📦 FREE SCHOOL MEAL PARCELS EXPLAINED

🍏 I’ve had a number of questions today about the parcels that have been going out for those who receive free school meals and aren’t able to take up this entitlement in school at the moment.

Right, screw it. Here's a thread on *that* FBLive by Alex Cairnie about #Govanhill. Lets do a watch-through shall we? (Mind, I'm a resident of Govanhill, and a sociologist. I'm also 5'3, and a visibly queer woman so if half his claims are true I should be living in terror)

00:30: Welcomes viewers and uses points out that his videos are only getting attention b/c they're 'horrific'. Directs folk to his Youtube page. So already clout hunting.

1:08: "I've been warned to stay out of Govanhill. I'm a marked man" (proceeds to use a beanie as a disguise)

1:30 "Laughing and joking aside, here's somebodys front garden." Proceeds to show litter and claim its thrown from windows and this is 'common'. I know a handful of streets with litter issues like this, but its neither common nor unique to #govanhill and other deprived areas.

2:10 "Don't be under any illusion I'm only showing you the bad bits" - only shows you the bad bits.

3:45: He's had offers of help, but hes said no because hes not responsible for 'anybody elses safety' Good lord.

5:01: "Its not that bad. But its not all good either" -Correct

6:00: TW: child abuse - He starts claiming to have been contacted by a health professional and told about child abuse 'in the area'. Huge ethical issues here as the 'professional' who has 'been in the game a long time' is reporting to Facebook Dude and not authorities.

In medicine, reckoning with racism includes reappraising the very syntax we use every day. Proud to add my voice w/ @J_Ikeme and @RWGrantMD in this @JAMAInternMed pub addressing:

Does race/ethnicity belong in the first line of the patient

Some background: I’ve struggled with this question since early in medical school

Medical syntax is designed to communicate information in a predictable sequence with key elements prioritized to facilitate efficient communication and formation of an assessment and plan

2/

From preclinical lectures to Qbank questions to clerkship rotations, race/ethnicity was often prioritized in the same sentence as age + gender.

I grew accustomed to reading/hearing: a 70-year-old Black man w/ history of x, a 50-year-old Hispanic woman presented w/ y.

3/

However, when it came time for me to use race/ethnicity, there was always tension. Race/ethnicity are self/socially-ascribed identities that in clinical practice are almost always assumed by providers based on appearance. I was also concerned about the potential for bias

4/

I wondered how my own care would be impacted or not impacted by my ethnicity (Hispanic) – I have light skin so I’m not sure if my doctors would even identify me as such – but how would my care be different if I was presented as a 30-year-old Hispanic male?

5/

8 superfoods that will 10x your body mass:

1. Red Meat

Red meat is an excellent source of protein that aids in weight gain and muscular development.

It has leucine and creatine, which are substances important for increasing muscle building.

Protein and fat found in steak and other red meats contribute to weight gain.

2. Starchy Foods

Potatoes, sweet potatoes, corn, whole grain bread, oatmeal, whole wheat pasta, and brown rice are high-carbohydrate foods.

Carbohydrates, which have a protein-sparing effect, are essential for muscle growth along with proteins.

3. Eggs

Eggs are a powerhouse of protein, zinc, vitamins A, D, B 12, phosphorus, and folate.

Egg protein has a high biological value, which makes it the ideal post-workout snack.

There are 90 calories, 6.7 grams of fat, and 6.1 grams of protein in one large scrambled egg.

4. Fatty Fish

Essential fatty acids and proteins are abundant in fatty fish like salmon.

They aid in weight gain and immune boosting.

The finest source of omega-3 which is important for weight gain is found in these fish.

@sbarnettARK Epigenomic biomarkers are becoming more established for #LiquidBiopsy and #CancerScreening, and we have seen the big players positioning themselves in this #epigenomics race recently.

Catching signs of #cancer early is crucially important to the disease management and survival rates, so the question is: how can we find out if there is something wrong going on early enough?

The first generation of high-throughput technologies was predicated on finding mutated (tumor) DNA in the individual's body (somatic), different from their (normal) DNA. Tumor/Normal (T/N) comparisons of the individual's samples, biopsies or ctDNA will indicate if there

are signs of cancer already underway. So why do we need #epigenomic profiling if we can do all this with the detection of mutations? Well, the argument is that if you can see sufficient mutated copies of DNA, cancer may already have progressed beyond the initial stages.

Then people asked the question: is there an earlier mark that we can detect for earlier stages of cancer before the Tumor/Normal mutations signal amps up? Here is where #epigenomics profiling took hold.