Does the choice of Allostatic Load scoring algorithm matter for predicting age-related health outcomes?

摘要: Abstract Allostatic Load (AL) is posited to provide a measure of cumulative physiological dysregulation across multiple biological systems and demonstrates promise as sub-clinical marker overall health. Despite the large heterogeneity measures employed in literature represent AL, few studies have investigated impact different AL scoring predicting This study uses data for 4477 participants aged 50+ years participating Irish Longitudinal Study on Ageing (TILDA) compare utility 14 algorithms that been used operationalise (i.e. count-based high-risk quartiles, deciles, two-tailed cut-points, z-scores, system-weighted indices, clinical sex-specific scores, incorporating medication usage). Model fit was assessed using R2, Bayesian Information Criterion (BIC), area under Receiver Operating Characteristic curve (AUC). The medications predicted walking speed SRH marginally better than others. In general, not predictive grip strength. Overall, results suggest choice algorithm exerts relatively modest influence number important health outcomes.