What Your Doctor May Not Tell You About Fibromyalgia – by Dr. R. Paul St Amand

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The core claim of the book is that guaifenesin, an over-the-counter expectorant (with a good safety profile) usually taken to treat a chesty cough, is absorbed from the gastrointestinal tract, and is rapidly metabolized and excreted into the urine—and on the way, it lowers uric acid levels, which is a big deal for fibromyalgia sufferers.

He goes on to explain how the guaifenesin, by a similar biochemical mechanism, additionally facilitates the removal of other excess secretions that are associated with fibromyalgia.

The science for all this is… Compelling and logical, while not being nearly so well-established yet as his confidence would have us believe.

In other words, he could be completely wrong, because adequate testing has not yet been done. However, he also could be right; scientific knowledge is, by the very reality of scientific method, always a step behind hypothesis and theory (in that order).

Meanwhile, there are certainly many glowing testimonials from fibromyalgia sufferers, saying that this helped a lot.

Bottom line: if you have fibromyalgia and do not mind trying a relatively clinically untested (yet logical and anecdotally successful) protocol to lessen then symptoms (allegedly, to zero), then this book will guide you through that and tell you everything to watch out for.

Click here to check out What Your Doctor May Not Tell You About Fibromyalgia, and [check with your doctor/pharmacist and] try it out!

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  • Somatic Exercises For Nervous System Regulation – by Rose Kilian
  • Fat’s Real Barriers To Health
    Fat Justice Activist Aubrey Gordon tackles discrimination and systemic issues in healthcare for larger bodies with practical advice on demanding better treatment.

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  • Statistical Models vs. Front-Line Workers: Who Knows Best How to Spend Opioid Settlement Cash?

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    MOBILE, Ala. — In this Gulf Coast city, addiction medicine doctor Stephen Loyd announced at a January event what he called “a game-changer” for state and local governments spending billions of dollars in opioid settlement funds.

    The money, which comes from companies accused of aggressively marketing and distributing prescription painkillers, is meant to tackle the addiction crisis.

    But “how do you know that the money you’re spending is going to get you the result that you need?” asked Loyd, who was once hooked on prescription opioids himself and has become a nationally known figure since Michael Keaton played a character partially based on him in the Hulu series “Dopesick.”

    Loyd provided an answer: Use statistical modeling and artificial intelligence to simulate the opioid crisis, predict which programs will save the most lives, and help local officials decide the best use of settlement dollars.

    Loyd serves as the unpaid co-chair of the Helios Alliance, a group that hosted the event and is seeking $1.5 million to create such a simulation for Alabama.

    The state is set to receive more than $500 million from opioid settlements over nearly two decades. It announced $8.5 million in grants to various community groups in early February.

    Loyd’s audience that gray January morning included big players in Mobile, many of whom have known one another since their school days: the speaker pro tempore of Alabama’s legislature, representatives from the city and the local sheriff’s office, leaders from the nearby Poarch Band of Creek Indians, and dozens of addiction treatment providers and advocates for preventing youth addiction.

    Many of them were excited by the proposal, saying this type of data and statistics-driven approach could reduce personal and political biases and ensure settlement dollars are directed efficiently over the next decade.

    But some advocates and treatment providers say they don’t need a simulation to tell them where the needs are. They see it daily, when they try — and often fail — to get people medications, housing, and other basic services. They worry allocating $1.5 million for Helios prioritizes Big Tech promises for future success while shortchanging the urgent needs of people on the front lines today.

    “Data does not save lives. Numbers on a computer do not save lives,” said Lisa Teggart, who is in recovery and runs two sober living homes in Mobile. “I’m a person in the trenches,” she said after attending the Helios event. “We don’t have a clean-needle program. We don’t have enough treatment. … And it’s like, when is the money going to get to them?”

    The debate over whether to invest in technology or boots on the ground is likely to reverberate widely, as the Helios Alliance is in discussions to build similar models for other states, including West Virginia and Tennessee, where Loyd lives and leads the Opioid Abatement Council.

    New Predictive Promise?

    The Helios Alliance comprises nine nonprofit and for-profit organizations, with missions ranging from addiction treatment and mathematical modeling to artificial intelligence and marketing. As of mid-February, the alliance had received $750,000 to build its model for Alabama.

