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

被引:0
|
作者
Sabariego, Carla [1 ,2 ,3 ]
Hodel, Jsabel [1 ]
Seijas, Vanessa [1 ,2 ,3 ]
Rodriguez-Laso, Angel [4 ]
Bickenbach, Jerome [1 ]
Ehrmann, Cristina [1 ]
机构
[1] Swiss Parapleg Res, Nottwil, Switzerland
[2] Univ Lucerne, Fac Hlth Sci & Med, Luzern, Switzerland
[3] Univ Lucerne, Ctr Rehabil Global Hlth Syst, Luzern, Switzerland
[4] Inst Salud Carlos III, CIBER Fragil & Envejecimiento Saludable CIBERFES, Madrid, Spain
来源
PLOS ONE | 2024年 / 19卷 / 07期
基金
欧盟地平线“2020”; 澳大利亚研究理事会; 英国经济与社会研究理事会; 英国医学研究理事会; 美国国家卫生研究院;
关键词
MISSING DATA; NUMBER; INFORMATION; RETIREMENT; COMPONENTS; CRITERION; PROFILE;
D O I
10.1371/journal.pone.0303865
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Background 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.Methods 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.Results 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.Conclusions 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.
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页数:24
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