Poor diet linked to 1 in 5 deaths globally: study

Agencies
April 4, 2019

Paris, Apr 4: One in five deaths globally are linked to poor diet, experts said Thursday, warning that overconsumption of sugar, salt and meat was killing millions of people every year.

The United Nations estimates that nearly a billion people worldwide are malnourished, while nearly two billion are "overnourished".

But the latest study on global diet trends, published in The Lancet, showed that in nearly every one of the 195 countries surveyed, people were also eating too much of the wrong types of food -- and consuming worryingly low levels of healthier produce.

For example, the world on average consumes more than ten times the recommended amount of sugar-sweetened beverages, and 86 percent more sodium per person than is considered safe.

The study, which examined consumption and disease trends between 1990-2017, also cautioned that too many people were eating far too few whole grains, fruit, nuts and seeds to maintain a healthy lifestyle.

Of the 11 million deaths attributed to poor diet, by far the largest killer was cardiovascular disease, which is often caused or worsened by obesity.

"This study affirms what many have thought for several years -- that poor diet is responsible for more deaths than any other risk factor in the world," said study author Christopher Murray, director of the Institute for Health Metrics and Evaluation at the University of Washington.

"Our assessment suggests the leading dietary risk factors are high intake of sodium, or low intake of health foods."

The report highlighted large variation in diet-related deaths between nations, with the highest-risk country Uzbekistan having ten times the food-based mortality rate of the lowest-risk, Israel.

In January, a consortium of three dozen researchers called for a dramatic shift in the way the world eats.

The EAT-Lancet report said that the global population must eat roughly half as much red meat and sugar, and twice as many vegetables, fruits and nuts in order to avert a worldwide obesity epidemic and avoid "catastrophic" climate change.

Authors of Thursday's study noted that economic inequality was a factor in poor dietary choices in many countries.

It found that on average, reaching the "five-a-day" fruit and vegetable servings advocated by doctors cost just two percent of household income in rich nations, but more than a half of household income in poorer ones.

"This study gives us good evidence of what to target to improve diets, and therefore health, at the global and national level," said Oyinlola Oyebode, Associate Professor at Warwick Medical School, who was not involved in the research.

"The lack of fruit, vegetables and whole grains in diets across the world are very important -- but the other dietary factor highlighted by this study is the high intake of sodium."

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Agencies
June 21,2020

Lower neighbourhood socioeconomic status and greater household crowding increase the risk of becoming infected with SARS-CoV-2, the virus that causes COVID-19, warn researchers.

"Our study shows that neighbourhood socioeconomic status and household crowding are strongly associated with risk of infection," said study lead author Alexander Melamed from Columbia University in the US.

"This may explain why Black and Hispanic people living in these neighbourhoods are disproportionately at risk for contracting the virus," Melamed added.

For the findings, published in the journal JAMA, the researchers examined the relationships between COVID-19 infection and neighbourhood characteristics in 396 women who gave birth during the peak of the Covid-19 outbreak in New York City. Since March 22, all women admitted to the hospitals for delivery have been tested for the virus, which gave the researchers the opportunity to detect all infections -- including infections with no symptoms -- in a defined population

The strongest predictor of COVID-19 infection among these women was residence in a neighbourhood where households with many people are common.The findings showed that women who lived in a neighbourhood with high household membership were three times more likely to be infected with the virus. Neighbourhood poverty also appeared to be a factor, the researchers said.Women were twice as likely to get COVID-19 if they lived in neighbourhoods with a high poverty rate, although that relationship was not statistically significant due to the small sample size.

The study revealed that there was no association between infection and population density.

"New York City has the highest population density of any city in the US, but our study found that the risks are related more to density in people's domestic environments rather than density in the city or within neighbourhoods," says co-author Cynthia Gyamfi-Bannerman."

The knowledge that SARS-CoV-2 infection rates are higher in disadvantaged neighbourhoods and among people who live in crowded households could help public health officials target preventive measures," the authors wrote.

Recently, another study published in the Journal of the American Planning Association, showed that dense areas were associated with lower COVID-19 death rates.

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News Network
February 4,2020

Boston, Feb 4: Practising yoga may increase levels of a messenger molecule involved in regulating brain activity, and completing one yoga class per week may maintain elevated levels of this chemical, according to a study which may lead to better ways of mitigating depressive symptoms.

The study, published in the Journal of Alternative and Complementary Medicine, assessed a group of 30 clinically depressed patients who were randomly divided into two groups.

According to the researchers, including those from Boston University in the US, both groups engaged in coherent breathing, and Iyengar yoga -- a form of hatha yoga, developed by B. K. S. Iyengar, emphasising on detail, precision, and alignment in the performance of yoga postures.

The only difference between the groups, the scientists said, was the number of 90 minute yoga sessions, and home sessions in which each group participated.

Over three months, they said, the high-dose group (HDG) was assigned three sessions per week, while the low-intensity group (LIG) engaged in two sessions per week.

The participants underwent magnetic resonance imaging (MRI) scans of their brain before the first and after the last yoga session, and also completed a clinical depression scale to monitor their symptoms, the study noted.

Results of the study revealed that both groups had improvement in depressive symptoms after three months.

Their MRI analysis showed that levels of the brain messenger molecule GABA were elevated after three months of yoga, as compared to the levels before starting yoga.

According to the study, this increase was found for approximately four days after the last yoga session, but the rise was no longer observed after about eight days.

"The study suggests that the associated increase in GABA levels after a yoga session are 'time-limited' similar to that of pharmacologic treatments such that completing one session of yoga per week may maintain elevated levels of GABA," explained study co-author Chris Streeter from Boston University.

Providing evidence-based data may help in getting more individuals to try yoga as a strategy for improving their health and well-being, the scientists said.

"A unique strength of this study is that pairing the yoga intervention with brain imaging provides important neurobiological insight as to the 'how' yoga may help to alleviate depression and anxiety," said study co-author Marisa Silveri from Harvard University.

In this study, we found that an important neurochemical, GABA, which is related to mood, anxiety, and sleep, is significantly increased in association with a yoga intervention," Silveri said.

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Agencies
June 22,2020

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.

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