    The largest chunk — $500,000 — came from the Poarch Band of Creek Indians, whose tribal council voted unanimously to spend most of its opioid settlement dollars to date on the Helios initiative. A state agency chipped in an additional $250,000. Ten Alabama cities and some private foundations are considering investing as well.

    Stephen McNair, director of external affairs for Mobile, said the city has an obligation to use its settlement funds “in a way that is going to do the most good.” He hopes Helios will indicate how to do that, “instead of simply guessing.”

    Rayford Etherton, a former attorney and consultant from Mobile who created the Helios Alliance, said he is confident his team can “predict the likely success or failure of programs before a dollar is spent.”

    The Helios website features a similarly bold tagline: “Going Beyond Results to Predict Them.”

    To do this, the alliance uses system dynamics, a mathematical modeling technique developed at the Massachusetts Institute of Technology in the 1950s. The Helios model takes in local and national data about addiction services and the drug supply. Then it simulates the effects different policies or spending decisions can have on overdose deaths and addiction rates. New data can be added regularly and new simulations run anytime. The alliance uses that information to produce reports and recommendations.

    Etherton said it can help officials compare the impact of various approaches and identify unintended consequences. For example, would it save more lives to invest in housing or treatment? Will increasing police seizures of fentanyl decrease the number of people using it or will people switch to different substances?

    And yet, Etherton cautioned, the model is “not a crystal ball.” Data is often incomplete, and the real world can throw curveballs.

    Another limitation is that while Helios can suggest general strategies that might be most fruitful, it typically can’t predict, for instance, which of two rehab centers will be more effective. That decision would ultimately come down to individuals in charge of awarding contracts.

    Mathematical Models vs. On-the-Ground Experts

    To some people, what Helios is proposing sounds similar to a cheaper approach that 39 states — including Alabama — already have in place: opioid settlement councils that provide insights on how to best use the money. These are groups of people with expertise ranging from addiction medicine and law enforcement to social services and personal experience using drugs.

    Even in places without formal councils, treatment providers and recovery advocates say they can perform a similar function. Half a dozen advocates in Mobile told KFF Health News the city’s top need is low-cost housing for people who want to stop using drugs.

    “I wonder how much the results” from the Helios model “are going to look like what people on the ground doing this work have been saying for years,” said Chance Shaw, director of prevention for AIDS Alabama South and a person in recovery from opioid use disorder.

    But Loyd, the co-chair of the Helios board, sees the simulation platform as augmenting the work of opioid settlement councils, like the one he leads in Tennessee.

    Members of his council have been trying to decide how much money to invest in prevention efforts versus treatment, “but we just kind of look at it, and we guessed,” he said — the way it’s been done for decades. “I want to know specifically where to put the money and what I can expect from outcomes.”

    Jagpreet Chhatwal, an expert in mathematical modeling who directs the Institute for Technology Assessment at Massachusetts General Hospital, said models can reduce the risk of individual biases and blind spots shaping decisions.

    If the inputs and assumptions used to build the model are transparent, there’s an opportunity to instill greater trust in the distribution of this money, said Chhatwal, who is not affiliated with Helios. Yet if the model is proprietary — as Helios’ marketing materials suggest its product will be — that could erode public trust, he said.

    Etherton, of the Helios Alliance, told KFF Health News, “Everything we do will be available publicly for anyone who wants to look at it.”

    Urgent Needs vs. Long-Term Goals

    Helios’ pitch sounds simple: a small upfront cost to ensure sound future decision-making. “Spend 5% so you get the biggest impact with the other 95%,” Etherton said.

    To some people working in treatment and recovery, however, the upfront cost represents not just dollars, but opportunities lost for immediate help, be it someone who couldn’t find an open bed or get a ride to the pharmacy.

    “The urgency of being able to address those individual needs is vital,” said Pamela Sagness, executive director of the North Dakota Behavioral Health Division.

    Her department recently awarded $7 million in opioid settlement funds to programs that provide mental health and addiction treatment, housing, and syringe service programs because that’s what residents have been demanding, she said. An additional $52 million in grant requests — including an application from the Helios Alliance — went unfunded.

    Back in Mobile, advocates say they see the need for investment in direct services daily. More than 1,000 people visit the office of the nonprofit People Engaged in Recovery each month for recovery meetings, social events, and help connecting to social services. Yet the facility can’t afford to stock naloxone, a medication that can rapidly reverse overdoses.

