RT @ellenfallows: I’m often told GPs should focus on socio-economic conditions and not “waste time” supporting people with lifestyle change…
RT @ellenfallows: I’m often told GPs should focus on socio-economic conditions and not “waste time” supporting people with lifestyle change…
RT @ellenfallows: I’m often told GPs should focus on socio-economic conditions and not “waste time” supporting people with lifestyle change…
RT @ellenfallows: I’m often told GPs should focus on socio-economic conditions and not “waste time” supporting people with lifestyle change…
RT @ellenfallows: I’m often told GPs should focus on socio-economic conditions and not “waste time” supporting people with lifestyle change…
While it continues to kill me when studies lump 'fat' & 'carbs' together 🤬, this study has fascinating methods and findings and I LOVE the clear way in which it is written @clairewakai @Erin_Hoare @allendersteve @DrAdrienneOneil
RT @ellenfallows: I’m often told GPs should focus on socio-economic conditions and not “waste time” supporting people with lifestyle change…
RT @ellenfallows: I’m often told GPs should focus on socio-economic conditions and not “waste time” supporting people with lifestyle change…
In this London study “The prevalence of illnesses connected to the metabolic syndrome such as circulatory diseases or high cholesterol does not significantly change across socio-economic groups” Interesting 👍
I’m often told GPs should focus on socio-economic conditions and not “waste time” supporting people with lifestyle changes. In a London study, socio-economic conditions mattered far less than what people ate. @BritSocLM @EASOobesity https://t.co/HCm6
@mjboniface @Dr2NisreenAlwan
Wow! ✊🏼Power of big data in the right hands👉🏼”nutrient diversity and amount of calories are the two strongest predictors of the prevalence of ...hypertension, high cholesterol, and diabetes” Large-scale analysis of food purchases&health @BritSocLM h
RT @M_Keeble: Not read this one yet, but possibly of interest for folks at @CedarUK https://t.co/JNtF3b1pjW
Not read this one yet, but possibly of interest for folks at @CedarUK
working paper here: Researchers examine all purchases at London @Tesco in 2015 and NHS GP prescriptions. Large-scale and high-resolution analysis of food purchases and health outcomes https://t.co/XIXV7JuNbE
"People in areas of London with higher prevalence of metabolic conditions end up buying carbs & sugar to a considerable extent. By contrast, people in healthy neighbourhoods counter their evolutionary adaptation & buy considerable quantities of fib
"we show that nutrient diversity and amount of calories are the two strongest predictors of the prevalence of three diseases related to what is called the “metabolic syndrome”: hypertension, high cholesterol, and diabetes." #badania
يتحدث الكتاب الاستثنائي (Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us About Who We Really Are) أيضا عن هذا الاتجاه، ويناقش العديد من الدراسات ذات النتائج الفعالة التي أجريت على هذا النحو. هنا الدراسة: https://t.co/mHsS5HROtc
@PeterAttiaMD This addresses at least one major criticism of nutritional epi (intentional and unintentional misreporting of food intake from food diaries, weekly recalls, etc).
@PeterAttiaMD addresses at least one major criticism of nutritional epi (intentional and unintentional misreporting of food intake from food diaries, weekly recalls, etc).
