Results of the linear mixed-effects models for the measures of interest.

Results of the linear mixed-effects models for the measures of interest.

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Introduction: The study examined age-related differences between young and older adults’ emotional and psychological experience as well as cognitive functioning throughout different phases of the COVID-19 pandemic in Italy. Materials and Methods: Participants were interviewed by phone when confined at home during the national lockdown (T1-May 2020;...

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... adults reported lower negative emotions than younger adults. Overall, participants reported higher negative emotions at T1 than at T2 (see Table 1). ...
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... adults reported lower emotional loneliness than younger adults. All participants reported higher emotional loneliness at T1 compared to T2 (see Table 1). The Age group × Time interaction was significant (see Table 1 For the Social loneliness scale, no significant effects emerged (see Table 1). ...
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... participants reported higher emotional loneliness at T1 compared to T2 (see Table 1). The Age group × Time interaction was significant (see Table 1 For the Social loneliness scale, no significant effects emerged (see Table 1). ...
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... participants reported higher emotional loneliness at T1 compared to T2 (see Table 1). The Age group × Time interaction was significant (see Table 1 For the Social loneliness scale, no significant effects emerged (see Table 1). ...
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... the Resilience scale, results showed only a significant main effect of Age group. Older adults reported higher resilience than younger adults (see Table 1). ...
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... for the Backward Digit Span task, results showed only a significant main effect of Age group with younger adults outperforming older adults (see Table 1). ...
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... significant main effect of Time also emerged for both the immediate and delayed recall. Participants recalled fewer words during the lockdown (T1) than at T2 (see Table 1). ...
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... adults reported lower negative emotions than younger adults. Overall, participants reported higher negative emotions at T1 than at T2 (see Table 1). ...
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... adults reported lower emotional loneliness than younger adults. All participants reported higher emotional loneliness at T1 compared to T2 (see Table 1). The Age group × Time interaction was significant (see Table 1 For the Social loneliness scale, no significant effects emerged (see Table 1). ...
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... participants reported higher emotional loneliness at T1 compared to T2 (see Table 1). The Age group × Time interaction was significant (see Table 1 For the Social loneliness scale, no significant effects emerged (see Table 1). ...
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... participants reported higher emotional loneliness at T1 compared to T2 (see Table 1). The Age group × Time interaction was significant (see Table 1 For the Social loneliness scale, no significant effects emerged (see Table 1). ...
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... the Resilience scale, results showed only a significant main effect of Age group. Older adults reported higher resilience than younger adults (see Table 1). ...
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... for the Backward Digit Span task, results showed only a significant main effect of Age group with younger adults outperforming older adults (see Table 1). ...
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... significant main effect of Time also emerged for both the immediate and delayed recall. Participants recalled fewer words during the lockdown (T1) than at T2 (see Table 1). ...

