2026-05-21T23:54:45Zhttps://repisalud.isciii.es/rest/oai/request

oai:repisalud.isciii.es:20.500.12105/111752025-05-07T10:01:48Zcom_20.500.12105_2052com_20.500.12105_2051com_20.500.12105_15322col_20.500.12105_19612col_20.500.12105_19608col_20.500.12105_19613col_20.500.12105_16973

00925njm 22002777a 4500 dc Hijas-Gomez, Ana Isabel author Ayala, Alba author Rodríguez-García, M P author Rodriguez-Blazquez, Carmen author Rojo-Perez, Fermina author Fernandez-Mayoralas, Gloria author Rodríguez-Laso, Ángel author Calderón-Larrañaga, Amaia author Forjaz, Maria João author 2020 Background: The World Health Organization's active ageing model is based on the optimisation of four key "pillars": health, lifelong learning, participation and security. It provides older people with a policy framework to develop their potential for well-being, which in turn, may facilitate longevity. We sought to assess the effect of active ageing on longer life expectancy by: i) operationalising the WHO active ageing framework, ii) testing the validity of the factors obtained by analysing the relationships between the pillars, and iii) exploring the impact of active ageing on survival through the health pillar. Methods: Based on data from a sample of 801 community-dwelling older adults, we operationalised the active ageing model by taking each pillar as an individual construct using principal component analysis. The interrelationship between components and their association with survival was analysed using multiple regression models. Results: A three-factor structure was obtained for each pillar, except for lifelong learning with a single component. After adjustment for age, gender and marital status, survival was only significantly associated with the physical component of health (HR = 0.66; 95% CI = 0.47-0.93; p = 0.018). In turn, this component was loaded with representative variables of comorbidity and functionality, cognitive status and lifestyles, and correlated with components of lifelong learning, social activities and institutional support. Conclusion: According to how the variables clustered into the components and how the components intertwined, results suggest that the variables loading on the biomedical component of the health pillar (e.g. cognitive function, health conditions or pain), may play a part on survival chances. Arch Gerontol Geriatr . Sep-Oct 2020;90:104114. 10.1016/j.archger.2020.104114 1872-6976 Archives of gerontology and geriatrics 32526561 http://hdl.handle.net/20.500.12105/11175 World Health Organization Active aging Survival International Classification of Functioning, Disability and Health Principal component analysis The WHO active ageing pillars and its association with survival: Findings from a population-based study in Spain.