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Introduction: Social media use and vaping nicotine are highly prevalent in the daily lives of young adults, especially among Mexican-American college students. The excessive and compulsive use of social media platforms, coupled with the urge to stay continuously connected, can lead to problematic social media use. To date, no studies have explored the impact of problematic social media use on the daily patterns of vaping among this vulnerable population. Methods: In Spring 2023, we employed Ecological Momentary Assessment over a period of 14 days to collect real-time daily data on participants' social media use and vaping behaviors via a mobile phone-based application. Participants were 51 Mexican-American college students aged 18-25 years, 72.5% female, who were current vapers. We used generalized linear regression models to examine differences in vaping behaviors among participants with and without problematic social media use. All regression models adjusted for age, sex, and SES. Results: Participants with problematic social media use vaped on an average of 5.9 days compared to 5.7 days reported by those without problematic social media use (p < .05). Problematic social media use is associated with more frequent daily vaping [b = 0.03; 95% CI: 0.02-0.05], increased number of days vaping [b = 0.14; 95% CI: 0.07-0.20], and vaping higher nicotine concentrations [b = 0.08; 95% CI: 0.03-0.14]. Conclusion: Results suggest that problematic social media use significantly increases the risk of daily vaping among Mexican-American college students. Findings highlight the need to strengthen digital resilience and social media literacy to help college students navigate and mitigate the risks of social media.

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Background: Mental disorders in university students are a growing attention problem in the international community due to their high prevalence and serious consequences. One possible reason is university students' difficulties in coping with stress. Repetitive negative thinking (RNT) is a transdiagnostic process that, when combined with stress, can lead to the development of various disorders. We aim to determine the effect of stress and RNT on predicting various mental health syndromes in university students across 7 days. Method: Prospective observational study using Momentary Ecological Assessment (EMA) with the OURMIND Mobile App. On day one, 238 university students responded to the SCL-90R questionnaire for symptoms of depression, anxiety, hostility, obsession, psychoticism, paranoia, somatization, and interpersonal sensitivity; RNT styles questionnaires, RRS for rumination and negative reflection, PSWQ for worry; SISCO-II for term academic stress, and sociodemographic. EMA consisted of five assessments a day for 6 days; each time, the students answered items about academic and non-academic stress (EMA-stress), reactive RNT duration and intrusiveness (EMA-RNT process), and reactive RNT rumination, reflection, and worry (EMA-RNT content). On day eight, symptoms were re-assessed. Seven hierarchical stepwise linear regression models were used to test the predictive power of the study variables in the development of SCL-90R symptoms. Results: When comparing models, adding baseline symptoms increased the models' predictive power in all symptom groups. In most cases, including EMA-stress generated greater predictive power, except for paranoia and interpersonal sensitivity. Adding the EMA-RNT process increased the prediction of paranoia and obsessive symptoms; for hostility symptoms, RNT styles increased predictive power. For the final regression models, considering the initial symptoms, the EMA-RNT process predicted the progression of symptoms in six out of eight groups, while EMA-non-academic stress predicted the remaining two. Additionally, living with other relatives or friends was a predictor of depressive symptoms. Discussion: The stress of university life impacts the development of psychiatric symptoms in university students. These results provide evidence of RNT as a transdiagnostic process in several syndromic groups. Universal preventive programs should consider the impact of academic and non-academic stress on university students' mental health. Targeting RNT would also benefit selective preventive interventions.