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... Several studies indicate that the COVID-19 pandemic has had a significant impact, albeit temporary, on the personality profile, well-being, and educational performance of secondary school students. This impact is attributed to cognitive decrease observed during the period of confinement [6,34,35]. Hammerstein [36] indicates that cognitive regression is primarily caused by social isolation resulting from the emergence of social confinement. This isolation significantly affects the risks of anxiety and depression, even after individuals have become accustomed to the environmental changes in their lifestyle. ...
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This study aims to assess whether students’ learning styles have changed due to the environmental context changes caused by the COVID-19 pandemic outbreak. This analysis is important because learning styles, in addition to predicting vocational outcomes, must inform the design of pedagogical practices and supports used in the teaching environment. To achieve this objective, a cross-sectional analysis was conducted on three cohorts of students who enrolled in an engineering course. Students in group 2 have been under confinement conditions during the previous year, while students in group 3 have been under confinement conditions for the previous two years. Group 1 consists of students who did not experience any confinement. The obtained results lead to the following conclusions: (i) The pandemic outbreak has led to environmental changes, pedagogical practices, and changes in the personality profiles of students, which can significantly impact the learning styles of students entering an engineering degree. (ii) While some learning styles are more susceptible to change, others remain resilient. (iii) The duration of exposure to the environmental changes caused by the pandemic outbreak has a greater impact on the changes in these learning styles.
... Studies revealed that older adults tend to report greater emotional well-being than younger people [19,20] and better coping strategies [21]. The latter may be due to the fact that the ability of young people to cope with distressed situations and emotions may not be fully developed yet [22,23]. Research further showed that the elderly had less negativity towards the COVID-19 crisis than younger adults [24]. ...
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... Only a few studies looked at the impact of the early stages of the pandemic on cognitive functioning in older adults. Overall, they showed a decline in long-term memory 13 associated with pandemic-related worries, and mild declines in subjective cognitive functioning 14 . From this, we can conclude that the first peak of the pandemic significantly decreased wellbeing and certain aspects of cognitive functioning to a limited extent. ...
... Specifically for older adults, longitudinal studies on wellbeing showed mixed findings. In line with observations for the general population, some studies observed that stress due to isolation and pandemic worry fluctuated with the severity of the pandemic 13,21 . Living with a partner and stronger relationships with family and friends played a protective role in these fluctuations over time 21 . ...
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... Given that age is one of the main risk factors for serious illness or death due to COVID-19 (Esai Selvan, 2020), it is not surprising that it is related to enhanced COVID-19 related distress. In addition, the restrictions imposed on the population affect the daily lives of younger adults (i.e., working from home, not being able to go to school or university, resulting in loneliness) differently than older adults (Carbone et al., 2021;Varma et al., 2021), which may result in more general distress in the younger population (e.g., Ribeiro et al., 2021;Rutland-Lawes et al., 2021;Varma et al., 2021;Xiong et al., 2020). Furthermore, women showed higher scores on traumatic stress symptoms, and general stress, which is in line with previous research showing women to be more vulnerable towards (COVID-19 related) mental health problems (Ribeiro et al., 2021;Taylor et al., 2020a;Xiong et al., 2020). ...
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... Only a few studies looked at the impact of the early stages of the pandemic on cognitive functioning. Overall, they showed a decline in long-term memory [7] associated with pandemic-related worries, and mild declines in subjective cognitive functioning [8]. ...
... For older adults, longitudinal studies on wellbeing showed mixed ndings. In line with observations for the general population, some studies observed that stress due to isolation and pandemic worry uctuated with the severity of the pandemic [7], [17]. Living with a partner and stronger relationships with family and friends played a protective role in these uctuations over time [17]. ...
... For wellbeing, our results were in line with other research, showing uctuations in wellbeing mimicking uctuations in pandemic severity [7], [17]. However, our study showed that levels of wellbeing during the last phase (M3) were still signi cantly lower than before the pandemic, indicating a sustained impact of the pandemic. ...
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In earlier survey research, we observed a severe impact of the first peak of the COVID-19 pandemic on the subjective wellbeing, sleep and activity of adults aged 65 years or older in Flanders, Belgium. The impact on subjective cognitive functioning, however, was limited. Since then, periods of lockdown and periods with less strict regulations alternated, but social distancing remained, especially for older adults. To study the longer-term impact of the pandemic on wellbeing and cognitive functioning, we re-assessed the older adults from the first measurement moment ( n = 371) in a second (June-July 2020) and third (December 2020) wave of the survey. Results indicated that wellbeing fluctuated with the severity of the pandemic. Results for self-reported cognitive functioning were mixed. While participants indicated a slightly better general cognitive functioning at the end of the study, experienced problems with most cognitive subdomains significantly increased over time. The presence of depressive and anxiety symptoms influenced the longer-term impact of the pandemic on wellbeing and cognitive functioning. Our study shows the long-lasting impact of the pandemic on the wellbeing and cognitive functioning of older adults, without full recovery from the first wave.
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... Some studies, on the contrary, showed lower levels of anxiety and depression, and they motivated this result with a possible higher resilience and coping mechanisms in older people in comparison to the younger population or with a greater acceptance of death with maturity developed by age [24,25]. Moreover, when one considers resilience in the context of the COVID-19 pandemic, a few studies have shown that older people seem to better manage their emotional and psychological consequences [26][27][28][29]. ...
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Background: Older adults are at a greater risk for contracting and experiencing severe illness from COVID-19 and may be further affected by pandemic-related precautions (e.g., social distancing and isolation in quarantine). However, the longitudinal impact of the COVID-19 pandemic on older adults is unclear. The current study examines changes in health behaviors, psychosocial factors, and cognitive functioning in a large sample of older adults using a pre-pandemic baseline and longitudinal follow-up throughout 9 months of the COVID-19 pandemic. Methods: One hundred and eighty-nine older adults (ages 65-89) were recruited from a multisite clinical trial to complete additional virtual assessments during the COVID-19 pandemic. Mixed effects models evaluated changes in health behaviors, psychosocial factors, and cognitive functioning during the pandemic compared to a pre-pandemic baseline and over the course of the pandemic (i.e., comparing the first and last COVID-19 timepoints). Results: Compared to their pre-pandemic baseline, during the pandemic, older adults reported worsened sleep quality, perceived physical health and functioning, mental health, slight increases in depression and apathy symptoms, reduced social engagement/perceived social support, but demonstrated better performance on objective cognitive tasks of attention and working memory. Throughout the course of the pandemic, these older adults reported continued worsening of perceived physical health and function, fewer depression symptoms, and they demonstrated improved cognitive performance. It is important to note that changes on self-report mood measures and cognitive performance were relatively small regarding clinical significance. Education largely served as a protective factor, such that greater years of education was generally associated with better outcomes across domains. Conclusions: The present study provides insights into the longitudinal impact of the COVID-19 pandemic on health behaviors, psychosocial factors, and cognitive functioning in a population disproportionately affected by the virus. Replicating this study design in a demographically representative older adult sample is warranted to further inform intervention strategies targeting older adults negatively impacted by the COVID-19 pandemic.