The influence of gender and body dissatisfaction on body-related attentional bias: An eye-tracking and virtual reality study

Body Dissatisfaction Directs Avatar Perception: Embodiment and Selective Visual Attention in Body Mass-Modified Self-Avatars

Human agents immersed in metaverse technologies such as virtual reality (VR) are routinely disconnected from their actual physical appearance and embodied in another virtual body, referred to as self-avatar. Such body transformations can have implications for patients with eating disorders, or persons with extreme body dissatisfaction (BD). Changes in BD, weight anxiety, or body image are theoretically linked to visual selective attention, which can be measured with eye tracking. In the present study, 43 women with high or low BD were immersed in animated body weight-manipulated self-avatars in VR. Before a brief mirror exposure with their self-avatars, they experienced synchronous visuomotor and visuo-tactile contingencies in VR to increase embodiment, delivered through small movement exercises with real-time animation from first-person perspective and passive haptics. In a crossover study design, self-avatar weight was manipulated (normal weight vs. overweight) in both groups (low BD vs. high BD), and subjective experience was assessed before and after exposure. In contrast to our hypotheses, BD was not affected by the self-avatar condition. Embodiment decreased during mirror exposure, possibly due to the avatars wearing head-mounted displays. Interestingly, disembodiment was stronger in women with low BD. Furthermore, eye tracking showed that participants with high BD looked longer at weight-related body parts when immersed in the overweight self-avatar, whereas participants with low BD looked longer at weight-related body parts when immersed in the normal weight self-avatar. Overall, the results support body-specific visual attention and suggest that particularly participants with low BD show stronger disembodiment during self-avatar mirror exposure, possibly alleviating momentary body experience. Preregistration: https://doi.org/10.23668/psycharchives.4949.

Body Dissatisfaction and Body-Related Attentional Bias: Is There a Causal Relationship?

Previous research has shown an association between body dissatisfaction and attentional biases toward the body, but the nature of this relationship is not clear. It is possible that dissatisfaction causes attentional bias or that dissatisfaction is a result of such bias. To clarify the causal relationship between these two variables, this study manipulated dissatisfaction in a sample of healthy women by exposing them to images of "ideal" bodies and observed whether this manipulation increased attentional biases toward different body parts. Fifty-seven women took part in a pre-post experimental design in which they observed an avatar representing themselves in a virtual mirror before and after being exposed to "thin ideal" photographs. Eye-tracking technology was employed to quantify the frequency and duration of fixations on weight-related and weight-unrelated body parts. The outcomes revealed a successful induction of body dissatisfaction, leading participants to display a heightened number of fixations and prolonged fixation durations on unrelated-weight body parts. These findings remained significant after controlling for the effects of trait body dissatisfaction and body mass index. The results imply that heightened body dissatisfaction fosters the aversion of attention from weight-related body parts, which may function as a protective mechanism for preserving self-esteem and promoting psychological well-being.

Attentional Biases Towards Body-Related Stimuli in Healthy Males: A Systematic Review

Recent literature has discussed the role of attentional biases towards body-related stimuli. Specific foci have been on those with high levels of body image concerns and female samples. Unfortunately, there has been limited focus on male samples within existing literature. The aim of the current study was to provide a critical synthesis of the findings of existing studies exploring attentional biases in adult males towards body-related stimuli. Critical synthesis of the findings of 20 studies explored four key methodologies: eye-tracking, dot-probe, visual search, and other methodologies (e.g. ARDPEI task). The current review provides evidence of specific attentional biases towards body-related stimuli in adult males experiencing body image concerns. Similar patterns of attentional biases are also demonstrated in males with body image pathologies. However, there appears to be distinct patterns of attentional biases for male and female participants. It is recommended that future research considers these findings and utilises measures developed specifically for male samples. Furthermore, additional variables require further attention, i.e. reasons for engaging in social comparison and/or engaging in physical activity.

