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In this on-line study of adult women ( N = 145), we performed a series of moderation analyses, including women's self-reported gender in-group identification as moderator, their traditional/progressive identity contents as predictors, ambivalent sexism targeted at men and attitudes toward male and female conforming and non-conforming gender roles as outcome variables. We found that both traditional and progressive identity contents were significant predictors of benevolent sexism but did not predict hostile sexism toward men. Moreover, traditional identity contents predicted more negative evaluations of both male and female gender non-conforming roles, while progressive identity contents predicted more positive evaluations of both male and female gender non-conforming roles. The results have also indicated that the less a woman identifies with her gender in-group while having highly traditional identity contents, the lower she evaluates gender non-conforming roles of other women. The present study adds to the existing research on the links between women's gender identity and perceptions of the opposite sex, as well as their evaluations of various gender roles of men and women., Competing Interests: Declaration of Conflicting InterestsThe author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Objective: Vaccines are an effective means to reduce the spread of diseases, but they are sometimes met with hesitancy that needs to be understood., Method: In this study, we analyzed data from a large, cross-country survey conducted between June and August 2021 in 43 countries (N = 15,740) to investigate the roles of trust in government and science in shaping vaccine attitudes and willingness to be vaccinated., Results: Despite significant variability between countries, we found that both forms of institutional trust were associated with a higher willingness to receive a COVID-19 vaccine. Furthermore, we found that conspiratorial thinking and anti-expert sentiments predicted reduced trust in government and science, respectively, and that trust mediated the relationship between these two constructs and ultimate vaccine attitudes. Although most countries displayed similar relationships between conspiratorial thinking and anti-expert sentiments, trust in government and science, and vaccine attitudes, we identified three countries (Brazil, Honduras, and Russia) that demonstrated significantly altered associations between the examined variables in terms of significant random slopes., Conclusions: Cross-country differences suggest that local governments' support for COVID-19 prevention policies can influence populations' vaccine attitudes. These findings provide insight for policymakers to develop interventions aiming to increase trust in the institutions involved in the vaccination process. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

The diagnosis of premenstrual syndrome (PMS) and premenstrual dysphoric disorder (PMDD) poses a challenge for clinicians due to the overdiagnosis of retrospective methods and overlapping symptoms with depression. The present study utilized an Item Response Theory analysis to examine the predictive utility of the Premenstrual Symptom Screening Tool (PSST) in women with and without depression. Two hundred and fifteen women aged 20-35 completed the PSST, a daily symptom calendar, SCID-I, and CES-D for two consecutive menstrual cycles. PSST items: fatigue, depressed mood, feeling overwhelmed, anxiety/tension, and decreased interest in everyday activities were the best predictors of PMS. Unlike the daily symptom ratings, the PSST over-diagnosed PMS/PMDD in the depressed group but not in the group of women without PMS/PMDD. While diagnosing premenstrual disorders, clinicians should be aware that a retrospective diagnosis with PSST can be more sensitive to mood disorders and cycle phases than a prospective diagnosis with a daily symptoms calendar.

Background: To limit the rapid spread of COVID-19, countries have asked their citizens to stay at home. As a result, demographic and cultural factors related to home life have become especially relevant to predict population well-being during isolation. This pre-registered worldwide study analyses the relationship between the number of adults and children in a household, marital status, age, gender, education level, COVID-19 severity, individualism-collectivism, and perceived stress., Methods: We used the COVIDiSTRESS Global Survey data of 53,524 online participants from 26 countries and areas. The data were collected between 30 March and 6 April 2020., Results: Higher levels of stress were associated with younger age, being a woman, lower level of education, being single, staying with more children, and living in a country or area with a more severe COVID-19 situation., Conclusions: The COVID-19 pandemic revealed that certain people may be more susceptible to experience elevated levels of stress. Our findings highlight the need for public health to be attentive to both the physical and the psychological well-being of these groups., (© 2020 International Association of Applied Psychology.)