Influence of cognition on the correlation between objective and subjective upper limb measures in people with multiple sclerosis.

BACKGROUND: A comprehensive assessment of upper limb (UL) function is mandatory in people with multiple sclerosis (PwMS), and the use of multiple objective and subjective measures is advisable. Findings on the role of cognitive impairment on the assessment of UL function are scant and inconclusive. The present study investigated the influence of cognitive function on the distribution of objective and subjective UL measures and on their association. METHODS: In the cross-sectional study, subjects with a diagnosis of MS, age ≥ 18 years, right-hand dominance, no presence of orthopedic UL impairment, or other neurological diseases were recruited. The assessment protocol included the Nine-Hole Peg Test (9-HPT), Box and Block Test (BBT), and hand grip strength (HGS), a validated PROM (MAM-36), and the Symbol Digit Modalities Test (SDMT). RESULTS: Two hundred forty-six PwMS were recruited (158 females, mean age = 51.65 ± 13.45 years; mean EDSS = 5.10 ± 1.88) Subject with mild-to-moderate cognitive impairment (SDMT ≤ - 2 SD of normative values) scored lower on the 9-HPT and higher on the BBT and MAM-36 when compared with subject with no cognitive impairment. Cognitive impairment showed a small but significant effect on the association between 9-HPT scores and the MAM-36. DISCUSSION: Findings suggest that cognitive impairment is associated with subjects' performance on 9-HPT, BBT, and MAM-36 (but not HGS), resulting in scores indicating a poorer UL function. Interestingly, cognitive impairment slightly affected the congruence between subjective and objective UL measures, although only minor differences in the correlation pattern across groups reporting different cognitive performances emerged.

Correlation between patient-reported manual ability and three objective measures of upper limb function in people with multiple sclerosis.

BACKGROUND AND PURPOSE: Upper limb (UL) function is often affected in people with multiple sclerosis (PwMS) and is typically assessed through objective measures, including the Nine Hole Peg Test (9-HPT), Box and Block Test (BBT), and Hand Grip Strength (HGS). It is important to include the subjective perspective of PwMS in the assessment. This study aims to evaluate associations between Manual Ability Measure-36 (MAM-36) and 9-HPT, BBT, and HGS in MS. METHODS: The cross-sectional study included five Italian centers. Inclusion criteria were age ≥ 18 years, MS diagnosis, and stable disease course. Exclusion criteria were bilateral UL paralysis, and concomitant orthopedic or neurological diseases. RESULTS: A total of 199 PwMS were included: 128 female, mean age = 50.7 ± 13.0 years, 119 relapsing-remitting MS (RRMS), 31 primary and 49 secondary progressive MS, mean disease duration = 14.0 ± 10.4, years, mean Expanded Disability Status Scale (EDSS) = 4.6 ± 2.0. The MAM-36 showed small correlations with 9-HPT, BBT, and HGS. Correlations between MAM-36 and 9-HPT and BBT were highest among subjects with EDSS ≥ 6 and progressive MS. MAM-36 and HGS showed the highest correlations in subjects with EDSS ≤ 5 and RRMS. Combining 9-HPT and HGS provided the strongest predictive power over the MAM-36. CONCLUSIONS: Correlations between objective measures and MAM-36 were small to moderate, meaning that objective measures do not match subjects' perception of UL function. The combination of 9-HPT and HGS measures can help improve the assessment of UL function in activities of daily living.

Evaluation of mild-to-moderate COVID-19 through dual-task paradigm: a longitudinal case-controlled study.

