Determining the predictive equation for height from ulnar length in the Vietnamese population

Area of Science:

• Clinical Medicine
• Anthropometry
• Biostatistics

Background:

• Accurate height measurement is vital for clinical calculations like BMI and energy requirements.
• Direct height measurement is often challenging in critically ill patients.
• Existing height estimation equations are ethnicity-specific.

Purpose of the Study:

• To develop regression equations for predicting height from ulna length in Vietnamese men and women.
• To improve the accuracy of height estimations for Vietnamese populations.
• To aid in life-saving treatment prescriptions in intensive care units.

Main Methods:

• A cross-sectional survey was conducted at the National Hospital for Tropical Diseases.
• Ulna length, standing height, and weight were measured in 498 males and 496 females.
• Linear regression equations were developed using a training group and validated on a separate group.

Main Results:

• A strong correlation was found between ulna length and height in adults aged 21-64 (r=0.66, p<0.001).
• Developed regression equations: Male: height = 85.61 + (3.16 x ulna length); Female: height = 85.80 + (2.97 x ulna length).
• International equations showed lower accuracy for this population.

Conclusions:

• The derived regression equations provide a reliable method for estimating height in Vietnamese men and women aged 21-64.
• These equations are valuable when direct height measurement is not possible.
• The findings can enhance clinical decision-making and treatment accuracy in Vietnamese healthcare settings.