Practice Trends among US Gastroenterologists following the 2020 American Gastroenterological Association Guidelines on Gastric Intestinal Metaplasia: Data from a Tertiary Care Center.

BACKGROUND AND AIMS: Studies show variability in gastroenterologists' management of gastric intestinal metaplasia (GIM) in the United States. In 2020, the American Gastroenterological Association published GIM guidelines, recommending physician-patient shared decision-making on GIM surveillance based on risk factors. We compared gastroenterologists' communication trends of a GIM finding and surveillance recommendations before and after 2020 and evaluated patient and provider factors associated with a surveillance recommendation. METHODS: A sample of patients diagnosed with GIM on biopsies from upper endoscopies performed in 2018 (cohort A) and 2021 (cohort B) were included. Logistic regression analysis assessed the association between patient/provider characteristics and surveillance recommendations in the overall cohort and over time. MATERIALS: In all, 347 patients were included: 175 in cohort A and 172 in B. Median age was 65.7 (56.0, 73.4), and 54.5% were females. Communication to patients about GIM findings and surveillance recommendations increased from 24.6% <2020 to 50% >2020 (P<0.001) and 20% <2020 to 41.3% >2020 (P<0.001), respectively. Overall, endoscopy >2020, family history of gastric cancer, autoimmune gastritis, female providers, and gastroenterologists with 10 to 20 years of experience were associated with a surveillance recommendation. The effect of family history of gastric cancer and the effect of the patient's female sex on surveillance was significantly different between both cohorts [Odds ratio (OR): 0.13, 95% (Confidence interval) CI: 0.02, 0.97 and OR 3.39, 95% CI: 1.12, 10.2, respectively). CONCLUSIONS: Despite a 2-fold increase in surveillance recommendations after 2020, there was no meaningful effect of any of the patients' factors on a recommendation for surveillance over time, which raises the question as to whether surveillance is being offered to both average and high-risk patients without thorough risk stratification.

The gap between what patients know and desire to learn about their cardiac implantable electronic devices.

BACKGROUND: Advancement of digital technology now allows patients to have access to data from their cardiac implantable electronic devices (CIEDs). However, patients' understanding regarding CIED data and perceived personal usability remain unclear. The present study is a prospective survey to examine patients' understanding of their CIEDs and their perception of what is important. METHODS: We screened 400 patients between July and December 2018 who presented to our outpatient clinic for a CIED interrogation. Patients received a one-page questionnaire asking baseline demographics, their perception about their own knowledge about their device, and multiple-choice questions in seven basic categories: type of CIED, original indication, functionality, manufacturer, number of active leads, estimated battery life, and number of shocks received. We compared these answers to their interrogation reports to assess accuracy. We also asked participants what they would like to be aware of regarding their CIED. RESULTS: From this cohort, 344 of 400 (86%) (62.9 ± 12.8 years and 64 % males) agreed to take the survey and were included in the analysis. At baseline, 63.2% agreed or strongly agreed that they were knowledgeable about their devices. The overwhelming majority of patients demonstrated CIED knowledge deficits in at least one content area (n = 294, 86%), or more than two content areas (n = 176, 51%). Patients agreed or strongly agreed that they had a desire to have information regarding each of the following: battery life (84%), activity level (79%), heart rate trend (75%), and ventricular arrhythmias (74%). CONCLUSION: There is a large discrepancy in patients' level of knowledge regarding their CIEDs and their wish to know more details. Future technologies should satisfy providers' goals to educate their patients with basic information and fulfill patients' desire to obtain more data from their CIEDs.

Social media use and weight bias internalization: association moderated by age and weight perception.

BACKGROUND: The current study examined whether weight perception or age moderated associations between time spent on image-based social media and weight bias internalization (WBI). METHODS: Data come from the baseline visit of the Tracking Our Lives Study, a randomized control trial of college women (n = 200). Participants completed questionnaires assessing time spent on social media (continuous, overall and individual platforms Instagram, Facebook, and Snapchat), WBI (continuous), weight perception (perceive their weight as "overweight" vs. do not perceive their weight as "overweight"), age (continuous, 18-49 years), and confounders (race/ethnicity, parent education, sexual orientation, and BMI). Adjusted zero-inflated Poisson regressions were performed to determine if weight perception and age moderated associations between time spent on image-based social media and WBI. RESULTS: As expected, we found a positive association between overall time spent on image-based social media and WBI (ß = 0.826, p < 0.001). In moderation analyses, the strength of the association was weakened among women who perceived their weight as "overweight" (ß=-0.018, p = 0.006). Associations also weakened with age (ß=-0.001, p < 0.001). The association between time spent on Instagram and WBI was also weakened with age (ß=-0.014, p = 0.018), which was the only significant moderation found for individual social media platforms. CONCLUSIONS: Our results suggest that image-based social media use is more strongly associated with increases in WBI among younger women.

There is research reporting that college women who spend an increased amount of time on image-based social media apply more negative-based weight stereotypes to oneself, leading to weight-based self-degradation. This is known as weight bias internalization. However, there may be things that make social media more or less harmful for college women. The goal of this study was to see if a woman's age or their perception of their weight changed the relationship between the amount of time spent on image-based social media and weight bias internalization. Data come from 200 college women who completed questionnaires to determine time spent on social media, their level of weight bias internalization, how they perceived their weight, age, and other demographics. Results showed that women who perceive their weight as "overweight" had a weaker association between time spent on all image-based social media and weight bias internalization, as did older women. Our results suggest that younger women may be more susceptible to influences on social media that increase their weight bias internalization. These results can be used to identify those who may benefit from interventions aimed at reducing weight bias internalization and prevent later health consequences as a result of having more weight bias internalization.