Bariatric surgery and COVID-19 outcomes: results from the PaTH to Health: Diabetes study.

BACKGROUND: Obesity and type 2 diabetes mellitus (T2DM) are risk factors for severe COVID-19 infection. Bariatric surgery (BSG) is an effective treatment of obesity through weight loss and may reduce COVID-19 severity. OBJECTIVES: We examined the effect of BSG on COVID-19 outcomes in patients with or at risk of T2DM. SETTING: Electronic health record data from the PaTH Clinical Data Research Network, a partnership of 5 health systems reviewed from March 1, 2020, to December 31, 2020. METHODS: Ambulatory and in-hospital patient encounters with COVID-19 diagnosis and obesity were identified. We constructed 2 patient groups: BSG and non-BSG (NBSG). The BSG group included patients with at least 1 encounter for the BSG procedure code and/or 1 BSG diagnosis code; the NBSG group included patients with no procedure or diagnosis code for BSG with body mass index (BMI) ≥40 or BMI ≥35 and at least 2 obesity-related co-morbidities. We matched 1 patient in the BSG group to 2 patients in the NBSG group based on age, gender (sex defined at birth), race and ethnicity, group (T2DM and at risk of T2DM), and site. The primary outcome was 30-day outcomes of COVID-19 severity. RESULTS: After matching, we found that patients with BSG had lower odds of respiratory failure (41%) and ventilation/intensive care unit (ICU) admission/death (52%). Patients in the BSG group had lower odds of hospitalization, pneumonia, respiratory failure, and the most severe COVID-19 outcomes combined (ventilation/ICU admission/death). T2DM was identified as a risk factor for COVID-19 severity in the BSG group. CONCLUSIONS: This retrospective, matched-cohort analysis found BSG to have a protective effect against severe COVID-19 outcomes.

Equitable Care for Hypertension: Blood Pressure and Patient-Reported Outcomes of the RICH LIFE Cluster Randomized Trial.

BACKGROUND: Disparities in hypertension control are well documented but underaddressed. METHODS: RICH LIFE (Reducing Inequities in Care of Hypertension: Lifestyle Improvement for Everyone) was a 2-arm, cluster randomized trial comparing the effect on blood pressure (BP) control (systolic BP ≤140 mm Hg, diastolic BP ≤90 mm Hg), patient activation, and disparities in BP control of 2 multilevel interventions, standard of care plus (SCP) and collaborative care/stepped care (CC/SC). SCP included BP measurement standardization, audit and feedback, and equity-leadership training. CC/SC added roles to address social or medical needs. Primary outcomes were BP control and patient activation at 12 months. Generalized estimating equations and mixed-effects regression models with fixed effects of time, intervention, and their interaction compared change in outcomes at 12 months from baseline. RESULTS: A total of 1820 adults with uncontrolled BP and ≥1 other risk factors enrolled in the study. Their mean age was 60.3 years, and baseline BP was 152.3/85.5 mm Hg; 59.4% were women; 57.4% were Black, 33.2% were White, and 9.4% were Hispanic; 74% had hyperlipidemia; and 45.1% had type 2 diabetes. CC/SC did not improve BP control rates more than SCP. Both groups achieved statistically and clinically significant BP control rates at 12 months (CC/SC: 57.3% [95% CI, 52.7%-62.0%]; SCP: 56.7% [95% CI, 51.9%-61.5%]). Pairwise comparisons between racial and ethnic groups showed overall no significant differences in BP control at 12 months. Patients with coronary heart disease showed greater achievement of BP control in CC/SC than in SCP (64.0% [95% CI, 54.1%-73.9%] versus 50.8% [95% CI, 42.6%-59.0%]; P=0.04), as did patients in rural areas (67.3% [95% CI, 49.8%-84.8%] versus 47.8% [95% CI, 32.4%-63.2%]; P=0.01). Individuals in both arms experienced statistically and clinically significant reductions in mean systolic BP (CC/SC: -13.8 mm Hg [95% CI, -15.2 to -12.5]; SCP: -14.6 mm Hg [95% CI, -15.9 to -13.2]) and diastolic BP (CC/SC: -6.9 mm Hg [95% CI, -7.8 to -6.1]; SCP: -5.5 mm Hg [95% CI, -6.4 to -4.6]) over time. The difference in diastolic BP reduction between CC/SC and SCP over time was statistically significant (-1.4 mm Hg [95% CI, -2.6 to -0.2). Patient activation did not differ between arms. CC/SC showed greater improvements in patient ratings of chronic illness care (Patient Assessment of Chronic Illness Care score) over 12 months (0.12 [95% CI, 0.02-0.22]). CONCLUSIONS: Adding a collaborative care team to enhanced standard of care did not improve BP control but did improve patient ratings of chronic illness care.

