White Beans vs Pinto Beans – Which is Healthier?
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Our Verdict
When comparing white beans to pinto beans, we picked the pinto beans.
Why?
Both are good and both have their strengths! But we say the pinto beans come out on top in total:
In terms of macros, the two beans are about equal in protein and carbs, while pinto beans have notably more fiber. White beans were already good, but we say having 1.5x the fiber makes pinto beans the winner in this category.
In the category of vitamins, white beans are not higher in any vitamins, while pinto beans have more of vitamins B1, B2, B3, B6, B7, B9, and C, making for a 7:0 win for pinto beans. It’s worth mentioning that both beans are equal in vitamins B5, E, K, and choline, though. Still, pinto beans win easily on the strength of those 7 vitamins they have more of.
When it comes to minerals, white beans have more calcium, copper, iron, magnesium, manganese, potassium, and zinc, while pinto beans have more phosphorus and selenium, making for a win for white beans this time.
Adding up the sections makes for an overall win for pinto beans, but by all means, enjoy either or both; diversity is good!
Want to learn more?
You might like to read:
What’s Your Plant Diversity Score?
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What We Don’t Talk About When We Talk About Fat – by Aubrey Gordon
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There are books aplenty to encourage and help you to lose weight. This isn’t one of those.
There are also books aplenty to encourage and help you to accept yourself and your body at the weight you are, and forge self-esteem. This isn’t one of those, either—in fact, it starts by assuming you already have that.
There are fair arguments for body neutrality, and fat acceptance. Very worthy also is the constant fight for bodily sovereignty.
These are worthy causes, but they’re for the most-part not what our author concerns herself with here. Instead, she cares for a different and very practical goal: fat justice.
In a world where you may be turned away from medical treatment if you are over a certain size, told to lose half your bodyweight before you can have something you need, she demands better. The battle extends further than healthcare though, and indeed to all areas of life.
Ultimately, she argues, any society that will disregard the needs of the few because they’re a marginal demographic, is a society that will absolutely fail you if you ever differ from the norm in some way.
All in all, an important (and for many, perhaps eye-opening) book to read if you are fat, care about fat people, are a person of any size, or care about people in general.
Pick Up Your Copy of “What We Don’t Talk About When We Talk About Fat”, on Amazon Today!
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How To Build a Body That Lasts – by Adam Richardson
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This book is written on a premise, and that premise is: “your age doesn’t define your mobility; your mobility defines your age”.
To this end, we are treated to 328 pages of why and how to improve our mobility (mostly how; just enough on the “why” to keep the motivation flowing).
Importantly, Richardson doesn’t expect that every reader is a regular gym-bunny or about to become one, doesn’t expect you to have several times your bodyweight in iron to life at home, and doesn’t expect that you’ll be doing the vertical splits against a wall any time soon.
Rather, he expects that we’d like to not dislocate a shoulder while putting the groceries away, would like to not slip a disk while being greeted by the neighbor’s dog, and would like to not need a 7-step plan for putting our socks on.
What follows is a guide to “on the good end of normal” mobility that is sustainable for life. The idea is that you might not be winning Olympic gymnastics gold medals in your 90s, but you will be able to get in and out of a car door as comfortably as you did when you were 20, for example.
Bottom line: if you want to be a superathlete, then you might need something more than this book; if you want to be on the healthy end of average when it comes to mobility, and maintain that for the rest of your life, then this is the book for you.
Click here to check out How To Build A Body That Lasts, and build a body that lasts!
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Tooth Remineralization: How To Heal Your Teeth Naturally
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Dr. Michelle Jorgensen, dentist, explains:
The bare-bones details:
Teeth cannot be regrown (yet!) but can be remineralized, which simply involves restoring lost minerals. When we’re talking about health, “minerals” is usually used to mean elemental minerals, like calcium, magnesium, phosphorus, etc, but the specific mineral that’s needed here is hydroxyapatite (a calcium phosphate mineral, the same as is found in bones).
Not only can acids from food and bacteria dissolve the minerals from the teeth, but also, the body itself may extract minerals from the teeth if it needs them for other functions it considers more critical and/or more urgent.
Cavities occur when acids create porous holes in teeth by dissolving minerals, which allows bacteria to invade, which means more acid, and cavities.
Remineralization can be achieved by doing the following things:
- Use hydroxyapatite-based products (tooth powder, mouthwash).
