Individual Items Research Articles

Temporal integration of target features across and within trials in the attentional blink.

Attentional blink research has typically investigated attentional limitations in multiple target processing. The current study investigated the temporal integration of target features in the attentional blink. Across two experiments, we demonstrated that the orientation estimations of individual target items in the attentional blink paradigm were systematically biased. Specifically, there was evidence for both within- and across-trial biases, revealing a general bias towards previously presented stimuli. Moreover, both biases were found to be more salient for targets suffering from the attentional blink. The current study is the first to demonstrate an across-trial bias in responses in the attentional blink paradigm. This set of findings is in line with the literature, suggesting that the human visual system can implicitly summarize information presented over time, which may lead to biases. By investigating temporal integration in the attentional blink, we have been able to address the modulatory role of attention on biases imposed by the implicit temporal effects in estimation tasks. Our findings may inform future research on attentional blink, serial dependence, and ensemble perception.

Novel item selection strategies for cognitive diagnostic computerized adaptive testing: A heuristic search framework.

The computerized adaptive form of cognitive diagnostic testing, CD-CAT, has gained increasing attention in the domain of personalized measurements for its ability to categorize individual mastery status of fine-grained attributes more accurately and efficiently through administering items tailored to one's ability progressively. How to select the next item based on previous response(s) is crucial for the success of CD-CAT. Previous item selection strategies for CD-CAT have often followed a greedy or semi-greedy approach, which makes it difficult to strike a balance between diagnostic performance and item bank utilization. To address this issue, this study takes a graph perspective and transforms the item selection problem in CD-CAT into a path-searching problem, in which paths refer to possible test construction and nodes refer to individual items. A heuristic function is defined to predict the prospect of a path, indicating how well the corresponding test can diagnose the current examinee. Two search mechanisms with different biases towards item exposure control are proposed to approximate the optimal path with the best prospect. The first unused item on the resulting path is selected as the next item. The above components compose a novel CD-CAT item selection framework based on heuristic search. Simulation studies are conducted under a variety of conditions regarding bank designs, bank-quality conditions, and testing scenarios. The results are compared with different types of classic item selection strategies in CD-CAT, showing that the proposed framework can enhance bank utilization at a smaller cost of diagnostic performance.

Absolute and relative disparity mechanisms revealed by an equivalent noise analysis

The precision of stereopsis and vergence are ultimately limited by internal binocular disparity noise. Here we propose an equivalent noise model with both global and local internal disparity noises to provide a unified explanation of both absolute and relative disparity thresholds. To test this model, we developed a psychophysical procedure to measure the equivalent internal disparity noise by adding external disparity noise to random-Gabor-patch stereograms. We used the method of constant stimuli to measure the minimum and maximum disparity thresholds (Dmin and Dmax) for both absolute and relative disparity. Consistent with previous studies, we found that Dmin thresholds are substantially worse for absolute disparity than for relative disparity. We tested three relative disparity mechanisms: (1) the difference between the monocular separations of targets projecting to the two eyes; (2) the direct measurement of relative disparity; and (3) the difference of absolute disparities of targets. Computing the difference of absolute disparities when detecting relative disparity, Mechanism 3 cancels global noise, resulting in a much lower relative Dmin threshold, and provides a reasonable fit to the experimental data. We also found that the presence of as much as 2400 arcsec of external disparity noise does not appear to affect the Dmax threshold. This observation suggests that Dmax is implicated in a mechanism that disregards the disparity variance of individual items, relying instead on the average disparity across all items, supporting the depth model proposed in our previous study (Ding & Levi, 2021), which posits distinct mechanisms governing Dmin and Dmax thresholds.

Reciprocal association between pain and quality of life after newly acquired spinal cord injury.

Pain is highly prevalent in spinal cord injury (SCI) and a key determinant of quality of life (QoL). This is the first study to examine reciprocal associations between pain and QoL in patients undergoing their first inpatient rehabilitation after SCI. Longitudinal data, with three measurement time points (1month and 3months after SCI onset, and at discharge from inpatient rehabilitation) from the Inception Cohort of the Swiss Spinal Cord Injury Cohort Study. Participants were 381 individuals aged ≥ 16years with a newly diagnosed traumatic or non-traumatic SCI. 75.1% were male and the average age was 53.2years. Random intercept cross-lagged panel models were conducted to examine the reciprocal association between pain intensity and QoL, as measured with the International SCI QoL Basic Data Set three individual items (satisfaction with life, physical health, and psychological health) and total score (mean of the three individual items). Both item and total QoL scores increased over time. 1month: 5.3 (SD = 2.7), 3months: 5.9 (SD = 2.3), discharge: 6.6 (SD = 2.0). Participants reported relatively low levels of pain intensity that remained stable over the course of inpatient rehabilitation. 1month: 2.7 (SD = 2.3), 3months: 2.6 (SD = 2.4), discharge: 2.7 (SD = 2.5). There were no significant cross-lagged associations between QoL and pain intensity across time. Results indicate that pain intensity does not predict changes in QoL during first rehabilitation, and vice versa. Associations between pain intensity and QoL reported by previous studies may be attributable to individual characteristics and timely events that simultaneously influence pain and QoL.

