• Digital Humanities and Cultural Heritage
• 2013-2022close
• Open Access close
• Publications close
• Research software close
• Other research products close
• Article close
• European Commission close
• SHARE-DEV3 close
• DE close

Social networks are important for well‐being and healthy aging. However, older adults are more likely to have less social contact with others than their younger counterparts due to significant changes in their lives, such as retirement or age‐related losses, along with declining health and mobility. Consequently, with increasing age, a growing proportion of people experience feelings of loneliness. This becomes even more important during pandemics when social contact should be minimized. Therefore, this article examines the extent and patterns of loneliness before and during the first two years of the Covid‐19 pandemic and how social contact and the type of communication affected levels of loneliness during the pandemic. To investigate loneliness, social contact, and their association during the pandemic, this study uses representative data from 27 countries from SHARE (Survey of Health, Ageing, and Retirement in Europe). The analyses are based on a balanced panel covering three consecutive waves with 28,448 respondents aged 50 years or older. The results indicate that three out of ten Europeans face loneliness in later life. While loneliness has increased for a significant part of the elderly in the wake of the pandemic, there has also been a reverse trend in terms of a decrease in feelings of loneliness for an almost equal proportion of people. Additionally, multivariate analyses highlight that nonpersonal communication cannot substitute face‐to‐face interaction and can potentially increase feelings of loneliness.

Background: Evidence investigating associations between hospitalization and physical activity is scarce and limited to specific populations of older adults. Objective: The current study aimed to describe the impact of past hospitalization on current physical activity levels of a large representative sample of European older adults with accelerometry data. Methods: A representative sample of 856 European older adults aged 50 years and over was included in this study. Hospital admission and utilization (i.e., accumulated times and length of stay in hospital) in the last 12 months were self-reported retrospectively. Physical activity volume (mg) and distribution of intensity (intensity gradient) were assessed with thigh-worn accelerometers. Results: Multivariate linear regressions indicated that hospital admission (15% of the sample) was associated with reduced physical activity volume (-4.29 mg; 95% confidence interval (95% CI), -9.07 to 0.47) of participants. Each additional hospital admission was associated with lower volume (-2.29 mg; 95% CI, -4.65 to 0.06) and poorer distribution of intensity (-0.07; 95% CI, -0.11 to -0.04). Total length of stay was not associated with physical activity. Conclusions: This study suggests that hospital admission and the number of times admitted, but not accumulated length of stay, may curb physical activity levels of older adults. Public health strategies to promote successful aging should target post-hospitalization physical activity. Refereed/Peer-reviewed

Background Prior research has solely focused on the association between handgrip strength and risk of depression in single countries or general populations, but more knowledge is required from wider-spread cohorts and target populations. Aims This study aimed to investigate the association between handgrip strength and risk of depression using repeated measures in adults aged 50 years and over. Method Data on handgrip strength and risk of depression were retrieved from the Survey of Health, Ageing and Retirement in Europe (SHARE) waves 1, 2, 4, 5, 6 and 7, using a hand dynamometer (Smedley, S Dynamometer, TTM) and the EURO-D 12-item scale, respectively. Time-varying exposure and covariates were modelled using both Cox regression and restricted cubic splines. Results A total of 115 601 participants (mean age 64.3 years (s.d. = 9.9), 54.3% women) were followed-up for a median of 7.3 years (interquartile range: 3.9-11.8) and 792 459 person-years. During this period, 30 208 (26.1%) participants experienced a risk of depression. When modelled as a continuous variable, we observed an inverse significant association for each kg increase of handgrip strength and depression up to 40 kg in men and up to 27 kg in women. Conclusions Being physically strong may serve as a preventive factor for depression in older adults, but this is limited up to a maximum specific threshold for men and women. BackgroundPrior research has solely focused on the association between handgrip strength and risk of depression in single countries or general populations, but more knowledge is required from wider-spread cohorts and target populations. AimsThis study aimed to investigate the association between handgrip strength and risk of depression using repeated measures in adults aged 50 years and over. MethodData on handgrip strength and risk of depression were retrieved from the Survey of Health, Ageing and Retirement in Europe (SHARE) waves 1, 2, 4, 5, 6 and 7, using a hand dynamometer (Smedley, S Dynamometer, TTM) and the EURO-D 12-item scale, respectively. Time-varying exposure and covariates were modelled using both Cox regression and restricted cubic splines. ResultsA total of 115 601 participants (mean age 64.3 years (s.d. = 9.9), 54.3 were followed-up for a median of 7.3 years (interquartile range: 3.9-11.8) and 792 459 person-years. During this period, 30 208 (26.1 participants experienced a risk of depression. When modelled as a continuous variable, we observed an inverse significant association for each kg increase of handgrip strength and depression up to 40 kg in men and up to 27 kg in women. ConclusionsBeing physically strong may serve as a preventive factor for depression in older adults, but this is limited up to a maximum specific threshold for men and women.