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Ecological momentary assessment (EMA) allows measuring intra-individual processes moment by moment, identifying and modeling, in a naturalistic way, individual levels and changes in different psychological processes. However, active EMA requires a high degree of adherence, as it implies a significant burden for patients. Moreover, there is still no consensus on standardized procedures for implementation. There have been few results in detecting desirable characteristics for the design and implementation of an EMA device. Studies that address these issues from the perspectives of participants in psychotherapeutic processes are needed. To analyze the perspectives of patients, therapists and supervisors on the implementation of an EMA device in a psychotherapeutic treatment for depression. The sample will include eight patients, eleven therapists and five supervisors, taken from a research project that implemented an EMA system for monitoring the dynamics of affectivity at the beginning of psychotherapies for depression. Semi-structured interviews specific to each group are being conducted and analyzed from a qualitative approach based on consensual qualitative research (CQR). Participants reported having a positive evaluation of the study's informational resources and implementation. Difficulties were expressed in responding in the morning hours and the importance of having a customized EMA that is tailored to the needs of the patients was expressed. Furthermore, patients and therapists agreed that the impact of the use of the monitoring system on treatment was neutral or positive. In contrast, patients considered the EMA to be positive for their daily life.

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BACKGROUND: Awake Bruxism (AB) management includes cognitive and behavioural changes. Digital and analogic tools can be used to remind the individual to control/avoid AB behaviours. However, no study addressed both tools together. OBJECTIVE: To compare the efficacy of the combination of digital (smartphone application) and analogic (adhesive reminders) tools versus digital tool alone for AB management. METHODS: Seventy-two individuals diagnosed with probable AB were divided into 3 groups: Group 1 (n = 24), used both digital and analogic tools during 30 days; Group 2 (n = 24), used only a digital tool during 30 days and Group 3 (n = 24), used only a digital tool for the first 15 days and then added the analogic tool for 15 days. The AB frequency was measured in real-time with a smartphone app, which sent alerts asking the individuals if they were doing any AB behaviours (bracing, teeth contact, clenching or grinding). Groups were compared using one-way ANOVA and before-after adding an analogic tool (group 3) by paired t-test, considering α = 0.05. RESULTS: All groups showed a decrease in AB behaviours at the end of the evaluation period. Group 1 (digital and analogic tools) showed the lowest average of AB behaviours among all groups; however, statistically significant differences were found only for the comparison between groups 1 and 2. In group 3, a significantly greater reduction in AB behaviours was found after combining both approaches. CONCLUSION: The combination of digital and analogic tools showed the greatest reduction of AB frequency and can be recommended for AB control.

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A consistent association has been observed between internet addiction and symptoms of social anxiety. However, there is a lack of empirical research that delves into potential explanations for this relationship and its directionality, making it difficult to translate findings into development of interventions for social anxiety that account for technology-related behaviors. The present study aimed to evaluate the longitudinal dynamics between internet addiction, symptoms of social anxiety, avoidance of social interactions, and using the internet to cope with loneliness. By means of an ecological momentary assessment study, we evaluated a sample of 122 young adults from Chile using intensive self-report measurements five times a day, for a period of 10 days. Using mixed-effects models, we examined the directionality between internet addiction and symptoms of social anxiety, together with an explanation of their relationship. Results indicate that internet addiction antecedes symptoms of social anxiety; however, the reverse relationship was not observed. Furthermore, instances where individuals avoided social interactions or used the internet to cope with loneliness were predictive of later increases in levels of internet addiction, suggesting a vicious cycle. Significant heterogeneity was observed in these effects, highlighting the need for a more personalized approach when including technology-related behaviors in social anxiety interventions. Theoretical and clinical implications are discussed.

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The COVID-19 pandemic was a source of significant stress due to health and safety concerns and measures to control the virus' spread, such as mobility restrictions. This measure was especially demanding for parents with school aged children, who had to find new work-family balance as their children participate in online education while attempting to work remotely. To evaluate parents' stress trajectories during the pandemic, we conducted Ecological Momentary Assessments (EMAs) during lockdown for 29 days in 68 families in Santiago, Chile. In addition, we evaluated the role of educational level and income, co-parenting, and number of children in parents' stress trajectories. Our results showed that during the first weeks of lockdown expected protective factors (i.e., income and co-parental support) were not able to influence parents' daily stress management. Moreover, parents with higher educational levels reported worse stress adaptation than less educated parents. On the other hand, co-parental conflict was significantly associated with parent's stress. Our study captured an acute response to COVID-19 related challenges. This study contributes to understanding how parents adjust to stress during adverse circumstances such as the COVID-19 pandemic.

