Predictive equations for respiratory muscle strength by anthropometric variables

Area of Science:

• Pulmonary Function Testing
• Respiratory Physiology
• Biostatistics

Background:

• Reference equations for respiratory muscle strength show predictive quality divergences.
• There is a need for population-specific variables in respiratory muscle strength equations.

Purpose of the Study:

• To propose predictive equations for respiratory muscle strength.
• To evaluate the impact of body weight and body mass index (BMI) on predictive accuracy.

Main Methods:

• Cross-sectional study involving 353 participants.
• Maximum static respiratory pressures (MIP and MEP) were measured.
• Linear regression models using age, weight, and BMI were analyzed.

Main Results:

• Models incorporating weight or BMI showed improved predictive quality for MEP and MIP.
• Weight and BMI yielded similar gains in predictive accuracy.
• R-squared values ranged from 21.33% to 29.86% for MIP and MEP.

Conclusions:

• Adding body weight or BMI significantly enhances the predictive quality of respiratory muscle strength equations.
• No significant difference was observed between the predictive gains of weight and BMI.
• These findings support the use of weight or BMI in population-specific respiratory strength assessments.