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has been cited by the following article:

• TITLE: Predicting maximum voluntary ventilation in normal healthy individuals using indirect inspiratory muscle strength measurements: a correlation study

  AUTHORS: Rohit Sontakke, Mangesh Deore, Dhara Kothari

  KEYWORDS: Healthy Physical Therapy Students; Maximum Voluntary Ventilation; Inspiratory Muscle Strength; Regression Equation; Sphygmomanometer

  JOURNAL NAME: Health, Vol.2 No.4, April 30, 2010

  ABSTRACT: Maximum Voluntary Ventilation (MVV), one of the components of Pulmonary Function Testing (PFT), has multiple uses. Various factors including the inspiratory muscle strength (IMS) influence its magnitude. Our aim was to quantify the IMS indirectly using an economical and non invasive bedside assessment tool, determine its association with MVV and then develop a predictive equation for MVV. 41 healthy non-athletic physical therapy students participated in the study. IMS measurement was performed with a sphygmomanometer. Average of the three net deflections in sphygmomanometer following deepest possible breaths was taken as indirect measurement of IMS in mm of Hg. MVV was measured according to ATS guidelines using a spirometer. Results from the data analysis revealed a significant correlation between IMS and MVV(r = 0.83, p