1,720,967 research outputs found
Corrigendum: Is Watching TV Series an Adaptive Coping Strategy During the COVID-19 Pandemic? Insights From an Italian Community Sample
Full text link[This corrects the article DOI: 10.3389/fpsyt.2021.599859.]
Problematic gaming, social withdrawal, and Escapism: The Compensatory-Dissociative Online Gaming (C-DOG) model
Full text linkIn this article, we critically overview existing studies on compensatory and dissociative mechanisms associated with problematic gaming, with a focus on escapism. Thus, we present a theoretical model integrating current research. In the first section, we link compensatory and dissociative processes related to gaming on a continuum that corresponds to the degree of connection/rupture between physical and virtual environments of the individual. In the second section, we discuss the strengths and limitations of existing conceptualizations and measures of escapism. We contend that escapism in gaming represents a key dimension of the compensation for difficulties in psychological needs satisfaction in the physical environment, differently from escape (avoidance) and from general immersion in video games. In the last section, we elaborate the Compensatory-Dissociative Online Gaming (C-DOG) model, which defines a set of interconnected psychological processes operationalizing the continuum between adaptive and pathological online gaming: relaxation, body-mind detachment, active escapism, escape, and dissociation. This model provides an unprecedented way to consider meaningful processes for the clinical evaluation and treatment of problematic gaming, as well as the association of problematic gaming with emerging social withdrawal conditions, such as hikikomori
Heterogeneity of smartphone impact on everyday life and its relationship with personality and psychopathology: A latent profile analysis
Full text linkBackground: The relationships between problematic smartphone use and psychological factors have been extensively investigated. However, previous studies generally used variable-centered approaches, which hinder an examination of the heterogeneity of smartphone impact on everyday life.
Objective: In the present study, we capitalized on latent profile analysis to identify various classes of smartphone owners based on the impact associated with smartphone use (e.g., unregulated usage, preference for smartphone-mediated social relationships) and to compare these classes in terms of established psychological risk factors for problematic smartphone use.
Method: We surveyed 934 young adults with validated psychometric questionnaires to assess the impact of smartphones, psychopathological symptoms, self-esteem and impulsivity traits.
Results: Smartphone users fall into four latent profiles: users with low smartphone impact, users with average smartphone impact, problematic smartphone users, and users favoring online interactions. Individuals distributed in the problematic smartphone user profile were characterized by heightened psychopathological symptoms (stress, anxiety, depression, obsessive-compulsive tendencies) and impulsivity traits. Moreover, users who preferred online interactions exhibited the highest symptoms of social anxiety and the lowest levels of self-esteem.
Conclusions: These findings further demonstrate the multidimensionality and heterogeneity of the impact of smartphone use, calling for tailored prevention and intervention strategies
Problem gaming and adolescents’ health and well-being: Evidence from a large nationally representative sample in Italy
Full text linkPlaying video games is a common leisure activity for adolescents, but a minority can develop maladaptive gaming patterns and experience impairments in various health domains. Most research has been conducted within the dichotomy of “non-problematic gaming” and “problematic gaming” with convenience and unrepresentative samples, necessitating further investigation to provide more robust and generalizable evidence. In this study, we examined the impact of gaming on different groups of gamers with distinct degrees of gaming involvement in relation to various psychological and physical health outcomes and behaviours. Data included a nationally representative sample of 89321 adolescents (11-17 years) from the 2022 Italian Health Behaviour in School-aged Children study. We compared groups of gamers (low risk, high risk, and problematic) with non-gamers concerning their (mental) health, nutrition, physical activity, sleep, and social well-being. Logistic regressions were used to estimate the odds ratios (adjusted for gender, age, material deprivation, and family structure). Compared with non-gamers (33.7% of the sample), low-risk gamers (51.6%) reported better health-related outcomes (lower risk of depression, lower stress, fewer psychological and somatic symptoms). High-risk (11.6%) and problematic gamers (3.1%) showed significantly higher impairments in all health-related outcomes than non-gamers did, the associations being especially pronounced in the problematic gaming group. Video games are not inherently harmful, and adolescents who reported a low risk of gaming problems showed slightly better health-related outcomes than non-gamers did. However, a minority of vulnerable users engaged in problematic use associated with negative consequences, functional impairment (e.g., sleep interference), and various unhealthy behaviours
Psychometric Properties of the Multidimensional Assessment of Covid-19-Related Fears (MAC-RF) in French-Speaking Healthcare Professionals and Community Adults
No full textThe Multidimensional Assessment of COVID-19-Related Fears (MAC-RF) is an 8-item self-report measure, which is based on the theoretical premise that fear responses to COVID-19 involve different yet intertwined domains (i.e., bodily, relational, cognitive, and behavioural). In this multi-step study, we tested the psychometric properties of the French version of the MAC-RF and examined the reciprocal relationships among COVID-19-related fears. Data were collected in two French-speaking samples (N = 521 individuals from the community and N = 328 healthcare professionals). Internal reliability, convergent validity, construct validity, and internal structure of the MACRF were tested. The French version of the MAC-RF demonstrated good psychometric properties and a two-factor structure, with bodily and relational fears tapping into the first factor, and cognitive and behavioural fears tapping into the second factor. Healthcare professionals reported greater COVID-19-related fears than community participants. Correlation network analysis showed that fear for one’s own body and fear of taking action might increase the risk of experiencing other COVID-19-related fears. Limitations comprised the cross-sectional design of the study, risk of bias associated with self-report instruments, and use of online surveys. A careful assessment of different types of fear related to COVID-19 may have implications for prevention and clinical practice during the current coronavirus pandemic. The French version of the MAC-RF is valid and reliable and can thus be used for this purpose
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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