Correlation Of Peak Expiratory Flow Rate Research Articles

Anthropometric Variables and PEFR

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).

Correlation of peak expiratory flow rate with age and anthropometric parameters in elderly (&amp;gt;65 years)

Background: Peak expiratory flow rate (PEFR) is of value in the identification of chronic bronchitis and for the assessment and follow-up of asthma. For these purposes, evaluation of an observed reading of PEFR required knowledge for its range in normal subjects. Aims and Objective: To determine the normal PEFR values in elderly men to establish local reference standards. Materials and Methods: The PEFR was measured in 96 healthy men aged ≥65 years of rural areas of Patiala district using the Mini-Wright peak flow meter in standing position. Best out of the three trials was recorded. Its correlation with age, anthropometric variables, body mass index (BMI), and body surface area (BSA) were calculated. Result: The mean PEFR in the age group of 65–74 years for males was 339.44 ± 35.51 L/min. The correlation of PEFR was negative and highly significant with age, positive and significant with height, and nonsignificant with weight, BMI, and BSA. Conclusion: It was concluded that with advancing age, the PEFR declines. The mean PEFR values of taller subjects were also higher.

Assessment of peak expiratory flow rate in preadolescent children of sub-tribal communities in Odisha

Background and Aim: Peak expiratory flow rate (PEFR) is considered to be a reliable index to assess the ventilatory functions of lungs. Gender is one of the important independent variables that influences PEFR value. Though there are studies on PEFR in tribal children, there is paucity of data regarding the gender differences in PEFR among tribal children. Therefore, the present study was undertaken to assess the effect of gender on PEFR in age‑matched, preadolescent tribal children in an urban area of Odisha and also to compare the same between the sub‑tribal groups. Methods: It is a cross‑sectional study conducted at a residential school in Bhubaneswar during the period from September 2011 to March 2012. Total of 1000 tribal children were selected from standard 4 and 5, of which 868 participants were included in the study. PEFR and anthropometric measurements were recorded in these subjects. Students ‘t’ test and one‑way analysis of variance were used to test the difference in various parameters among the gender and sub‑tribal groups, respectively. Association between anthropometric parameters and PEFR was determined using correlation analysis. Results: The mean ± SD age in years of the boys and girls were 9.87 ± 1.5 and 9.75 ± 1.2, respectively. The mean ± SD of PEFR in L/min was significantly (P < 0.001) more in boys (255.34 ± 65.60) than in girls (210.59 ± 55.70). The boys showed a better correlation of PEFR with weight, height and chest circumference than did the girls. PEFR values significantly differed between the subtribal groups (P < 0.001). The anthropometric variables showed a positive correlation with PEFR in all the subtribes. While Santala and Munda subtribes showed maximum correlation of PEFR with weight and height, the chest circumference was well correlated with PEFR in Soura and Bonda subtribes. Conclusions: The mean PEFR of the tribal boys is higher than those of the tribal girls of Odisha. Height, weight and chest circumference were observed to be better correlated with PEFR in boys when compared to girls, among the sub‑tribal groups of Odisha.

Peak Expiratory Flow Rate In Healthy Rural School Going Children (5-16 Years) of Bellur Region For Construction of Nomogram

Peak Expiratory Flow Rate (PEFR) recording is an essential measure in the management and evaluation of asthmatic children.It is helpful in monitoring disease progression and response to treatment. The PEFR can be measured by a simple instrument-peak expiratory flow meter. To construct nomogram of PEFR in healthy rural school going children from Mandya district of Karnataka state, India and to use these nomograms for comparison with that of children with obstructive lung diseases for this region. The study was conducted on Healthy rural school going children, both boys and girls between the age group of 5-16 years. For the determination of PEFR we used Mini Wright Peak Flow Meter. At three time measurement, the highest value of PEFR was recorded. Formula for prediction of PEFR was estimated by linear regression analysis after the correlation of PEFR with age and height for both boys and girls. PEFR was measured in 1028 children aged 5 to 16 years by using Wright's mini peak flow meter. Prediction equations were derived for PEFR with height in boys and girls. Normograms were plotted based on the observed values of PEFR in the study population. Significant linear correlation was seen of PEFR with height in boys (p<0.001, r=0.7624) and in girls (p<0.001, r=0.8825). Prediction equation for PEFR are -317.43 + 4.40 x height (cm) in boys and - 321.21 + 4.25 x height (cm) in girls. Reference values of PEFR are affected by regional, environmental and anthropometric factors. Hence, it is necessary to have regional reference values for children. Among different factors affecting PEFR, height correlates better with PEFR than weight and sex. Hence nomograms constructed can be used for this region.