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[Objective] To examine the relationship between the Fear of COVID-19 Scale (FCV-19S) score and sociodemographic, health, emotional and behavioural factors, in a cross-sectional observational study in 447 older adults living in long-term care (LTC) settings in Madrid (Spain)., [Methods] The sample was stratified by nursing home ownership, geographical location, and size. Multiple linear regression analysis was used using backward elimination to identify factors that explained associations with fear, and logistic regression models were used to examine its role as a predictor of adherence to preventive measures., [Results] The mean age of the participants was 83.8 years, most were female, had had COVID-19, and were worried about the pandemic. The average score of the FCV-19S was 18.36 (SD: 8.28; range: 7-35), and the variables associated in the multiple linear regression model (explained variance: 34.00%) were being female, lower level of education, satisfaction with life and the residential home, and higher worry about the pandemic. The logistic regression models showed that fear of COVID-19 was a predictor of adherence to preventive measures like wearing facemasks, washing hands, and avoiding physical contact., [Conclusions] Fear of COVID-19 was significantly related with sex and subjective factors as life satisfaction and worry; and it influences older people's preventive behaviour. Interventions aimed at reducing fear and promoting adherence to preventive measures would improve their mental health and well-being.

This paper investigates positive perceptions of ageing in rural people aged 65 and over as a key predictor of the self-assessment of one’s health. Method: The sample covers a total of 3389 people from the ‘Survey of Health, Ageing and Retirement’ (SHARE), wave 6 (W6, 2015). This research analyses men and women who live in a rural environment. A linear regression model is proposed to consider the dependent variable ‘self-rated health’ and independent variables based on measures of quality of life in older adults. This study confirms that rural women perceive their health on the basis of factors different to those of their male contemporaries. The variable ‘How often do you feel/think that you can do the things that you want to do?’ is associated with women’s self-perceived health. In men, a high relationship (with p < 0.001) is obtained for the variables ‘How often do you feel/think look back on your life with a sense of happiness?’ and ‘How often do you feel/think that family responsibilities prevent you from doing what you want to do?’ Certain daily activities (e.g., leisure or care), along with a positive perception of life, influence one’s perceptions of one’s own health, especially in the case of women. In sum, rural older women make a positive evaluation of their own health and ageing, while rural older men relate self-rated health to passivity and reminiscing. There is a need for further research on psycho-social and socio-spatial issues from an intergenerational, technological and gender perspective for rural and territorial influences to attain better health and quality of life for rural older people in comparison to urban people.

Background Following the active ageing model based on the Health, Lifelong Learning, Participation and Security pillars, this research has a twofold objective: i) to classify older adults according to active ageing profiles, taking into account the four pillars, and ii) to ascertain the relationship between the profiles and personal and contextual factors, as well as well-being and quality of life in old age. Methods A study sample of 5,566 Spanish older adults who participated in wave 6 of the Survey of Health, Ageing and Retirement in Europe (SHARE) was included. Data were analysed in different steps applying several statistical analyses (Principal Component, Cluster, Discriminant, Multiple Correspondence and bivariate analysis with Pearson chi-square and ANOVA). Results Five older adult profiles were obtained (I: with moderate activity; II: quasi-dependents; III: with active ageing-limiting conditions; IV: with diverse and balanced activity; V: with excellent active ageing conditions). The first three profiles were characterised by subjects with a high average age, low educational level, who were retired or housewives, and who perceived a moderate level of loneliness, satisfaction with the social network and quality of life, as well as having a larger family network, but living in small households or alone. In contrast, the latter two profiles showed better personal and contextual conditions, well-being and quality of life. Discussion and conclusions The multidimensional approach to active ageing followed in this article has revealed the presence of several older adult profiles, which are confined to groups with better or worse active ageing conditions. In this context, if ageing is a process that reflects the previous way of life, intervention priorities will have to consider actions that promote better conditions during the life cycle.

