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Study of Correlation Between Bmi and Pefr Rate in Rayalaseema Population G International Journal of Integrative Medical Sciences, Int J Intg Med Sci 2019, Vol 6(2):780-84. ISSN 2394 - 4137 DOI: https://dx.doi.org/10.16965/ijims.2019.106 Original Research Article STUDY OF CORRELATION BETWEEN BMI AND PEFR RATE IN RAYALASEEMA POPULATION G. Reen Prasoona, S Sarah Nightigale *. Assistant Professor, Physiology Kurnool Medical college, Kurnool, Rayalaseema, Andhra Pradesh, India. ABSTRACT Introduction: Obesity, waist-hip ratio, rather than Body Mass Index (BMI) explains large part of the variance in pulmonary gas exchange. Hence, present study will be taken up to study the correlation between BMR, and Peak Expiratory flow rate (PEFR) in healthy underweight, normal weight, and obese adults. Materials and Methods: The present cross section study conducted in the department of Physiology, Kurnool medical college, Kurnool, with randomly selected 100 health voluntaries from both the sexes of the age group 20-40 yrs. The height and weight were taken to calculated BMI and PEFR was recorded. Results: The mean PEFR values were significantly lower in obese group when compared to normal weight. BMI was significantly and negatively correlated with PEFR in both males and females. Conclusion: The isolated effects of obesity unassociated with other diseases must be identified and the analysis of those effects should be stratified so that obesity related dysfunction may be evaluated in detail. KEY WORDS: Body Mass Index, Obesity, and, Peak Expiratory Flow Rate. Address for correspondence: S Sarah Nightigale, Assistant Professor, Physiology Kurnool Medical college, Kurnool, Rayalaseema, Andhra Pradesh, India. E-Mail: [email protected] Online Access and Article Informtaion Quick Response code International Journal of Integrative Medical Sciences ISSN (P): 2394 - 6318. ISSN (E): 2394 - 4137 www.imedsciences.com Received: 19-03-2019 Accepted: 07-04-2019 Reviewed: 19-03-2019 Published: 24-04-2019 DOI: 10.16965/ijims.2019.106 Source of Funding: Self Conflicts of interest: None INTRODUCTION familial aggregation and low metabolic rate for Global warming, climate change and extremes a given body size and body composition is a risk of temperatures are causing the environmental factor for body weight gain [3]. BMR has associated harmful toxic air pollution over the frequently been the main focus of attention in last four decades [1]. More specifically in the the studies on the developments and treatment Kurnool districts drastic climatic changes and of obesity. Generally, BMR depends on body factories the effect of respirable suspended composition as expressed by Fat Free Mass particulate matters and other noxious environ- (FFM) and fat mass and depends on gender, age, mental hazards such as nitrogen dioxide, physical activity and nutritional status [4]. 24 Sulphur dioxide, and carbon monoxide on respi- hour energy expenditure was higher in male ratory performance is also poorly understood [2]. individuals than female individuals after adjust- The available data on the suspended particu- ing for differences in fat-free mass, fat mass late matters in air of Kurnool. Metabolic Rate and age. Male individuals tend to have higher (BMR) is one of the major components consti- BMR after adjusting for differences in body tuting 60-70% of total daily energy expenditure. composition, age and activity [3], and There The rates of energy expenditure show strong exists an inverse relationship between age and Int J Intg Med Sci 2019;6(2):780-84. ISSN 2394 - 4137 780 G. Reen Prasoona, S Sarah Nightigale. STUDY OF CORRELATION BETWEEN BMI AND PEFR RATE IN RAYALASEEMA POPULATION. BMR. The age-related decline in BMR was due to take a deep breath in, and closed the lips to a reduction in FFM. Finally, anthropometric firmly around the mouthpiece, making sure that predictors of BMR were as accurate as body no air leaks around the lips. The subject was composition [4]. asked to breathe out as hard and as fast as Many studies have demonstrated associations possible and the around the lips. The subject between ventilatory dysfunction and excess was asked to breathe out as hard and as fast as weight or body fat distribution. A central pat- possible and the number indicated by the tern of fat distribution is negatively associated cursor was noted and the sequence was with respiratory function in elderly persons [5]. repeated twice more, thus obtaining three read- Obesity reduces thoracic wall compliance by ings. The highest or best reading of all three restricting diaphragm movement and thoracic measurements was taken as the peak flow rate. cage expansion. It has also been