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BACKGROUND: Oral mucosa indentations can be signs of awake bruxism (AB) in adults, but this association has not yet been verified in adolescents. OBJECTIVES: To evaluate the frequency of AB in adolescents and determine whether there is an association between AB and oral mucosa indentation. METHODS: This study enrolled 66 high school students, mean age of 16.9 (±0.54) years. Clinical inspection was performed to assess the presence or absence of tongue, cheek and lip mucosa indentation. AB was assessed by the Ecological Momentary Assessment method using the WhatsApp mobile app. Messages were sent 15 times a day, 7 days, between 8:00 AM and 7:00 PM at random times to choose one of the five oral behaviours: teeth contact, teeth clenching, teeth grinding, mandible bracing and relaxed jaw muscles. The non-parametric Mann-Whitney U-test for independent samples, Friedman test for paired samples, Friedman pairwise multiple comparisons non-parametric test, Pearson's chi-squared tests, and z-test of comparisons between two proportions were performed (p < .05). RESULTS: During the week the frequency of AB behaviours was 56.20%, teeth contact was the most frequent (37.68% ± 22.26%), significantly more frequent than other AB behaviours; there was a greater frequency of cheek indentation (27.27%) and no difference between genders in oral behaviours and indentations (p > .05). A higher frequency of AB behaviours was observed in individuals with a greater frequency of cheek indentation (p < .05). CONCLUSIONS: Teeth contact and cheek indentation were the most frequent conditions among adolescents and AB behaviours are associated with this indentation.

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BACKGROUND: Borderline personality disorder (BPD) is characterized by frequent and intense moment-to-moment changes in affect, behavior, identity, and interpersonal relationships, which typically result in significant and negative deterioration of the person's overall functioning and well-being. Measuring and characterizing the rapidly changing patterns of instability in BPD dysfunction as they occur in a person's daily life can be challenging. Ecological momentary assessment (EMA) is a method that can capture highly dynamic processes in psychopathology research and, thus, is well suited to study intense variability patterns across areas of dysfunction in BPD. EMA studies are characterized by frequent repeated assessments that are delivered to participants in real-life, real-time settings using handheld devices capable of registering responses to short self-report questions in daily life. Compliance in EMA research is defined as the proportion of prompts answered by the participant, considering all planned prompts sent. Low compliance with prompt schedules can compromise the relative advantages of using this method. Despite the growing EMA literature on BPD in recent years, findings regarding study design features that affect compliance with EMA protocols have not been compiled, aggregated, and estimated. OBJECTIVE: This systematic meta-analytic review aimed to investigate the relationship between study design features and participant compliance in EMA research of BPD. METHODS: A systematic review was conducted on November 12, 2021, following the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) and MOOSE (Meta-analyses of Observational Studies in Epidemiology) guidelines to search for articles featuring EMA studies of BPD that reported compliance rates and included sufficient data to extract relevant design features. For studies with complete data, random-effect models were used to estimate the overall compliance rate and explore its association with design features. RESULTS: In total, 28 peer-reviewed EMA studies comprising 2052 participants were included in the study. Design features (sampling strategy, average prompting frequency, number of items, response window, sampling device, financial incentive, and dropout rate) showed a large variability across studies, and many studies did not report design features. The meta-analytic synthesis was restricted to 64% (18/28) of articles and revealed a pooled compliance rate of 79% across studies. We did not find any significant relationship between design features and compliance rates. CONCLUSIONS: Our results show wide variability in the design and reporting of EMA studies assessing BPD. Compliance rates appear to be stable across varying setups, and it is likely that standard design features are not directly responsible for improving or diminishing compliance. We discuss possible nonspecific factors of study design that may have an impact on compliance. Given the promise of EMA research in BPD, we also discuss the importance of unifying standards for EMA reporting so that data stemming from this rich literature can be aggregated and interpreted jointly.

