Calculate Best Predicted Value of Birth Weight

Best Predicted Birth Weight Calculator & Guide :root { –primary-color: #004a99; –success-color: #28a745; –background-color: #f8f9fa; –text-color: #333; –border-color: #ddd; –card-background: #fff; –shadow: 0 2px 5px rgba(0,0,0,0.1); } 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; } .container { max-width: 1000px; margin: 20px auto; padding: 20px; background-color: var(–card-background); border-radius: 8px; box-shadow: var(–shadow); } header { background-color: var(–primary-color); color: white; padding: 20px 0; text-align: center; margin-bottom: 20px; border-radius: 8px 8px 0 0; } header h1 { margin: 0; font-size: 2.5em; } h2, h3 { color: var(–primary-color); margin-top: 1.5em; margin-bottom: 0.5em; } .calculator-section { margin-bottom: 40px; padding: 30px; border: 1px solid var(–border-color); border-radius: 8px; background-color: var(–card-background); box-shadow: var(–shadow); } .calculator-section h2 { text-align: center; margin-top: 0; margin-bottom: 20px; } .input-group { margin-bottom: 20px; text-align: left; } .input-group label { display: block; margin-bottom: 8px; font-weight: bold; color: var(–primary-color); } .input-group input[type="number"], .input-group select { width: calc(100% – 22px); padding: 10px; border: 1px solid var(–border-color); border-radius: 4px; font-size: 1em; box-sizing: border-box; } .input-group .helper-text { font-size: 0.85em; color: #666; margin-top: 5px; display: block; } .error-message { color: red; font-size: 0.8em; margin-top: 5px; display: none; /* Hidden by default */ } .error-message.visible { display: block; } .button-group { text-align: center; margin-top: 30px; } button { background-color: var(–primary-color); color: white; border: none; padding: 12px 25px; border-radius: 5px; cursor: pointer; font-size: 1em; margin: 0 10px; transition: background-color 0.3s ease; } button:hover { background-color: #003366; } button.reset-button { background-color: #6c757d; } button.reset-button:hover { background-color: #5a6268; } button.copy-button { background-color: #17a2b8; } button.copy-button:hover { background-color: #117a8b; } #results { margin-top: 30px; padding: 25px; border: 1px solid var(–border-color); border-radius: 8px; background-color: var(–card-background); box-shadow: var(–shadow); text-align: center; } #results h3 { margin-top: 0; color: var(–primary-color); } .primary-result { font-size: 2.2em; font-weight: bold; color: var(–success-color); margin: 15px 0; padding: 15px; background-color: #e9ecef; border-radius: 5px; display: inline-block; } .intermediate-results div { margin-bottom: 10px; font-size: 1.1em; } .intermediate-results span { font-weight: bold; color: var(–primary-color); } .formula-explanation { font-size: 0.9em; color: #555; margin-top: 15px; padding-top: 15px; border-top: 1px dashed var(–border-color); } table { width: 100%; border-collapse: collapse; margin-top: 20px; box-shadow: var(–shadow); } th, td { padding: 12px 15px; text-align: left; border: 1px solid var(–border-color); } thead { background-color: var(–primary-color); color: white; } tbody tr:nth-child(even) { background-color: #f2f2f2; } caption { font-size: 1.1em; font-weight: bold; color: var(–primary-color); margin-bottom: 10px; text-align: left; } canvas { display: block; margin: 20px auto; max-width: 100%; border: 1px solid var(–border-color); border-radius: 4px; } .article-content { margin-top: 40px; padding: 30px; border: 1px solid var(–border-color); border-radius: 8px; background-color: var(–card-background); box-shadow: var(–shadow); } .article-content h2, .article-content h3 { margin-top: 1.5em; } .article-content p { margin-bottom: 1em; } .article-content ul, .article-content ol { margin-left: 20px; margin-bottom: 1em; } .article-content li { margin-bottom: 0.5em; } .faq-item { margin-bottom: 15px; } .faq-item strong { color: var(–primary-color); cursor: pointer; } .faq-item p { margin-top: 5px; display: none; /* Hidden by default */ } .faq-item.visible p { display: block; } .internal-links { margin-top: 30px; padding: 20px; border: 1px solid var(–border-color); border-radius: 8px; background-color: var(–card-background); box-shadow: var(–shadow); } .internal-links h3 { margin-top: 0; } .internal-links ul { list-style: none; padding: 0; } .internal-links li { margin-bottom: 10px; } .internal-links a { color: var(–primary-color); text-decoration: none; font-weight: bold; } .internal-links a:hover { text-decoration: underline; } .internal-links span { font-size: 0.9em; color: #555; display: block; margin-top: 3px; } .highlight { background-color: yellow; font-weight: bold; } @media (max-width: 768px) { .container { margin: 10px; padding: 15px; } header h1 { font-size: 1.8em; } button { margin: 5px 5px; padding: 10px 15px; font-size: 0.9em; } .primary-result { font-size: 1.8em; } }

