Theoretical models suggest that food-related visual attentional bias (AB) may be related to appetitive motivational states and individual differences in body weight; however, findings in this area are equivocal. We conducted a systematic review and series of metaanalyses to determine if there is a positive association between food-related AB and: (1.) body mass index (BMI) (number of effect sizes (k)=110), (2.) hunger (k=98), (3.) subjective craving for food (k=35), and (4.) food intake (k=44). Food-related AB was robustly associated with craving (r = .134 (95% CI .061, .208); p < .001), food intake (r = .085 (95% CI .038, .132); p < .001), and hunger (r = .048 (95% CI .016, .079); p = .003), but these correlations were small. Food-related AB was unrelated to BMI (r =.008 (95% CI-.020, .035); p = .583) and this result was not moderated by type of food stimuli, method of AB assessment, or the subcomponent of AB that was examined. Furthermore, in a betweengroups analysis (k = 22) which directly compared participants with overweight/obesity to healthy-weight control groups, there was no evidence for an effect of weight status on foodrelated AB (Hedge's g = 0.104, (95% CI-0.050, 0.258); p =.186). Taken together, these findings suggest that food-related AB is sensitive to changes in the motivational value of food, but is unrelated to individual differences in body weight. Our findings question the traditional view of AB as a trait-like index of preoccupation with food and have implications for novel theoretical perspectives on the role of food AB in appetite control and obesity.

Background Eating out is now common and food served out of the home is often of low nutritional quality. Kilocalorie (kcal) labelling of food and drink products sold in restaurant chains in the US is now mandatory, although in store kcal labelling practices among major UK restaurant and takeaway chains have not been examined. Methods During August 2018, we contacted, visited the website and/or retail outlets of major eating out and takeaway food chains in the UK, including full-service and fast-food restaurants, cafes and coffee shops, some of which had previously made a voluntary pledge to provide kcal labelling. We examined the proportion of chains providing kcal information to customers at point of choice in store and the extent to which kcal information provision adhered to labelling recommendations. We also examined the proportion of chains that did not have point of choice kcal labelling but were able to provide kcal information on request. The study protocol was pre-registered on the Open Science Framework. Results Of the 104 eligible chains, only a small minority (18 chains, 17%) provided in store kcal labelling. Of those that did, provision of kcal information tended not to adhere to recommended labelling practices. Of the 16 eligible chains that had previously committed to a voluntary public health pledge to provide point of choice kcal labelling, labelling did not meet recommendations and 4 (25%) did not provide kcal labelling. Of the 86 chains that did not provide kcal labelling in store, kcal information was available on request from 43 (50%) chains. Conclusions It is rare for eating out and takeaway chains in the UK to provide point of choice kcal labelling and when labelling is provided it does not adhere to recommended labelling practices. Chains that previously volunteered to provide kcal labelling as part of an industry and public health partnership do so inadequately. Voluntary policies have not resulted in adequate kcal labelling in the UK eating out of home sector. Electronic supplementary material The online version of this article (10.1186/s12889-019-7017-5) contains supplementary material, which is available to authorized users.

In 2004, Choe, Oxley, Sokal and Wagner established a tight connection between matroids and multiaffine real stable polynomials. Recently, Brändén used this theory and a polynomial coming from the Vámos matroid to disprove the generalized Lax conjecture.Here we present a 10-element extension of the Vámos matroid and prove that its basis generating polynomial is real stable (i.e. that the matroid has the half-plane property). We do this via large sums of squares computations and a criterion for real stability given by Wagner and Wei. Like the Vámos matroid, this matroid is not representable over any field and no power of its basis generating polynomial can be written as the determinant of a linear matrix with positive semidefinite Hermitian forms.

Contemporary theories predict that Inhibitory Control (IC) can be improved when rewards are available for successfully inhibiting. In non-clinical samples empirical research has demonstrated some support, however ‘null’ findings have also been published. The aim of this meta-analysis was to clarify the magnitude of the effect of reward on IC, and identify potential moderators. Seventy-three articles (contributing k = 80 studies) were identified from Pubmed, PsychInfo and Scopus, published between 1997 – 2020, using a systematic search strategy. A random effects meta-analysis was performed on effect sizes generated from IC tasks which included rewarded and non-rewarded inhibition trials. Moderator analyses were conducted on clinical samples (vs ‘healthy controls’), task type (Go/No-Go vs Stop Signal vs Flanker vs Simon vs Stroop vs Anti-Saccade), reward type (monetary vs points vs other), and age (adults vs children). The prospect of reward for successful inhibition significantly improved IC (SMD=0.429 (95% CI= 0.288, 0.570), I2=96.7%), compared to no reward conditions/groups. This finding was robust against influential cases and outliers. The significant effect was present across all IC tasks. There was no evidence the effect was moderated by type of reward, age or clinical samples. Moderator analyses did not resolve considerable heterogeneity. Findings suggest that IC is a transient state that fluctuates in response to motivations driven by reward. Future research might examine the potential of improving inhibitory control through rewards as a behavioural intervention.

