Tripolar concentric ring electrodes for capturing localised electroencephalography signals during sleep.

By design, tripolar concentric ring electrodes (TCRE) provide more focal brain activity signals than conventional electroencephalography (EEG) electrodes placed further apart. This study compared spectral characteristics and rates of data loss to noisy epochs with TCRE versus conventional EEG signals recorded during sleep. A total of 20 healthy sleepers (12 females; mean [standard deviation] age 27.8 [9.6] years) underwent a 9-h sleep study. Participants were set up for polysomnography recording with TCRE to assess brain activity from 18 sites and conventional electrodes for EEG, eyes, and muscle movement. A fast Fourier transform using multitaper-based estimation was applied in 5-s epochs to scored sleep. Odds ratios with Bonferroni-adjusted 95% confidence intervals were calculated to determine the proportional differences in the number of noisy epochs between electrode types. Relative power was compared in frequency bands throughout sleep. Linear mixed models showed significant main effects of signal type (p < 0.001) and sleep stage (p < 0.001) on relative spectral power in each power band, with lower relative spectral power across all stages in TCRE versus EEG in alpha, beta, sigma, and theta activity, and greater delta power in all stages. Scalp topography plots showed distinct beta activation in the right parietal lobe with TCRE versus EEG. EEG showed higher rates of noisy epochs compared to TCRE (1.3% versus 0.8%, p < 0.001). TCRE signals showed marked differences in brain activity compared to EEG, consistent with more focal measurements and region-specific differences during sleep. TCRE may be useful for evaluating regional differences in brain activity with reduced muscle artefact compared to conventional EEG.

Estimating vigilance from the pre-work shift sleep using an under-mattress sleep sensor.

Predicting vigilance impairment in high-risk shift work occupations is critical to help to reduce workplace errors and accidents. Current methods rely on multi-night, often manually entered, sleep data. This study developed a machine learning model for predicting vigilance errors based on a single prior sleep period, derived from an under-mattress sensor. Twenty-four healthy volunteers (mean [SD] age = 27.6 [9.5] years, 12 male) attended the laboratory on two separate occasions, 1 month apart, to compare wake performance and sleep under two different lighting conditions. Each condition occurred over an 8 day protocol comprising a baseline sleep opportunity from 10 p.m. to 7 a.m., a 27 h wake period, then daytime sleep opportunities from 10 a.m. to 7 p.m. on days 3-7. From 12 a.m. to 8 a.m. on each of days 4-7, participants completed simulated night shifts that included six 10 min psychomotor vigilance task (PVT) trials per shift. Sleep was assessed using an under-mattress sensor. Using extra-trees machine learning models, PVT performance (reaction times <500 ms, reaction, and lapses) during each night shift was predicted based on the preceding daytime sleep. The final extra-trees model demonstrated moderate accuracy for predicting PVT performance, with standard errors (RMSE) of 19.9 ms (reaction time, 359 [41.6]ms), 0.42 reactions/s (reaction speed, 2.5 [0.6] reactions/s), and 7.2 (lapses, 10.5 [12.3]). The model also correctly classified 84% of trials containing ≥5 lapses (Matthews correlation coefficient = 0.59, F1 = 0.83). Model performance is comparable to current fatigue prediction models that rely upon self-report or manually entered data. This efficient approach may help to manage fatigue and safety in non-standard work schedules.

Effects of traffic light labelling and increased healthy range on beverage choices from vending machines.

OBJECTIVE: To test whether traffic light labels and an increased range of healthy beverages, individually and in combination, can increase healthy beverage choices from vending machines. DESIGN: Two studies (n 558, 420) tested whether the provision of traffic light labels (green, amber and red) and an increased range of healthy beverages (from 20 % to 50 % green options), individually and in combination, could increase healthy beverage choices from a digital vending machine display. The studies used a between-subjects experimental design, and a hypothetical beverage choice, a limitation when considering real-world applicability. SETTING: Both studies utilised an online Qualtrics survey that featured a digital vending machine display. PARTICIPANTS: Both studies (n 558, 420) consisted of university students from Flinders University and individuals from a survey recruitment service. RESULTS: Featuring traffic lights did not significantly influence beverage choices (P = 0·074), while increasing the healthy range (P = 0·003, OR = 3·27), and the combination of both, did significantly increase healthier beverage choices (P < 0·001, OR = 4·83). CONCLUSIONS: The results suggest that the traffic light system and increased healthy range are not maximally effective when used on their own, and benefit greatly when combined, to increase healthy beverage choices. It was suggested that the provision of traffic light labels supplied the necessary nutritional information, and the increased healthy range offered greater opportunity to act in accordance with that information. In so doing, the present findings offer a promising pathway for reducing unhealthy beverage consumption.