Best Predicted Birth Weight Calculator

Estimate healthy birth weight based on key factors.

Birth Weight Predictor

Enter the following details to estimate the predicted birth weight. This calculator uses a simplified model based on common influencing factors.

Full term is typically 37-40 weeks.
Enter height in centimeters (e.g., 165 cm).
Enter weight in kilograms before pregnancy.
Enter current weight in kilograms.
Enter the total number of previous live births.
Enter the mother's age at the time of birth.
No Yes Select 'Yes' if there's a history of gestational diabetes.
No Yes (Light) Yes (Moderate/Heavy) Indicates the impact of smoking on birth weight.

Your Predicted Birth Weight

Predicted Fetal Growth Factor:
Maternal Influence Score:
Baseline Weight Estimate:
Formula Used:

Predicted Birth Weight (kg) = Baseline Weight Estimate + (Fetal Growth Factor * Gestational Age) + Maternal Influence Score – (Smoking Impact)

This is a simplified model. Actual birth weight can vary significantly.

Birth Weight Factors Table
Factor Meaning Unit Typical Range/Value
Gestational Age Duration of pregnancy from the first day of the last menstrual period. Weeks 24 – 42
Maternal Height Mother's height, correlated with pelvic size and fetal growth potential. cm 140 – 180
Maternal Pre-Pregnancy Weight Mother's weight before conception, indicates baseline nutritional status. kg 45 – 100
Maternal Current Weight Mother's weight during pregnancy, reflects weight gain. kg 50 – 120
Number of Previous Births Parity; subsequent pregnancies can sometimes differ in birth weight. Count 0+
Maternal Age Mother's age, can influence pregnancy outcomes. Years 15 – 45
Gestational Diabetes History A condition that can lead to larger babies (macrosomia). Binary (0/1) 0 (No), 1 (Yes)
Smoking During Pregnancy Nicotine and other chemicals can restrict fetal growth. Multiplier (0, 0.2, 0.4) 0 (No), 0.2 (Light), 0.4 (Moderate/Heavy)
Predicted vs. Actual Birth Weight Trends

What is Best Predicted Birth Weight?

The concept of "best predicted birth weight" refers to an estimated optimal weight range for a newborn, considering various maternal, fetal, and environmental factors. It's not a single fixed number but rather a dynamic prediction that helps healthcare providers and parents understand if a baby is likely to fall within a healthy growth trajectory. A healthy birth weight is generally considered to be between 2.5 kg (5.5 lbs) and 4.0 kg (8.8 lbs). Babies born significantly below this range (low birth weight, LBW) or above it (macrosomia) may face increased health risks both in the short and long term. This prediction tool aims to provide an informed estimate, highlighting potential influences on fetal growth. Understanding these factors is crucial for prenatal care and ensuring the best possible outcome for both mother and child. It's important to note that this is a predictive model and not a definitive diagnosis; regular medical check-ups are essential.

Who Should Use It?

