What’s Your Plant Diversity Score?
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We speak often about the importance of dietary diversity, and of that, especially diversity of plants in one’s diet, but we’ve never really focused on it as a main feature, so that’s what we’re going to do today.
Specifically, you may have heard the advice to “eat 30 different kinds of plants per week”. But where does that come from, and is it just a number out of a hat?
The magic number?
It is not, in fact, a number out of a hat. It’s from a big (n=11,336) study into what things affect the gut microbiome for better or for worse. It was an observational population study, championing “citizen science” in which volunteers tracked various things and collected and sent in various samples for analysis.
The most significant finding of this study was that those who consumed more than 30 different kinds of plants per week, had a much better gut microbiome than those who consumed fewer than 10 different kinds of plants per week (there is a bell curve at play, and it gets steep around 10 and 30):
American Gut: an Open Platform for Citizen Science Microbiome Research
Why do I care about having a good gut microbiome?
Gut health affects almost every other kind of health; it’s been called “the second brain” for the various neurotransmitters and other hormones it directly makes or indirectly regulates (which in turn affect every part of your body), and of course there is the vagus nerve connecting it directly to the brain, impacting everything from food cravings to mood swings to sleep habits.
See also:
Any other benefits?
Yes there are! Let’s not forget: as we see often in our “This or That” section, different foods can be strong or weak in different areas of nutrition, so unless we want to whip out a calculator and database every time we make food choices, a good way to cover everything is to simply eat a diverse diet.
And that goes not just for vitamins and minerals (which would be true of animal products also), but in the case of plants, a wide range of health-giving phytochemicals too:
Measuring Dietary Botanical Diversity as a Proxy for Phytochemical Exposure
Ok, I’m sold, but 30 is a lot!
It is, but you don’t have to do all 30 in your first week of focusing on this, if you’re not already accustomed to such diversity. You can add in one or two new ones each time you go shopping, and build it up.
As for “what counts”: we’re counting unprocessed or minimally-processed plants. So for example, an apple is an apple, as are dried apple slices, as is apple sauce. Any or all of those would count as 1 plant type.
Note also that we’re counting types, not totals. If you’re having apple slices with apple sauce, for some reason? That still only counts as 1.
However, while apple sauce still counts as apples (minimally processed), you cannot eat a cake and say “that’s 2 because there was wheat and sugar cane somewhere in its dim and distant history”.
Nor is your morning espresso a fruit (by virtue of coffee beans being the fruit of the plant, botanically speaking). However, it would count as 1 plant type if you eat actual coffee beans—this writer has been known to snack on such; they’re only healthy in very small portions though, because their saturated fat content is a little high.
You, however, count grains in general, as well as nuts and seeds, not just fruits and vegetables. As for herbs and spices, they count for ¼ each, except for salt, which might get lumped in with spices but is of course not a plant.
How to do it
There’s a reason we’re doing this in our Saturday Life Hacks edition. Here are some tips for getting in far more plants than you might think, a lot more easily than you might think:
- Buy things ready-mixed. This means buying the frozen mixed veg, the frozen mixed chopped fruit, the mixed nuts, the mixed salad greens etc. This way, when you’re reaching for one pack of something, you’re getting 3–5 different plants instead of one.
- Buy things individually, and mix them for storage. This is a more customized version of the above, but in the case of things that keep for at least a while, it can make lazy options a lot more plentiful. Suddenly, instead of rice with your salad you’re having sorghum, millet, buckwheat, and quinoa. This trick also works great for dried berries that can just be tipped into one’s morning oatmeal. Or, you know, millet, oats, rye, and barley. Suddenly, instead of 1 or 2 plants for breakfast you have maybe 7 or 8.
- Keep a well-stocked pantry of shelf-stable items. This is good practice anyway, in case of another supply-lines shutdown like at the start of the COVID-19 pandemic. But for plant diversity, it means that if you’re making enchiladas, then instead using kidney beans because that’s what’s in the cupboard, you can raid your pantry for kidney beans, black beans, pinto beans, fava beans, etc etc. Yes, all of them; that’s a list, not a menu.
- Shop in the discount section of the supermarket. You don’t have shop exclusively there, but swing by that area, see what plants are available for next to nothing, and buy at least one of each. Figure out what to do with it later, but the point here is that it’s a good way to get suggestions of plants that you weren’t actively looking for—and novelty is invariably a step into diversity.
