The global food system puts enormous pressure on the environment. Managing these pressures requires understanding not only where they occur (i.e., where food is produced), but also who drives them (i.e., where food is consumed). However, the size and complexity of global supply chains make it difficult to trace food production to consumption. Here, we provide the most comprehensive dataset of bilateral trade flows of environmental pressures stemming from food production from producing to consuming nations. The dataset provides environmental pressures for greenhouse gas emissions, water use, nitrogen and phosphorus pollution, and the area of land/water occupancy of food production for crops and animals from land, freshwater, and ocean systems. To produce these data, we improved upon reported food trade and production data to identify producing and consuming nations for each food item, allowing us to match food flows with appropriate environmental pressure data. These data provide a resource for research on sustainable global food consumption and the drivers of environmental impact.

Background: Attitudes toward aging influence many health outcomes, yet their relationship with cognition and Alzheimer’s disease (AD) remains unknown. To better understand their impact on cognition and AD risk, we examined whether positive attitudes predict better cognition and diminished risk on AD biomarkers. Methods: A subsample of older adults with a family history of AD (n=54; women=39) from the McGill PREVENT-AD cohort participated in this study. Participants completed the Attitudes to Ageing Questionnaire (AAQ-24), providing three scores: psychosocial loss, psychological growth and physical change. Participants underwent cognitive testing (Rey Auditory Verbal Learning Test, RAVLT; Delis-Kaplan Executive Function System-Color Word Interference Test, D-KEFS-CWIT), and AD blood-based biomarker assessments (p-tau217, Aβ42/40). Regression models tested associations, adjusting for covariates (age, sex, education, depression, APOE4), and were Bonferroni corrected. Results: Positive attitudes were associated with better recall and recognition (RAVLT) and improved word reading, colour naming, switching, and inhibition (D-KEFS-CWIT) (p<0.00077), while negative attitudes showed the opposite pattern. Negative attitudes were correlated with lower Aβ42/40 ratios, while positive attitudes were linked to lower p-tau217 (p<0.0167). Conclusions: These findings demonstrate that positive attitudes predict better cognition and a lower risk profile for AD biomarkers, suggesting that life outlook may be an early disease feature or a risk factor.

Recent changes to US research funding are having far-reaching consequences that imperil the integrity of science and the provision of care to vulnerable populations. Resisting these changes, the BJPsych Portfolio reaffirms its commitment to publishing mental science and advancing psychiatric knowledge that improves the mental health of one and all.

Current clinical guidelines for people at risk of heart disease in Australia recommend nutrition intervention in conjunction with pharmacotherapy(1). However, Australians living in rural and remote regions have less access to medical nutritional therapy (MNT) provided by Accredited Practising Dietitians (APDs) than their urban counterparts(2). The aim of the HealthyRHearts study was to trial the delivery of MNT by APDs using telehealth to eligible patients of General Practitioners (GPs) located in small to large rural towns in the Hunter New England region(3) of New South Wales, Australia. The study design was a 12-month pragmatic randomised controlled trial. The key outcome was reduced total cholesterol. The study was place-based, meaning many of the research team and APDs were based rurally, to ensure the context of the GPs and patients was already known. Eligible participants were those assessed as moderate-to-high risk of CVD by their GP. People in the intervention group received five MNT consults (totalling two hours) delivered via telehealth by APDs, and also answered a personalised nutrition questionnaire to guide their priorities and to support personalised dietary behaviour change during the counselling. Both intervention and control groups received usual care from their GP and were provided access to the Australian Eating Survey (Heart version), a 242-item online food frequency questionnaire with technology-supported personalised nutrition reports that evaluated intake relative to heart healthy eating principles. Of the 192 people who consented to participate, 132 were eligible due to their moderate-to-high risk. Pre-post participant medication use with a registered indication(4) for hypercholesterolemia, hypertension and glycemic control were documented according to class and strength (defined daily dose: DDD)(5). Nine GP practices (with 91 participants recruited) were randomised to the intervention group and seven practices (41 participants) were randomised to control. Intervention participants attended 4.3 ± 1.4 out of 5 dietetic consultations offered. Of the132 people with baseline clinical chemistry, 103 also provided a 12-month sample. Mean total cholesterol at baseline was 4.97 ± 1.13 mmol/L for both groups, with 12-m reduction of 0.26 ± 0.77 for intervention and 0.28 ± 0.79 for control (p = 0.90, unadjusted value). Median (IQR) number of medications for the intervention group was 2 (1–3) at both baseline and 12 months (p = 0.78) with 2 (1–3) and 3 (2–3) for the control group respectively. Combined DDD of all medications was 2.1 (0.5–3.8) and 2.5 (0.75–4.4) at baseline and 12 months (p = 0.77) for the intervention group and 2.7 (1.5–4.0) and 3.0 (2.0–4.5) for the control group (p = 0.30). Results suggest that medications were a significant contributor to the management of total cholesterol. Further analysis is required to evaluate changes in total cholesterol attributable to medication prescription relative to the MNT counselling received by the intervention group.