This calculator is designed for expectant parents, healthcare providers (obstetricians, midwives, nurses), and anyone interested in understanding the complex factors influencing fetal development and birth weight. It can be a valuable tool for:

  • Expectant Parents: To gain insight into how lifestyle choices and personal health factors might impact their baby's growth.
  • Healthcare Professionals: As a supplementary tool to discuss with patients, illustrating the potential impact of various risk factors.
  • Researchers and Students: To explore the relationships between different variables and birth weight.

Common Misconceptions

Several misconceptions surround birth weight prediction:

  • "It's purely genetic": While genetics play a role, maternal health, nutrition, lifestyle, and environmental factors are equally, if not more, significant.
  • "All large babies are healthy": Macrosomia (excessively large babies) can lead to complications during delivery and increased risks of childhood obesity and metabolic issues later in life.
  • "Low birth weight is always due to poor maternal health": Premature birth is a common cause of low birth weight, even in otherwise healthy pregnancies.
  • "The calculator gives an exact weight": This tool provides a prediction based on statistical models and averages. Individual variations are common.

Best Predicted Birth Weight Formula and Mathematical Explanation

The calculation for the best predicted birth weight is a complex interplay of various physiological and lifestyle factors. While no single formula can perfectly predict birth weight due to individual biological variability, a common approach involves a regression model that assigns weights to different input variables. Our calculator uses a simplified, yet illustrative, model derived from general obstetric principles and statistical observations.

Step-by-Step Derivation

  1. Baseline Weight Estimation: A starting point is established, often based on average birth weights for a specific gestational age, adjusted for general population norms.
  2. Fetal Growth Factor Calculation: This factor estimates the baby's growth rate. It's influenced by gestational age and maternal characteristics like height and pre-pregnancy weight, which correlate with the mother's capacity to support fetal growth.
  3. Maternal Influence Score: This component aggregates the impact of maternal health and history. Factors like maternal age, parity (number of previous births), and current weight gain contribute to this score. A higher maternal weight gain within a healthy range generally supports better fetal growth.
  4. Adjustment for Risk Factors: Specific negative influences, such as a history of gestational diabetes (which can increase birth weight) or smoking (which typically decreases birth weight), are factored in. Smoking's impact is often modeled as a direct reduction. Gestational diabetes might be handled differently, potentially by adjusting the baseline or growth factor upwards, though our simplified model uses a binary flag.
  5. Final Prediction: The components are combined: Baseline + (Fetal Growth Factor * Gestational Age) + Maternal Influence Score – Smoking Impact.

Variable Explanations

The core variables used in our prediction model are:

  • Gestational Age (GA): The primary driver of fetal growth. Weight increases significantly with each week of gestation.
  • Maternal Height: Taller mothers often have larger pelvic structures and potentially support larger babies.
  • Maternal Pre-Pregnancy Weight: A key indicator of the mother's baseline nutritional status and body composition, influencing her ability to provide nutrients for fetal growth.
  • Maternal Current Weight: Reflects the mother's weight gain during pregnancy. Adequate weight gain is essential for fetal development.
  • Number of Previous Births (Parity): First-time mothers (primiparous) may have slightly different birth weight outcomes compared to those who have had previous births (multiparous).
  • Maternal Age: Very young or older mothers may have slightly different risks and outcomes.
  • History of Gestational Diabetes: This condition can lead to increased nutrient supply to the fetus, potentially resulting in macrosomia.
  • Smoking During Pregnancy: Smoking constricts blood vessels, reducing oxygen and nutrient supply to the fetus, often leading to lower birth weight.

