Are healthy ageing trajectories suitable to identify rehabilitation needs of the ageing population? An exploratory study using ATHLOS cohort data

• Published in: PloS one 2024-07, Vol.19 (7), p.e0303865
• Main Authors: Sabariego, Carla, Hodel, Jsabel, Seijas, Vanessa, Rodriguez-Laso, Angel, Bickenbach, Jerome, Ehrmann, Cristina
• Format: Article
• Language: English
• Subjects: Aged; Aged, 80 and over; Aging; Aging - physiology; Analysis; Biology and Life Sciences; Chronic illnesses; Cognition; Cohort analysis; Cohort Studies; Comorbidity; Computer and Information Sciences; Correlation analysis; Female; Gerontology; Health services; Healthy Aging - physiology; Humans; Longitudinal Studies; Male; Medicine and Health Sciences; Middle Aged; Older people; Population; Population studies; Rehabilitation; Rehabilitation - methods; Research and Analysis Methods; Social Sciences; Statistical analysis; Target recognition; Trajectory analysis; Trajectory measurement; Trajectory planning
• ISSN: 1932-6203; 1932-6203
• DOI: 10.1371/journal.pone.0303865

The ageing process is highly heterogeneous leading to diverse ageing trajectories. Such trajectories have been modelled to study trends and determinants of ageing and could potentially be used to inform the planning of rehabilitation services at population level. The objective of this paper was to explore whether healthy ageing trajectories are suitable to identify targets for rehabilitation interventions for the ageing population. Data from the Ageing Trajectories of Health: Longitudinal Opportunities and Synergies (ATHLOS) harmonized cohort and the English Longitudinal Study of Ageing (ELSA), which is included in ATHLOS, were used. Growth mixture models were implemented to replicate healthy ageing trajectories modelled elsewhere as 'high stable', 'low stable', and 'rapid decline'. Regularized partial correlation networks were used to estimate expected-influence and bridge expected-influence centrality measures. Healthy ageing trajectories modelled with ATHLOS (N = 131116) and ELSA (N = 14904) were consistent with previous work. At the first individual wave, prevalence of problems of respondents in the 'high stable' and 'rapid decline' trajectories were comparable; at the last individual wave, prevalence remained similar for the 'high stable' but increased substantially in all domains for the 'rapid decline' trajectory. Expected-influence centrality measures provided different results than prevalence estimates. For instance, in the first individual wave mobility and carrying, moving, and handling objects had highest impact on overall functioning for the 'rapid decline' and 'high stable' trajectories, while the most prevalent functioning problems concerned cognition, pain, as well as energy and drive functions. Our study stressed the relevance of healthy ageing trajectories for identifying functioning domains and categories that need to be targeted by rehabilitation services in a heterogeneous ageing population. The use of such trajectories at country level has the potential to make a meaningful contribution to the planning and delivery of rehabilitation interventions through health systems and to informed policy making.