What is Z-Score?
Formula: Z = (Observed Value - Mean) / Standard Deviation
Calculate standard deviation of pediatric anthropometric measurements. WHO-based tool for child nutritional assessment.
This calculator is an educational and clinical decision support tool. Results DO NOT replace professional medical evaluation, laboratory tests, or clinical judgment. Always consult a qualified healthcare professional for diagnosis, treatment, and clinical decisions. Calculations are based on scientifically validated formulas but may not be applicable to all patients.
Z-Score (standard score) measures how many standard deviations an observation is from the mean. In pediatrics, it is used to assess growth and nutritional status by comparing a child's anthropometric measurements to reference populations.
Formula: Z = (Observed Value - Mean) / Standard Deviation
Enter the observed anthropometric value (weight, height, or BMI), the reference mean for age and gender from WHO/CDC tables, and the standard deviation. The calculator computes how many standard deviations the observed value is from the reference mean.
Severe malnutrition or growth deficit. Immediate medical attention required.
Moderate malnutrition or growth deficit. Medical evaluation recommended.
Normal growth and nutritional status for age and gender.
Above normal. May indicate overweight or accelerated growth.
Severe obesity or excessive growth. Medical evaluation necessary.
Z-Score interpretation requires accurate reference data for age, gender, and population. Individual variations exist. This calculator is for screening purposes only. Clinical decisions should be made by healthcare professionals considering complete medical history and examination.
Both compare values to references, but Z-Score uses standard deviations (negative/positive values) while percentile uses percentages (0-100). Z-Score is more accurate at distribution extremes.
Use WHO tables for children 0-5 years or CDC for 5-19 years. These tables provide mean and standard deviation by age and gender for each anthropometric measurement.
Z of -2 is at the lower limit of normal. It represents the 2.5th percentile, indicating the child is smaller than 97.5% of the reference population. Requires monitoring and nutritional assessment.
Yes, but reference values differ. For adults, use specific tables by age, gender, and ethnicity. In pediatrics, Z-Score is especially useful as it normalizes growth variations by age.
Formula: Z = (Observed Value - Mean) / Standard Deviation