The global SARS-CoV-2 outbreak and subsequent lockdown had a significant impact on people’s daily lives, with strong implications for stress levels due to the threat of contagion and restrictions to freedom. Given the link between high stress levels and adverse physical and mental consequences, the COVID-19 pandemic is certainly a global public health issue. In the present study, we assessed the effect of the pandemic on stress levels in N = 2053 Italian adults, and characterized more vulnerable individuals on the basis of sociodemographic features and stable psychological traits. A set of 18 psycho-social variables, generalized regressions, and predictive machine learning approaches were leveraged. We identified higher levels of perceived stress in the study sample relative to Italian normative values. Higher levels of distress were found in women, participants with lower income, and participants living with others. Higher rates of emotional stability and self-control, as well as a positive coping style and internal locus of control, emerged as protective factors. Predictive learning models identified participants with high perceived stress, with a sensitivity greater than 76%. The results suggest a characterization of people who are more vulnerable to experiencing high levels of stress during the COVID-19 pandemic. This characterization may contribute to early and targeted intervention strategies.

The global SARS-CoV-2 outbreak and subsequent lockdown had a significant impact on people’s daily lives, with strong implications for stress levels due to the threat of contagion and restrictions to freedom. Given the link between high stress levels and adverse physical and mental consequences, the COVID-19 pandemic is certainly a global public health issue. In the present study, we assessed the effect of the pandemic on stress levels in N = 2053 Italian adults, and characterized more vulnerable individuals on the basis of sociodemographic features and stable psychological traits. A set of 18 psycho-social variables, generalized regressions, and predictive machine learning approaches were leveraged. We identified higher levels of perceived stress in the study sample relative to Italian normative values. Higher levels of distress were found in women, participants with lower income, and participants living with others. Higher rates of emotional stability and self-control, as well as a positive coping style and internal locus of control, emerged as protective factors. Predictive learning models identified participants with high perceived stress, with a sensitivity greater than 76%. The results suggest a characterization of people who are more vulnerable to experiencing high levels of stress during the COVID-19 pandemic. This characterization may contribute to early and targeted intervention strategies.

The COVID-19 pandemic is causing a heavy burden in hospital healthcare workers (HCW) in terms of increased work, organizational changes, risk exposure, and social stigma. The present study aims at evaluating the psychological outcome among HCWs at the final stages of the first wave of the COVID-19 pandemic. This cross-sectional and survey-based study was conducted during June 2020 among 996 HCWs of the University Hospital of Padova. All the subjects completed questionnaires investigating the perception of risk of infecting or being infected by COVID-19, psychopathological variables, and coping abilities. Compared to physicians and healthcare assistants, nurses showed higher levels of depression (p = 0.002), insomnia (p < 0.001), and generalized anxiety (p = 0.001). Females reported increased concerns about the possibility of infecting others (p = 0.046), greater anxiety (p < 0.001), COVID-19 related fears (p < 0.001), depression (p < 0.001), and post-traumatic distress (p < 0.001) than males. Being employed in a COVID-19 unit, being transferred to other units, and living with children and the elderly were factors associated with higher levels of psychological distress. Greater coping abilities were detected in physicians, and in those HCWs employed in COVID units. Our findings evidenced that the psychological consequences of the pandemic were non-homogeneously distributed across HCWs categories and pointed out the presence of specific in-hospital and out-of-hospital risk factors.

Introduction: Literature on the association between dating app use and sexual risk behaviors is still scant and inconclusive. Aim: To investigate the association between dating app use and sexual risk behaviors, considering the role of motives for using them. Methods: 1,278 Italian respondents completed an online questionnaire assessing demographics, motives and patterns of dating app use, sexual behaviors and sexually transmitted infections (STIs) diagnoses. One-way ANOVA and Chi-squared analyses were used to investigate differences among the three subsamples (active vs former vs non-users). Multiple linear and logistic regression analyses were run to investigate the role of demographics, motives and patterns of dating app use on sexual risk taking and sexual health. Main outcome measures: Number of protected and unprotected full sexual partners in the last year; frequency of hook-ups in the last year; STIs lifetime. Results: Active users, even more than former app users, were more likely to report risky behaviors and STI diagnoses than non-users (χ2 = 26.37, P < .001). Installing the apps to find friends or romantic partners was associated with less protected (find friends B = −0.364, P = .015; find romantic partners B = −0.300, P = .006) and unprotected (find friends B = −0.346, P = .016; find romantic partners B = −0.360, P < .001) sexual intercourses. Installing the apps to find sexual partners predicted higher odds of unprotected sexual activity (B = 0.193, P = .048), hook-ups (B = 0.496, P < .001) and STIs diagnoses (OR = 2.835, P = .025). Accessing apps more frequently and more years of usage was associated with reporting risky sexual behaviors and STI diagnoses among active users (app access frequency OR = 1.461, P = .003; usage years OR = 1.089, P = .013). Conclusion: Installing the apps to search for sexual partners, using them at length since first installation and accessing them frequently are significant factors in influencing the association between dating app use and sexual risk behaviors. Flesia L, Fietta V, Foresta C, Monaro M. “What Are You Looking For?” Investigating the Association Between Dating App Use and Sexual Risk Behaviors. Sex Med 2021;9:100405.

The role of ageism (i.e., discrimination against individuals or groups on the basis of their age), in particular toward the sexuality of the elderly, remains, to date, an overlooked issue. A few studies have suggested that ageistic stereotypes can negatively affect older adults’ sexual health. No data are available, in particular, about differences among heterosexual and LGB (lesbian, gay, and bisexual) populations. The present study aimed to investigate differences in perceived ageism and related dysfunctional beliefs in a sample of heterosexual (n = 104) and LGB (n = 103) older adults (aged 55 or older; mean age 66.5) and their impact on sexual health and satisfaction. LGB individuals reported higher rates of masturbation and sexual intercourse and an increased quality of sexual activity as compared to heterosexuals. In addition, no differences between the groups emerged as regards perceived ageism and dysfunctional beliefs toward ageing. In conclusion, LGB individuals perceived more ageism toward sexuality than their counterparts; however, heterosexuals were more likely to have dysfunctional beliefs toward sexuality in ageing. The study findings highlight the significance of examining sexual orientation to understand experiences of sexuality in ageing of the growing older population. Renewed socio-educational efforts based on these data are clearly needed.

The COVID-19 outbreak and the worldwide lockdown measures had an impact on the global mental health and psychological well-being of the general population. Several studies attempted to investigate the protective and risk factors for psychological distress related to the pandemic. However, to date, little is known about the role of hope in this context. The aim of this study was to determine the relationship between hope and psychological distress related to the COVID-19 outbreak in the general population. The sample consisted of 504 Pakistani people who completed cross-sectionally the COVID-19 Peritraumatic Distress Index (CPDI) and the Adult Hope Scale (AHS). Bivariate Pearson correlation analysis was run to measure the relationship between hope and psychological distress; hierarchical regression analysis was run to investigate the association between demographics and hope with psychological distress. Higher levels of hope predicted lower levels of psychological distress. Being female, being older, lower level of education, urban residence, being married and living in nuclear family systems were associated with higher levels of psychological distress. The study highlights the protective role of hope on psychological distress related to COVID-19, contributing to knowledge on factors promoting positive mental health during emergency times and providing useful information for implementing effective public health policies and programmes.