INTRODUCTION: Coronavirus disease (COVID-19) was associated with cognitive alterations affecting everyday life activities. These need input integration of both motor and cognitive systems. The study aim is to evaluate cognitive-motor interference phenomenon in previously independent patients with mild-to-moderate COVID-19 (PwMCOVID-19) compared with healthy controls (HC), through dual-task (DT) paradigm. METHODS: PwMCOVID-19 were included if being independent at home, had no previous referred cognitive impairment, mechanical ventilation or oxygen need. They were assessed at admission and after 6 months with a motor-cognitive DT test (counting backward by twos while walking 2 min). HC were enrolled as control group. Differences between single-task (ST) and DT performance, DT effect (DTE) and task prioritization amongst groups and during time points were analyzed. RESULTS: One-hundred PwMCOVID-19 [mean age=67.32(12.08) years; 53 M/47 F] and 39 HC [mean age=63.11(9.90) years; 20 M/19 F] were recruited. Upon T0, PwMCOVID-19 showed lower cognitive and motor DT performances than ST and HC. Mutual interference pattern was predominant in PwMCOVID-19. At T1, 41 PwMCOVID-19 were examined [mean age=64.85(10.75); 22 M/19 F]. They had a worse DT performance compared to ST, although DT improved at T1. A stronger cognitive ST-DT difference was present at T0, compared to ST-DT difference at T1, while motor ST-DT difference was unchanged over time in PwCOVID-19. CONCLUSION: In PwMCOVID-19, there is an impairment of DT counting while walking at baseline and after 6 months from hospitalization, with a more pronounced DT mutual interference pattern at T0. After 6 months, the motor and cognitive ST and DT performances ameliorated, not reaching the HC level.

Predicting Big Five personality traits from smartphone data: A meta-analysis on the potential of digital phenotyping.

OBJECTIVE: Since the first study linking recorded smartphone variables to self-reported personality in 2011, many additional studies have been published investigating this association. In the present meta-analyses, we aimed to understand how strongly personality can be predicted via smartphone data. METHOD: Meta-analytical calculations were used to assess the association between smartphone data and Big Five traits. Because of the lack of independence of many included studies, analyses were performed using a multilevel approach. RESULTS: Based on data collected from 21 distinct studies, extraversion showed the largest association with the digital footprints derived from smartphone data (r = .35), while remaining traits showed smaller associations (ranging from 0.23 to 0.25). For all traits except neuroticism, moderator analyses showed that prediction performance was improved when multiple features were combined together in a single predictive model. Additionally, the strength of the prediction of extraversion was improved when call and text log data were used to perform the prediction, as opposed to other types of smartphone data CONCLUSIONS: Our synthesis reveals small-to-moderate associations between smartphone activity data and Big Five traits. The opportunities, but also dangers of the digital phenotyping of personality traits based on traces of users' activity on a smartphone data are discussed.

Sense of Belonging at School and on Social Media in Adolescence: Associations with Educational Achievement and Psychosocial Maladjustment.

Belongingness is a key factor in the psychological development and school adjustment of children and adolescents. Going beyond the existing literature, the present study evaluated the association between two sources of belongingness, namely sense of belonging at school (SOBAS) and on social media (SOBOSM), and both psychological maladjustment and educational achievement. Sample consisted of 698 early-to-late adolescents (52.3% female, mean age = 13.79 ± 2.09). Both SOBAS and SOBOSM showed negative direct associations with psychological maladjustment. SOBOSM showed a negative direct association with educational achievement. Social media addiction mediated the links between both SOBAS and SOBOSM and psychological maladjustment and education achievement. Overall, findings suggest that adolescents reporting high sense of belonging both at school and on social media may at lower risk for psychological maladjustment. However, adolescents reporting low SOBAS and high SOBOSM may also be a greater risk of SMA, possibly impacting their psychological health and school adjustement.

Temporal trends in health worker social media communication during the COVID-19 pandemic.

During the COVID-19 pandemic, healthcare professionals are exposed to extreme hazards and workplace stressors. Social media postings by physicians and nurses related to COVID-19 from January 21 to June 1, 2020 were obtained from the Reddit website. Topic modeling via Latent Dirichlet Allocation (LDA) using a machine-learning approach was performed on 1723 documents, each posted in a unique Reddit discussion. We selected the optimal number of topics using a heuristic approach based on examination of the rate of perplexity change (RPC) across LDA models. A two-step multiple linear regression was done to identify differences across time and between nurses versus physicians. Prevalent topics included excessive workload, positive emotional expression and collegial support, anger and frustration, testing positive for COVID-19 and treatment, use of personal protective equipment, impacts on healthcare jobs, disruption of medical procedures, and general healthcare issues. Nurses' posts initially reflected concern about workload, personal danger, safety precautions, and emotional support to their colleagues. Physicians posted initially more often than nurses about technical aspects of the coronavirus disease, medical equipment, and treatment. Differences narrowed over time: nurses increasingly made technical posts, while physicians' posts increasingly were in the personal domain, suggesting a convergence of the professions over time.

