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Compare adverse outcomes up to 5 years after sleeve gastrectomy and gastric bypass in patients with Medicaid.Sleeve gastrectomy is the most common bariatric operation among patients with Medicaid, however its long-term safety in this population is unknown.Using Medicaid claims, we performed a retrospective cohort study of adult patients who underwent sleeve gastrectomy or gastric bypass from January 1, 2012 to December 31, 2018. Instrumental variables survival analysis was used to estimate the cumulative incidence and heterogeneity of outcomes up to 5 years after surgery.Among 132,788 patients with Medicaid, 84,717 (63.8%) underwent sleeve gastrectomy and 48,071 (36.2%) underwent gastric bypass. 69,225 (52.1%) patients were White, 33,833 (25.5%) were Black, and 29,730 (22.4%) were Hispanic. Compared to gastric bypass, sleeve gastrectomy was associated with a lower 5-year cumulative incidence of mortality (1.29% vs. 2.15%), complications (11.5% vs. 16.2%), hospitalization (43.7% vs. 53.7%), ED use (61.6% vs. 68.2%), and reoperation (18.5% vs. 22.8%), but a higher cumulative incidence of revision (3.3% vs. 2.0%). Compared to White patients, the magnitude of the difference between sleeve and bypass was smaller among Black patients for ED use (5-year aHR 1.01 [95% CI 0.94-1.08] vs. 0.94 [95% CI 0.88-1.00], P0.001) and Hispanic patients for reoperation (5-year aHR 0.95 [95% CI 0.86-1.05] vs. 0.76 [95% CI 0.69-0.83], P0.001).Among patients with Medicaid undergoing bariatric surgery, sleeve gastrectomy was associated with a lower risk of mortality, complications, hospitalization, ED use, and reoperations, but a higher risk of revision compared to gastric bypass. Although the difference between sleeve and bypass was generally similar among White, Black, and Hispanic patients, the magnitude of this difference was smaller among Black patients for ED use and Hispanic patients for reoperation.

To compare safety and healthcare utilization after sleeve gastrectomy versus Roux-en-Y gastric bypass in a national Medicare cohort.Though bariatric surgery is increasing among Medicare beneficiaries, no long-term, national studies examining comparative effectiveness between procedures exist. Bariatric outcomes are needed for shared decision-making and coverage policy concerns identified by the cMS Medicare Evidence Development and Coverage Advisory Committee.Retrospective instrumental variable analysis of Medicare claims (2012-2017) for 30,105 bariatric surgery patients entitled due to disability or age. We examined clinical safety outcomes (mortality, complications, and reinterventions), healthcare utilization [Emergency Department (ED) visits, rehospitalizations, and expenditures], and heterogeneity of treatment effect. We compared all outcomes between sleeve and bypass for each entitlement group at 30 days, 1 year, and 3 years.Among the disabled (n = 21,595), sleeve was associated with lower 3-year mortality [2.1% vs 3.2%, absolute risk reduction (ARR) 95% confidence interval (CI): -2.2% to -0.03%], complications (22.2% vs 27.7%, ARR 95%CI: -8.5% to -2.6%), reinterventions (20.1% vs 27.7%, ARR 95%CI: -10.7% to -4.6%), ED utilization (71.6% vs 77.1%, ARR 95%CI: -8.5% to -2.4%), and rehospitalizations (47.4% vs 52.3%, ARR 95%Ci: -8.0% to -1.7%). Cumulative expenditures were $46,277 after sleeve and $48,211 after bypass (P = 0.22). Among the elderly (n = 8510), sleeve was associated with lower 3-year complications (20.1% vs 24.7%, ARR 95%CI: -7.6% to -1.7%), reinterventions (14.0% vs 21.9%, ARR 95%CI: -10.7% to -5.2%), ED utilization (51.7% vs 57.2%, ARR 95%CI: -9.1% to -1.9%), and rehospitalizations (41.8% vs 45.8%, ARR 95%Ci: -7.5% to -0.5%). Expenditures were $38,632 after sleeve and $39,270 after bypass (P = 0.60). Procedure treatment effect significantly differed by entitlement for mortality, revision, and paraesophageal hernia repair.Bariatric surgery is safe, and healthcare utilization benefits of sleeve over bypass are preserved across both Medicare elderly and disabled subpopulations.

To compare out-of-pocket (OOP) costs for patients up to 3 years after bariatric surgery in a large, commercially-insured population.More information on OOP costs following bariatric surgery may affect patients' procedure choice.Retrospective study using the IBM MarketScan commercial claims database, representing patients nationally who underwent laparoscopic sleeve gastrectomy (SG) or Roux-en-Y gastric bypass (RYGB) January 1, 2011 to December 31, 2017. We compared total OOP costs after the surgical episode between the 2 procedures using difference-in-differences analysis adjusting for demographics, comorbidities, operative year, and insurance type.Of 63,674 patients, 64% underwent SG and 36% underwent RYGB. Adjusted OOP costs after SG were $1083, $1236, and $1266 postoperative years 1, 2, and 3. For RYGB, adjusted OOP costs were $1228, $1377, and $1369. In our primary analysis, SG OOP costs were $122 (95%CI: -$155 to -$90) less than RYGB year 1. This difference remained consistent at -$119 (95%CI: -$158 to -$79) year 2 and -$80 (95%CI: -$127 to -$35) year 3. These amounts were equivalent to relative differences of -7%, -7%, and -5% years 1, 2, and 3. Plan features contributing the most to differences were co-insurance years 1, 2, and 3.. The largest clinical contributors to differences were endoscopy and outpatient care year 1, outpatient care year 2, and emergency department use year 3.Our study is the first to examine the association between bariatric surgery procedure and OOP costs. Differences between procedures were approximately $100 per year which may be an important factor for some patients deciding whether to pursue SG or gastric bypass.

Neighborhoods may play an important role in shaping long-term weight trajectory and obesity risk. Studying the impact of moving to another neighborhood may be the most efficient way to determine the impact of the built environment on health. We explored whether residential moves were associated with changes in body weight.Kaiser Permanente Washington electronic health records were used to identify 21,502 members aged 18-64 who moved within King County, WA between 2005 and 2017. We linked body weight measures to environment measures, including population, residential, and street intersection densities (800 m and 1,600 m Euclidian buffers) and access to supermarkets and fast foods (1,600 m and 5,000 m network distances). We used linear mixed models to estimate associations between postmove changes in environment and changes in body weight.In general, moving from high-density to moderate- or low-density neighborhoods was associated with greater weight gain postmove. For example, those moving from high to low residential density neighborhoods (within 1,600 m) gained an average of 4.5 (95% confidence interval [CI] = 3.0, 5.9) lbs 3 years after moving, whereas those moving from low to high-density neighborhoods gained an average of 1.3 (95% CI = -0.2, 2.9) lbs. Also, those moving from neighborhoods without fast-food access (within 1600m) to other neighborhoods without fast-food access gained less weight (average 1.6 lbs [95% CI = 0.9, 2.4]) than those moving from and to neighborhoods with fast-food access (average 2.8 lbs [95% CI = 2.5, 3.2]).Moving to higher-density neighborhoods may be associated with reductions in adult weight gain.

