COVID-19 triggering panic attacks, depression and suicides, say experts

Agencies
June 28, 2020

As the COVID-19 wave sweeps strongly across the country, including in Tamil Nadu, mental health experts say the pandemic has triggered panic attacks among those who tested positive for the virus, causing bouts of depression and even driving some to the brink of suicide.

According to experts, nervousness, fear of contamination, panic attacks, constant reassurance seeking behaviour, sleep disturbance, excessive worry, feelings of helplessness and probability of an economic slowdown are the major factors leading to depression and anxiety among the people.

Potential job losses, financial burden, uncertainty about the future and fears of running out of food and necessities add to the worries.

Online platforms too have seen a growing number of people seeking help for mental health issues, ranging from anxiety and loneliness to concerns over productivity and job loss since the outbreak of COVID-19.

Director of Institute of Mental Health here, Dr R Purna Chandrika said towards April end about 3,632 calls were received and psychiatric counselling was provided to 2,603 callers.

"We have dedicated services at our centres in the districts and the calls meant for government medical college hospitals are routed to the respective institutions," she said.

Due to heavy virus caseloads, making this city the major contributor to the state's tally, the Greater Chennai Corporation too started a free helpline to help residents cope up with stress during the pandemic.

"From the psychological perspective, we don't find a single human being who is not feeling some degree of stress or anxiety due to coronavirus. The intensity and impact varies from person to person," said Lt Col N T Rajan, director of Chennai-based Mastermind Foundation.

The organisation is involved in free counselling throughout India ever since the first case of the deadly virus was reported in the country.

The foundation's recommendation on not to deploy the vulnerable in the police force, especially those above 50 years and women personnel with children below five years for COVID-19 related duty, was accepted and implemented by the Punjab government.

Psychiatrists feel that further worsening situations could lead to severe mental health issues, even triggering suicidal tendencies.

"Further worsening depression may lead to severe mental health issues and suicidal tendencies," said Dr S Senthil Kumar, a psychiatrist.

However, not all of them require medicines, he added.

"The situation is serious. There should be counselling at three stages--on coping with the virus, how to face it if tested positive and how to face life once treated and discharged from the hospital," Rajan said.

Awareness was of paramount importance, he said and warned the pandemic could cause panic attacks while in hospital or drive them to the brink of suicide.

Tamil Nadu, one of the worst affected states with a virus count in excess of 74,000 as of Friday, has witnessed a few instances of suicides allegedly related to COVID-19.

Hari Singh, owner of popular 'Iruttu Kadai' halwa shop in Tirunelveli, allegedly died by committing suicide on Thursday after being tested positive for COVID-19. He was 80.

Earlier in May, two COVID-19 patients in their 50s allegedly committed suicide in separate instances, at the government hospitals they were admitted to for treatment.

In the city corporation limits, a three-member team comprising a psychiatrist, counsellor and a social worker work for the respective zones.

"We direct certain sections of people like those with withdrawal symptoms and people requiring pills, to visit the doctor at their corporation zonal at a specific time, for medicines," a health worker of the civic body said.

Health platform, Lybrate reported an increase of 180 per cent in online patient consultations related to mental health on its platform between March 1 and June 20 across the country.

The largest increase came from Mumbai and Delhi, followed by Pune, Ahmedabad, Chennai and Bengaluru.

The biggest jump was witnessed in the age group of 25 and 45 years.

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Agencies
May 6,2020

Washington D.C., May 5: Working from home has become the new normal ever since the outbreak of coronavirus and in today's time the work duties can be easily dealt with by means of mobile devices at home.

However, this easy use of technology, mobile devices for that matter, has the potential to blur the fine line between work and the other daily life routines.

But, contrary to the belief, a study at the University of Jyvaskyla reveals that the mixing of work and other daily life routines may have more benefits than previously assumed, and points to the importance of boundary-spanning communication.