Professional soccer practitioners' perceptions of using performance analysis technology to monitor technical and tactical player characteristics within an academy environment: A category 1 club case study.

This study aimed to identify professional soccer practitioners' perceptions of the application of performance analysis technology within a single academy club. Secondary aims were to understand the importance that practitioners place on monitoring technical and tactical player characteristics, current practices, and barriers to implementing wearable technology. Utilising a mixed method design, forty-four professional soccer academy practitioners (Age = 32 ± 5.8; Years of experience = 8.5 ± 6.2) completed an online survey intended to examine present trends, professional practices, and perceptions regarding the monitoring of technical and tactical metrics. Frequency and percentages of responses for individual items were calculated. Subsequently, eleven participants who were directly involved with the monitoring of players were recruited to participate in a semi-structured interview. Interview data was transcribed and analysed using a combination of deductive and inductive approaches to identify key themes. The main findings across both phases of the study were that (1) technical and tactical metrics are monitored more frequently in matches (Technical: 89%; tactical: 91%) than training (Technical: 80%; Tactical 64%), predominantly due to time constraints and staffing numbers. Accordingly, practitioners believe that it would be beneficial to have an automated way of tracking technical (79%) and tactical (71%) metrics and would consider using a foot-mounted IMU to do so (technical (68%) and tactical (57%)). (2) Monitoring technical and tactical metrics is beneficial to assist with player development and to enrich feedback provision (3) Key stake holders, coaches and players should be informed of the relevance and rationale for monitoring. (4) For successful implementation and continued uptake, the information delivered needs to be both meaningful and easy to understand. Findings suggest that although participants appreciate the need to collect technical and tactical metrics, they are keen to ensure that wearable-derived data does not replace experiential and contextual knowledge. Accordingly, practitioners need to work closely with coaches to determine the contexts in which metrics may or may not prove useful. However, as the sample comprised of participants from a single academy, further studies including more practitioners are warranted. Likewise, future research could also extend to include academy soccer players perceptions too.

Cognitive-Motor Dual-Task Performance of the Landing Error Scoring System.

The Landing Error Scoring System (LESS) is a common assessment used to determine biomechanical landing errors. However, this assessment is completed as a single motor task, which does not require additional attentional resources. It is unclear if the LESS can be used to detect cognitive-motor interference (i.e., dual-task cost) in biomechanical errors associated with lower extremity injury. To determine if the LESS is a suitable clinical assessment of dual-task performance in uninjured females and to evaluate whether specific landing criteria are more affected by an additional cognitive load than others. Observational Cross-Sectional Design. Setting: University research laboratory. Twenty uninjured, physically active females participated. Intervention(s): Participants performed the LESS under three different conditions: baseline landing with no cognitive distraction (Single), a visual-based dual-task (Visual), and a number-based dual-task (Number). Mean sagittal, frontal, and total LESS scores were compared between conditions using a one-way repeated measures analysis of variance with Tukey post hoc corrections. Cohen's d effect sizes with 95% confidence intervals were used to determine the magnitude of differences. The frequency of errors for each individual LESS item under the three conditions were compared using Chi-Squared analyses. Participants exhibited greater sagittal plane (P=.013, d=0.91 [0.26, 1.56]) and total (P=.008, d=1.03 [0.37, 1.69]) errors during the Visual condition compared to the Single condition. Frontal plane errors were significantly greater during the Number condition compared to the Single condition (P=.008, d=1.03 [0.37, 1.69]). The frequency of errors observed for each LESS item did not statistically differ between conditions (all P>.05). The LESS was able to detect a dual-task cost in landing errors during both the Visual and Number conditions. We recommend developing clinically-oriented solutions to incorporate similar dual- task paradigms in traditional injury risk reduction programs.