Modification of Body-Related Attentional Bias through Virtual Reality and Eye-Tracking in Healthy Participants: Implications for Anorexia Nervosa Treatments

Cognitive biases have a significant impact on the etiology and treatment of eating disorders (EDs). These biases, including selective attentional bias (AB) to disliked body parts, may reinforce concerns about body shape, fear of gaining weight and body image disturbances and may contribute to dietary restriction and restraint. Decreasing AB could reduce core symptoms in anorexia nervosa (AN). This study represents a preliminary exploration aiming to assess whether AB towards weight-related (WR) and non-weight-related (NW) body parts could be reduced through an AB modification task in a virtual reality (VR) environment in healthy participants. A total of 54 female participants, aged 22.98 ± 1.89, were recruited. The task consisted of directing the participants' attention towards all body parts equally in a VR setting. Eye-tracking (ET) measurements (complete fixation time [CFT] and number of fixations [NF]) were made before and after the task. The results showed a significant reduction of the AB in the two groups with an initial AB towards WR body parts or towards NW body parts. Participants showed a tendency to more balanced (non-biased) attention after the intervention. This study provides evidence of the usefulness of AB modification tasks in a non-clinical sample.

An Attentional Bias Modification Task, through Virtual Reality and Eye-Tracking Technologies, to Enhance the Treatment of Anorexia Nervosa

Mirror exposure therapies (METs) have been shown to be effective in reducing body image disturbances through the habituation process. Virtual reality (VR) combined with eye-tracking techniques can provide innovative solutions to some of METs’ limitations reported with patients with anorexia nervosa (AN), especially the negative influence of body-related attentional bias (AB). This pilot study aimed to assess the preliminary efficacy of a new VR-based AB modification task (ABMT) among healthy women and the procedure’s user experience. AB levels towards weight- and non-weight-related body parts, using complete fixation time (CFT) and number of fixations (NF), were assessed throughout the ABMT procedure (300 trials). The user experience was evaluated at the end of the procedure. The results showed that VR-based ABMT was effective in reducing AB significantly after 150 trials for both CFT- and NF-based measures, although 225 trials were necessary to get the same result for women with an NF initially more oriented towards weight-related body parts. Overall, the software received a “C-rating” on a scale from “A” (most usable) to “F” (least usable). These results provide evidence of the opportunity to use a VR-based ABMT procedure to reduce AB and improve existing treatments for AN.

Sleep-related attentional and interpretive-bias in insomnia: A systematic review and meta-analysis

Cognitive models of insomnia highlight internal and external cognitive-biases for sleep-related "threat" in maintaining the disorder. This systematic review of the sleep-related attentional and interpretive-bias literature includes meta-analytic calculations of each construct. Searches identified N = 21 attentional-bias and N = 8 interpretive-bias studies meeting the inclusion/exclusion criteria. Seventeen attentional-bias studies compared normal-sleepers and poor-sleepers/insomnia patients. Using a random effects model, meta-analytic data based on standardized mean differences of attentional-bias studies determined the weighted pooled effect size to be moderate at 0.60 (95%CI:0.26-0.93). Likewise, seven of eight interpretive-bias studies involved group comparisons. Meta-analytic data determined the weighted pooled effect size as moderate at .44 (95%CI:0.19-0.69). Considering these outcomes, disorder congruent cognitive-biases appear to be a key feature of insomnia. Despite statistical support, absence of longitudinal data limits causal inference concerning the relative role cognitive-biases in the development and maintenance of insomnia. Methodological factors pertaining to task design, sample and stimuli are discussed in relation to outcome variation. Finally, we discuss the next steps in advancing the understanding of sleep-related biases in insomnia.

Sensor Technology and Intelligent Systems in Anorexia Nervosa: Providing Smarter Healthcare Delivery Systems

Ubiquitous technology, big data, more efficient electronic health records, and predictive analytics are now at the core of smart healthcare systems supported by artificial intelligence. In the present narrative review, we focus on sensing technologies for the healthcare of Anorexia Nervosa (AN). We employed a framework inspired by the Interpersonal Neurobiology Theory (IPNB), which posits that human experience is characterized by a flow of energy and information both within us (within our whole body), and between us (in the connections we have with others and with nature). In line with this framework, we focused on sensors designed to evaluate bodily processes (body sensors such as implantable sensors, epidermal sensors, and wearable and portable sensors), human social interaction (sociometric sensors), and the physical environment (indoor and outdoor ambient sensors). There is a myriad of man-made sensors as well as nature-based sensors such as plants that can be used to design and deploy intelligent systems for human monitoring and healthcare. In conclusion, sensing technologies and intelligent systems can be employed for smarter healthcare of AN and help to relieve the burden of health professionals. However, there are technical, ethical, and environmental sustainability issues that must be considered prior to implementing these systems. A joint collaboration of professionals and other members of the society involved in the healthcare of individuals with AN can help in the development of these systems. The evolution of cyberphysical systems should also be considered in these collaborations.