Objective To separately compare the long-term risk of mortality among bariatric surgical patients undergoing either RYGB or SG to large, matched, population-based cohorts of patients with severe obesity who did not undergo surgery. Background Bariatric surgery has been associated with reduced long-term mortality compared to usual care for severe obesity which is particularly relevant in the COVID-19 era. Most prior studies involved the Roux-en-Y gastric bypass (RYGB) operation and there is less long-term data on the sleeve gastrectomy (SG). Methods In this retrospective, matched cohort study, patients with a body mass index ≥35 kg/m2 who underwent bariatric surgery from January 2005 to September 2015 in three integrated health systems in the United States were matched to nonsurgical patients on site, age, sex, body mass index, diabetes status, insulin use, race/ethnicity, combined Charlson/Elixhauser comorbidity score, and prior health care utilization, with follow-up through September 2015. Each procedure (RYGB, SG) was compared to its own control group and the two surgical procedures were not directly compared to each other. Multivariable-adjusted Cox regression analysis investigated time to all-cause mortality (primary outcome) comparing each of the bariatric procedures to usual care. Secondary outcomes separately examined the incidence of cardiovascular-related death, cancer related-death, and diabetes related-death. Results Among 13,900 SG, 17,258 RYGB, and 87,965 nonsurgical patients, the 5-year follow-up rate was 70.9%, 72.0%, and 64.5%, respectively. RYGB and SG were each associated with a significantly lower risk of all-cause mortality compared to nonsurgical patients at 5-years of follow-up (RYGB: HR = 0.43; 95% CI: 0.35,0.54; SG: HR = 0.28; 95% CI: 0.13,0.57) Similarly, RYGB was associated with a significantly lower 5-year risk of cardiovascular- (HR = 0.27; 95% CI: 0.20, 0.37), cancer- (HR = 0.54; 95% CI: 0.39, 0.76), and diabetes-related mortality (HR = 0.23; 95% CI:0.15, 0.36). There was not enough follow-up time to assess 5-year cause-specific mortality in SG patients, but at 3-years follow up, there was significantly lower risk of cardiovascular- (HR = 0.33; 95% CI:0.19, 0.58), cancer- (HR = 0.26; 95% CI:0.11, 0.59), and diabetes-related (HR = 0.15; 95% CI:0.04, 0.53) mortality for SG patients. Conclusion This study confirms and extends prior findings of an association with better survival following bariatric surgery in RYGB patients compared to controls and separately demonstrates that the SG operation also appears to be associated with lower mortality compared to matched control patients with severe obesity that received usual care. These results help to inform the trade-offs between long-term benefits and risks of bariatric surgery.

Weight loss is an effective strategy for the management of hypertension, and bariatric surgery is the most effective weight loss and maintenance strategy for obesity. The importance of bariatric surgery in the long-term management of hypertension and which operation is most effective is less clear. We compared the effectiveness of vertical sleeve gastrectomy (VSG) and Roux-en-Y gastric bypass (RYGB) for remission and relapse of hypertension after surgery in the ENGAGE CVD cohort study (Effectiveness of Gastric Bypass Versus Gastric Sleeve for Cardiovascular Disease). Operations were done by 23 surgeons across 9 surgical practices. Hypertension remission and relapse were assessed in each year of follow-up beginning 30 days and up to 5 years postsurgery. We used a local instrumental variable approach to account for selection bias in the choice of VSG or RYGB. The study population included 4964 patients with hypertension at the time of surgery (n=3186 VSG and n=1778 RYGB). At 1 year, 27% of patients with RYGB and 28% of patients with VSG achieved remission. After 5 years, without accounting for relapse, 42% of RYGB and 43% of VSG patients had experienced hypertension remission. After accounting for relapse, only 17% of RYGB and 18% of VSG patients remained in remission 5 years after surgery. There were no statistically significant differences between VSG and RYGB for hypertension remission, relapse, or mean systolic and diastolic blood pressure at any time during follow-up.

OBJECTIVE To explore the built environment (BE) and weight change relationship by age, sex, and racial/ethnic subgroups in adults. METHODS Weight trajectories were estimated using electronic health records for 115,260 insured Kaiser Permanente Washington members age 18-64 years. Member home addresses were geocoded using ArcGIS. Population, residential, and road intersection densities and counts of area supermarkets and fast food restaurants were measured with SmartMaps (800 and 5000-meter buffers) and categorized into tertiles. Linear mixed-effect models tested whether associations between BE features and weight gain at 1, 3, and 5 years differed by age, sex, and race/ethnicity, adjusting for demographics, baseline weight, and residential property values. RESULTS Denser urban form and greater availability of supermarkets and fast food restaurants were associated with differential weight change across sex and race/ethnicity. At 5 years, the mean difference in weight change comparing the 3rd versus 1st tertile of residential density was significantly different between males (-0.49 kg, 95% CI: -0.68, -0.30) and females (-0.17 kg, 95% CI: -0.33, -0.01) (P-value for interaction = 0.011). Across race/ethnicity, the mean difference in weight change at 5 years for residential density was significantly different among non-Hispanic (NH) Whites (-0.47 kg, 95% CI: -0.61, -0.32), NH Blacks (-0.86 kg, 95% CI: -1.37, -0.36), Hispanics (0.10 kg, 95% CI: -0.46, 0.65), and NH Asians (0.44 kg, 95% CI: 0.10, 0.78) (P-value for interaction

While electronic health records data provide unique opportunities for research, numerous methodological issues must be considered. Among these, selection bias due to incomplete/missing data has received far less attention than other issues. Unfortunately, standard missing data approaches (e.g. inverse-probability weighting and multiple imputation) generally fail to acknowledge the complex interplay of heterogeneous decisions made by patients, providers, and health systems that govern whether specific data elements in the electronic health records are observed. This, in turn, renders the missing-at-random assumption difficult to believe in standard approaches. In the clinical literature, the collection of decisions that gives rise to the observed data is referred to as the data provenance. Building on a recently-proposed framework for modularizing the data provenance, we develop a general and scalable framework for estimation and inference with respect to regression models based on inverse-probability weighting that allows for a hierarchy of missingness mechanisms to better align with the complex nature of electronic health records data. We show that the proposed estimator is consistent and asymptotically Normal, derive the form of the asymptotic variance, and propose two consistent estimators. Simulations show that naïve application of standard methods may yield biased point estimates, that the proposed estimators have good small-sample properties, and that researchers may have to contend with a bias-variance trade-off as they consider how to handle missing data. The proposed methods are motivated by an on-going, electronic health records-based study of bariatric surgery.