Large-scale and high-resolution analysis of food purchases and health outcomes https://t.co/QZi5HT81Vw
In so doing, we found that, as one expects, the “trick” to not being associated with chronic diseases is eating less what we instinctively like (e.g., sugar, carbohydrates), … https://t.co/GzNgG2gINH @ProfTimNoakes
Grocery bills can predict diabetes rates by neighborhood https://t.co/nZq3GKwbwu | @techreview Large-Scale And High-Resolution Analysis Of Food Purchases And Health Outcomes https://t.co/nZq3GKwbwu https://t.co/EFHP2SJJFx | @lajello et al | https://t.co/j
RT @centinel5051: Interesante estudio: Uso de datos masivos sobre compras de alimentos y salud para identificar asociaciones entre factores…
RT @denadai2: I'm always amazed about @tobi_vierzwo visualizations! Congrats @lajello, @rschifan and @danielequercia for the paper! Link: h…
I'm always amazed about @tobi_vierzwo visualizations! Congrats @lajello, @rschifan and @danielequercia for the paper! Link: https://t.co/Ip78eGxzs8
RT @centinel5051: Interesante estudio: Uso de datos masivos sobre compras de alimentos y salud para identificar asociaciones entre factores…
Interesante estudio: Uso de datos masivos sobre compras de alimentos y salud para identificar asociaciones entre factores https://t.co/P9AeFFveaH
This is a really exciting paper! https://t.co/jrQ9WLAHnQ
@dnunan79 @ggkuhnle @kevinnbass As shown here https://t.co/twl6T5nNYP
This is a fabulous paper on *so* many levels. In sum, high calorie consumption and low nutrient diversity most predictive of hypertension, cholesterol & diabetes: Large-scale and high-resolution analysis of food purchases and health outcomes https://t
RT @erik_arnesen: Large-scale and high-resolution analysis of food purchases and health outcomes - Analysis of 1.6 billion (!) food item pu…
RT @erik_arnesen: Large-scale and high-resolution analysis of food purchases and health outcomes - Analysis of 1.6 billion (!) food item pu…
No self report bias if it’s not self reported.
RT @erik_arnesen: Large-scale and high-resolution analysis of food purchases and health outcomes - Analysis of 1.6 billion (!) food item pu…
RT @erik_arnesen: Large-scale and high-resolution analysis of food purchases and health outcomes - Analysis of 1.6 billion (!) food item pu…
"by linking 1.6B food item purchases and 1.1B medical prescriptions /./ we show that nutrient diversity and amount of calories are the two strongest predictors of the prevalence of three diseases related to the “metabolic syndrome”: hypertension, high chol
Food purchase (finally an objective measure) and associations with health outcomes: https://t.co/4YiqFtdJyT
RT @erik_arnesen: Large-scale and high-resolution analysis of food purchases and health outcomes - Analysis of 1.6 billion (!) food item pu…
RT @erik_arnesen: Large-scale and high-resolution analysis of food purchases and health outcomes - Analysis of 1.6 billion (!) food item pu…
RT @erik_arnesen: Large-scale and high-resolution analysis of food purchases and health outcomes - Analysis of 1.6 billion (!) food item pu…
RT @erik_arnesen: Large-scale and high-resolution analysis of food purchases and health outcomes - Analysis of 1.6 billion (!) food item pu…
RT @erik_arnesen: Large-scale and high-resolution analysis of food purchases and health outcomes - Analysis of 1.6 billion (!) food item pu…
RT @erik_arnesen: Large-scale and high-resolution analysis of food purchases and health outcomes - Analysis of 1.6 billion (!) food item pu…
RT @erik_arnesen: Large-scale and high-resolution analysis of food purchases and health outcomes - Analysis of 1.6 billion (!) food item pu…
RT @erik_arnesen: Large-scale and high-resolution analysis of food purchases and health outcomes - Analysis of 1.6 billion (!) food item pu…
RT @erik_arnesen: Large-scale and high-resolution analysis of food purchases and health outcomes - Analysis of 1.6 billion (!) food item pu…
RT @erik_arnesen: Large-scale and high-resolution analysis of food purchases and health outcomes - Analysis of 1.6 billion (!) food item pu…
This is the kind of data I've been dreaming about 😍
RT @erik_arnesen: Large-scale and high-resolution analysis of food purchases and health outcomes - Analysis of 1.6 billion (!) food item pu…