Exploring the Associations Between Self-reported Tendencies Toward Smartphone Use Disorder and Objective Recordings of Smartphone, Instant Messaging, and Social Networking App Usage: Correlational Study.

BACKGROUND: Social communication via instant messaging (IM) and social networking (SN) apps makes up a large part of the time that smartphone users spend on their devices. Previous research has indicated that the excessive use of these apps is positively associated with problematic smartphone use behaviors. In particular, image-based SN apps, such as Instagram (Facebook Inc) and Snapchat (Snap Inc), have been shown to exert stronger detrimental effects than those exerted by traditional apps, such as Facebook (Facebook Inc) and Twitter (Twitter Inc). OBJECTIVE: In this study, we investigated the correlation between individuals' tendencies toward smartphone use disorder (SmUD) and objective measures of the frequency of smartphone usage. Additionally, we put to test the hypothesis that the pathway linking the frequency of actual smartphone usage to self-reported tendencies toward SmUD was mediated by the increased frequency of IM and SN app usage. METHODS: We recruited a sample of 124 adult smartphone users (females: 78/124, 62.9%; age: mean 23.84 years, SD 8.29 years) and collected objective information about the frequency of smartphone and SN app usage over 1 week. Participants also filled in a self-report measure for assessing the multiple components of tendencies toward SmUD. Bivariate associations were investigated by using Spearman correlation analyses. A parallel mediation analysis was conducted via multiple regression analysis. RESULTS: The frequency of smartphone usage, as well as the use of IM apps (Messenger, Telegram, and WhatsApp [Facebook Inc]), Facebook, and image-based apps (Instagram and Snapchat), had significant positive associations with at least 1 component of SmUD, and the cyberspace-oriented relationships factor exhibited the strongest associations overall. We found support for an indirect effect that linked actual smartphone usage to SmUD tendencies via the frequency of the use of image-based SN apps. CONCLUSIONS: Our novel results shed light on the factors that promote SmUD tendencies and essentially indicate that image-based SN apps seem to be more strongly associated with problematic smartphone behaviors compared to IM apps and traditional SN apps, such as Facebook.

Student-teacher conflict moderates the link between students' social status in the classroom and involvement in bullying behaviors and exposure to peer victimization.

INTRODUCTION: Student-teacher relationships have been shown to influence bullying-related behaviors in students. In this study we considered the moderating role of student-teacher conflict and students' social status in the classroom and involvement in bullying behaviors and peer victimization. METHODS: Sample consisted of 1742 students (47.2% females, mean age = 10.79; SD = 1.36; range = 8-14) clustered in 113 classrooms, of which 1017 (58.4%) attended primary schools and 725 (41.6%) attended lower secondary schools. We implemented a series of multilevel analyses aimed at determining the role of student-teacher conflict, and students' social status among classroom peers (i.e., average, popular, rejected, neglected, and controversial statuses), as well their interaction, in influencing verbal, physical, and social forms of bullying and victimization at school. RESULTS: Student-teacher conflict had a significant positive effect on all bullying and victimization variables. Regarding students' social status, rejected students showed increased bullying and victimization when compared with average students, except in social bullying. Significant interactions emerged indicating that a highly conflictual student-teacher relationship exacerbated bullying behaviors and the risk of victimization among rejected students. Additionally, popular students who had conflictual relationship with their teachers were more likely to engage in physical bullying then average students. CONCLUSIONS: Our study suggests the importance of low conflictual student-teacher relationships in acting as a buffer for aggressive student-student interactions in the classroom, especially when these interactions involve students rejected by their classroom peers.

Italian translation and psychometric validation of the Manual Ability Measure-36 (MAM-36) and its correlation with an objective measure of upper limb function in patients with multiple sclerosis.