OBJECTIVE: To compare acute care utilization and costs following sleeve gastrectomy (SG) and Roux-en-Y gastric bypass (RYGB). SUMMARY BACKGROUND DATA: Comparing post-bariatric emergency department (ED) and inpatient care use patterns could assist with procedure choice and provide insights about complication risk. METHODS: We used a national insurance claims database to identify adults undergoing SG and RYGB between 2008 and 2016. Patients were matched on age, gender, calendar-time, diabetes, and baseline acute care use. We used adjusted Cox proportional hazards to compare acute care utilization and two-part logistic regression models to compare annual associated costs (odds of any cost, and odds of high costs, defined as ≥80(th) percentile), between SG and RYGB, overall and within several clinical categories. RESULTS: The matched cohort included 4263 SG and 4520 RYGB patients. Up to 4 years after surgery, SG patients had slightly lower risk of ED visits (aHR: 0.90; 95% CI: 0.85,0.96) and inpatient stays (aHR: 0.80; 95% CI: 0.73,0.88), especially for events associated with digestive-system diagnoses (ED aHR: 0.68; 95% CI:0.62,0.75; inpatient aHR: 0.61; 95% CI: 0.53,0.72). SG patients also had lower odds of high ED and high total acute costs (e.g., year-1 acute costs aOR 0.77; 95% CI: 0.66,0.90) in early follow-up. However, observed cost differences decreased by years 3 and 4 (e.g., year-4 acute care costs aOR 1.10; 95% CI: 0.92,1.31). CONCLUSIONS: SG may have fewer complications requiring emergency care and hospitalization, especially as related to digestive system disease. However, any acute care cost advantages of SG may wane over time.

Objective: To determine whether selected features of the built environment can predict weight gain in a large longitudinal cohort of adults. Methods: Weight trajectories over a 5-year period were obtained from electronic health records for 115,260 insured patients aged 18–64 years in the Kaiser Permanente Washington health care system. Home addresses were geocoded using ArcGIS. Built environment variables were population, residential unit, and road intersection densities captured using Euclidean-based SmartMaps at 800-meter buffers. Counts of area supermarkets and fast food restaurants were obtained using network-based SmartMaps at 1,600, and 5,000-meter buffers. Property values were a measure of socioeconomic status. Linear mixed effects models tested whether built environment variables at baseline were associated with long-term weight gain, adjusting for sex, age, race/ethnicity, Medicaid insurance, body weight, and residential property values. Results: Built environment variables at baseline were associated with differences in baseline obesity prevalence and body mass index but had limited impact on weight trajectories. Mean weight gain for the full cohort was 0.06 kilograms at 1 year (95% CI: 0.03, 0.10); 0.64 kilograms at 3 years (95% CI: 0.59, 0.68), and 0.95 kilograms at 5 years (95% CI: 0.90, 1.00). In adjusted regression models, the top tertile of density metrics and frequency counts were associated with lower weight gain at 5 years follow-up compared to the bottom tertiles, though the mean differences in weight change for each follow-up year (1, 3, and 5) did not exceed 0.5 kilograms. Conclusion: Built environment variables that were associated with higher obesity prevalence at baseline had limited independent obesogenic power with respect to weight gain over time. Residential unit density had the strongest negative association with weight gain. Future work on the influence of built environment variables on health should also examine social context, including residential segregation and residential mobility.

OBJECTIVE: A retrospective cohort study investigated the association between having surgery and risk of mortality for up to five years and if this association was modified by incident End Stage Renal Disease (ESRD) during the follow-up period. SUMMARY BACKGROUND DATA: Mortality risk in individuals with pre-dialysis chronic kidney disease (CKD) is high and few effective treatment options are available. Whether bariatric surgery can improve survival in people with CKD is unclear. METHODS: Patients with class II and III obesity and pre-dialysis CKD stages 3 – 5 who underwent bariatric surgery between 1/1/2006 and 9/30/2015 (n = 802) were matched to patients who did not have surgery (n = 4,933). Mortality was obtained from state death records and ESRD was identified through state-based or healthcare system-based registries. Cox regression models were used to investigate the association between bariatric surgery and risk of mortality and if this was moderated by incident ESRD during the follow-up period. RESULTS: Patients were primarily women (79%), non-Hispanic White (72%), under 65 years old (64%), who had a BMI ≥ 40 kg/m(2) (59%), diabetes (67%) and hypertension (89%). After adjusting for incident ESRD, bariatric surgery was associated with a 79% lower 5-year risk of mortality compared to matched controls (HR = 0.21; 95% CI: 0.14-0.32; p < .001). Incident ESRD did not moderate the observed association between surgery and mortality (HR = 1.59; 95% CI 0.31-8.23; p = .58). CONCLUSIONS: Bariatric surgery is associated with a reduction in mortality in pre-dialysis patients regardless of developing ESRD. These findings are significant because patients with CKD are at relatively high risk for death with few efficacious interventions available to improve survival.

Missing data is common in electronic health records (EHR)-based obesity research. To avoid bias, it is critical to understand mechanisms that underpin missingness. We conducted a survey among bariatric surgery patients in three integrated health systems to (i) investigate predictors of disenrollment and (ii) examine differences in weight between disenrollees and enrollees at 5 years. We identified 2883 patients who had bariatric surgery between 11/2013 and 08/2014. Patients who disenrolled before their 5-year anniversary were invited to participate in a survey to ascertain reasons for disenrollment and current weight. Logistic regression was used to investigate predictors of disenrollment. Five-year percent weight change distributions were estimated using inverse-probability weighting to adjust for (un)availability of EHR weight data at 5 years among enrollees and survey (non-)response among disenrollees. Among 536 disenrolled patients, 104 (19%) completed the survey. Among 2347 patients who maintained enrollment, 384 (16%) had no weight measurement in the EHR near 5 years. Insurance, age, Hispanic ethnicity, and site predicted disenrollment. Disenrollees had slightly greater weight loss than enrollees. We found little evidence of weight loss differences by enrollment status. Collecting information through surveys can be an effective tool to investigate and adjust for missingness in EHR-based studies.

Background: The authors tested the efficacy of the “I-STAND” intervention for reducing sitting time, a novel and potentially health-promoting approach, in older adults with obesity. Methods: The authors recruited 60 people (mean age = 68 ± 4.9 years, 68% female, 86% White; mean body mass index = 35.4). The participants were randomized to receive the I-STAND sitting reduction intervention (n = 29) or healthy living control group (n = 31) for 12 weeks. At baseline and at 12 weeks, the participants wore activPAL devices to assess sitting time (primary outcome). Secondary outcomes included fasting glucose, blood pressure, and weight. Linear regression models assessed between-group differences in the outcomes. Results: The I-STAND participants significantly reduced their sitting time compared with the controls (–58 min per day; 95% confidence interval [–100.3, –15.6]; p = .007). There were no statistically significant changes in the secondary outcomes. Conclusion: I-STAND was efficacious in reducing sitting time, but not in changing health outcomes in older adults with obesity.