Objective There is little consistency between commercial grade footwear brands for determining shoe sizing, and no universally accepted descriptors of common types or features of footwear. The primary aim of this research was to develop a footwear taxonomy about the agreed types of footwear commonly worn by children under the age of six. Secondary aims were to gain consensus of the common footwear features, when different types of footwear would be commonly worn, common terms for key footwear parts, and how movement at some of these footwear parts should be described. Materials and methods Opinions were collected through a three-round modified Delphi international online survey from parents, health professionals, researchers, and footwear industry professionals. The first survey displayed generic pictures about different footwear types and asked participants to provide a grouping term, when the footwear would be worn (for what type of activity) and any grouping features. The second and third rounds presented consensus and gathered agreement on statements. Results There were 121 participants who provided detailed feedback to open-ended questions. The final round resulted in consensus and agreement on the names of 14 different footwear types, when they are commonly worn and their common features. Participants also reached consensus and agreement on the terms heel counter to describe the back part of footwear and fixtures as the collective term for features allowing footwear adjustability and fastening. They also agreed on terms to quantify the flexibility at footwear sole (bend or twist) or the heel counter. Conclusion This first taxonomy of children’s footwear represents consensus amongst different stakeholders and is an important step in promoting consistency within footwear research. One shoe does not fit all purposes, and the recommendations from this work help to inform the next steps towards ensuring greater transparency and commonality with footwear recommendations.

Theoretical models suggest that food-related visual attentional bias (AB) may be related to appetitive motivational states and individual differences in body weight; however, findings in this area are equivocal. We conducted a systematic review and series of meta-analyses to determine if there is a positive association between food-related AB and: (1.) body mass index (BMI) (number of effect sizes (k)=110), (2.) hunger (k=98), (3.) subjective craving for food (k=35), and (4.) food intake (k=44). Food-related AB was robustly associated with craving (r = .134 (95% CI .061, .208); p &lt; .001), food intake (r = .085 (95% CI .038, .132); p &lt; .001), and hunger (r = .048 (95% CI .016, .079); p = .003), but these correlations were small. Food-related AB was unrelated to BMI (r =.008 (95% CI -.020, .035); p = .583) and this result was not moderated by type of food stimuli, method of AB assessment, or the subcomponent of AB that was examined. Furthermore, in a between-groups analysis (k = 22) which directly compared participants with overweight/obesity to healthy-weight control groups, there was no evidence for an effect of weight status on food-related AB (Hedge’s g = 0.104, (95% CI -0.050, 0.258); p =.186). Taken together, these findings suggest that food-related AB is sensitive to changes in the motivational value of food, but is unrelated to individual differences in body weight. Our findings question the traditional view of AB as a trait-like index of preoccupation with food and have implications for novel theoretical perspectives on the role of food AB in appetite control and obesity.

This paper presents an Italian peer mentoring programme implemented by second year undergraduate students (peer mentors) to support first years (mentees). The aim of the peer mentoring was to promote student community building and endorse active learning. We recruited 19 mentors and 32 mentees into the programme. Data was extracted through the use of semi-structed questionnaires, which were exposed to qualitative analysis. Peer mentors decided to implement their peer mentoring activities using Mobile Device Applications [MDA]. A qualitative content analysis was employed to evaluate student’s perception. Our findings suggest that students were satisfied with the adoption of MDA to foster active learning for, and community building between, undergraduate students. However, participants have highlighted criticisms and improvements.

Background Mental health services for adults, as they are currently configured, have been designed to provide predominantly community-based interventions. It has long been recognised that some patients have such significant clinical and/or risk needs that those needs cannot be adequately met within standard service delivery models, resulting in a pressing need to consider the best models for this group of people. This paper shares a protocol for a mixed methods study that aims to understand: the profile and history of service users described as having complex needs; the decision-making processes by clinicians that lead to complex needs categorisation; service users and carers experience of service use; and, associated economic impact. This protocol describes a comprehensive evaluation that aims to inform an evidence-based service delivery model for people with complex needs. Methods We will use a mixed methods design, combining quantitative and qualitative methods using in-depth descriptive and inferential analysis of patient records, written medical notes and in-depth interviews with service users, carers, and clinicians. The study will include five components: (1) a quantitative description and analysis of the demographic clinical characteristics of the patient group; (2) an economic evaluation of alternative patient pathways; (3) semi-structured interviews about service user and carer experiences; (4) using data from components 1–3 to co-produce vignettes jointly with relevant stakeholders involved in the care of service users with complex mental health needs; and, (5) semi-structured interviews about clinical decision-making by clinicians in relation to this patient group, using the vignettes as example case studies. Discussion The study’s key outcomes will be to: examine the resource use and cost-impact associated with alternative care pathways to the NHS and other sectors of the economy (including social care); explore patient health and non-health outcomes associated with alternative care pathways; and, gain an understanding of a complex service user group and how treatment decisions are made to inform consistent and person-centred future service delivery.