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Background- Increased responsibility and high demands of studying at medical school can also be associate with Obsessive Compulsive symptoms in general so they need to be mindful all the time to grasp knowledge and handle responsibility so that this study was to correlate and analyse mindfulness among OT UG along with their OCD symptoms. Aim-To study the correlation between obsessive compulsive symptoms & mindfulness among OT UG. Objectives - Measure the Obsessive-Compulsive symptoms & Mindfulness attention awareness among OT UG. Study Design-A cross sectional study design. Methods- Written consent from participants was taken. Paper-based version of the Obsessive Compulsive Inventory (OCI) scale and Mindful Attention Awareness Scale(MAAS) were used to assess Obsessive-Compulsive symptoms & Mindfulness among OT UG Occupational therapy students (I to IV year) from School of occupational therapy. Result – Occupational therapy UG students Conclusion– Decrease in Obsessive Compulsive symptoms is leading to increase in mindfulness.

The field of orthodontics in its new era is stepping ahead to newer technologic perspective. Additive manufacturing is a relatively new technology with rapidly growing range of applications in many fields of medicine and dentistry. A paradigm shift has constituted the progression from gypsum laboratory to 3-Dimensional printing. 3D printing is now easily accessible for orthodontists, being a reliable and costeffective manufacturing method, which may be used in many aspects of orthodontic practice, and its potential is still growing. The article gives necessary insight into the history, development, available technologies of additive manufacturing and provides updates of application of 3-D printing in orthodontics.

Background: The use of clinical field assessment tools is popular in sports rehabilitation settings. The purpose of these tools is not only prediction of injury but also to assist in development of injury prevention programs. Landing Error Scoring System (LESS) is a clinical tool that evaluates biomechanical performance during a jump-landing task with particular focus on aspects related to an increased risk for ACL injury.Objective: Of this study was to find the most common faulty biomechanics in football players.Method: This is an evaluation-based study which predicts the risk of ACL injuries in 30 football players based on their jump landing mechanics. This evaluation was carried out with the help of software Kinovea that helps in analysis of joint kinematics. The data captured with the help of off-the-shelf cameras in frontal and sagittal planes and analysed. The frequency of common errors was identified.Result: It was found out that 20% of the players had poor landing mechanics having maximum errors, 20% had moderate errors, while 13% had good score and 47% had excellent landing mechanics. The most common error was knee valgus at initial contact, stance width wider and knee valgus displacement. Conclusion:LESS is beneficial in identification of faulty biomechanics. LESS when used along with Kinovea helps analyse common jump landing errors. Knee valgus along with internal rotation of tibia was found to be the common error which predisposes footballers to ACL injury.

Aims: To Study the effect of Socioeconomic status (SES) of foot length, palm length and mid finger length on School going Children (Age:-8-10 years) in Mumbai city. Study Design: A survey research design was adopted for measurement and data collection. Foot length was analysed by Standardized measuring tape, Palm length and mid-finger length was analyzed by Calliper, Height (cm) was analysed by stadiometer. The unit of measurement used was centimetre (cm). SES was coded according to Kuppuswamy scale [1]. Place and Duration of Study: The time span required to carry out study was from November to March 2018-2019 in Mumbai city. Methodology: Total 319 subjects (male & female) participated ranging from public to private schools in Mumbai city, (Maharashtra, India). Kuppuswamy scale (2018) was used to analyse the SES of the subjects. SPSS software version 20 was used for data analysis. Results: A positive striking correlation was observed between height and different socio economic status at p <0.05 (.001). Maximum height was found among upper class (129.58±6.88), further the lowest mean value of height (124.00 ± 6.34) was noted among the upper lower class. However, foot length and mid-finger length showed highly significant difference statistically at p <0.05 (.000). Although the maximum foot length was found among upper lower class (3.0287± 0.33), further the lowest mean value of foot length (1.0599 ± 0.40), was noted among the lower class and also, higher treatment value (6.195± 0.60) for mid-finger length was found amongst the upper middle class and lower treatment value amongst lower class (5.700 ± 0.34). Moreover, a significant correlation was observed between palm length and Socio-economic status at p <0.05 (.019). Also, the highest statistical association of the palm length to the Socio-economic status of the samples (9.412±3.72) was observed among Upper lower class subjects, Whereas lowest level of palm length was depicted in lower class (7.757 ± 0.82) category.