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Self-reported awake bruxism (AB) has been associated with temporomandibular disorders (TMD). However, the daily amount of AB behavior has not been quantified in pain patients. Therefore, this study aimed to assess AB frequency in patients with myofascial pain and temporomandibular joint (TMJ) pain and compare it to a group of pain-free individuals. Eighty-four individuals belonging to either a TMD group (n = 54) or a healthy control group (n = 30) were selected. AB frequency was obtained by ecological momentary assessment with a dedicated smartphone application that sent sound alerts at random intervals during the day for one week. Upon receiving the alert, the volunteer reported the current muscular condition and/or the teeth position, i.e., relaxed jaw muscle, jaw bracing, teeth contact, teeth clenching, or teeth grinding. Data were evaluated by independent t-test (α = 0.05). During the seven days, AB frequency was 62.1% ± 26.8% for TMD patients and 36.2% ± 27.3% for pain-free subjects (p < 0.001). Mandible bracing was most common in the TMD group (p < 0.001), while teeth contact, clenching, and grinding did not differ between groups. Moreover, no differences were found in AB frequency between myofascial pain and TMJ pain patients. Therefore, TMD patients have higher AB frequency characterized by jaw bracing, irrespective of pain location.

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Abstract The present cross-sectional study aimed to analyze the relationship between awake bruxism and fatigue of masticatory muscles in healthy young adults. For this purpose, 121 graduate students participated in this study. Frequency of awake bruxism was collected for 7 consecutive days by ecological momentary assessment (EMA) using an online survey (mentimeter). Muscle fatigue was tested one day after EMA assessment, which consisted of voluntarily and continuously clenching at 30% (kgf/cm2) of maximum bite force (MBF) until exhaustion. The percentage of change in MBF after the clenching task, as compared to the MBF before the clenching task was measured. The average frequency of awake bruxism was 45.5% during 7 days. Sustained clenching resulted in a significant reduction in MBF values in the total sample (p < 0.05). Nevertheless, no significant correlation was found between frequency of awake bruxism behaviors and percent of change in MBF and endurance time during the fatigue test. Therefore, it can be concluded that young healthy adults present a relatively high frequency of awake bruxism behaviors that do not seem to impact the degree of masticatory muscle fatigue.

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Background. Bruxism is a topic of much controversy and is continually debated in the field of dentistry due to the multifaceted clinical relationship that results in painful conditions and consequences to patients. The aim of this review was to determine the effectiveness of a smartphones app in monitoring awake bruxism. Methods. PROSPERO (registration number: CRD42021271190). The eligibility criteria were as followed: observational studies, case-control   studies, studies that reported odds ratios, and studies on awake bruxism. The following keywords were searched: [smartphones apps] AND [apps] AND [awake bruxism], OR [sleep bruxism], OR [sleep hygiene], OR [parasomnias], AND [habits]. Results. All the authors agree that the use of the smartphone app allows controlled awake bruxism monitoring. The results also show that                                     the two bruxism are interactive, having negative synergism and substantially increasing the risks of temporomandibular joint pain and temporomandibular disorders. Discussion. In the AB it was possible to identify 70% symptoms through the different frequencies of behavior provided by the App, within the present technological tools have become daily in young and adult population. The app is effective and easy to use by patients, effectively limiting biases the time of evaluation.

