Integrating metabolic syndrome (MetS) screening procedures into routine care remains challenging. Traditional anthropometric and body composition assessments, while useful, have drawbacks that limit their application. However, automated anthropometrics produced from smartphone scanning applications may offer a solution. This study aimed to determine whether smartphone-derived anthropometrics could effectively predict both MetS and its severity. A total of 281 participants underwent a MetS screening assessment to determine fasting blood pressure, lipids, glucose and waist circumference and completed a smartphone scanning assessment (MeThreeSixty®) to collect digital anthropometrics. Actual MetS classification and MetS severity (MetSindex), a continuous estimate of MetS progression, were determined using MetS screening data. Then, least absolute shrinkage and selection operator regression was used to develop a new MetSindex prediction equation in a subset of participants (n 226), which was subsequently tested in the remaining participants (n 55), and MetS classification was predicted from the retained variables using logistic regression. The following equation was produced: Smartphone-predicted MetSindex: −0·8880 + 0·1493(medication use = 1; 0 = no medication use) + 0·0089(weight) + 0·0079(bust circumf.) + 0·0140 (thigh circumf.) – 0·6247(appendage-to-trunk circumf. index), where medication use includes medications for hypertension, dyslipidaemia or hyperglycaemia. The newly developed MetSindex prediction model demonstrated equivalence with actual MetSindex and revealed acceptable agreement (R2:0·72; root mean squared error: 0·42; se of the estimate: 0·22) when evaluated in the testing sample (n 55), although proportional bias was observed (P < 0·001). Smartphone-predicted MetS classification demonstrated acceptable diagnostic performance with an accuracy of 92·7 % and an AUC of 0·89. Smartphone scanning applications can accurately assess MetS prevalence and severity, presenting new possibilities for health screening beyond clinical environments.

Dicamba-resistant soybean was developed and commercialized by Monsanto in 2016, and in recent years, barnyardgrass has become more troublesome for growers who use residual herbicides with dicamba technology. Field studies were conducted from 2019 to 2021 in Stoneville, Mississippi, to evaluate barnyardgrass control after applications of glyphosate or glyphosate + dicamba, when mixed with residual herbicides, and when applied sequentially. In the first field study, glyphosate (1,120 g ae ha−1) and glyphosate + dicamba (560 g ae ha−1) were applied in combination with common residual herbicides. The second field study included an initial treatment with glyphosate (1,120 g ha−1), glyphosate + dicamba (560 g ha−1), and glyphosate + dicamba + S-metolachlor (1,064 g ai ha−1) followed by a sequential treatment of glyphosate or glyphosate + dicamba at 3 and 7 d after an initial herbicide treatment. Results indicated that glyphosate alone provided greater barnyardgrass control than glyphosate + dicamba. Additionally, at 28 d after treatment, pyroxasulfone, pyroxasulfone + fluthiacet, dimethenamid-P, and S-metolachlor did not affect postemergence control of barnyardgrass after glyphosate + dicamba treatments. Furthermore, sequential herbicide treatments of glyphosate or glyphosate + dicamba led to no difference in barnyardgrass control 28 d after the sequential treatment. These results indicate that options exist for adding residual herbicides to glyphosate + dicamba treatments and that sequential treatments of glyphosate or glyphosate + dicamba are important for optimizing barnyardgrass control.

Florpyrauxifen-benzyl is a postemergence rice herbicide that has reduced rice yield in some situations, and producers are concerned that the impact could be even greater with low rice seeding densities. Therefore, research was conducted in Stoneville, MS, from 2019 to 2021, to evaluate the effect of florpyrauxifen-benzyl on rice yield when a hybrid was seeded at reduced densities. Rice cultivar FullPage RT 7521 FP was seeded at 10, 17, 24, 30, and 37 kg ha−1. At the 4-leaf to 1-tiller growth stage, florpyrauxifen-benzyl was applied at 0 or 58 g ai ha−1. Rice injury following application of florpyrauxifen-benzyl was ≤8% across all seeding rates and evaluation intervals. Application of florpyrauxifen-benzyl reduced plant heights by 14% to all seeding rates but did not result in delayed rice maturity. When florpyrauxifen-benzyl was not applied to rice that was seeded at 10 and 17 kg ha−1 seeding rates, rice matured slower than when it was seeded at 24, 30, and 37 kg ha−1. When florpyrauxifen-benzyl was applied, rough rice grain yields were reduced by at the 17 and 37 kg ha−1 seeding rates, but not at any other seeding rate. In conclusion, application of florpyrauxifen-benzyl at a 2× rate can cause a loss of yield resulting from variation in rice densities.