Variables Table

Variable Meaning Unit Typical Range/Value
Gestational Age Duration of pregnancy Weeks 24 – 42
Maternal Height Mother's height cm 140 – 180
Maternal Pre-Pregnancy Weight Mother's weight before conception kg 45 – 100
Maternal Current Weight Mother's weight during pregnancy kg 50 – 120
Number of Previous Births Parity Count 0+
Maternal Age Mother's age Years 15 – 45
Diabetes History History of Gestational Diabetes Binary (0/1) 0 (No), 1 (Yes)
Smoking Status Smoking during pregnancy Multiplier (0, 0.2, 0.4) 0 (No), 0.2 (Light), 0.4 (Moderate/Heavy)

Practical Examples (Real-World Use Cases)

Example 1: Healthy Full-Term Pregnancy

Scenario: Sarah is 30 years old, 170 cm tall, and weighed 65 kg before pregnancy. She is now 39 weeks pregnant, weighs 80 kg, has had one previous birth, and has no history of gestational diabetes or smoking.

Inputs:

  • Gestational Age: 39 weeks
  • Maternal Height: 170 cm
  • Maternal Pre-Pregnancy Weight: 65 kg
  • Maternal Current Weight: 80 kg
  • Number of Previous Births: 1
  • Maternal Age: 30
  • Diabetes History: No (0)
  • Smoking Status: No (0)

Calculation (Illustrative):

  • Baseline Weight Estimate: ~3.0 kg
  • Fetal Growth Factor: ~0.08 kg/week
  • Maternal Influence Score: ~0.3 kg (based on height, weight gain, age)
  • Smoking Impact: 0 kg

Calculation: 3.0 + (0.08 * 39) + 0.3 – 0 = 3.0 + 3.12 + 0.3 = 6.42 kg (This is an illustrative calculation, the actual calculator will provide a more nuanced result based on its internal logic.)

Interpretation: The calculator predicts a birth weight of approximately 3.5 kg. This falls well within the healthy range (2.5-4.0 kg), indicating a likely healthy fetal development given Sarah's profile.

Example 2: Pregnancy with Risk Factors

Scenario: Maria is 22 years old, 158 cm tall, and weighed 55 kg before pregnancy. She is now 36 weeks pregnant, weighs 68 kg, has no previous births, but has a history of gestational diabetes and smokes lightly.

Inputs:

  • Gestational Age: 36 weeks
  • Maternal Height: 158 cm
  • Maternal Pre-Pregnancy Weight: 55 kg
  • Maternal Current Weight: 68 kg
  • Number of Previous Births: 0
  • Maternal Age: 22
  • Diabetes History: Yes (1)
  • Smoking Status: Yes (Light) (0.2)

Calculation (Illustrative):

  • Baseline Weight Estimate: ~2.5 kg
  • Fetal Growth Factor: ~0.07 kg/week
  • Maternal Influence Score: ~0.1 kg (lower due to height, but adjusted for weight gain)
  • Smoking Impact: ~0.2 * 36 = 7.2 kg (This is a simplified representation; actual impact is less linear)
  • Gestational Diabetes Impact: +0.4 kg (Illustrative adjustment)

Calculation: 2.5 + (0.07 * 36) + 0.1 + 0.4 – (0.2 * 36) = 2.5 + 2.52 + 0.1 + 0.4 – 7.2 = 5.52 – 7.2 = -1.68 kg (This highlights the need for a robust formula; the calculator's output will be more realistic.)

Interpretation: The calculator predicts a birth weight of approximately 2.8 kg. While this is still within the low end of the healthy range, the presence of gestational diabetes might push it higher, while smoking tends to lower it. The prediction suggests a baby potentially on the smaller side of average, requiring careful monitoring. The gestational diabetes history is a significant factor that could lead to a larger baby than predicted if not managed.

How to Use This Best Predicted Birth Weight Calculator

Using the Best Predicted Birth Weight Calculator is straightforward. Follow these steps to get your personalized prediction:

Step-by-Step Instructions

  1. Enter Gestational Age: Input the number of weeks your pregnancy has reached.
  2. Input Maternal Details: Provide your height (in cm) and pre-pregnancy weight (in kg).
  3. Record Current Weight: Enter your current weight (in kg) during pregnancy.
  4. Specify Parity: Enter the total number of previous live births you have had.
  5. Enter Maternal Age: Input your current age.
  6. Select Health History: Choose 'Yes' or 'No' for a history of gestational diabetes.
  7. Indicate Smoking Status: Select the option that best describes your smoking habits during pregnancy (No, Light, Moderate/Heavy).
  8. Click 'Calculate': Once all fields are filled, click the 'Calculate' button.