    At the two recovery homes that Mobile resident Teggart runs, people can live in a drug-free space at a low cost. She manages 18 beds but said there’s enough demand to fill 100.

    Hannah Seale felt lucky to land one of those spots after leaving Mobile County jail last November.

    “All I had with me was one bag of clothes and some laundry detergent and one pair of shoes,” Seale said.

    Since arriving, she’s gotten her driver’s license, applied for food stamps, and attended intensive treatment. In late January, she was working two jobs and reconnecting with her 4- and 7-year-old daughters.

    After 17 years of drug use, the recovery home “is the one that’s worked for me,” she said.

    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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  • Reinventing Your Life – by Dr. Jeffrey Young & Dr. Janet Klosko

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    This book is quite unlike any other broadly-CBT-focused books we’ve reviewed before. How so, you may wonder?

    Rather than focusing on automatic negative thoughts and cognitive distortions with a small-lens focus on an immediate problem, this one zooms out rather and tackles the cause rather than the symptom.

    The authors outline eleven “lifetraps” that we can get stuck in:

    1. Abandonment
    2. Mistrust & abuse
    3. Vulnerability
    4. Dependence
    5. Emptional deprivation
    6. Social exclusion
    7. Defectiveness
    8. Failure
    9. Subjugation
    10. Unrelenting standards
    11. Entitlement

    They then borrow from other areas of psychology, to examine where these things came from, and how they can be addressed, such that we can escape from them.

    The style of the book is very reader-friendly pop-psychology, with illustrative (and perhaps apocryphal, but no less useful for it if so) case studies.

    The authors then go on to give step-by-step instructions for dealing with each of the 11 lifetraps, per 6 unmet needs we probably had that got us into them, and per 3 likely ways we tried to cope with this using maladaptive coping mechanisms that got us into the lifetrap(s) we ended up in.

    Bottom line: if you feel there’s something in your life that’s difficult to escape from (we cannot outrun ourselves, after all, and bring our problems with us), this book could well contain the key that you need to get out of that cycle.

    Click here to check out “Reinventing Your Life” and break free from any lifetrap(s) of your own!

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  • Black Cohosh vs The Menopause

    10almonds is reader-supported. We may, at no cost to you, receive a portion of sales if you purchase a product through a link in this article.

    Black Cohosh, By Any Other Name…

    Black cohosh is a flowering plant whose extracts are popularly used to relieve menopausal (and postmenopausal) symptoms.

    Note on terms: we’ll use “black cohosh” in this article, but if you see the botanical names in studies, the reason it sometimes appears as Actaea racemosa and sometimes as Cimicfuga racemosa, is because it got changed and changed back on account of some disagreements between botanists. It’s the same plant, in any case!

    Read: Reclassification of Actaea to include Cimicifuga and Souliea (Ranunculaceae)

    Does it work?

    In few words: it works for physical symptoms, but not emotional ones, based on this large (n=2,310) meta-analysis of studies:

    ❝Black cohosh extracts were associated with significant improvements in overall menopausal symptoms (Hedges’ g = 0.575, 95% CI = 0.283 to 0.867, P < 0.001), as well as in hot flashes (Hedges’ g = 0.315, 95% CIs = 0.107 to 0.524, P = 0.003), and somatic symptoms (Hedges’ g = 0.418, 95% CI = 0.165 to 0.670, P = 0.001), compared with placebo.

    However, black cohosh did not significantly improve anxiety (Hedges’ g = 0.194, 95% CI = -0.296 to 0.684, P = 0.438) or depressive symptoms (Hedges’ g = 0.406, 95% CI = -0.121 to 0.932, P = 0.131)❞

    ~ Dr. Ryochi Sadahiro et al., 2023

    Source: Black cohosh extracts in women with menopausal symptoms: an updated pairwise meta-analysis

    Here’s an even larger (n=43,759) one that found similarly, and also noted on safety:

    ❝Treatment with iCR/iCR+HP was well tolerated with few minor adverse events, with a frequency comparable to placebo. The clinical data did not reveal any evidence of hepatotoxicity.

    Hormone levels remained unchanged and estrogen-sensitive tissues (e.g. breast, endometrium) were unaffected by iCR treatment.

    As benefits clearly outweigh risks, iCR/iCR+HP should be recommended as an evidence-based treatment option for natural climacteric symptoms.

