Assessment of Anthropometric Measures and Prediction of Obesity among Selected Nursing College Students Abirami P.1,*, Selvi Silambu2, Jayabharathi B.1, Kanniammal C.3 1Professor, SRM college of Nursing, SRM Institute of Science and Technology, Kattankulathur, Tamil Nadu 2Associate Professor, SRM college of Nursing, SRM Institute of Science and Technology, Kattankulathur, Tamil Nadu 3Dean, SRM college of Nursing, SRM Institute of Science and Technology, Kattankulathur, Tamil Nadu *Corresponding Author: Abirami. P, Professor SRM College of Nursing, SRM IST, Kattankulathur e-mail: abiramikarnamurthy@gmail.com
Online published on 21 November, 2019. Abstract Introduction Obesity is a global epidemic that affects 500 million people worldwide and is predicted to increase to one billion people by 2030. Overweight and obesity are linked to more deaths worldwide than underweight. Obesity is now also a global epidemic Objective The aim of the present study was to estimate the prevalence of overweight and obesity among selected nursing college students and to explore the association between BMI with Waist Hip ratio Method A Quantitative approach and Descriptive survey design was conducted on a sample of students who were studying in the SRM College of Nursing during the academic year 2015–2016. A Non Probability convenient sampling technique was used to select a sample. The Sample size was 200. Based on the Inclusion and Exclusion Criteria the Sample were selected. The tool comprises of two sections. Section A: Demographic variables and Section B: Anthropometric measurements. A total of 203 students who fulfilled the inclusion criteria were chosen as samples using non-probability convenient sampling technique. The study was conducted at SRM College of Nursing, Kattankulathur. Results Our study included 203 students at SRM college of Nursing. We found that 11.8% of the studied participants (24 students) were overweight, 1% (2students) were obese and 56.7% (115 students) represent normal and 30.5%(62 students) were underweight. The p-value from the table above is less than 0.05 showed that there is significant association between “BMI” and “WHR” at 5% level of significance. Conclusion The Waist hip ratio (WHR) is a simple measure of central obesity. WHR was shown to be a good predictor of health risk Top Keywords Obesity, Global epidemic, prevalence, Overweight. Top |