suggested that Statistical analysis was done using SPSS version waist-hip ratio, rather than Body Mass Index 11.0 and Microsoft office excel 2007.Values were (BMI) explains large part of the variance in analyzed based on weight, BMI, and PEFR. pulmonary gas exchange [6]. Hence, present Correlation analysis will be performed to assess study will be taken up to study the correlation the relationship between different parameters between BMR, and peak Expiratory flow rate by Pearson’s correlation coefficient. (PEFR) in healthy underweight, normal weight, and obese adults. RESULTS MATERIALS AND METHODS Randomly selected 100 health voluntaries from The present cross section study conducted in both the sexes 49 males (49%) and 51 females the department of Physiology, Kurnool medical (51 %) were included in the study, most college, Kurnool, with randomly selected 100 common age group is 20 – 40 years. Subjects health voluntaries from both the sexes of the will be classified into 3 groups as per WHO age group 20-40 yrs, physically and mentally fit, recommendation depending upon BMI. 9 Under non-smokers, no acute respiratory illness or no weight (male: 2, Female:7), 28 Normal weight medical complication were included in the study. (male: 16, Female:12), 45 Over weight (male: Family history and personal history along with 24, Female:21) and 18 Obese (male:7, the resting pulse rate and blood pressure was Female:11). recorded. Height (cm) and weight (kg) of the Table 1: Comparison of Physical parameters and PEFR in subjects will be recorded and BMI calculated as between the males and females. per Quetelet’s index [7]. Variables Male Female P-value Weight (kg) Age (yrs) 30.122 ± 5.50 29.117 ± 5.46 >0.05 BMI = 2 Height (m ) Weight (Kg) 73.612 ± 12.44 62.774 ± 13.15 <0.001 Subjects were classified into 3 groups as per Height (Mts) 1.672 ± 0.08 1.556 ± 0.05 <0.001 WHO recommendation depending upon BMI as BMI (Kg/m2) 26.254 ± 4.37 26.059 ± 5.78 >0.05 follows: PEFR (lit/min) 479.183 ± 50.40 309.80 ± 81.42 <0.001 Under weight : < 18.5 (kg/ m2 ) There is statistically deference was found in the 2 Normal weight : BMI = 18.5 – 24.99 (kg/ m ) PEFR (lit/min) between males and female. Over weight : BMI = 25.0 – 29.99 (kg/ m2 ) DISCUSSION Obese : BMI > 30 ( kg / m2 ) Peak Expiratory Flow Rate (PEFR): The peak The magnitude of the upswing in overweight and expiratory flow rate was determined as previ- obesity prevalence has been truly astonishing. ously described [8]. Using Wright’s peak flow It has now become an important health meter. The subjects were asked to stand in an problem in developing countries particularly in upright position with the peak flow meter held India. The consequence of industrialization and horizontally in front of their mouth and allowed urbanization which lead to decrease in physical Int J Intg Med Sci 2019;6(2):780-84. ISSN 2394 - 4137 781 G. Reen Prasoona, S Sarah Nightigale. STUDY OF CORRELATION BETWEEN BMI AND PEFR RATE IN RAYALASEEMA POPULATION. Table 2: Comparison of Physical parameters and PEFR in between the groups. Variables Under Weight Normal Weight Over Weight Obese p-value Male 22.5 ± 0.70 28.56 ± 5.64 30.87 ± 4.62 33.28 ± 6.42 <0.005 Age (yrs) Female 23.285 ± 3.03 27 ± 3.35 29.476 ± 5.24 35.454 ± 3.95 <0.001 Male 47.5 ± 3.53 66 ± 7.76 76.12 ± 7.29 89.85 ± 12.95 <0.001 Weight (Kg) Female 42.357 ± 5.022 53.75 ± 5.50 66.761 ± 4.96 78 ± 9.43 <0.001 Male 1.675 ± 0.003 1.679 ± 0.07 1.683 ± 0.07 1.621 ± 0.11 >0.05 Height (Mts) Female 1.574 ± 0.072 1.578 ± 0.059 1.554 ± 0.055 1.522 ± 0.041 >0.05 Male 16.975 ± 1.98 23.010 ± 1.36 26.885 ± 1.35 34.157 ± 3.10 <0.001 BMI (Kg/m2) Female 17.052 ± 0.879 21.648 ± 2.683 27.646 ± 1.378 33.573 ± 3.043 <0.001 Male 420 ± 42.42 500.62 ± 39.40 491.66 ± 33.05 404.28 ± 48.94 <0.001 PEFR (lit/min) Female 297.14 ± 91.78 401.66 ± 28.23 309.52 ± 59.28 218.18 ± 26.76 <0.001 The difference of the mean value of PEFR between Underweight, normal weight, overweight and obese were found statistically significant in the males (<0.001) and females (<0.001). Table 3: Comparison of PEFR between underweight, correlation between body mass index and PEFR normal weight, over weight, Obese subjects. in adult of both sexes between the age group of Variables Male Female 20 – 40 year. It was observed that mean PEFR Normal weight <0.05 <0.01 value was significantly higher in male Under Weight over weight <0.01 >0.05 (479 ± 50.4) subjects in comparison to female obese >0.05 <0.05 (309 ± 81.42) subjects. This may be due to Under Weight <0.05 <0.01 significant higher value of mean standing height Normal weight over weight >0.05 <0.001 along with muscular force in male subjects (p=<0.001) as compared to female.
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