Bad mood, negative emotions make you distrustful, finds study

Agencies
November 17, 2019

New Delhi, Nov 17: While having a bad mood is nothing new and can be experienced anytime, it can make you more distrustful, says a study.

Negative emotions reduce how much we trust others, even if these emotions were triggered by events that have nothing to do with the decision to trust.

Moreover, these emotions can influence the way we interact with others is well known - just think of how easily an argument with a loved one can get heated.

But what about when these emotions are triggered by events that have nothing to do with the person we are interacting with, for instance, the annoyance caused by a traffic jam or a parking fine.

Researchers call these types of emotions "incidental" because they were triggered by events that are unrelated to our currently ongoing social interactions.

It has been shown that incidental emotions frequently occur in our day-to-day interactions with others, although we might not be fully aware of them.

As part of the study, a team of researchers investigated whether the incidental aversive effect can influence the trust behaviour and the brain networks relevant for supporting social cognition.

To induce a prolonged state of negative affect, the team used the well-established threat-of-shock method, in which participants are threatened with (but only sometimes given) an unpleasant electrical shock. This threat has been shown to reliably induce anticipatory anxiety.

Within this emotional context, participants were then asked to play a trust game, which involved decisions about how much money they wished to invest in a stranger (with the stranger having the possibility to repay in kind or keep all the invested money to themselves).

The researchers have found that participants indeed trusted significantly less when they were anxious about receiving a shock, even though the threat had nothing to do with their decision to trust.

The team also recorded participants' brain responses using functional magnetic resonance imaging (MRI) while they made trust decisions. This revealed that a region that is widely implicated in understanding others' beliefs, the temporoparietal junction (TPJ), was significantly suppressed during trust decisions when participants felt threatened, but not when they felt safe.

The connectivity between the TPJ and the amygdala was also significantly suppressed by negative affect. Moreover, under safe conditions, the strength of the connectivity between the TPJ and other important social cognition regions, such as the posterior superior temporal sulcus and the dorsomedial prefrontal cortex, predicted how much participants trusted others. This relationship between brain activity and behaviour was nullified when participants felt anxious.

"These results show that negative emotions can significantly impact our social interactions, and specifically how much we trust others. They also reveal the underlying effects of a negative effect on brain circuitry. Negative effect suppresses the social cognitive neural machinery important for understanding and predicting others' behaviour," explained authors Jan Engelmann and Christian Ruff. 

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Agencies
February 4,2020

Despite tremendous advances in treatment of congenital heart disease (CHD), a new global study shows that the chances for a child to survive a CHD diagnosis is significantly less in low-income countries.

The research revealed that nearly 12 million people are currently living with CHD globally, 18.7 per cent more than in 1990.

The findings, published in The Lancet, is drawn from the first comprehensive study of congenital heart disease across 195 countries, prepared using data from the Global Burden of Diseases, Injuries and Risk Factors Study 2017 (GBD).

"Previous congenital heart estimates came from few data sources, were geographically narrow and did not evaluate CHD throughout the life course," said the study authors from Children's National Hospital in the US.

This is the first time the GBD study data was used along with all available data sources and previous publications - making it the most comprehensive study on the congenital heart disease burden to date.

The study found a 34.5 per cent decline in deaths from congenital disease between 1990 to 2017. Nearly 70 per cent of deaths caused by CHD in 2017 (180,624) were in infants less than one year old.

Most CHD deaths occurred in countries within the low and low-middle socio-demographic index (SDI) quintiles.

Mortality rates get lower as a country's Socio-demographic Index (SDI) rises, the study said.

According to the researchers, birth prevalence of CHD was not related to a country's socio-demographic status, but overall prevalence was much lower in the poorest countries of the world.

This is because children in these countries do not have access to life saving surgical services, they added.

"In high income countries like the United States, we diagnose some heart conditions prenatally during the 20-week ultrasound," said Gerard Martin from Children's National Hospital who contributed to the study.

"For children born in middle- and low-income countries, these data draw stark attention to what we as cardiologists already knew from our own work in these countries -- the lack of diagnostic and treatment tools leads to lower survival rates for children born with CHD," said researcher Craig Sable.

"The UN has prioritised reduction of premature deaths from heart disease, but to meet the target of 'ending preventable deaths of newborns and children under 5 years of age,' health policy makers will need to develop specific accountability measures that address barriers and improve access to care and treatment," the authors wrote.

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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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Agencies
April 14,2020

There is no evidence that the Bacille Calmette-Guerin (BCG) vaccine, which is primarily used against tuberculosis, protects people against infection with the novel coronavirus, the World Health Organization (WHO) said.

The WHO therefore didn't recommend BCG vaccination for the prevention of COVID-19 in the absence of evidence, according to its daily situation report on Monday, Xinhua news agency reported.

"There is experimental evidence from both animal and human studies that the BCG vaccine has non-specific effects on the immune system. These effects have not been well characterized and their clinical relevance remains unknown," WHO stated.

Two clinical trials addressing the question are underway, and WHO will evaluate the evidence when it is available, it noted.

BCG vaccination prevents severe forms of tuberculosis in children and diversion of local supplies may result in an increase of disease and deaths from the tuberculosis, it warned.

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