There are numerous sociological and psychosocial studies, both classic and current, that have analysed the images and representations of older people and aging. If gender, intersectional and land perspectives are added, the literature consulted is only a few years old, particularly in Spanish. In addition, research based on fieldwork from virtual image banks is still scarce and recent. The objective of this paper is to evaluate the images from some free access image banks (like Freepik, Canva, Pixabay, or Storyblocks) of older people from a gender, intersectional and socio-spatial and land perspective. Methods: 150 images have been analysed following different selected criteria: 22 variables related to gender, activity, socio-spatial environment, natural space and land, among others, briefly describe the main methods or treatments applied. The key results show a stereotyped and barely diverse image of old age and aging around positive representations, with a notable absence of images related to loneliness as opposed to the presence of social relationships. A feminization has also been observed in the representations, with an imbalance in the activities that are carried out (care in the case of women and leisure in the case of men) and in the visible space (indoor among women and outdoor among men). Older people are still identified with a rural, traditional, and more defined territory and not with more diverse and ecological spaces, which are more frequently attributed to younger profiles. This evaluation contributes to linking this necessary connection of current issues and challenges to ageism, sexism and other exclusions derived from territory and socio-spatial aspects. However, more research is still needed, and, in fact, a second phase of the fieldwork is underway to broaden the sample and to expand further evaluations of images.

Background: Following the active ageing model based on the Health, Lifelong Learning, Participation and Security pillars, this research has a twofold objective: i) to classify older adults according to active ageing profiles, taking into account the four pillars, and ii) to ascertain the relationship between the profiles and personal and contextual factors, as well as well-being and quality of life in old age. Methods: A study sample of 5,566 Spanish older adults who participated in wave 6 of the Survey of Health, Ageing and Retirement in Europe (SHARE) was included. Data were analysed in different steps applying several statistical analyses (Principal Component, Cluster, Discriminant, Multiple Correspondence and bivariate analysis with Pearson chi-square and ANOVA). Results: Five older adult profiles were obtained (I: with moderate activity; II: quasi-dependents; III: with active ageing-limiting conditions; IV: with diverse and balanced activity; V: with excellent active ageing conditions). The first three profiles were characterised by subjects with a high average age, low educational level, who were retired or housewives, and who perceived a moderate level of loneliness, satisfaction with the social network and quality of life, as well as having a larger family network, but living in small households or alone. In contrast, the latter two profiles showed better personal and contextual conditions, well-being and quality of life. Discussion and conclusions: The multidimensional approach to active ageing followed in this article has revealed the presence of several older adult profiles, which are confined to groups with better or worse active ageing conditions. In this context, if ageing is a process that reflects the previous way of life, intervention priorities will have to consider actions that promote better conditions during the life cycle.

Dating violence (DV) among adolescents is a public health issue because of its negative health consequences. In this study, we aimed to analyse the prevalence and the psychosocial and socioeconomic risk and protective factors associated DV among male and female adolescents in Europe. It was performed a cross-sectional study based on a non-probabilistic sample of 1555 students aged 13–16 years (2018–2019). The global prevalence of DV victimization was significantly greater among girls than boys (girls: 34.1%, boys: 26.7%; p = 0.012). The prevalence of DV in both girls and boys was greater for those over age 15 (girls: 48.5% p < 0.001; boys: 35.9%; p = 0.019). There was an increased likelihood of DV victimization among girls whose fathers did not have paid employment (p = 0.024), who suffered abuse in childhood, and reported higher Benevolent Sexism [PR (CI 95%): 1.01 (1.00–1.03)] and machismo [1.02 (1.00–1.05)]. In the case of boys, the likelihood of DV increased with abuse in childhood (p = 0.018), lower parental support [0.97 (0.96–0.99)], high hostile sexism scores (p = 0.019), lower acceptance of violence (p = 0.009) and high machismo (p < 0.001). Abuse in childhood was shown to be the main factor associated with being a victim of DV in both population groups, as well as sexism and machismo attitudes. These results may contribute to future DV prevention school programs for both, teenagers and children of elementary school ages.