OBJECTIVE To compare the safety of sleeve gastrectomy and gastric bypass in a large cohort of commercially insured bariatric surgery patients from the IBM MarketScan claims database, while accounting for measurable and unmeasurable sources of selection bias in who is chosen for each operation. SUMMARY OF BACKGROUND DATA Sleeve gastrectomy has rapidly become the most common bariatric operation performed in the United States, but its longer-term safety is poorly described, and the risk of worsening gastroesophageal reflux requiring revision may be higher than previously thought. Prior studies comparing sleeve gastrectomy to gastric bypass are limited by low sample size (in randomized trials) and selection bias (in observational studies). METHODS Instrumental variables analysis of commercially insured patients in the IBM MarketScan claims database from 2011 to 2018. We studied patients undergoing bariatric surgery from 2012 to 2016. We identified re-interventions and complications at 30 days and 2 years from surgery using Comprehensive Procedural Terminology and International Classification of Disease (ICD)-9/10 codes. To overcome unmeasured confounding, we use the prior year's sleeve gastrectomy utilization within each state as an instrumental variable-exploiting variation in the timing of payers' decisions to cover sleeve gastrectomy as a natural experiment. RESULTS Among 38,153 patients who underwent bariatric surgery between 2012 and 2016, the share of sleeve gastrectomy rose from 52.6% (2012) to 75% (2016). At 2 years from surgery, patients undergoing sleeve gastrectomy had fewer re-interventions (sleeve 9.9%, bypass 15.6%, P < 0.001) and complications (sleeve 6.6%, bypass 9.6%, P = 0.001), and lower overall healthcare spending ($47,891 vs $55,213, P = 0.003), than patients undergoing gastric bypass. However, at the 2-year mark, revisions were slightly more common in sleeve gastrectomy than in gastric bypass (sleeve 0.6%, bypass 0.4%, P = 0.009). CONCLUSIONS AND RELEVANCE In a large cohort of commercially insured patients, sleeve gastrectomy had a superior safety profile to gastric bypass up to 2 years from surgery, even when accounting for selection bias. However, the higher risk of revisions in sleeve gastrectomy merits further exploration.

Background Opioid analgesics are often prescribed to manage pain after bariatric surgery, which may develop into chronic prescription opioid use (CPOU) in opioid-naive patients. Bariatric surgery may affect opioid use in those with or without presurgical CPOU. Objective To compare CPOU persistence and incidence in a large multisite cohort of veterans undergoing bariatric surgery (open Roux-en-Y gastric bypass, laparoscopic RYGB, or laparoscopic sleeve gastrectomy) and matched nonsurgical controls. Setting Veterans Administration hospitals. Methods In a retrospective cohort study, we matched 1117 surgical patients with baseline CPOU to 9531 nonsurgical controls, and 2822 surgical patients without CPOU at baseline to 26,392 nonsurgical controls using sequential stratification. CPOU persistence in veterans with baseline CPOU was estimated using generalized estimating equations by procedure type. CPOU incidence in veterans without baseline CPOU was estimated in Cox regression models by procedure type because postoperative pain, complications, and absorption may differ by procedure. Results In veterans with baseline CPOU, postsurgical CPOU declined over time for each surgical procedure; these trends did not differ between surgical patients and nonsurgical controls. In veterans without baseline CPOU, compared with nonsurgical controls, bariatric patients had higher CPOU incidence within 5 years after open Roux-en-Y gastric bypass (hazard ratio=1.19; 95% confidence interval: 1.06–1.34) or laparoscopic open Roux-en-Y gastric bypass (hazard ratio=1.22, 95% confidence interval: 1.06–1.41). Veterans undergoing laparoscopic sleeve gastrectomy had higher CPOU incidence 1 to 5 years after surgery (hazard ratio=1.28; 95% confidence interval: 1.05–1.56) than nonsurgical controls. Conclusions Bariatric surgery was associated with greater risk of CPOU incidence in patients without baseline CPOU but was not associated with greater CPOU persistence.

Summary Objective The purpose of this study was to model weight trajectories over a 5‐year time period (2012–2016) and their association with behavioural and psychosocial characteristics and health care–related experiences using data from the Patient Outcomes Research to Advance Learning (PORTAL) overweight/obesity cohort. Methods Weight trajectories for each eligible patient in the PORTAL overweight/obesity cohort (n = 2864) were identified first using growth modelling; trajectories were then grouped using a hierarchical cluster analysis. Weight trajectory clusters that emerged were compared on demographics, and predictors of cluster membership were examined. Clusters were also compared on responses to a survey assessing health behaviours, quality of life, and health care experience completed in 2015 by 49% of the total sample (n = 1391). Results Seven distinct weight trajectory clusters were identified: (a) significant weight loss then maintenance; (b) higher stable weight; (c) moderate stable weight; (d) steady weight loss then relapse; (e) weight gain then weight loss; (f) steady weight gain then maintenance; and (g) lower stable weight. Age, sex, race/ethnicity, and body mass index at baseline predicted patient's weight trajectory (P < .001). Over two thirds of patients maintained their weight over the 5‐year period. Significant weight loss then maintenance, weight gain then weight loss, and higher stable weight patients were more likely to report receiving weight counselling from their provider. Patients in the significant weight loss then maintenance and lower stable weight clusters were more likely to be physically active than the other clusters. Conclusion Findings suggest variability in patterns of weight change among adults with overweight or obesity who have access to health care and that these patterns differ on demographic, behavioural and psychosocial factors, and health care experience.

Older adults have higher sedentary behavior (SB), lower physical activity, and are particularly susceptible to negative impacts from the COVID-19 pandemic and associated public health restrictions. Pandemic impacts to SB and health, particularly via objective assessment, are not well documented in the literature. Here we described differences in SB, physical activity, and blood pressure (BP) for older adults before and during the pandemic. Baseline thigh-worn activPAL accelerometer and BP measurements from 95 participants enrolled in a SB intervention trial pre-pandemic were compared to 60 enrolled post-pandemic. We used linear regression models adjusted for demographic and health factors to estimate differences in sample means of SB measures and BP. The post-COVID sample was older (age 67 vs. 70), more female (60% vs. 72%), and included more individuals of color (21% vs. 32%). In fully adjusted models, systolic BP was statistically significantly higher in the post-COVID group (6.8, 95% CI: [0.3,13.3]). After adjustment, activPAL-measured and self-reported activity were non-significant but trended towards greater total sitting (0.4 hours [−0.3, 1.1]), fewer daily steps (−270 [−1078, 538]), and greater self-reported TV time (0.4 hours, [-0.3, 1.1]) post-COVID. Future analyses are warranted to better quantify these impacts and guide clinical care and future interventions.

