Survey researchers increasingly recognize the need to update their gender questions to recognize the existence of transgender and nonbinary people. In this research note, we evaluate changes to the Canadian Election Study (CES) gender questions from 2019 to 2021. Our analyses suggest researchers should add “nonbinary” as a close-ended option and an open-ended response option to gender identity questions. They also suggest that researchers should not include “transgender” in a separate, mutually exclusive response option alongside men and women in gender identity questions but instead identify transgender men and women through a follow-up question. These recommendations can help guide the design of future surveys.

Making informed clinical decisions based on individualised outcome predictions is the cornerstone of precision psychiatry. Prediction models currently employed in psychiatry rely on algorithms that map a statistical relationship between clinical features (predictors/risk factors) and subsequent clinical outcomes. They rely on associations that overlook the underlying causal structures within the data, including the presence of latent variables, and the evolution of predictors and outcomes over time. As a result, predictions from sparse associative models from routinely collected data are rarely actionable at an individual level. To be actionable, prediction models should address these shortcomings. We provide a brief overview of a general framework for the rationale for implementing causal and actionable predictions using counterfactual explanations to advance predictive modelling studies, which has translational implications. We have included an extensive glossary of terminology used in this paper and the literature (Supplementary Box 1) and provide a concrete example to demonstrate this conceptually, and a reading list for those interested in this field (Supplementary Box 2).

Adolescence and young adulthood are sensitive developmental periods to environmental influences. Investigating pre-emptive measures against stressors, such as those associated with the COVID-19 pandemic, on mental health is crucial. We aimed to synthesize evidence on pre-pandemic resilience factors shaping youth mental health outcomes during this period. For this pre-registered systematic review, we searched seven databases for longitudinal studies of youth populations affected by the COVID-19 pandemic, assessing a priori defined resilience factors at the individual, family, or community level before the pandemic. Studies required validated mental health or wellbeing measures collected both before and during the pandemic. Study quality was assessed using the corresponding NIH Quality Assessment Tool. From 4,419 unique records, 32 studies across 12 countries were included, using 46 distinct resilience measures. Due to the heterogeneity of study designs, we applied a narrative synthesis approach, finding that resilience factors were generally associated with better mental health outcomes both prior to and during the pandemic. However, most factors did not mitigate pandemic-related mental health effects. Nonetheless, family-level resilience factors emerged as promising under specific conditions. Study quality was generally fair, with concerns in resilience assessment and sampling quality. Future research should prioritize rigorous study designs and comprehensive resilience assessments.

This article compares the Secretary General of the Elysée Palace and the US Chief of Staff, central political advisors to the French and US presidents. Our aim is twofold. Firstly, we identify the precise roles of these advisors. By mapping their respective powers, we demonstrate their importance in presidential decision-making. By examining what the French Elysée Secretary General and the US White House Chief of Staff have in common and how they differ, we develop a comparative understanding of the mechanisms of the presidentialization of political executives. We show that the similarities of the two offices are linked to the ongoing presidentialization of the French and American political systems, which, by giving greater power to heads of state, also strengthens their advisors. This commonality does not rule out marked differences between these officials, demonstrating that presidentialization takes distinct forms, reflecting distinct political cultures as well as different balances of power within each institutional system.

The post-World War II liberal international order coupled trade liberalization with a range of flanking measures, both outward-looking and inward-looking. This system, coupling domestic-level compensation with international-level flexibility, no longer functions as effectively as it once did. To consider how a renewed set of flanking policies might address, or even prevent, a backlash against trade liberalization, we explore why the earlier system (embedded liberalism plus temporarily tolerated relief) did not always function effectively. We note the challenges associated with generous domestic compensation schemes, especially in the face of capital mobility and fiscal pressures. We discuss the interstate tensions generated by the use of temporary relief measures, such as escape clauses and safeguards, and we also discuss how the expansion in membership of the multilateral trade system (and particularly the inclusion of countries with a greater array of economic institutions and factor endowments) exacerbates these challenges. Finally, we consider how the domestic politics of flanking policies could differ from those used in an earlier era.

New limit theory is provided for a wide class of sample variance and covariance functionals involving both nonstationary and stationary time series. Sample functionals of this type commonly appear in regression applications and the asymptotics are particularly relevant to estimation and inference in nonlinear nonstationary regressions that involve unit root, local unit root, or fractional processes. The limit theory is unusually general in that it covers both parametric and nonparametric regressions. Self-normalized versions of these statistics are considered that are useful in inference. Numerical evidence reveals interesting strong bimodality in the finite sample distributions of conventional self-normalized statistics similar to the bimodality that can arise in t-ratio statistics based on heavy tailed data. Bimodal behavior in these statistics is due to the presence of long memory innovations and is shown to persist for very large sample sizes even though the limit theory is Gaussian when the long memory innovations are stationary. Bimodality is shown to occur even in the limit theory when the long memory innovations are nonstationary. To address these complications, new self-normalized versions of the test statistics are introduced that deliver improved approximations that can be used for inference.