Psychometric properties of the Diabetes Eating Problem Survey-Revised among Dutch adults with type 1 diabetes and implications for clinical use.

Disordered eating behaviour (DEB) in people with type 1 diabetes (T1D) can be screened with the Diabetes Eating Problem Survey-Revised (DEPS-R). This study aimed to investigate the psychometric properties of the DEPS-R among Dutch adults with T1D and to explore the individual items alongside the standard cut-off score of ≥20 for clinical use. The construct validity of the DEPS-R was assessed with an exploratory factor analysis, through principal axis factoring and with Spearman correlations between clinical variables and the DEPS-R. Backward logistic regression identified clinical predictors for DEPS-R scores above the cut-off. DEPS-R item responses were summarized with frequencies, means and standard deviations. Participants were 145 adults with T1D, of whom 79.3% were women and 35.9% presented with DEB based on the cut-off. A single-factor solution of the DEPS-R showed good internal consistency, while a three-factor solution showed acceptable to good internal consistency within the factors. A younger age, a higher BMI and more diabetes distress were predictors for a DEPS-R cut-off score of ≥20. Clinically relevant items were identified that contributed minimally to the DEPS-R score. This study supports a single-factor and a three-factor structure of the DEPS-R while also suggesting an item-specific or factor-specific approach in clinical practice.

Internationalizing ATHE: A Roundtable Discussion

Abstract: This roundtable of international graduate students explores the challenges of studying, teaching, and researching at institutions in the United States and proposes action items for individuals and institutions to foster a more inclusive and supportive environment for all.

Longitudinal examination of alcohol use motives, item-level protective behavioral strategies, and alcohol-related consequences.

Alcohol misuse among college students is a public health concern. Protective behavioral strategies (PBS) can be used before, during, after, or instead of drinking to reduce alcohol use and negative consequences, but findings on their utility at the aggregate level are mixed. Although recent work has provided important information on the performance of individual PBS items, it is limited by research designs that are cross-sectional, do not examine consequences, or do not examine other important correlates, such as drinking motives. This study examines both the association between item-level PBS and alcohol-related negative consequences and the moderating effect of drinking motives longitudinally. College students from two universities (n = 200, 62.5% female, Mage = 20.16) completed the Drinking Motives Questionnaire-Revised, Protective Behavioral Strategies Survey, the Rutgers Alcohol Problem Index, and a measure of the quantity of alcohol use at baseline and 3-month follow-up. Generalized linear models were conducted to assess direct effects of item-level PBS on alcohol-related consequences and the moderating effects of drinking motives. Two PBS items were associated with fewer alcohol-related consequences at follow-up, and two items were associated with greater alcohol-related consequences at follow-up. Drinking motives differentially moderated associations between item-level PBS and alcohol-related consequences for a proportion in the sample. Enhancement motives moderated the greatest number of associations, followed by coping, conformity, and social motives. Certain PBS (e.g., drink slowly, rather than gulp or chug) were moderated by several drinking motives, whereas other PBS items were not moderated by any motives. Consistent with previous research, some item-level PBS were associated longitudinally with increased negative consequences, and some were associated with decreased negative consequences. Drinking motives, particularly enhancement, moderated several item-level PBS and consequence associations, suggesting that reasons for drinking may be important for understanding the associations between PBS strategies and alcohol-related consequences.

Research on Vegetable Sales Volume and Pricing Strategy Based on GWO-LSTM Modeling

This paper focuses on an in-depth study of the problem of sales volume and pricing strategy for vegetable categories, aiming at constructing an automatic pricing and replenishment model to maximize revenue. First, by analyzing the sales data of each category and single item of vegetables, the mean value of sales volume is calculated, and the correlation between each category of vegetables is visualized using charts and Pearson correlation coefficient heat maps, and it is found that there is a significant correlation between specific categories. Secondly, this paper adopts the cost-plus pricing method to calculate the markup rate of each individual item and combines it with linear regression analysis to reveal the relationship between markup rate and sales volume, and further predicts the sales volume and price in the coming week through the GWO-LSTM model, which provides data-driven pricing and replenishment strategies for the superstore based on the data. Finally, for the data of a specific time, this paper develops a linear programming model to formulate a replenishment and pricing scheme that meets market demand and maximizes revenue. The methodology and findings of this study have important practical applications for retail formats such as fresh food superstores.

Early visual cortices reveal interrelated item and category representations in aging.

