Exercising on empty stomach may be better for health: study

Panaji, May 11: Amid the COVID-19 outbreak, most of the people are more concerned about the health of their near and dear ones than their own well-being, says a study conducted by a leading business school in Goa.

People are now more conscious about any bodily changes, and even mild cold, cough and sneezing, it says.

The study, on public's reaction towards COVID-19 outbreak by gauging their psychological response in terms of anxiety and their coping behaviour, was conducted by the Goa Institute of Management's Dr Divya Singhal and Prof Padhmanabhan Vijayaraghavan.

It took into account inputs from 231 respondents residing in various parts of the country.

"Nearly 82.25 per cent of the respondents were more worried about the health of their loved ones than their own well-being," Singhal said.

"Majority of the respondents have become conscious of any bodily changes, sensations, a mild cold, cough, sneezing and experience concern, and attribute those changes to the symptoms of COVID-19," she said.

Besides, more than 50 per cent of the respondents said their social media usage has gone up as well as their time spent on watching movies and shows through online medium, the official said.

The respondents agreed that their technology usage to connect with friends and relatives has gone up, she said.

The study also indicated that a large group of respondents found it "depressing" to read forwarded messages on the deadly disease.

"An overwhelming majority of the respondentsagreed that they discourage unverified forwarded messages about COVID-19 on social media," says the study.

It also found that 41 per centof the respondents were not doing any physical activity, like yoga, during the lockown period, while another 19 per cent were not sure about engaging themselves in physical activities.

Besides, 57 per cent of the respondents were not engaged in any mind-calming practices like meditation, and 18 per cent were not sure about taking up meditative practices, the study said.

The respondents included 145 men and 86 women, aged 18 and above, with nearly 60 per cent of them residing in non- metro cities and rest from metros.

About 47.62 per cent of the respondents were employed in private or government sectors, and the remaining included students, retired persons and homemakers.

New York, Feb 26:  A new wearable sensor that works in conjunction with artificial intelligence (AI) technology could help doctors remotely detect critical changes in heart failure patients days before a health crisis occurs, says a study.

The researchers said the system could eventually help avert up to one in three heart failure readmissions in the weeks following initial discharge from the hospital and help patients sustain a better quality of life.

"This study shows that we can accurately predict the likelihood of hospitalisation for heart failure deterioration well before doctors and patients know that something is wrong," says the study's lead author Josef Stehlik from University of Utah in the US.

"Being able to readily detect changes in the heart sufficiently early will allow physicians to initiate prompt interventions that could prevent rehospitalisation and stave off worsening heart failure," Stehlik added.

According to the researchers, even if patients survive, they have poor functional capacity, poor exercise tolerance and low quality of life after hospitalisations.

"This patch, this new diagnostic tool, could potentially help us prevent hospitalizations and decline in patient status," Stehlik said.

For the findings, published in the journal Circulation: Heart Failure, the researchers followed 100 heart failure patients, average age 68, who were diagnosed and treated at four veterans administration (VA) hospitals in Utah, Texas, California, and Florida.

After discharge, participants wore an adhesive sensor patch on their chests 24 hours a day for up to three months.

The sensor monitored continuous electrocardiogram (ECG) and motion of each subject.

This information was transmitted from the sensor via Bluetooth to a smartphone and then passed on to an analytics platform, developed by PhysIQ, on a secure server, which derived heart rate, heart rhythm, respiratory rate, walking, sleep, body posture and other normal activities.

Using artificial intelligence, the analytics established a normal baseline for each patient. When the data deviated from normal, the platform generated an indication that the patient's heart failure was getting worse.

Overall, the system accurately predicted the impending need for hospitalization more than 80 per cent of the time.

On average, this prediction occurred 10.4 days before a readmission took place (median 6.5 days), the study said.

A team of scientists has produced first open source all-atom models of full-length COVID-19 Spike protein that facilitates viral entry into host cells – a discovery that can facilitate a faster vaccine and antiviral drug development.

The group from Seoul National University in South Korea, University of Cambridge in the UK and Lehigh University in the US produced the first open-source all-atom models of a full-length S protein.

The researchers say this is of particular importance because the S protein plays a central role in viral entry into cells, making it a main target for vaccine and antiviral drug development.

"Our models are the first full-length SARS-CoV-2 spike (S) protein models that are available to other scientists," said Wonpil Im, a professor in Lehigh University.

"Our team spent days and nights to build these models very carefully from the known cryo-EM structure portions. Modeling was very challenging because there were many regions where simple modeling failed to provide high-quality models," he wrote in a paper published in The Journal of Physical Chemistry B.

Scientists can use the models to conduct innovative and novel simulation research for the prevention and treatment of Covid-19.

Though the coronavirus uses many different proteins to replicate and invade cells, the Spike protein is the major surface protein that it uses to bind to a receptor.

The total number of global COVID-19 cases was nearing 9 million, while the deaths have increased to over 467,000, according to the Johns Hopkins University.

With 2,279,306 cases and 119,967 deaths, the US continues with the world's highest number of COVID-19 infections and fatalities, according to the CSSE.

Brazil comes in the second place with 1,083,341 infections and 50,591 deaths.