Children consume too much sugar and not enough fruit and vegetables, increasing their risk of adverse health outcomes. Inhibitory control training (ICT) reduces children's and adults' intake of energy-dense foods in both laboratory and real-life settings. However, no studies have yet examined whether ICT can increase healthy food choice when energy-dense options are also available. We investigated whether a food-specific Go/No-Go task could influence the food choices of children aged 4-11, as measured by a hypothetical food choice task using healthy and unhealthy food images printed on cards. Participants played either an active game (healthy foods = 100% go, unhealthy foods = 100% no-go; Studies 1 & 2), a food control game (both healthy and unhealthy foods = 50% go, 50% no-go; Studies 1 & 2) or a non-food control game (sports equipment = 100% go, technology = 100% no-go; Study 2 only) followed by the choice task. In Study 2, food card choices were also measured before training to examine change in choices. A post-training real food choice task was added to check that choices made in the card-based task were representative of choices made when faced with real healthy and unhealthy foods. Overall, the active group chose the greatest number of healthy food cards. Study 2 confirmed that this was due to increases in healthy food card choice in this group only. Active group participants chose a greater number of healthy foods in the real food choice task compared to children in the non-food control group only. The results are discussed with reference to methodological issues and the development of future healthy eating interventions.

Background: The NHS Health Check (NHSHC) is a risk assessment for those aged 40-74 without a pre-existing condition in England, with the aim of preventing stroke, kidney disease, heart disease, type 2 diabetes and dementia. Uptake has been lower than anticipated. Ensuring that a high percentage of eligible patients receive a NHSHC is key to optimising the clinical and cost effectiveness of the programme. The aim of this systematic review is to highlight interventions and invitation methods that increase the uptake of NHSHCs, and to identify whether the effectiveness of these interact with broader patient and contextual factors. Method: A systematic review was conducted according to the PRISMA checklist. Papers were eligible if they explored the impact of at least one of (i) interventions, (ii) invitation methods or (iii) broader factors on NHSHC uptake. Ten databases were searched in January 2016 and seven were searched in March 2018. Nine-hundred-and-forty-five papers were identified, 238 were screened and 64 full texts were assessed for eligibility. Nine studies were included in the review. Results: The nine studies were all from peer reviewed journals. They included two randomised controlled trials, one observational cohort and six cross-sectional studies. Different invitation methods may be more effective for different groups of patients based on their ethnicity and gender. One intervention to enhance invitation letters effectively increased uptake but another did not. In addition, individual patient characteristics (such as age, gender, ethnicity and risk level) were found to influence uptake. This review also finds that uptake varies significantly by GP practice, which could be due either to unidentified practice-level factors or deprivation. Conclusions: Further research is needed to assess the effectiveness of different invitation methods for different population groups. Research should examine how existing invitation methods can be enhanced to drive uptake whilst reducing health inequalities. Trial registration: This systematic review was registered with PROSPERO on 22.02.2016. Registration number CRD42 016035626.

No abstract

BACKGROUND When pain management has been studied in settings such as pediatric emergency departments, racial disparities have been clearly identified. To our knowledge, this has not been studied in the pediatric perioperative setting. We sought to determine whether there are differences based on race in the administration of analgesia to children suffering from pain in the post anesthesia care unit. METHODS A prospective, observational, study of 771 children aged 4–17 years who underwent elective outpatient surgery. Racial differences in probability of receiving analgesia for pain in the recovery room were assessed using bivariable and multivariable logistic regression analyses. RESULTS A total of 294 children (38.2%) received at least one class of analgesia (opioid or non-opioid); while 210 (27.2%) received intravenous opioid analgesia in the recovery room. Overall post anesthesia care unit analgesia utilization was similar between white and minority children (whites 36.8% vs. minority children 43.4%, OR 1.3; 95% CI = 0.92–1.89; p=0.134). We found no significant difference by racial/ethnic group in the likelihood of a child receiving intravenous opioid for severe postoperative pain (whites 76.0% vs. 85.7%, OR 1.89; 95% CI = 0.37–9.67; p=0.437). However, minority children were more likely to receive intravenous opioid analgesia than their white peers (whites 24.5% vs. minority children 34.2%, OR 1.5; 95% CI = 1.04–2.2; p=0.03). On multivariable analysis, minority children had a 63% higher adjusted odds of receiving intravenous opioids in the recovery room (OR =1.63; 95% CI, 1.05–2.62; p=0.03). CONCLUSIONS Receipt of analgesia for acute postoperative pain was not significantly associated with a child’s race. Minority children were more likely to receive IV opioids for the management of mild pain.

Online supermarket platforms present an opportunity for encouraging healthier consumer purchases. A parallel, double‐blind randomised controlled trial tested whether promoting healthier products (e.g. lower fat and lower calorie) on the Sainsbury's online supermarket platform would increase purchases of those products. Participants were Nectar loyalty membership scheme cardholders who shopped online with Sainsbury's between 20th September and 10th October 2017. Intervention arm customers saw advertisement banners and recipe ingredient lists containing healthier versions of the products presented in control arm banners and ingredient lists. The primary outcome measure was purchases of healthier products. Additional outcome measures were banner clicks, purchases of standard products, overall purchases and energy (kcal) purchased. Sample sizes were small due to customers navigating the website differently than expected. The intervention encouraged purchases of some promoted healthier products (spaghetti [B = 2.10, p < 0.001], spaghetti sauce [B = 2.06, p < 0.001], spaghetti cheese [B = 2.45, p = 0.001], sour cream [B = 2.52, p < 0.001], fajita wraps [B = 2.10, p < 0.001], fajita cheese [B = 1.19, p < 0.001], bakery aisle products (B = 3.05, p = 0.003) and cola aisle products [B = 0.97, p < 0.002]) but not others (spaghetti mince, or products in the yogurt and ice cream aisles). There was little evidence of effects on banner clicks and energy purchased. Small sample sizes may affect the robustness of these findings. We discuss the benefits of collaborating to share expertise and implement a trial in a live commercial environment, alongside key learnings for future collaborative research in similar contexts.