- Improve gut health to ensure proper mineral absorption.
- Reduce acidic food and drink intake.
- Maintain good oral hygiene to prevent bacteria build-up.
- Eat foods rich in vitamins A, D, E, and K, which help direct minerals to teeth and bones.
For more on all of the above, enjoy:
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Want to learn more?
You might also like to read:
- Less Common Oral Hygiene Options
- Fluoride Toothpaste vs Non-Fluoride Toothpaste – Which is Healthier?
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AI: The Doctor That Never Tires?
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AI: The Doctor That Never Tires?
We asked you for your opinion on the use of Artificial Intelligence (AI) in healthcare, and got the above-depicted, below-described set of results:
- A little over half of respondents to the poll voted for “It speeds up research, and is more methodical about diagnosis, so it’s at least a good extra tool”
- A quarter of respondents voted for “I’m on the fence—it seems to make no more nor less mistakes than human doctors do”
- A little under a fifth of respondents voted for “AI is less prone to fatigue/bias than human doctors, making it an essential new tech”
- Three respondents voted for “AI is a step too far in medical technology, and we’re not ready for it”
Writer’s note: I’m a professional writer (you’d never have guessed, right?) and, apparently, I really did write “no more nor less mistakes”, despite the correct grammar being “no more nor fewer mistakes”. Now, I know this, and in fact, people getting less/fewer wrong is a pet hate of mine. Nevertheless, I erred.
Yet, now that I’m writing this out in my usual software, and not directly into the poll-generation software, my (AI!) grammar/style-checker is highlighting the error for me.
Now, an AI could not do my job. ChatGPT would try, and fail miserably. But can technology help me do mine better? Absolutely!
And still, I dismiss a lot of the AI’s suggestions, because I know my field and can make informed choices. I don’t follow it blindly, and I think that’s key.
AI is less prone to fatigue/bias than human doctors, making it an essential new tech: True or False?
True—with one caveat.
First, a quick anecdote from a subscriber who selected this option in the poll:
❝As long as it receives the same data inputs as my doctor (ie my entire medical history), I can see it providing a much more personalised service than my human doctor who is always forgetting what I have told him. I’m also concerned that my doctor may be depressed – not an ailment that ought to affect AI! I recently asked my newly qualified doctor goddaughter whether she would prefer to be treated by a human or AI doctor. No contest, she said – she’d go with AI. Her argument was that human doctors leap to conclusions, rather than properly weighing all the evidence – meaning AI, as long as it receives the same inputs, will be much more reliable❞
Now, an anecdote is not data, so what does the science say?
Well… It says the same:
❝Of 6695 responding physicians in active practice, 6586 provided information on the areas of interest: 3574 (54.3%) reported symptoms of burnout, 2163 (32.8%) reported excessive fatigue, and 427 (6.5%) reported recent suicidal ideation, with 255 of 6563 (3.9%) reporting a poor or failing patient safety grade in their primary work area and 691 of 6586 (10.5%) reporting a major medical error in the prior 3 months. Physicians reporting errors were more likely to have symptoms of burnout (77.6% vs 51.5%; P<.001), fatigue (46.6% vs 31.2%; P<.001), and recent suicidal ideation (12.7% vs 5.8%; P<.001).❞
See the damning report for yourself: Physician Burnout, Well-being, and Work Unit Safety Grades in Relationship to Reported Medical Errors
AI, of course, does not suffer from burnout, fatigue, or suicidal ideation.
So, what was the caveat?
The caveat is about bias. Humans are biased, and that goes for medical practitioners just the same. AI’s machine learning is based on source data, and the source data comes from humans, who are biased.
See: Bias and Discrimination in AI: A Cross-Disciplinary Perspective
So, AI can perpetuate human biases and doesn’t have a special extra strength in this regard.
The lack of burnout, fatigue, and suicidal ideation, however, make a big difference.
AI speeds up research, and is more methodical about diagnosis: True or False?
True! AI is getting more and more efficient at this, and as has been pointed out, doesn’t make errors due to fatigue, and often comes to accurate conclusions near-instantaneously. To give just one example:
❝Deep learning algorithms achieved better diagnostic performance than a panel of 11 pathologists participating in a simulation exercise designed to mimic routine pathology workflow; algorithm performance was comparable with an expert pathologist interpreting whole-slide images without time constraints. The area under the curve was 0.994 (best algorithm) vs 0.884 (best pathologist).❞
About that “getting more and more efficient at this”; it’s in the nature of machine learning that every new piece of data improves the neural net being used. So long as it is getting fed new data, which it can process at rate far exceeding humans’ abilities, it will always be constantly improving.