- Shop in a different store. You won’t be able to beeline the products you want on autopilot, so you’ll see other things on the way. Also, they may have things your usual store doesn’t.
- Shop in person, not online—at least as often as is practical. This is because when shopping for groceries online, the store will tend to prioritize showing you items you’ve bought before, or similar items to those (i.e. actually the same item, just a different brand). Not good for trying new things!
- Consider a meal kit delivery service. Because unlike online grocery shopping, this kind of delivery service will (usually) provide you with things you wouldn’t normally buy. Our sometimes-sponsor Purple Carrot is a fine option for this, but there are plenty of others too.
- Try new recipes, especially if they have plants you don’t normally use. Make a note of the recipe, and go out of your way to get the ingredients; if it seems like a chore, reframe it as a little adventure instead. Honestly, it’s things like this that keep us young in more ways than just what polyphenols can do!
- Hide the plants. Whether or not you like them; hide them just because it works in culinary terms. By this we mean; blend beans into that meaty sauce; thicken the soup with red lentils, blend cauliflower into the gravy. And so on.
One more “magic 30”, while we’re at it…
30g fiber per day makes a big (positive) difference to many aspects of health. Obviously, plants are where that comes from, so there’s a big degree of overlap here, but most of the tips we gave are different, so for double the effectiveness, check out:
Level-Up Your Fiber Intake! (Without Difficulty Or Discomfort)
Enjoy!
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Getting Things Done – by David Allen
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Our “to-do” lists are usually hopelessly tangled:
“To do thing x needs thing y doing first but that can only be done with information that I must get by doing thing z”, and so on.
Suddenly that two-minute task is looking like half an hour, which is making our overall to-do list look gargantuan. Tackling tiny parts of tasks seems useless; tackling large tasks seems overwhelming. What a headache!
Getting Things Done (“GTD”, to its friends) shows us how to gather all our to-dos, and then use the quickest ways to break down a task (in reality, often a mini-project) into its constituent parts and which things can be done next, and what order to do them in (or defer, or delegate, or ditch).
In a nutshell: The GTD system aims to make all your tasks comprehensible and manageable, for stress-free productivity. No need to strategize everything every time; you have a system now, and always know where to begin.
And by popular accounts, it delivers—many put this book in the “life-changing” category.
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California Becomes Latest State To Try Capping Health Care Spending
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California’s Office of Health Care Affordability faces a herculean task in its plan to slow runaway health care spending.
The goal of the agency, established in 2022, is to make care more affordable and accessible while improving health outcomes, especially for the most disadvantaged state residents. That will require a sustained wrestling match with a sprawling, often dysfunctional health system and powerful industry players who have lots of experience fighting one another and the state.
Can the new agency get insurers, hospitals, and medical groups to collaborate on containing costs even as they jockey for position in the state’s $405 billion health care economy? Can the system be transformed so that financial rewards are tied more to providing quality care than to charging, often exorbitantly, for a seemingly limitless number of services and procedures?
The jury is out, and it could be for many years.
California is the ninth state — after Connecticut, Delaware, Massachusetts, Nevada, New Jersey, Oregon, Rhode Island, and Washington — to set annual health spending targets.
Massachusetts, which started annual spending targets in 2013, was the first state to do so. It’s the only one old enough to have a substantial pre-pandemic track record, and its results are mixed: The annual health spending increases were below the target in three of the first five years and dropped beneath the national average. But more recently, health spending has greatly increased.
In 2022, growth in health care expenditures exceeded Massachusetts’ target by a wide margin. The Health Policy Commission, the state agency established to oversee the spending control efforts, warned that “there are many alarming trends which, if unaddressed, will result in a health care system that is unaffordable.”
Neighboring Rhode Island, despite a preexisting policy of limiting hospital price increases, exceeded its overall health care spending growth target in 2019, the year it took effect. In 2020 and 2021, spending was largely skewed by the pandemic. In 2022, the spending increase came in at half the state’s target rate. Connecticut and Delaware, by contrast, both overshot their 2022 targets.
It’s all a work in progress, and California’s agency will, to some extent, be playing it by ear in the face of state policies and demographic realities that require more spending on health care.
And it will inevitably face pushback from the industry as it confronts unreasonably high prices, unnecessary medical treatments, overuse of high-cost care, administrative waste, and the inflationary concentration of a growing number of hospitals in a small number of hands.
