Italian women who have sex with women: prevalence and co-occurrence of sexual practices.

Background: Sexuality research on the sexual practices of women who have sex with women (WSW) has thus far mostly centered on risk factors and addressed a limited number of practices, with a focus on oral sex and insertive vaginal sex. Aim: This study arises from the need to fill such a significant gap, which prevents researchers, clinicians, and policy makers from being adequately up-to-date on the sexual habits and tendencies of this population. Methods: A multiple-choice questionnaire was completed by 723 WSW with a mean (SD) age of 29.14 (6.94) years. Outcomes: The survey included closed questions on sexual practices, including genital and oral sex, but also nongenital sexual contact (petting and intercrural sex), anal sex, and kinky practices. Results: The most common sexual practices were self-masturbation (99.03%), oral sex (performed or received, 98.20%), and insertive genital sex (performed or received, 89.07%). Half of our sample had tried kinky practices at least once in a lifetime (51.31%). Respondents tended to experiment sexually more with stable partners rather than with casual ones. Comparisons among practices in the lesbian and bisexual population are presented. Clinical Implications: Providers should be aware that sexual orientations have their own specificities, including sexuality and practices, which should increase their knowledge and comfort in working with sexual minorities. Strengths and Limitations: The novel topic of the study addresses the gap in sexuality research among WSW. Strengths include the sex-positive approach, the inclusion of an array of sexual practices, and the consideration of the specificities of the group. Limitations in the generalization of the results are the cross-sectional design and the explicit topic, which may have kept some persons from responding. Conclusion: We propose the framing of sex as going beyond genital contact, and we invite clinicians and researchers who come into contact with WSW to be aware that sexual orientation can be associated with specificities regarding sexuality and sexual practices.

Anti-Vaccination Attitude and Vaccination Intentions Against Covid-19: A Retrospective Cross-Sectional Study Investigating the Role of Media Consumption.

Objective: The present study explores, retrospectively, the link between anti-vaccination attitude and vaccination intentions and extends this relationship to the effect of media consumption style on attitude. Method: Generalized linear mixed-models were used to estimate vaccination intentions (related to each of the four available vaccines at the time of the survey) relying on anti-vaccination attitude measured using the Italian translation of the Vaccination Attitude Examination (VAX) scale. Multiple linear regression was used to estimate which media type and which consumption frequency were responsible for variation in the anti-vaccination attitude. Results: Greater anti-vaccination attitude led to lower vaccination intention (b=-8.33, p<.0001) confirming the attitude-intention link. Crucially, consuming vaccination related information via printed press weekly (b=-0.74, p=.0001) or daily (b=-0.96, p<.0001) were the only protective factors against developing anti-vaccination attitudes. On the other hand, discussing vaccination with the family physician weekly (b=0.66, p=.002) or even daily (b=0.52, p=.026), and actively looking for vaccination related information on specialized websites and blogs every day (b=0.64, t=2.78, p=.006) were risk factors related to increased anti-vaccination attitude. No effects of social media on anti-vaccination attitude were found. Conclusions: The results confirm that vaccination intentions can be linked to the underlying anti-vaccination attitude. Moreover, our results suggest that the web and the blog sphere, but not social media, are the most anti-vaccination fuelling media and that health practitioners engage with the most vaccination-hesitant individuals. Further interventions could leverage these insights to tackle the vaccination hesitancy issue.

A theory-based and data-driven approach to promoting physical activity through message-based interventions.

Objective: We investigated how physical activity can be effectively promoted with a message-based intervention, by combining the explanatory power of theory-based structural equation modeling with the predictive power of data-driven artificial intelligence. Methods: A sample of 564 participants took part in a two-week message intervention via a mobile app. We measured participants' regulatory focus, attitude, perceived behavioral control, social norm, and intention to engage in physical activity. We then randomly assigned participants to four message conditions (gain, non-loss, non-gain, loss). After the intervention ended, we measured emotions triggered by the messages, involvement, deep processing, and any change in intention to engage in physical activity. Results: Data analysis confirmed the soundness of our theory-based structural equation model (SEM) and how the emotions triggered by the messages mediated the influence of regulatory focus on involvement, deep processing of the messages, and intention. We then developed a Dynamic Bayesian Network (DBN) that incorporated the SEM model and the message frame intervention as a structural backbone to obtain the best combination of in-sample explanatory power and out-of-sample predictive power. Using a Deep Reinforcement Learning (DRL) approach, we then developed an automated, fast-profiling strategy to quickly select the best message strategy, based on the characteristics of each potential respondent. Finally, the fast-profiling method was integrated into an AI-based chatbot. Conclusion: Combining the explanatory power of theory-driven structural equation modeling with the predictive power of data-driven artificial intelligence is a promising strategy to effectively promote physical activity with message-based interventions.