The effectiveness of Go/No-Go and Stop-Signal training in reducing food consumption and choice: A systematic review and meta-analysis.

The Go/No-Go and Stop-Signal tasks have been used to reduce excess food intake via repeated pairing of food cues with response inhibition. A meta analysis of 32 studies was conducted to determine whether, and under which conditions, the Go/No-Go and Stop-Signal training tasks are effective in reducing food consumption or choice. Moderators included task parameters (e.g., number of sessions, stop signal), sample differences (e.g., age, weight), and the measure of food consumption or choice. Overall, there was a small effect for Go/No-Go and Stop-Signal training in reducing food consumption or choice, g = -0.21, CI95 = [-0.31, -0.11], p < .001, with this holding individually only for a single session of the Go/No-Go Task, g = -0.31, CI95 = [-0.45, -0.18], p < .001. Comprehensive investigation of the impact of varying moderators indicated that the effect for Go/No-Go training was robust. Nevertheless, there was significant variation in the specific parameters of the task. Overall, the present meta-analysis extends previous findings by providing comprehensive evidence that the Go/No-Go Task is effective in reducing food consumption and choice, as well as providing optimal parameter recommendations for the task.

I'll have what She's having (but not what They're having): The moderating role of group membership in the effect of social norms on food choice in an online environment.

The modern food-rich environment has contributed to the rise of unhealthy diets linked to noncommunicable diseases. Previous in-person research has found that the effect of social norms on food intake is greater when set by a perceived in-group member relative to an out-group member. Given recent increased social media use, we investigated whether this effect of group membership extends to food choices and to normative information presented remotely online. Participants (N = 179 female university students, 18-32 years) viewed a Facebook page pertaining to either their university (in-group) or a rival university (out-group). They were presented with either a healthy or an unhealthy norm via a post in which a student discussed their order at a café on the relevant campus. Food choice was assessed through an online menu where participants were asked to order one main, side, and dessert dish. As predicted, participants who viewed the healthy norm ordered a higher percentage of healthy items (especially in the desserts category) relative to those who viewed the unhealthy norm. However, this effect was significant only for those in the in-group condition; there was no such pattern for participants in the out-group condition. These findings provide insight into the role of group membership in the effect of social norms, and have practical implications regarding the design of identity-based social media health campaigns to promote healthier eating behaviours.

The role of decision-making and impulsivity in beverage consumption.

Soft drink and alcohol consumption have become significant public health issues. This study aimed to explore the mediating role of decision-making processes in the relationship between trait impulsivity and calorie dense beverage consumption. Participants comprised a community sample of 300 adults (aged 19-75). They completed self-report measures assessing impulsivity (SUPPS-P), reward sensitivity (RST-PQ), and participated in decision-making tasks related to risk propensity (BART), short-term strategy preference (IGT), and delay discounting rate. Beverage consumption was calculated using the BEVQ-15. Impulsivity was conceptualised within the framework of the two-factor model as consisting of rash impulsivity and reward sensitivity. Both facets of impulsivity were positively associated with both alcohol and soft drink consumption, and each independently predicted consumption of these beverages. Additionally, there was a significant interaction between rash impulsivity and reward sensitivity on soft drink consumption. Importantly, there were significant indirect effects of both rash impulsivity and reward sensitivity on soft drink consumption via delay discounting. The results support the logic of the two-factor model of impulsivity in the prediction of consumption of unhealthy beverages. Furthermore, the mediating role of delay discounting supports the hypothesis that personality traits can pass through to behaviour via decision-making processes. Further research should extend these findings to other consumption domains in both clinical and non-clinical populations.

Self-regulation profiles in addictive behaviors among adolescents: A transdiagnostic approach.