BACKGROUND: Multiple sclerosis (MS) is a chronic autoimmune disease of the central nervous system with an unpredictable course. During its course, deficits affecting upper limb functions may occur. Hence, there is a need for self-administered scales providing a comprehensive assessment of upper limb functions. The Manual Ability Measure-36 (MAM-36), which investigates patients' performance in activities of daily living requiring upper limb function, has not been adapted and validated in the Italian context. OBJECTIVES: We develop an Italian translation and validation of the MAM-36 in a population of people with MS (PwMS), explore its psychometric properties and investigate its associations with clinical data and the Nine Hole Peg Test (9-HPT). RESEARCH PLAN AND METHODS: The multicentre study involved five Italian neurological centres. Subjects were evaluated using EDSS, 9-HPT and the MAM-36 scale. We used confirmatory factor analysis and Rasch analysis to investigate the properties of the MAM-36. RESULTS: We enrolled 218 PwMS. Results supported the unidimensionality of the MAM-36, and adequate functioning of rating scale and items. Additionally, the MAM-36 showed weak negative associations with age and disease duration, and moderate associations with EDSS and 9-HPT scores. DISCUSSION: The adapted MAM-36 showed adequate psychometric properties. However, indications of problematic targeting to PwMS with low disability emerged. For this reason, use of the scale appears to be more suitable among patients with moderate-to-severe disability.

A Parent-Report Gender Identity Questionnaire for Children: Psychometric Properties of an Italian Version.

This article presents an Italian version of the Gender Identity Questionnaire for Children (GIQC) (Cohen-Kettenis et al., 2006; Johnson et al., 2004), a parent-report questionnaire covering a range of gender characteristics of children. We developed the GIQC-Italian version with the translation/back translation method and administered it, with a sociodemographic data sheet, to the parents of 1148 children aged 3-12 years (non-clinical sample). After obtaining descriptive data for each item, in line with Johnson et al. (2004), we examined dimensionality through exploratory factor analysis (EFA). Considering the results and that our sample was entirely non-clinical, we developed a new scoring procedure. The EFA on the new scores generated three scales: (1) a Female-Typical Behavior Scale, (2) a Male-Typical Behavior Scale, and (3) a Cross-Gender Scale. Additional EFA and confirmatory factor analyses (WLSMV estimator by using a 80/20 random-split-sample analytical approach) confirmed the three-factor solution as the best fitting dimensional structure for the revised GIQC. The Cronbach's α of the scales showed a satisfactory internal consistency. The frequency distribution of the scales scores showed it is possible to find atypical gender behavior and preferences in non-clinical samples. Independent samples t test confirmed a significant difference between boys' and girls' scores. Older children reported scores indicating less gender non-conforming characteristics than younger, except for the Female-Typical Behavior Scale in the girls' subsample. Results are discussed in the light of the existing literature about gender development. Our findings suggest that the GIQC-Italian version could be a useful tool for studying gender development in the Italian context.

Illness perception in systemic lupus erythematosus patients: The roles of alexithymia and depression.

OBJECTIVE: Alexithymia and depressive mood have been described as important dimensions of several medical diseases. Systemic lupus erythematosus is a chronic condition characterized by unpredictable clinical manifestations. The relationships between alexithymia, depression, and illness perception were examined in systemic lupus erythematosus patients. The interrelationships between psychological factors, such as alexithymia and depressive mood, were explored in systemic lupus erythematosus patients, and associations between these factors and illness perception in SLE were examined. We hypothesized that alexithymia and negative perceptions of illness would be associated in SLE patients, and depression would mediate this relationship. METHODS: Subjects were 100 consecutive systemic lupus erythematosus patients attending the outpatient clinic at the University of Pisa rheumatology unit. They completed the Toronto Alexithymia Scale, Beck Depression Inventory, and Revised Illness Perceptions Questionnaire. Clinical variables were measured, disease activity was evaluated using the European Consensus Lupus Activity Measure, and damage was assessed using the Systemic Lupus International Collaborative Clinics/American College of Rheumatology Damage Index. RESULTS: There were no associations between clinical variables, alexithymia, and depression. The results highlight the existence of significant links between alexithymia and illness perception for systemic lupus erythematosus patients. Moreover, our data suggest that some of these links are mediated by depression, which is the direct predictor of different aspects of perceived health. CONCLUSION: Our findings suggest that studying the role of psychological factors, such as alexithymia and depression, may contribute to a more comprehensive perspective of systemic lupus erythematosus, including their impact on patients' beliefs about treatment effectiveness and emotional adaptation to chronic disease.

