The study included ACE gene I/D polymorphism and its association between high altitude hypertension. Genetic, biochemical, anthropometric and Physiometeric results were analyzed using statistical software. The results were non-significant for I/D polymorphism.Objective: ACE is the major enzyme of hypertension and with most commonly reviewed I/D polymorphism. High-altitude exposes various physiological and biochemical changes, which contributes a rise in systemic blood pressure of the body. There are very few studies available in North-India, with a core focus on the high altitude hypertension. Therefore, a current study supported an interest to find out the association of high altitude hypertension with ACE gene I/D polymorphism.Methods: to study the significant association with respect to altitude, genetic, biochemical, anthropometric and physio-metric comparison were conducted among 98 individuals where 489nbeing hypertensive patients and other half being normotensive, inclusive of both males and females. The entire results were finally examined and analyzed using statistical software SPSS 16.0 version.
Results:According to study results, mean arterial blood pressure and triglycerides were significantly (p<0.05) associated with SBP among both hypertensive and normotensives. Whereas HDL, LDL-HDL ratio, CHO-HDL were significantly associated only among hypertensive, and age, PP, and SpO2 have been significantly (p<0.05) associated with SBP among normotensive, a strong predictor for SBP.
Conclusion:The genotypic observations were visibly linked with the disease, however, the results were statistically non-significant (ID/DD vs. II; OR: 0.54, 95% CI: 0.20-1.44, p= 0.217). A further study with considerate knowledge of noteworthy dynamics, mainly, altitude, population size, and ethnicity are recommended.
Background: The objective of the present study was to compare the relationship of anthropometric and physiometric characteristics using principal component factor analysis among three groups of type 2 diabetic subjects such as males, pre and postmenopausal females in North Indian Punjabi population. Method: A total of 349 type 2 diabetic subjects (males 157; females 192; 88 pre and 104 postmenopausal) were ascertained for the present study. Different anthropometric and physiometric measurements were taken. Principal component factor analysis (PCFA) was applied to identify the components which are more close to type 2 diabetes among the three groups. Results: PCFA revealed five uncorrelated components which explained 79% of the total variance among diabetic males and six unrelated components which explained 78% of the total variance among pre and postmenopausal females. The important two factors could be identified as central obesity (factor 1) and blood pressure (factor 2) among these three groups. Conclusion: Higher clustering of obesity and blood pressures were found in diabetic males as com pared to pre and postmenopausal diabetic females in North Indian Punjabi population whereas, waist to hip ratio (WHR) has maximum loading in postmenopausal females as compared to others
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.