Objective: This Strategic Behavioural Analysis aimed to: identify barriers and facilitators to healthcare professionals' implementation of MECC; code behavioural components of nationally delivered interventions to improve MECC implementation; assess the extent to which these components are theoretically congruent with identified theoretical domains representing barriers and facilitators. Comparing national interventions that aim to support implementation of behaviour change related activity to the barriers and facilitators for the target behaviour enables identification of opportunities being missed in practice thereby facilitating intervention optimisation. Methods: A mixed-methods study involving: a systematic review to identify barriers and facilitators to implementing MECC classified using the COM-B model and Theoretical Domains Framework (TDF); a content analysis of national interventions to improve MECC implementation in England using the Behaviour Change Wheel (BCW) and Behaviour Change Techniques Taxonomy (BCTTv1); linking intervention content to barriers identified in the systematic review. Results: Across 27 studies, the most frequently-reported barriers related to eight TDF domains: Environmental Context and Resources, Beliefs About Capabilities, Knowledge, Beliefs About Consequences, Intentions, Skills, Social Professional Role and Identity, Emotions. National interventions aimed at supporting MECC implementation included on average 5.1 BCW intervention functions (Education, Modelling, Persuasion, Training were used in all interventions) and 8.7 BCTs. Only 21% of BCTs potentially relevant to key domains were used across interventions. The majority of BCTs linked to seven of the eight most important domains were not used in any existing interventions. Conclusions: Intervention developers should seize missed opportunities by incorporating more theoretically relevant BCTs to target barriers to implementing MECC.

Food-specific inhibition training (FSIT) is a computerised task requiring response inhibition to energy-dense foods within a reaction-time game. Previous work indicates that FSIT can increase the number of healthy foods (relative to energy-dense foods) children choose, and decrease calories consumed from sweets and chocolate. Across two studies, we explored the impact of FSIT variations (e.g., different response signals, different delivery modes) on children’s food choices within a time-limited hypothetical food-choice task. In Study 1, we varied the FSIT Go/No-Go signals to be emotive (happy vs. sad faces) or neutral (green vs. red signs). One-hundred-and-fifty-seven children were randomly allocated to emotive-FSIT, neutral-FSIT, or a non-food control task. Children participated in groups of 4–15. No significant FSIT effects were observed on food choices (all values of p &gt; 0.160). Healthy-food choices decreased over time regardless of condition (p &lt; 0.050). The non-significant effects could be explained by lower accuracy on energy-dense No-Go trials than in previous studies, possibly due to distraction in the group-testing environment. In Study 2, we compared computer-based FSIT (using emotive signals) and app-based FSIT (using neutral signals) against a non-food control with a different sample of 206 children, but this time children worked one-on-one with the experimenter. Children’s accuracy on energy-dense No-Go trials was higher in this study. Children in the FSIT-computer group chose significantly more healthy foods at post-training (M = 2.78, SE = 0.16) compared to the control group (M = 2.02, SE = 0.16, p = 0.001). The FSIT-app group did not differ from either of the other two groups (M = 2.42, SE = 0.16, both comparisons p &gt; 0.050). Healthy choices decreased over time in the control group (p = 0.001) but did not change in the two FSIT groups (both p &gt; 0.300) supporting previous evidence that FSIT may have a beneficial effect on children’s food choices. Ensuring that children perform FSIT with high accuracy (e.g., by using FSIT in quiet environments and avoiding group-testing) may be important for impacts on food choices though. Future research should continue to explore methods of optimising FSIT as a healthy-eating intervention for children.

Background The eating habits of children and adults have been impacted by the COVID-19 pandemic, with evidence of increases in snacking and emotional eating, including eating to relieve boredom. We explored the experiences of families with children aged 4-8 years who had recently participated in a healthy eating pilot trial when the first national lockdown began in England. Methods Eleven mothers were interviewed in April and May 2020. Interview questions were developed based on the COM-B model of behaviour. Four main themes were constructed using inductive thematic analysis. Results The first theme related to an initial panic phase, in which having enough food was the primary concern. The second related to ongoing challenges during the lockdown, with sub-themes including difficulties accessing food, managing children's food requests and balancing home and work responsibilities. The perception that energy-dense foods met families' needs during this time led to increased purchasing of (and thus exposure to) energy-dense foods. In the third theme, families described a turning point, with a desire to eat a healthier diet than they had in the early stages of the lockdown. Finally, in the fourth theme, families reported a number of strategies for adapting and encouraging a balanced diet with their children. Conclusions Our results suggest that even if parents have the capability (e.g. knowledge) and motivation to provide a healthy diet for their family, opportunity challenges (e.g. time, access to resources, environmental stressors) mean this is not always practical. Healthy eating interventions should not assume parents lack motivation and should be sensitive to the context within which parents make feeding decisions.