Geographic Variation in Obesity at the State Level in the All of Us Research Program.

INTRODUCTION: National obesity prevention strategies may benefit from precision health approaches involving diverse participants in population health studies. We used cohort data from the National Institutes of Health All of Us Research Program (All of Us) Researcher Workbench to estimate population-level obesity prevalence. METHODS: To estimate state-level obesity prevalence we used data from physical measurements made during All of Us enrollment visits and data from participant electronic health records (EHRs) where available. Prevalence estimates were calculated and mapped by state for 2 categories of body mass index (BMI) (kg/m2): obesity (BMI >30) and severe obesity (BMI >35). We calculated and mapped prevalence by state, excluding states with fewer than 100 All of Us participants. RESULTS: Data on height and weight were available for 244,504 All of Us participants from 33 states, and corresponding EHR data were available for 88,840 of these participants. The median and IQR of BMI taken from physical measurements data was 28.4 (24.4- 33.7) and 28.5 (24.5-33.6) from EHR data, where available. Overall obesity prevalence based on physical measurements data was 41.5% (95% CI, 41.3%-41.7%); prevalence of severe obesity was 20.7% (95% CI, 20.6-20.9), with large geographic variations observed across states. Prevalence estimates from states with greater numbers of All of Us participants were more similar to national population-based estimates than states with fewer participants. CONCLUSION: All of Us participants had a high prevalence of obesity, with state-level geographic variation mirroring national trends. The diversity among All of Us participants may support future investigations on obesity prevention and treatment in diverse populations.

Aspirin Treatment Effect and Association with PIK3CA Mutation in Breast Cancer: A Biomarker Analysis.

BACKGROUND: Studies suggest regular aspirin use decreases breast cancer (BRCA) risk, with high doses exerting an "anti-cancer" effect. Despite reports suggesting aspirin's protective role in BRCA, no findings on aspirin dose association(s) with treatment outcomes have been reported, nor have any molecular subtype associations by which aspirin influences outcomes been elucidated. To interrogate aspirin's effect and determine which populations may benefit from its use, we retrospectively explored data from 1227 patients with BRCA. In this population, 32 used high-dose aspirin (325 mg), 121 used low-dose aspirin (81 mg), and 1074 used no aspirin before and/or after diagnosis. PATIENTS AND METHODS: Several association tests were performed to examine the correlations of clinical variables and PIK3CA mutations from 45 patients with BRCA who used 81 mg of aspirin daily. Kaplan-Meyer survival curves and the log-rank test were utilized to compare survival outcome differences for aspirin dose, usage history, and PIK3CA mutation status. Cox proportional hazards models were used to compute the multivariate hazard ratio (HR) for death. RESULTS: Patients who regularly used high-dose aspirin (325 mg) had better survival outcomes than those who used low-dose aspirin (81 mg) (HR, 0.094; 95% confidence interval [CI], 0.014-0.62; P = .014). Patients who used aspirin post-diagnosis only achieved significant benefits in overall survival (HR, 0.082; 95% CI, 0.023-0.3; P = 1.39E-04). Also, a subgroup of patients in the low-dose, long-term aspirin group with a PIK3CA mutation showed a small beneficial effect (HR, 0.37; 95% CI, 0.04-3.25; P = .37). CONCLUSION: High-dose aspirin after diagnosis may confer BRCA treatment benefits. Future studies should assess the comprehensive mechanism of aspirin for the PIK3CA mutant subgroup in a large study.

Association of psychosocial factors with leukocyte telomere length among African Americans in the Jackson Heart Study.

Leukocyte telomere length (LTL) is a biomarker of cellular aging. African Americans report more stress than other groups; however, the association of psychosocial stressors with biological aging among African Americans remains unclear. The current study evaluated the association of psychosocial factors (negative affect and stressors) with LTL in a large sample of African American men and women (n = 2,516) from the Jackson Heart Study. Using multivariable linear regression, we examined the sex-specific associations of psychosocial factors (cynical distrust, anger in and out, depressive symptoms, negative affect summary scores, global stress, weekly stress, major life events, and stress summary scores) with LTL. Model 1 adjusted for demographics and education. Model 2 adjusted for model 1, smoking, alcohol intake, physical activity, diabetes, hypertension, and high-sensitivity C-reactive protein. Among women, high (vs. low) cynical distrust was associated with shorter mean LTL in model 1 (b = -0.12; p = 0.039). Additionally, high (vs. low) anger out and expressed negative affect summary scores were associated with shorter LTL among women after full adjustment (b = -0.13; p = 0.011; b = -0.12, p = 0.031, respectively). High levels of cynical distrust, anger out, and negative affect summary scores may be risk factors for shorter LTL, particularly among African-American women.