    With its good safety profile in general and at estrogen-sensitive organs, iCR as a non-hormonal herbal therapy can also be used in patients with hormone-dependent diseases who suffer from iatrogenic climacteric symptoms.❞

    ~ Dr. Castelo-Branco et al., 2020

    Source: Review & meta-analysis: isopropanolic black cohosh extract iCR for menopausal symptoms – an update on the evidence

    (iCR = isopropanolic Cimicifuga racemosa)

    So, is this estrogenic or not?

    This is the question many scientists were asking, about 20 or so years ago. There are many papers from around 2000–2005, but here’s a good one that’s quite representative:

    ❝These new data dispute the estrogenic theory and demonstrate that extracts of black cohosh do not bind to the estrogen receptor in vitro, up-regulate estrogen-dependent genes, or stimulate the growth of estrogen-dependent tumors❞

    ~ Dr. Gail Mahady, 2003

    Source: Is Black Cohosh Estrogenic?

    (the abstract is a little vague, but if you click on the PDF icon, you can read the full paper, which is a lot clearer and more detailed)

    The short answer: no, black cohosh is not estrogenic

    Is it safe?

    As ever, check with your doctor as everyone’s situation can vary, but broadly speaking, yes, it has a very good safety profileincluding for breast cancer patients, at that. See for example:

    Where can I get some?

    We don’t sell it, but here for your convenience is an example product on Amazon

    Enjoy!

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Related Posts

  • Somatic Exercises For Nervous System Regulation – by Rose Kilian
  • The Orchid That Renovates Your Gut (Gently)

    10almonds is reader-supported. We may, at no cost to you, receive a portion of sales if you purchase a product through a link in this article.

    The Orchid That Renovates Your Gut (Gently)

    Dendrobium officinale is an orchid that’s made its way from Traditional Chinese Medicine into modern science.

    Read: Traditional Uses, Phytochemistry, Pharmacology, and Quality Control of Dendrobium officinale

    To summarize its benefits, we’ll quote from Dr. Paharia’s article featured in our “what’s happening in the health world” section all so recently:

    ❝Gut microbes process Dendriobium officinale polysaccharides (DOPs) in the colon, producing short-chain fatty acids (SCFAs) and oligosaccharides that alter gut microbial composition and improve human health.

    DOPs have been shown to decrease harmful bacteria like E. coli and Staphylococcus while promoting beneficial ones like Bifidobacterium.❞

    Source: The future of functional foods: leveraging Dendrobium officinale for optimal gut health and disease prevention

    We don’t stop at secondary sources, though, so we took a look at the science.

    Dr. Wu et al. found (we’ll quote directly for these bullet points):

    • DOPs have been shown to influence the gut microbiota, such as the abundance of Lactobacillus, Bifidobacterium, Akkermansia, Bacteroides, and Prevotella, and provide different benefits to the host due to structural differences.
    • The dietary intake of DOPs has been shown to improve the composition of the gut microbiome and offers new intervention strategies for metabolic diseases such as obesity and type 2 diabetes as well as inflammatory diseases such as chronic obstructive pulmonary disease and colitis.
    • Compared to drug therapy, intervention with DOPs is not specific and has a longer intervention duration

    Source: Structure, Health Benefits, Mechanisms, and Gut Microbiota of Dendrobium officinale Polysaccharides: A Review

    This is consistent with previous research on Dendrobium officinale, such as last year’s:

    ❝DOP significantly increased benign intestinal microbe proportion (Lactobacillus, etc.), but reduced harmful bacteria (Escherichia shigella) (P < 0.05), and significantly increased butyric acid production (P < 0.05)❞

    Source: Dendrobium officinale Xianhu 2 polysaccharide helps forming a healthy gut microbiota and improving host immune system

    In summary…

    Research so far indicates that this does a lot of good for the gut, in a way that can “kickstart” healthier, self-regulating gut microbiota.

    As to its further prospects, check out:

    Dendrobium as a new natural source of bioactive for the prevention and treatment of digestive tract diseases: a comprehensive review with future perspectives

    Very promising!

    Where can I get it?

    We don’t sell it, but for your convenience here’s an example product on Amazon

    Be warned, it is expensive though!

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  • How weight bias in health care can harm patients with obesity: Research

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    Patients who weigh more than what medical authorities generally consider healthy often avoid seeing doctors for fear of being judged, insulted or misdiagnosed, decades of research find. Meanwhile, academic studies consistently show many health care professionals discriminate against heavier patients and that weight bias can drive people with obesity to gain weight.

