scholarly journals Study of body mass index (BMI) and lipid profile of blood donors of north Indian population: a cross sectional study

2015 ◽  
Vol 6 (6) ◽  
pp. 425
Author(s):  
Somesh Raju ◽  
Basu Dev Singh ◽  
NS Verma ◽  
Sunita Tiwari ◽  
Jagdish Narayan ◽  
...  
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


Author(s):  
Shorya Taliyan ◽  
Sandeep Kumar Yadav ◽  
Bharat Kumar Gupta

Background: Sedentary daily life have an impact on the prevalence and incidence of metabolic syndrome disorder and results in development of type 2 diabetes mellitus, Dyslipidemia and metabolic disorders that aggravate the risk in the development of cardiovascular diseases (CVD). Methods: In our study Data of 92 males and 112 females, from the age group of 25 to 55 years were selected from December 2018 to July 2019 in a cross sectional manner. Blood sample (3 ml) was collected from each subject. Serum was separated by centrifuging blood at 3000 rpm for 10 min and analyzed for lipid profile by Siemens Dimension RXL max, wet chemistry analyzer. Body mass index (BMI) was calculated as weight in kilograms divided by the square of height in meters. Results: In our hospital based study we estimated the lipid profile in individuals categorized into two groups. (Group 1 BMI <25) and (Group 2 BMI ≥25), we found the values of  Triglycerides, LDL and VLDL in Group 1 are lower as compared to Group 2 values for same analytes. Conclusion: Our study found positive correlation between lipid profile and obesity. Results of this cross sectional study again prove that, Obesity predisposes individuals to metabolic syndrome associated ailments. Keywords: BMI, Lipid Profile, Metabolic Syndrome, Obesity, Dyslipidemia


2012 ◽  
Vol 23 (4) ◽  
pp. 1750-1767 ◽  
Author(s):  
J.S. Onésimo Sandoval ◽  
Jenine K. Harris ◽  
Joel P. Jennings ◽  
Leslie Hinyard ◽  
Gina Banks

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

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