Sleeve gastrectomy is the most widely used bariatric operation; however, its long-term safety is largely unknown.To compare the risk of mortality, complications, reintervention, and health care use 5 years after sleeve gastrectomy and gastric bypass.This retrospective cohort study included adult patients in a national Medicare claims database who underwent sleeve gastrectomy or gastric bypass from January 1, 2012, to December 31, 2018. Instrumental variables survival analysis was used to estimate the cumulative incidence of outcomes up to 5 years after surgery.Laparoscopic sleeve gastrectomy and laparoscopic Roux-en-Y gastric bypass.The main outcome was risk of mortality, complications, and reinterventions up to 5 years after surgery. Secondary outcomes were health care use after surgery, including hospitalization, emergency department (ED) use, and total spending.Of 95 405 patients undergoing bariatric surgery, 57 003 (60%) underwent sleeve gastrectomy (mean [SD] age, 57.1 [11.8] years), of whom 42 299 (74.2%) were women; 124 (0.2%) were Asian; 10 101 (17.7%), Black; 1951 (3.4%), Hispanic; 314 (0.6%), North American Native; 43 194 (75.8%), White; 534 (0.9%), of other race or ethnicity; and 785 (1.4%), of unknown race or ethnicity. A total of 38 402 patients (40%) underwent gastric bypass (mean [SD] age, 55.9 [11.7] years), of whom 29 050 (75.7%) were women; 109 (0.3%), Asian; 6038 (15.7%), Black; 1215 (3.2%), Hispanic; 278 (0.7%), North American Native; 29 986 (78.1%), White; 373 (1.0%), of other race or ethnicity; and 404 (1.1%), of unknown race or ethnicity. Compared with patients undergoing gastric bypass, at 5 years after surgery, patients undergoing sleeve gastrectomy had a lower cumulative incidence of mortality (4.27%; 95% CI, 4.25%-4.30% vs 5.67%; 95% CI, 5.63%-5.69%), complications (22.10%; 95% CI, 22.06%-22.13% vs 29.03%; 95% CI, 28.99%-29.08%), and reintervention (25.23%; 95% CI, 25.19%-25.27% vs 33.57%; 95% CI, 33.52%-33.63%). Conversely, patients undergoing sleeve gastrectomy had a higher cumulative incidence of surgical revision at 5 years (2.91%; 95% CI, 2.90%-2.93% vs 1.46%; 95% CI, 1.45%-1.47%). The adjusted hazard ratio (aHR) of all-cause hospitalization and ED use was lower for patients undergoing sleeve gastrectomy at 1 year (hospitalization, aHR, 0.83; 95% CI, 0.80-0.86; ED use, aHR, 0.87; 95% CI, 0.84-0.90) and 3 years (hospitalization, aHR, 0.94; 95% CI, 0.90-0.98; ED use, aHR, 0.93; 95% CI, 0.90-0.97) after surgery but similar between groups at 5 years (hospitalization, aHR, 0.99; 95% CI, 0.94-1.04; ED use, aHR, 0.97; 95% CI, 0.92-1.01). Total health care spending among patients undergoing sleeve gastrectomy was lower at 1 year after surgery ($28 706; 95% CI, $27 866-$29 545 vs $30 663; 95% CI, $29 739-$31 587), but similar between groups at 3 ($57 411; 95% CI, $55 239-$59 584 vs $58 581; 95% CI, $56 551-$60 611) and 5 years ($86 584; 95% CI, $80 183-$92 984 vs $85 762; 95% CI, $82 600-$88 924).In a large cohort of patients undergoing bariatric surgery, sleeve gastrectomy was associated with a lower long-term risk of mortality, complications, and reinterventions but a higher long-term risk of surgical revision. Understanding the comparative safety of these operations may better inform patients and surgeons in their decision-making.

OBJECTIVE Health system data were assessed for how well they can estimate obesity prevalence in census tracts. METHODS Clinical visit data were available from two large health systems (Kaiser Permanente Washington and University of Washington Medicine) in King County, Washington, as were census tract-level obesity prevalence estimates from the Behavioral Risk Factor Surveillance System (BRFSS). The health system data were geocoded to identify each patient's tract of residence, and the cross-sectional concordance between census tract-level obesity prevalence estimates computed from the two health systems in 2005 to 2006 and the concordance between University of Washington Medicine and BRFSS from 2012 to 2016 were assessed. RESULTS The spatial distribution of obesity was similar between the health systems (Spearman r = 0.63). The University of Washington Medicine estimates of rank order correlated well with BRFSS estimates (Spearman r = 0.85), though prevalence estimates from BRFSS were lower (mean obesity prevalence = 26% for University of Washington Medicine versus 20% for BRFSS, Wilcoxon rank sum test p < 0.001). Across all data sources, obesity was more prevalent in tracts with less educational attainment. CONCLUSIONS Health system clinical weight data can reliably replicate census tract-level spatial patterns in the ranking of obesity prevalence. Health system data may be an efficient resource for geographic obesity surveillance.

OBJECTIVE There are few studies testing the amount of weight loss necessary to achieve initial remission of type 2 diabetes mellitus (T2DM) following bariatric surgery and no published studies with use of weight loss to predict initial T2DM remission in sleeve gastrectomy (SG) patients. RESEARCH DESIGN AND METHODS With Cox proportional hazards models we examined the relationship between initial T2DM remission and percent total weight loss (%TWL) after bariatric surgery. Categories of %TWL were included in the model as time-varying covariates. RESULTS Of patients (N = 5,928), 73% were female; mean age was 49.8 ± 10.3 years and BMI 43.8 ± 6.92 kg/m2, and 57% had Roux-en-Y gastric bypass (RYGB). Over an average follow-up of 5.9 years, 71% of patients experienced initial remission of T2DM (mean time to remission 1.0 year). With 0–5% TWL used as the reference group in Cox proportional hazards models, patients were more likely to remit with each 5% increase in TWL until 20% TWL (hazard ratio range 1.97–2.92). When categories >25% TWL were examined, all patients had a likelihood of initial remission similar to that of 20–25% TWL. Patients who achieved >20% TWL were more likely to achieve initial T2DM remission than patients with 0–5% TWL, even if they were using insulin at the time of surgery. CONCLUSIONS Weight loss after bariatric surgery is strongly associated with initial T2DM remission; however, above a threshold of 20% TWL, rates of initial T2DM remission did not increase substantially. Achieving this threshold is also associated with initial remission even in patients who traditionally experience lower rates of remission, such as patients taking insulin.

