Summary: How the impact of the COVID‐19 stay‐at‐home orders is influencing physical, mental and financial health among vulnerable populations, including those with obesity is unknown. The aim of the current study was to explore the health implications of COVID‐19 among a sample of adults with obesity. A retrospective medical chart review identified patients with obesity from an obesity medicine clinic and a bariatric surgery (MBS) practice. Patients completed an online survey from April 15, 2020 to May 31, 2020 to assess COVID‐19 status and health behaviours during stay‐at‐home orders. Logistic regression models examined the impact of these orders on anxiety and depression by ethnic group. A total of 123 patients (87% female, mean age 51.2 years [SD 13.0]), mean BMI 40.2 [SD 6.7], 49.2% non‐Hispanic white (NHW), 28.7% non‐Hispanic black, 16.4% Hispanic, 7% other ethnicity and 33.1% completed MBS were included. Two patients tested positive for severe acute respiratory syndrome coronavirus 2 and 14.6% reported symptoms. Then, 72.8% reported increased anxiety and 83.6% increased depression since stay‐at‐home orders were initiated. Also 69.6% reported more difficultly in achieving weight loss goals, less exercise time (47.9%) and intensity (55.8%), increased stockpiling of food (49.6%) and stress eating (61.2%). Hispanics were less likely to report anxiety vs NHWs (adjusted odds ratios 0.16; 95% CI, 0.05‐0.49; P = .009). Results here showed the COVID‐19 pandemic is having a significant impact on patients with obesity regardless of infection status. These results can inform clinicians and healthcare professionals about effective strategies to minimize COVID‐19 negative outcomes for this vulnerable population now and in post‐COVID‐19 recovery efforts.

Objective: The aim of this study was to compare the effectiveness of semaglutide versus liraglutide for treating post‐metabolic and bariatric surgery (MBS) weight recurrence.Methods: A retrospective analysis of 207 adults with post‐MBS weight recurrence treated with semaglutide 1.0 mg weekly (n = 115) or liraglutide 3.0 mg daily (n = 92) at an academic center from January 1, 2015, through April 1, 2021, was conducted. The primary end point was percentage body weight change at 12 months of treatment with regimens containing semaglutide or liraglutide.Results: The mean sample age was 55.2 years; mean BMI was 40.4 kg/m²; 89.9% were female; and 50% completed sleeve gastrectomy, 29% completed Roux‐en‐Y gastric bypass, and 21% completed adjustable gastric banding. Least‐squares mean weight change at 12 months was −12.92% versus −8.77% in the semaglutide and liraglutide groups, respectively (p < 0.001). The adjusted odds ratios were 2.34 (95% CI: 1.28‐4.29) for ≥10% weight loss and 2.55 (95% CI: 1.22‐5.36) for ≥15% weight loss over 12 months in the semaglutide group versus liraglutide group, respectively. Weight‐loss efficacy of semaglutide (vs. liraglutide) did not differ by subgroups explored, including age, sex, and MBS procedure.Conclusions: These results show that treatment regimens including semaglutide 1.0 mg weekly lead to superior weight loss compared with liraglutide 3.0 mg daily for treating post‐MBS weight recurrence, regardless of procedure type or the magnitude of weight recurrence.

BACKGROUND: Guideline-directed medical therapies (GDMTs) are the mainstay of treatment for heart failure with reduced ejection fraction (HFrEF), but they are underused. Whether sex differences exist in the initiation and intensification of GDMT for newly diagnosed HFrEF is not well established. METHODS: Patients with incident HFrEF were identified from the 2016 to 2020 Optum deidentified Clinformatics Data Mart Database, which is derived from a database of administrative health claims for members of large commercial and Medicare Advantage health plans. The primary outcome was the use of optimal GDMT within 12 months of HFrEF diagnosis. Consistent with the guideline recommendations during the time period of the study, optimal GDMT was defined as ≥50% of the target dose of evidence-based beta-blocker plus ≥50% of the target dose of angiotensin-converting enzyme inhibitor or angiotensin receptor blocker, or any dose of angiotensin receptor neprilysin inhibitor plus any dose of mineralocorticoid receptor antagonist. The probability of achieving optimal GDMT on follow-up and predictors of optimal GDMT were evaluated with time-to-event analysis with adjusted Cox proportional hazard models. RESULTS: The study cohort included 63 759 patients (mean age, 71.3 years; 15.2% non-Hispanic Black race; 56.6% male). Optimal GDMT use was achieved by 6.2% of patients at 12 months after diagnosis. Female (compared with male) patients with HFrEF had lower use across every GDMT class and lower use of optimal GDMT at each time point at follow-up. In an adjusted Cox model, female sex was associated with a 23% lower probability of achieving optimal GDMT after diagnosis (hazard ratio [HR], 0.77 [95% CI, 0.71–0.83]; P <0.001). The sex disparities in GDMT use after HFrEF diagnosis were most pronounced among patients with commercial insurance (females compared with males; HR, 0.66 [95% CI, 0.58–0.76]) compared with Medicare (HR, 0.85 [95% CI, 0.77–0.92]); P _interaction sex×insurance status=0.005) and for younger patients (age <65 years: HR, 0.65 [95% CI, 0.58–0.74]) compared with older patients (age ≥65 years: HR, 87 [95% CI, 80–96]) P _interaction sex×age=0.009). CONCLUSIONS: Overall use of optimal GDMT after HFrEF diagnosis was low, with significantly lower use among female (compared with male) patients. These findings highlight the need for implementation efforts directed at improving GDMT initiation and titration.

United States (US) youth consume an average of 10 teaspoons of added sugar from sugar-sweetened beverages (SSB) on any given day. Few population-based studies have examined the association between ...

Introduction: The science of telemedicine has shown great advances over the past decade. However, the field needs to better understand if a change in care delivery from in-person to telehealth as a result of the COVID-19 pandemic will yield durable patient engagement and health outcomes for patients with obesity. The objective of this study was to examine the association of mode of healthcare utilization (telehealth versus in-person) and sociodemographic factors among patients with obesity during the COVID-19 pandemic. Methods: A retrospective medical chart review identified patients with obesity from a university outpatient obesity medicine clinic and a community bariatric surgery practice. Patients completed an online survey (1 June 2020–24 September 2020) to assess changes in healthcare utilization modality during subsequent changes in infection rates in the geographic area. Logistic regression analysis examined the association of mode of healthcare utilization and key sociodemographic characteristics. Results: A total of 583 patients (87% female, mean age 51.2 years (standard deviation 13.0), mean body mass index 40.2 (standard deviation 6.7), 49.2% non-Hispanic white, 28.7% non-Hispanic black, 16.4% Hispanic, 7% other ethnicity, 33.1% completed bariatric surgery) were included. Adjusted logistic regression models showed older age was inversely associated with telehealth use (adjusted odds ratio = 0.58, 95% confidence interval 0.34–0.98) and non-Hispanic black were more likely to use telehealth compared to non-Hispanic white (adjusted odds ratio = 1.72, 95% confidence interval 1.05–2.81). Conclusions: The COVID-19 pandemic is impacting access to healthcare among patients with obesity. Telehealth is an emerging modality that can maintain healthcare access during the pandemic, but utilization varies by age and ethnicity in this high-risk population.