Affective components in promoting physical activity: A randomized controlled trial of message framing.

Although the study of the affective components involved in predicting physical activity is spreading faster and faster, there is a lack of studies testing their role when promoting physical activity through message interventions. In the present study, we considered these components by focusing on how anticipated affective reactions and emotional processing of the messages influence receivers' affective attitude toward physical activity, concurrent behavior, and future intention. A sample of 250 participants was involved in an intervention relying on prefactual (i.e., "If … then…") messages promoting physical activity. All messages were sent through a research app and were focused on the expected consequences of exercising (or not exercising). Four experimental conditions involving messages differing as to their outcome sensitivity framing (i.e., gain, non-loss, non-gain, and loss) were compared to a control condition. Results showed that reading gain and non-gain messages enhanced the positive affective attitude toward physical activity, compared to control. Enhanced affective attitude after the intervention increased, in turn, self-reported physical activity and future intention. Interestingly, gain messages were even more persuasive for people with a low level of positive anticipated affective reactions. Furthermore, their effectiveness was especially attributable to the elicitation of hope in receivers. Discussion focuses on the advantages of considering affective components and their implications when promoting physical activity.

Desire for Genital Surgery in Trans Masculine Individuals: The Role of Internalized Transphobia, Transnormativity and Trans Positive Identity.

Some trans people experience gender dysphoria, which refers to psychological distress that results from an incongruence between one's gender assigned at birth and one's gender identity. People who are trans masculine or nonbinary assigned-female-at-birth may pursue multiple domains of gender affirmation, including surgical affirmation (e.g., masculine chest reconstruction, penile reconstruction, etc.). The present study aimed to investigate the possible factors involved in trans people's desire to undergo gender-affirming genital surgery. Trans masculine and nonbinary participants (N = 127; mean age = 26.90) were recruited through a web-based survey and completed self-report instruments (i.e., the Internalized Transphobia subscale of the Gender Minority Stress and Resilience Measure, the Trans Positive Identity Measure, the Gender Congruence and Life Satisfaction Scale, an ad hoc scale on transnormativity, and a single-item on desire to undergo genital affirmation surgery). A path analysis showed that higher levels of internalized transphobia led to more significant genital discomfort via a dual parallel mediation of transnormativity and positive identity. Moreover, this genital discomfort fueling pattern was the most significant predictor of the desire to undergo genital surgery as the effect of internalized transphobia was fully mediated by increased genital discomfort. Findings are discussed in the light of the recent strand of research on gender dysphoria as a multifaceted construct, with social components.

Conspiracy theories on Twitter: emerging motifs and temporal dynamics during the COVID-19 pandemic.

The COVID-19 pandemic resulted in an upsurge in the spread of diverse conspiracy theories (CTs) with real-life impact. However, the dynamics of user engagement remain under-researched. In the present study, we leverage Twitter data across 11 months in 2020 from the timelines of 109 CT posters and a comparison group (non-CT group) of equal size. Within this approach, we used word embeddings to distinguish non-CT content from CT-related content as well as analysed which element of CT content emerged in the pandemic. Subsequently, we applied time series analyses on the aggregate and individual level to investigate whether there is a difference between CT posters and non-CT posters in non-CT tweets as well as the temporal dynamics of CT tweets. In this regard, we provide a description of the aggregate and individual series, conducted a STL decomposition in trends, seasons, and errors, as well as an autocorrelation analysis, and applied generalised additive mixed models to analyse nonlinear trends and their differences across users. The narrative motifs, characterised by word embeddings, address pandemic-specific motifs alongside broader motifs and can be related to several psychological needs (epistemic, existential, or social). Overall, the comparison of the CT group and non-CT group showed a substantially higher level of overall COVID-19-related tweets in the non-CT group and higher level of random fluctuations. Focussing on conspiracy tweets, we found a slight positive trend but, more importantly, an increase in users in 2020. Moreover, the aggregate series of CT content revealed two breaks in 2020 and a significant albeit weak positive trend since June. On the individual level, the series showed strong differences in temporal dynamics and a high degree of randomness and day-specific sensitivity. The results stress the importance of Twitter as a means of communication during the pandemic and illustrate that these beliefs travel very fast and are quickly endorsed. Supplementary Information: The online version contains supplementary material available at 10.1007/s41060-021-00298-6.

