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eating disorders, weight triggers, patients' rights
via More-Love and Pexels

Ginny Jones' "Don't weigh me" cards.

It can be psychologically distressing for people who’ve had an eating disorder to stand on a scale. For those who have struggled or are currently dealing with a disorder, being weighed can lead to obsession. It can also trigger dangerous behaviors such as purging, binging or reducing food intake.

That makes going to see the doctor a dangerous proposition for many. Most doctors routinely weigh every patient regardless of their body type or whether they’ve struggled with eating issues.

The fear of having to stand on a scale in a doctor’s office can lead those who’ve struggled with an eating disorder to avoid medical care for fear of having to be weighed.

"I myself recovered from an almost lifelong eating disorder. And when I did, being weighed at the doctor's office was very stressful," Ginny Jones, Editor of More-Love.org and a parent coach, told TODAY. "I knew that, especially among people with a history of eating disorders, being weighed is not a helpful way to begin every medical appointment."

So in 2019, Jones created cards to hand to medical practitioners so people could discreetly ask not to be weighed unless it’s a medical necessity. The cards have gone viral multiple times on social media, leading them to become popular among patients and medical practitioners.


via More-Love.org

The cards’ popularity shows just how stressed so many feel about being weighed in a medical setting. “So many people are avoiding going to medical appointments or feeling incredible stress and anxiety leading into medical appointments,” Jones said.

A tweet by Dani Donovan sharing one of Jones’ cards went viral last month, earning over 27,000 likes.

The tweet started an eye-opening conversation about the discomfort many feel about being weighed by their doctors. It also stirred up debate over the lengths to which patients should go to dictate how they are treated in a medical setting.

Donovan has an eating disorder and the cards have allowed her to avoid unnecessary stress and to be an advocate for her health in a quiet, nonconfrontational way. "I'd heard somewhere that you could refuse or tell them that you didn't want to be weighed, but I had always felt way too intimidated to say it out loud,” she said.

The success of the “Don’t weigh me” cards is backed up by studies conducted in treatment facilities for people with eating disorders. In these facilities, healthcare practitioners must consider the benefits between allowing patients to know their weight or “blind weighing” them in which their numbers are kept secret.

A recent study from 2020 found that patients in the “acute” phase of their treatment that were blind weighed experienced “decreased anxiety and eating disorder symptoms and as a result, increased their ability to effectively engage in their treatment.” Blind weighing also resulted in patients experiencing “significantly less anxiety” around being weighed.

Having an eating disorder can be an invisible problem that is very difficult to discuss, even in the presence of a doctor. Jones’ cards are a way for people to advocate for their health in a way that is comfortable for themselves and their healthcare professionals.

Joy

Nurse turns inappropriate things men say in the delivery room into ‘inspirational’ art

"Can you move to the birthing ball so I can sleep in the bed?"

Holly the delivery nurse.

After working six years as a labor and delivery nurse Holly, 30, has heard a lot of inappropriate remarks made by men while their partners are in labor. “Sometimes the moms think it’s funny—and if they think it’s funny, then I’ll laugh with them,” Holly told TODAY Parents. “But if they get upset, I’ll try to be the buffer. I’ll change the subject.”

Some of the comments are so wrong that she did something creative with them by turning them into “inspirational” quotes and setting them to “A Thousand Miles” by Vanessa Carlton on TikTok.

“Some partners are hard to live up to!” she jokingly captioned the video.

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All images provided by Adewole Adamson

It begins with more inclusive conversations at a patient level

True

Adewole Adamson, MD, of the University of Texas, Austin, aims to create more equity in health care by gathering data from more diverse populations by using artificial intelligence (AI), a type of machine learning. Dr. Adamson’s work is funded by the American Cancer Society (ACS), an organization committed to advancing health equity through research priorities, programs and services for groups who have been marginalized.

Melanoma became a particular focus for Dr. Adamson after meeting Avery Smith, who lost his wife—a Black woman—to the deadly disease.

melanoma,  melanoma for dark skin Avery Smith (left) and Adamson (sidenote)

This personal encounter, coupled with multiple conversations with Black dermatology patients, drove Dr. Adamson to a concerning discovery: as advanced as AI is at detecting possible skin cancers, it is heavily biased.