Norm-based accounts of social behavior in economics typically reflect tradeoffs between maximization of own consumption utility and conformity to social norms. Theories of norm-following tend to assume that there exists a single, stable, commonly known injunctive social norm for a given choice setting and that each person has a stable propensity to follow social norms. We collect panel data on 1468 participants aged 11–15 years in Belfast, Northern Ireland and Bogotá, Colombia in which we measure norms for the dictator game and norm-following propensity twice at 10 weeks apart. We test these basic assumptions and find that norm-following propensity is stable, on average, but reported norms show evidence of change. We find that individual-level variation in reported norms between people and within people across time has interpretable structure using a series of latent transition analyses (LTA) which extend latent class models to a panel setting. The best fitting model includes five latent classes corresponding to five sets of normative beliefs that can be interpreted in terms of what respondents view as “appropriate” (e.g. equality vs. generosity) and how they view deviations (e.g. deontological vs. consequentialist). We also show that a major predictor of changing latent classes over time comes from dissimilarity to others in one’s network. Our application of LTA demonstrates how researchers can engage with heterogeneity in normative perceptions by identifying latent classes of beliefs and deepening understanding of the extent to which norms are shared, stable, and can be predicted to change. Finally, we contribute to the nascent experimental literature on the economic behavior of children and adolescents.

The diets of children in the UK are suboptimal(1), which may influence their immediate and future health and well-being(2). Schools offer convenient and prolonged access to children from diverse backgrounds, thus interventions within this setting have been suggested as a means to promote diet and health outcomes among this population(3). This study explored the effects of Project Daire(4), a school-based food intervention, on children’s diet diversity and diet quality as well as their attitudes towards health behaviours.

A factorial design cluster randomized controlled trial was conducted. Fifteen primary schools in Northern Ireland were randomized into one of four 6-month intervention arms: Nourish, Engage, Nourish and Engage or Control (Delayed). The Nourish intervention modified the school food environment, provided food-related experiences and increased access to local foods. The Engage intervention included educational activities on nutrition, food and agriculture. Data on food consumption at home, school and/or in total over a 24-hour period were collected using ageappropriate food frequency questionnaires at baseline, with follow-up at 6-months. Diet diversity score (DDS) and diet quality score (DQS) were developed based on adherence to the Eatwell Guide. Additionally, a Health Attitudes and Behaviour measure assessed 10-11 year old children’s attitudes towards importance of various health behaviours at both time points. Linear and logistic regression models were used to examine intervention effects and to account for school clustering.

A total of 445 children aged 6-7 and 458 aged 10-11 years old completed the trial. Results indicated that children aged 10-11 year old who received the Nourish intervention demonstrated higher school DDS (adjusted mean difference=2.79, 95% CI 1.40 – 4.19; p = 0.001) and total DDS (adjusted mean difference=1.55, 95% CI 0.66 – 2.43, p = 0.002) compared to their counterparts who did not. Subgroup analyses revealed that the increases in school DDS among 10-11 year old children in the Nourish group were apparent in both boys and girls (Boys: adjusted mean difference=2.4 95% CI 0.1 – 4.7, p = 0.04; Girls: adjusted mean difference=3.1 95% CI 1.6 – 4.6, p = 0.001). However, the increase in total DDS remained statistically significant only among girls, with an adjusted mean difference of 1.9 (95% CI 1.1-2.7, p<0.001). No statistically significant changes in DQS were detected in either age group. High levels of positive attitudes towards health behaviours were observed at baseline, with no clinically significant effects of either the Nourish or Engage interventions detected during the follow-up period.

The multi-component approach of the Nourish intervention, addressing both food provision and environment, showed promise in promoting diet diversity. Further research is warranted to develop sustainable implementation strategies for Daire, to explore additional intervention components to impact other outcomes, including diet quality, and to evaluate long-term effectiveness.

The aim of this study was to explore the perspectives of older medicinal cannabis consumers and those advising them on older Canadians’ experiences accessing cannabis and information about it, as well as how stigma may influence their experiences. A concurrent triangulation mixed methods design was used. The design was qualitatively driven and involved conducting semi-structured interviews with older adults and advisors and developing a survey for older adults. We used a Qualitative Descriptive approach for the analysis of qualitative data and descriptive statistics for quantitative survey data. Findings demonstrate that many older adults are accessing information about cannabis for medical purposes from retailers, either because they are reticent to talk to their healthcare professionals or were rebuffed when bringing up the subject. We recommend cannabis education be required for healthcare professionals working with older persons and that future research examines their perspectives on medicinal cannabis and older adults.