Neural dedifferentiation, the finding that neural representations tend to be less distinct in older adults compared with younger adults, has been associated with age-related declines in memory performance. Most studies assessing the relation between memory and neural dedifferentiation have evaluated how age impacts the distinctiveness of neural representations for different visual categories (e.g., scenes and objects). However, how age impacts the quality of neural representations at the level of individual items is still an open question. Here, we present data from an age-comparative fMRI study that aimed to understand how the distinctiveness of neural representations for individual stimuli differs between younger and older adults and relates to memory outcomes. Pattern similarity searchlight analyses yielded indicators of neural dedifferentiation at the level of individual items as well as at the category level in posterior occipital cortices. We asked whether age differences in neural distinctiveness at each representational level were associated with inter- and/or intraindividual variability in memory performance. While age-related dedifferentiation at both the item and category level related to between-person differences in memory, neural distinctiveness at the category level also tracked within-person variability in memory performance. Concurrently, neural distinctiveness at the item level was strongly associated with neural distinctiveness at the category level both within and across participants, elucidating a potential representational mechanism linking item- and category-level distinctiveness. In sum, we provide evidence that age-related neural dedifferentiation co-exists across multiple representational levels and is related to memory performance.Significance Statement Age-related memory decline has been associated with neural dedifferentiation, the finding that older adults have less distinctive neural representations than younger adults. This has been mostly shown for category information, while evidence for age differences in the specificity of item representations is meager. We used pattern similarity searchlight analyses to find indicators of neural dedifferentiation at both levels of representation (category and item) and linked distinctiveness to memory performance. Both item- and category-level dedifferentiation in the calcarine cortex were related to interindividual differences in memory performance, while category-level distinctiveness further tracked intraindividual variability. Crucially, neural distinctiveness was strongly tied between the item and category levels, indicating that intersecting representational properties of posterior occipital cortices reflect both individual exemplars and categories.

For law enforcement purposes: The complicated relationship between the 1033 program and the expanding police mandate

Nationwide protests and the ensuing “defund the police” movement reignited debates surrounding the allocation of resources to police departments and police militarization. A commonly examined program of militarization is the Department of Defense's (DoD) 1033 Program, which provides excess DoD equipment to federal, state, and local law enforcement agencies (LEA). While the program does transfer lethal military-grade equipment, most transfers are non-lethal equipment/items. Thus, the degree of participation in the 1033 Program reflecting the “warrior cop mentality” may be overstated. Instead, 1033 Program participation may reflect police cultural framing and rational decisions of how best to meet the needs of their expanding mandate, including providing electrical grid support and natural disaster relief. In this paper, we qualitatively code over 125,000 LEA 1033 justifications for individual items to illuminate how LEAs define their role in society amid their shifting mandate. Results reveal a complex relationship between entrenched cultural patterns and changing demands and needs of departments.

A signal-detection account of item-based and ensemble-based visual change detection: A reply to Harrison, McMaster, and Bays.

Growing empirical evidence shows that ensemble information (e.g., the average feature or feature variance of a set of objects) affects visual working memory for individual items. Recently, Harrison, McMaster, and Bays (2021) used a change detection task to test whether observers explicitly rely on ensemble representations to improve their memory for individual objects. They found that sensitivity to simultaneous changes in all memorized items (which also globally changed set summary statistics) rarely exceeded a level predicted by the so-called optimal summation model within the signal-detection framework. This model implies simple integration of evidence for change from all individual items and no additional evidence coming from ensemble. Here, we argue that performance at the level of optimal summation does not rule out the use of ensemble information. First, in two experiments, we show that, even if evidence from only one item is available at test, the statistics of the whole memory set affect performance. Second, we argue that optimal summation itself can be conceptually interpreted as one of the strategies of holistic, ensemble-based decision. We also redefine the reference level for the item-based strategy as the so-called "minimum rule," which predicts performance far below the optimum. We found that that both our and Harrison et al. (2021)'s observers consistently outperformed this level. We conclude that observers can rely on ensemble information when performing visual change detection. Overall, our work clarifies and refines the use of signal-detection analysis in measuring and modeling working memory.

