Now data scientists have analyzed sales figures from London’s biggest grocer to link eating patterns with local rates of high blood pressure, high cholesterol, and high blood sugar.In 1826, the French gastronomer Jean Anthelme Brillat-Savarin published a book called Brillat-Savarin would no doubt have much to say about the increasingly obese, hypertensive, and diabetic citizens of the developed world. They used this to work out the average nutritional intake for 937 neighborhoods in London.
“Our study shows that analytics of digital records of grocery purchases can be used as a cheap and scalable tool for health surveillance,” say Aiello and co. Brillat-Savarin would surely be amazed.- Your daily dose of what's up in emerging technology Dietary habits are notoriously difficult to monitor. Last week, MIT Technology Review wrote that the US will not be going back to work by Easter , regardless of encouraging news that the Hubei province in China has started to ease restrictions. The medical prescription data is also available at that neighborhood level. Researchers have also tried to infer what web users eat. Food is an important factor in this state of affairs. “The scale and granularity of our analysis is unprecedented,” say Aiello and co.Tesco has 411 shops in London used by 1.6 million customers with loyalty cards, who bought 1.6 billion food items in 2015. In September 2005, it was changed, under its then editor-in-chief and publisher, Jason Pontin, to a form resembling …
The data revealed the distribution of these conditions across the city.Finally, the team compared the data sets to see how nutrition correlates with metabolic syndrome conditions and then mapped out the results across the city.There are also important differences between London neighborhoods. Yes No. In Europe, some estimates suggest, 50% of the population will be obese by 2050.
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“The residents of Hackney, which is a deprived yet highly-educated neighbourhood in East London, enjoy healthier eating habits and do not suffer from diabetes as much as Newham’s residents,” say Aiello and co.The team go on to predict the levels of high blood pressure, high cholesterol, and high blood sugar in a neighborhood merely by looking at the local calorie and nutrient consumption. Grocery bills can predict diabetes rates by neighborhood. The grocery bills come from Tesco, Britain’s largest grocery chain. But critics say this approach is plagued by biases and so cannot reliably capture dietary habits.So a better way of studying eating patterns and their health effects is desperately needed.Enter Luca Maria Aiello at Nokia Bell Labs in Cambridge, UK, and colleagues, who have studied diet by mining the data from grocery bills and then comparing it with the population’s health, as determined by medical prescriptions issued in the area.The power of their approach comes from the sheer scale of the work. Increase.
The data set includes each item, its weight, the date, and the customer’s postcode.Aiello and co extracted the nutrition content for each item, including total energy, fats, saturated fats, carbohydrates, and so on. Indeed, they say their classifier can identify unhealthy areas with an accuracy of 91%.That’s interesting work that has important implications for the way health providers, policy makers, and even insurance companies assess health. MIT Technology Review; MIT; Read the story The 5G operator Platforms, partnerships, and IT stratelytics becomes core to decision-making, companies are pushing the boundaries of their IT systems to take advantage of data-driven technologies.
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In the US, 36% of adults and 17% of children are obese. Stay updated on MIT Technology Review initiatives and events? Last week, MIT Technology Review wrote that the Here is our annual list of 10 Breakthrough Technologies. Much of the work in this area is based on relatively small studies.
Dietary habits are notoriously difficult to monitor. More newsletters > Popular. Londoners were prescribed 1.1 billion medicines in 2016, from which the team inferred the conditions they suffered. Mark is an expert in the macroeconomics of China, a research associate at the National Bureau of Economic Research (NBER), and the North American editor of the Pacific Economic Review. MIT Technology Review est un magazine américain publié par Technology Review, Inc, une société de médias appartenant au Massachusetts Institute of Technology (MIT). It’s not.Meet the parents using Trello to plan their kids’ coronavirus homeschoolingHow coronavirus is transforming online dating and sexThe coronavirus test that might exempt you from social distancing—if you passWhat the hell is going on with coronavirus testing in the US?Also stay updated on MIT Technology Review initiatives and events?
The researchers were particularly interested in the prevalence of “metabolic syndrome” conditions, which are characterized by high blood pressure, high cholesterol levels, and high blood sugar levels (diabetes). The wealthy and highly educated residents of the City of London and Chelsea consume more fiber and have greater nutrient diversity.By contrast, residents of Newham, a relatively deprived neighborhood, consume more calories and less diverse nutrients, and they have higher levels of diabetes.But healthy areas are not necessarily well off. So researchers desperately want to know more about dietary habits and how they relate to health.But teasing apart people’s eating habits is a surprisingly tricky business. MIT Technology Review is a magazine wholly owned by the Massachusetts Institute of Technology, and editorially independent of the university. Take the survey. Plus: why predictions matter and how to get better at them.Lockdown was supposed to be an introvert’s paradise.