Objectives/Goals: We will conduct a 12-week pilot randomized controlled trial (RCT) to test the feasibility, acceptability, and preliminary efficacy of a staged-intensity whole foods intervention on hemoglobin A1c (HbA1c) change in adults, diet quality change (via the 2020 healthy eating index [HEI-2020]) in adults and offspring, and diet adherence and social determinants of health (SDOH) considerations via focus groups. Methods/Study Population: In this two-arm, parallel RCT, 30 adults with prediabetes (25–59 years) and their offspring (6–18 years) will be randomized to receive the 1) 12-week whole foods intervention which includes a 2-week feeding period (all foods/recipies provided), a 6-week customizable feeding period (3 dinners/recipies weekly), and a 4-week maintenance period (no food/recipies). The control group will receive standard of care (i.e., single RD-led diet counseling session). Primary outcomes include feasibility (≥80% retention and completion of study outcome measures) and acceptability (≥75% adult self-reported diet satisfaction). Intervention effects include 1) HbA1c change at 12-weeks in adults and 2) adult/offspring HEI-2020 scores assessed via diet records. Focus groups will assess influences of SDOH on diet adherence. Results/Anticipated Results: We have received Institutional Review Board approval, and recruitment is planned for January 2025. We will enroll 30 families from the greater Nashville, TN area. An intent-to-treat analysis will be conducted to test the preliminary effects of the whole foods diet intervention on the 12-week change in HbA1c (adults only) and 2020-HEI diet quality scores during the intervention period (adults and offspring). Focus groups will be conducted to understand how individual and family needs/preferences and SDOH may be perceived barriers or facilitators of diet adherence. Data generated from this study will be used to guide a fully powered RCT of our whole foods intervention to assess long-term effects on additional diabetes and metabolic outcomes and assessment of SDOH influences to support long-term adherence. Discussion/Significance of Impact: A healthy diet pattern is an effective nonpharmacological solution to prevent T2D, but only if it can be maintained. A family-centered whole foods diet pattern that uses “food as medicine” and considers how individual and family needs/preferences, and SDOHs could be an effective and sustainable multigenerational solution to prevent T2D in families.

In the last few decades, the study of ordinal data in which the variable of interest is not exactly observed but only known to be in a specific ordinal category has become important. To emphasize that the problem is not specific to a specific discipline we will use the neutral term coarsened observation. For single-equation models estimation of the latent linear model by Maximum Likelihood (ML) is routine. But, for higher-dimensional multivariate models it is computationally cumbersome as estimation requires the evaluation of multivariate normal distribution functions on a large scale. Our proposed alternative estimation method, based on the Generalized Method of Moments (GMM), circumvents this multivariate integration problem. It can be implemented by repeated application of standard techniques and provides a simpler and faster approach than the usual ML approach. It is applicable to multiple-equation models with $K$-dimensional error correlation matrices and ${J}_k$ response categories for the kth equation. It also yields a simple method to estimate polyserial and polychoric correlations. Comparison of our method with the outcomes of the Stata ML procedure cmp yields estimates that are not statistically different, while estimation by our method requires only a fraction of the computing time.