Behavioral Weight Loss Programs for Cancer Survivors Throughout Maryland: Protocol for a Pragmatic Trial and Participant Characteristics.

BACKGROUND: Clinical trials examining lifestyle interventions for weight loss in cancer survivors have been demonstrated to be safe, feasible, and effective. However, scalable weight loss programs are needed to support their widespread implementation. The ASPIRE trial was designed to evaluate real-world, lifestyle-based, weight loss programs for cancer survivors throughout Maryland. OBJECTIVE: The objectives of this protocol paper are to describe the design of a nonrandomized pragmatic trial, study recruitment, and baseline characteristics of participants. METHODS: Participants were aged ≥18 years, residing in Maryland, with a BMI ≥25 kg/m2, who reported a diagnosis of a malignant solid tumor, completed curative treatment, and had no ongoing or planned cancer treatment. Enrollment criteria were minimized to increase generalizability. The primary recruitment source was the Johns Hopkins Health System electronic health records (EHRs). Participants selected 1 of 3 remotely delivered weight loss programs: self-directed, app-supported, or coach-supported program. RESULTS: Participants were recruited across all 5 geographic regions of Maryland. Targeted invitations using EHRs accounted for 287 (84.4%) of the 340 participants enrolled. Of the 5644 patients invited through EHR, 5.1% (287/5644) enrolled. Participants had a mean age of 60.7 (SD 10.8) years, 74.7% (254/340) were female, 55.9% (190/340) identified as non-Hispanic Black, 58.5% (199/340) had a bachelor's degree, and the average BMI was 34.1 kg/m2 (SD 5.9 kg/m2). The most common types of cancers were breast (168/340, 49.4%), prostate (72/340, 21.2%), and thyroid (39/340, 8.5%). The self-directed weight loss program (n=91) included 25 participants who agreed to provide weights through a study scale; the app-supported program (n=142) included 108 individuals who agreed to provide their weight measurements; and the coach-supported weight loss program included 107 participants. We anticipate final analysis will take place in the fall of 2024. CONCLUSIONS: Using EHR-based recruitment efforts, this study took a pragmatic approach to reach and enroll cancer survivors into remotely delivered weight loss programs. TRIAL REGISTRATION: ClinicalTrials.gov NCT04534309; https://clinicaltrials.gov/study/NCT04534309. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/54126.

A Pandemic of Misinformation: Understanding Influences on Beliefs in Health and Conspiracy Myths.