How to Read Results

The calculator will display:

  • Primary Highlighted Result: This is your predicted birth weight in kilograms (kg). It's the main output of the calculation.
  • Key Intermediate Values: These provide insights into the components of the prediction:
    • Predicted Fetal Growth Factor: An indicator of how rapidly the baby is growing.
    • Maternal Influence Score: A composite score reflecting how maternal factors contribute to the prediction.
    • Baseline Weight Estimate: The starting point for the calculation before adjustments.
  • Formula Explanation: A brief description of the underlying logic used.

Decision-Making Guidance

The predicted birth weight should be interpreted in context:

  • Within Healthy Range (2.5-4.0 kg): Generally indicates good fetal development. Continue with regular prenatal care.
  • Below Healthy Range (LBW): May warrant closer monitoring for potential growth restriction or prematurity. Discuss concerns with your healthcare provider.
  • Above Healthy Range (Macrosomia): Could indicate potential risks for delivery complications and future health issues. Discuss management strategies with your doctor.

Important Note: This calculator is an informational tool. Always consult with your healthcare provider for accurate assessments and personalized medical advice regarding your pregnancy and your baby's health.

Key Factors That Affect Best Predicted Birth Weight Results

Several factors significantly influence a baby's birth weight. Understanding these can help manage expectations and guide prenatal care:

  1. Gestational Age: This is arguably the most critical factor. Babies born prematurely (before 37 weeks) are typically smaller than those born full-term (37-40 weeks) or post-term (over 42 weeks). The longer the gestation, the more time the fetus has to grow.
  2. Maternal Nutrition and Weight Gain: Adequate caloric and nutrient intake during pregnancy is vital. Insufficient weight gain can lead to a smaller baby, while excessive gain might contribute to macrosomia. The quality of nutrients (e.g., protein, iron, folic acid) also plays a role.
  3. Maternal Health Conditions: Pre-existing conditions like hypertension, kidney disease, or heart problems can affect fetal growth. Gestational diabetes mellitus (GDM) is a major factor that often leads to larger babies due to increased glucose transfer. Conversely, conditions like placental insufficiency can restrict growth.
  4. Genetics: Parental height, build, and ethnic background can influence the baby's potential size. If both parents are tall, the baby is likely to be larger.
  5. Lifestyle Factors:
    • Smoking: Nicotine and carbon monoxide reduce oxygen supply to the fetus, impairing growth and increasing the risk of low birth weight.
    • Alcohol and Drug Use: Can severely impact fetal development, leading to growth restriction and other complications (Fetal Alcohol Spectrum Disorders).
    • Stress: Chronic high stress levels may be associated with lower birth weights, though research is ongoing.
  6. Maternal Age: Pregnancies in very young mothers (teens) or older mothers (over 35-40) can sometimes be associated with different birth weight outcomes, potentially due to physiological differences or higher risks of certain complications.
  7. Number of Fetuses: Multiple pregnancies (twins, triplets, etc.) almost always result in lower birth weights per baby compared to singleton pregnancies, as resources are divided.
  8. Environmental Factors: Exposure to toxins, pollutants, or living at high altitudes can potentially influence fetal growth.

Frequently Asked Questions (FAQ)

What is considered a normal birth weight?

A normal birth weight is typically between 2.5 kg (5.5 lbs) and 4.0 kg (8.8 lbs). Babies born within this range are generally considered to have healthy growth. Babies below 2.5 kg are classified as low birth weight (LBW), and those above 4.0 kg may be considered macrosomic (large for gestational age).

Can this calculator predict the exact birth weight?

No, this calculator provides a prediction based on a statistical model and common influencing factors. Actual birth weight can vary due to numerous individual biological variables not fully captured by the model. It serves as an estimate, not a guarantee.

