Alcohol may up skin cancer risk, reveals study

Agencies
August 2, 2017

Boston, Aug 2: People who consume alcohol regularly may be at an increased risk of developing non-melanoma skin cancer, a study warns.

Researchers from Harvard T H Chan School of Public Health in the US conducted a systematic literature search and meta- analysis to quantify the relationship between alcohol intake and non melanoma skin cancer (NMSC).

Several types of skin cancer fall within the broader category of NMSC, with the most common types being basal cell carcinoma (BCC) and cutaneous squamous cell carcinoma (cSCC).

A total of 13 case-control and cohort studies were included in the systematic review, with 95,241 NMSC cases.

Researchers found that for every 10 gramme increase in alcohol intake per day there was a positive correlation for BCC and cSCC.

Evidence indicated a nonlinear correlation for BCC, although this could result from sparse data at higher levels of alcohol intake, 'HealthDay' reported.

"Because alcohol drinking is a prevalent and modifiable behaviour, it could serve as an important public health target to reduce the global health burden of NMSC," researchers said.

The study was published in the British Journal of Dermatology.

 

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Agencies
April 28,2020

As the world grapples with the impact of the novel coronavirus, daily interaction with the outside world --- public and retail spaces, restaurants, educational institutions, and even with each other has been and will continue to be reoriented prioritising personal hygiene and public health.

The sensibilities are building towards and leading to major changes in how the country's food service industry is expected to operate.

Based on a recent consumer survey by restaurant tech platform, Dineout, Indian diners are now ranking safety assurances and premier hygiene as top factors when it comes to choosing a restaurant to dine in.

The survey by Dineout conducted across 20 cities revealed that in a post-COVID-19 era, 81 per cent diners will prefer digital menus at restaurants, while 77 per cent of people will continue to want to dine out.

The survey found that 23 per cent people would prefer continuing with delivery/takeaway and online payment becomes the most preferred option with 60 per cent votes.
 
Diner's response to Contactless Dining:

 

Over 96 per cent demand better waitlist management
 
81 per cent consumers would rather scan a QR on their phone to place an order instead of handling physical menus or tablet-based digital menus.
 
After a dining experience, 60 per cent prefer seamless wallet-based digital payments over cash/cards 85 per cent would choose a digital valet over waiting in possibly contaminated public spaces and 84 per cent would prefer offering digital feedback over physical feedback collection.

 

What do people want to eat?
 
The report also revealed that most of India has been craving Pizza since the lockdown, except in Chennai, Hyderabad and Kolkata where their popular and indigenous Biryani recipes reign supreme. 
 
Which restaurants are diners waiting to go to?
 
77 per cent respondents claimed that they are waiting to dine out with friends and family once the lockdown is lifted.
 
Big Chill, Barbeque Nation and Social emerged as favourites in Delhi, while Mumbaikars picked Global Fusion, Poptates and Asia Kitchen. Bangaloreans miss going to pubs like Toit, Vapour and Barbeque Nation.
 
Aminia, Arsalan and Momo I Am emerge as the top picks in Kolkata.
 
Contrary to popular belief, Delhitties picked vegetarian over non-vegetarian food.
 
Bangaloreans and Lucknowis would rather have their drinks over food.
 
Besides the new parameters for restaurant selection, the factors deciding consumer delight have also seen a major overhaul as hygiene takes precedence. Consumers would prefer that the total number of reservations in a certain period be limited with the option to pre-select the seating, ample amounts of sanitisers at tables along with UV sanitised utensils whenever possible.
 
Hygiene ratings with detailed hygiene information, regular hygiene checks & usage of mask and disposable gloves by waiters are likely to be the new standard, with diners expecting service personnel to sanitise tables & chairs after every use.
 
Dineout recently unveiled the �contactless dining suite' to help restaurants survive and thrive in a post-COVID-19 world. The brand will also provide PPE Safety Kits to Restaurants to help ensure hygiene measures and is facilitating COVID free certification for restaurants through a licensed lab to ensure all microbiological tests are in place before restaurants restart post the lockdown.

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Agencies
May 25,2020

Singapore, May 25: COVID-19 patients are no longer infectious after 11 days of getting sick even though some may still test positive, according to a new study by infectious disease experts in Singapore.

A positive test "does not equate to infectiousness or viable virus," a joint research paper by Singapore's National Centre for Infectious Diseases and the Academy of Medicine, Singapore said. The virus "could not be isolated or cultured after day 11 of illness."

The paper was based on a study of 73 patents in the city-state.

The latest findings may have implications on the country's patient discharge policy. The discharge criteria is currently based on negative test results rather than infectiousness.

Singapore's strategy on managing COVID-19 patients is guided by the latest local and international clinical scientific evidence, and the Ministry of Health will evaluate if the latest evidence can be incorporated into its patient clinical management plan, according to a report by the Straits Times.

So far, 13,882, or about 45% of the total 31,068 Covid-19 patients in Singapore have been discharged from hospitals and community facilities. Singapore reported 642 new Covid-19 cases as of noon on Saturday.

The government has been actively screening pre-school staff as it prepares to reopen pre-schools from June 2. On Friday, two pre-school employees tested positive for the novel coronavirus, bringing the total number of confirmed cases among pre-school staff to seven, according to the Ministry of Health.

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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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