Dual-pathway models suggest that poor self-regulation (immature regulatory combined with strong reactive processes) is an important factor underlying addictive behaviors among adolescents. This study examined whether there are different self-regulation profiles among community adolescents, and how these profiles are related to the presence, severity and comorbidity of different addictive behaviors. A community sample of 341 adolescents (54.5% female; 13-17 years) was recruited. Participants self-reported on regulatory (inhibitory control) and reactive (reward and punishment sensitivity) processes, as well as on different addictive behaviors (binge eating, tobacco-, cannabis- and alcohol use, gaming, gambling and pathological buying). A model-based clustering analysis found evidence for three meaningful profiles: 'impulsive/under-controlled', 'anxious' and 'protective'. The 'impulsive/under-controlled' profile was characterized by the highest prevalence and severity of cannabis use and the most severe alcohol use. The 'impulsive/under-controlled' and 'protective' profiles demonstrated the highest prevalence and severity of tobacco use, whereas the 'impulsive/under-controlled' and 'anxious' profiles showed the highest binge eating scores. Adolescents who reported more than three types of addictive behaviors generally belonged to the 'impulsive/under-controlled' profile. The profiles did not differ for gaming, gambling and pathological buying. The 'impulsive/under-controlled' profile emerged as the most vulnerable profile in the context of addictive behaviors (especially for binge eating and substance use).

Effectiveness of visual nudges for encouraging healthier beverage choices from vending machines.

ISSUES ADDRESSED: Research suggests visual nudging techniques can subtly encourage healthier consumption. Two experiments explored the effect of four visual primes for nudging drink choices from a vending machine display. METHODS: Participants (17-25 years) were randomly assigned to view vending machine advertising posters containing pictorial nudges of water, soft drink, general health (runner), or a text-only control, for nudging vending machine choices. Participants then selected an item from a vending machine display containing drinks only (Experiment 1; n = 164), or both drinks and snack foods (Experiment 2, n = 684). RESULTS: In both experiments, nudging condition predicted beverage choice. Specifically, the water image nudged healthier beverage choices in both experiments. However, there was no effect on food choice in Experiment 2. Furthermore, in both experiments, liking and habitual consumption of chosen items were also significant predictors of choice, but condition predicted beverage choice over and above these. CONCLUSION: A water prime may be an effective means of encouraging healthier beverage choices in a vending machine environment. SO WHAT?: Findings have the potential to inform strategies for encouraging healthier beverage choices from vending machine environments.

A micro-randomized pilot study to examine the impact of just-in-time nudging on after-dinner snacking in adults with type 2 diabetes: A study protocol.

AIM: To determine whether a digital nudge soon after dinner reduces after-dinner snacking events as measured objectively by continuous glucose monitoring (CGM) in patients with type 2 diabetes (T2D). METHODS: This is a single-site micro-randomized trial (MRT). People with T2D, aged 18-75 years, managed with diet or a stable dose of oral antidiabetic medications for at least 3 months, and who habitual snack after dinner at least 3 nights per week, will be recruited. Picto-graphic nudges were designed by mixed research methods. After a 2-week lead-in phase to determine eligibility and snacking behaviours by a CGM detection algorithm developed by the investigators, participants will be micro-randomized daily (1:1) to a second 2-week period to either a picto-graphic nudge delivered-in-time (Intui Research) or no nudge. During lead-in and MRT phases, 24-hour glucose will be measured by CGM, sleep will be tracked by an under-mattress sleep sensor, and dinner timing will be captured daily by photographing the evening meal. RESULTS: The primary outcome is the difference in the incremental area under the CGM curve between nudging and non-nudging days during the period from 90 minutes after dinner until 04:00 AM. Secondary outcomes include the effect of baseline characteristics on treatment, and comparisons of glucose peaks and time-in-range between nudging and non-nudging days. The feasibility of 'just-in-time' messaging and nudge acceptability will be evaluated, along with the analysis of sleep quality measures and their night-to-night variability. CONCLUSIONS: This study will provide preliminary evidence of the impact of appropriately timed digital nudges on 24 -hour intertitial glucose levels resulting from altered after-dinner snacking in people with T2D. An exploratory sleep substudy will provide evidence of a bidirectional relationship between after-dinner snacking behaviour, glycaemia and sleep. Ultimately, this study will allow for the design of a future confirmatory study of the potential for digital nudging to improve health related behaviours and health outcomes.

Socio-cognitive determinants of sugar-sweetened beverage consumption among young people: A systematic review and meta-analysis.