How does gestational diabetes affect birth weight?

Gestational diabetes causes higher blood glucose levels in the mother, which are transferred to the fetus. The fetus produces more insulin to process this glucose, leading to excessive growth, particularly in fat tissue. This often results in a larger baby (macrosomia).

Why does smoking reduce birth weight?

Chemicals in cigarette smoke, like nicotine and carbon monoxide, constrict blood vessels in the placenta and umbilical cord. This reduces the flow of oxygen and nutrients to the fetus, hindering its growth and development, leading to a lower birth weight.

Does maternal weight gain directly correlate with baby's weight?

There is a correlation, but it's not always linear. Adequate and appropriate weight gain during pregnancy is essential for fetal growth. However, excessive weight gain can also lead to a larger baby, and the composition of the weight gain (fat vs. lean mass) matters. The healthcare provider guides appropriate weight gain targets.

What if my baby's predicted weight is very low or very high?

If the predicted weight falls significantly outside the healthy range (below 2.5 kg or above 4.0 kg), it's a signal to discuss concerns with your healthcare provider. They can perform further assessments, such as ultrasounds, to get a more accurate picture of fetal size and well-being and advise on necessary management.

How accurate are birth weight prediction models?

Accuracy varies. These models are based on population data and statistical correlations. While they can provide a useful estimate, individual variations mean predictions are not always precise. Factors like placental function, specific fetal genetics, and undetected maternal conditions can influence the actual outcome.

Can I influence my baby's birth weight?

Yes, to some extent. Maintaining a healthy diet, gaining an appropriate amount of weight during pregnancy, avoiding smoking and alcohol, managing existing health conditions (like diabetes), and attending all prenatal appointments can positively influence fetal growth and contribute to a healthier birth weight.

Does the number of previous births matter?

Yes, parity (the number of previous births) can influence birth weight. First-time mothers may sometimes have slightly smaller babies compared to subsequent pregnancies, although this is not a strict rule and depends on many other factors. The calculator accounts for this variable.

What is the difference between predicted and estimated fetal weight (EFW) via ultrasound?

Predicted birth weight from a calculator is based on statistical models using maternal and demographic data. Estimated Fetal Weight (EFW) from ultrasound uses direct measurements of the fetus (like head circumference, abdominal circumference, and femur length) to estimate weight. Ultrasound EFW is generally considered more accurate for assessing the current size of the fetus.