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BACKGROUND: Health professionals initiating mobile health (mHealth) interventions may choose to adapt apps designed for other activities (eg, peer-to-peer communication) or to employ purpose-built apps specialized in the required intervention, or to exploit apps based on methods such as the experience sampling method (ESM). An alternative approach for professionals would be to create their own apps. While ESM-based methods offer important guidance, current systems do not expose their design at a level that promotes replicating, specializing, or extending their contributions. Thus, a twofold solution is required: a method that directs specialists in planning intervention programs themselves, and a model that guides specialists in adopting existing solutions and advises software developers on building new ones. OBJECTIVE: The main objectives of this study are to design the Experience Sampling and Programmed Intervention Method (ESPIM), formulated toward supporting specialists in deploying mHealth interventions, and the ESPIM model, which guides health specialists in adopting existing solutions and advises software developers on how to build new ones. Another goal is to conceive and implement a software platform allowing specialists to be users who actually plan, create, and deploy interventions (ESPIM system). METHODS: We conducted the design and evaluation of the ESPIM method and model alongside a software system comprising integrated web and mobile apps. A participatory design approach with stakeholders included early software prototype, predesign interviews with 12 health specialists, iterative design sustained by the software as an instance of the method's conceptual model, support to 8 real case studies, and postdesign interviews. RESULTS: The ESPIM comprises (1) a list of requirements for mHealth experience sampling and intervention-based methods and systems, (2) a 4-dimension planning framework, (3) a 7-step-based process, and (4) an ontology-based conceptual model. The ESPIM system encompasses web and mobile apps. Eight long-term case studies, involving professionals in psychology, gerontology, computer science, speech therapy, and occupational therapy, show that the method allowed specialists to be actual users who plan, create, and deploy interventions via the associated system. Specialists' target users were parents of children diagnosed with autism spectrum disorder, older persons, graduate and undergraduate students, children (age 8-12), and caregivers of older persons. The specialists reported being able to create and conduct their own studies without modifying their original design. A qualitative evaluation of the ontology-based conceptual model showed its compliance to the functional requirements elicited. CONCLUSIONS: The ESPIM method succeeds in supporting specialists in planning, authoring, and deploying mobile-based intervention programs when employed via a software system designed and implemented according to its conceptual model. The ESPIM ontology-based conceptual model exposes the design of systems involving active or passive sampling interventions. Such exposure supports the evaluation, implementation, adaptation, or extension of new or existing systems.

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OBJECTIVE: To systematically review the publications on ecological momentary assessment (EMA) relating to physical activity (PA) behavior in order to classify the methodologies, and to identify the main mHealth technology-based tools and procedures that have been applied during the first 10 years since the emergence of smartphones. As a result of this review, we want to ask if there is enough evidence to propose the use of the term "mEMA" (mobile-based EMA). DESIGN: A systematic review according to PRISMA Statement (PROSPERO registration: CRD42018088136). METHOD: Four databases (PsycINFO, CINALH, Medline and Web of Science Core Collection) were searched electronically from 2008 to February 2018. RESULTS: A total of 76 studies from 297 potential articles on the use of EMA and PA were included in this review. It was found that 71% of studies specifically used "EMA" for assessing PA behaviors but the rest used other terminology that also adjusted to the inclusion criteria. Just over half (51.3%) of studies (39) used mHealth technology, mainly smartphones, for collecting EMA data. The majority (79.5%) of these studies (31 out of 39) were published during the last 4 years. On the other hand, 58.8% of studies that only used paper-and-pencil were published during the first 3 years of the 10-year period analyzed. An accelerometer was the main built-in sensor used for collecting PA behavior by means of mHealth (69%). Most of the studies were carried out on young-adult samples, with only three studies in older adults. Women were included in 60% of studies, and healthy people in 82%. The studies lasted between 1 and 7 days in 57.9%, and between three and seven assessments per day were carried out in 37%. The most popular topics evaluated together with PA were psychological state and social and environmental context. CONCLUSIONS: We have classified the EMA methodologies used for assessing PA behaviors. A total of 71% of studies used the term "EMA" and 51.3% used mHealth technology. Accelerometers have been the main built-in sensor used for collecting PA. The change of trend in the use of tools for EMA in PA coincides with the technological advances of the last decade due to the emergence of smartphones and mHealth technology. There is enough evidence to use the term mEMA when mHealth technology is being used for monitoring real-time lifestyle behaviors in natural situations. We define mEMA as the use of mobile computing and communication technologies for the EMA of health and lifestyle behaviors. It is clear that the use of mHealth is increasing, but there is still a lot to be gained from taking advantage of all the capabilities of this technology in order to apply EMA to PA behavior. Thus, mEMA methodology can help in the monitoring of healthy lifestyles under both subjective and objective perspectives. The tendency for future research should be the automatic recognition of the PA of the user without interrupting their behavior. The ecological information could be completed with voice messages, image captures or brief text selections on the touch screen made in real time, all managed through smartphone apps. This methodology could be extended when EMA combined with mHealth are used to evaluate other lifestyle behaviors.

