scholarly journals Study of Body Mass Index among Medical Students of a Medical College in Nepal: A Descriptive Cross-sectional Study

2021 ◽  
Vol 59 (235) ◽  
Author(s):  
Reena Kumari Jha ◽  
Abhyuday Kumar Yadav ◽  
Sneha Shrestha ◽  
Pramit Ram Shrestha ◽  
Suyesh Raj Shrestha ◽  
...  

Introduction: Changes in the lifestyle, food habits, lack of nutritious diet, stress, physical inactivity increases the body mass index among adults. Excess weight gain is an important risk factor for non-communicable diseases such as heart disease, stroke, diabetes, and some cancers (endometrial, breast, colon). Thus, this study aims to find out body mass index of medical students of a medical college in Nepal. Methods: This descriptive cross-sectional study was conducted in the department of physiology of a tertiary care center from August 2019 to February 2020 after taking ethical clearence from Institutional Review Committee (Reference number 192/19). Height and weight were recorded and body mass index was then being calculated. Data entry was done in Microsoft Excel and analyzed using Statistical Package for the Social Sciences version 22. Results: Out of 266 medical students, 39 (15%) were overweight and 32 (12%) were underweight with mean body mass index 26.60±1.99kg/m2 and 17.13±1.19kg/m2 respectively. Mean body mass index of males was 21.76±3.06kg/m2 and that of females was 21.70±2.96 kg/m2. Conclusions: Comparing with a similar study done in Nepal previously, we found a higher prevalence of overweight in medical students whereas majority of medical students had normal weight. Factors affecting body mass index in medical students should be explored further.

2018 ◽  
Vol 17 (1) ◽  
Author(s):  
Sameer Al-Ghamdi ◽  
Mamdouh M. Shubair ◽  
Abdulrahman Aldiab ◽  
Jamaan M. Al-Zahrani ◽  
Khaled K. Aldossari ◽  
...  

2021 ◽  
Vol 15 (10) ◽  
pp. 2831-2832
Author(s):  
Ambreen Asif ◽  
Kashif Aziz Ahmad ◽  
Sohaib Akbar ◽  
Talha Munir

Objective: frequency of dyslipidemia in obese subjects Methodology: In this was a cross sectional study, we included a total of 100 cases, between 30 and 70 years of age of either gender having body mass index >30 whereas we excluded all those cases who were already taking treatment of dyslipidemia. A fasting blood sample was followed for lipid profile from the hospital lab and results were followed for presence/absence of dyslipidemia. Results: In this trial, mean age was 44.57+8.52 years. Mean lipid profile was recorded as 210.17+36.73 total cholesterol, 178.83+12.10 triglycerides, 133.55+9.74 LDL and 34.42+6.58 HDL. Mean Body mass index was calculated as 34.11+7.25. Frequency of dyslipidemia in obese subjects was recorded as 51%(n=51) Conclusion: We concluded that frequency of dyslipidemia is higher in obese subjects coming to a tertiary care hospital Lahore. So, it is recommended that every patient who present with obesity, should be sort out for dyslipidemia. However, it is also required that every setup should have their surveillance in order to know the frequency of the problem Keywords: Obese, dyslipidemia, frequency


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