    Weight bias refers to negative attitudes, stereotypes and discrimination aimed at individuals with excess body fat. When scholars reviewed 41 studies about weight bias in health care, published from 1989 to 2021, they found it comes in many forms: contemptuous language, inappropriate gestures, expressing a preference for thinner patients, avoiding physical touch and eye contact, and attributing all of a person’s health issues to their weight.

    “Weight bias has been reported in physicians, nurses, dietitians, physiotherapists, and psychologists, as well as nutritionists and exercise professionals, and it is as pervasive among medical professionals as it is within the general population,” write the authors of the research review, published in 2021 in the journal Obesity.

    That’s a problem considering an estimated 4 out of 10 U.S. adults aged 20 years and older have obesity, a complex and often misunderstood illness that the American Medical Association voted in 2013 to recognize as a disease. By 2030, half of U.S. adults will have obesity, researchers project in a 2020 paper in the International Journal of Epidemiology.

    Worldwide, the obesity rate among adults aged 18 and older was 13% in 2016, according to the World Health Organization. If current trends continue, the World Obesity Federation projects that, by 2035, 51% of the global population will be living with overweight or obesity.

    The harms of weight bias

    Weight stigma — the societal devaluation of people perceived to be carrying excess weight — drives weight bias. It’s so physically and emotionally damaging that a panel of 36 international experts issued a consensus statement in 2020 to raise awareness about and condemn it. Dozens of medical and academic organizations, including 15 scholarly journals, endorsed the document, published in Nature Medicine.

    The release of a consensus statement is a significant event in research, considering it represents the collective position that experts in a particular field have taken on an issue, based on an analysis of all the available evidence.

    Research to date indicates heavier individuals who experience weight bias and stigma often:

    • Avoid doctors and other health care professionals, skipping routine screenings as well as needed treatments.
    • Change doctors frequently.
    • Are at a higher risk for depression, anxiety, mood disorders and other mental health problems.
    • Avoid or put off exercise.
    • Consume more food and calories.
    • Gain weight.
    • Have disrupted sleep.

    The consensus statement notes that educating health care providers, journalists, policymakers and others about obesity is key to changing the narrative around the disease.

    “Weight stigma is reinforced by misconceived ideas about body-weight regulation and lack of awareness of current scientific evidence,” write the experts, led by Francesco Rubino, the chair of metabolic and bariatric surgery at Kings College London.

    “Despite scientific evidence to the contrary, the prevailing view in society is that obesity is a choice that can be reversed by voluntary decisions to eat less and exercise more. These assumptions mislead public health policies, confuse messages in popular media, undermine access to evidence-based treatments, and compromise advances in research.”

    Weight bias and stigma appear to stimulate the secretion of the stress hormone cortisol and promote weight gain, researchers write in a 2016 paper published in Obesity.

    A. Janet Tomiyama, a psychology professor at UCLA who directs the university’s Dieting, Stress, and Health research lab, describes weight stigma as “a ‘vicious cycle’ — a positive feedback loop wherein weight stigma begets weight gain.”

    “This happens through increased eating behavior and increased cortisol secretion governed by behavioral, emotional, and physiological mechanisms, which are theorized to ultimately result in weight gain and difficulty of weight loss,” Tomiyama writes in her 2014 paper, “Weight Stigma is Stressful. A Review of Evidence for the Cyclic Obesity/Weight-Based Stigma Model.”

    The consensus statement spotlights 13 recommendations for eliminating weight bias and stigma, some of which are specifically aimed at health care providers, the media, researchers or policymakers. One of the recommendations for the health care community: “[Health care providers] specialized in treating obesity should provide evidence of stigma-free practice skills. Professional bodies should encourage, facilitate, and develop methods to certify knowledge of stigma and its effects, along with stigma-free skills and practices.”

    The one recommendation for the media: “We call on the media to produce fair, accurate, and non-stigmatizing portrayals of obesity. A commitment from the media is needed to shift the narrative around obesity.”

    Why obesity is a complicated disease

    It’s important to point out that having excess body fat does not, by itself, mean an individual is unhealthy, researchers explain in a 2017 article in The Conversation, which publishes research-based news articles and essays. But it is a major risk factor for cardiovascular disease, including stroke, as well as diabetes, some types of cancer, and musculoskeletal disorders such as osteoarthritis.