Factors influencing satisfaction with prosthetic and orthotic services – a national cross-sectional study in Sweden

Purpose To evaluate client satisfaction with prosthetic and orthotic services in Sweden, determine if satisfaction differs between clients using different devices and identify factors which influence client satisfaction. Materials and methods A cross-sectional design was used to survey 7318 clients. The survey included items related to demographics, quality of life, device comfort, device use, the extent to which clients’ needs were met and satisfaction with services. Ethics approval was provided by the Swedish Ethical Review Authority. Results A total of 2925 surveys were returned reflecting a response rate of 41%. Mean OPUS-CSS point score was 61.9(SD 16.8) with differences observed between device categories (p < 0.001). Factors that were identified as most positively influencing client satisfaction were, being a limb prosthesis user and being under 65 years. When analysing scores for individual OPUS items breast prosthesis users scored higher than users of other devices. Clients were most satisfied with the level of respect they were shown by staff (mean = 2.72/3) and less satisfied with coordination of services with other therapists/doctors(mean = 1.88/3). Conclusions Prosthetic and orthotic users are reasonably satisfied with the services they receive. Attention should be directed towards understanding why prosthetic users are more satisfied than orthotic users and why clients under 65 years report higher satisfaction scores.

Nonparametric Kernel Smoothing Item Response Theory Analysis of Likert Items

Likert scales are the most common psychometric response scales in the social and behavioral sciences. Likert items are typically used to measure individuals’ attitudes, perceptions, knowledge, and behavioral changes. To analyze the psychometric properties of individual Likert-type items and overall Likert scales, mostly methods based on classical test theory (CTT) are used, including corrected item–total correlations and reliability indices. CTT methods heavily rely on the total scale scores, making it challenging to directly examine the performance of items and response options across varying levels of the trait. In this study, Kernel Smoothing Item Response Theory (KS-IRT) is introduced as a graphical nonparametric IRT approach for the evaluation of Likert items. Unlike parametric IRT models, nonparametric IRT models do not involve strong assumptions regarding the form of item response functions (IRFs). KS-IRT provides graphics for detecting peculiar patterns in items across different levels of a latent trait. Differential item functioning (DIF) can also be examined by applying KS-IRT. Using empirical data, we illustrate the application of KS-IRT to the examination of Likert items on a psychological scale.

Self-supervised hypergraph neural network for session-based recommendation supported by user continuous topic intent

Session-based recommendation aims to predict the next item an anonymous user is most likely to click based on its limited historical behaviors. However, in session-based recommendation, the anonymity and short sequences often lead to the issue of data sparsity, which can affect the performance of recommendation models. Existing recommendation methods mostly focus on individual items in the session sequence, without considering the implicit user continuous intent underlying multiple continuous items. Moreover, current graph-based recommendation models do not fully take into account the direction of information transfer among shared items when calculating their similarities. This paper proposes, TCAUIS, a topic classification augmented user intend self-supervised hypergraph neural network for session-based recommendation, which contains continuous topic intent of users within a session and the information of co-occurrence items. The TCAUIS models a individual session sequence as a topic intent hypergraph and co-occurrence graph respectively, and employs latent Dirichlet allocation to classify the topic of the dataset and fuses the topic hyperedges into the hypergraph to alleviate the sparsity of the data and enhance the session information. Additionally, the hypergraph attention networks and attention mechanisms are leveraged to capture the complex high-order information between nodes in both the hypergraphs and co-occurrence graphs. The continuous topic intent of users and information of co-occurrence relationship are effectively integrated using a self-supervised mechanism that maximizes the mutual information between the representations of two sessions. Extensive experimental results show that the proposed TCAUIS model outperforms the state-of-the-art models on three real datasets Diginetica, Yoochoose1/64 and Nowplaying.

The development of a cryptoglandular anal fistula quality of life scale (AF-QoL).

Quality of life (QoL) is a crucial and core outcome in assessing the effectiveness of treatments for cryptoglandular anal fistula. Despite its extensive impact, there is a lack of patient-centred, disease-specific QoL measurement instruments of adequate quality. The aim of this study is to develop a disease-specific measurement instrument that can accurately measure QoL for patients with cryptoglandular anal fistula. Semi-structured qualitative patient interviews and a systematic review of current instruments were used to generate items for the draft instrument. This underwent successive rounds of cognitive interviews to refine its wording and structure. Individual item and overall scale content validity were determined by asking experts to rate the relevance of each item and those deemed irrelevant were removed. The final instrument then underwent psychometric testing and test-retest analysis to determine its sensitivity and stability. A total of 148 patients were involved in item generation, scale development and psychometric testing. A 22-item measurement instrument has been developed; it is scored on a scale of 0-100, where 0 indicates the worst QoL and 100 demonstrates perfect QoL. The scale demonstrates excellent internal consistency (Cronbach-α = 0.927), strong content and construct validity [correlation with Perianal Disease Activity Index = -0.713, Hospital Anxiety and Depression Anxiety (-0.659) and Depression (-0.673) subscales and Short Form-12 physical (0.609) and mental (0.589) component scales] and strong reliability and responsiveness. We have developed a cryptoglandular Anal Fistula Quality of Life scale (AF-QoL), a comprehensive, disease-specific patient reported outcome measure assessing QoL in patients with cryptoglandular anal fistula.

