INTRODUCTION: Obesity, a chronic non-communicable disease, as indicated by the World Health Organization (WHO), is one of the most rapidly growing health problems worldwide. Obesity affects the respiratory functions and impairs the gas exchange, leading to alterations in pulmonary function tests (PFT).Younger generation and medical students are no exception in regards to the detrimental effects of obesity.Forced vital capacity (FVC),Forced Expiratory st Volume in 1 second (FEV ), Peak Expiratory Flow Rate (PEFR) are reliable pulmonary function tests to diagnose any 1 respiratory disorder.In this study,FVC,FEV ,PEFR of medical students were assessed to find their relationship with Body 1 Mass Index (BMI). MATERIALS AND METHODS:A institution based cross-sectional observational study was done in Dept.of Physiology,Jorhat Medical College including the undergraduate medical students.Sample size was calculated as 160 using EpiTools Software.Height in centimeters,weight in kilograms and digital spirometry of 160 students were recorded. In case of more than two variables, P values were calculated using Anova Test and p value < 0.05 was considered significant. RESULTS: FVC,FEV ,PEFR all were decreased in overweight and obese students compared to 1 normal weight students and our observation was statistically significant in case of FEV and PEFR by Anova test (p value: 1 0.0335 and 0.0428 respectively. CONCLUSION: Changing of life style that includes performing regular physical exercises,yoga,meditation,sticking to a routine time table for sports,study and sleeping hours and regular health check up in the form of Height,Weight, Spirometry could be beneficial for the students to prevent obesity related pulmonary ailments.
Introduction: Across the world the prevalence of hypertension and other cardiovascular diseases are increasing at an alarming rate. These diseases also affect the young age and medical students are no exception. In this study, ECG variables like R-R interval, QRS Axis of the medical students along with their Blood pressure were recorded and the relationship between ECG variables and Blood pressure was studied. Materials and methods: The study was done in Dept. of Physiology, Jorhat Medical College. Sample size was calculated as 160 using EpiTools Software. Recording of Electrocardiogram and Blood pressure of 160 students were done. P values were calculated by Anova test in case of > two variables. Tukey HSD test was used for Post hoc analysis. Scatter diagrams were used to see relationship between study variables. P value <0.05 was considered as significant. Results: Comparison of ECG Variables between hypotensive, normotensive and hypertensive students showed that R-R Interval decreased significantly from 21.37 ± 4.24 in hypotensives to 19.74 ± 3.39 in normotensives and 18.27 ± 4.07 in hypertensive students. QRS Axis decreased from 75.35 ± 10.99 degrees in hypotensives to 54.80 ± 34.94 degrees in normotensives and 50.43 ± 25.59 degrees in hypertensive students. Conclusion: Changing of life style that includes reduced consumption of fat rich diets, fast foods, red meat and salt, performing regular physical exercises, and regular health check up in the form of Blood pressure and Electrocardiogram recording could be beneficial for the students to identify and take preventive measures against any cardiovascular ailments..
INTRODUCTION: Across the world the prevalence of hypertension and other cardiovascular diseases are increasing at an alarming rate. These diseases also affect the young age and medical students are no exception. In this study, ECG variables like R-R interval, QRS Axis of the medical students along with their Blood pressure were recorded and the relationship between ECG variables and Blood pressure was studied. MATERIALS AND METHODS: The study was done in Dept. of Physiology, Jorhat Medical College .Sample size was calculated as 160 using EpiTools Software. Recording of Electrocardiogram and Blood pressure of 160 students were done and saved for further analysis. P values were calculated by Anova test in case of more than two variables,. Scatter diagrams were used to see the relationship between study variables. The P value <0.05 was considered as signicant. RESULTS: Comparison of ECG Variables between hypotensive, normotensive and hypertensive students showed that R-R Interval decreased signicantly from 21.37±4.24 in hypotensives to 19.74±3.39 in normotensives and 18.27±4.07 in hypertensive students. QRS Axis decreased from 75.35±10.99 degrees in hypotensives to 54.80±34.94 degrees in normotensives and 50.43±25.59 degrees in hypertensive students. CONCLUSION: Changing of life style that includes reduced consumption of fat rich diets, fast foods, red meat and salt, performing regular physical exercises, and regular health check up in the form of Blood pressure and Electrocardiogram recording could be benecial for the students to identify and take preventive measures against any cardiovascular ailments.
Introduction: Haemoglobin is the red colour pigment present inside RBC. All the blood components are derived from the haematopoietic stem cells of the same bone marrow. Factors affecting the bone marrow also affects all the cells including the haemoglobin level and the platelet count. Less is known on the relationship between low or high level of haemoglobin on platelet count. This work was therefore carried out to determine this relationship. Materials And Methods: The study was done in Dept. of Physiology, Jorhat Medical College. Study population included 100 undergraduate medical students of age 18-25 years . Haemoglobin Estimation & Platelet Count will be measured by ACCUREX ACCULAB CBC 360+ HEMATOLOGY Analyser Machine. Ethical Clearance was obtained from Institutional Ethical Committee (H), Jorhat Medical College, Jorhat. Students unpaired t- test was used to compare the mean values of study variables and other parameters in relation to the study. The P value <0.05 was considered as significant. Results: We found that mean Hb count is 10.91±1.05 and 10.22±0.83 respectively when platelet count in between 1.5- 2.5 lakhs/mm3 and >2.5 lakhs/mm3. Mean Platelet count came 2.59±0.58 lakhs/mm3 and 1.89±0.62 respectively when Hb between 9 – 11 gm/dl and >11 gm/dl. Conclusion: The reason for the relationship between low and high platelet count on hemoglobin level may be linked to the normal physiology of hematopoiesis where the origin of all blood components occurs in the bone marrow. This leaves scope for further research to use in therapy like Plateletpheresis where lower hemoglobin concentrations meant higher platelet yield and vice versa.
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