Background: The ability to assess energy expenditure (EE) and estimate physical activity (PA) in free-living individuals is extremely important in the global context of non-communicable diseases including malnutrition, overnutrition (obesity), and diabetes. Metabolic equivalent task (MET) is used as a means of expressing the intensity and EE of activities. Aims and Objective: To assess the PA as MET using the International PA Questionnaire (IPAQ). Material and Methods: It was a cross-sectional study conducted on 87 (29 males and 58 females) medical students aged between 18-25 years. Detailed history of PA was taken, so as to find out the type and quality of PA, they were engaged in. In IPAQ (short), questionnaire information was asked about three specific types of activity such as walking, moderate-intensity activities, and vigorous-intensity activities. MET was calculated. Results: It was found that as per MET score calculated from IPAQ, 40%, 47%, and 13% of students fall in low, moderate, and high PA groups, respectively. Conclusion: MET utilization provides a convenient method to describe the functional capacity or exercise tolerance of an individual. It was observed that PA was very low in medical students as calculated by MET.

This underscores the need for further investigations to detect diabetes at an early stage and to overcome the disease burden of diabetes in future. Prevention of obesity and promotion of physical activity have to be the future plan of action which can be suggested in the form of regular exercise and diet planning for the students as part of an integrated approach.

Background: The association between Type 2 Diabetes Mellitus and Obesity is very close. The prediabetes status i.e Impaired Fasting Glucose (IFG) reflects an intermediate condition between normality and diabetes. The socioeconomic position (SEP) is one of the non traditional determinants of type 2 DM. The occupational status, which is a good indicator of the socioeconomic status, also indicates the level and the type of stress that they are exposed to, as well as the individual lifestyle choices. The present work was planned to study the relationship of the prediabetic status with obesity and the occupational status by estimating the Fasting Blood Glucose (FBG) levels. Objectives:To study the association of the occupational status with the fasting blood glucose levels and obesity in middle aged women. Method:The Fasting Blood Glucose levels and the BMI were estimated in 300 asymptomatic middle aged women who had no family history of Type 2 Diabetes Mellitus (D.M.), who had been divided into the Control (I), the Pre -obese (IIa) and the Obese groups (IIb). The occupational status was broadly divided into the categories of housewives and service women. The results was analysed statistically by using the correlation coefficient and the 'z' test. Result:The mean FBG levels in the pre -obese and the obese groups were higher than those in the control group. We found significant differences in the FBG levels in the normal weight, the pre -obese as well as in the obese groups among the service women, but no significant correlation was found in the preobese and the obese groups. Among the housewives, we found significant differences in the FBG levels of the normal weight and the obese groups, but not in the pre -obese group. Also, no significant correlation was found in the pre -obese and obese groups among the service women. Conclusion:The BMI may be good risk predictor for Type 2 D.M. irrespective of the occupational status, especially in middle aged women.

The Healthcare industry is experiencing a sea change due to the availability of disruptive communication technologies. Augmented reality, virtual reality, haptics, robotic assistance, and the ubiquitous, highly reliable low latency communication based on intelligence; support remote surgery in real-time. The sixth-generation (6G) mobile communication supporting disruptive technologies and intelligence; will realize remote healthcare for people of all ages in three-dimensional (3D) space. The discussion on the application of disruptive technologies in 6G intelligent healthcare is found insufficient in the literature. The objective of the paper is to propose a conceptual framework for 6G intelligent healthcare and elaborate on applications of the various disruptive technologies with their associated challenges. The state-of-the-art technologies viz; digital twin, blockchain, optical wireless communication, wireless energy transfer, tactile Internet, holographic communication, quantum communication, artificial intelligence, etc., are elaborated for their applications and challenges in healthcare. The fifth-generation (5G) lacks supporting disruptive technologies, intelligence, and ultra-low latency requirements of remote healthcare. 6G will support highly reliable (99.9999%), secure, ultra-low latency (<0.1 microseconds), and ultra-high-speed communication (>1 Tbps) required for remote and ubiquitous healthcare. Moreover, 6G supports the Internet of Everything, Internet of skills, and Internet of thinking to realize and optimize healthcare globally.

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