Examining the Postdictive Validity of Self-Report Big Five Personality Traits with Objective Recordings of Online Behaviors: A Ten-Year Retrospective Study Using Facebook Page Likes.

The present study investigated the postdictive validity of self-report Big Five personality traits using over ten years of recording of online behaviors, namely Facebook Page Likes. We explored how personality traits correlate with interests and preferences expressed through Facebook Likes recorded up to ten years before the personality assessment and examined the consistency of these correlations over time. The recruited sample consisted of 601 adult Facebook users, predominantly young adults, with 73.70 % female and 26.30 % male participants. Facebook Page Likes data were analyzed using topic modeling techniques to extract meaningful indicators of individual difference in user interests. Findings revealed significant associations between personality traits and participants' interests as expressed using Likes over ten years of online activity. Conscientiousness showed consistent negative correlations with leisure and entertainment interests. Openness to Experience positively correlated with interests in artistic and cultural fields, including non-profit organizations, theaters, musicians, and entertainment and media. Extraversion demonstrated positive correlations with social entertainment, such as nightclubs and restaurants. Agreeableness and Emotional Stability did not show significant average associations. There was a negative correlation between the number of Likes and Conscientiousness, suggesting that individuals that are more conscientious express fewer Page Likes. Conversely, a positive correlation existed between Page Likes and Openness. Overall, correlations were small but mostly consistent over time, although correlations with the Openness trait suggested a stronger association with more recent interests. This research underscores the enduring influence of personality on online behaviors, including activity on social media.

Involvement in cyberbullying events and empathy are related to emotional responses to simulated social pain tasks.

Introduction: This study aims to explore the relationship between cyberbullying involvement either as a perpetrator or a victim and emotional responses to virtual social exclusion and inclusion. Previous research has predominantly focused on the impacts of in-person bullying. Our study shifts this focus to the cyber realm. Methods: A total of 156 adolescents living in northern Italy were recruited (Mage: 12.26; SD = 0.87; 43% female). After completing measures of empathy and involvement in cyberbullying, adolescents participated in the cyberball tasks. Latent profile analysis was used to identify subgroups. Results: We found three groups: Class 3, reporting negative responses to the social exclusion tasks and positive responses to the social inclusion tasks; Class 1, reporting neutral emotional responses to social inclusion and negative emotional responses to social exclusion; and Class 2, showing neutral responses to 'social exclusion' tasks and strongly positive responses to 'social inclusion' tasks. Linear regression revealed that cyberbullies report a typical emotional response to exclusion and inclusion tasks (Class 3), whereas cybervictims are more likely to report negative responses to both exclusion and inclusion events (Class 1). High levels of empathy are associated with the manifestation of a typical emotional response (Class 3), in contrast to an impaired emotional response characterized by neutral or positive responses to conditions of 'social exclusion' and positive responses to conditions of 'social inclusion' (Class 2). Conclusion: Results underscore the complex interplay between cyberbullying roles and emotional responses to virtual social experiences. Theoretical implications and limitations of the research are discussed.

Instagram Stories Unveiled: Exploring Links with Psychological Distress, Personality, and Gender.

Instagram is one of the most used platforms, and ephemeral stories are proving to be the most used medium for users to share content on the platform. However, there have been few studies examining this type of content in relation to emotional well-being. This study examined the association between the number of published Instagram stories, psychological well-being, personality traits, and gender in a sample of 734 Instagram users from Italy, including 281 men and 453 women, with a mean age of 25.19 years (SD = 7.08). Participants were recruited online and asked to complete an online questionnaire. Differences were found between genders in terms of time spent on Instagram, but not in terms of the number of stories posted in the past week. In the overall sample, a small positive correlation was found between the number of Instagram stories posted and extraversion. When considering gender differences, small effect sizes were observed for emotional dysregulation, agreeableness, and neuroticism, indicating a stronger association with Instagram stories in the female group, and for openness, indicating a stronger association in the male group. Results of multiple regression analyses suggest that among females, psychological variables, including personality and emotional distress, may have a stronger association with Instagram stories. To our knowledge, this is the first study to report these differences. The findings help to clarify how certain characteristics of social media platforms relate to psychological well-being and personality differently in men and women in their journey to using social media.