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Disordered eating behaviors are prevalent in Mexican-American college-enrolled women and contribute to compromised physical and psychological health. Although disordered eating behaviors are multi-determined, few studies have examined individual difference factors that contribute to disordered eating behaviors in Mexican women beyond acculturation. Evidence suggests that individual differences in the constellation of identities may be an important factor influencing the disordered eating behaviors. We hypothesized that individual differences in the collection of identities (self-schemas) increases susceptibility to defining oneself as fat (fat self-schema) and contribute to disordered eating behaviors over time in Mexican American college women. A 12-month longitudinal design was used to measure the level of disordered eating behaviors at 5 points over 12 months in 477 Mexican American women. Identity properties (i.e., positive self-schemas, negative self-schemas, fat self-schema) were measured at baseline. Controlling for relevant covariates, latent growth curve models showed that Mexican American women with few positive and many negative self-schemas were more likely to define themselves as fat, which in turn, predicted purging and fasting/restricting behaviors across the year. However, identity properties were not predictive of binge eating and excessive exercise episodes. Interventions focused on development of positive self-schemas that reflect areas of interest and competence and the revision of negative self-schemas may protect against purging and fasting/restricting in Mexican American college-enrolled women.

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New technologies able to identify the sedentary behavior (SB), such as the Mobile Ecological Momentary Assessment (mEMA) still need to be investigated. The aim of this study was to describe SB in the physical, social, and environmental contexts and verify the agreement between the mEMA and accelerometry in the identification of SB in young adults. During 7 days, 123 young adults used concomitant mEMA and Actigraph wGT3xBT accelerometer. Data of 2262 mEMA prompts and respective count values in each minute (5 min previous to prompt) were included in the analyses. Descriptive and comparative statistics were used in analyses using the SPSS 20.0 software. The physical context (PC) at home was the highest occurrence of SB (46.3%) and the main activity was "watching TV/movies" (29.7%). The main social context (SC) related to SB was "staying alone" (49.6%). The main assertions related to the participants' environmental context (EC) were: "I appreciate the comfort of electronic devices when I am at home" (86.2%). mEMA identified the presence of SB in 78.1% of prompts, while accelerometry identified 70.9% (PABAK = 0.42). High values for the presence of SB were observed (sensitivity = 84%) and lower in the absence of SB (specificity = 38%). The study demonstrates the viability of mEMA use to obtain information about the occurrence of SB in contextual factors and good sensitivity to identify the presence of SB in young adults. The combined use of these methods is suggested in future studies about SB in young adults.

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Spatial orientation is a cognitive domain frequently impaired in Alzheimer's Disease and can be one of its earliest symptoms. OBJECTIVE: This paper describes the results of tolerability, sense of presence and usability of two immersive virtual reality tasks for the assessment of spatial orientation, using VR headset in adults. METHODS: 31 healthy adults recruited from university and the local community performed two experimental immersive virtual reality tasks of spatial orientation: the SOIVET-Maze for the assessment of allocentric to egocentric spatial abilities and the SOIVET-Route for the assessment of spatial memory and landmark recognition. Participants completed questionnaires about sense of presence, cybersickness symptoms, technology use profile and motion sickness history. Usability measures were assessed by spontaneous feedback from participants. RESULTS: All participants were able to understand the task instructions and how to interact with the system. Both tasks seemed to induce a strong sense of presence, as assessed by the Witmer and Singer Presence Questionnaires (M=128 and 143 for SOIVET-Maze and SOIVET-Route, respectively). The SOIVET-Route had a small numeric advantage over the SOIVET-Maze tolerability scores assessed by the Cybersickness Questionnaire (M=4.19, SD=5.576 and M=3.52, SD=6.418 for SOIVET-Maze and SOIVET-Route respectively). Also, there were no drop-outs on the SOIVET-Route due to tolerability issues, unlike the SOIVET-Maze, which had two drop-outs. However, this difference was not statistically significant (Z= -.901, p= 0.368, Wilcoxon signed-rank test).