The language learning orientations scale and language learners’ motivation in Japan: A partial replication study

Motivation is central to success in most academic domains. This paper builds on previous research into measurement of motivation within the framework of self-determination theory. Instruments measuring motivation often need to be adapted, revised, and improved. There have been repeated calls for replication studies within second language acquisition, and yet there remains some reluctance to build on and develop previous research. To address this issue, this paper reports on a partial replication of Leeming and Harris (2022). That study employed Rasch analysis to investigate the functioning of the Language Learning Orientations Scale (LLOS), allowing identification of problematic items that negatively influenced measurement of the target constructs. Based on the results and discussion of that paper, for this study, questionnaire items were edited, resulting in a new version of the instrument, the LLOS-J. This revised survey was administered to a similar cohort of participants who also completed a test of English reading and listening proficiency. The LLOS-J was examined using the Rasch model, and relationships between data from this questionnaire and English proficiency were also investigated. Rasch analysis allowed comparison with the initial study. Results showed improvement in the unidimensionality of the external motivation construct, and improved fit to the Rasch model for individual items, although this improvement was limited. The relationship between motivational variables and English proficiency was different from the initial study, and possible reasons are discussed.

Return to work within a year after first stroke: blue and white collar workers comparison, predictors and causal mediation assessed during inpatient rehabilitation

ABSTRACT BACKGROUND Most research focuses around impairments in body function and structure, with relatively only a small number exploring their social impact. OBJECTIVES 1) compare characteristics for individuals who before stroke were blue collar vs. white collar workers 2) identify clinical, functional, and job-related factors associated with return to work within 1 year after discharge 3) identify specific ADL individual items (assessed at rehabilitation discharge) as return to work predictors and 4) identify return to work causal mediators. METHODS Retrospective observational cohort study, analyzing adult patients with stroke admitted to rehabilitation between 2007 and 2021, including baseline Barthel Index (BI) and return to work assessments between 2008 and 2022. Kaplan–Meier survival curves and Cox proportional hazards were applied. Causal mediation analyses using 1000-bootstrapped simulations were performed. RESULTS A total of 802 individuals were included (14.6% returned to work), 53.6% blue-collar and 46.4% white-collar. Blue-collar workers showed significantly higher proportion of ischemic stroke, diabetes, dyslipidemia, and hypertension. Individuals not returning to work presented a higher proportion of blue collar, dominant side affected, aphasia, lower BI scores, and larger length of stay (LOS). Multivariable Cox proportional hazards identified age at injury, aphasia, hypertension, and total discharge BI score (C-Index = 0.74). Univariable Cox models identified three independent BI items at all levels of independence: bathing (C-Index = 0.58), grooming (C-Index = 0.56) and feeding (C-Index = 0.59). BI efficiency (gain/LOS) was a causal mediator. CONCLUSION Blue collar workers showed higher proportion of risk factors and comorbidities. Novel factors, predictors, and a return to work mediator were identified.

Preconception weight suppression predicts eating disorder symptoms in pregnancy.

Disordered eating is common in pregnancy and associated with adverse health outcomes. Weight suppression (WS), the discrepancy between highest lifetime and current weight, is a robust predictor of loss of control (LOC) and binge eating and weight gain trajectories in clinical populations. This study explored the role of preconception WS as a predictor of disordered eating and weight gain in pregnancy. Pregnant individuals (n=137) reported their highest, preconception, and current weights to calculate preconception WS, actual gestational weight gain (GWG), and deviations from recommended weight gain trajectories in pregnancy. Participants also completed the Prenatal Eating Behaviours Screening (PEBS) tool, a validated measure of disordered eating specifically in pregnancy. Preconception WS was a significant predictor of PEBS total scores [F(5, 122)=2.70, p=0.02, R2=0.10] and significantly and positively correlated with individual item scores quantifying restrictive eating behaviours. Preconception WS was not predictive of deviations from recommended GWG trajectories or LOC or binge eating frequency and did not interact with pre-pregnancy body mass index or GWG to predict eating disorder symptom severity. Preconception WS was predictive of disordered eating, and specifically restrictive eating behaviours in pregnancy, and should be assessed as part of screening for eating disorder risk in pregnant individuals.