Active Ageing and Personal Wellbeing Among Older Adults in Spain

Rojo-Pérez, Fermina; Fernández-Mayoralas, Gloria; Rodríguez-Rodríguez, Vicente

doi:10.1007/978-3-319-69909-7_4001-2

Cited by 1 publication

(2 citation statements)

References 24 publications

(22 reference statements)

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“…However, activity-relatedness is not a factor in many AA studies, probably because of the limited ability to discriminate if the vast majority of the population is already retired or because it is mediated by other variables such as age [ 116 ]. However, this factor becomes relevant when analysed together with many others to relate AA to quality of life [ 48 , 56 ].…”

Section: Discussionmentioning

confidence: 99%

“…In this context, the AA model has become part of a stream of research that explores its capacity to generate types of people and geographical spaces, measuring the degree of activity, by means of quantitative variables [28,50,52]. In some cases, specific instruments have been used, such as the AA index as a measure of inequality in general or between countries [45,[53][54][55][56][57][58]. Other studies have attempted to operationalise the AA model empirically, without reaching a consensus on how to formulate it [59].…”

Section: Introduction and Backgroundsmentioning

confidence: 99%

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Active ageing profiles among older adults in Spain: A Multivariate analysis based on SHARE study

et al. 2022

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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.

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Section: Discussionmentioning

confidence: 99%