In the radiation hydrodynamic simulations used to design inertial confinement fusion (ICF) and pulsed power experiments, nonlinear radiation diffusion tends to dominate CPU time. This raises the interesting question of whether a quantum algorithm can be found for nonlinear radiation diffusion which provides a quantum speedup. Recently, such a quantum algorithm was introduced based on a quantum algorithm for solving systems of nonlinear partial differential equations (PDEs) which provides a quadratic quantum speedup. Here, we apply this quantum PDE (QPDE) algorithm to the problem of a non-equilibrium Marshak wave propagating through a cold, semi-infinite, optically thick target, where the radiation and matter fields are not assumed to be in local thermodynamic equilibrium. The dynamics is governed by a coupled pair of nonlinear PDEs which are solved using the QPDE algorithm, as well as two standard PDE solvers: (i) Python's py-pde solver; and (ii) the KULL ICF simulation code developed at Lawrence-Livermore National Laboratory. We compare the simulation results obtained using the QPDE algorithm and the standard PDE solvers and find excellent agreement.

The ASACUSA (atomic spectroscopy and collisions using slow antiprotons) Cusp experiment requires the production of dense positron plasmas with a high repetition rate to produce a beam of antihydrogen. In this work, details of the positron production apparatus used for the first observation of the antihydrogen beam, and subsequent measurements, are described in detail. This apparatus replaced the previous compact trap design resulting in an improvement in the positron accumulation rate by a factor of $52\pm 3$.

Methods for reducing the radius, temperature and space charge of a non-neutral plasma are usually reported for conditions which approximate an ideal Penning Malmberg trap. Here, we show that (i) similar methods are still effective under surprisingly adverse circumstances: we perform strong drive regime (SDR) compression and SDREVC in a strong magnetic mirror field using only 3 out of 4 rotating wall petals. In addition, we demonstrate (ii) an alternative to SDREVC, using e-kick instead of evaporative cooling (EVC) and (iii) an upper limit for how much plasma can be cooled to $T<20\ \mathrm {K}$ using EVC. This limit depends on the space charge, not on the number of particles or the plasma density.

Background: Sex differences in treatment response to intravenous thrombolysis (IVT) are poorly characterized. We compared sex-disaggregated outcomes in patients receiving IVT for acute ischemic stroke in the Alteplase compared to Tenecteplase (AcT) trial, a Canadian multicentre, randomised trial. Methods: In this post-hoc analysis, the primary outcome was excellent functional outcome (modified Rankin Score [mRS] 0-1) at 90 days. Secondary and safety outcomes included return to baseline function, successful reperfusion (eTICI≥2b), death and symptomatic intracerebral hemorrhage. Results: Of 1577 patients, there were 755 women and 822 men (median age 77 [68-86]; 70 [59-79]). There were no differences in rates of mRS 0-1 (aRR 0.95 [0.86-1.06]), return to baseline function (aRR 0.94 [0.84-1.06]), reperfusion (aRR 0.98 [0.80-1.19]) and death (aRR 0.91 [0.79-1.18]). There was no effect modification by treatment type on the association between sex and outcomes. The probability of excellent functional outcome decreased with increasing onset-to-needle time. This relation did not vary by sex (pinteraction 0.42). Conclusions: The AcT trial demonstrated comparable functional, safety and angiographic outcomes by sex. This effect did not differ between alteplase and tenecteplase. The pragmatic enrolment and broad national participation in AcT provide reassurance that there do not appear to be sex differences in outcomes amongst Canadians receiving IVT.

This paper examines the legal and ethical aspects of traceback testing, a process in which patients who have been previously diagnosed with ovarian cancer are identified and offered genetic testing so that their family members can be informed of their genetic risk and can also choose to undergo testing. Specifically, this analysis examines the ethical and legal limits in implementing traceback testing in cases when the patient is deceased and can no longer consent to genetic testing.