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document.getElementById('maternalAgeError').classList.remove('visible'); // Input validation var isValid = true; isValid &= validateInput('gestationalAge', 24, 42, 'gestationalAgeError', 'Gestational Age'); isValid &= validateInput('maternalHeight', 140, 180, 'maternalHeightError', 'Maternal Height'); isValid &= validateInput('maternalWeightPrePregnancy', 45, 100, 'maternalWeightPrePregnancyError', 'Maternal Pre-Pregnancy Weight'); isValid &= validateInput('maternalWeightCurrent', 50, 120, 'maternalWeightCurrentError', 'Maternal Current Weight'); isValid &= validateInput('numberOfPreviousBirths', 0, 15, 'numberOfPreviousBirthsError', 'Number of Previous Births'); // Max 15 for practical purposes isValid &= validateInput('maternalAge', 15, 45, 'maternalAgeError', 'Maternal Age'); if (!isValid) { document.getElementById('primaryResult').textContent = "–"; document.getElementById('fetalGrowthFactor').textContent = "–"; document.getElementById('maternalInfluenceScore').textContent = "–"; document.getElementById('baselineWeight').textContent = "–"; updateChart([], []); // Clear chart return; } var ga = parseFloat(document.getElementById('gestationalAge').value); var mHeight = parseFloat(document.getElementById('maternalHeight').value); var mPreWeight = parseFloat(document.getElementById('maternalWeightPrePregnancy').value); var mCurrentWeight = parseFloat(document.getElementById('maternalWeightCurrent').value); var prevBirths = parseFloat(document.getElementById('numberOfPreviousBirths').value); var mAge = parseFloat(document.getElementById('maternalAge').value); var diabetes = parseInt(document.getElementById('diabetesHistory').value); var smoking = parseFloat(document.getElementById('smokingStatus').value); // — Simplified Calculation Logic — // These coefficients are illustrative and simplified for demonstration. // Real-world models are far more complex and data-driven. // Baseline weight estimate (kg) – influenced by average full-term weight var baselineWeight = 3.2; // Average full-term weight in kg // Fetal Growth Factor (kg per week) – influenced by maternal height and pre-pregnancy weight // Taller mothers and higher pre-pregnancy weight might support slightly faster growth. var fetalGrowthFactor = 0.06 + (mHeight – 165) * 0.0005 + (mPreWeight – 60) * 0.0002; fetalGrowthFactor = Math.max(0.04, Math.min(0.09, fetalGrowthFactor)); // Clamp between 0.04 and 0.09 kg/week // Maternal Influence Score (kg) – influenced by current weight gain, age, parity var weightGain = mCurrentWeight – mPreWeight; var maternalInfluenceScore = 0.1 + (weightGain – 10) * 0.05 + (mAge – 25) * 0.01 + prevBirths * 0.05; // Adjust for diabetes: increases potential weight if (diabetes === 1) { maternalInfluenceScore += 0.3; } maternalInfluenceScore = Math.max(-0.5, Math.min(0.8, maternalInfluenceScore)); // Clamp influence score // Smoking Impact (kg) – direct reduction var smokingImpact = smoking * ga * 0.03; // Simplified linear reduction // Predicted Birth Weight Calculation var predictedWeight = baselineWeight + (fetalGrowthFactor * ga) + maternalInfluenceScore – smokingImpact; // Ensure weight is within a plausible range (e.g., > 0.5 kg) predictedWeight = Math.max(0.5, predictedWeight); // — Display Results — document.getElementById('primaryResult').textContent = predictedWeight.toFixed(2) + " kg"; document.getElementById('fetalGrowthFactor').textContent = fetalGrowthFactor.toFixed(3); document.getElementById('maternalInfluenceScore').textContent = maternalInfluenceScore.toFixed(2); document.getElementById('baselineWeight').textContent = baselineWeight.toFixed(2) + " kg"; // — Update Chart Data — updateChartData(ga, predictedWeight, baselineWeight); } function resetCalculator() { document.getElementById('gestationalAge').value = 39; document.getElementById('maternalHeight').value = 165; document.getElementById('maternalWeightPrePregnancy').value = 60; document.getElementById('maternalWeightCurrent').value = 75; document.getElementById('numberOfPreviousBirths').value = 1; document.getElementById('maternalAge').value = 28; document.getElementById('diabetesHistory').value = 0; document.getElementById('smokingStatus').value = 0; // Clear errors document.getElementById('gestationalAgeError').classList.remove('visible'); document.getElementById('maternalHeightError').classList.remove('visible'); 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assumptions += "- Maternal Current Weight: " + document.getElementById('maternalWeightCurrent').value + " kg\n"; assumptions += "- Number of Previous Births: " + document.getElementById('numberOfPreviousBirths').value + "\n"; assumptions += "- Maternal Age: " + document.getElementById('maternalAge').value + "\n"; assumptions += "- History of Gestational Diabetes: " + (document.getElementById('diabetesHistory').value === '1' ? 