Large-scale and high-resolution analysis of food purchases and health outcomes - Analysis of 1.6 billion (!) food item purchases and 1.1B medical prescriptions in London https://t.co/F18932sFEf #epitwitter #nutritionepi #bigdata
RT @lajello: Our work about the relationship between grocery purchases and health outcomes at city-scale is out on @epj_ds! https://t.co/GD…
RT @lajello: Our work about the relationship between grocery purchases and health outcomes at city-scale is out on @epj_ds! https://t.co/GD…
RT @lajello: Our work about the relationship between grocery purchases and health outcomes at city-scale is out on @epj_ds! https://t.co/GD…
RT @lajello: Our work about the relationship between grocery purchases and health outcomes at city-scale is out on @epj_ds! https://t.co/GD…
RT @lajello: Our work about the relationship between grocery purchases and health outcomes at city-scale is out on @epj_ds! https://t.co/GD…
This is the significant journal
日本のスーパーとか徹底して共有してくれないのかしら?(´・ω・`)統計局でも市区町村別メッシュで取り出せたりするとは思いにくいあたり…これはかなり魅力的。 https://t.co/KwsIixVuV4
Interesting results and implications from a study on association of food consumption and health outcomes TLDR nutrition & diet more than socio-economic variables such as income https://t.co/PPWDgZUW9Z https://t.co/gktNwl0Mzy
RT @bwaber: Fascinating study by @danielequercia et al: Large-scale and high-resolution analysis of food purchases and health outcomes http…
Fascinating study by @danielequercia et al: Large-scale and high-resolution analysis of food purchases and health outcomes https://t.co/eALRFm0KrE - Using grocery store purchase data to estimate geographic health issues
Large-scale and high-resolution analysis of food purchases and health outcomes. https://t.co/i94rQMqLtP
RT @lajello: Our work about the relationship between grocery purchases and health outcomes at city-scale is out on @epj_ds! https://t.co/GD…
RT @lajello: Our work about the relationship between grocery purchases and health outcomes at city-scale is out on @epj_ds! https://t.co/GD…
Very well done!
RT @lajello: Our work about the relationship between grocery purchases and health outcomes at city-scale is out on @epj_ds! https://t.co/GD…
RT @lajello: Our work about the relationship between grocery purchases and health outcomes at city-scale is out on @epj_ds! https://t.co/GD…
RT @lajello: Our work about the relationship between grocery purchases and health outcomes at city-scale is out on @epj_ds! https://t.co/GD…
RT @lajello: Our work about the relationship between grocery purchases and health outcomes at city-scale is out on @epj_ds! https://t.co/GD…
RT @lajello: Our work about the relationship between grocery purchases and health outcomes at city-scale is out on @epj_ds! https://t.co/GD…
RT @lajello: Our work about the relationship between grocery purchases and health outcomes at city-scale is out on @epj_ds! https://t.co/GD…
RT @lajello: Our work about the relationship between grocery purchases and health outcomes at city-scale is out on @epj_ds! https://t.co/GD…
@LineGordon
RT @lajello: Our work about the relationship between grocery purchases and health outcomes at city-scale is out on @epj_ds! https://t.co/GD…
RT @lajello: Our work about the relationship between grocery purchases and health outcomes at city-scale is out on @epj_ds! https://t.co/GD…
RT @lajello: Our work about the relationship between grocery purchases and health outcomes at city-scale is out on @epj_ds! https://t.co/GD…
RT @lajello: Our work about the relationship between grocery purchases and health outcomes at city-scale is out on @epj_ds! https://t.co/GD…
RT @lajello: Our work about the relationship between grocery purchases and health outcomes at city-scale is out on @epj_ds! https://t.co/GD…
RT @lajello: Our work about the relationship between grocery purchases and health outcomes at city-scale is out on @epj_ds! https://t.co/GD…
RT @lajello: Our work about the relationship between grocery purchases and health outcomes at city-scale is out on @epj_ds! https://t.co/GD…
RT @lajello: Our work about the relationship between grocery purchases and health outcomes at city-scale is out on @epj_ds! https://t.co/GD…