Long-COVID Syndrome? A Study on the Persistence of Neurological, Psychological and Physiological Symptoms.

BACKGROUND: Emerging aspects of the Covid-19 clinical presentation are its long-term effects, which are characteristic of the so-called "long COVID". The aim of the present study was to investigate the prevalence of physical, psychological, and sleep disturbances and the quality of life in the general population during the ongoing pandemic. METHODS: This study, based on an online survey, collected demographic data, information related to COVID-19, sleep disturbances, and quality of life data from 507 individuals. The level of sleep disturbances and quality of life was assessed through the Insomnia Severity Index (ISI) and the EuroQol-5D (EQ-5D), respectively. RESULTS: In total, 507 individuals (M = 91 and F = 416 women) completed the online survey. The main symptoms associated with "long COVID" were headache, fatigue, muscle aches/myalgia, articular pains, cognitive impairment, loss of concentration, and loss of smell. Additionally, the subjects showed significant levels of insomnia (p < 0.05) and an overall reduced quality of life (p < 0.05). CONCLUSIONS: The results of the study appear in line with recent publications, but uncertainty regarding the definition and specific features of "long COVID" remains. Further studies are needed in order to better define the clinical presentation of the "long COVID" condition and related targeted treatments.

Trust predicts COVID-19 prescribed and discretionary behavioral intentions in 23 countries.

The worldwide spread of a new coronavirus (SARS-CoV-2) since December 2019 has posed a severe threat to individuals' well-being. While the world at large is waiting that the released vaccines immunize most citizens, public health experts suggest that, in the meantime, it is only through behavior change that the spread of COVID-19 can be controlled. Importantly, the required behaviors are aimed not only at safeguarding one's own health. Instead, individuals are asked to adapt their behaviors to protect the community at large. This raises the question of which social concerns and moral principles make people willing to do so. We considered in 23 countries (N = 6948) individuals' willingness to engage in prescribed and discretionary behaviors, as well as country-level and individual-level factors that might drive such behavioral intentions. Results from multilevel multiple regressions, with country as the nesting variable, showed that publicized number of infections were not significantly related to individual intentions to comply with the prescribed measures and intentions to engage in discretionary prosocial behaviors. Instead, psychological differences in terms of trust in government, citizens, and in particular toward science predicted individuals' behavioral intentions across countries. The more people endorsed moral principles of fairness and care (vs. loyalty and authority), the more they were inclined to report trust in science, which, in turn, statistically predicted prescribed and discretionary behavioral intentions. Results have implications for the type of intervention and public communication strategies that should be most effective to induce the behavioral changes that are needed to control the COVID-19 outbreak.

Looking into your eyes: observed pupil size influences approach-avoidance responses.

The eyes reveal important social messages, such as emotions and whether a person is aroused and interested or bored and fatigued. A growing body of research has also shown that individuals with large pupils are generally evaluated positively by observers, while those with small pupils are perceived negatively. Here, we examined whether observed pupil size influences approach-avoidance tendencies. Participants performed an Approach-Avoidance Task using faces with large and small pupil sizes. Results showed that pupil size influences the accuracy of arm movements. Specifically, individuals were less prone to approach a face with small pupils than a face with large pupils. Conversely, participants were less prone to avoid a face with large pupils than a face with small pupils. Collectively, these findings suggest that perceivers attend to a facial cue - pupil size - when interacting with others.