To be assertive or not to be assertive: That is the question! Students' reactions to sexual harassment in academia.

Introduction: In the literature, no integrated definition of sexual harassment (SH) occurs but there is clear unanimity about SH being offensive, humiliating, and intimidating behavior. Within academic settings, SH has severe negative effects on students' physical or emotional wellbeing as well as on their ability to succeed academically. Methods: The aim of this study was to investigate the relationship between sex, gender roles, and the ways to manage SH (assertive and nonassertive reactions) in university students. It was hypothesized that female students would report more nonassertive reactions compared to male students. In addition, following the Bem theory on gender roles and using the self-report tool by the same author, it is hypothesized that female and male students, who are classified as feminine, will report more nonassertive responses, whereas male and female students, who are classified as masculine, will report more assertive responses. Our hypothesis was tested with a sample of 1,415 university students (593 men, 41.9%, and 822 women, 58.1%) who completed a questionnaire approved by the local ethical review board for research from the end of January 2019 to the first half of February 2019. Results: Contrary to our hypothesis, results showed that women react more than men in both assertive and nonassertive modalities. In addition, our results confirmed the main effect of both sex and gender roles on students' assertive and nonassertive reactions to SH in academia. Conclusion: Educational programs about SH may prove useful in preventing its occurrence. Gender equality plans in academia can improve a nonsexist and safe environment for students. It is urgent to improve transparency and accountability of policies on the management of SH: academic institutions need to formulate a procedure to facilitate SH reporting, considering the sensitive balance of confidentiality and transparency issues. Support for the victims (social services, healthcare, legal representation, and advice concerning career/professional development) must be included.

Don't Call It Smart: Working From Home During the Pandemic Crisis.

The recent COVID-19 pandemic and related social distancing measures have significantly changed worldwide employment conditions. In developed economies, institutions and organizations, both public and private, are called upon to reflect on new organizational models of work and human resource management, which - in fact - should offer workers sufficient flexibility in adapting their work schedules remotely to their personal (and family) needs. This study aims to explore, within a Job Demands-Resources framework, whether and to what extent job demands (workload and social isolation), organizational job resources (perceived organizational support), and personal resources (self-efficacy, vision about the future and commitment to organizational change) have affected workers' quality of life during the pandemic, taking into account the potential mediating role of job satisfaction and perceived stress. Using data from a sample of 293 workers, we estimate measurement and structural models, according to the Item Response Theory and the Path analysis frameworks, which allow us to operationalize the latent traits and study the complex structure of relationships between the latent dimensions. We inserted in the model as control variables, the socio-economic and demographic characteristics of the respondents, with particular emphasis on gender differences and the presence and age of children. The study offers insights into the relationship between remote work and quality of life, and the need to rethink human resource management policies considering the opportunities and critical issues highlighted by working full-time remotely.

Do welfare regimes mediate the effect of socioeconomic position on health in adolescence? A Cross-national comparison in Europe, North America, and Israel.

This article examines whether different types of welfare states mediate the effect of socioeconomic position on adolescents' health. The authors' main hypothesis is that countries with stronger redistributive policies will be more effective in weakening the association between socioeconomic position and health, thus reducing health inequalities. Analyses were carried out for Israel and 32 countries of Europe and North America. Data in the 2001-2002 Health Behavior in School-aged Children survey were collected through self-administered questionnaires distributed in schools to boys and girls 11, 13, and 15 years old. Socioeconomic position was measured with the Family Affluence Scale, based on reported consumption in the family. Health indicators were perceived health, general well-being, symptom load, and health behaviors. Social welfare regimes were classified using an expanded Esping-Andersen classification. The analysis supports the authors' hypothesis, at least partially. Social democratic and conservative welfare regimes rank lowest in the strength of association between low socioeconomic position and poor health, followed by liberal and other regime types, but it is more difficult to interpret data from Mediterranean and post-communist countries.

[Inequalities in health in Italy]. / Diseguaglianze di salute in Italia.

Socioeconomic inequality and its impact on health is a growing concern in the European public health debate. In many countries, the issue is moving away from description towards the identification of the determinants of inequalities and the development of policies explicitly aimed at reducing inequalities in health. In Italy, ten years after the publication of the first report on inequalities in health, this topic is seldom present on the agenda of public policy makers. The purpose of this report is to update the Italian profile of social variation in health and health care in order to stimulate the debate on ways to tackle inequalities in health that are preventable. In the first section of this book, the threefold objective is to describe the principal mechanisms involved in the generation of social inequalities in health (Introduction); to report Italian data on the distribution and magnitude of this phenomenon in the last decade; and to evaluate policies and interventions in both the social (chapter 1.9, Section I) and the health sector (chapter 2.3, Section I), which are potentially useful to reduce health inequalities. It is intended for anyone who is in a position to contribute t o decision-making that will benefit the health of communities. For this reason, chapters are organized by specific determinants of inequalities on which interentions may have an impact. The methodological approach in the second section focuses on the best methods to monitor social inequalities including recommendations on social indicators, sources of information and study models, based on European guidelines revised for the Italian situation. According to data from national and local studies, mortality increases linearly with social disadvantage for a wide range of indicators at both the individual (education, social class, income, quality of housing) and the geographical level (deprivation indexes computed at different levels of aggregation). This positive correlation is evident for both sexes, with the steepest gradient observed among adults of working age, although differences persist also among the elderly. The causes of death found to be most highly correlated with social inequality, and largely responsible for the increasing inequality over the last decade, are those associated with addiction and exclusion (drug, alcohol and violence related deaths), with smoking (lung cancer) and with safety in the workplace and on the roads (accidents). Similar gradients and trends have been observed with different outcomes, such as self-reported morbidity, disability and cancer incidence (chapter 1.1, Section I). Reproductive outcomes confiirm this picture: compared to women belonging to the upper classes, those women in low conditions experience more spontaneous abortions and their children suffer from higher infant mortality and low birth weight. This is a critical issue since poor infant health, particularly for metabolic and respiratory pathologies, affects health in adult life. There is now substantive evidence showing that also socioeconomic circumstances at birth or during adolescence may have a strong impact on adult health (chapter 1.2, Section I). Differences in harmful lifestyles, such as smoking, heavy drinking, drug use, unhealthy diet, obesity and physical inactivity, have a similar effect. The only exception is smoking among women, which is positively correlated with socioeconomic status; however, since women in the upper classes have a greater tendency to quit smoking, the gradient will soon be reversed (chapter 1.7, Section I). On the other hand, most of these behaviours do not follow from free and conscious individual choice; they are a form of adaptation to chronic stress originating in the work-place (chapter 1.4, Section I), or to particularly unfavourable events and conditions, such as unemployment (chapter 1.5, Section I) or lack of family and social support (chapter 1.6, Section I). Poor socioeconomic circumstances are the threshold of absolute poverty and may lead to social exclusion, a condition with a heavy impact on health, which in Italy includes marginal groups of the native population and broader classes of immigrants (chapter 1.3, Section I). Finally, there is recent and consistent evidence on the existence of a "contextual" effect on health, as opposed to the "compositional" effect given solely by the aggregation of individual processes. According to this hypothesis, characteristics of the infrastructure, and the physical and socioeconomic environment of an area would have an impact on individual health independent from the cultural and economic resources personally available to people living in that area (chapter 1.8, Section I). With respect to the health care system, various studies are in agreement in demonstrating that poor and less educated people have inadequate access both to primary prevention and early diagnosis (chapter 2.1, Section I), and to early and appropriate care (chapter 2.2, Section I). They also experience higher rates of hospitalization, particularly in emergencies and with advanced levels of severity.