A smartphone enables phone calls, email, and file transfers from the comfort of home. The study shows that there may be more effective ways to maximise the benefits of smartphone use, without diminishing employees' flexibility and the use of these technologies.

"People often forget to talk about positive effects, such as autonomy and freedom the employees gain when they have the flexibility to schedule their work," said Postdoctoral Researcher Ward van Zoonen from JYU, who with his colleagues examined the use of smartphones for work matters outside working hours.

The study paid special attention to the benefits of talking about domestic matters with the immediate supervisor outside the working hours given to an employee.

"This reduces the conflict between work and other life," van Zoonen said.

"If people in an organisation strive for more dialogue between employees' different life domains, it is possible to create a functional environment where people can talk about different matters."

The research findings show that when employees communicate across boundaries and talk at work about their life in other respects, they can receive new kinds of support and understanding from their immediate supervisor.

"This kind of communication creates a low threshold for contacting one's supervisor, which helps employees build a balance between the different domains of their lives and strengthens their organisational identification," said Professor Anu Sivunen describing the findings.

This means that tight working time restrictions to protect employees might not be beneficial after all, if they hinder reaching the positive results indicated in this research.

For the study, a survey was taken of 367 employees who were asked questions such as -- how much they talk about their work with their family, and how much they talk about their family with their immediate supervisor.

"Both supervisors and their employees answered the surveys, and the study actually focused on their mutual communication," Sivunen said.

"Usually people at workplaces are interested in how communication within the work community is succeeding. It is often forgotten how an immediate supervisor can take an employer's other life into account and thereby help the employee gain work-related benefits."

"Communication with one's immediate supervisor during flexible working hours, also on matters other than work, could ease the daily lives of many employees if they could share the possible challenges of their family life or free time with their supervisor in these settings," Sivunen added.

According to the study, such a practice could make the supervisor aware of the employee's situation as he/she works from home and the related impacts on their work performances.

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Agencies
June 10,2020

Early treatment with the antiviral drug remdesivir has been found to reduce viral load and prevent lung disease in macaques infected with SARS-CoV-2 that causes COVID-19, according to a study.

The findings, published in the journal Nature on Tuesday, support the early use of remdesivir treatment in patients with COVID-19 to prevent progression to pneumonia.

Researchers from the National Institutes of Health in the US noted that remdesivir has broad antiviral activity and has been shown to be effective against infections with SARS-CoV and MERS-CoV in animal models.

The drug is being tested in human clinical trials for the treatment of COVID-19, they said.

Researcher Emmie de Wit and colleagues investigated the effects of remdesivir treatment in rhesus macaques, a recently established model of SARS-CoV-2 infection.

Two sets of six macaques were inoculated with SARS-CoV-2.

One group was treated with remdesivir 12 hours later -- close to the peak of virus reproduction in the lungs -- and these macaques received treatment every 24 hours until six days after inoculation.

In contrast to the control group, the researchers found that macaques that received remdesivir did not show signs of respiratory disease, and had reduced damage to the lungs.

Viral loads in the lower respiratory tract were also reduced in the treated animals; viral levels were around 100 times lower in the lower-respiratory tract of remdesivir-treated macaques 12 hours after the first dose, they said.

The researchers said that infectious virus could no longer be detected in the treatment group three days after initial infection, but was still detectable in four out of six control animals.

Despite this virus reduction in the lower respiratory tract, no reduction in virus shedding was observed, which indicates that clinical improvement may not equate to a lack of infectiousness, they said.

Dosing of remdesivir in the rhesus macaques is equivalent to that used in humans, the researchers noted.

They cautioned that it is difficult to directly translate the timing of treatment used in corresponding disease stages in humans, because rhesus macaques normally develop only mild disease.

However, researchers said the results indicate that remdesivir treatment of COVID-19 should be initiated as early as possible to achieve the maximum treatment effect.

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News Network
February 26,2020

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.

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