The overconsumption of sugar sweetened beverages is an increasing public health concern. Understanding the socio-cognitive determinants that drive such consumption could inform the development of interventions to reduce sugar sweetened beverage consumption. The aim of the present review and meta-analysis was to determine the strength of associations between socio-cognitive determinants and the amount and frequency of sugar sweetened beverage consumption among young people. A systematic review was conducted in accordance with PRISMA guidelines. A search was performed using the following databases: PsycINFO, MEDLINE, Scopus, ProQuest, and PubMed. The key search terms were: (1) children, adolescents, young adults; (2) sugar sweetened beverage consumption, choice or purchasing behaviour; and (3) socio-cognitive determinants related to sugar sweetened beverage consumption. The search identified 4325 papers, with 22 papers remaining after screening. Two separate meta-analyses were performed, one for amount (n = 14) and one for frequency (n = 8) of consumption. The most strongly associated determinants with amount of sugar sweetened beverage consumed were habit, intention to consume, and attitudes, whereas the most strongly associated determinants with frequency of consumption were intentions, injunctive norms, and descriptive norms. Comparisons between the meta-analyses revealed two distinct differences: injunctive norms were more strongly correlated with frequency of consumption, and self-efficacy with amount consumed. It was suggested that interventions that focus on multiple determinants, including components of the Theory of Planned Behaviour may result in the largest reductions in consumption. Specifically, focussing on changing attitudes, norms and habits, and increasing perceived behavioural control related to sugar sweetened beverages may be maximally effective in reducing consumption behaviour.

The relationship between inhibitory control and food consumption or choice: A systematic review and meta-analysis.

Excess consumption of unhealthy foods has become a major public health problem. Although one potential contributor to unhealthy consumption is poor inhibitory control, findings have been inconsistent. A meta-analysis of 35 studies was conducted to determine whether, and under which conditions, inhibitory control, as measured by the Go/No-Go and Stop-Signal tasks, is associated with food consumption/choice. Moderators included the type of stimuli (neutral or food-specific) used in measuring inhibitory control, sample differences (e.g., age, gender, and weight), and the measure of food consumption or choice. Overall, there was a small positive association between inhibitory control and food consumption/choice, r = .09, CI95 = [0.04, 0.14], p = .001. This held for the Stop-Signal Task in general, and for the Go/No-Go Task for children and when food consumption/choice was measured objectively. The present meta-analysis provides the first comprehensive evidence that inhibitory control, as measured by the Go/No-Go and Stop-Signal tasks, is associated with food consumption or choice, and points to inhibitory control as a potential target for reducing unhealthy food consumption.

Instagram-based priming to nudge drink choices: Subtlety is not the answer.

Instagram-based priming (e.g., subtly incorporating healthy drinks into the background of Instagram images) could potentially nudge healthier consumption behaviours. Given the negative health consequences associated with sugar-sweetened-beverage consumption, two experiments tested the effect of three sets of Instagram-based primes for nudging drink choices from a visual food and drinks display. Participants (18-25 years) were randomly assigned to view a series of Instagram advertising images (for technology, travel, or homeware products) that included a glass containing water (water prime) or cola (soft drink prime), or no drink (control). They then selected an item from the visual display containing snack foods and drinks. In Experiment 1 (n = 493) beverages were subtly incorporated into the priming images; in Experiment 2 (n = 471) beverages were made more prominent. Priming condition did not predict choice in Experiment 1 but did so in Experiment 2, where participants in the soft drink prime condition were significantly more likely to select a drink versus a food, compared to those in the water prime and control conditions. The water prime did not predict choice in either study. A greater percentage of participants noticed the beverage primes in Experiment 2 than in Experiment 1. Overall, it appears that when clearly visible, soft drinks incorporated into Instagram-style images can nudge drink choices. However, a less subtle approach may be needed to effectively encourage healthier drink choices.

Vending machine backgrounds: nudging healthier beverage choices.

Soft drink overconsumption is a growing public health concern. The present research investigated whether priming nudges could decrease soft drink choices from a vending machine. We compared the effect of six vending machine wraps (Mount Franklin ™ logo, Coca-Cola™ logo, picture of water, picture of soft drink, blue, red) on beverage choice against a black (control) computerised vending machine display. In two studies, young adult participants (17 - 25 years) were recruited from [removed for blind review] (Study 1, n = 142, Study 2, n = 232). Participants were randomly allocated to choose a beverage from one of the wrap conditions. They also rated how much the beverage was liked and how often it was consumed (Study 1), or rated the refreshing value, healthiness, taste, and energy of each beverage in the vending machine (Study 2). We predicted that wraps referencing water would produce healthier choices and those referencing soft drink would result in unhealthier choices. Contrary to these predictions, the type of vending machine wrap did not significantly influence beverage choice in Study 1. However, viewing the black vending machine wrap resulted in significantly more caffeine-based selections in Study 2. Other significant predictors of the choice of beverage were how often the beverages were consumed and how much they were liked (Study 1), as well as their perceptions of the taste, healthiness and refreshing value (Study 2). The finding that the black vending machine produced more caffeine-based beverage choices demonstrates, in principle, that color-based priming nudges could influence beverage choices.

