Predictive Equations for Peak Cough Flow in Healthy Senior Persons

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Arunrat Srithawong Puttipong Poncumhak Sirintip Kumfu Tichanon Promsrisuk

Abstract

Objective and objectives: Measurement of peak cough flow (PCF) is a simple, convenient and noninvasive method providing the indices of cough efficiency. However, physical factors that affecting PCF are not clearly determined. Therefore, the aim of this study was to analyze the factors contributing to PCF for establishing a set of regression equations for community-dwelling senior adults.


Method: One hundred and thirty healthy participants including 65 men and 65 women were recruited in this study.  The PCF was performed by a quick, short, and most vigorous possible cough after a maximal inspiration on the peak flow meter. The highest values of those three measurements were recorded, individually.


Results: The PCF values were lower in women than in men. Moreover, the PCF was correlated with age, height, waist circumference, and weight in both genders. The predictive equations in men and women were as follow: PCF (all subjects) = 364.996 + [91.577 Gender] – 3.772 Age (year)] + [3.190 Weight (kg)],


PCFmen = 440.178 - 4.060 x (age) + 3.830 x (weight) (R2=0.357, P=0.005) and PCFwomen = 398.268 - 3.428 x (age) + 2.127 x (weight) (R2=0.231, P=0.006).


Conclusion: Age and weight factors are considered as covariates for PCF measurement. Furthermore, these equations could be used to calculate the predictive values of PCF for the healthy senior persons in clinical practice.

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References

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