Anthropometric Variables and PEFR

Abstract

Peak expiratory flow rate (PEFR) varies with anthropometric variables like calendar age, body height, body weight, and body surface area in different regions. The present study aims at analyzing the relationship of PEFR with anthropometric variables to know a reference value in this region. We conducted the present study on healthy adult males aged eighteen to forty-five years engaged in works where they were un-exposed to pollutants in Patiala, India. Subgroups were made in each anthropometric variable category. PEFR recording was done using Mini Wright Peak Flow Meter. Results are expressed as mean PEFR ± standard deviation (mean ± S.D.), while the students' t-test was used to determine the differences between the means. We observed a linear increase in PEFR with all anthropometric variables. The correlation of PEFR with anthropometric variables was determined. PEFR is positively correlated with body height and body surface area (r =+0.20) and negatively correlated with calendar age (r = - 0.24) and body weight (r = - 0.02). We conclude that PEFR correlates best with body height (r = +0.48), and the result is highly significant (p < 0.01).

Keywords

• anthropometric variables
• body surface area
• peak expiratory flow rate (PEFR)
• peak flow meter
• smoking