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Cristiano Ronaldo SOLD his 2013 Ballon d’Or trophy to Israel’s richest man Idan Ofer for £600,000 – Daily Mail
Cristiano Ronaldo SOLD his 2013 Ballon d’Or trophy to Israel’s richest man Idan Ofer… with the £9.1BILLION businessman paying £600,000 at a London auction to raise money for charity Make-A-Wish in 2017
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Older adults’ risk of heart disease is reduced by walking 3-4 miles a day: Study – Hindustan Times
According to research published in the journal Circulation, older adults who walk three to four miles per day 6,000 to 9,000 steps, are 40 to 50 per cent less likely to suffer a heart attack or stroke than those who walk a mile (2,000 steps) per day.
Older adults who walk three to four miles per day 6,000 to 9,000 steps, are 40 to 50 per cent less likely to suffer a heart attack or stroke than those who walk a mile (2,000 steps) per day, according to research published in the journal Circulation.The findings were based on data from eight studies involving 20,152 people aged 18 and up who had their walking measured by a device and their health tracked for an average of more than six years, according to The Washington Post, a US-based news outlet.(Also read: Health benefits of walking, tips on getting started and finding your style )
The more steps taken by those aged 60 and up, the lower their risk of cardiovascular disease (CVD).The study found no link between steps taken and CVD risk in young adults.
The probable reason for that, the researchers wrote, is that CVD “is a disease of ageing” generally diagnosable until risk factors such as high blood pressure, obesity and diabetes have progressed for years.
The researchers did not find any link between walking distance and specific types of cardiovascular diseases, such as heart failure or arrhythmia, but rather with heart disease in general.
The study also discovered no additional benefit from walking at a faster pace.However, the health benefits of walking have been the subject of numerous studies and ongoing debates.
An earlier study from the same research group, published in the Lancet last March, discovered similar links between steps taken by older adults and a lower risk of death from any cause, as did a September study published in JAMA Internal Medicine.
However, that study also discovered that a faster pace increased risk reduction.
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Crypto exchange Binance plans 15-30% hiring spree in 2023 even as rivals slash jobs – CNBC
– Binance is planning a hiring spree in 2023, CEO Changpeng Zhao said Wednesday, taking somewhat of a contrarian view as crypto firms lay off huge swathes of staff.
– Rival exchanges have been forced to cut large parts of their workforce after nearly $1.4 trillion was wiped off the crypto market in 2022.
– Zhao said Binance needs to get the company “well-organized” ahead of the next crypto bull run and admitted the exchange is “not super efficient.”
Binance is planning a hiring spree in 2023, CEO Changpeng Zhao said Wednesday, taking a somewhat contrarian view as crypto firms lay off huge swathes of staff amid continued pressure on coin prices.
Zhao said Binance, the world’s largest cryptocurrency exchange, said the company increased headcount in 2022 from 3,000 people to “almost” 8,000.
In 2023, Binance plans to increase the number of staff by between 15% and 30%, Zhao said at the Crypto Finance Conference in St.Moritz, Switzerland.
Rival exchanges have been forced to cut large parts of their workforce after nearly $1.4 trillion was wiped off the crypto market in 2022 and major digital currencies including
bitcoin and ether saw their prices plunge.
In November,
Kraken announced it was laying off 30% of staff, and this year Huobi and Coinbase said it would cut 20% of its workforce.That was the second round of job cuts for Coinbase in the last year.
Zhao said Binance needs to get the company “well-organized” ahead of the next crypto bull run and admitted the exchange is “not super efficient.”
“We will continue to build and hopefully we will ramp up again before the next bull market,” Zhao said.
The industry was plagued last year by collapses of major projects, liquidity issues, bankruptcies and the high-profile failure of crypto exchange FTX.Sam Bankman-Fried who founded FTX has been
charged with eight criminal counts by U.S.prosecutors, including fraud.
Binance had a big role to play in FTX’s collapse.
In November, Binance
offered to buy FTX’s non-U.S.businesses which were facing liquidity issues but then later backed out of the deal.Zhao said publicly that his company was selling its holdings in FTX’s native token FTT, which exacerbated the collapse of that digital coin, adding to FTX’s downward spiral.Zhao has said that he “did not master plan” the collapse of FTX.
In response to a CNBC question on the sidelines of the CFC St Moritz conference, the Binance CEO said the “actual damage is not that high” on the crypto industry from the FTX collapse.
He said FTX “is not a big player, they just make a lot of noise.”
“There’s definitely damage [but] the industry will be fine,” Zhao said.
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Study suggests many symptoms are more common after COVID-19 infection, but only a few are commonly associated with a long COVID diagnosis – News-Medical.Net
In a recent study posted to the
medRxiv* preprint server, researchers compared symptoms in patients with and without prior coronavirus disease 2019 (COVID-19) history and investigated symptoms associated with long COVID diagnosis in the United Kingdom (UK).