BACKGROUND Privacy-protecting analytic approaches without centralized pooling of individual-level data, such as distributed regression, are particularly important for vulnerable populations, such as children, but these methods have not yet been tested in multi-center pediatric studies. METHODS Using the electronic health data from 34 healthcare institutions in the National Patient-Centered Clinical Research Network (PCORnet), we fit 12 multivariable-adjusted linear regression models to assess the associations of antibiotic use

OBJECTIVE To examine racial/ethnic disparities in the prevalence of diabetes and prediabetes by BMI category. RESEARCH DESIGN AND METHODS In a consortium of three U.S. integrated health care systems, 4,906,238 individuals aged ≥20 years during 2012–2013 were included. Diabetes and prediabetes were ascertained by diagnosis and laboratory results; antihyperglycemic medications were also included for diabetes ascertainment. RESULTS The age-standardized diabetes and prediabetes prevalence estimates were 15.9% and 33.4%, respectively. Diabetes but not prediabetes prevalence increased across BMI categories among all racial/ethnic groups (P for trend < 0.001). Racial/ethnic minorities reached a given diabetes prevalence at lower BMIs than whites; Hawaiians/Pacific Islanders and Asians had a diabetes prevalence of 24.6% (95% CI 24.1–25.2%) in overweight and 26.5% (26.3–26.8%) in obese class 1, whereas whites had a prevalence of 23.7% (23.5–23.8%) in obese class 2. The age-standardized prediabetes prevalence estimates in overweight among Hispanics (35.6% [35.4–35.7%]), Asians (38.1% [38.0–38.3%]), and Hawaiians/Pacific Islanders (37.5% [36.9–38.2%]) were similar to those in obese class 4 among whites (35.3% [34.5–36.0%]), blacks (36.8% [35.5–38.2%]), and American Indians/Alaskan Natives (34.2% [29.6–38.8%]). In adjusted models, the strength of association between BMI and diabetes was highest among whites (relative risk comparing obese class 4 with normal weight 7.64 [95% CI 7.50–7.79]) and lowest among blacks (3.16 [3.05–3.27]). The association between BMI and prediabetes was less pronounced. CONCLUSIONS Racial/ethnic minorities had a higher burden of diabetes and prediabetes at lower BMIs than whites, suggesting the role of factors other than obesity in racial/ethnic disparities in diabetes and prediabetes risk and highlighting the need for tailored screening and prevention strategies.

To compare the long-term risks of reintervention following sleeve gastrectomy (SG) and Roux-en-Y gastric bypass (RYGB) in a large surgical cohort.The use of SG has increased dramatically relative to RYGB for the treatment of obesity. However, long-term risks following SG compared with RYGB have not been adequately defined in a large population-based study.A retrospective longitudinal cohort study of all adult health-plan members undergoing SG or RYGB for obesity in a multistate integrated health care system from January 2005 through September 2015. The risks of nutritional, endoscopic, radiologic, and surgical reintervention as well as the overall risk of any reinterventions at 1, 3, and 5 years were identified using diagnosis and procedure codes from comprehensive electronic medical records.The study included 15,319 patients who underwent SG and 19,954 patients who underwent RYGB with a follow-up of 79.2%. The overall risk of any reintervention at 5 years was 21.3% for SG and 28.3% for RYGB (P0.0001). After adjustment, SG was associated with fewer reinterventions through 5 years than RYGB (hazard ratio, 0.78; 95% confidence interval, 0.74-0.84). When comparing subcategories, SG also had a lower risk of nutritional, endoscopic, radiologic, and surgical reinterventions when examined versus RYGB. The findings for risks of reinterventions were consistent across clinical subgroups.SG has significantly lower risk of reintervention in all categories studied when compared with RYGB at 5-year follow-up. The long-term safety profile of LSG compared with RYGB should be an essential part of the discussion in patient-centered decision making when choosing between bariatric procedure options.

This retrospective cohort study examined whether bariatric surgery is associated with reduced risk of breast cancer among pre- and postmenopausal women.Obesity is associated with increased risk of breast cancer, but the impact of weight loss on breast cancer risk has been difficult to quantify.The cohort included obese (body mass index ≥35 kg/m) patients enrolled in an integrated health care delivery system between 2005 and 2012 (with follow-up through 2014). Female bariatric surgery patients (N = 17,998) were matched on body mass index, age, study site, and comorbidity index to 53,889 women with no bariatric surgery. Kaplan-Meier curves and Cox proportional hazards models were used to examine incident breast cancer up to 10 years after bariatric surgery. Pre- and postmenopausal women were examined separately, and further classified by estrogen receptor (ER) status.The analysis included 301 premenopausal and 399 postmenopausal breast cancer cases. In multivariable adjusted models, bariatric surgery was associated with a reduced risk of both premenopausal (HR = 0.72, 95% CI, 0.54-0.94) and postmenopausal (HR = 0.55, 95% CI, 0.42-0.72) breast cancer. Among premenopausal women, the effect of bariatric surgery was more pronounced among ER-negative cases (HR = 0.36, 95% CI, 0.16-0.79). Among postmenopausal women, the effect was more pronounced in ER-positive cases (HR = 0.52, 95% CI, 0.39-0.70).Bariatric surgery was associated with a reduced risk of breast cancer among severely obese women. These findings have significant public health relevance because the prevalence of obesity continues to rise, and few modifiable breast cancer risk factors have been identified, especially for premenopausal women.

OBJECTIVE The aim of this work was to study weight loss and risk of cardiovascular disease (CVD) or death associated with longer-term phentermine use. METHODS Using electronic health record data, 13,972 adults were identified with a first phentermine fill in 2010 to 2015, creating exposure categories according to a patient's duration of use (referent: ≤ 3 months). Multivariable linear models were used to compare percent weight loss across categories at 6, 12, and 24 months, and Cox proportional hazards models were used to compare risk of composite CVD or death, up to 3 years after starting phentermine. RESULTS The cohort was 84% female and 45% white, with a mean (SD) baseline age 43.5 (10.7) years and BMI of 37.8 (7.2) kg/m2 . In multivariable models, longer-term users of phentermine experienced more weight loss; patients using continuously for > 12 months lost 7.4% more than the referent group at 24 months (P

To determine the impact of an intensive perioperative nutritional and lifestyle support protocol on long-term outcomes of bariatric surgery. A retrospective observational study was conducted of 955 patients who underwent gastric bypass surgery between 2005 and 2015. Patients were divided into two cohorts: (1) 2005 through August 2013: these 767 patients were required to participate in the intensive telephone-based nutritional support program from 8 weeks preoperative through 44 weeks postoperative; (2) after August 2013, the program was discontinued and 188 patients did not have intensive telephonic nutritional support. Inverse probability weighting was used to obtain weight loss estimates at 1 and 3 years postoperative. Time-to-event analyses were used to investigate hospitalization rates postoperative. Poisson models were used to investigate healthcare utilization. Patients who participated in the program exhibited 1.97% (95% CI 0.7, 3.3) greater %TWL at 1 year and 2.2% (95% CI −0.3, 4.1) greater %TWL at 3 years postoperative than patients who did not participate. Secondary analyses indicated participation in the program was associated with 44% shorter time to first hospitalization postoperative (p

There is limited Level-1 evidence from well-powered randomized controlled trials (RCTs) examining improved glycemic control after metabolic surgery in patients with type 2 diabetes (T2D) and obesity. ARMMS-T2D is a multi-center consortium conducting a follow-up study of 4 merged RCTs in 256 patients with baseline Class 1-3 obesity and T2D, randomly assigned to metabolic surgery (MS;Roux-en-Y gastric bypass, sleeve gastrectomy, or gastric banding) or intensive Medical/Lifestyle Intervention (MLI). Three years after randomization, T2D remission rates were higher after MS than MLI (37.5%, 60/160 vs. 2.6%, 2/76, respectively, P

