Correlation of Body Mass Index with Pulmonary Function Tests in North Indian Females

Abstract

Introduction:Obesity is becoming one of the serious public health problems of modern world with rapidly changing lifestyles involving consumption of high calorie foods with decreased physical activities. Spirometery is the initial screening tool for pulmonary diseases. The aim of this study was to evaluate the prevalence of deranged BMI, pulmonary function tests and correlation between BMI and pulmonary function test. Material and methods:This study was done on 300 female subjects in the age group of 18-25 years including 150 from rural area and 150 from urban area of North Indian populations. Various anthropometric measurements (height, weight) were taken. BMI was calculated. Parameters of pulmonary function tests such as FVC, FEV1,FEV1/FVC,FEF25-75%,PEFR were measured by spirometer. Results:The mean value of BMI in rural and urban population is (23.33±4.75) and (22.55±4.57) respectively. On comparing Pulmonary function parameters of both the population, all the parameters were significantly higher in urban population except FEV1/FVC. Conclusion:Prevalence of deranged BMI was significantly higher in rural population. Negative correlation found between BMI with Pulmonary function tests in both population except FEV1 and FVC which showed positive correlation in urban population.

Effects of Obesity and Spirometric Ventilatory Status in Male Medical Students of Amritsar

“…24 Other studies by Kharodi et al, Ashraf et al, Biring et al, and Ahmed and Morgan also stated that obesity was associated with a significant decline of FEV 1 . 3,14,25,26 Contrary to our study, a study by Bhattacharjee et al showed a significant increase in FEV 1 with obesity. 21 In the present study, PEFR declined non-significantly (p >0.05) in group B when compared to group A as shown in Table 2.…”

“…A study by Kharodi et al revealed a significant decrease in pulmonary function tests in overweight and obese females who do not have any known obstructive airway disease. 3 The accumulation of fat may mechanically affect the expansion of the diaphragm, probably by encroaching into the chest by the chest wall or diaphragm 28 or by impending the descent of the diaphragm during forced inspiration. 18 Low FEV 1 and FVC values suggest restrictive lung pattern among obese persons.…”

“…1,2 Obesity has reached an epidemic proportion in India in the 21st century with morbid obesity affecting 5% of the country's population. 3 It is a cluster of disease that comprises multiple cardiovascular risk factors, such as insulin resistance, dyslipidemia, glucose intolerance, hypertension, dyslipidemia, type II diabetes mellitus, coronary heart disease, cerebral stroke, gall bladder disease, osteoarthritis, some cancers, 4 aspiration pneumonia, pulmonary thromboembolism, obstructive sleep apnea, obesity hypoventilation syndrome, and respiratory failure, which are associated with substantial morbidity and increased mortality. 5 Obese subjects consume approximately 25% more oxygen than nonobese subjects at rest.…”

“…It can diminish exercise capacity by its adverse effects on respiratory mechanics, resistance in the respiratory system, respiratory muscle function, and lung volumes. 3 Obesity causes airflow limitation with reduction of both forced expiratory volume in first second (FEV 1 ) and forced vital capacity (FVC) and reduces lung volumes, especially expiratory reserve volume (ERV), and functional residual capacity (FRC), obstructive sleep apnea, a depressed central ventilatory drive. 6 Abdominal obesity has the strongest relationship with pulmonary function deterioration.…”

Dynamics of Pulmonary Functions based on Body Mass Index Categories in Wet-Blue Leather Tannery Workers

“…The results were in line with the findings of Attaur-Rasool et al, (2012), who reported that FEV1% and FVC% were negatively correlated with BMI in both males (P < 0.001) and females adults (P < 0.022). Another study backed up the present findings that all pulmonary functions negatively correlate with BMI in the rural population (Kharodi et al, 2019).…”