Background
Long COVID is a well-established consequence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections.However, data on the symptomatic burden of COVID-19 presented by patients at prime care centers (general practices), based on which long COVID diagnosis is established, are limited since the symptoms are usually documented by general practitioners (GPs) in unstructured clinical notes only.
About the study
In the present study, researchers described the long-lasting COVID symptomatic profiles as documented by GPs, and compared symptoms reported by individuals reporting positive or negative prior COVID-19 history.They also identified the symptoms related to long COVID diagnosis by GPs and long COVID risk factors.
The team utilized prime care electronic medical records data obtained from the THIN (the health improvement network) Cegedim prime care database, extracted by natural language processing using the FMA (free-text matching algorithm).
Adult individuals registered with GPs for ≥1.0 years in England, Wales, or Scotland, having a Read clinical terminology for suspected SARS-CoV-2 infection or confirmed SARS-CoV-2 infection, or clinical Read terminology for unspecific respiratory or viral infections with a mention of SARS-CoV-2 infection in unstructured data, or SARS-CoV-2-positive reports, were included.
For comparison, individuals without prior SARS-CoV-2 exposure or prior unspecific viral disease history were included as controls in a 1:1 ratio with case individuals.Data related to 89
COVID-19 symptoms and the diagnosis of long COVID were extracted.The data comprised structured information (comprising symptoms and diagnoses coded based on the Read terms) and unstructured information (comprising free-text clinical information in GP records, were analyzed.
For the initial evaluation of the symptomatic burden, odds ratios (ORs) were calculated for symptom documentation based on patient categories in four-week periods post-index date in comparison to the pre-index date reference period of eight weeks to 12.0 weeks.
Cox proportional hazard modeling was performed, and the adjusted hazard ratios (aHRs) were calculated with data adjustments for sex, age, ethnicity, medical history, body mass index, smoking habits, medical visits within one year prior to the index dates, and symptoms recorded 1.0 month to 3.0 months prior to the index dates).
The data were adjusted for every symptom reported after 12.0 weeks of COVID-19 diagnosis, representing the period exceeding which symptoms observed could contribute to the long COVID condition diagnosis, based on the World Health Organization (WHO) diagnostic criteria.Analyses were weighted based on inverse probability weighting and stratified based on general practice.
LCA (latent class analysis) was performed to identify the symptoms and risk factors associated with the diagnosis of long COVID.
Results
The team assessed data from 11,015 individuals with confirmed SARS-CoV-2 infection and 15,841 individuals with suspected SARS-CoV-2 infection, compared to 18,098 controls.Among 60,800 study participants, 63% (n=38,407) were women, with a mean participant age of 52.0 years, with equivalent participation from individuals residing in Wales, Scotland, and England.The majority (90%) of participants were Whites.
Twenty percent and 80% of symptoms were coded and freely available, respectively.A persistently higher symptom documentation rate was observed 9.0 months beyond the index dates for COVID-19 patients and was greater among individuals with confirmed COVID-19.Associations inferred from structured data were identical to associations derived from unstructured data, and similar associations were observed in the subgroup analyses based on sex, age, and nationality.
Several symptoms were observed in association with SARS-CoV-2 infections ≥12.0 weeks post-SARS-CoV-2 infection, with the most robust associations in relation to the symptoms of fatigue, breathlessness, phlegm, and palpitations with aHR values of 4.0, 3.1, 2.9, and 2.8, respectively.However, only a few symptoms were documented within one week before the long COVID diagnosis in >20% of cases.They included breathlessness, fatigue, pain in the chest pain, cough, fatigue, and depression/anxiety.
The variables associated with significantly greater long COVID risks included the female gender (HR 1.2), age (HR 1.0 for each year elder), number of days with symptoms documented within one to three months before the index dates (HR 1.1 for each day of symptom documentation), annual medical visit frequency (HR 1.0), and hospitalization in the acute COVID-19 period (HR 3.6).LCA analysis findings indicated that the 2.0-class model was most appropriate for the study data.
Conclusion
The study findings showed that several symptoms are documented at prime care settings ≥12 weeks post-SARS-CoV-2 infection.
However, only a few are commonly associated with long COVID diagnoses by general practitioners.In addition, a higher incidence of several symptoms was observed among individuals with prior COVID-19 history.
The wide spectrum of clinical symptoms of long COVID is indicative of multiple distinctive long COVID subtypes, with probably different immune pathways and other molecular aspects of COVID-19 pathophysiology.
*Important notice
medRxiv publishes preliminary scientific reports that are not peer-reviewed and, therefore, should not be regarded as conclusive, guide clinical practice/health-related behavior, or treated as established information.
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