The discussion is very welcome John, you are wrong about wasting your time on that count. For me I fully expect my obesity to kill me when I get this thing, I've been stating that from very early on when it became clear that it was a co-morbidity. I am reading the Lancet article don't know if you meant this one https://www.thelancet.com/journals/lancet/article/PIIS0140-6736(20)30566-3/fulltext The lancet article about the January study in Chinese hospitals is one I had not seen before, some of the details in there are quite scary, very low survival rates on any kind of ventilation. Quite hard to get to assess as the presentation of the statistics is quite complex for the layman and I count myself a layman in this instance, but it would appear that pre-existing heart disease is one of the biggest factors. This was very early data and I accept that later studies will have clarified the risk factors.
“A new study of thousands of hospitalized coronavirus patients in the New York City area, the epicenter of the outbreak in the United States, has found that nearly all of them had at least one major chronic health condition, and most — 88 percent — had at least two.“ “Nearly 60 percent of those hospitalized at the Northwell facilities had high blood pressure, 40 percent were obese, and about one-third had diabetes. Smaller numbers of patients suffered from other chronic illnesses, such as heart disease, kidney disease and chronic respiratory illnesses.“ Taken from a report featured in the New York Times 23/04/20: https://www.nytimes.com/2020/04/23/health/coronavirus-patients-risk.html
Center for Disease Control and Prevention. People of any age with certain underlying medical conditions are at increased risk for severe illness from COVID-19: https://www.cdc.gov/coronavirus/2019-ncov/need-extra-precautions/people-with-medical-conditions.html Evidence: https://www.cdc.gov/coronavirus/2019-ncov/need-extra-precautions/evidence-table.html
Lancet. Published 11/03/20 “191 patients (135 from Jinyintan Hospital and 56 from Wuhan Pulmonary Hospital) were included in this study, of whom 137 were discharged and 54 died in hospital. 91 (48%) patients had a comorbidity, with hypertension being the most common (58 [30%] patients), followed by diabetes (36 [19%] patients) and coronary heart disease (15 [8%] patients). Multivariable regression showed increasing odds of in-hospital death associated with older age (odds ratio 1·10, 95% CI 1·03–1·17, per year increase; p=0·0043), higher Sequential Organ Failure Assessment (SOFA) score (5·65, 2·61–12·23; p<0·0001), and d-dimer greater than 1 μg/mL (18·42, 2·64–128·55; p=0·0033) on admission. Median duration of viral shedding was 20·0 days (IQR 17·0–24·0) in survivors, but SARS-CoV-2 was detectable until death in non-survivors. The longest observed duration of viral shedding in survivors was 37 days.“ https://www.thelancet.com/journals/lancet/article/PIIS0140-6736(20)30566-3/fulltext Results 813 adult patients were hospitalised in Jinyintan Hospital or Wuhan Pulmonary Hospital with COVID-19 before Jan 31, 2020. After excluding 613 patients that were still hospitalised or not confirmed by SARS-CoV-2 RNA detection as of Jan 31, 2020, and nine inpatients without available key information in their medical records, we included 191 inpatients (135 from Jinyintan Hospital and 56 from Wuhan Pulmonary Hospital) in the final analysis. 54 patients died during hospitalisation and 137 were discharged. The median age of the 191 patients was 56·0 years (IQR 46·0–67·0), ranging from 18 years to 87 years, and most patients were male (table 1). Comorbidities were present in nearly half of patients, with hypertension being the most common comorbidity, followed by diabetes and coronary heart disease (table 1). The most common symptoms on admission were fever and cough, followed by sputum production and fatigue (table 1). Lymphocytopenia occurred in 77 (40%) patients. 181 (95%) patients received antibiotics and 41 (21%) received antivirals (lopinavir/ritonavir; table 2). Systematic corticosteroid and intravenous immunoglobulin use differed significantly between non-survivors and survivors (table 2). The comparison of characteristics, treatment, and outcomes of patients from the two hospitals are shown in the appendix (pp 2–4).