    Doctors often look at patients’ body mass index — a number that represents their weight in relation to their height — to gauge the amount of fat on their bodies. A BMI of 18.5 to 24.9 is ideal, according to the U.S. Centers for Disease Control and Prevention. A BMI of 25.0 to 29.9, indicates excess body fat, or “overweight,” while a BMI of 30 and above indicates obesity.

    In June, the American Medical Association announced a new policy clarifying how BMI can be used to diagnose obesity. Because it’s an imperfect measure for body fat, the organization suggests BMI be used in conjunction with other measures such as a patient’s waist circumference and skin fold thickness.

    Two specialists who have been working for years to dispel myths and misconceptions about obesity are Fatima Cody Stanford, an obesity physician and associate professor at Harvard Medical School, and Rebecca Puhl, the deputy director of the Rudd Center for Food Policy and Obesity at the University of Connecticut.

    Cody Stanford has called obesity “a brain disease” because the brain tells the body how much to eat and what to do with the food consumed. One pathway in the brain directs the body to eat less and store less fat, she explains in a February 2023 podcast produced by the American Medical Association.

    “For people that signal really great down this pathway, they tend to be very lean, not struggle with their weight in the same way that people that have excess weight do,” she says during the podcast, adding that people with obesity receive signals from an alternate pathway that “tells us to eat more and store more.”

    Academic studies demonstrate that a wide variety of factors can affect weight regulation, including sleep quality and duration, gut health, genetics, medication, access to healthy foods and even early life experiences.

    For example, a 2020 paper in the journal JAMA Network Open suggests female infants born by cesarean delivery have a higher risk of obesity during adulthood than female infants born by vaginal delivery. The study of 33,226 U.S. women born between 1946 and 1964 found that a cesarean delivery is associated with an 11% higher risk of developing obesity and a 46% higher risk of developing type 2 diabetes.

    Scholars have also found that traumatic childhood experiences such as abuse and neglect are linked to adult obesity, according to a research review published in 2020.

    Income inequality seems to play a role as well. When researchers from the Johns Hopkins Bloomberg School of Public Health studied the link between income inequality and obesity for a sample of 36,665 U.S. adults, they discovered women with lower incomes are more likely to have obesity than women with higher incomes.

    Their analysis indicates the opposite is true for men, whose odds of obesity rise with their income, the researchers write in a 2021 paper in the International Journal of Environmental Research and Public Health.

    Weight bias among doctor trainees

    While scholars have learned a lot about obesity and weight bias in recent decades, the information might not be reaching people training to become doctors. A study published in October finds that some resident physicians believe obesity to be the result of poor choices and weak willpower.

    Researchers asked 3,267 resident physicians who graduated from a total of 49 U.S. medical schools a series of questions to gauge their knowledge of obesity and attitudes toward heavier patients. What they learned: Nearly 40% of resident physicians agreed with the statement, “Fat people tend to be fat pretty much through their own fault.” Almost half agreed with the statement, “Some people are fat because they have no willpower.”

    The study also reveals that about one-third of participants said they “feel more irritated when treating an obese patient than a non-obese patient.”

    “Notably, more than a quarter of residents expressed slight-to-strong agreement with the item ‘I dislike treating obese patients,’” the researchers write.

    Another takeaway from the paper: Resident physicians specializing in orthopedic surgery, anesthesiology and urology expressed the highest levels of dislike of heavier patients. Of the 16 medical specialties represented, residents in family medicine, psychiatry and pediatrics reported the lowest levels of dislike.

    Kimberly Gudzune, medical director of the American Board of Obesity Medicine, asserts that doctors and medical students need to be educated about obesity. The topic “is grossly neglected” in medical schools and medical training programs worldwide, research has found.

    Many physicians don’t understand obesity, Gudzune explains in a July 2023 interview on the internal medicine podcast “The Curbsiders.”

    “I think back to when I was a medical student, when I was a resident, I really didn’t learn much about obesity and how to treat it, yet it’s a problem that affects the majority of our patients,” she tells podcast listeners. “I think there’s a lot of evidence out there showing that primary care physicians don’t really know where to start.”

    In 2011, the American Board of Obesity Medicine established a program through which doctors could become certified in obesity medicine. Since then, a total of 6,729 U.S. doctors have earned certification, the vast majority of whom specialize in family and internal medicine.