Various Types of Virtual Reality-Based Therapy for Eating Disorders: A Systematic Review

(1) Background: Interactive VR (virtual reality) environments (i.e., using three-dimensional graphics presented with a head-mounted display) have recently become a popular professional tool for the treatment of patients with eating disorders (EDs). However, there are no published review reports that have analyzed the original papers between 2015 and 2021, which additionally focused only on HMD (head-mounted display) 3DVR (three-dimensional virtual reality) exposure and included only three therapeutic categories for ED patients. (2) Methods: The EbscoHost and Scopus databases were searched to identify relevant papers on VR research employing VR in the assessment and treatment of eating disorders. (3) Results: In addition to the known therapeutic divisions for ED, there are new forms of therapy based on 360 cameras, eye-tracking, and remote therapy. (4) Conclusions: The potential of VR in combination with different therapies may offer an alternative for future research. More rigorous testing, especially in terms of larger sample sizes, the inclusion of control groups or multisessions, and follow-up measures, is still needed. The current state of research highlights the importance of the nature and content of VR interventions for ED patients. Future research should look to incorporate more home-based and remote forms of VR tools.

Gender differences in state body satisfaction, affect, and body-related attention patterns towards one’s own and a peer’s body: an Eye-Tracking Study with Women and Men

Background

Body-related attentional biases are assumed to contribute to the development and maintenance of body-related concerns or specific mental disorders such as eating disorders. However, while studies have indicated gender-specific differences in body-related concerns, less is known about gender-specific differences in body-related attention allocation.

Methods

An eye-tracking paradigm was used to assess women’s (n = 41) and men’s (n = 42) attention patterns towards their own and a peer’s body. Additionally, state body satisfaction and affect were examined.

Results

While both women and men showed higher state positive and negative affect after viewing one’s own body than after viewing a peer’s body, only women displayed worse state body satisfaction after viewing one’s own body than after viewing a peer’s body. Conversely, both genders showed a similar deficit-oriented attention pattern, irrespective of the presented body type.

Conclusions

The findings provide evidence of gender-specific differences in state body satisfaction after viewing one’s own and a peer’s body. However, these differences do not seem to be reflected by gender differences in body-related attention allocation. As both women and men showed a deficit-oriented attentional bias, they might benefit from interventions which aim to establish a functional or self-serving way of looking at one’s own body.

Anorexia Nervosa, Body Image Perception and Virtual Reality Therapeutic Applications: State of the Art and Operational Proposal

Anorexia Nervosa (AN) patients exhibit distorted body representation. The purpose of this study was to explore studies that analyze virtual reality (VR) applications, related to body image issues, to propose a new tool in this field. We conducted a systematic review in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. PubMed, EMBASE, Scopus, and Web of Science databases were explored; the review included 25 studies. Research has increased over the last five years. The selected studies, clinical observational studies (n = 16), mostly concerning patients' population with AN (n = 14) or eating disorders (EDs) diagnosis, presented multiple designs, populations involved, and procedures. Some of these studies included healthy control groups (n = 7). Studies on community sample populations were also selected if oriented toward clinical applications (n = 9). The VR technologies in the examined period (about 20 years) have evolved significantly, going from very complex and bulky systems, requiring very powerful computers, to agile systems. The advent of low-cost VR devices has given a big boost to research works. Moreover, the operational proposal that emerges from this work supports the use of biofeedback techniques aimed at evaluating the results of therapeutic interventions in the treatment of adolescent patients diagnosed with AN.