Correction: Fabris et al. Exploring Multivariate Profiles of Psychological Distress and Empathy in Early Adolescent Victims, Bullies, and Bystanders Involved in Cyberbullying Episodes. Int. J. Environ. Res. Public Health 2022, 19, 9871.

In the published publication [...].

The correlation between 9-HPT and patient-reported measures of upper limb function in multiple sclerosis: a systematic review and meta-analysis.

Upper limb function is one of the most affected domains in people with multiple sclerosis (PwMS), as self-reported by 50% of patients. Heterogeneous results have been found about the correlation between objective and subjective upper limb function. The aim of the present study is to perform a systematic review and meta-analysis of studies presenting data on the strength of association between the gold standard for 9-Hole Peg Test scores and Patient-Reported Outcome Measures (PROMs) of manual ability. Primary research studies including assessments of 9-Hole Peg Test scores and Patient-Reported Outcome Measures were searched in Scopus, Web of Science, and PubMed. Meta analytical calculations were performed using a random-effects model. We retrieved n = 27 studies including n = 75 distinct effect sizes (N of subjects = 3263). The central tendency analysis showed a strong correlation between 9-HPT scores and PROMs (r = 0.51, 95% CI [0.44, 0.58]). Moderator analysis showed the effect size to be significantly larger in studies with a mean or median EDSS level indicating severe disability. The publication bias hypothesis was not supported; instead, we noted that studies based on larger samples also tend to report stronger effect sizes. Results of the study indicate that the correlation between 9-HPT and PROMs is strong, although the constructs measured by these instrument does not fully overlap. The correlation between 9-HPT and PROMs was stronger in larger studies and when samples include a sizeable subgroup of PwMS with severe disability, pointing out the importance of sample diversity.

Smartphone and social media use contributed to individual tendencies towards social media addiction in Italian adolescents during the COVID-19 pandemic.

INTRODUCTION: Adolescents in remote education during the COVID-19 pandemic had few opportunities to socialize in person, resulting in a significant rise in the use of social networks or instant messaging applications. However, excessive use may promote addictive tendencies towards these platforms, with negative consequences for adolescents' well-being. AIMS: In this study, we investigated the prevalence of smartphone and social media application use in early-to-late adolescents in remote education. We examined the relative impact of different social media applications on self-reported tendencies toward social media addiction. METHODS: The sample consisted of 765 Italian adolescents (Age: M = 14.11 ± 2.2; 401 females) who reported on use of the smartphone, social media applications, namely WhatsApp, Facebook, Twitter, TikTok, Instagram, Snapchat, Telegram, Messenger, and YouTube. Mean differences in social media addiction across group reporting different patterns of social media use were investigated. The contribution of each social media application in predicting social media addiction was determined using a random forest algorithm. RESULTS: On average, adolescents using just WhatsApp and YouTube reported the lowest social media addiction compared with peers also using Instagram or TikTok (or both of them). Overall, we found time spent on smartphone, and use of TikTok were the strongest predictors of social media addiction, followed by use of Facebook, Telegram, Messenger, and Twitter. Instagram, Snapchat, and WhatsApp use showed no effect when examined together with the other platforms. CONCLUSIONS: Findings indicated that TikTok was the most addictive application during the COVID-19 pandemic, overshadowing other very popular applications with similar visual affordances.

Exploring Multivariate Profiles of Psychological Distress and Empathy in Early Adolescent Victims, Bullies, and Bystanders Involved in Cyberbullying Episodes.

