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Objectives: To explore whether the association between physical activity (PA) and cognition is moderated by neighbourhood disadvantage, and whether this relationship varies with age., Study Design: A longitudinal analysis of the Canadian Longitudinal Study on Aging, wherein we included participants (N = 41,599) from urban areas who did not change their residential postal code from baseline (2010-2015) to first follow-up (2015-2018)., Main Outcome Measures: At baseline, we measured PA using the Physical Activity Scale for the Elderly, and neighbourhood disadvantage using the Material and Social Deprivation Indices., Results: Using latent change score regression models, we determined that higher PA at baseline was independently associated with greater maintenance in memory performance from baseline to first follow-up both for adults aged 45-64 (B = 0.04, SE = 0.01, p = 0.001) and for those aged 65+ years (B = 0.12, SE = 0.02, p < 0.001). For participants aged 45-64 years, greater material deprivation was independently associated with declines in memory performance (B = -0.10, SE = 0.03, p < 0.001). In addition, greater social deprivation was associated with a stronger effect of PA on changes in executive functions (B = 0.17, SE = 0.08, p = 0.025) for adults aged 45-64 years; greater material deprivation was associated with a stronger effect of PA on changes in memory performance (B = 0.07, SE = 0.03, p = 0.022). We failed to detect any interactions between PA and neighbourhood disadvantage among adults aged 65+ years (all p values >0.05)., Conclusion: For middle-aged adults, the benefits of PA on cognitive performance may be strongest among adults living with greater neighbourhood social and material disadvantages. For older adults, PA may be beneficial to cognitive performance irrespective of neighbourhood disadvantages., Competing Interests: Declaration of competing interest The authors declare that they have no competing interest., (Copyright © 2024 The Authors. Published by Elsevier B.V. All rights reserved.)

Objectives: This study compared two approaches to analyzing bidirectional associations between aspects of cognition-specifically, verbal memory and fluency-and depression using multi-wave longitudinal data. The cross-lagged panel model (CLPM) does not distinguish between- versus within-person variation, whereas the random-intercepts CLPM (RI-CLPM) partitions variation into a stable, trait-like component that varies across individuals and a wave-specific deviation that varies within individuals., Methods: Observational study of 47,719 adults ages 45 to 95 from the Survey of Health, Ageing, and Retirement in Europe (mean age = 63 years, SD = 9 years at first assessment; 57 % female). Participants completed at least four of 8 biennial waves of data collection from 2004 and 2020. Depressive symptoms were assessed by the EURO-D. Cognition was assessed by animal fluency, and immediate and delayed word recall. Multi-group CLPMs and RI-CLPMs were fit on middle-aged (45-65 year) and older (65+ years) males and females., Results: The estimates from the CLPMs indicated bidirectionality in the associations between cognition and depression, whereas the RI-CLPMs provided clearer evidence that changes in depression may produce subsequent changes in cognition, rather than vice versa. Prospective associations were small and consistent across age, sex and cognitive measure., Limitations: Measures of executive function-a domain of cognition affected by aging and related to mood-were not available., Conclusions: CLPMs and RI-CLPMs address conceptually distinct questions about how verbal memory and fluency may be dynamically related to depression, and therefore, produce different inferences from the same data about how these aspects of cognition and depression are related., Competing Interests: Conflict of interest Neither author has a conflict of interest to report., (Copyright © 2022 Elsevier B.V. All rights reserved.)

As the population ages, interest is increasing in studying aging well. However, more refined means of examining predictors of biopsychosocial conceptualizations of successful aging (SA) are required. Existing evidence of the relationship between early-life education and later-life SA is unclear. The Successful Aging Index (SAI) was mapped onto the Cognitive Function and Aging Study (CFAS), a longitudinal population-based cohort (n = 1,141). SAI scores were examined using growth mixture modelling (GMM) to identify SA trajectories. Unadjusted and adjusted (age, sex, occupational status) ordinal logistic regressions were conducted to examine the association between trajectory membership and education level. GMM identified a three-class model, capturing high, moderate, and low functioning trajectories. Adjusted ordinal logistic regression models indicated that individuals in higher SAI classes were significantly more likely to have higher educational attainment than individuals in the lower SAI classes. These results provide evidence of a life course link between education and SA.

Background: Many definitions of successful aging (SA) exist in the absence of an established consensus definition. There are few examples of a priori application of SA models in real world contexts using external validation procedures. The current study aims to establish the predictive validity of an a priori, continuous model of SA with respect to service utilization., Methods: Individuals (n = 740; 64.2% female) aged 65 years and over (mean 75.9; SD 6.2), randomly selected from general practitioner registries in five sites across the United Kingdom included in the second and third combined screen and assessment waves of the Medical Research Council Cognitive Function and Aging Study (MRC CFAS; a longitudinal population-based cohort study) comprised the baseline and two-year follow-up in the current study. A Successful Aging Index (SAI) was created using items identified by systematic reviews of operational definitions and lay perspectives of SA, capturing physiological and psychosocial components. Demographic data and SAI components were collected at baseline. Outcome measures, i.e. health service use, informal care use, and functional service, were captured at two years follow-up., Results: Logistic regression revealed significant relationships between the SAI and six of eight service use outcomes in models adjusted for age, sex, education, and socio-economic status. Analysis of the area under the receiver operating characteristic (ROC) curve demonstrated sufficient predictive capabilities for all models, (range 0.65-0.86)., Conclusions: The SAI demonstrated a strong association, and predictive accuracy, with respect to service use, providing preliminary support for the practical utility and usefulness of this measure.