Validation of an automated self-administered 24-hour dietary recall web application against urinary recovery biomarkers in a sample of French-speaking adults of the province of Québec, Canada

The objective of this study was to validate an automated self-administered 24-hour dietary recall web application (R24W) against recovery biomarkers for sodium, potassium and protein intakes and to identify individual characteristics associated with misreporting in a sample of 61 men and 69 women aged 20-65 years from Québec City, Canada. Each participant completed 3 dietary recalls using the R24W, provided two 24-hour urinary samples and completed questionnaires to document psychosocial factors. Mean reported intakes were 2.2%, 2.1% and 5.0% lower than the urinary reference values, respectively, for sodium, potassium and proteins (significant difference for proteins only (p = 0.04)). Deattenuated correlations between the self-reported intake and biomarkers were significant for sodium (r = 0.48), potassium (r = 0.56) and proteins (r = 0.68). Cross-classification showed that 39.7% (sodium), 42.9% (potassium) and 42.1% (proteins) of participants were ranked into the same quartile with both methods and only 4.8% (sodium), 3.2% (potassium) and 0.8% (proteins) were ranked in opposite quartiles. Lower body esteem related to appearance was associated with sodium underreporting in women (r = 0.33, p = 0.006). No other individual factor was found to be associated with misreporting. These results suggest that the R24W has a good validity for the assessment of sodium, potassium and protein intakes in a sample of French-speaking adults. Novelty: The validity of an automated self-administered 24-hour dietary recall web application named the R24W was tested using urinary biomarkers. According to 7 criteria, the R24W was found to have a good validity to assess self-reported intakes of sodium, potassium and proteins.

How immersive virtual reality can become a key tool to advance research and psychotherapy of eating and weight disorders

Immersive virtual reality technology (VR) still waits for its wide dissemination in research and psychotherapy of eating and weight disorders. Given the comparably high efforts in producing a VR setup, we outline that the technology's breakthrough needs tailored exploitation of specific features of VR and user-centered design of setups. In this paper, we introduce VR hardware and review the specific properties of immersive VR versus real-world setups providing examples how they improved existing setups. We then summarize current approaches to make VR a tool for psychotherapy of eating and weight disorders and introduce user-centered design of VR environments as a solution to support their further development. Overall, we argue that exploitation of the specific properties of VR can substantially improve existing approaches for research and therapy of eating and weight disorders. To produce more than pilot setups, iterative development of VR setups within a user-centered design approach is needed.

Addressing virtual reality misclassification: A hardware-based qualification matrix for virtual reality technology

Through its unique sensory synchronized design, virtual reality (VR) provides a convincing, user-centred experience of highly controllable scenarios. Importantly, VR is a promising modality for healthcare, where treatment efficacy has been recognized for a range of conditions. It is equally valuable across wider research disciplines. However, there is a lack of suitable criteria and consistent terminology with which to define VR technology. A considerable number of studies have misclassified VR hardware (e.g. defining laptops as VR), hindering validity and research comparisons. This review addresses these limitations and establishes a standardized VR qualification framework. As a result of a comprehensive theoretical and literature review, the hardware-based VR qualification matrix is proposed. The matrix criteria consist of (1) three-dimensional (3D) synchronized sensory stimulation; (2) degrees of freedom tracking; and (3) visual suppression of physical stimuli. To validate the model and quantify the current scale/diversity of VR misclassification, a 2019 sectional review of health-related studies was conducted. Of the 115 studies examined against standardized criteria, 35.7% utilized VR, 31.3% misclassified VR, 18.3% were considered quasi-VR, and 14.8% omitted critical specifications. The proposed model demonstrates good validity and reliability for qualifying and classifying VR. Key Practitioner Messages Virtual reality (VR) therapy has gained rapid empirical support, although many practitioners do not understand the difference between genuine and less-realistic VR variations. That has resulted from an evident lack of suitable criteria to define VR across a range of studies and protocols. Our proposed hardware-based virtual reality qualification matrix addresses issues to do with misclassification, via the introduction of standardised criteria. Applying the matrix to existing literature has revealed that more than 30% of VR studies use hardware that does not fit the high standards of rigour required for immersion in a simulated space. The model is a practical tool researchers and practitioners can use to quality and verify VR standards across research studies.

