Married couples share the risk of diabetes: Study

Agencies
May 24, 2018

London, May 24: Your partner’s body mass index (BMI) can predict your risk of developing diabetes, according to a which found study has found that men are particularly more prone to developing the metabolic disease if their wife obese.

Researchers from University of Copenhagen and Aarhus University in Denmark examined data from 3,649 men and 3,478 women in the UK.

On a global scale, 422 million adults have diabetes according to World Health Organisation (WHO), and it is estimated to cause 1.5 million deaths.

“We have discovered that you can predict a person’s risk of developing type 2 diabetes based on his or her partner’s BMI. This means that you can tell whether a person has a heightened risk or not on the basis of the partner’s BMI,” said Jannie Nielsen, which has been published in the scientific journal Diabetologia.

From other studies the researchers knew that spouses are often similar in terms of body weight, among other things because people often marry someone similar to themselves and often share dietary and exercise habits when living together.

Therefore, the researchers also examined whether the heightened risk of developing type 2 diabetes of an obese woman, for example, was merely a result of her own body weight. Here the researchers found a difference between the two sexes.

“If we adjusted for the women’s own weight, they did not have a heightened risk of developing type 2 diabetes as a result of their husband’s BMI. But even when we adjusted for the weight in men, they had a heightened risk,” said Nielsen.

A man, whose wife had a BMI of 30, had a 21 per cent higher risk of developing diabetes than men whose wives had a BMI of 25 – regardless of the man’s own BMI.

The researchers have not examined why only the men still had a heightened risk after own weight adjustment. They do have a theory, though, which involves who is in charge of the household.

“We believe it is because women generally decide what we eat at home. That is, women have greater influence on their spouse’s dietary habits than men do,” Nielsen said, referring to a previous study, which showed that women more often than men are responsible for doing the household’s cooking and shopping.

Diabetes can cause complications and serious sequelae such as damage to the heart, kidneys and eyes. According to the Danish Diabetes Association, 35 per cent experience complications by the time they are diagnosed with diabetes. Therefore, early detection is vital.

“The earlier a disease is detected, the higher the potential for successful prevention and treatment. We know that type 2 diabetes can be prevented or postponed, reducing the number of years that patients have to live with the disease. Just as related complications can be postponed through early detection,” said Nielsen.

If type 2 diabetes is detected at an early stage, medical treatment can be postponed, and instead the patient can begin with lifestyle changes such as eating a healthy diet and doing more physical exercise.

Based on the study, Nielsen believes that early detection of type 2 diabetes can be improved if we change our approach to the disease.

“Our approach to type 2 diabetes should not focus on the individual, but instead on, for example, the entire household. If a woman has a heightened risk, there is a strong probability that it is shared by her husband,” she said.

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News Network
July 10,2020

Toronto, Jul 10: Pasteurising breast milk at 62.5 degrees Celsius for 30 minutes inactivates the SARS-CoV-2 virus that causes Covid-19, making it safe for consumption by babies, a study claims.

According to the research published in the Canadian Medical Association Journal, current advice for women with Covid-19 is to continue to breastfeed their own infants.

In Canada, it is standard care to provide pasteurised breast milk to very-low-birth-weight babies in hospital until their own mother's milk supply is adequate, the researchers said.

"In the event that a woman who is Covid-19-positive donates human milk that contains SARS-CoV-2, whether by transmission through the mammary gland or by contamination through respiratory droplets, skin, breast pumps and milk containers, this method of pasteurisation renders milk safe for consumption," said Sharon Unger, a professor at the University of Toronto in Canada.

The Holder method, a technique used to pasteurise milk in all Canadian milk banks at 62.5 degrees Celsius for 30 minutes, is effective at neutralising viruses such as HIV, hepatitis and others that are known to be transmitted through human milk, the researchers said.

In the latest study, the researchers spiked human breast milk with a viral load of SARS-CoV-2 and tested samples that either sat at room temperature for 30 minutes or were warmed to 62.5 degrees Celsius for 30 minutes.

They then measured for active virus, finding that the virus in the pasteurised milk was inactivated after heating.

More than 650 human breast milk banks around the world use the Holder method to ensure a safe supply of milk for vulnerable infants, the researchers said.

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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 15,2020

Dear parents, if you want your children to have proper sleep, read this carefully. Joining a growing list of studies that tell parents to shun devices at bed-time, researchers say that children who use devices and decide what time they go to sleep, achieve less sleep and feel more sleepier the following day than their peers.

The study of children in this age-group (aged 11 to 13 years), published in the New Zealand Medical Journal, found most (72 per cent) of the 163 students interviewed by University of Otago researchers achieved recommended guidelines of an average 9 to 11 hours sleep nightly over one week.

"But that also means that almost one in four students did not achieve sleep within these guidelines, which highlights an area for improvement," said study researcher Kate Ford.

However, consistent with previous research in 15 to 17-year-old New Zealanders, the study results show less sleep on the nights where devices are used in the hour before bed.

According to the researchers, students who used devices before going to sleep were also more likely to report that they felt sleepy the following morning. Watching television before bed had no significant effect on sleep length.

There were also some interesting observations over the weekends where students went to bed later but woke later achieving similar sleep length to the school days, the researchers said.

A small group of students (six per cent) who reported less than seven hours of sleep, including a small number reporting not sleeping at all, according to the study,

Therefore, while the average across the week of 72 per cent of students reporting adequate sleep is reassuring, it is far from the goal of every child achieving sleep within the recommended guidelines," Ford said.

Dr Paul Kelly, head of the Sleep Health Service at Canterbury District Health Board, supervised the study and explained that the foundations for good health are based on proper nutrition, regular exercise and good sleep quality.

Sleep quality is often overlooked as a contributory factor to poor health.

"The study findings suggest the need for parental guidance around bedtimings and moderation of the use and availability of electronic devices before bed," Kelly said.

"Respect and protect your sleep, as good daytime functioning is reliant on adequate sleep," Kelly added.

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