BACKGROUND: Personal characteristics may be associated with believing misinformation and not believing in best practices to protect oneself from COVID-19. OBJECTIVE: To examine the associations of a person's age, race/ethnicity, education, residence, health literacy, medical mistrust level, and sources of health-related information with their COVID-19 health and conspiracy myth beliefs. DESIGN: We surveyed adults with hypertension in Maryland and Pennsylvania between August 2020 and March 2021. Incorrect responses were summed for eight health (mean = 0.68; range 0-5) and two conspiracy (mean = 0.92; range 0-2) COVID-19 questions. Higher scores indicated more incorrect responses. Statistical analyses included two-sample t-tests, Spearman's correlation, and log binomial regression. PARTICIPANTS: In total, 561 primary care patients (mean age = 62.3 years, 60.2% female, 46.0% Black, 10.2% Hispanic, 28.2% with a Bachelor's degree or higher, 42.8% with annual household income less than $60,000) with a diagnosis of hypertension and at least one of five commonly associated conditions. MAIN MEASURES: Sociodemographic characteristics, health literacy, medical mistrust level, source of health-related information, and COVID-19 conspiracy and health myth beliefs. KEY RESULTS: In multivariable analyses, participants who did not get information from medical professional sources (prevalence ratio (PR) = 1.28; 95% CI = 1.06-1.55), had less than a bachelor's degree (PR = 1.49; 95% CI = 1.12-1.99), were less confident filling out medical forms (PR = 1.24; 95% CI = 1.02-1.50), and had higher medical mistrust (PR = 1.34; 95% CI = 1.05-1.69) were more likely to believe any health myths. Participants who had less than a bachelor's degree (PR = 1.22; 95% CI = 1.02-1.45), were less confident filling out medical forms (PR = 1.21; 95% CI = 1.09-1.34), and had higher medical mistrust (PR = 1.72; 95% CI = 1.43-2.06) were more likely to believe any conspiracy myths. CONCLUSIONS: Lower educational attainment and health literacy, greater medical mistrust, and certain sources of health information are associated with misinformed COVID-19 beliefs. Programs addressing misinformation should focus on groups affected by these social determinants of health by encouraging reliance on scientific sources.

Association of Lifestyle Intervention With Risk for Cardiovascular Events Differs by Level of Glycated Hemoglobin.

PURPOSE: We reevaluated the Action for Health in Diabetes (Look AHEAD) intensive lifestyle intervention (ILI) to assess whether the effect of ILI on cardiovascular disease (CVD) prevention differed by baseline glycated hemoglobin (HbA1c). METHODS: Look AHEAD randomized 5145 adults, aged 45 to 76 years with type 2 diabetes and overweight/obesity to ILI or a diabetes support and education (DSE) control group for a median of 9.6 years. ILI focused on achieving weight loss through decreased caloric intake and increased physical activity. We assessed the parent trial's primary composite CVD outcome. We evaluated additive and multiplicative heterogeneity of the intervention on CVD risk by baseline HbA1c. RESULTS: Mean baseline HbA1c was 7.3% (SD 1.2) and ranged from 4.4% (quintile 1) to 14.5% (quintile 5). We observed additive and multiplicative heterogeneity of the association between ILI and CVD (all P < .001) by baseline HbA1c. Randomization to ILI was associated with lower CVD risk for HbA1c quintiles 1 [hazard ratio (HR): 0.68, 95% confidence interval (CI): 0.53, 0.88] and 2 (HR: 0.80, 95% CI: 0.66, 0.96) and associated with higher CVD risk for HbA1c quintile 5 (HR: 1.27, 95% CI: 1.02, 1.58), compared to DSE. CONCLUSION: Among adults with type 2 diabetes and overweight/obesity, randomization to a lifestyle intervention was differentially associated with CVD risk by baseline HbA1c such that it was associated with lower risk at lower HbA1c levels and higher risk at higher HbA1c levels. There is a critical need to develop and tailor lifestyle interventions to be successful for individuals with type 2 diabetes and high HbA1c.

Will the Doctor "See" You Now? The Development and Implementation of a Targeted Telemedicine System for Primary Care.

Objectives: The coronavirus disease 2019 (COVID-19) pandemic led to a rapid adoption of telehealth. For underserved populations lacking internet access, telemedicine was accomplished by phone rather than an audio-video connection. The latter is presumed a more effective form and better approximation of an in-person visit. We sought to provide a telehealth platform to overcome barriers for underserved groups to hold video visits with their health care providers and evaluate differences between the two telehealth modalities as assessed by physicians and patients. Methods: We designed a simplified tablet solution for video visits and piloted its use among patients who otherwise would have been completing audio-only visits. Patients consented to participation and were randomized in a 1:1 fashion to continue with their scheduled phone visit (control) versus being shipped a tablet to facilitate a video visit (intervention). Participants and providers completed communication and satisfaction surveys. Results: Tablet and connectivity design features included removal of all functions but for the telemedicine program, LTE always-on wireless internet connectivity, absence of external equipment (cords chargers and keyboard), and no registration with a digital portal. In total, 18 patients were enrolled. Intervention patients with video-enabled devices compared to control patients agreed more strongly that they were satisfied with their visits (4.75/5 vs. 3.75/5, p = 0.02). Conclusion: The delivered simplified tablet solution for video visits holds promise to improve access to video visits for underserved groups. Strategies to facilitate patient acceptance of devices are needed to expand the scope and potential impact of this effort.