Agreed, but during a lockdown retaining cardiac fitness while reversing obesity is not simple particularly when you live in tiny flat and have a sedentary job. The CDC tables you linked to are a great reference by the way.
A half an hour brisk walk or a bike ride every day would help tremendously, Jim I need to get into a routine doing this very soon also.
We have a cycle machine in the house and a set of pedals (like a small cycle machine that I use when at work.
Remember what I said. It’s all in the food you eat or don’t eat. And not in the level of exercise. Thousands of people are reversing their conditions without using the gym, treadmill, bike etc. How easy is it? Just a matter of a month. You are not the only one by a long long way who cannot spend all day in the gym. I know it’s hard to do Oss, but put CICO to one side.
I thought this track and trace app scanned where you are and tells you if the area is low medium or high Covid risk, or do you have to scan a location?
I was at Heathrow this morning to watch BA's last two 747's take off heading to a breakers yard, there was a crowd there near the esso garage on the perimeter Road to watch. I got into a conversation with a gentleman who who works at both the Heathrow testing centre and sometimes the Twickers one, the Heathrow one costs £15,000 a day to run and tests on average 20 people a day, the Twickenham one tests a similar number.
That is absolutely not what it does. It compares your proximity to other phones which are running the app and then remembers the shared id and duration of the proximity of those other phones. Proximity is calculated from Bluetooth (short range) signal strength and risk is determined by the time spent close to someone who later reports an infection. The bit at the top where it shows your postcode as being high risk, is taken from the data you enter when you set it up it is not as far as I can see using GPS to track you. The venue check-in QR Code function is for situations where you could be indoors and at higher risk even if not close enough to cross paths via Bluetooth. All the data is kept on the phone and the generated tokens related to your phone which get exchanged with other phones in range are used to look up other devices that have been in proximity to an infected individual and to notify the devices of that contact, no personal data is exchanged. The shared id is a public throwaway token it does not identify you. If you get warned of exposure you should self-isolate this will be quicker than going and getting a test. GPS does not work indoors and is not accurate enough to measure the separation of individuals, all the app is doing is saying you were in a certain radius of an infected person for a certain length of time, you won't get notified if you walked through someone's Bluetooth radius and it took a few seconds.
You might remember James Cracknell OBE and Double Olympic Gold Medallist in the coxless fours. He just recently ran for 5 days with just water to drink. No food. His fuel? - body fat. “Double Olympic gold medallist, James Cracknell, is running 100 miles in five days whilst only consuming water to prove that the body can be fuelled by fat alone. When explaining the challenge on his social media pages, Cracknell wrote, ‘Why? The Dietary Guidelines advises 55% of our diet should be carbohydrate has no scientific basis. Society is eating too many carbs, as a result over 60% of the UK population is overweight. This project is aiming to prove the body can turn to fat to fuel itself efficiently.’“ https://www.runnersworld.com/uk/news/a34105606/james-cracknell-100-miles-water/
Yeah that's what fat is for, food is not always regularly available so animals developed storage mechanisms to smooth out the supply of energy, the fat system is a rechargeable battery. Cracknell wasn't doing his bowel fauna any favours by that stunt.
How do you mean? What he has set out to prove is what is already well known, but for the benefit of those with difficulty in grasping the idea. Whilst we pontificate unescessarily on our bowel fauna, we maintain the risks highlighted by CDC. It was an experiment in metabolic performance. This article gives more on the background to the experiment: https://www.dietdoctor.com/uk-team-completes-a-100-mile-five-day-run-with-no-food
The health of the microbiome in the Bowel is directly related how you process food, and the population of the microbiome varies according to your diet, by fasting for 5 days that population of bacteria would have changed.
It was of course an experiment. I recall they make that very clear. Not to be done at home of course. But it is or was an experiment well worth conducting. There will be a video produced from it sometime soon. As Cracknell points out. You would think a double Olympic gold medallist in a tough event would have nothing left to learn on sport and nutrition but he concedes he learnt something new. Each of the participants were either already “fat adapted” or became fat adapted, whereupon they each burned body fat. This of course can be pretty useful for those wanting / needing to reduce body fat.
