IAP2015 charts are better representative of healthy children of current generation and may be used to prevent inappropriate classification in present scenario.
Background: Cardiovascular Diseases (CVD’s) remain the biggest cause of death worldwide. Recent trends suggest that disease incidence has escalated and has started affecting younger age group also. Incidence of CVD’s has been on increasing trend not only in urban areas but in rural areas also. Aim of this research is to study clinical profile and complications in patients undergoing coronary angiography.Methods: 100 patients admitted in hospital who were planned for coronary angiography were selected. All routine investigations, Hba1c if patient is known diabetic, Serology, ECG, CXR were done at the time of admission. General physical and local examinations were performed at the end of procedure, after 12, 48 and 72 hours of coronary angiography.Results: Acute Myocardial Infarction (AMI) is the commonest indication for CAG in this study group. Out of 100 patients who underwent CAG, complications occurred in 29 individuals. Only 3 types of complications- Haematoma, Anaphylactoid reactions and Contrast Induced Nephropathy (CIN) are observed in this study.Conclusions: Hypertension, obesity, family history of IHD in first degree relatives and DM are important risk factors for IHD. Most common complication of CAG is haematoma. Females patients are more predisposed for all complications DM, HTN, advanced age and CHF are independent risk factors for developing CIN.
Background: Aim of the study was to study relationship between Glycemic control and presence of coronary artery disease on clinical presentation with acute coronary syndrome (ACS). We used blood sugar levels (Fasting and post prandial) and HbA1c as parameter for evaluation of glycemic control, Gensini score was used as a parameter for evaluation of severity of coronary artery disease.Methods: The analysis of 1200 patient’s data were performed to reveal demographic characteristics, correlation of the diabetes control with severity of the ACS. A sub-set of 200 subjects that was collected with a focus to include diabetic and non-diabetic subjects in proportion 1:2 was performed.Results: The Pearson correlation between HbA1c and Gensini score (r=0.0444) was poor the correlation between fasting blood sugar (FBS) and Gensini score (r=0.0586), and between post prandial blood sugar (PPBS) and Gensini score (r=0.0549), between random blood sugar (RBS) and Gensini score (r=0.0331) all indicative of poor correlation. Duration of diabetes and Gensini score revealed r=-0.039. The. Correlation was poor to moderate with one sided ANOVA and consistent on comparing r-sq values between, HbA1c and Gensini Score [rsq=49.62 (p<0.001)], FBS and Gensini score [rsq=32.19 (p<0.001)], PPBS and Gensini score [rsq=25.39 (<0.001)], RBS and Gensini score [rsq=42.49 (p<0.001)] and duration of diabetes and Gensini score [rsq=19.61 (p<0.001)].Conclusions: There was no correlation evident between diabetes and Gensini dcore. The analysis was suggestive of possible strong relationship between diabetes control and IHD severity. There is no correlation between Diabetes and ACS severity. However, better diabetes control is related with better ACS profile.
Background: Measurement of physical activity is a challenging and complex procedure. Objective assessment of physical activity can help to overcome errors incurred by subjective methods like PAQs. Hence, this study was planned to compare measurement of physical activity subjectively using IPAQ and objectively using pedometer in young adults.Methods: Young adults in the age group of 18-22 years were included in the study. Detailed history of physical activity was taken using IPAQ (International Physical Activity Questionnaire) for subjective measurement of physical activity. Participant’s physical activity was measured with the help of pedometer for objective assessment of physical activity.Results: There was no statistically significant difference in measurement of physical activity by subjective and objective methods. IPAQ overestimates physical activity.Conclusions: In this study, there was no statistically significant difference in subjective and objective methods of physical activity assessment. Study concludes subjective method overestimates physical activity than objective method.
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