    What health care providers think

    The experts who created the consensus statement on weight bias and stigma noted health care providers’ shortcomings in the document. They write that the common themes they discovered in the research include “contemptuous, patronizing, and disrespectful treatment” of patients, a lack of training, poor communication and assumptions about weight gain.

    Puhl, the deputy director of the Rudd Center at the University of Connecticut, is a pioneer in weight bias research and one of the experts who wrote the consensus statement. During an episode of “The Leading Voices in Food,” a podcast created by Duke University’s World Food Policy Center, she shares details about what she has learned over the years.

    “[Health care providers’] views that patients with obesity are lazy or lacking control, are to blame for their weight or noncompliant with treatment,” she says during the interview. “We know, for example, that some physicians spend less time in their appointments with patients [who] have a larger body size. They give them less education about health. They’re more reluctant to perform certain screenings. They talk about treating patients with obesity as being a greater waste of their time than providing care to thinner patients. And we know that patients seem to be aware of these biases from providers and that can really contribute to patients avoiding health care because they just don’t want to repeat those negative experiences of bias.”

    To set the record straight, the experts who wrote the the consensus statement listed the following five common assumptions as being “at odds with a definitive body of biological and clinical evidence.”

    1. Body weight = calories in – calories out.

    This equation oversimplifies the relationship between body weight and energy consumed and used, the experts write. “Both variables of the equation depend on factors additional to just eating and exercising. For instance, energy intake depends on the amount of food consumed, but also on the amount of food-derived energy absorbed through the gastrointestinal tract, which in turn is influenced by multiple factors, such as digestive enzymes, bile acids, microbiota, gut hormones, and neural signals, none of which are under voluntary control.”

    2. Obesity is primarily caused by voluntary overeating and a sedentary lifestyle.

    According to the experts, overeating and forgoing exercise might be symptoms of obesity rather than the root causes. There are many possible causes and contributors “including geneticand epigenetic factors, foodborne factors, sleep deprivation and circadian dysrhythmia, psychological stress, endocrine disruptors, medications, and intrauterine and intergenerational effects. These factors do not require overeating or physical inactivity to explain excess weight.” they write.

    3. Obesity is a lifestyle choice.

    “People with obesity typically recognize obesity as a serious health problem, rather than a conscious choice,” the experts write. “Given the negative effects of obesity on quality of life, the well-known risks of serious complications and reduced life expectancy associated with it, it is a misconception to define obesity as a choice.”

    4. Obesity is a condition, not a disease.

    The criteria generally used to determine disease status “are clearly fulfilled in many individuals with obesity as commonly defined, albeit not all,” the experts explain. “These criteria include specific signs or symptoms (such as increased adiposity), reduced quality of life, and/or increased risk of further illness, complications, and deviation from normal physiology — or well-characterized pathophysiology (for example, inflammation, insulin resistance, and alterations of hormonal signals regulating satiety and appetite).”

    5. Severe obesity is usually reversible by voluntarily eating less and exercising more.

    “A large body of clinical evidence has shown that voluntary attempts to eat less and exercise more render only modest effects on body weight in most individuals with severe obesity,” the experts write. “When fat mass decreases, the body responds with reduced resting energy expenditure and changes in signals that increase hunger and reduce satiety (for example, leptin, ghrelin). These compensatory metabolic and biologic adaptations promote weight regain and persist for as long as persons are in the reduced-energy state, even if they gain some weight back.”

    Health care facility improvements

    The expert panel also determined that many health care facilities aren’t equipped to treat people with obesity. Examination gowns, blood pressure cuffs, chairs and examination tables often are too small, patients have reported.

    When researchers from the University of Minnesota, Minneapolis Veterans Affairs Medical Center and Mayo Clinic studied the quality of care that patients with obesity receive, they learned that a clinic’s physical environment can have a big effect on a patient’s experience.

    They write in a 2015 study published in Obesity Reviews: “Waiting room chairs with armrests can be uncomfortable or too small. Equipment such as scales, blood pressure cuffs, examination gowns and pelvic examination instruments are often designed for use with smaller patients. When larger alternatives are not available, or are stored in a place that suggests infrequent use, it can signal to patients that their size is unusual and that they do not belong. These experiences, which are not delivered with malicious intent, can be humiliating.”