Weighing cessation: Rising adiposity of current smokers in NHANES.

BACKGROUND: Rising rates of obesity may have interacting effects with smoking given associated cardiovascular risks and cessation-associated weight gain. This study aimed to assess the change in body mass index (BMI) magnitude and prevalence of obesity and central adiposity over time among current smokers and to compare with that of former and never smokers to describe how the obesity and tobacco epidemics interrelate. METHODS: Using data from the National Health and Nutrition Examination Survey (NHANES) 1976-2018, survey-weighted, internally standardized analyses were used to look at outcomes of BMI, BMI category, and central adiposity by smoking status. A nonparametric test assessed trend over time. RESULTS: The standardized proportion of current smokers with obesity increased from 11.6% in NHANES II to 36.3% in continuous NHANES 2017-2018; at the latest assessment this proportion was significantly lower than for former smokers. Mean BMI among current smokers also increased, from 24.7 kg/m2 to 28.5 kg/m2 among current smokers, which is significantly lower than among former smokers and never smokers at the latest time point. The standardized proportion of current smokers with central adiposity also increased, from 34.3% to 54.1%; again, at the latest time point the proportion was lower than for former smokers or never smokers. CONCLUSION: Between 1976 and 2018, smoking rates decreased while adiposity increased among current, former, and never smokers. Over a third of current smokers meet BMI criteria for obesity and over half have an elevated waist circumference. It is imperative that weight management strategies be incorporated into smoking cessation approaches.

Associations between the use of a real-time benefit tool and measures related to prescription obtainment found in order type subgroups.

BACKGROUND: The use of real-time benefit tool (RTBT) may help increase transparency of patients' out-of-pocket (OOP) costs, thereby reducing patients' OOP spend and increasing prescription obtainment. OBJECTIVE: We have previously reported on the potential benefit of RTBT in electronic health records at a large health system. We explore the benefit of RTBT by subgroups of prescriptions (i.e., order types). METHODS: In a retrospective cohort, we reviewed orders generated with and without RTBT use. We compared the 2 groups on key metrics related to prescription obtainment (fill rate, modification rate, cancellation rate, time to ready, time to sold, abandonment rate, and cancellation and transfer rate). Subgroup analysis included orders without over-the-counter (OTC) medications, orders without specialty medications, and orders without OTC and specialty medications. RESULTS: Fill rate, cancellation rate, time to ready, time to sold, abandonment rate, and cancellation and transfer rate were statistically significantly different between the RTBT and non-RTBT groups, favoring the RTBT group (all, P < 0.01). Differences in modification rates were not statistically significant between the 2 groups. CONCLUSION: RTBTs have the potential to increase prescription obtainment. A consistent difference in key outcome measures between the RTBT and the non-RTBT groups was apparent among prescription orders regardless of whether OTC and specialty medications were included in the analysis.

Does COVID-19 Infection Increase the Risk of Diabetes? Current Evidence.

