The study used mixed-methods to illustrate the complexity of the interplay between the contexts in Bulgaria and Romania and women's attitudes and behaviors related to screening. A secondary analysis of quantitative data from Romanian (n = 1053) and Bulgarian (n = 1099) women and qualitative interviews ( n = 30 Romanian, n = 35 Bulgarian) was performed. Low rates of screening attendance were found in both countries. Regression analysis illustrates that attitudes and social norms significantly predicted intentions and screening behavior in both countries. Thematic analysis revealed that systemic barriers and cultural meanings were relevant to women's decisions to attend screening or avoid contact with the health-care system.
Background and Objectives
Previous studies have linked COVID-19 to a rise in ageism. While a growing body of research examined hostile ageism during the pandemic, benevolent ageism received less attention. Drawing on the stereotype content theory and the classic tripartite model of attitudes, the current study explored how benevolent and hostile ageism are reflected in the cognitive, affective, and behavioural dimensions of attitudes towards older adults in German COVID-19 related tweets. The study examined the most prevalent attitudes as well as changes in prevalence between the first and second lockdown period in Germany.
Research Design and Methods
792 German tweets concerning COVID-19 and ageing were collected and coded using Mayring’s qualitative content analysis with a dominantly inductive approach. Quantitative methods were used to identify the most prevalent subthemes as well as changes in prevalence.
Results
The coding resulted in 21 subthemes. Most tweets (60.73%) contained either hostile or benevolent ageist attitudes, with benevolent ageism being more prevalent. The top 5 subthemes in terms of prevalence and reach contained several opposing attitudes, such as devaluation and opposing devaluation. The chi-square tests revealed a shift from a promotion to an evaluation of COVID-19 related policies between the two lockdowns.
Discussion and Implications
Results highlight social media’s polarising effect and its potential contribution to both hostile and benevolent ageism in the context of COVID-19 in Germany. Results indicate the need to consider the adverse effects of benevolent ageism and use of chronological age as risk factor, when designing COVID-19 related policies.
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