Covert contraceptive use is a strategy to avoid unintended pregnancy. However, evidence regarding the multilevel factors linking past experiences of unintended pregnancy with covert contraceptive use is limited. The objective of this study was to identify the compositional and contextual factors associated with covert contraceptive use among women with a prior unintended pregnancy. Framed by the socio-ecological model, a cross-sectional study was conducted using data from Round 5 of the Performance Monitoring and Accountability 2020 project in Nigeria. Non-pregnant women aged 15–49 years who reported a previous mistimed or unwanted pregnancy were included (N = 1631). Multilevel logistic regression models with random intercepts were specified to investigate the relationship between covert contraceptive use and compositional and contextual factors. Approximately 4.54% (95% CI = 3.28–6.25) of women reported covert contraceptive use. At the individual level, having less than secondary education (aOR = 5.88, 95% CI = 1.20–28.72) and being single (aOR = 11.29, 95% CI = 2.93–43.56) were associated with higher odds of covert contraceptive use. There was no significant association between covert contraceptive use and the type of unintended pregnancy (mistimed: aOR = 3.13, 95% CI = 0.88–11.13). At the community level, living in a community with average poverty levels (aOR = 6.18, 95% CI = 1.18–32.55) and high exposure to family planning mass media (aOR = 6.84, 95% CI = 1.62–29.11) were associated with higher odds of covert contraceptive use. Measures of variation showed significant variation in covert contraceptive use across communities. Further research is warranted to better understand the underlying mechanisms in these observed associations and variations in covert contraceptive use among women following the experience of an unintended pregnancy. Additionally, there is a need to design family planning strategies that integrate community-level structures.

In Michigan, United States of America, where Asian parasitoids were released to manage emerald ash borer, Agrilus planipennis Fairmaire (Coleoptera: Buprestidae), we monitored four native parasitoids that also attack the invasive beetle – Atanycolus cappaerti Marsh and Strazanac, A. simplex (Cresson), and Spathius laflammei Provancher (all Hymenoptera: Braconidae), and Phasgonophora sulcata Westwood (Hymenoptera: Chalcididae) – using yellow pan traps and tree dissections. Adult A. cappaerti, followed by A. simplex, had the broadest seasonal activity, S. laflammei was captured primarily in the first half of the growing season, and P. sulcata was restricted to mid-summer. Adult abundances of native species varied among years but, except for P. sulcata, were never significantly lower than the established Asian emerald ash borer larval parasitoids, Tetrastichus planipennisi Yang (Hymenoptera: Eulophidae) and Spathius galinae Belokobylskij and Strazanac (Hymenoptera: Braconidae). Densities of emerald ash borer larvae parasitised by A. cappaerti or P. sulcata did not differ significantly from those of the two Asian species. Although adult A. simplex and S. laflammei were frequently captured, we did not confirm parasitisation of any emerald ash borer larvae by these two species, suggesting that they rarely attack emerald ash borer. We did not find any negative correlations between adult or immature parasitoid abundance of any parasitoid species, suggesting that any interspecific competition that may be occurring is negligible.

We propose a hierarchical Bayesian model for analyzing multi-site experimental fMRI studies. Our method takes the hierarchical structure of the data (subjects are nested within sites, and there are multiple observations per subject) into account and allows for modeling between-site variation. Using posterior predictive model checking and model selection based on the deviance information criterion (DIC), we show that our model provides a good fit to the observed data by sharing information across the sites. We also propose a simple approach for evaluating the efficacy of the multi-site experiment by comparing the results to those that would be expected in hypothetical single-site experiments with the same sample size.

From early on, infants show a preference for infant-directed speech (IDS) over adult-directed speech (ADS), and exposure to IDS has been correlated with language outcome measures such as vocabulary. The present multi-laboratory study explores this issue by investigating whether there is a link between early preference for IDS and later vocabulary size. Infants’ preference for IDS was tested as part of the ManyBabies 1 project, and follow-up CDI data were collected from a subsample of this dataset at 18 and 24 months. A total of 341 (18 months) and 327 (24 months) infants were tested across 21 laboratories. In neither preregistered analyses with North American and UK English, nor exploratory analyses with a larger sample did we find evidence for a relation between IDS preference and later vocabulary. We discuss implications of this finding in light of recent work suggesting that IDS preference measured in the laboratory has low test-retest reliability.

Accelerating COVID-19 Treatment Interventions and Vaccines (ACTIV) was initiated by the US government to rapidly develop and test vaccines and therapeutics against COVID-19 in 2020. The ACTIV Therapeutics-Clinical Working Group selected ACTIV trial teams and clinical networks to expeditiously develop and launch master protocols based on therapeutic targets and patient populations. The suite of clinical trials was designed to collectively inform therapeutic care for COVID-19 outpatient, inpatient, and intensive care populations globally. In this report, we highlight challenges, strategies, and solutions around clinical protocol development and regulatory approval to document our experience and propose plans for future similar healthcare emergencies.