PURPOSE OF REVIEW: Multiple studies report an increased incidence of diabetes following SARS-CoV-2 infection. Given the potential increased global burden of diabetes, understanding the effect of SARS-CoV-2 in the epidemiology of diabetes is important. Our aim was to review the evidence pertaining to the risk of incident diabetes after COVID-19 infection. RECENT FINDINGS: Incident diabetes risk increased by approximately 60% compared to patients without SARS-CoV-2 infection. Risk also increased compared to non-COVID-19 respiratory infections, suggesting SARS-CoV-2-mediated mechanisms rather than general morbidity after respiratory illness. Evidence is mixed regarding the association between SARS-CoV-2 infection and T1D. SARS-CoV-2 infection is associated with an elevated risk of T2D, but it is unclear whether the incident diabetes is persistent over time or differs in severity over time. SARS-CoV-2 infection is associated with an increased risk of incident diabetes. Future studies should evaluate vaccination, viral variant, and patient- and treatment-related factors that influence risk.

Are fewer cases of diabetes mellitus diagnosed in the months after SARS-CoV-2 infection? A population-level view in the EHR-based RECOVER program.

Long-term sequelae of severe acute respiratory coronavirus-2 (SARS-CoV-2) infection may include increased incidence of diabetes. Here we describe the temporal relationship between new type 2 diabetes and SARS-CoV-2 infection in a nationwide database. We found that while the proportion of newly diagnosed type 2 diabetes increased during the acute period of SARS-CoV-2 infection, the mean proportion of new diabetes cases in the 6 months post-infection was about 83% lower than the 6 months preinfection. These results underscore the need for further investigation to understand the timing of new diabetes after COVID-19, etiology, screening, and treatment strategies.

Intensive behavioral Therapy for weight loss in patients with, or At-Risk of, type 2 Diabetes: Results from the PaTH to health diabetes study.

Intensive behavioral therapy (IBT) is an important component of obesity treatment and can reduce the risk of type 2 diabetes (T2DM). Objective was to compare the effectiveness of IBT to usual care in achieving weight loss in two study cohorts within PaTH Network: T2DM and At-Risk of T2DM. The TD2M cohort was defined as age 18 years and older with an indication of T2DM in the EHR based on a validated algorithm and at least 2 outpatient primary care visits. The At-Risk of T2DM cohort was defined by a BMI ≥ 25 kg/m2. The primary outcome was weight change within 1-year of index date. Mixed-effects models assessed the effectiveness of IBT by comparing the changes between study groups. Between 2009 and 2020, a total of 567,908 patients were identified in the T2DM cohort and2,054,256 patients in the At-Risk of T2DM cohort. Both IBT patients and matched non-IBT patients in the T2DM cohort had decreased mean weight (primary outcome) (-1.56 lbs, 95 %CI: -1.88, -1.24 vs -1.70 lbs, 95 %CI: -1.95, -1.44) in 1-year after index date. In the At-Risk of T2DM cohort, both IBT and non-IBT patients experienced weight gain and resultant increased BMI. Patients with more than one IBT visit gained less weight than those with only one visit (1.22 lbs, 95 %CI: 0.82, 1.62 vs 6.72 lbs, 95 %CI: 6.48, 6.97; p < 0.001). IBT was unlikely to result in clinically significant weight loss. Barriers to utilizing IBT require further research to ensure broader adoption of obesity management in primary care.

Are fewer cases of diabetes mellitus diagnosed in the months after SARS-CoV-2 infection?

Long-term sequelae of severe acute respiratory coronavirus-2 (SARS-CoV-2) infection may include an increased incidence of diabetes. Our objective was to describe the temporal relationship between new diagnoses of diabetes mellitus and SARS-CoV-2 infection in a nationally representative database. There appears to be a sharp increase in diabetes diagnoses in the 30 days surrounding SARS-CoV-2 infection, followed by a decrease in new diagnoses in the post-acute period, up to 360 days after infection. These results underscore the need for further investigation, as understanding the timing of new diabetes onset after COVID-19 has implications regarding potential etiology and screening and treatment strategies.

Clinical interventions to break the obesity and cancer link: a narrative review.

