Background: As per global status report on road safety 2015, 1.25 million road traffic deaths occurred every year. Most common cause of death among those aged 15-29 years was road traffic accidents. The objectives of the study were to study the socio-demographic profile of the victims of road traffic accidents, to identify the risk factors responsible for road traffic accidents and to identify the various presenting injuries of road traffic accident victims.Methods: It was a Hospital based cross sectional study. Victims of road traffic accidents attending casualty during July 2011 – June 2012 were studied. A pretested semi structured questionnaire was administered. A total of 280 road traffic accident victims were interviewed during the study period. Data was entered in Microsoft excel sheet and analyzed using Statistical Package for Social Sciences (SPSS) version 20. Results were expressed as proportions for different study variables.Results: Out of the 280 victims, majority 206 (73.57%) of study participants were males. The highest numbers of victims (34.20%) were between 21-30 years of age group. 40.71% were using two wheelers. Most of the accidents took place in the evening (6 pm to 12 am) i.e. 39.10%. Most common site of presenting injury was lower limb (40.71%). In this study 22.5% were under influence of alcohol while driving.Conclusions: Road traffic accidents were more in young age groups and in males. Road safety education should be promoted.

Background: Low birth weight babies have less chances of survival during first year of life.Appropriate and timely care of a newborn especially if he is born with low birth weight is important but this is difficult in developing countries. There is a need to develop simple, inexpensive and practical methods to identify low birth weight newborns soon after birth.Methods: A hospital based Cross sectional study was carried out on 965 live born neonates who were born during one year period. All the anthropometric measurements are taken within 24 hours of birth. Pearson’s correlation was done to assess correlation of various anthropometric parameters with birth weight.Results: Out of 965 live born neonates, 510 (52.8%) were male babies and 455 (47.2%) were female babies. 289 (29.9%) babies had birth weight less than 2500 gms. The highest correlation among all measurements was observed between birth weight and mid arm circumference while the least correlation was between birth weight and crown heel length. AUC value for ROC curves is highest for Mid arm circumference (0.917) which shows that it is a better surrogate predictor of low birth weight (<2500 gms) in our study as compared to other anthropometric parameters.Conclusions: Measurement of mid arm circumference is easier, convenient and statistically superior to other anthropometrical parameters in detection of low birth weight newborn babies.