This study aimed to analyze the determinants of quality of life (QoL) in older people in three European countries (Portugal, Spain and Sweden). A sample of 7589 participants in waves 4 (2011) and 6 (2015) of the Survey on Health, Aging, and Retirement in Europe (SHARE) project, aged 50 and over and living in Portugal, Spain and Sweden, was included. The CASP-12 scale was used to measure QoL. A principal component analysis was performed to group preselected variables related to active and healthy ageing into the dimensions of health, social participation, and lifelong learning. A linear regression model was built using the change in CASP-12 scores over the 4-year follow-up as the dependent variable, including the interactions between country and each independent variable in the model. After four years, the average QoL increased in Portugal (difference = 0.8, p < 0.001), decreased in Spain (-0.8, p < 0.001), and remained constant in Sweden (0.1, p = 0.408). A significant country-participation component interaction (p = 0.039) was found. In Spain, a higher participation (beta = 0.031, p = 0.002) was related to a higher QoL improvement at 4 years, but not in Sweden or Portugal. Physical health and emotional components (beta = 0.099, p < 0.001), functional ability (beta = 0.044, p = 0.023), and cognitive and sensory ability (beta = 0.021, p = 0.026) were associated with QoL changes over time in all countries. The country-specific associations between health, social participation and QoL should be taken into account when developing public health policies to promote QoL among European older people.

Purpose: Loneliness and social isolation have detrimental effects on health in old age; however, the prospective associations with quality of life (QoL) remain unclear. Furthermore, despite the existence of a European north-south gradient in the distribution of loneliness and social isolation, little is known whether the associations are context-specific. We investigated the relationships between loneliness, social isolation and QoL of older adults residing in the North (Sweden) and South (Spain) of Europe. Methods: Study sample consisted of 2995 Swedish and 4154 Spanish older adults who participated in waves six and seven of the Study on Health, Aging and Retirement in Europe (SHARE). Loneliness and social isolation were measured at the baseline, and QoL was measured at the baseline and follow-up using CASP-12. Prospective associations were assessed via multivariate linear regression. Results: In Sweden, subjects with higher vs. lower loneliness had 1.01 (95% CI: -1.55, -0.40) units lower QoL, while every standard deviation increase in social isolation was associated with a 0.27 (95% CI: -0.42, -0.09)-unit decrease in QoL. In Spain, every standard deviation increase in social isolation was associated with a 0.66 (95% CI: -1.11, -0.22)-unit decrease in QoL. The association was stronger in subjects aged <= 65 years old and those with no chronic diseases. The association with loneliness was not statistically significant in Spain. Conclusion: Loneliness and social isolation are prospectively associated with decreased QoL among older adults, yet the associations are contextually bound. Future interventions should target both exposures, among others, in order to increase QoL in this group.

The aim of the article is to show the role of school social support and school social climate in dating violence victimization prevention among adolescents in Europe. Study participants were students from secondary schools (age 13–16) in Spain, Italy, Romania, Portugal, Poland and UK. The analysis in this text concern student with dating experience (n = 993) (57.2% of girls and 66.5% of boys). School social support was measured by School Social Climate, Factor 1 Scale (CECSCE) and by Student Social Support Scale (CASSS), subscales teachers and classmates. The association between school social support and different types of dating victimization (physical and/or sexual dating violence, control dating violence and fear) was measured by calculating the prevalence ratios and their 95% confidence intervals, estimated by Poisson regression models with robust variance. All the models were adjusted by country and by sociodemographic variables. The results show that the average values of all types of social support are significantly lower in young people who have suffered any type of dating violence or were scared of their partner. The likelihood of suffering physical and/or sexual dating violence decreased when school social support increased [PR (CI 95%): 0.96 (0.92; 0.99)]. In the same way, the likelihood of fear decreased when school social climate increased [PR (CI 95%): 0.98 (0.96; 0.99)].There is an association between school social support and school social climate and experiences of being victim of dating violence among adolescents in Europe. Our results suggest that in the prevention of dating violence building a supportive climate at schools and building/using the support of peers and teachers is important.