Excess body weight is a significant risk factor for the development and recurrence of many types of cancer. Patients with a history or current diagnosis of cancer who are overweight or have obesity have an increased risk of cancer treatment-related morbidity, recurrence, and decreased quality of life. Weight loss and maintenance of a healthy body weight may reduce cancer morbidity and recurrence in cancer survivors. While guidelines for cancer survivorship elaborate sufficiently on lifestyle interventions, little guidance is provided when considering additional therapies like anti-obesity pharmacotherapy or bariatric surgery for weight loss. This review will highlight and address current recommendations and feasible interventions that clinicians may consider to further reduce the incidence and recurrence of cancer in patients with obesity.

Hospitalization and mortality in patients with COVID-19 with or at risk of type 2 diabetes: data from five health systems in Pennsylvania and Maryland.

OBJECTIVE: To identify the demographic and clinical characteristics associated with adverse COVID-19 outcomes across a 12-month period in 2020 and 2021. RESEARCH DESIGN AND METHODS: We conducted a retrospective cohort study using electronic health records from five academic health systems in Pennsylvania and Maryland, including patients with COVID-19 with type 2 diabetes or at risk of type 2 diabetes. Patients were classified based on 30-day outcomes: (1) no hospitalization; (2) hospitalization only; or (3) a composite measure including admission to the intensive care unit (ICU), intubation, or death. Analyses were conducted in patients with type 2 diabetes and patients at risk of type 2 diabetes separately. RESULTS: We included 15 725 patients with COVID-19 diagnoses between March 2020 and February 2021. Older age and higher Charlson Comorbidity Index scores were associated with higher odds of adverse outcomes, while COVID-19 diagnoses later in the study period were associated with lower odds of severe outcomes. In patients with type 2 diabetes, individuals on insulin treatment had higher odds for ICU/intubation/death (OR=1.59, 95% CI 1.27 to 1.99), whereas those on metformin had lower odds (OR=0.56, 95% CI 0.45 to 0.71). Compared with non-Hispanic White patients, Hispanic patients had higher odds of hospitalization in patients with type 2 diabetes (OR=1.73, 95% CI 1.36 to 2.19) or at risk of type 2 diabetes (OR=1.77, 95% CI 1.43 to 2.18.) CONCLUSIONS: Adults who were older, in racial minority groups, had multiple chronic conditions or were on insulin treatment had higher risks for severe COVID-19 outcomes. This study reinforced the urgency of preventing COVID-19 and its complications in vulnerable populations. TRIAL REGISTRATION NUMBER: NCT02788903.

Increases in Circulating and Fecal Butyrate are Associated With Reduced Blood Pressure and Hypertension: Results From the SPIRIT Trial.

Background Short chain fatty acids (SCFAs) are microbially derived end products of dietary fiber fermentation. The SCFA butyrate reduces blood pressure (BP) in mouse models. The association of SCFAs, including butyrate, with BP in humans is unclear, due in part to predominantly cross-sectional analyses and different biospecimens (blood versus fecal) for SCFA measurement. Longitudinal studies including both circulating and fecal SCFAs are lacking. Methods and Results We leveraged existing data from the SPIRIT (Survivorship Promotion In Reducing IGF-1 Trial), which randomized 121 adult cancer survivors with overweight/obesity to a behavioral weight-loss intervention, metformin, or self-directed weight-loss. Of participants with baseline serum and fecal SCFAs measured (n=111), a subset had serum (n=93) and fecal (n=89) SCFA measurements 12 months later. We used Poisson regression with robust error variance to estimate baseline associations of SCFAs with hypertension, and we assessed the percent change in SCFAs from baseline with corresponding 12-month changes in BP using multiple linear regression. Baseline fecal butyrate was inversely associated with prevalent hypertension (standardized PR [95%CI]: 0.71 [0.54, 0.92]). A 10% increase in fecal butyrate from baseline was associated with decreased systolic BP (ß [95%CI]: -0.56 [-1.01, -0.10] mm Hg), and a 10% increase in serum butyrate was associated with decreased systolic (ß [95%CI]: -1.39 [-2.15, -0.63] mm Hg) and diastolic (ß [95%CI]: -0.55 [-1.03, -0.08] mm Hg) BPs. Butyrate associations with systolic BP were linear and not modified by sex, race, or intervention arm. Conclusions Increased serum or fecal butyrate is associated with lowered BP. Butyrate may be a target for SCFA-centered BP-lowering interventions. Registration URL: https://www.clinicaltrials.gov; Unique identifier: NCT02431676.