“If you’re telling an industry we need to slow down spending growth, you’re telling them we need to slow down your revenue growth,” says Michael Bailit, president of Bailit Health, a Massachusetts-based consulting group, who has consulted for various states, including California. “And maybe that’s going to be heard as ‘we have to restrain your margins.’ These are very difficult conversations.”
Some of California’s most significant health care sectors have voiced disagreement with the fledgling affordability agency, even as they avoid overtly opposing its goals.
In April, when the affordability office was considering an annual per capita spending growth target of 3%, the California Hospital Association sent it a letter saying hospitals “stand ready to work with” the agency. But the proposed number was far too low, the association argued, because it failed to account for California’s aging population, new investments in Medi-Cal, and other cost pressures.
The hospital group suggested a spending increase target averaging 5.3% over five years, 2025-29. That’s slightly higher than the 5.2% average annual increase in per capita health spending over the five years from 2015 to 2020.
Five days after the hospital association sent its letter, the affordability board approved a slightly less aggressive target that starts at 3.5% in 2025 and drops to 3% by 2029. Carmela Coyle, the association’s chief executive, said in a statement that the board’s decision still failed to account for an aging population, the growing need for mental health and addiction treatment, and a labor shortage.
The California Medical Association, which represents the state’s doctors, expressed similar concerns. The new phased-in target, it said, was “less unreasonable” than the original plan, but the group would “continue to advocate against an artificially low spending target that will have real-life negative impacts on patient access and quality of care.”
But let’s give the state some credit here. The mission on which it is embarking is very ambitious, and it’s hard to argue with the motivation behind it: to interject some financial reason and provide relief for millions of Californians who forgo needed medical care or nix other important household expenses to afford it.
Sushmita Morris, a 38-year-old Pasadena resident, was shocked by a bill she received for an outpatient procedure last July at the University of Southern California’s Keck Hospital, following a miscarriage. The procedure lasted all of 30 minutes, Morris says, and when she received a bill from the doctor for slightly over $700, she paid it. But then a bill from the hospital arrived, totaling nearly $9,000, and her share was over $4,600.
Morris called the Keck billing office multiple times asking for an itemization of the charges but got nowhere. “I got a robotic answer, ‘You have a high-deductible plan,’” she says. “But I should still receive a bill within reason for what was done.” She has refused to pay that bill and expects to hear soon from a collection agency.
The road to more affordable health care will be long and chock-full of big challenges and unforeseen events that could alter the landscape and require considerable flexibility.
Some flexibility is built in. For one thing, the state cap on spending increases may not apply to health care institutions, industry segments, or geographic regions that can show their circumstances justify higher spending — for example, older, sicker patients or sharp increases in the cost of labor.
For those that exceed the limit without such justification, the first step will be a performance improvement plan. If that doesn’t work, at some point — yet to be determined — the affordability office can levy financial penalties up to the full amount by which an organization exceeds the target. But that is unlikely to happen until at least 2030, given the time lag of data collection, followed by conversations with those who exceed the target, and potential improvement plans.
In California, officials, consumer advocates, and health care experts say engagement among all the players, informed by robust and institution-specific data on cost trends, will yield greater transparency and, ultimately, accountability.
Richard Kronick, a public health professor at the University of California-San Diego and a member of the affordability board, notes there is scant public data about cost trends at specific health care institutions. However, “we will know that in the future,” he says, “and I think that knowing it and having that information in the public will put some pressure on those organizations.”
This article was produced by KFF Health News, which publishes California Healthline, an editorially independent service of the California Health Care Foundation.
KFF Health News is a national newsroom that produces in-depth journalism about health issues and is one of the core operating programs at KFF—an independent source of health policy research, polling, and journalism. Learn more about KFF.
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Putting a Halt to Feeling Lost, Anxious, Stressed & Unhappy
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Starting From the Middle
Today’s video (below) dives straight into the heart of the issue, examining the victim mindset, with Dr. Gabor Maté immediately, and quite vulnerably, sharing his personal experiences conquering feelings of despair and anxiety.
As one of the comments on the video says, Dr. Maté is a “person who teaches about something because they experience it themselves”. And it shows through his approach.
With raw honesty, Dr. Maté empathizes with those grappling with inner turmoil, offering hope by emphasizing the power of healing in the present moment.
What is His Method?
Explained simply, Dr. Maté urges individuals to seek trauma-informed care and therapies that address underlying wounds; he emphasizes the pitfalls of relying solely on medication, and instead highlights the idea that triggers can be seen as opportunities for self-reflection and growth. He urges individuals to approach their triggers with compassionate curiosity rather than self-judgment.