To explore the built environment (BE) and weight change relationship by age, sex, and racial/ethnic subgroups in adults.Weight trajectories were estimated using electronic health records for 115,260 insured Kaiser Permanente Washington members age 18-64 years. Member home addresses were geocoded using ArcGIS. Population, residential, and road intersection densities and counts of area supermarkets and fast food restaurants were measured with SmartMaps (800 and 5000-meter buffers) and categorized into tertiles. Linear mixed-effect models tested whether associations between BE features and weight gain at 1, 3, and 5 years differed by age, sex, and race/ethnicity, adjusting for demographics, baseline weight, and residential property values.Denser urban form and greater availability of supermarkets and fast food restaurants were associated with differential weight change across sex and race/ethnicity. At 5 years, the mean difference in weight change comparing the 3rd versus 1st tertile of residential density was significantly different between males (-0.49 kg, 95% CI: -0.68, -0.30) and females (-0.17 kg, 95% CI: -0.33, -0.01) (P-value for interaction = 0.011). Across race/ethnicity, the mean difference in weight change at 5 years for residential density was significantly different among non-Hispanic (NH) Whites (-0.47 kg, 95% CI: -0.61, -0.32), NH Blacks (-0.86 kg, 95% CI: -1.37, -0.36), Hispanics (0.10 kg, 95% CI: -0.46, 0.65), and NH Asians (0.44 kg, 95% CI: 0.10, 0.78) (P-value for interaction0.001). These findings were consistent for other BE measures.The relationship between the built environment and weight change differs across demographic groups. Careful consideration of demographic differences in associations of BE and weight trajectories is warranted for investigating etiological mechanisms and guiding intervention development.

Purpose Obesity is a highly prevalent condition with severe clinical burden. Bariatric procedures are an important and expanding treatment option. This study compared short-(30-day composite adverse events) and long-term (intervention/operation, endoscopy, hospitalization, and mortality up to 5 years) safety outcomes associated with three bariatric surgical procedures. Materials and Methods This observational cohort study replicated an electronic health record study comparing short- and long-term problems associated with three bariatric surgical procedures between January 1, 2006, and September 30, 2015, within a Health Plan Research Network. Results Of 95,251 adults, 34,240 (36%) underwent adjustable gastric banding (AGB), 36,206 (38%) Roux-en-Y gastric bypass (RYGB), and 24,805 (26%) sleeve gastrectomy (SG). Median (interquartile range) years of follow-up was 3.3 (1.4–5.0) (AGB), 2.5 (1.0–4.6) (RYGB), and 1.1 (0.5–2.1) (SG). Overall mean (SD) age was 44.2 (11.4) years. The cohort was predominantly female (76%). Thirty-day composite adverse events occurred more frequently following RYGB (3.8%) than AGB (3.1%) and SG (2.8%). Operation/intervention was less likely in SG than in RYGB (adjusted hazard ratio (AHR), 0.87; 95%CI, 0.80–0.96; P=0.003), and more likely in AGB than in RYGB (AHR, 2.10; 95%CI, 2.00–2.21; PP<0.001; SG vs. RYGB, AHR=0.79; 95%CI, 0.76–0.83; PP=0.004; AGB vs. RYGB: AHR, 0.49; 95%CI, 0.43–0.56; P=0.001). Conclusions Interventions, operations, and hospitalizations were more often associated with AGB and RYGB than SG while RYGB had the lowest risk for revision. Graphical abstract

Importance Bariatric surgical procedures have been associated with increased risk of unhealthy alcohol use, but no previous research has evaluated the long-term alcohol-related risks after laparoscopic sleeve gastrectomy (LSG), currently the most used bariatric procedure. No US-based study has compared long-term alcohol-related outcomes between patients who have undergone Roux-en-Y gastric bypass (RYGB) and those who have not. Objective To evaluate the changes over time in alcohol use and unhealthy alcohol use from 2 years before to 8 years after a bariatric surgical procedure among individuals with or without preoperative unhealthy alcohol use. Design, Setting, and Participants This retrospective cohort study analyzed electronic health record (EHR) data on military veterans who underwent a bariatric surgical procedure at any of the bariatric centers in the US Department of Veterans Affairs (VA) health system between October 1, 2008, and September 30, 2016. Surgical patients without unhealthy alcohol use at baseline were matched using sequential stratification to nonsurgical control patients without unhealthy alcohol use at baseline, and surgical patients with unhealthy alcohol use at baseline were matched to nonsurgical patients with unhealthy alcohol use at baseline. Data were analyzed in February 2020. Interventions LSG (n = 1684) and RYGB (n = 924). Main Outcomes and Measures Mean alcohol use, unhealthy alcohol use, and no alcohol use were estimated using scores from the validated 3-item Alcohol Use Disorders Identification Test-Consumption (AUDIT-C), which had been documented in the VA EHR. Alcohol outcomes were estimated with mixed-effects models. Results A total of 2608 surgical patients were included in the final cohort (1964 male [75.3%] and 644 female [24.7%] veterans. Mean (SD) age of surgical patients was 53.0 (9.9) years and 53.6 (9.9) years for the matched nonsurgical patients. Among patients without baseline unhealthy alcohol use, 1539 patients who underwent an LSG were matched to 14 555 nonsurgical control patients and 854 patients who underwent an RYGB were matched to 8038 nonsurgical control patients. In patients without baseline unhealthy alcohol use, the mean AUDIT-C scores and the probability of unhealthy alcohol use both increased significantly 3 to 8 years after an LSG or an RYGB, compared with control patients. Eight years after an LSG, the probability of unhealthy alcohol use was higher in surgical vs control patients (7.9% [95% CI, 6.4-9.5] vs 4.5% [95% CI, 4.1-4.9]; difference, 3.4% [95% CI, 1.8-5.0])). Similarly, 8 years after an RYGB, the probability of unhealthy alcohol use was higher in surgical vs control patients (9.2% [95% CI, 8.0-10.3] vs 4.4% [95% CI, 4.1-4.6]; difference, 4.8% [95% CI, 3.6-5.9]). The probability of no alcohol use also decreased significantly 5 to 8 years after both procedures for surgical vs control patients. Among patients with unhealthy alcohol use at baseline, prevalence of unhealthy alcohol use was higher for patients who underwent an RYGB than matched controls. Conclusions and Relevance In this multi-site cohort study of predominantly male patients, among those who did not have unhealthy alcohol use in the 2 years before bariatric surgery, the probability of developing unhealthy alcohol use increased significantly 3-8 years after bariatric procedures compared with matched controls during follow-up.

