercentile = 50 + percentileScore; growthPercentile = Math.max(1, Math.min(99, growthPercentile)); // Clamp between 1 and 99 // — Estimate 95% Confidence Interval (Simplified) — var ciRange = 0.4; // Hypothetical standard deviation for the range var lowerBound = predictedWeight – ciRange; var upperBound = predictedWeight + ciRange; lowerBound = Math.max(1.0, lowerBound); // Ensure lower bound is plausible upperBound = Math.min(5.0, upperBound); // Ensure upper bound is plausible // — Display Results — predictedWeightDiv.textContent = predictedWeight.toFixed(2) + " kg"; growthPercentileDiv.textContent = growthPercentile.toFixed(0) + "%"; weightRangeDiv.textContent = lowerBound.toFixed(2) + " kg to " + upperBound.toFixed(2) + " kg"; referenceWeightDiv.textContent = referenceWeightAvg.toFixed(2) + " kg"; resultsDiv.classList.add('visible'); updateChart(gestationalAge, predictedWeight, referenceWeightAvg, lowerBound, upperBound); } function updateChart(currentGA, predicted, reference, lower, upper) { var gestationalAges = []; var predictedWeights = []; var referenceWeights = []; var lowerBounds = []; var upperBounds = []; // Generate data points for the chart, focusing around the current GA var startGA = Math.max(20, Math.min(42, currentGA – 4)); var endGA = Math.min(42, currentGA + 4); for (var i = startGA; i <= endGA; i++) { gestationalAges.push(i); // Recalculate for each GA based on the same input parameters except GA itself // This requires storing the base input values or making the calculation function more flexible. // For simplicity here, we'll use simplified growth curves for demonstration data. // Simplified average growth trend var refW = 2.5 + (i – 30) * 0.15; refW = Math.max(1.5, Math.min(4.5, refW)); referenceWeights.push(refW); // Simplified predicted growth trend (assuming inputs lead to a trend) // This is a major simplification. Ideally, the model would provide a full growth curve. // Here we just extrapolate the calculated point. var predW = refW + (predicted – reference); // Maintain the difference from the reference // Apply a slight adjustment based on GA difference from the input GA for the prediction line var gaDiff = i – currentGA; var trendFactor = 0.15; // Approx GA coefficient predW = predicted + gaDiff * trendFactor; predW = Math.max(1.5, Math.min(5.0, predW)); // Clamp predictedWeights.push(predW); // Simplified CI range var lb = predW – 0.4; var ub = predW + 0.4; lb = Math.max(1.0, lb); ub = Math.max(lb, ub); // Ensure lower is not greater than upper ub = Math.min(5.0, ub); lowerBounds.push(lb); upperBounds.push(ub); } if (myChart) { myChart.destroy(); } myChart = new Chart(ctx, { type: 'line', data: { labels: gestationalAges, datasets: [{ label: 'Predicted Fetal Weight', data: predictedWeights, borderColor: 'var(–primary-color)', backgroundColor: 'rgba(0, 74, 153, 0.1)', fill: false, tension: 0.1, pointRadius: 3 }, { label: 'Average Fetal Weight', data: referenceWeights, borderColor: '#6c757d', backgroundColor: 'rgba(108, 117, 125, 0.1)', fill: false, tension: 0.1, pointRadius: 3 }, { label: '95% Confidence Interval (Upper)', data: upperBounds, borderColor: 'rgba(40, 167, 69, 0.5)', backgroundColor: 'rgba(40, 167, 69, 0.1)', fill: '-1', // Fill between this dataset and the one before it (lower bound) tension: 0.1, pointRadius: 0, borderWidth: 0 }, { label: '95% Confidence Interval (Lower)', data: lowerBounds, borderColor: 'rgba(40, 167, 69, 0.0)', // Invisible line for fill reference backgroundColor: 'rgba(40, 167, 69, 0.2)', // Actual fill color fill: '+1', // Fill between this dataset and the one after it (upper bound) tension: 0.1, pointRadius: 0 }] }, options: { responsive: true, maintainAspectRatio: false, scales: { x: { title: { display: true, text: 'Gestational Age (Weeks)' }, min: 20, max: 42 }, y: { title: { display: true, text: 'Weight (kg)' }, min: 0, max: 5.5 // Adjust max y-axis value as needed } }, plugins: { legend: { display: true, position: 'top' }, tooltip: { mode: 'index', intersect: false, } }, hover: { mode: 'nearest', intersect: true } } }); } function resetCalculator() { document.getElementById('gestationalAge').value = 39; document.getElementById('maternalHeightCm').value = 165; document.getElementById('maternalWeightKg').value = 55; document.getElementById('maternalAge').value = 28; document.getElementById('parity').value = 1; document.getElementById('diabetes').value = 0; document.getElementById('smoking').value = 0; // Clear errors document.getElementById('gestationalAgeError').textContent = ""; document.getElementById('maternalHeightCmError').textContent = ""; document.getElementById('maternalWeightKgError').textContent = ""; document.getElementById('maternalAgeError').textContent = ""; document.getElementById('parityError').textContent = ""; // Clear results document.getElementById('predictedWeight').textContent = "– kg"; document.getElementById('growthPercentile').textContent = "– %"; document.getElementById('weightRange').textContent = "– kg to — kg"; document.getElementById('referenceWeight').textContent = "– kg"; document.getElementById('results').classList.remove('visible'); // Clear chart if (myChart) { myChart.destroy(); } // Optionally reset chart to a default state or empty ctx.clearRect(0, 0, canvas.width, canvas.height); } function copyResults() { var predicted = document.getElementById('predictedWeight').textContent; var percentile = document.getElementById('growthPercentile').textContent; var range = document.getElementById('weightRange').textContent; var reference = document.getElementById('referenceWeight').textContent; var gestationalAge = document.getElementById('gestationalAge').value; var maternalHeight = document.getElementById('maternalHeightCm').value; var maternalWeight = document.getElementById('maternalWeightKg').value; var maternalAge = document.getElementById('maternalAge').value; var parity = document.getElementById('parity').value; var diabetes = document.getElementById('diabetes').options[document.getElementById('diabetes').selectedIndex].text; var smoking = document.getElementById('smoking').options[document.getElementById('smoking').selectedIndex].text; var formulaText = "This calculation is based on a simplified regression model incorporating Gestational Age, Maternal Height, Maternal Pre-pregnancy Weight, Maternal Age, Parity, Diabetes status, and Smoking status."; var textToCopy = "— Birth Weight Estimation Results —\n\n" + "Inputs:\n" + "- Gestational Age: " + gestationalAge + " weeks\n" + "- Maternal Height: " + maternalHeight + " cm\n" + "- Maternal Pre-pregnancy Weight: " + maternalWeight + " kg\n" + "- Maternal Age: " + maternalAge + " years\n" + "- Parity: " + parity + "\n" + "- Maternal Diabetes: " + diabetes + "\n" + "- Maternal Smoking: " + smoking + "\n\n" + "Outputs:\n" + "- Predicted Weight: " + predicted + "\n" + "- Growth Percentile (Estimated): " + percentile + "\n" + "- Potential Range (95% CI): " + range + "\n" + "- Reference Weight (Average): " + reference + "\n\n" + "Assumptions:\n" + formulaText; try { navigator.clipboard.writeText(textToCopy).then(function() { // Optionally show a confirmation message var btn = event.target; var originalText = btn.textContent; btn.textContent = 'Copied!'; setTimeout(function() { btn.textContent = originalText; }, 1500); }).catch(function(err) { console.error('Failed to copy text: ', err); // Fallback for older browsers or if clipboard API is restricted var textArea = document.createElement("textarea"); textArea.value = textToCopy; textArea.style.position = "fixed"; // Avoid scrolling to bottom textArea.style.left = "-9999px"; document.body.appendChild(textArea); textArea.focus(); textArea.select(); try { var successful = document.execCommand('copy'); var msg = successful ? 'Copied!' : 'Copy failed!'; var btn = event.target; var originalText = btn.textContent; btn.textContent = msg; setTimeout(function() { btn.textContent = originalText; }, 1500); } catch (err) { console.error('Fallback: Oops, unable to copy', err); var btn = event.target; var originalText = btn.textContent; btn.textContent = 'Error'; setTimeout(function() { btn.textContent = originalText; }, 1500); } document.body.removeChild(textArea); }); } catch (e) { console.error('Clipboard API not available or denied: ', e); // Fallback as above var textArea = document.createElement("textarea"); textArea.value = textToCopy; textArea.style.position = "fixed"; // Avoid scrolling to bottom textArea.style.left = "-9999px"; document.body.appendChild(textArea); textArea.focus(); textArea.select(); try { var successful = document.execCommand('copy'); var msg = successful ? 'Copied!' : 'Copy failed!'; var btn = event.target; var originalText = btn.textContent; btn.textContent = msg; setTimeout(function() { btn.textContent = originalText; }, 1500); } catch (err) { console.error('Fallback: Oops, unable to copy', err); var btn = event.target; var originalText = btn.textContent; btn.textContent = 'Error'; setTimeout(function() { btn.textContent = originalText; }, 1500); } document.body.removeChild(textArea); } } // Initial calculation and chart render on page load document.addEventListener('DOMContentLoaded', function() { calculateBirthWeight(); // Make sure chart canvas has dimensions set or is responsive if (canvas.getAttribute('width') === null) { canvas.setAttribute('width', '600'); // Default width if not set } if (canvas.getAttribute('height') === null) { canvas.setAttribute('height', '300'); // Default height if not set } updateChart( parseFloat(document.getElementById('gestationalAge').value), parseFloat(document.getElementById('maternalWeightKg').value), // Placeholder values for initial chart setup 3.3, 3.1, 3.8 // Placeholder values ); // Call calculate to set initial results and chart data properly calculateBirthWeight(); });

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