Prevalence Of Low Back Pain In Armed Forces

OBJECTIVE:To estimate the incidence and risk factors for developing low back ache in active duty military population considering age, sex, rank, and duration of military service. METHODS:A cross-sectional data was collected and compiled which included all the admissions at various service hospitals in the last seven years (2012 to 2018). The data base of all the armed forces hospital admissions was compiled to estimate the prevalence of low backache and evaluate possible causative factors of low backache in armed forces. RESULTS:There were total of 35560 armed forces personnel admissions in service hospitals from 2012 to 2018. The prevalence of low backache was higher in the infantry followed by artillery and then the supporting arms. The most prevalent age group was from 25 -35 years with 10 -15 years of service. CONCLUSIONS:The relatively high incidence of low backache among general duty soldiers were related to age of the personnel, the trade (occupation), the duration of service. General duty soldier is working under extreme psychological stress, harsh terrain, often without adequate rest and With a constant threat to life. The poor back posture, improper use and lack of spine care exacerbates the back ache .The vigorous stress and strain of military activities like assault course, lifting heavy weights and frequent night training also contributes to the low backache.

The Estimation of Genetic and Phenotypic Parameters of Growth Curve Traits in Sirohi Goat Using Brody Function

The objectives of this study were to investigate growth patterns of Sirohi goat applying the Brody function and estimated the parameters of growth curve including genetic evaluation of growth curve traits. The data used in this study, collected in All India Co-ordinated Research Project (AICRP) on goat improvement, Livestock Research Station, Vallabhnagar, Udaipur, India from year 2009 to 2017 and were included 340 male and 715 female kids body weight measured at birth to 12th month of age in every three months interval. Least-squares means for growth curve parameters of A (Asymptotic weight), B (folding point of growth) and K (maturity rate) were 26.18±3.11 (kg), 0.88±0.00 (kg) and 0.16±0.00 (days), respectively. Fixed effects (cluster, year and season of birth, sex, and type of birth) were significantly influenced the parameters of growth curve. The heritability estimates ranged from 0.02±0.01 (“K”) to 0.40±0.05 (“A”). The genetic correlation between A-K and B-K was negative, which might be due to the compensatory growth effect