AI makes no more nor
lessfewer mistakes than humans do: True or False?False! AI makes fewer, now. This study is from 2021, and it’s only improved since then:
❝Professionals only came to the same conclusions [as each other] approximately 75 per cent of the time. More importantly, machine learning produced fewer decision-making errors than did all the professionals❞
See: AI can make better clinical decisions than humans: study
All that said, we’re not quite at Star Trek levels of “AI can do a human’s job entirely” just yet:
BMJ | Artificial intelligence versus clinicians: pros and cons
To summarize: medical AI is a powerful tool that:
- Makes healthcare more accessible
- Speeds up diagnosis
- Reduces human error
…and yet, for now at least, still requires human oversights, checks and balances.
Essentially: it’s not really about humans vs machines at all. It’s about humans and machines giving each other information, and catching any mistakes made by the other. That way, humans can make more informed decisions, and still keep a “hand on the wheel”.
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Bird flu has been detected in a pig in the US. Why does that matter?
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The United States Department of Agriculture last week reported that a pig on a backyard farm in Oregon was infected with bird flu.
As the bird flu situation has evolved, we’ve heard about the A/H5N1 strain of the virus infecting a range of animals, including a variety of birds, wild animals and dairy cattle.
Fortunately, we haven’t seen any sustained spread between humans at this stage. But the detection of the virus in a pig marks a worrying development in the trajectory of this virus.
David MG/Shutterstock How did we get here?
The most concerning type of bird flu currently circulating is clade 2.3.4.4b of A/H5N1, a strain of influenza A.
Since 2020, A/H5N1 2.3.4.4b has spread to a vast range of birds, wild animals and farm animals that have never been infected with bird flu before.
While Europe is a hotspot for A/H5N1, attention is currently focused on the US. Dairy cattle were infected for the first time in 2024, with more than 400 herds affected across at least 14 US states.
Bird flu has enormous impacts on farming and commercial food production, because infected poultry flocks have to be culled, and infected cows can result in contaminated diary products. That said, pasteurisation should make milk safe to drink.
While farmers have suffered major losses due to H5N1 bird flu, it also has the potential to mutate to cause a human pandemic.
Birds and humans have different types of receptors in their respiratory tract that flu viruses attach to, like a lock (receptors) and key (virus). The attachment of the virus allows it to invade a cell and the body and cause illness. Avian flu viruses are adapted to birds, and spread easily among birds, but not in humans.
So far, human cases have mainly occurred in people who have been in close contact with infected farm animals or birds. In the US, most have been farm workers.
The concern is that the virus will mutate and adapt to humans. One of the key steps for this to happen would be a shift in the virus’ affinity from the bird receptors to those found in the human respiratory tract. In other words, if the virus’ “key” mutated to better fit with the human “lock”.
A recent study of a sample of A/H5N1 2.3.4.4b from an infected human had worrying findings, identifying mutations in the virus with the potential to increase transmission between human hosts.
Why are pigs a problem?
A human pandemic strain of influenza can arise in several ways. One involves close contact between humans and animals infected with their own specific flu viruses, creating opportunities for genetic mixing between avian and human viruses.
Pigs are the ideal genetic mixing vessel to generate a human pandemic influenza strain, because they have receptors in their respiratory tracts which both avian and human flu viruses can bind to.
This means pigs can be infected with a bird flu virus and a human flu virus at the same time. These viruses can exchange genetic material to mutate and become easily transmissible in humans.
The Conversation, CC BY-SA Interestingly, in the past pigs were less susceptible to A/H5N1 viruses. However, the virus has recently mutated to infect pigs more readily.
In the recent case in Oregon, A/H5N1 was detected in a pig on a non-commercial farm after an outbreak occurred among the poultry housed on the same farm. This strain of A/H5N1 was from wild birds, not the one that is widespread in US dairy cows.
The infection of a pig is a warning. If the virus enters commercial piggeries, it would create a far greater level of risk of a pandemic, especially as the US goes into winter, when human seasonal flu starts to rise.
How can we mitigate the risk?