Virtual reality in the treatment of eating disorders

Over the last 25 years, virtual reality (VR) has offered innovative solutions for targeting different key symptoms of eating disorders: from craving to negative emotions, from attentional biases to body dissatisfaction. The present narrative review assesses the existing literature in these areas trying to identify their different levels of clinical evidence. Specifically, the review presents four clinical approaches based upon VR and their implications in the treatment of eating disorders: VR cue exposure, VR reference frame shifting, VR for correcting body distortions and attentional biases. In general, existing findings demonstrate the clinical value of VR. On one side, the present review suggests that two VR-based techniques-VR exposure and reference frame shifting-have a significant research support and provide a possible advantage over traditional cognitive-behavioural therapy (CBT) for bulimia nervosa and binge eating disorder. On the other side, two emerging VR applications-multisensory body illusions and the use of VR for the modification of attentional biases-even if supported by preliminary data still need further research.

AN-VR-BE. A Randomized Controlled Trial for Reducing Fear of Gaining Weight and Other Eating Disorder Symptoms in Anorexia Nervosa through Virtual Reality-Based Body Exposure

In vivo body exposure therapy is considered an effective and suitable intervention to help patients with anorexia nervosa (AN) reduce their body image disturbances (BIDs). However, these interventions have notable limitations and cannot effectively reproduce certain fears usually found in AN, such as the fear of gaining weight (FGW). The latest developments in virtual reality (VR) technology and embodiment-based procedures could overcome these limitations and allow AN patients to confront their FGW and BIDs. This study aimed to provide further evidence of the efficacy of an enhanced (by means of embodiment) VR-based body exposure therapy for the treatment of AN. Thirty-five AN patients (16 in the experimental group, 19 in the control group) participated in the study. FGW, BIDs, and other body-related and ED measures were assessed before and after the intervention and three months later. The experimental group received treatment as usual (TAU) and five additional sessions of VR-based body exposure therapy, while the control group received only TAU. After the intervention, ED symptoms were clearly reduced in both groups, with most of the changes being more noticeable in the experimental group. Specifically, after the intervention and at follow-up, significant group differences were found in the FGW and BIDs, with the experimental group showing significantly lower values than the control group. The current study provides new insights and encouraging findings in the field of exposure-based therapies in AN. VR technology might improve research and clinical practice in AN by providing new tools to help patients confront their core fears (i.e., food- or weight-related cues) and improve their emotional, cognitive, and behavioral responses to their body image.

An Immersive Virtual Reality Game for Predicting Risk Taking through the Use of Implicit Measures

Risk taking (RT) measurement constitutes a challenge for researchers and practitioners and has been addressed from different perspectives. Personality traits and temperamental aspects such as sensation seeking and impulsivity influence the individual’s approach to RT, prompting risk-seeking or risk-aversion behaviors. Virtual reality has emerged as a suitable tool for RT measurement, since it enables the exposure of a person to realistic risks, allowing embodied interactions, the application of stealth assessment techniques and physiological real-time measurement. In this article, we present the assessment on decision making in risk environments (AEMIN) tool, as an enhanced version of the spheres and shield maze task, a previous tool developed by the authors. The main aim of this article is to study whether it is possible is to discriminate participants with high versus low scores in the measures of personality, sensation seeking and impulsivity, through their behaviors and physiological responses during playing AEMIN. Applying machine learning methods to the dataset we explored: (a) if through these data it is possible to discriminate between the two populations in each variable; and (b) which parameters better discriminate between the two populations in each variable. The results support the use of AEMIN as an ecological assessment tool to measure RT, since it brings to light behaviors that allow to classify the subjects into high/low risk-related psychological constructs. Regarding physiological measures, galvanic skin response seems to be less salient in prediction models.

Validity of Virtual Reality Body Exposure to Elicit Fear of Gaining Weight, Body Anxiety and Body-Related Attentional Bias in Patients with Anorexia Nervosa

