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Advances in the healthcare system and socioeconomic progress have led to longer life expectancy, resulting in an ageing population and societal challenges for policymakers. Active ageing, promoted by the United Nations Economic Commission for Europe through the Active Ageing Index, highlights Capacity and Enabling Environment for Active Ageing. Information and Communication Technology (ICT) use is crucial, enabling participation in social, economic, and cultural activities (UNECE, 2020).
Research indicates cognitive changes in ageing, especially memory deterioration, associating these changes with genetics, education, and professional and leisure activities (Stern, 2009). According to research, ICT positively affects cognition, enhancing memory (Almeida et al., 2012; Benge et al., 2023), but may also pose cognitive issues (Nagam, 2023). Prioritizing cognitive health among the elderly in social policies is vital, with ICT playing a key role.
The present study aimed to assess the links between Internet use and memory performance after controlling for demographic factors and leisure activities. Data from the Survey of Health, Ageing, and Retirement in Europe's 8th Wave (Börsch-Supan, 2022) included 2320 individuals aged 65–100 from Baltic countries. Memory was assessed using a modified Rey's Auditory Verbal Learning Test. Participation in leisure activities was assessed by asking respondents if they had taken part in any of the listed activities in the past year, and Internet use was assessed by asking about Internet use in the past 7 days.
Significant associations were found between memory, leisure activities, and Internet use. Internet use predicted memory capacity in older adults, remaining significant after controlling for demographics, health, and leisure activities. The current findings show that Internet use might be valuable in predicting memory functioning among older adults and can potentially contribute to the protection of cognitive function.

The time of pandemics could be described by the overflow of health related news in media, but also the rise of researches concerning it. However, there is still a lack of information about message characteristics which effect belief in it, besides older people are underrepresented in these studies. Belief in fake news is especially dangerous for older people, not only because fake news usually promotes dangerous behavior (e.g. do not seek COVID-19 vaccination), but also because older people are the ones who are most likely to share fake news on social media in such way helping to spread them. The aim of the study was to estimate the influence of information framing and psychological distance on belief in health related information under time pressure in older adults. Study was based on representable sample of 50 years and older Lithuanians. In total 505 participants took part in the study. 200 (30,6 %) were men, 305 (60,4%) were women. Participants ranged in age from 50 to 94 with the mean age of 66,27 (SD = 11,24). Study was a between-subject design experiment. Belief in Health related news information served as a dependent variable, Framing of Information and Psychological Distance as independent variables, also age, gender and education were control variables. Participants were presented with eight fake and eight true news headlines about vaccination and COVID-19 in the form of social media posts for 7 seconds and had to evaluate their belief in these headlines. Results indicate, that neither psychological distance, nor information framing have any influence on overall belief in health related information in older adults. Even though gender and education were not related to overall belief in news, a significant positive correlation between age and belief in health related information was found. Our research prove that older people become more truth biased with age.

Introduction. The spread of fake news on the internet is an increasingly serious problem. When analysing belief in fake news, people are usually treated as homogeneous group, however, previous studies suggest that different groups may exist. This study aims to identify clusters of older people according to their level of belief in real and fake news. Methods. 504 people aged 50 to 90 years (M=64.37, SD=9.10) participated in the study. Belief in true and false news was assessed using 10 news headlines (six false, four true). Respondents' vaccination intentions and trust in democratic institutions were assessed. A cluster analysis was performed to distinguish between groups of respondents. Results. Four clusters were identified and replicated: moderately believing in fake and real news; believing in real but not in fake news; tending not to believe in either real or fake news; and tending to believe in both real and fake news. Individuals who fell into the cluster of believers in both real and fake news had lower intentions to vaccinate against COVID-19 and lower trust in political institutions. Conclusions. The study provides evidence that people aren't homogeneous in their belief in fake and real news, and four meaningful clusters can be distinguished.