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BackgroundMost research has focused on definitions and predictors of successful aging. However, racial/ethnic minorities are often under represented in this research. Given that the U.S. population is aging and becoming more racially diverse, we examined correlates of "successful aging," as defined by physical functioning and overall quality of life (QOL), among racial/ethnic minority women aged 80 years and older in the Women's Health Initiative.MethodsParticipants included 1,924 racial/ethnic minority women (African Americans, Asian/Pacific Islanders, Hispanic/Latinos, and American Indian/Alaskan Natives) 80 years of age and older who are enrolled in the Women's Health Initiative and have physical functioning data after turning 80 years of age. Analysis of covariance was used to examine between and within group differences in physical functioning and selfrated overall QOL for African Americans, Asian/Pacific Islanders, and Hispanic/Latinos.ResultsWe found no significant differences in physical functioning between racial/ethnic minority groups in adjusted analyses. However, overall QOL was significantly different between racial/ethnic minority groups. Age, recreational physical activity, and overall selfrated health were independent correlates of physical functioning across racial/ethnic minority groups, whereas overall selfrated health was the only consistent correlate of overall QOL across the minority groups for the within minority group comparisons.ConclusionsBetween racial/ethnic minority group differences in physical functioning are largely explained by demographic, psychosocial, behavioral, and health-related variables. We found statistically significant differences in selfrated overall QOL between racial/ethnic minority groups.

ObjectiveMost clinical trials for systemic lupus erythematosus (SLE) study the efficacy and safety of investigational agents added to variable background immunosuppressants, which has resulted in high response rates in patients treated with placebo plus standard of care (SOC) plus rescue measures. This project compared the impact of different SOC treatments and disease variables on the outcomes of SLE trials.Material and methodsData were obtained from 981 patients receiving only SOC treatments in three nephritis and three general SLE trials to compare response and flare rates on the basis of the British Isles Lupus Assessment Group (BILAG) index, a measure common to all trials.ResultsFor subjects enrolled in general SLE trials (n=173), those receiving mycophenolate mofetil (MMF) had more severe baseline disease, included more patients of African descent, and were administered higher baseline steroid doses compared with those receiving azathioprine (AZA) or methotrexate (MTX). BILAG responses at week 12 were MMF 35%, AZA 49%, MTX 34%, and no immunosuppressant (NIS) 65%. At week 52, MMF response rates increased to 41% despite reducing the steroid doses, but fell in all others (p=0.07, adjusted for steroids). Patients with severe disease activity at baseline (SDAB) who were defined as ≥1 BILAG A (severe) organ score had lower response rates to AZA or MTX but higher rates to MMF or NIS. Interim flares were highest with MMF [flares/patient-year (pt-yr)]. For all flares, rates were as follows: AZA 1.24, MMF 1.87, MTX 1.42, and NIS 0.81 and severe flares were as follows: AZA 0.66, MMF 1.29, MTX: 1.20, and NIS 0.55. Interim flares occurred in 71% of MMF-endpoint responders, 54% of AZA, 50% of MTX, and 22% of NIS. Patients with SDAB had more flares than moderate patients in the MMF and MTX groups: MMF: 2.39 vs. 1.03 flares/pt-yr (p=0.01), MTX: 2.33 vs. 0.63 (p=0.0002), severe flares: 1.87 vs. 0.34 for MMF (p=0.0013), 2.13 vs. 0.40 for MTX (p

The criminalization of violence against women over the past forty years represents both social movement success and the paradoxical alignment of feminism with increasingly punitive carceral policies. This historical analysis of the shifting social movement field during its formative years from 1973 to 1986 refutes dominant social movement paradigms for understanding social movement cooptation and demobilization. The research interrogates the processes and mechanisms of contestation between social movement and the criminal justice system and, more broadly, relationships between civil society and the state. A closer focus at the historical construction of the anti-domestic violence social movement field during this period reveals the ways that the very dynamics of contestatory success generate the conditions for an expanding carceral state, eventually resulting in blurred boundaries between civil society and the state and the domination of the field by criminal justice institutions and carceral political logics. Through the analysis of semi-structured interviews of 57 social movement actors, governmental policymakers and criminal justice personnel and the extensive analysis of archival materials, this historical case study of California and Minnesota, early innovators of hallmark social movement strategies and institutions pursuing criminalization, contributes to feminist, criminological and social movement scholarship regarding the dynamics of social movement field development over time.

In non-inferiority (NI) trials with time-to-event data, different types and patterns of censoring may occur, but their impact on trial results is not entirely clear. We investigated the influence of informative and non-informative censoring by conducting extensive simulation studies under the assumption that the NI margin is defined as a maximum acceptable hazard ratio and scenarios typically observed in recent NI trials. We found that while non-informative censoring tends to only affect the power, informative censoring can impact the treatment effect estimates, type I error rate, and power. The magnitude of these effects depends on the between-group differences in the failure and informative censoring risks, as well as the correlation between censoring and failure times, among other factors. The adverse impact of informative censoring was generally decreased with larger NI margins. [ABSTRACT FROM AUTHOR]

Statistical approaches for estimating and drawing inference on the correlation between two biomarkers that are repeatedly assessed over time and subject to left-censoring because minimum detection levels are lacking. We propose a linear mixed-effects model and estimate the parameters with the Monte Carlo expectation maximization (MCEM) method. Inferences regarding the model parameters and the correlation between the biomarkers are performed by applying Louis's method and the delta method. Simulation studies were conducted to compare the proposed MCEM method with existing methods including the maximum likelihood estimation method, the multiple imputation method, and two widely used ad hoc approaches: replacing the censored values with the detection limit or with half of the detection limit. The results show that the performance of the MCEM with respect to relative bias and coverage probability for the 95% confidence interval is superior to the detection limit and half of the detection limit approaches and exceeds that of the multiple imputation method at medium to high levels of censoring, and the standard error estimates from the MCEM method are close to ideal. The maximum likelihood estimation method can estimate the parameters accurately; however, a nonpositive definite information matrix can occur so that the variances are not estimable. These five methods are illustrated with data from a longitudinal human immunodeficiency virus study to estimate and draw inference on the correlation between human immunodeficiency virus RNA levels measured in plasma and in cervical secretions at multiple time points.