This manuscript addresses a critical topic: navigating complexities of conducting clinical trials during a pandemic. Central to this discussion is engaging communities to ensure diverse participation. The manuscript elucidates deliberate strategies employed to recruit minority communities with poor social drivers of health for participation in COVID-19 trials. The paper adopts a descriptive approach, eschewing analysis of data-driven efficacy of these efforts, and instead provides a comprehensive account of strategies utilized. The Accelerate COVID-19 Treatment Interventions and Vaccines (ACTIV) public–private partnership launched early in the COVID-19 pandemic to develop clinical trials to advance SARS-CoV-2 treatments. In this paper, ACTIV investigators share challenges in conducting research during an evolving pandemic and approaches selected to engage communities when traditional strategies were infeasible. Lessons from this experience include importance of community representatives’ involvement early in study design and implementation and integration of well-developed public outreach and communication strategies with trial launch. Centralization and coordination of outreach will allow for efficient use of resources and the sharing of best practices. Insights gleaned from the ACTIV program, as outlined in this paper, shed light on effective strategies for involving communities in treatment trials amidst rapidly evolving public health emergencies. This underscores critical importance of community engagement initiatives well in advance of the pandemic.

The authors report on ancient DNA data from two human skeletons buried within the chancel of the 1608–1616 church at the North American colonial settlement of Jamestown, Virginia. Available archaeological, osteological and documentary evidence suggest that these individuals are Sir Ferdinando Wenman and Captain William West, kinsmen of the colony's first Governor, Thomas West, Third Baron De La Warr. Genomic analyses of the skeletons identify unexpected maternal relatedness as both carried the mitochondrial haplogroup H10e. In this unusual case, aDNA prompted further historical research that led to the discovery of illegitimacy in the West family, an aspect of identity omitted, likely intentionally, from genealogical records.

Nutrition smartphone apps have become a popular and readily accessible approach to improving dietary behaviour. Hypertension is often associated with a poor diet, and its prevalence is increasing in Saudi Arabia(1). The Dietary Approaches to Stop Hypertension (DASH) eating plan has been shown to reduce blood pressure in people with hypertension(2). A previous study identified two high-quality, safe, and potentially effective smartphone apps for managing hypertension: NOOM and DASH To TEN(3). This study aimed to explore the potential of these two DASH diet self- management apps for controlling blood pressure in the Saudi Arabian context.

Fifteen patients were recruited at King Abdullah bin Abdulaziz University Hospital in Riyadh, Saudi Arabia. Ten patients had hypertension, and five had prehypertension (mean age = 45). Patients were given the two apps and asked to try each for one week. Focus groups (n=4) were held at the end of the trial to understand the patient perceptions of the apps. Discussions were recorded, and the transcriptions were analysed using a thematic framework analysis(4).

The following four themes emerged:

1. 1. Managing hypertension through diet was perceived as important. Most patients reported that

   adhering to the DASH diet was challenging due to a lack of motivation and willpower,

   inadequate support from household members, and high prices for healthy food.

2. 2. The potential and current reach of dietary apps emerged as a main theme, and many

   comments related to patients’ belief that dietary apps could increase their motivation and awareness about the DASH diet. Barriers to the use of apps were also identified including their difficulty of use, a preference for dietetic monitoring, and cost.

3. 3. Interactive app functionality was identified as a key theme, as evidenced by comments about a straightforward sign-up process, an extensive food database for dietary self-monitoring, feedback, goal setting, and reminders, considered essential for diet adherence.

4. 4. A preference for the NOOM app emerged. Patients perceived the NOOM app more suitable in the Saudi context. Noom was deemed to support DASH self-management because it supports weight reduction, which helps lower blood pressure. NOOM was perceived as highly interactive, offering motivational reminders, feedback, realistic dietary plans, and a comprehensive food database. Patients made several recommendations for app improvement; these included Arabic language support, automatic calculation of sodium and potassium consumption, and lower cost. Patients also expressed a desire for training in the use of the app.

This qualitative analysis suggests that the NOOM app could be suitable for use with hypertensive patients in Saudi Arabia. Further research is needed to determine the feasibility and efficacy of long- term use of the NOOM app with a Saudi Arabia population.