    When medical equipment is the wrong size, it may not work correctly. For instance, chances are high that a blood pressure reading will be inaccurate if a health care professional uses a blood pressure cuff that’s too small on a patient with obesity, a 2022 paper finds.

    To create a comfortable environment for patients with high body weights, the Rudd Center for Food Policy and Obesity recommends that health care facilities provide, among other things, extra-large exam gowns, chairs that can support more than 300 pounds and do not have arms, and wide exam tables that are bolted to the floor so they don’t move.

    The consensus statement also recommends improvements to health care facilities.

    “Given the prevalence of obesity and obesity-related diseases,” the 36 international experts write, “appropriate infrastructure for the care and management of people with obesity, including severe obesity, must be standard requirement for accreditation of medical facilities and hospitals.”

    Source list:

    Weight Bias Among Health Care Professionals: A Systematic Review and Meta-Analysis
    Blake J. Lawrence; et al. Obesity, November 2021.

    Joint International Consensus Statement for Ending Stigma of Obesity
    Francesco Rubino, et al. Nature Medicine, March 2020.

    Perceived Weight Discrimination and Chronic Biochemical Stress: A Population-Based Study Using Cortisol in Scalp Hair
    Sarah E. Jackson, Clemens Kirschbaum and Andrew Steptoe. Obesity, December 2016.

    Weight Stigma is Stressful. A Review of Evidence for the Cyclic Obesity/Weight-Based Stigma Model
    A. Janet Tomiyama. Appetite, November 2014.

    Association of Birth by Cesarean Delivery with Obesity and Type 2 Diabetes Among Adult Women
    Jorge E. Chavarro. JAMA Network Open, April 2020.

    Adverse Childhood Experiences and Adult Obesity: A Systematic Review of Plausible Mechanisms and Meta-Analysis of Cross-Sectional Studies
    David A. Wiss and Timothy D. Brewerton. Physiology & Behavior, September 2020.

    Income Inequality and Obesity among U.S. Adults 1999–2016: Does Sex Matter?
    Hossein Zare, Danielle D. Gaskin and Roland J. Thorpe Jr. International Journal of Environmental Research and Public Health, July 2021.

    Comparisons of Explicit Weight Bias Across Common Clinical Specialties of U.S. Resident Physicians
    Samantha R. Philip, Sherecce A. Fields, Michelle Van Ryn and Sean M. Phelan. Journal of General Internal Medicine, October 2023.

    Impact of Weight Bias and Stigma on Quality of Care and Outcomes for Patients with Obesity
    S.M. Phelan; et al. Obesity Reviews, April 2015.

    One Size Does Not Fit All: Impact of Using A Regular Cuff For All Blood Pressure Measurements
    Tammy. M. Brady; et al. Circulation, April 2022.

    This article first appeared on The Journalist’s Resource and is republished here under a Creative Commons license.

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  • Red Cabbage vs White Cabbage – Which is Healthier?

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    Our Verdict

    When comparing red cabbage to white cabbage, we picked the red.

    Why?

    Perhaps you guessed this one, based on the “darker and/or more colorful foods are usually more nutritionally dense” dictum. That’s not always true, by the way, but it is a good rule of thumb and it is correct here. In the case of cabbages, each type is a nutritional powerhouse, but red does beat white:

    In terms of macros, they’re quite comparable. They’re both >90% water with just enough other stuff (carbs, fiber, protein) to hold them together, and the “other stuff” in question is quite similarly proportioned in both cases. Within the carbs, even the sugar breakdown is similar. There are slight differences, but the differences are not only tiny, but also they balance out in any case.

    When it comes to vitamins, as you might expect, the colorful red cabbage does better with more of vitamins A, B1, B2, B3, B6, C, and choline, while white has more of vitamins B5, B9, E, and K. So, a 7:4 win for red.

    In the category of minerals, it’s even more polarized; red cabbage has more calcium, iron, magnesium, manganese, phosphorus, potassium, selenium, and zinc. On the other hand, white contains a tiny amount more copper.

    In short, both are great (red just makes white look bad by standing next to it, but honestly, white has lots of all those same things too, just not quite as much as red), and this writer will continue to use white when making her favorite shchi, but if you’re looking for the most nutritionally dense option, it’s red.

    Want to learn more?

    You might like to read:

    Enjoy Bitter Foods For Your Heart & Brain

    Take care!

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