In short, Dr Maté’s empathetic approach immediately calms the viewer, whilst providing knowledge crucial to self-improvement.
Let this video act as a reminder that we should take our mental health as seriously as our general health.
How was the video? If you’ve discovered any great videos yourself that you’d like to share with fellow 10almonds readers, then please do email them to us!
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Do You Believe In Magic? – by Dr. Paul Offit
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Here at 10almonds, we like to examine and present the science wherever it leads, so this book was an interesting read.
Dr. Offit, himself a much-decorated vaccine research scientist, and longtime enemy of the anti-vax crowd, takes aim at alternative therapies in general, looking at what does work (and how), and what doesn’t (and what harm it can cause).
The style of the book is largely polemic in tone, but there’s lots of well-qualified information and stats in here too. And certainly, if there are alternative therapies you’ve left unquestioned, this book will probably prompt questions, at the very least.
And science, of course, is about asking questions, and shouldn’t be afraid of such! Open-minded skepticism is a key starting point, while being unafraid to actually reach a conclusion of “this is probably [not] so”, when and if that’s where the evidence brings us. Then, question again when and if new evidence comes along.
To that end, Dr. Offit does an enthusiastic job of looking for answers, and presenting what he finds.
If the book has downsides, they are primarily twofold:
- He is a little quick to dismiss the benefits of a good healthy diet, supplemented or otherwise.
- His keenness here seems to step from a desire to ensure people don’t skip life-saving medical treatments in the hope that their diet will cure their cancer (or liver disease, or be it what it may), but in doing so, he throws out a lot of actually good science.
- He—strangely—lumps menopausal HRT in with alternative therapies, and does the exact same kind of anti-science scaremongering that he rails against in the rest of the book.
- In his defence, this book was published ten years ago, and he may have been influenced by a stack of headlines at the time, and a popular celebrity endorsement of HRT, which likely put him off it.
Bottom line: there’s something here to annoy everyone—which makes for stimulating reading.
Click here to check out Do You Believe In Magic, and expand your knowledge!
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- He is a little quick to dismiss the benefits of a good healthy diet, supplemented or otherwise.
How Science News Outlets Can Lie To You (Yes, Even If They Cite Studies!)
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Each Monday, we’re going to be bringing you cutting-edge research reviews to not only make your health and productivity crazy simple, but also, constantly up-to-date.
But today, in this special edition, we want to lay out plain and simple how to see through a lot of the tricks used not just by popular news outlets, but even sometimes the research publications themselves.
That way, when we give you health-related science news, you won’t have to take our word for it, because you’ll be able to see whether the studies we cite really support the claims we make.
Of course, we’ll always give you the best, most honest information we have… But the point is that you shouldn’t have to trust us! So, buckle in for today’s special edition, and never have to blindly believe sci-hub (or Snopes!) again.
The above now-famous Tumblr post that became a meme is a popular and obvious example of how statistics can be misleading, either by error or by deliberate spin.
But what sort of mistakes and misrepresentations are we most likely to find in real research?
Spin Bias
Perhaps most common in popular media reporting of science, the Spin Bias hinges on the fact that most people perceive numbers in a very “fuzzy logic” sort of way. Do you?
Try this:
- A million seconds is 11.5 days
- A billion seconds is not weeks, but 13.2 months!
…just kidding, it’s actually nearly thirty-two years.
Did the months figure seem reasonable to you, though? If so, this is the same kind of “human brains don’t do large numbers” problem that occurs when looking at statistics.
Let’s have a look at reporting on statistically unlikely side effects for vaccines, as an example:
- “966 people in the US died after receiving this vaccine!” (So many! So risky!)
- “Fewer than 3 people per million died after receiving this vaccine!” (Hmm, I wonder if it is worth it?)
- “Half of unvaccinated people with this disease die of it” (Oh)
How to check for this: ask yourself “is what’s being described as very common really very common?”. To keep with the spiders theme, there are many (usually outright made-up) stats thrown around on social media about how near the nearest spider is at any given time. Apply this kind of thinking to medical conditions.. If something affects only 1% of the population (So few! What a tiny number!), how far would you have to go to find someone with that condition? The end of your street, perhaps?
Selection/Sampling Bias
Diabetes disproportionately affects black people, but diabetes research disproportionately focuses on white people with diabetes. There are many possible reasons for this, the most obvious being systemic/institutional racism. For example, advertisements for clinical trial volunteer opportunities might appear more frequently amongst a convenient, nearby, mostly-white student body. The selection bias, therefore, made the study much less reliable.
