Sleeping too much may up stroke, heart disease risk

Agencies
June 14, 2018

Seoul, Jun 14: Sleeping for over ten hours or less than six hours a day is likely to cause metabolic syndrome – a cluster of conditions that increase the risk of heart disease, stroke and diabetes, a study has found. Researchers at Seoul National University in South Korea found that compared to individuals who slept six to seven hours per day, men who slept fewer than six hours were more likely to have metabolic syndrome and higher waist circumference. Women who slept fewer than six hours were more likely to have higher waist circumference.

Sleeping more than ten hours per day was associated with metabolic syndrome and increased levels of triglycerides in men, and with metabolic syndrome, higher waist circumference, higher levels of triglycerides and blood sugar, as well as low levels of ‘good’ cholesterol (HDL-C) in women. Researchers found that nearly 11 per cent of men and 13 per cent of women slept less than six hours, while 1.5 per cent of men and 1.7 per cent of women slept more than ten hours.

“This is the largest study examining a dose-response association between sleep duration and metabolic syndrome and its components separately for men and women,” said Claire E Kim, lead author of the study published in the journal BMC Public Health. “Because we were able to expand the sample of our previous study, we were able to detect associations between sleep and metabolic syndrome that were unnoticed before,” said Kim.

“We observed a potential gender difference between sleep duration and metabolic syndrome, with an association between metabolic syndrome and long sleep in women and metabolic syndrome and short sleep in men,” she said. Based on common definitions, participants were considered to have metabolic syndrome if they showed at least three of the following: elevated waist circumference, high triglyceride levels, low levels of ‘good’ cholesterol, hypertension, and high fasting blood sugar.

The prevalence of metabolic syndrome was just over 29 per cent in men and 24.5 per cent in women. Researchers suggest that as the prevalence of metabolic syndrome in Korea is high, it is critical to identify modifiable risk factors such as sleep duration. They used data from the HEXA study, a large-scale community-based study conducted in Korea during the years 2004-2013, which included information on socio-demographic characteristics, medical history, medication use, family history, lifestyle factors, diet, physical activity, and reproductive factors for women.

As part of the HEXA study, samples of plasma, serum, buffy coat, blood cells, genomic DNA, and urine were collected, and participants underwent physical examinations by medical professionals. Sleep duration was assessed by asking the question: “In the past year, on average, how many hours/minutes of sleep (including daytime naps) did you take per day?” Although the biological mechanisms that underlie the association between sleep duration and metabolic syndrome remain unclear, several potential processes have been reported. These include elevated levels of hormones which increase appetite and caloric intake or reduce energy expenditure in people who sleep less than seven hours per day, which may lead to increased waist circumference and development of obesity.

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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
January 16,2020

Thiruvananthapuram, Jan 16: Kerala Tourism on Wednesday shared a recipe of a popular meat dish in the Central Travancore region of Kerala, Beef Ularthiyathu, which is a special delicacy in the region.

Taking to its Twitter handle, the Kerala Tourism wrote, "Tender chunks of beef, slow-roasted with aromatic spices, coconut pieces, and curry leaves. A recipe for the most classic dish, Beef Ularthiyathu, the stuff of legends, from the land of spices, Kerala."

The State Tourism also shared the recipe of the delicacy with Twitteratis.

The tweet which has garnered 3.5 thousand likes so far had received a mixed response

While some said "beef is not Kerala's culture", others termed the recipe 'a match made in heaven".

Dr Vireandta Jilowa wrote, "Surprised to see it, that beef is being consumed despite BJP government in the Centre."

"We are not slaves of BJP at the Centre....people eat whatever they like in this state, including beef, pork, mutton and fish," another user Tatheesh Vijayakumar wrote.

In 2017, The Minister for Environment, Forest and Climate Change Harsh Vardhan had ordered that the ministry has notified the Prevention of Cruelty to Animals (Regulation of Livestock Markets) Rules, 2017 to ensure that the sale of cattle is not meant for slaughter purposes.

Regulating animal trade is a state business, but animal welfare is a central subject.

In lieu of this, there was widespread opposition of the order, with many states openly denying accepting the notification.

Porotta and Kappa biriyani with beef are counted as delicacies by Keralites. 

Also Read: The Art of Prepping Meat

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Agencies
February 7,2020

Birmingham, Feb 7: According to a new study, social media users are more likely to eat healthy or junk food after getting influenced by their peer group.

The research published in the scientific journal 'Appetite' found that study participants ate an extra fifth of a portion of fruit and vegetables themselves for every portion they thought their social media peers ate. So, if they believed their friends got their 'five a day' of fruit and veg, they were likely to eat an extra portion themselves.

On the other hand, Facebook users were found to consume an extra portion of unhealthy snack foods and sugary drinks for every three portions they believed their online social circles did.
The findings suggested that people eat around a third more junk food if they think their friends also indulge in the same.

The Aston University researchers said the findings provide the first evidence to suggest our online social circles could be implicitly influencing our eating habits, with important implications for using 'nudge' techniques on social media to encourage healthy eating.

Researchers asked 369 university students to estimate the amount of fruit, vegetables, 'energy-dense snacks' and sugary drinks their Facebook peers consumed on a daily basis.

The information was cross-referenced with the participants' own actual eating habits and showed that those who felt their social circles 'approved' of eating junk food consumed significantly more themselves. Meanwhile, those who thought their friends ate a healthy diet ate more portions of fruit and veg. Their perceptions could have come from seeing friends' posts about the food and drink they consumed, or simply a general impression of their overall health.

There was no significant link between the participants' eating habits and their Body Mass Index (BMI), a standard measure of healthy weight, however. The researchers said the next stage of their work would track a participant group over time to see whether the influence of social media on eating habits had a longer-term impact on weight.

The most recent figures from the NHS's Health Survey for England showed that in 2018 only 28 percent of adults were eating the recommended five portions of fruit and vegetables per day. In Wales, this was 24 percent, in Scotland 22 percent and in Northern Ireland around 20 percent. Children and young people across the UK had even lower levels of fruit and veg consumption.

Aston University health psychology Ph.D. student Lily Hawkins, who led the study alongside supervisor Dr. Jason Thomas, said: "This study suggests we may be influenced by our social peers more than we realize when choosing certain foods. We seem to be subconsciously accounting for how others behave when making our own food choices. So if we believe our friends are eating plenty of fruit and veg we're more likely to eat fruit and veg ourselves. On the other hand, if we feel they're happy to consume lots of snacks and sugary drinks, it can give us a license to overeat foods that are bad for our health. The implication is that we can use social media as a tool to 'nudge' each other's eating behavior within friendship groups, and potentially use this knowledge as a tool for public health interventions."

"With children and young people spending a huge amount of time interacting with peers and influencers via social media, the important new findings from this study could help shape how we deliver interventions that help them adopt healthy eating habits from a young age and stick with them for life," said professor Claire Farrow.

A dietitian called Aisling Pigott further mentioned that "Research such as this demonstrates how we are influenced by online perceptions about how others eat. The promotion of positive health messages across social media, which are focused on promoting healthy choices and non-restrictive relationships with food and body, could nudge people into making positive decisions around the food they eat."

"We do have to be mindful of the importance of 'nudging' positive behaviors and not 'shaming' food choices on social media as a health intervention. We know that generating guilt around food is not particularly helpful when it comes to lifestyle change and maintenance," Aisling added.

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