(1) Background: Adolescents may be involved in cyberbullying as victims, perpetrators, or to a lesser extent, victim-perpetrators simultaneously. The present research investigated differences between participants acting in different bullying roles-namely, bully, victim, or bully/victim-and bystander roles-namely, defending, passive bystander, and passive/defending; (2) Methods: We used multivariate analysis of covariance to determine how, in the same individuals, direct involvement in cyberbullying episodes compares to participating in them as by-standers in relation to both psychological distress and empathy; (3) Results: Both victims and bully/victims were found to be at increased risk for suicidal ideation, internalizing and externalizing symptoms, and emotional dysregulation compared with students who were neither victims nor perpetrators of cyberbullying episodes. Additionally, victims showed higher empathy scores when compared with bullies and bully/victims. All bystander roles showed increased emotional dysregulation compared with uninvolved students, but no differences emerged on other psychological distress measures. Finally, defending bystanders showed increased cognitive empathy. (4) Conclusions: During early adolescence, the direct experience of cyberbullying, as a bully or a victim (or both), show a stronger association with psychological distress than the mere participation in cyberbullying as a witness, regardless of the witness acting defensive toward the victim, or passive. However, both cyberbullying and bystanding roles provide a similar (small) explicative power over empathy variables.

The representation of bullying in Italian primary school children: A mixed-method study comparing drawing and interview data and their association with self-report involvement in bullying events.

Bullying continues to be a social issue affecting millions of students of all ages worldwide. Research on bullying seems to be dominated by quantitative research approaches employed standardized categories and measures, ultimately limiting our knowledge about children's own view on bullying. Our research follows another direction, aiming to explore the representation of bullying in a sample of Italian primary school children by using and comparing the functioning of two qualitative research instruments: interviews, and children's drawings. In addition, aided by quantitative analyses, we aimed to investigate whether students' involvement in different bullying roles (as bullies, victims, or defenders), as measured by self-assessment, correlated with different characteristics of the representation of bullying emerging from children's drawings and interviews. We recruited a convenient sample of 640 primary school students (mean age = 9.44; SD = 0.67), 53.3% of whom were male. The results showed that all forms of bullying, i.e., physical, verbal, and social bullying, could be identified in interview and drawing data, although references to all types of bullying were more frequent in interview data. In terms of bullying criteria, the presence of a power imbalance between the bully and the victim was most frequently detected in both the interview data and the drawing data, while repetition was more easily detected in the interview data. The interview data showed that sadness was the most frequently reported victim emotions, followed by fear, anger, and lack of emotion. The drawing data showed a similar pattern, although victims were more frequently described as lacking emotions compared to the interview data. In both interview and drawing data, age and female gender were positively associated with references to verbal bullying, and negatively associated with references to physical bullying. Additionally, bully/victim children were more likely than uninvolved children to depict physical bullying in the drawings, while this association was not detected in interview data. In summary, our study shows that, compared with drawings, interviews tend to provide a more comprehensive view of children's own representation of bullying, while drawing data tend to show stronger connections with children's current personal experiences of bullying.

Mining Digital Traces of Facebook Activity for the Prediction of Individual Differences in Tendencies Toward Social Networks Use Disorder: A Machine Learning Approach.

More than three billion users are currently on one of Meta's online platforms with Facebook being still their most prominent social media service. It is well known that Facebook has designed a highly immersive social media service with the aim to prolong online time of its users, as this results in more digital footprints to be studied and monetized (via psychological targeting). In this context, it is debated if social media platforms can elicit addictive behaviors. In the present work, we demonstrate in N = 1,094 users that it is possible to predict from digital footprints of the Facebook users their self-reported addictive tendencies toward social media (R > 0.30) by applying machine-learning strategies. More specifically, we analyzed the predictive power of a set of models based on different sets of features extracted from digital traces, namely posting activity, language use, and page Likes. To maximize the predictive power of the models, we used an ensemble of linear and non-linear prediction algorithms. This work showed also sufficient accuracy rates (AUC above 0.70) in distinguishing between disordered and non-disordered social media users. In sum, individual differences in tendencies toward "social networks use disorder" can be inferred from digital traces left on the social media platform Facebook. Please note that the present work is limited by its cross-sectional design.