To understand this bias, it helps to first know how AI works in the early detection of skin cancer, which Dr. Adamson explains in his paper for the New England Journal of Medicine (paywall). The process uses computers that rely on sets of accumulated data to learn what healthy or unhealthy skin looks like and then create an algorithm to predict diagnoses based on those data sets.

This process, known as supervised learning, could lead to huge benefits in preventive care.

After all, early detection is key to better outcomes. The problem is that the data sets don’t include enough information about darker skin tones. As Adamson put it, “everything is viewed through a ‘white lens.’”

“If you don’t teach the algorithm with a diverse set of images, then that algorithm won’t work out in the public that is diverse,” writes Adamson in a study he co-wrote with Smith (according to a story in The Atlantic). “So there’s risk, then, for people with skin of color to fall through the cracks.”

Tragically, Smith’s wife was diagnosed with melanoma too late and paid the ultimate price for it. And she was not an anomaly—though the disease is more common for White patients, Black cancer patients are far more likely to be diagnosed at later stages, causing a notable disparity in survival rates between non-Hispanics whites (90%) and non-Hispanic blacks (66%).

As a computer scientist, Smith suspected this racial bias and reached out to Adamson, hoping a Black dermatologist would have more diverse data sets. Though Adamson didn’t have what Smith was initially looking for, this realization ignited a personal mission to investigate and reduce disparities.

Now, Adamson uses the knowledge gained through his years of research to help advance the fight for health equity. To him, that means not only gaining a wider array of data sets, but also having more conversations with patients to understand how socioeconomic status impacts the level and efficiency of care.

“At the end of the day, what matters most is how we help patients at the patient level,” Adamson told Upworthy. “And how can you do that without knowing exactly what barriers they face?”

american cancer society, skin cacner treatment"What matters most is how we help patients at the patient level."https://www.kellydavidsonstudio.com/

The American Cancer Society believes everyone deserves a fair and just opportunity to prevent, find, treat, and survive cancer—regardless of how much money they make, the color of their skin, their sexual orientation, gender identity, their disability status, or where they live. Inclusive tools and resources on the Health Equity section of their website can be found here. For more information about skin cancer, visit cancer.org/skincancer.

The mesmerizing lost art of darning knit fabric.

For most of human history, people had to make their own clothing by hand, and sewing skills were subsequently passed down from generation to generation. Because clothing was so time-consuming and labor-intensive to make, people also had to know how to repair clothing items that got torn or damaged in some way.

The invention of sewing and knitting machines changed the way we acquire clothing, and the skills people used to possess have largely gone by the wayside. If we get a hole in a sock nowadays, we toss it and replace it. Most of us have no idea how to darn a sock or fix a hole in any knit fabric. It's far easier for us to replace than to repair.

But there are still some among us who do have the skills to repair clothing in a way that makes it look like the rip, tear or hole never happened, and to watch them do it is mesmerizing.

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Pop Culture

Artist uses AI to create ultra realistic portraits of celebrities who left us too soon

What would certain icons look like if nothing had happened to them?

Mercury would be 76 today.

Some icons have truly left this world too early. It’s a tragedy when anyone doesn’t make it to see old age, but when it happens to a well-known public figure, it’s like a bit of their art and legacy dies with them. What might Freddie Mercury have created if he were granted the gift of long life? Bruce Lee? Princess Diana?

Their futures might be mere musings of our imagination, but thanks to a lot of creativity (and a little tech) we can now get a glimpse into what these celebrities might have looked like when they were older.

Alper Yesiltas, an Istanbul-based lawyer and photographer, created a photography series titled “As If Nothing Happened,” which features eerily realistic portraits of long gone celebrities in their golden years. To make the images as real looking as possible, Yesiltas incorporated various photo editing programs such as Adobe Lightroom and VSCO, as well as the AI photo-enhancing software Remini.

“The hardest part of the creative process for me is making the image feel ‘real’ to me,” Yesiltas wrote about his passion project. “The moment I like the most is when I think the image in front of me looks as if it was taken by a photographer.”

Yesiltas’ meticulousness paid off, because the results are uncanny.

Along with each photo, Yesiltas writes a bittersweet message “wishing” how things might have gone differently … as if nothing happened.
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