Development of a common scale for measuring healthy ageing across the world: results from the ATHLOS consortium. (4th December 2020)

• Record Type: Journal Article
• Authors: Sanchez-Niubo, Albert; Forero, Carlos G; Wu, Yu-Tzu; Giné-Vázquez, Iago; Prina, Matthew; De La Fuente, Javier; Daskalopoulou, Christina; Critselis, Elena; De La Torre-Luque, Alejandro; Panagiotakos, Demosthenes; Arndt, Holger; Ayuso-Mateos, José Luis; Bayes-Marin, Ivet; Bickenbach, Jerome; Bobak, Martin; Caballero, Francisco Félix; Chatterji, Somnath; Egea-Cortés, Laia; García-Esquinas, Esther; Leonardi, Matilde; Koskinen, Seppo; Koupil, Ilona; Mellor-Marsá, Blanca; Olaya, Beatriz; Pająk, Andrzej; Prince, Martin; Raggi, Alberto; Rodríguez-Artalejo, Fernando; Sanderson, Warren; Scherbov, Sergei; Tamosiunas, Abdonas; Tobias-Adamczyk, Beata; Tyrovolas, Stefanos; Haro, Josep Maria;
• Is Part Of: International journal of epidemiology. Volume 50:Number 3(2021)
• Page Start: 880
• Page End: 892
• Publication Date: 2020-12-04
• Subjects: Healthy ageing -- scale -- functional ability -- intrinsic capacity -- item response theory -- data integration; Epidemiology -- Periodicals; 614.4
• DOI: 10.1093/ije/dyaa236
• Languages: English
• ISSNs: 0300-5771

Abstract

Abstract: Background: Research efforts to measure the concept of healthy ageing have been diverse and limited to specific populations. This diversity limits the potential to compare healthy ageing across countries and/or populations. In this study, we developed a novel measurement scale of healthy ageing using worldwide cohorts. Methods: In the Ageing Trajectories of Health-Longitudinal Opportunities and Synergies (ATHLOS) project, data from 16 international cohorts were harmonized. Using ATHLOS data, an item response theory (IRT) model was used to develop a scale with 41 items related to health and functioning. Measurement heterogeneity due to intra-dataset specificities was detected, applying differential item functioning via a logistic regression framework. The model accounted for specificities in model parameters by introducing cohort-specific parameters that rescaled scores to the main scale, using an equating procedure. Final scores were estimated for all individuals and converted to T-scores with a mean of 50 and a standard deviation of 10. Results: A common scale was created for 343 915 individuals above 18 years of age from 16 studies. The scale showed solid evidence of concurrent validity regarding various sociodemographic, life and health factors, and convergent validity with healthy life expectancy (r = 0.81) and gross domestic product (r = 0.58). Survival curves showed that the scale could also be predictive of mortality. Conclusions: The ATHLOS scale, due to its reliability and global representativeness, has the potential to contribute to worldwide research on healthy ageing.