Missing data is common in electronic health records (EHR)-based obesity research. To avoid bias, it is critical to understand mechanisms that underpin missingness. We conducted a survey among bariatric surgery patients in three integrated health systems to (i) investigate predictors of disenrollment and (ii) examine differences in weight between disenrollees and enrollees at 5 years.We identified 2883 patients who had bariatric surgery between 11/2013 and 08/2014. Patients who disenrolled before their 5-year anniversary were invited to participate in a survey to ascertain reasons for disenrollment and current weight. Logistic regression was used to investigate predictors of disenrollment. Five-year percent weight change distributions were estimated using inverse-probability weighting to adjust for (un)availability of EHR weight data at 5 years among enrollees and survey (non-)response among disenrollees.Among 536 disenrolled patients, 104 (19%) completed the survey. Among 2347 patients who maintained enrollment, 384 (16%) had no weight measurement in the EHR near 5 years. Insurance, age, Hispanic ethnicity, and site predicted disenrollment. Disenrollees had slightly greater weight loss than enrollees.We found little evidence of weight loss differences by enrollment status. Collecting information through surveys can be an effective tool to investigate and adjust for missingness in EHR-based studies.

INTRODUCTION: Colorectal cancer (CRC) incidence and mortality can be reduced by effective screening and/or treatment. However, the influence of health care systems on disparities among insured patients is largely unexplored. METHODS: To evaluate insured patients with CRC diagnosed between 2010 and 2014 across 6 diverse US health care systems in the Patient-Centered Outcomes Research Institute (PCORI) Patient Outcomes Research To Advance Learning (PORTAL) CRC cohort, we contrasted CRC stage; CRC mortality; all-cause mortality; and influences of demographics, stage, comorbidities, and treatment between health systems. RESULTS: Among 16,211 patients with CRC, there were significant differences between health care systems in CRC stage at diagnosis, CRC-specific mortality, and all-cause mortality. The unadjusted risk of CRC mortality varied from 27% lower to 21% higher than the reference system (hazard ratio [HR] = 0.73, 95% confidence interval = 0.66–0.80 to HR = 1.21, 95% confidence interval = 1.05–1.40; p < 0.01 across systems). Significant differences persisted after adjustment for demographics and comorbidities (p < 0.01); however, adjustment for stage eliminated significant differences (p = 0.24). All-cause mortality among patients with CRC differed approximately 30% between health care systems (HR = 0.89–1.17; p < 0.01). Adjustment for age eliminated significant differences (p = 0.48). DISCUSSION: Differences in CRC survival between health care systems were largely explained by stage at diagnosis, not demographics, comorbidity, or treatment. Given that stage is strongly related to early detection, these results suggest that variation in CRC screening systems represents a modifiable systems-level factor for reducing disparities in CRC survival.

PURPOSE: Bariatric surgery is the most effective treatment for severe obesity but currently only 1-2% of all eligible patients undergo surgery each year. This study examined which factors were associated with a patient receiving bariatric surgery after referral in a real-world healthcare setting. MATERIALS AND METHODS: The current study used the baseline survey and electronic medical record (EMR) data from the Bariatric Experience Long Term (BELONG) study (n = 1,975). Predictors of who did (n = 1,680) and who did not (n = 295) have surgery were analyzed using multivariate logistic regression. RESULTS: Participants (n = 1,975; 42.4% response rate) were primarily women (84%) and either non-Hispanic Black or Hispanic (60%). In the fully adjusted multivariate model, the strongest predictors of having surgery were being a woman (OR = 3.17; 95% CI = 2.15,4.68; p < .001) and losing at least 5% of their body weight in the year before surgery (OR = 3.16; 95% CI = 2.28,4.38; p < .001). The strongest predictors of not having surgery were a BMI ≥ 50 kg/m(2) (OR = .39; 95% CI = .27,.56; p < .001) and having a higher physical comorbidity burden (OR = .84; 95% CI = .75,.94; p = .004). CONCLUSIONS: Practices such as 5%-10% total weight loss before surgery and selection of patients with safer operative risk profiles (younger with lower comorbidity burden) may inadvertently contribute to under-utilization of bariatric surgery among some demographic subpopulations who could most benefit from this intervention.

Bariatric surgery is the most effective treatment for severe obesity (body mass index >40), helping individuals lose, on average, 25%–29% of their body weight over the first year. However, many patients begin to plateau and regain weight within 12–24 months, and 20% of patients begin to regain weight within 6 months postsurgery. As physical activity (PA) is an important predictor of weight loss and maintenance postsurgery, there is a need for scalable, effective lifestyle interventions to help bariatric patients increase PA in order to maximize their weight loss and maintenance. To assess feasibility of using mobile health (mHealth) tools to support PA postsurgery, we conducted a quality-improvement optimization pilot of BariFit, an mHealth intervention that combines commercial devices and custom text messages. Fifty-one bariatric patients enrolled in a 16-week optimization pilot of BariFit. To assess feasibility, pre–post changes in PA were assessed using activPAL. In addition, the pilot randomized, using a 2 × 2 factorial design, two adaptive approaches to daily step goals (variable and 60th percentile goals) and provision of rest days (yes/no), and microrandomized provision of SMS-delivered activity suggestions five times a day for each participant. Adherence to using study equipment was over 95% at 16 weeks. Participants increased PA by 1,866 steps from baseline to end-of-study (p < .007). Participants who received variable step goals averaged 1,141 more steps per day (p = .096) than those who received 60th percentile goals. Activity suggestions had no effect. mHealth interventions are feasible for supporting PA postbariatric surgery.

Background Obesity and inactivity are common and burdensome for people with lower extremity amputation (LEA). The extent to which home-based physical activity/weight management programs are effective and safe for people with LEA is unknown. Translating effective interventions for understudied disability groups is needed. Objective To test the feasibility, acceptability, and safety of a weight management and physical activity intervention and obtain preliminary efficacy estimates for changes in weight, body composition, and physical functioning. Methods Eligibility criteria included: LEA ≥1 year prior, 18–69 years of age, overweight or obese and living in the Seattle area. The intervention arm received self-monitoring tools (e.g., pedometer, scale) and written materials, a single exercise counseling home visit by a physical therapist, and up to 11 telephone calls from a health coach over 20 weeks that involved motivational interviewing to set specific, attainable, and measurable goals. The self-directed control group received the same tools and materials but no home visit or coaching calls. Results Nineteen individuals consented to participate, 15 were randomized (mean age = 56, 73% male, 80% transtibial amputation) and 11 completed 20-week follow-up assessments. The intervention was acceptable and safe. Coached participants had greater decreases in waist circumference (mean difference between groups over 20 weeks, baseline values carried forward: −4.3 cm, 95% CI -8.2, −0.4, p = 0.03) and fat mass (−2.1 kg, 95% CI -3.8, −0.4, p = 0.02). Conclusions The home-based intervention was promising in terms of efficacy, safety and acceptability. Inclusion of multiple trial centers and increased use of technology may facilitate recruitment and retention.