The effectiveness of implicit interventions in food menus to promote healthier eating behaviours: A systematic review.

Unhealthy eating and related chronic illness are serious public health concerns. Initial attempts to discourage unhealthy eating using explicit techniques have been largely unsuccessful. However, emerging implicit interventions have started to show promise. Common implicit interventions in food-choice contexts include placement, priming/cueing, defaults, naming, ratios, and signage. The present review aimed to evaluate the effectiveness of these interventions in promoting healthier eating behaviours in the context of food menus. Five electronic databases were searched. Included studies were conducted in a menu setting, used implicit interventions which were unlikely to be noticed by consumers, had a healthy-eating promotion focus, and were experimental or pre/post designs. A total of 19 papers comprising 23 individual studies were included. Overall, four of six implicit interventions effectively promoted healthier eating behaviours in one or more studies, with placement and default interventions the most promising. Priming/cueing and ratio interventions showed potential but require further investigation. Naming and signage interventions were largely unsuccessful, although this could be because they have not yet been explored in a variety of menu settings with a health-eating promotion focus. If existing findings can be extended to additional menu settings and demographics in future studies, implicit interventions could provide affordable and accessible tools to promote healthier eating.

The role of rash impulsivity and sensitivity to reward in soft drink consumption.

Soft drink consumption has become a major public health issue. The present study aimed to examine the role of rash impulsivity and reward sensitivity in soft drink consumption using the two-factor model of impulsivity. Participants were a community sample of 229 adults (19-77 years). They completed self-report measures of impulsivity (SUPPS-P), reward sensitivity (RST-PQ) and beverage consumption (BEVQ-15). A principal component analysis was used to produce purer measures of rash impulsivity and reward sensitivity. Both rash impulsivity and reward sensitivity were positively associated with soft drink consumption, and each independently predicted soft drink consumption. Importantly, there was a significant interaction between the two, whereby rash impulsivity moderated the effect of reward sensitivity on soft drink consumption. The results support the logic of the two-factor model of impulsivity in the prediction of soft drink consumption. Further research should extend these findings to other consumption domains in both clinical and non-clinical populations.

The predictive value of evaluative bias, attentional bias, approach bias, and self-regulatory control in soft drink consumption.

Global consumption of soft drinks has increased rapidly over the past 50 years, making this a major public health problem. Guided by dual-process models, the present study aimed to provide a comprehensive investigation of the roles of cognitive biases (evaluative, attentional, and approach biases) and self-regulatory control in soft drink consumption and choice. Participants were 128 undergraduate students (17-25 years). They completed computer-based measures of the three biases (Implicit Association Task, Dot Probe Task, and Approach Avoidance Task) and self-regulatory control (Go/no-go Task). Soft drink consumption and choice were measured using a taste test and a take home beverage choice task, respectively. Evaluative bias for soft drink cues was positively associated with the amount of soft drink consumed. Self-regulatory control was negatively correlated with amount of soft drink consumed, but only for men. There was no interaction between cognitive biases and self-regulatory control in predicting soft drink consumption or choice. Nonetheless, the results support the application of dual-process models to soft drink consumption in that automatic (evaluative bias) and controlled processes (self-regulatory control) each predicted amount of soft drink consumed, albeit independently and only for certain individuals. Future research should extend these findings to habitual soft drink consumers and to individuals who actively wish to limit their soft drink intake.

The effect of item placement on snack food choices from physical and online menus.

Previous attempts to promote healthy eating using explicit techniques have not been consistently successful. We therefore investigated an implicit strategy (item placement techniques) to encourage healthy food choices in the context of snack menus. Two experimental studies compared presentation of healthy items in the top, middle, and bottom sections of a snack menu. Study 1 compared these presentations in a physical paper-based menu, while Study 2 used an online menu. Menus consisted of 8 unhealthy and 4 healthy items, arranged in three rows of four in Study 1, and one column of 12 in Study 2. In each study, participants selected one food item from one of the three experimental menus, before completing the Revised Restraint Scale (to determine dietary restraint status). In Study 1 (n = 172), item placement condition did not predict healthiness of food choice. In Study 2 (n = 182), healthy items were most popular from the first section of the menu, in comparison to the middle or last sections. Dietary restraint did not moderate the effect of item placement condition on food choice. In line with nudging principles, our results suggest that item placement techniques could be a potentially powerful tool in promoting healthy choices from online snack menus.

