The aim of the study was to estimate the physical activity (PA) level among the professional college students in North India. One hundred three professional college students in the age group of 18–25 years were recruited by simple random sampling for this cross-sectional online survey. The survey was advertised on the social networking sites (Facebook, WhatsApp) through a link www.surveymonkey.com/r/MG-588BY. A Short Form of International Physical Activity Questionnaire was used for this survey study. The questionnaire included total 8 questions on the basis of previous 7 days. The questionnaire consists of 3 main categories which were vigorous, moderate and high PA. Time spent in each activity level was multiplied with the metabolic equivalent of task (MET), which has previously set to 8.0 for vigorous activity, 4.0 for moderate activity, 3.3 for walking, and 1.5 for sitting. By multiplying MET with number of days and minutes performed weekly, amount of each activity level was calculated and measured as MET-min/wk. Further by adding MET minutes for each activity level, total MET-min/wk was calculated. Total number of 100 students participated in this study, and it was shown that all professional course students show different levels in PA. The total PA level among professional college students, which includes, physiotherapy, dental, medical, nursing, lab technician, pharmacy, management, law, engineering, were 434.4 (0–7,866), 170.3 (0–1,129), 87.7 (0–445), 102.8 (0–180), 469 (0–1,164), 0 (0–0), 645 (0–1,836), 337 (0–1,890), 396 (0–968) MET-min/wk respectively. PA levels among professional college students in North India have been established.

Objectives:Motor cognitive processing speed (MCPS) is often reported in terms of reaction time. In spite of being a significant indicator of function, behavior, and performance, MCPS is rarely used in clinics and schools to identify kids with slowed motor cognitive processing. The reason behind this is the lack of availability of convenient formula to estimate MCPS. Thereby, the aim of this study is to estimate the MCPS in the primary schoolchildren.Materials and Methods:Two hundred and four primary schoolchildren, aged 6–12 years, were recruited by the cluster sampling method for this cross-sectional study. MCPS was estimated by the ruler drop method (RDM). By this method, a metallic stainless steel ruler was suspended vertically such that 5 cm graduation of the lower was aligned between the web space of the child's hand, and the child was asked to catch the moving ruler as quickly as possible, once released from the examiner's hand. Distance the ruler traveled was recorded and converted into time, which is the MCPS. Multiple regression analysis of variables was performed to determine the influence of independent variables on MCPS.Results:Mean MCPS of the entire sample of 204 primary schoolchildren is 230.01 ms ± 26.5 standard deviation (95% confidence interval; 226.4–233.7 ms) that ranged from 162.9 to 321.6 ms. By stepwise regression analysis, we derived the regression equation, MCPS (ms) = 279.625–5.495 × age, with 41.3% (R = 0.413) predictability and 17.1% (R2 = 0.171 and adjusted R2 = 0.166) variability.Conclusion:MCPS prediction formula through RDM in the primary schoolchildren has been established.

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