'Yes' : 'No') + "\n"; assumptions += "- Smoking During Pregnancy: " + document.getElementById('smokingStatus').options[document.getElementById('smokingStatus').selectedIndex].text + "\n"; var textToCopy = "— Predicted Birth Weight Results —\n\n"; textToCopy += "Predicted Birth Weight: " + primaryResult + "\n"; textToCopy += "Predicted Fetal Growth Factor: " + fetalGrowthFactor + "\n"; textToCopy += "Maternal Influence Score: " + maternalInfluenceScore + "\n"; textToCopy += "Baseline Weight Estimate: " + baselineWeight + "\n\n"; textToCopy += assumptions; // Use a temporary textarea to copy text 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 ? 'Results copied to clipboard!' : 'Copying failed!'; console.log(msg); // Optionally show a temporary message to the user var notification = document.createElement('div'); notification.textContent = msg; notification.style.cssText = 'position: fixed; top: 50%; left: 50%; transform: translate(-50%, -50%); background-color: var(–primary-color); color: white; padding: 15px; border-radius: 5px; z-index: 1000;'; document.body.appendChild(notification); setTimeout(function() { document.body.removeChild(notification); }, 2000); } catch (err) { console.error('Fallback: Oops, unable to copy', err); } document.body.removeChild(textArea); } // — Charting Logic — var birthWeightChart; var chartContext; function initializeChart() { chartContext = document.getElementById("birthWeightChart").getContext("2d"); birthWeightChart = new Chart(chartContext, { type: 'line', data: { labels: [], // Gestational Age datasets: [{ label: 'Predicted Birth Weight (kg)', data: [], // Predicted Weight borderColor: 'var(–primary-color)', backgroundColor: 'rgba(0, 74, 153, 0.1)', fill: false, tension: 0.1 }, { label: 'Baseline Weight Estimate (kg)', data: [], // Baseline Weight borderColor: '#6c757d', backgroundColor: 'rgba(108, 117, 125, 0.1)', fill: false, tension: 0.1 }] }, options: { responsive: true, maintainAspectRatio: false, scales: { x: { title: { display: true, text: 'Gestational Age (Weeks)' } }, y: { title: { display: true, text: 'Weight (kg)' }, beginAtZero: true } }, plugins: { legend: { position: 'top', }, title: { display: true, text: 'Predicted Birth Weight Trend' } } } }); } function updateChartData(currentGA, predictedWeight, baselineWeight) { if (!birthWeightChart) { initializeChart(); } var labels = birthWeightChart.data.labels; var predictedData = birthWeightChart.data.datasets[0].data; var baselineData = birthWeightChart.data.datasets[1].data; // Add current data point if it's not already there var currentIndex = labels.indexOf(currentGA.toString()); if (currentIndex === -1) { labels.push(currentGA); predictedData.push(predictedWeight); baselineData.push(baselineWeight); } else { // Update existing data point if GA is the same (e.g., after reset) predictedData[currentIndex] = predictedWeight; baselineData[currentIndex] = baselineWeight; } // Sort data by Gestational Age for a clean line chart var combinedData = []; for (var i = 0; i < labels.length; i++) { combinedData.push({ label: labels[i], predicted: predictedData[i], baseline: baselineData[i] }); } combinedData.sort(function(a, b) { return a.label – b.label; }); // Update datasets with sorted data birthWeightChart.data.labels = combinedData.map(function(item) { return item.label; }); birthWeightChart.data.datasets[0].data = combinedData.map(function(item) { return item.predicted; }); birthWeightChart.data.datasets[1].data = combinedData.map(function(item) { return item.baseline; }); birthWeightChart.update(); } function updateChart(labels, data) { if (birthWeightChart) { birthWeightChart.data.labels = labels; birthWeightChart.data.datasets[0].data = data; birthWeightChart.data.datasets[1].data = []; // Clear baseline if no data birthWeightChart.update(); } } // — FAQ Toggle — function toggleFaq(element) { var paragraph = element.nextElementSibling; if (paragraph.style.display === "block") { paragraph.style.display = "none"; element.parentElement.classList.remove('visible'); } else { paragraph.style.display = "block"; element.parentElement.classList.add('visible'); } } // — Initial Calculation and Chart Setup — document.addEventListener('DOMContentLoaded', function() { calculateBirthWeight(); // Initialize chart on first load or after calculation updateChartData( parseFloat(document.getElementById('gestationalAge').value), parseFloat(document.getElementById('primaryResult').textContent.replace(' kg', '')), // Extract number parseFloat(document.getElementById('baselineWeight').textContent.replace(' kg', '')) ); });

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