Pass (on) the Chips

Eating Ultraprocessed Foods Tied to Diabetes Risk

Higher intake of ultraprocessed foods (for example, packaged snack foods) is associated with increased risk for type 2 diabetes, according to a prospective study in JAMA Internal Medicine.

Over 100,000 French adults completed a series of 24-hour dietary recall questionnaires over a 2-year period. During a median follow-up of 6 years, roughly 820 participants were diagnosed with type 2 diabetes.

After adjustment for body-mass index, physical activity, and other confounders, participants who ate more ultraprocessed foods were at higher risk for diabetes. In particular, the risk increased by 13% with each 10% increase in the proportion of diet comprising ultraprocessed foods.

The authors note that in previous studies, ultraprocessed foods have been linked to increased risks for cancer, cardiovascular disease, and mortality.

JAMA Internal Medicine article (Free abstract)

Background: Physician’s First Watch coverage of ultraprocessed foods & mortality (Free)

NEJM Journal Watch is produced by NEJM Group, a division of the Massachusetts Medical Society. Copyright © 2019 Massachusetts Medical Society. All rights reserved.

Junk food = bad.

Fake Burgers = also bad.

Got DM1? Don’t do Pot

Abstract

OBJECTIVE We examined the frequency of diabetic ketoacidosis (DKA) in cannabis users compared with nonusers in the T1D Exchange clinic registry (T1DX).

RESEARCH DESIGN AND METHODS The association between cannabis use by total substance score for cannabis (TSC) and DKA in the past 12 months was examined using a logistic regression model adjusted for potential confounders among adults in the T1DX.

RESULTS Of 932 adults with type 1 diabetes, 61 had a TSC >4, which classified them as moderate cannabis users. Adjusting for sex, age at study visit, and HbA1c, cannabis use was associated with a twofold increase in risk for DKA among adults with type 1 diabetes (odds ratio 2.5 [95% CI 1.0–5.9]).

CONCLUSIONS Cannabis use was associated with an increased risk for DKA among adults in the T1DX. Providers should inform their patients of the potential risk of DKA with cannabis use.

© 2019 by the American Diabetes Association.

Cannabis Use Is Associated With Increased Risk for Diabetic Ketoacidosis in Adults With Type 1 Diabetes: Findings From the T1D Exchange Clinic Registry

E-bikes Show Distinct Pattern of Severe Injuries

E-bikes Show Distinct Pattern of Severe Injuries

Of more than 245 million injuries reported in the study period, 130,797 involved powered-scooter accidents, accounting for 5.3 per 10,000 U.S. emergency department injuries. There were 3,075 e-bike injuries, or 0.13 per 10,000. In addition, about 9.4 million pedal bicycle injuries accounted for 385.4 per 10,000 of all emergency department injuries.

I live a short distance from one of the three major universities in Oklahoma.  I’ve learned to drive defensively especially when classes are over and the streets are teeming with students.  The other day in a residential 25 MPH area adjacent to campus the car in front of me suddenly hit her brakes.

Student on an e-bike ran a stop sign.  She was not wearing a helmet nor did she look in either direction prior to placing herself directly in the path of a moving car.

Seriously?

When you get to a fork in the road, take it. — RadaJonesMD

Like many other mornings, yesterday I walked the back roads to the Tha-nin market. It’s a good two miles through Thai-only neighborhoods. I always get to see exciting things. Monks collecting alms, well-dressed cats, ninja street cleaners, spirit houses with refreshments and gifts. I love markets almost as much as I love museums, especially…

via When you get to a fork in the road, take it. — RadaJonesMD

This is a wonderful blog post.  Please read, enjoy, and share.

Hot New Model

Predicting 6-Month Mortality for Older Adults Hospitalized With Acute Myocardial Infarction: A Cohort Study

Participants’ mean age was 81.5 years, 44.4% were women, and 10.5% were nonwhite. There were 266 deaths (8.8%) within 6 months. The final risk model included 15 variables, 4 of which were not included in prior risk models: hearing impairment, mobility impairment, weight loss, and lower patient-reported health status