Although the physical environment can influence people’s activity, there are few knowledge syntheses for indoor environments and older adults’ daily life routines. Therefore, we conducted a systematic review of peer-reviewed evidence to inform future research and practice. Inclusion criteria were studies with any research designs, across all years and languages focused on older adults 60 years of age or more, on physical activity/sedentary behaviour and the indoor environment. After searching five databases, two authors completed title/abstract and full-text screening. The last search was on December 19, 2020. We screened 1,367 citations, and included 23 studies situated in private or collective dwellings (e.g., assisted living). We identified physical activity-supportive indoor features across three domains: campus (e.g., amenities, pathways), building (e.g., area, floor level), and fixtures (e.g., elevators, hallways). Knowledge of indoor environmental factors for older adults’ engagement in daily activities can guide future research and policy on housing design.

This study examines whether memory intervention programs can mitigate health care costs. Research suggests these programs translate to a decreased intention of older adults who are worried about age-normal memory changes to seek traditional outlets for medical/psychiatric help. We employed a cost-benefit analysis approach to analyze the effectiveness of a memory intervention program within Ontario. We leveraged estimates of decreased intentionality to seek physician care following a community-based memory intervention with physician billing profiles to calculate the potential cost savings to the province’s health care system. The intervention studied was found to reduce provincial health care spending by $6,094 per program group. This amount exceeds $121.25 in direct costs per attendee associated with administering five program sessions. This analysis justifies further research on how community-based memory and aging programs can offer low-cost solutions to help individuals cope with subjective memory complaints and assist the health care system in prioritizing care for aging patients.

Le vieillissement démographique est un des défis majeurs du 21e siècle. Il pose directement la question du « vieillissement en santé », un processus aidant les personnes âgées à rester en bonne santé et indépendantes le plus longtemps possible. L’influence des facteurs environnementaux sur ce processus peut varier selon les individus et leurs comportements. L’enchevêtrement de ces facteurs représente un défi autant théorique que méthodologique. Cet article a pour objectifs i) de quantifier les associations entre l’environnement physique et social du quartier des personnes âgées et leur vieillissement en santé et ii) d’examiner si leur activité physique et leur participation sociale jouent un rôle de médiation dans ces associations. Si certaines caractéristiques du quartier relatives à la réputation, l’accès aux services, et la cohésion sociale sont associées au vieillissement en santé, il existe un soutien limité à l’idée que les comportements tiennent un rôle d’intermédiaire dans cette relation.

This study examines associations between lifestyle behavioural factors and appraisals of “healthy aging” among older adults experiencing multimorbidity. A Social Determinants and Health Behaviour Model (SDHBM) is used to frame the analyses. Using baseline data from the Canadian Longitudinal Study on Aging (CLSA), we studied 12,272 Canadians 65 years of age or older who reported 2 or more of 27 chronic conditions. Additional analyses were conducted using three multimorbidity clusters: cardiovascular/metabolic, musculoskeletal, and mental health. Using hierarchical logistic regression, it was found that, for multmorbidity and the three illness clusters, healthy aging is consistently associated with not smoking (except for the mental health cluster), an absence of obesity (except for the cardiovascular and metabolic cluster), better sleep, and a better appetite. It is not associated with inactivity. Several socio-demographic, environmental, and illness covariates were also supported. The findings are examined using the SDHBM coupled with a resilience lens in order to elucidate how modifiable health behaviours can act as resources to mitigate multimorbidity adversities. This has implications for healthy aging for persons with multimorbidity, especially during the COVID-19 pandemic.

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.