A orientação espacial é um domínio cognitivo freqüentemente comprometido na doença de Alzheimer e pode ser um dos primeiros sintomas manifestados. OBJETIVO: Este artigo descreve os resultados de tolerabilidade, sensação de presença e usabilidade de duas tarefas imersivas de realidade virtual para avaliação da orientação espacial, utilizando óculos de RV em adultos. MÉTODOS: 31 adultos saudáveis, ​​recrutados entre estudantes universitários e da comunidade local, realizaram duas tarefas de realidade virtual imersiva para avaliação da orientação espacial: A tarefa SOIVET-Maze para avaliação da capacidade de transposição da orientação alocêntrica para egocêntrica e a tarefa SOIVET-Route para avaliação da memória espacial e reconhecimento de pontos de referência. Os participantes também responderam questionários sobre Sensação de Presença, Sintomas de cybersickness, Perfil de Uso de Tecnologia e Histórico de cinetose. Feedback espontâneo dos participantes foi utilizado como medida de usabilidade. RESULTADOS: Todos os participantes conseguiram compreender as instruções da tarefa e como interagir com o sistema. Ambas tarefas parecem induzir forte sensação de presença, avaliada pelo Questionário de Presença de Witmer e Singer (M=128 e 143 para SOIVET-Maze e SOIVET-Route, respectivamente). A tarefa SOIVET-Route teve uma pequena vantagem numérica em relação à tarefa SOIVET-Maze na pontuação de tolerabilidade avaliada pelo Questionário de Cybersickness (M=4,19, SD=5,576 e M=3,52, SD=6,418 para SOIVET-Maze e SOIVET-Route respectivamente). Além disso, não houve desistências na SOIVET-Route devido a problemas de tolerabilidade, ao contrário da SOIVET-Maze, que teve dois drop-outs. No entanto, essa diferença não foi estatisticamente significativa (Z= -901, p=0,368, teste de postos sinalizados de Wilcoxon).

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Abstract Spatial orientation is a cognitive domain frequently impaired in Alzheimer's Disease and can be one of its earliest symptoms. Objective: This paper describes the results of tolerability, sense of presence and usability of two immersive virtual reality tasks for the assessment of spatial orientation, using VR headset in adults. Methods: 31 healthy adults recruited from university and the local community performed two experimental immersive virtual reality tasks of spatial orientation: the SOIVET-Maze for the assessment of allocentric to egocentric spatial abilities and the SOIVET-Route for the assessment of spatial memory and landmark recognition. Participants completed questionnaires about sense of presence, cybersickness symptoms, technology use profile and motion sickness history. Usability measures were assessed by spontaneous feedback from participants. Results: All participants were able to understand the task instructions and how to interact with the system. Both tasks seemed to induce a strong sense of presence, as assessed by the Witmer and Singer Presence Questionnaires (M=128 and 143 for SOIVET-Maze and SOIVET-Route, respectively). The SOIVET-Route had a small numeric advantage over the SOIVET-Maze tolerability scores assessed by the Cybersickness Questionnaire (M=4.19, SD=5.576 and M=3.52, SD=6.418 for SOIVET-Maze and SOIVET-Route respectively). Also, there were no drop-outs on the SOIVET-Route due to tolerability issues, unlike the SOIVET-Maze, which had two drop-outs. However, this difference was not statistically significant (Z= -.901, p= 0.368, Wilcoxon signed-rank test).

