Background: Testing the grip strength is a useful screening tool in managing chronic wrist pain. Normal hand grip strength is positively related to normal bone mineral density in postmenopausal women, with some researchers suggest that grip strength can be a screening tool for women at risk of osteoporosis. Grip strength is predictive of increased mortality from cardiovascular disease and from cancer in men. Aims & Objective: The objective of this study was to establish the correlations between anthropometric data like forearm circumference, hand circumference, and Body Mass Index (BMI) with maximal grip strength (MGS) in order to establish a simple model to predict normal MGS based on anthropometric measurements. Materials and Methods: Forty males and 40 females in the age group 17-19 years were recruited for the study. MGS was measured with a computerized Hand Dynamometer (AD Instrument, Australia). BMI, forearm circumference and hand circumference were measured. The circumference was measured by flexible measuring tape. Pearson's correlation coefficient test was applied to evaluate the correlation. Results: There was a positive correlation between all anthropometric data and MGS in both males and females. The hand circumference had the strongest correlation with MGS in both males and females for right hand. However, the correlation was observed only in females for the left hand. Conclusion: Hand circumference is a good indicator to predict normal MGS than BMI and forearm circumference.

Results: Thyroxine (T 4 ) and tri-iodothyronine (T 3 ) levels showed no difference between the normal pregnancy (9.03 ± 1.18, 1.21 ± 0.3) and pre-eclampsia patients (10.16 ± 1.13, 1.25 ± 0.11), but the thyroid-stimulating hormone (TSH) levels in pre-eclampsia patients were increased (7.22 ± 1.3) when compared to normal pregnancy (p = 0.0001). Conclusion:There was no significant difference in the thyroxine (T 4 ) and tri-iodothyronine (T 3 ) levels in two groups, but there was a significant increase in thyroid stimulating-hormone (TSH) levels in pre-eclampsia patients (7.22 ± 1.3) compared to normal pregnancy (2.48 ± 1.05) (p = 0.0001).

fat distribution is a more important determinant of disease risk. [7-9] A high proportion of abdominal fat has been indicated as a risk factor for diabetes, hypertension, and CVD. [10-12] Unfortunately, there is no standard measure of abdominal obesity that is widely accepted. Although, the majority of studies recommend waist circumference (WC) as a better indicator of abdominal obesity and a better predictor for cardiovascular risk than either BMI or waist-to-hip ratio (WHR), such findings have not been confirmed in Asians. [13-17] The best index of obesity that is predictive of cardiovascular risk still remains controversial. The present study was designed to evaluate the correlation between anthropometric data such as BMI and WHR with cardiovascular parameters such as systolic blood pressure (SBP) and diastolic blood pressure (DBP). Materials and Methods This was a cross-sectional observational study that included a clinically healthy sample of 150 subjects (75 men Background: Abdominal obesity judged by increased waist-to-hip ratio (WHR) is an important risk factor for atherosclerosis. One of the mechanisms postulated by which truncal obesity increases coronary risk is high blood pressure (BP). It is essential to identify the best anthropometric index in any population to predict cardiovascular risk. Objective: The objective of this study was to establish the correlations between anthropometric data such as body mass index (BMI) and WHR with BP. Materials and Methods: A representative clinically healthy sample of 150 individuals (75 men and 75 women) aged between 20 and 80 years was selected and anthropometric indices and BP were measured according to standard protocol. Pearson's correlation coefficient test was applied to evaluate the correlation. Result: There was a positive correlation between BMI and WHR with BP in both the male and female subjects. The WHR had strongest correlation in men and women with both systolic and diastolic BPs. Conclusion: It can be concluded that WHR is a better predictor of cardiovascular risk than BMI.

Background: The peripheral leucocyte count is an important predictor of morbidity and mortality. Hence, host and environmental factors influencing the peripheral leukocyte count are of interest. The influence of smoking on Total Leucocyte Count and Differential Leucocyte Count was investigated. Aims & Objective: To see the influence of smoking on Total Leucocyte Count (TLC) and Differential Leucocyte Count (DLC). Materials and Methods: Total Leucocyte Count and Differential Leucocyte Count were estimated in 100 males (50 smokers and 50 non-smokers) by hemocytometry and peripheral smear method respectively. The counts were expressed in Mean ± SD. Statistical analysis was done by student's t test. Results: There was statistically significant increase in TLC and in subtypes of leucocytes like eosinophils and lymphocytes in smokers. Conclusion: Findings of our study may help the motivate efforts to stop smoking.