Go or no-go? An assessment of inhibitory control training using the GO/NO-GO task in adolescents.

OBJECTIVE: Adolescence is a critical period for the onset of unhealthy eating habits. One important contributing factor is poor inhibitory control (IC), a cognitive skill that enables behavior regulation. IC training appears successful in countering unhealthy eating in adults, but evidence in adolescents is scarce. In addition, the mechanism of change from IC training remains unclear. Therefore, the present study aimed to assess changes in IC during a single session of IC training in adolescents. The effectiveness of the training was assessed by comparing the experimental group to a matched control group. METHOD: A community sample of 57 adolescents between 10 and 18 years was recruited (Mage = 16.61, SDage = 2.52, 73.7% girls, Madj.BMI = 105.17, SDadj.BMI = 18.81). IC was assessed before, during, and after the training using a GO/NO-GO task. Indices of IC were commission errors (CE; incorrectly responding on a no-go trial) and reaction time (RT) on go trials. RESULTS: CE rates among adolescents who received the IC training were the highest during the training and decreased significantly after the training. However, there were no differences in CE before compared to after the training. No differences were found in RT before, during or after the training. In addition, compared to the control group, the experimental group showed no significant differences in either CE or RT before, during or after the training. DISCUSSION: To the best of our knowledge, the present study is the first to assess changes in IC after an IC training in a community sample of adolescents. Results of this study further elucidate the complex role of IC in adolescents' unhealthy eating habits. Future studies should seek to corroborate these findings in a larger sample.

Food for mood: Experimentally induced negative affect triggers loss of control over eating in adolescents with low inhibitory control.

OBJECTIVE: Loss of control over eating (LOC) is common among adolescents and is associated with negative developmental outcomes. Low self-regulation, and specifically low inhibitory control, is increasingly emphasized as an underlying factor in LOC. However, the specific context in which these capacities fail remains unclear. The affect regulation model proposes that negative affect may trigger LOC; however, research has mostly assessed trait negative affect using questionnaires, whereas measuring state negative affect is needed to determine its triggering role. Therefore, this study examined the interaction between inhibitory control and state negative affect in predicting LOC among adolescents using an experimental mood-induction design. METHOD: Participants were 50 adolescents (10-18 years; 76% girls) from the general community. Participants first reported on their self-regulatory and inhibitory control capacities. They were then assigned to a sad or neutral mood-induction (using a film clip), followed by a multi-item food buffet from which they could eat as much as they liked. Finally, participants reported on their experience of loss of control while eating. RESULTS: Inhibitory control (but not self-regulation in general) interacted with the mood-induction to predict LOC. Adolescents with low inhibitory control experienced significantly more LOC, but only in the sad mood condition. DISCUSSION: The experience of negative affect appears to be an important trigger for LOC in adolescents with low inhibitory control. With a view to prevention and early intervention of LOC, inhibitory control training may be most effective in contexts where adolescents experience high levels of negative affect.

Low craving control predicts increased high energy density food intake during the COVID-19 lockdown: Result replicated in an Australian sample.

This research aimed to replicate a previous UK-based finding that low craving control predicts increased intake of high energy density foods (HED) during the COVID-19 lockdown, and extend this finding to adults living in Victoria, Australia. The study also assessed whether acceptance coping moderates the relationship between craving control and increased HED food intake, and examined the associations between trait disinhibition, perceived stress and changes to HED food intake. An online survey completed by 124 adults living in Victoria, Australia (total eligible n = 147; 38.5 ± 12.9 years) during the COVID-19 lockdown showed that 49% of participants reported increased overall food intake, and 21-29% reported increased intake of HED sweet and savoury foods during the COVID-19 lockdown. Of the eating behaviour traits assessed, low craving control was the only significant predictor of increased HED sweet and savoury food intake (cognitive restraint, disinhibition and emotional eating were non-significant predictors). Perceived stress was associated with reported increases in overall savoury and sweet snack intake, but was not significantly associated with changes to specific HED food groups (sweet and savoury). In this sample, acceptance coping did not significantly moderate the relationship between craving control and increased HED food intake. Based on these replicated findings, further trials should now consider interventions targeting craving control to promote controlled food intake in individuals at-risk of weight gain during the current COVID-19 and future potential lockdowns.