Fear of gaining weight (FGW), body image disturbances, associated anxiety and body-related attentional bias are the core symptoms of anorexia nervosa (AN) and play critical roles in its development and maintenance. The aim of the current study is to evaluate the usefulness of virtual reality-based body exposure software for the assessment of important body-related cognitive and emotional responses in AN. Thirty female patients with AN, one of them subclinical, and 43 healthy college women, 25 with low body dissatisfaction (BD) and 18 with high BD, owned a virtual body that had their silhouette and body mass index. Full-body illusion (FBI) over the virtual body was induced using both visuo-motor and visuo-tactile stimulation. Once the FBI was induced, the FBI itself, FGW, body anxiety and body-related attentional bias toward weight-related and non-weight-related body areas were assessed. One-way analyses of covariance (ANCOVA), controlling for age, showed that AN patients reported higher FGW, body anxiety and body-related attentional bias than healthy controls. Unexpectedly, patients with AN reported significantly lower FBI levels than healthy participants. Finally, Pearson correlations showed significant relationships between visual analog scales and body-related attentional bias measures, compared to other eating disorder measures. These results provide evidence about the usefulness of virtual reality-based body exposure to elicit FGW and other body-related disturbances in AN patients. Thus, it may be a suitable intervention for reducing these emotional responses and for easing weight recovery.

Body-Related Attentional Bias among Men with High and Low Muscularity Dissatisfaction

Previous studies have found gender differences in body-related attentional bias (AB), with women showing AB towards weight-related body parts. However, few studies have assessed the relationship between body-related AB and muscularity dissatisfaction (MD) in men. This study aimed to assess the presence of muscle-related AB in men, using a combination of a virtual reality (VR) embodiment-based technique and eye-tracking (ET) technology. Twenty men with high MD and 20 with low MD, owned a virtual avatar that had the same silhouette and body mass index as the participant. To analyze the gaze data, muscle-related areas of interest (M-AOIs) and nonmuscle-related areas of interest (NM-AOIs) were defined. The complete fixation time and the number of fixations on each AOI were recorded. Mixed between (group)-within (AOI_condition) analyses of variance showed a statistically significant interaction between group and time (p < 0.05) in both AB measures. Follow-up analyses revealed an AB towards M-AOIs only in men with high MD. Overall, men with high MD spent more time looking and displayed a higher number of fixations on M-AOIs, specifically the chest and shoulders, compared to men with low MD. This study provides new information about the relationship between MD and body-related AB in men. Combining VR with ET technologies presents interesting opportunities in the study of body image in men.

Body-related attentional bias as mediator of the relationship between body mass index and body dissatisfaction

Body image disturbance, consisting of an affective (body dissatisfaction) and perceptual (body distortion) component, is not only found in eating disorders, but is also present in healthy individuals, affecting their psychological well-being and everyday life. A higher body mass index is associated with higher body dissatisfaction, whereas results in relation to body distortion are mixed. Furthermore, body dissatisfaction is associated with a weight-related attentional bias. This study aimed to investigate the mediating role of a weight-related attentional bias in the relationship between body mass index and body image disturbance. Forty-one college women took part in a virtual reality and eye tracking procedure, in which the illusion of owning a virtual avatar with their body measurements was induced. During this procedure, body-related attentional bias was measured and afterwards body image disturbance was assessed. Mediation analysis revealed that weight-related attentional bias mediated the relationship between body mass index and body dissatisfaction (but not distortion). These findings suggest that modifying weight-related attentional bias would be a useful treatment target for improving body dissatisfaction. In addition, virtual reality technology could serve as an innovative method for modifying attentional bias in an ecologically valid way. HIGHLIGHTS: This Virtual Reality and Eye-Tracking study expands our knowledge about the relation between body mass index, body-related attention and body image disturbances. The results suggest that attentional bias towards weight-related body parts mediates the relation between BMI and body dissatisfaction. On the contrary, the relation between BMI and body distortion was not significant.

Introduction to the special issue on advancing assessment of, and interventions for, eating disorders via innovative uses of technology

The aim of this editorial is to introduce a Special Issue of the International Journal of Eating Disorders on "Advancing Assessment of, and Interventions for, Eating Disorders via Innovative Uses of Technology." The 10 contributions to the Special Issue focus on the following main questions: (a) How can we optimize technology-enhanced interventions for eating disorders? (b) To what extent can technology help professionals to reach underserved populations? (c) How can innovative technology-enhanced tools improve assessment and treatment of eating disorders? The findings cumulatively suggest that technology can play a critical role in the detection and treatment of eating disorders, and may be used to enhance understanding of the etiology, maintenance, and course of these conditions. The contributions to this Special Issue have important implications for the conceptualization, design, and evaluation of technology-enhanced interventions as well as for the optimization of current assessment methods. Hopefully, they will stimulate future research in this quickly evolving field.