Assessments of visceral adipose tissue (VAT) are critical in preventing metabolic disorders; however, there are limited measurement methods that are accurate and accessible for VAT. The purpose of this cross-sectional study was to evaluate the association between VAT estimates from consumer-grade devices and traditional anthropometrics and VAT and subcutaneous adipose tissue (SAT) from dual-energy X-ray absorptiometry (DXA). Data were collected from 182 participants (female = 114; White = 127; Black/African-American (BAA) = 48) which included anthropometrics and indices of VAT produced by near-infrared reactance spectroscopy (NIRS), visual body composition (VBC) and multifrequency BIA (MFBIA). VAT and SAT were collected using DXA. Bivariate and partial correlations were calculated between DXAVAT and DXASAT and other VAT estimates. All VAT indices had positive moderate–strong correlations with VAT (all P < 0·001) and SAT (all P < 0·001). Only waist:hip (r = 0·69), VATVBC (r = 0·84), and VATMFBIA (r = 0·86) had stronger associations with VAT than SAT (P < 0·001). Partial associations between VATVBC and VATMFBIA were only stronger for VAT than SAT in White participants (r = 0·67, P < 0·001) but not female, male, or BAA participants individually. Partial correlations for waist:hip were stronger for VAT than SAT, but only for male (r = 0·40, P < 0·010) or White participants (r = 0·48, P < 0·001). NIRS was amongst the weakest predictors of VAT which was highest in male participants (r = 0·39, P < 0·010) but non-existent in BAA participants (r = –0·02, P > 0·050) after adjusting for SAT. Both anthropometric and consumer-grade VAT indices are consistently better predictors of SAT than VAT. These data highlight the need for a standardised, but convenient, VAT estimation protocol that can account for the relationship between SAT and VAT that differs by sex/race.

Community-based physical activity programs, such as the Recreovía, are effective in promoting healthy behaviors in Latin America. To understand Recreovías’ challenges and scalability, we characterized its social network longitudinally while studying its participants’ social cohesion and interactions. First, we constructed the Main network of the program’s Facebook profile in 2013 to determine the main stakeholders and communities of participants. Second, we studied the Temporal network growth of the Facebook profiles of three Recreovía locations from 2008 to 2016. We implemented a Time Windows in Networks algorithm to determine observation periods and a scaling model of cities’ growth to measure social cohesion over time. Our results show physical activity instructors as the main stakeholders (20.84% nodes of the network). As emerging cohesion, we found: (1) incremental growth of Facebook users (43–272 nodes), friendships (55–2565 edges), clustering coefficient (0.19–0.21), and density (0.04–0.07); (2) no preferential attachment behavior; and (3) a social cohesion super-linear growth with 1.73 new friendships per joined user. Our results underscore the physical activity instructors’ influence and the emergent cohesion in innovation periods as a co-benefit of the program. This analysis associates the social and healthy behavior dimensions of a program occurring in natural environments under a systemic approach.

Evidence suggests that dietary intake of UK children is currently suboptimal. It is therefore imperative to identify effective and sustainable methods of improving dietary habits and knowledge in this population, whilst also promoting the value of healthiness of food products beyond price. Schools are ideally placed to influence children's knowledge and health, and Project Daire, in partnership with schools, food industry partners and stakeholders, aims to improve children's knowledge of, and interest in, food to improve health, wellbeing and educational attainment.

Daire is a randomised-controlled, factorial design trial evaluating two interventions. In total, n = 880 Key Stage (KS) 1 and 2 pupils have been recruited from 18 primary schools in the North West of Northern Ireland and will be randomised to one of four 6-month intervention arms: i) ‘Engage’, ii) ‘Nourish’, iii) ‘Engage’ and ‘Nourish’ and iv) Delayed. ‘Engage’ is an age-appropriate, cross-curricular educational intervention on food, agriculture, science and careers linked to the current curriculum. ‘Nourish’ is an intervention aiming to alter schools’ food environments and increase exposure to local foods. Study outcomes include food knowledge, attitudes, trust, diet, behaviour, health and wellbeing and will be collected at baseline and six months. Qualitative data on teacher/pupil opinions will also be collected. The intervention phase is currently ongoing. We present baseline results from our involvement and food attitudes measure from all participating schools. Results were compared by Key Stage and sex using Pearson Chi-Squared test.

Baseline results from our food involvement and attitudes measure are presented for n = 880 KS1 (n = 454) and KS2 (n = 426) pupils. KS1 pupils were more likely to always or sometimes help with food shopping (89.0%) whilst KS2 pupils were more likely to always or sometimes help with food preparation (69.0%). A higher proportion of KS1 pupils reported liking to try new foods (66.1%) and that it was important that food looked (64.5%), tasted (71.1%) and smelled good (60.6%) compared with KS2 children (P < 0.01). Girls were more likely to always or sometimes help with food shopping (96.2%) and preparation (73%) when compared with boys; whilst a higher proportion of girls reported they liked to try new foods (48.2%) and that it was important that food looked (68%) smelled (50.5%) and tasted (71.8%) good compared with boys (P < 0.01).

Results suggest that involvement in food preparation and shopping, willingness to try new foods and attitudes towards food presentation varied by KS and sex in this cohort.