Skipping breakfast, insufficient sleep increases risk of obesity

November 12, 2016

Washington, Nov 12: According to a new research, child obesity is linked to multiple factors such as mothers smoking in pregnancy, children skipping breakfast and not having a regular bedtime or sufficient sleep.

skippingAll three issues appear to be important factors in predicting whether a child will become overweight or obese. Since they are early life factors, they can be modified and the research highlights the possibility that prompt intervention could curb the growth in childhood obesity.

Being overweight or obese is linked to a child having poorer mental health, which can extend into adolescence and adulthood. This poorer psychosocial well-being includes low self-esteem, unhappiness as well as risky behaviours such as cigarette smoking and alcohol consumption.

The research is based on the Millennium Cohort Study, a study of children born into 19,244 families in the UKbetween September 2000 and January 2002. Data on weight and height was collected when the children were 3, 5, 7 and 11.

This research used observational information which does not allow firm cause and effect conclusions to be drawn. However the results are based on data from thousands of children and the researchers were able to take account of many of the influences on the development of a child's weight.

"It is well known that children of overweight or obese mothers are more likely to be overweight themselves, probably reflecting the 'obesogenic' environment and perhaps a genetic predisposition to gain weight," said Professor Yvonne Kelly (UCL Epidemiology and Public Health), who led the research.

"This study shows that disrupted routines, exemplified by irregular sleeping patterns and skipping breakfast, could influence weight gain through increased appetite and the consumption of energy-dense foods. These findings support the need for intervention strategies aimed at multiple spheres of influence on BMI growth."

Smoking in pregnancy has been linked to a higher risk of a child being overweight, possibly due to a link between foetal tobacco exposure and infant motor co-ordination which could be a developmental pathway to BMI growth.

The study identified four patterns of weight development. The large majority of children, 83.3 per cent, had a stable non-overweight BMI, while 13.1 per cent had moderate increasing BMIs while 2.5 per cent had steeply increasing BMIs. The smallest group, 0.6 per cent, had BMIs in the obese range at the age of 3 but were similar to the stable group by the age of 7.

Girls were more likely to be in the "moderately increasing" group while Pakistani, Black Caribbean and Black African children were more likely to belong to the "high increasing" group.

The research also looked at other factors to see what influence, if any, they had on children's weight.

After taking account of background factors, breastfeeding and the early introduction of solid food were not associated with children's weight. Likewise, sugary drink consumption, fruit intake, TV viewing and sports participation were not strong predictors of unhealthy weight gain.

The study has been published in the Pediatrics journal.

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February 26,2020

Feb 26: While too much stress can be toxic to your health, a new study suggests that despite its negative side effects, it may also lead to a surprising social benefit.

The research, published in the journal Stress & Health, found that experiencing stress made people both more likely to give and receive emotional support from another person.

This was true on the day they experienced the stressor as well as the following day.

"Our findings suggest that just because we have a bad day, that doesn't mean it has to be completely unhealthy," said study researcher David Almeida from Penn State University in the US.

"If stress can actually connect us with other people, which I think is absolutely vital to the human experience, I think that's a benefit. Stress could potentially help people deal with negative situations by driving them to be with other people," Almeida added.

For the study, the researchers interviewed 1,622 participants every night for eight nights. They asked the participants about their stressors and whether they gave or received emotional support on that day.

Stressors included arguments, stressful events at work or school, and stressful events at home.

The researchers found that on average, participants were more than twice as likely to either give or receive emotional support on days they experienced a stressor.

Additionally, they were 26 per cent more likely to give or receive support the following day.

The researchers said that while this effect, on average, was found across the participants, it differed slightly between men and women.

"Women tended to engage in more giving and receiving emotional support than men," said study researcher Hye Won Chai.

"In our study, men were also more likely to engage in emotional support on days they were stressed, but to a lesser extent than women," Chai added.

The researchers said they were surprised that stress was linked to people not just receiving emotional support, but giving it, as well.

"We saw that someone experiencing a stressor today actually predicted them giving emotional support the next day," Almeida said.

"This made me think that it's actually possible that stress helps to drive you to other people and allows it to be ok to talk about problems -- your problems, my problems," Almeida added.

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March 3,2020

Taking multiple courses of antibiotics within a short span of time may do people more harm than good, suggests new research which discovered an association between the number of prescriptions for antibiotics and a higher risk of hospital admissions.

Patients who have had 9 or more antibiotic prescriptions for common infections in the previous three years are 2.26 times more likely to go to hospital with another infection in three or more months, said the researchers.

Patients who had two antibiotic prescriptions were 1.23 times more likely, patients who had three to four prescriptions 1.33 times more likely and patients who had five to eight 1.77 times more likely to go to hospital with another infection.

"We don't know why this is, but overuse of antibiotics might kill the good bacteria in the gut (microbiota) and make us more susceptible to infections, for example," said Professor Tjeerd van Staa from the University of Manchester in Britain.

The study, published in the journal BMC Medicine, is based on the data of two million patients in England and Wales.

The patient records, from 2000 to 2016, covered common infections such as upper respiratory tract, urinary tract, ear and chest infections and excluded long term conditions such as cystic fibrosis and chronic lung disease.

The risks of going to hospital with another infection were related to the number of the antibiotic prescriptions in the previous three years.

A course is defined by the team as being given over a period of one or two weeks.

"GPs (general physicians) care about their patients, and over recent years have worked hard to reduce the prescribing of antibiotics,""Staa said.

"But it is clear GPs do not have the tools to prescribe antibiotics effectively for common infections, especially when patients already have previously used antibiotics.

"They may prescribe numerous courses of antibiotics over several years, which according to our study increases the risk of a more serious infection. That in turn, we show, is linked to hospital admissions," Staa added.

It not clear why hospital admissions are linked to higher prescriptions and research is needed to show what or if any biological factors exist, said the research team.

"Our hope is that, however, a tool we are working for GPs, based on patient history, will be able to calculate the risks associated with taking multiple courses of antibiotics," said Francine Jury from the University of Manchester.

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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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