In this article, we introduce the rwrmed package, which performs mediation analysis using the methods proposed by Wodtke and Zhou (2020, Epidemiology 31: 369–375). Specifically, rwrmed estimates interventional direct and indirect effects in the presence of treatment-induced confounding by fitting models for 1) the conditional mean of the mediator given the treatment and a set of baseline confounders and 2) the conditional mean of the outcome given the treatment, mediator, baseline confounders, and a set of treatment-induced confounders that have been residualized with respect to the observed past. Interventional direct and indirect effects are simple functions of the parameters in these models when they are correctly specified and when there are no unobserved variables that confound the treatment-outcome, treatment-mediator, or mediator-outcome relationships. When no treatment-induced confounders are specified, rwrmed produces natural direct and indirect effect estimates.

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Background and aims Journal metrics assess impact upon the research literature, and are now used to assess individual researchers in hiring and promotion decisions. This study compared the ranking of addiction journals according to eight widely used metrics; assessed the correlations between journal rankings; and assessed changes over time in metric scores. Methods Data pertaining to the 2020 scores on eight metrics for 43 journals were obtained and the top 20 ranking in each compared and the correlations between rankings assessed. The Impact Factor was employed to assess changes over time. Results Ignoring the two categorization systems used by some metrics, 31 journals appeared in at least one metric top 20 and 11 in all eight. The top rank in each was occupied by one of three journals. Three-quarters of the correlations between rankings were above 6.0. The number of journals with an Impact Factor rose from 23 in 1997 to 38 in 2020, and the journals added tended to focus on addictions other than alcohol and drugs or have a specific focus. Conclusions and discussion The results indicate a concentration of journals at the top of the metrics and moderate to strong agreement between them, but almost three-quarters of journals appeared in at least one metric. The longitudinal data reflect both a broadening and specialization of the addiction field. The study limitations include exclusion of some journals and metrics.

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Introduction: Associations across self-efficacy, social support, and multiple measures of physical activity (PA) have not been thoroughly explored in hospital employees. Methods: Validated surveys assessed psychosocial factors; the IPAQ-long assessed PA, and mixed-effects analyses examined relations between psychosocial variables and PA in 920 employees from 6 Texas hospitals. Results: At P <.05, self-efficacy was significantly associated with light (β = 1.67), moderate (β = 1.63), and vigorous (β = 2.78) leisure PA; with domestic PA (β = 1.64); and with moderate commute PA (β = 0.03). At P < .05, family social-support was significantly associated with light (β = 0.94), moderate (β = 0.63), and vigorous (β = .74) leisure PA; with moderate (β = 0.46) and vigorous (β = 1.24) occupation PA; with light (β = 0.58) and moderate (β = 0.20) commute PA; and with domestic PA (β = 1.18). At P < .05, social support from friends was significantly associated with light (β = 0.74), moderate (β = 0.58), and vigorous (β = .91) leisure PA; with moderate commute (β = 0.21); and with domestic PA (β = 0.82). Conclusion: Interventions must emphasize self-efficacy–building strategies and the role of family support to meaningfully impact PA behaviors in uniquethis unique population.