Resumo A orientação espacial é um domínio cognitivo freqüentemente comprometido na doença de Alzheimer e pode ser um dos primeiros sintomas manifestados. Objetivo: Este artigo descreve os resultados de tolerabilidade, sensação de presença e usabilidade de duas tarefas imersivas de realidade virtual para avaliação da orientação espacial, utilizando óculos de RV em adultos. Métodos: 31 adultos saudáveis, ​​recrutados entre estudantes universitários e da comunidade local, realizaram duas tarefas de realidade virtual imersiva para avaliação da orientação espacial: A tarefa SOIVET-Maze para avaliação da capacidade de transposição da orientação alocêntrica para egocêntrica e a tarefa SOIVET-Route para avaliação da memória espacial e reconhecimento de pontos de referência. Os participantes também responderam questionários sobre Sensação de Presença, Sintomas de cybersickness, Perfil de Uso de Tecnologia e Histórico de cinetose. Feedback espontâneo dos participantes foi utilizado como medida de usabilidade. Resultados: Todos os participantes conseguiram compreender as instruções da tarefa e como interagir com o sistema. Ambas tarefas parecem induzir forte sensação de presença, avaliada pelo Questionário de Presença de Witmer e Singer (M=128 e 143 para SOIVET-Maze e SOIVET-Route, respectivamente). A tarefa SOIVET-Route teve uma pequena vantagem numérica em relação à tarefa SOIVET-Maze na pontuação de tolerabilidade avaliada pelo Questionário de Cybersickness (M=4,19, SD=5,576 e M=3,52, SD=6,418 para SOIVET-Maze e SOIVET-Route respectivamente). Além disso, não houve desistências na SOIVET-Route devido a problemas de tolerabilidade, ao contrário da SOIVET-Maze, que teve dois drop-outs. No entanto, essa diferença não foi estatisticamente significativa (Z= -901, p=0,368, teste de postos sinalizados de Wilcoxon)

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Current mobile devices allow the execution of sophisticated applications with the capacity for identifying the user situation, which can be helpful in treatments of mental disorders. In this paper, we present SituMan, a solution that provides situation awareness to MoodBuster, an ecological momentary assessment and intervention mobile application used to request self-assessments from patients in depression treatments. SituMan has a fuzzy inference engine to identify patient situations using context data gathered from the sensors embedded in mobile devices. Situations are specified jointly by the patient and mental health professional, and they can represent the patient's daily routine (e.g., "studying", "at work", "working out"). MoodBuster requests mental status self-assessments from patients at adequate moments using situation awareness. In addition, SituMan saves and displays patient situations in a summary, delivering them for consultation by mental health professionals. A first experimental evaluation was performed to assess the user satisfaction with the approaches to define and identify situations. This experiment showed that SituMan was well evaluated in both criteria. A second experiment was performed to assess the accuracy of the fuzzy engine to infer situations. Results from the second experiment showed that the fuzzy inference engine has a good accuracy to identify situations.

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OBJECTIVE: A growing body of research seeks to understand the relationship between mood and eating behaviors. Ecological Momentary Assessment (EMA) methods provide a method for assessing these processes in natural settings. We used EMA to examine the relationship between mood and eating behaviors in everyday life among women with subclinical disordered eating behaviors. METHOD: Participants (N = 127, age M = 19.6 years, BMI M = 25.5) completed five daily EMA reports on palmtop computers for 1 week. Assessments included measures of negative affect (NA) and eating-related behavior during eating (eating large amounts of food, loss of control over eating, and restricting food intake) and noneating episodes (skip eating to control weight/shape). Time-lagged multilevel models tested mood-eating behavior relationships. RESULTS: Higher NA did not precede any unhealthy eating and weight control behaviors. However, NA was higher when women reported eating large quantities of food, losing control over eating, and restricting food intake during their most recent eating episode, but not after skipping eating to control weight/shape. DISCUSSION: These findings elucidate the processes in daily life that may influence the development and maintenance of unhealthy eating and weight control behaviors that, in turn, can inform interventions.

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