A behavioral weight-loss intervention, but not metformin, decreases a marker of gut barrier permeability: results from the SPIRIT randomized trial.

BACKGROUND/OBJECTIVES: Lipopolysaccharide-binding protein (LBP), a biomarker of gut barrier permeability to lipopolysaccharides, is higher in adults with obesity and type 2 diabetes. Behavioral weight loss and metformin have distinct effects on the gut microbiome, but their impact on gut permeability to lipopolysaccharides is unknown. This study's objective was to determine the effects of a behavioral weight-loss intervention or metformin treatment on plasma LBP. SUBJECTS/METHODS: SPIRIT was a randomized trial of adults with overweight or obesity. Participants were randomized to one of three arms: metformin treatment, coach-directed behavioral weight loss on a DASH diet, or self-directed care (control). Of 121 participants, a random subset (n = 88) was selected to have LBP measured at baseline, 6 months, and 12 months post intervention. Intervention effects on LBP over time were assessed using generalized estimating equations (GEE). We also examined whether the intervention effects were modified by change in diet and weight. RESULTS: Arms were balanced by sex (83% female), race (51% white), and age (mean 60 years), with no differences in baseline LBP (median 4.23 µg/mL). At 1 year, mean weight change was -3.00% in the metformin arm, -3.02% in the coach-directed behavioral weight-loss arm, and +0.33% in the self-directed (control) arm. The corresponding change in LBP was +1.03, -0.98, +1.03 µg/mL. The behavioral weight-loss intervention reduced LBP compared to self-directed care (ß = -0.17, 95% CI: -0.33 to -0.01); no other between-arm comparisons were significant. Behavioral weight-loss participants who reduced dietary fat showed the greatest reductions in 6-month LBP (ß = -2.84, 95% CI: -5.17 to -0.50). CONCLUSIONS: Despite similar weight loss in the behavioral weight loss arm and the metformin arm, only the behavioral weight-loss intervention reduced LBP compared to control. Lifestyle weight-loss interventions that promote a DASH diet may be effective at reducing gut barrier permeability to lipopolysaccharides. CLINICAL TRIALS REGISTRATION NUMBER: NCT02431676, https://clinicaltrials.gov.

Use of Health Information Technology by Adults With Diabetes in the United States: Cross-sectional Analysis of National Health Interview Survey Data (2016-2018).

BACKGROUND: The use of health information technology (HIT) has been proposed to improve disease management in patients with type 2 diabetes mellitus. OBJECTIVE: This study aims to report the prevalence of HIT use in adults with diabetes in the United States and examine the factors associated with HIT use. METHODS: We analyzed data from 7999 adults who self-reported a diabetes diagnosis as collected by the National Health Interview Survey (2016-2018). All analyses were weighted to account for the complex survey design. RESULTS: Overall, 41.2% of adults with diabetes reported looking up health information on the web, and 22.8% used eHealth services (defined as filled a prescription on the web, scheduled an appointment with a health care provider on the web, or communicated with a health care provider via email). In multivariable models, patients who were female (vs male: prevalence ratio [PR] 1.16, 95% CI 1.10-1.24), had higher education (above college vs less than high school: PR 3.61, 95% CI 3.01-4.33), had higher income (high income vs poor: PR 1.40, 95% CI 1.23-1.59), or had obesity (vs normal weight: PR 1.11, 95% CI 1.01-1.22) were more likely to search for health information on the web. Similar associations were observed among age, race and ethnicity, education, income, and the use of eHealth services. Patients on insulin were more likely to use eHealth services (on insulin vs no medication: PR 1.21, 95% CI 1.04-1.41). CONCLUSIONS: Among adults with diabetes, HIT use was lower in those who were older, were members of racial minority groups, had less formal education, or had lower household income. Health education interventions promoted through HIT should account for sociodemographic factors.