4 research outputs found
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The effects of secondary stressors, social identity, and social support on perceived stress and resilience: Findings from the COVID-19 pandemic
Primary stressors are direct outcomes of extreme events (e.g., viruses, floodwater) whereas secondary stressors stem from pre-disaster life circumstances and societal arrangements (e.g., illness, problematic pre-disaster policies) or from inefficient responses to the extreme event. Secondary stressors can cause significant long-term damage to people affected but are also tractable and amenable to change. In this study we explored the association between secondary stressors, social identity processes, social support, and perceived stress and resilience. Pre-registered analyses of data from the COVIDiSTRESS Global Survey Round II (N = 14,600; 43 countries) show that secondary stressors are positively associated with perceived stress and negatively associated with resilience, even when controlling for the effects of primary stressors. Being a woman or having lower socioeconomic status (SES) is associated with higher exposure to secondary stressors, higher perceived stress, and lower resilience. Importantly, social identification is positively associated with expected support and with increased resilience and lower perceived stress. However, neither gender, SES, or social identification moderated the relationship between secondary stressors and perceived stress and resilience. In conclusion, systemic reforms and the availability of social support are paramount to reducing the effects of secondary stressors
Country-Level Correlates of the Dark Triad traits in 49 Countries
Objectives: The Dark Triad traits (i.e., narcissism, psychopathy, and Machiavellianism) capture individual differences in aversive aspects of personality to compliment work on the other taxonomies such as the Big Five traits. However, most studies on the Dark Triad traits rely on samples from English-speaking countries that are relatively advanced in socio-political development (e.g., Westernized).Method: We drew on data from 49 countries (N = 11,723; 65.8% female; AgeMean = 21.53) to examine how a wide net of country-level variables in economic status (e.g., Human Development Index), social relations (e.g., gender equality), political orientations (e.g., democracy), and cultural values (e.g., embeddedness) relate to country-level rates of the Dark Triad traits and variance in the magnitude of sex differences in them.Results: Narcissism was especially sensitive to country-level factors. Countries that had less advanced systems, with more embedded and hierarchical cultural systems, were more narcissistic as a population. Sex differences in narcissism were larger in more advanced societies, because women were less likely to be narcissistic in advanced as opposed to less advanced countries.Conclusions: We discuss the results using evolutionary and social role models of personality and sex differences. In particular, higher nation-level narcissism was more common in “less advanced” places and sex differences in narcissism were larger in “more advanced” places which is more consistent with evolutionary than social role models.</p
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COVIDiSTRESS diverse dataset on psychological and behavioural outcomes one year into the COVID-19 pandemic
During the onset of the COVID-19 pandemic, the COVIDiSTRESS Consortium launched an open-access global survey to understand and improve individuals’ experiences related to the crisis. A year later, we extended this line of research by launching a new survey to address the dynamic landscape of the pandemic. This survey was released with the goal of addressing diversity, equity, and inclusion by working with over 150 researchers across the globe who collected data in 48 languages and dialects across 137 countries. The resulting cleaned dataset described here includes 15,740 of over 20,000 responses. The dataset allows cross-cultural study of psychological wellbeing and behaviours a year into the pandemic. It includes measures of stress, resilience, vaccine attitudes, trust in government and scientists, compliance, and information acquisition and misperceptions regarding COVID-19. Open-access raw and cleaned datasets with computed scores are available. Just as our initial COVIDiSTRESS dataset has facilitated government policy decisions regarding health crises, this dataset can be used by researchers and policy makers to inform research, decisions, and policy
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Author Correction: COVIDiSTRESS diverse dataset on psychological and behavioural outcomes one year into the COVID-19 pandemic (Scientific Data, (2022), 9, 1, (331), 10.1038/s41597-022-01383-6)
The original version of this Article contained an error in the spelling of the author Krzysztof Hanusz, which was incorrectly given as Hanusz Krzysztof. This has now been corrected in both the PDF and HTML versions of the Article