Objectives: To identify social network profiles using Latent Profile Analysis (LPA), to study the relationships of these profiles with health markers, mental health, quality of life, and cognitive functioning, and to compare profiles across European regions. Methods: 27,272 participants from the Wave 8 of the SHARE project, aged 65 or older (M = 74.95, SD = 7.17) from Europe. Statistical analyses included LPAs followed by MANOVAs to compare the profiles and the health markers. Results: Five profiles were identified: family, friends, spouse, diverse, and others. A no network group was also added. The prevalence of the specific profiles differed across European regions. Individuals with no network and those categorized into the others profile presented the worst health outcomes. Discussion: The “friends” network is more protective toward cognitive functioning and physical health and the “spouse” and “family” ones are more protective toward mental health. The variability according to European regions is discussed.

Early in the pandemic, researchers were cautioning that COVID-19 and the associated health policy countermeasures would have an increased negative impact on groups that were already vulnerable before the pandemic. One of these groups are older people affected by poverty, who according to official figures make up 13.9% of older population in Austria. Even before the pandemic, their living situation was considered precarious. Not without reason, this group has been identified as a high-risk group of the pandemic, due to their increased likelihood of severe COVID-19 related illness and their limited monetary resources and thus lower chances of coping with the pandemic. Nevertheless, research on this group has remained sparse to date. Therefore, the aim of the study is to focus on older people (60+ years) below the poverty line and to compare them with non-poor individuals. Data from the SHARE (Survey of Health Aging and Retirement in Europe) project is used, combining data from the two SHARE Corona Surveys (summer 2020 and summer 2021) and the SHARE Corona Special Austria Survey (December 2020) to gain the most complete picture of life situation during the pandemic. Results demonstrate that older people in poverty were more likely to report poor subjective health before as well as during the pandemic yet were significantly more likely to refuse vaccination against COVID-19, despite adhering to other measures against the pandemic to the same extent as non-poor people. Restrictions in the health care system affected both groups equally and no significant differences in the frequency of social contacts could be found. However, older people below the poverty line were significantly more likely to rely on social support to obtain necessities during the pandemic and were less likely to use the internet. Together, these results point out that disadvantage exist for the older poor in some but not all areas of life during the pandemic. This paper is aimed at providing first insights into the lives of poor older persons during a taxing time and may perhaps inspire more in-depth study of this particularly understudied population.

Background: Cognitive decline is a major public health concern worldwide and it is vital to identify and better understand effective population-based means to improve cognitive performance in old age. The current study set out to examine the links between accelerometer-based physical activity with cognitive performance in later life, as well the indirect pathways through one’s social network contacts and depression. Method: We used data from 855 participants aged 50 and above who took part in a cross-sectional accelerometer study as part of the Survey of Ageing, Retirement and Health (SHARE). Cognitive function was measured as an average score of fluency, immediate and delayed recall tests, social contacts were the average contact frequency with members of the social support network, and depression was the Euro-D summary score of depressive symptoms. A multiple mediation analysis was conducted to test the direct and indirect associations between total physical activity (intensity gradient) and cognitive function, as well as the mediation of this association by social contacts and depressive symptoms. Results: Intensity of physical activity was directly related to better cognitive performance (B = 0.170, p = 0.007). The association was partially mediated by social contacts (B = 0.022, 95% CI 0.005, 0.046) and depressive symptoms (B = 0.009, 95% CI 0.009, 0.025), such that total physical activity was linked to cognitive health via more frequent contacts with network members and low depressive symptoms. Conclusions: Practitioners might consider encouraging a physically active lifestyle that involves social interactions to support better cognitive aging and mental health.

Nutrition is important for preventing and treating sarcopenic obesity/SO, proteins play a fundamental role. This study aimed at (1) identifying the association between different protein sources, other factors, and obesity coexisting with low handgrip strength and (2) evaluating differences in protein intake between persons with coexistence of obesity with low handgrip strength, obesity alone, low handgrip strength alone and persons neither obese nor having low handgrip strength. This study is a secondary data analysis of SHARE-data among 5362 persons near retirement age. We used descriptive statistics, statistical tests and univariate and multiple logistic regression analyses. Prevalence of obesity coexisting with low handgrip strength was 4.8%. Participants with low handgrip strength had the significantly lowest intake of all protein groups, followed by participants with obesity and low handgrip strength (p < 0.001). Daily intake of meat/fish (0.56, CI 0.40–0.79), age (1.07, CI 1.03–1.11), two or more chronic diseases (2.22, CI 1.69–2.93), one or more limitations concerning instrumental activities of daily living (2.23, CI 1.60–3.11), and moderate activity more than once a week (0.44, CI 0.33–0.57) were significantly related factors regarding obesity coexisting with low handgrip strength. Findings suggest that a daily intake of meat/fish is associated with lower odds of suffering from obesity with low handgrip strength in retirement-aged persons. Further studies are needed for specific recommendations regarding different protein sources for obese persons with low muscle mass and/or strength.