Alternatively: a researcher is conducting a study on depression, and advertises for research subjects. He struggles to get a large enough sample size, because depressed people are less likely to respond, but eventually gets enough. Little does he know, even the most depressed of his subjects are relatively happy and healthy compared with the silent majority of depressed people who didn’t respond.
See This And Many More Educational Cartoons At Sketchplanations.com!
How to check for this: Does the “method” section of the scientific article describe how they took pains to make sure their sample was representative of the relevant population, and how did they decide what the relevant population was?
Publication Bias
Scientific publications will tend to prioritise statistical significance. Which seems great, right? We want statistically significant studies… don’t we?
We do, but: usually, in science, we consider something “statistically significant” when it hits the magical marker of p=0.05 (in other words, the probability of getting that result is 1/20, and the results are reliably coming back on the right side of that marker).
However, this can result in the clinic stopping testing once p=0.05 is reached, because they want to have their paper published. (“Yay, we’ve reached out magical marker and now our paper will be published”)
So, you can think of publication bias as the tendency for researchers to publish ‘positive’ results.
If it weren’t for publication bias, we would have a lot more studies that say “we tested this, and here are our results, which didn’t help answer our question at all”—which would be bad for the publication, but good for science, because data is data.
To put it in non-numerical terms: this is the same misrepresentation as the technically true phrase “when I misplace something, it’s always in the last place I look for it”—obviously it is, because that’s when you stop looking.
There’s not a good way to check for this, but be sure to check out sample sizes and see that they’re reassuringly large.
Reporting/Detection/Survivorship Bias
There’s a famous example of the rise in “popularity” of left-handedness. Whilst Americans born in ~1910 had a bit under a 3.5% chance of being left handed, those born in ~1950 had a bit under a 12% change.
Why did left-handedness become so much more prevalent all of a sudden, and then plateau at 12%?
Simple, that’s when schools stopped forcing left-handed children to use their right hands instead.
In a similar fashion, countries have generally found that homosexuality became a lot more common once decriminalized. Of course the real incidence almost certainly did not change—it just became more visible to research.
So, these biases are caused when the method of data collection and/or measurement leads to a systematic error in results.
How to check for this: you’ll need to think this through logically, on a case by case basis. Is there a reason that we might not be seeing or hearing from a certain demographic?
And perhaps most common of all…
Confounding Bias
This is the bias that relates to the well-known idea “correlation ≠ causation”.
Everyone has heard the funny examples, such as “ice cream sales cause shark attacks” (in reality, both are more likely to happen in similar places and times; when many people are at the beach, for instance).
How can any research paper possibly screw this one up?
Often they don’t and it’s a case of Spin Bias (see above), but examples that are not so obviously wrong “by common sense” often fly under the radar:
“Horse-riding found to be the sport that most extends longevity”
Should we all take up horse-riding to increase our lifespans? Probably not; the reality is that people who can afford horses can probably afford better than average healthcare, and lead easier, less stressful lives overall. The fact that people with horses typically have wealthier lifestyles than those without, is the confounding variable here.
See This And Many More Educational Cartoons on XKCD.com!
In short, when you look at the scientific research papers cited in the articles you read (you do look at the studies, yes?), watch out for these biases that found their way into the research, and you’ll be able to draw your own conclusions, with well-informed confidence, about what the study actually tells us.
Science shouldn’t be gatekept, and definitely shouldn’t be abused, so the more people who know about these things, the better!
So…would one of your friends benefit from this knowledge? Forward it to them!
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The Immunostimulant Superfood –
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First, what this book is not: a “detox cleanse” book of the kind that claims you can flush out the autism if you just eat enough celery.
What it rather is: an overview brain chemistry, gut microbiota, and the very many other bodily systems that interact with these “two brains”.
She also does some mythbusting of popular misconceptions (for example with regard to tryptophan), and explains with good science just what exactly such substances as gluten and casein can and can’t do.
The format is less of a textbook and more a multipart (i.e., chapter-by-chapter) lecture, in pop-science style though, making it very readable. There are a lot of practical advices too, and options to look up foods by effect, and what to eat for/against assorted mental states.
Bottom line: anyone who eats food is, effectively, drugging themselves in one fashion or another—so you might as well make a conscious choice about how to do so.
Click here to check out This Is Your Brain On Food, and choose what kind of day you have!
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