Disseminating data is a core mission of international organizations. The Bretton Woods Institutions (BWIs), in particular, have become a main data source for research and policy-making. Due to their extensive lending activities, the BWIs often find themselves in a position to assist and pressure governments to increase the amount of economic data that they provide. In this study, we explore the association between loans from the BWIs and an index of economic transparency derived from the data-reporting practices of governments to the World Bank. Using a matching method for causal inference with panel data complemented by a multilevel regression analysis, we examine, separately, loan commitments and disbursements from the IMF and the World Bank. The multilevel regression analysis finds a significant association between BWI loans and the improvement of economic transparency in all developing countries; the matching method identifies a causal effect in democracies.

Traditional approaches for evaluating the impact of scientific research – mainly scholarship (i.e., publications, presentations) and grant funding – fail to capture the full extent of contributions that come from larger scientific initiatives. The Translational Science Benefits Model (TSBM) was developed to support more comprehensive evaluations of scientific endeavors, especially research designed to translate scientific discoveries into innovations in clinical or public health practice and policy-level changes. Here, we present the domains of the TSBM, including how it was expanded by researchers within the Implementation Science Centers in Cancer Control (ISC3) program supported by the National Cancer Institute. Next, we describe five studies supported by the Penn ISC3, each focused on testing implementation strategies informed by behavioral economics to reduce key practice gaps in the context of cancer care and identify how each study yields broader impacts consistent with TSBM domains. These indicators include Capacity Building, Methods Development (within the Implementation Field) and Rapid Cycle Approaches, implementing Software Technologies, and improving Health Care Delivery and Health Care Accessibility. The examples highlighted here can help guide other similar scientific initiatives to conceive and measure broader scientific impact to fully articulate the translation and effects of their work at the population level.

Caribbean health research has overwhelmingly employed measures developed elsewhere and rarely includes evaluation of psychometric properties. Established measures are important for research and practice. Particularly, measures of stress and coping are needed. Stressors experienced by Caribbean people are multifactorial, as emerging climate threats interact with existing complex and vulnerable socioeconomic environments. In the early COVID-19 pandemic, our team developed an online survey to assess the well-being of health professions students across university campuses in four Caribbean countries. This survey included the Perceived Stress Scale, 10-item version (PSS-10) and the Brief Resilient Coping Scale (BRCS). The participants were 1,519 health professions students (1,144 females, 372 males). We evaluated the psychometric qualities of the measures, including internal consistency, concurrent validity by correlating both measures, and configural invariance using confirmatory factor analysis (CFA). Both scales had good internal consistency, with omega values of 0.91 for the PSS-10 and 0.81 for the BRCS. CFA suggested a two-factor structure of the PSS-10 and unidimensional structure of the BRCS. These findings support further use of these measures in Caribbean populations. However, the sampling strategy limits generalizability. Further research evaluating these and other measures in the Caribbean is desirable.

In the current study we evaluated an afterschool nutrition education programme, called Vetri Cooking Lab (VCL), for promoting healthy and diverse eating habits among at-risk children in the Greater Philadelphia area. To understand potential programme impacts, we conducted a longitudinal analysis of survey data collected before and after participation in VCL. Main study included cooking confidence, cooking knowledge, changes in dietary consumption behaviours, and changes in vegetable preferences. Participants included students in grades 3–11 enrolled in VCL during the 2018–19 school year at VCL sites (n = 60) throughout Philadelphia, PA, and Camden, NJ. Eligible participants completed surveys both before and after participating in the programme. We found that students’ confidence and knowledge increased (P < 0.001) after the cooking intervention. Knowledge and confidence were positively associated (r = 0.55; P < 0.001). Confidence was correlated with consumption behaviour changes (r = 0.18; P = 0.022). Confidence was positively associated with consumption changes in both our adjusted (OR = 1.81; P < 0.001) and unadjusted models (aOR = 1.88; P = 0.013). Compared to Black students, White students were more likely to report consumption changes (aOR = 5.83; P = 0.013). Hispanic/Latino participants and participants who spoke Spanish had nearly three times higher odds of consumption behaviour changes (Hispanic/Latino OR = 2.55; P = 0.007; Spanish OR = 3.04; P = 0.005). Student age and gender were not associated with behaviour changes. Our research demonstrates that programmes integrating practical cooking skills education along with nutrition, food, and cooking education can improve confidence and knowledge about healthy food choices amongst children driving an overall improvement in children’s eating habits.