ArticleJournal of aging and health2018
Sociodemographic Factors Associated With Changes in Successful Aging in Spain: A Follow-Up Study.
Article in Journal of aging and health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
6 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Determinants and indicators of successful aging as a multidimensional outcome: a systematic review of longitudinal studies.Frontiers in public health · 2023Pooled it
- Determining the affecting predictors on successful aging among older adults in Iran.Journal of education and health promotion · 2025Article
- Reconsidering "Aging Well" According to Multiple Definitions: A Multidimensional Approach to Clinical Psychology of Aging.Geriatrics (Basel, Switzerland) · 2024Article
- Definitions of Ageing According to the Perspective of the Psychology of Ageing: A Scoping Review.Geriatrics (Basel, Switzerland) · 2024Article
- Association between successful aging transitions and depressive symptoms among older Korean adults: findings from the Korean longitudinal study of aging (2006-2018).BMC geriatrics · 2021Article
- The impact of socioeconomic status on the association between biomedical and psychosocial well-being and all-cause mortality in older Spanish adults.Social psychiatry and psychiatric epidemiology · 2018Article
Corrections and comments
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Authors and funding
8 authors.
Funding
Abstract
objectiveSuccessful aging (SA) refers to maintaining well-being in old age. Several definitions or models of SA exist (biomedical, psychosocial, and mixed). We examined the longitudinal association between various SA models and sociodemographic factors, and analyzed the patterns of change within these models.
methodThis was a nationally representative follow-up in Spain including 3,625 individuals aged ≥50 years. Some 1,970 individuals were interviewed after 3 years. Linear regression models were used to analyze the survey data.
resultsAge, sex, and occupation predicted SA in the biomedical model, while marital status, educational level, and urbanicity predicted SA in the psychosocial model. The remaining models included different sets of these predictors as significant. In the psychosocial model, individuals tended to improve over time but this was not the case in the biomedical model.
conclusionThe biomedical and psychosocial components of SA need to be addressed specifically to achieve the best aging trajectories.
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