Surveillance is key to early detection of a possible pandemic. This includes comprehensive testing and reporting of infections in birds and animals, alongside financial compensation and support measures for farmers to encourage timely reporting.
Strengthening global influenza surveillance is crucial, as unusual spikes in pneumonia and severe respiratory illnesses could signal a human pandemic. Our EPIWATCH system looks for early warnings of such activity, which can speed up vaccine development.
If a cluster of human cases occurs, and influenza A is detected, further testing (called subtyping) is essential to ascertain whether it’s a seasonal strain, an avian strain from a spillover event, or a novel pandemic strain.
Early identification can prevent a pandemic. Any delay in identifying an emerging pandemic strain enables the virus to spread widely across international borders.
Australia’s first human case of A/H5N1 occurred in a child who acquired the infection while travelling in India, and was hospitalised with illness in March 2024. At the time, testing revealed Influenza A (which could be seasonal flu or avian flu), but subtyping to identify A/H5N1 was delayed.
This kind of delay can be costly if a human-transmissible A/H5N1 arises and is assumed to be seasonal flu because the test is positive for influenza A. Only about 5% of tests positive for influenza A are subtyped further in Australia and most countries.
In light of the current situation, there should be a low threshold for subtyping influenza A strains in humans. Rapid tests which can distinguish between seasonal and H5 influenza A are emerging, and should form part of governments’ pandemic preparedness.
A higher risk than ever before
The US Centers for Disease Control and Prevention states that the current risk posed by H5N1 to the general public remains low.
But with H5N1 now able to infect pigs, and showing worrying mutations for human adaptation, the level of risk has increased. Given the virus is so widespread in animals and birds, the statistical probability of a pandemic arising is higher than ever before.
The good news is, we are better prepared for an influenza pandemic than other pandemics, because vaccines can be made in the same way as seasonal flu vaccines. As soon as the genome of a pandemic influenza virus is known, the vaccines can be updated to match it.
Partially matched vaccines are already available, and some countries such as Finland are vaccinating high-risk farm workers.
C Raina MacIntyre, Professor of Global Biosecurity, NHMRC L3 Research Fellow, Head, Biosecurity Program, Kirby Institute, UNSW Sydney and Haley Stone, Research Associate, Biosecurity Program, Kirby Institute & CRUISE lab, Computer Science and Engineering, UNSW Sydney
This article is republished from The Conversation under a Creative Commons license. Read the original article.
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6 Kinds Of Drinks That Hasten Dementia
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Dr. William Li, most well-known for his diabetes expertise (remember that there are clear associations between diabetes and dementia), discusses drinks you might want to skip:
Here’s to your good health
The 6 kinds of drink are:
- Alcohol which is bad for pretty much everything and this is no exception. Can cause a deficiency of thiamine, brain-shrinking, neuroinflammation, oxidative stress, and resultant neuron damage.
- Soda / diet soda, the former of which is bad for the diabetes-dementia connection, and the latter of which is also usually (depends on the sweetener) harmful to the gut and thus the gut-brain connection.
- Fruit juices, especially if processed, as the high sugar and zero or nearly-zero fiber can lead to insulin resistance, affecting the brain’s energy processing. In particular, fruit juice drinks sweetened with high-fructose corn syrup (HFCS) can accumulated as fat in the brain (due to how the body processes fructose in the absence of fiber to slow it down), impacting cognition.
- Energy drinks, being basically the same as soda / diet soda, just now with added caffeine too.
- [Caffeinated] late-night coffee, can (shocking nobody) disrupt sleep, and chronic sleep deprivation contributes to the build-up of harmful brain plaques.
- Sports drinks, which (unless you’re super-sure about everything on the label; there are some good sports drinks out there) often contain HFCS in the US, along with various other additives that may not always be great for you. Also, the sodium content of electrolyte drinks are fine if you genuinely are actively sweating it out, but otherwise, can lead to high blood pressure, which is itself a dementia risk factor.
Better options include:
- decaffeinated coffee (or coffee enjoyed in the early afternoon)
- green tea
- turmeric-based drinks
Dr. Li mentions turmeric milk drinks, but unfermented dairy is generally inflammatory, so better to make it kefir (fermented milk drink) or plant-based. Or just have a turmeric tea; that works too.
Dr. Li also mentions berry smoothies, which are not nearly as bad as fruit juice, but still not as good as eating whole berries.
For more on all of this, enjoy:
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You might also like to read:
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