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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: 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.

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 population-based case-control study examined the risk of multiple myeloma in relation to socioeconomic status. Subjects included 689 cases with newly diagnosed multiple myeloma during 1977-1981 from four U.S. populations and 1,680 controls selected from residents of these same populations. We collected lifetime occupational histories and coded them according to the 1970 Duncan Socioeconomic Index and Nam-Powers Socioeconomic Status scores. We classified scores for the occupations held the longest, highest ever held, and held most recently into quartiles based on the distribution among controls. After adjusting for age group, race, and study site, risk of multiple myeloma was inversely associated with socioeconomic status scores in both men and women. Risk among persons in the lowest quartile of scores was 63% higher (95% confidence interval 21%-119%) than that among those in the highest quartile when the highest Nam-Powers score was used. Similar trends were evident for all three methods of classifying occupational history and for both Duncan and Nam-Power scores. These results changed little after removing from analyses occupations previously associated with increased risk. The occupation-based scores were stronger predictors of risk than years of education. As a proxy measure of occupational, environmental, or life-style factors, socioeconomic status may be a clue to etiologic factors for multiple myeloma.