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The objectives of this article are to introduce a conceptual framework for physical resilience in the context of ageing and to discuss key elements and challenges in the design of studies of physical resilience after health stressors. Advancing age is associated with increasing exposure to multiple stressors and declining capacity to respond to health stressors. Resilience is defined broadly as the ability to resist or recover well from the adverse effects of a health stressor. In ageing‐related study designs of physical resilience after a health stressor, this dynamic resilience response can be observed as changes in repeated measures of function or health status in various domains important to older adults. Methodologic issues in selecting the study population, defining the stressor, covariates, outcomes, and analytic strategies are highlighted in the context of an ongoing prospective cohort study of physical resilience after total knee replacement surgery. The article concludes with approaches to intervention development to optimize resilience. [ABSTRACT FROM AUTHOR]

OBJECTIVES: Defining common patterns of recovery after an acute health stressor (resiliency groups) has both clinical and research implications. We sought to identify groups of patients with similar recovery patterns across 10 outcomes following hip fracture (stressor) and to determine the most important predictors of resiliency group membership. DESIGN: Secondary analysis of three prospective cohort studies. SETTING: Participants were recruited from various hospitals in the Baltimore Hip Studies network and followed for up to 1 year in their residence (home or facility). PARTICIPANTS: Community‐dwelling adults aged 65 years or older with recent surgical repair of a hip fracture (n = 541). MEASUREMENTS: Self‐reported physical function and activity measures using validated scales were collected at baseline (within 15‐22 d of fracture), 2, 6, and 12 months. Physical performance tests were administered at all follow‐up visits. Stressor characteristics, comorbidities, and psychosocial and environmental factors were collected at baseline via participant report and chart abstraction. Latent class profile analysis was used to identify resiliency groups based on recovery trajectories across 10 outcome measures and logistic regression models to identify factors associated with those groups. RESULTS: Latent profile analysis identified three resiliency groups that had similar patterns across the 10 outcome measures and were defined as "high resilience" (n = 163 [30.1%]), "medium resilience" (n = 242 [44.7%]), and "low resilience" (n = 136 [25.2%]). Recovery trajectories for the outcome measures are presented for each resiliency group. Comparing highest with the medium‐ and low‐resilience groups, self‐reported pre‐fracture function was by far the strongest predictor of high‐resilience group membership with area under the curve (AUC) of.84. Demographic factors, comorbidities, stressor characteristics, environmental factors, and psychosocial characteristics were less predictive, but several factors remained significant in a multivariable model (AUC =.88). CONCLUSION: These three resiliency groups following hip fracture may be useful for understanding mediators of physical resilience. They may provide a more detailed description of recovery patterns in multiple outcomes for use in clinical decision making. J Am Geriatr Soc 67:2519–2527, 2019 [ABSTRACT FROM AUTHOR]

Focus on decline in performance of activities of daily living (ADL) has not been matched by studies of recovery of function. Advised by a broad conceptual model of physical resilience, we ascertain characteristics that identify (1) maintenance, (2) decline, and (3) recovery of personal self-maintenance activities over six years in an older, community representative, African American and white sample. Longitudinal study, analyses included descriptive statistics and repeated measures proportional hazards. Community-representative participants of the Duke Established Populations for Epidemiologic Studies of the Elderly (EPESE), unimpaired at baseline (n = 3187; 46% white, 54% African American; 64% female, 36% male), followed annually for up to 6 years. Data included information on basic activities of daily living (BADL), demographic characteristics, health status, social services provided and received, household size, neighborhood safety, and survival status. Over 6 years, ∼75% remained unimpaired, of whom 30% were unimpaired when they dropped out or died. Of ∼25% who became impaired, just under half recovered. Controlled analyses indicated that those who became impaired were in poorer health, younger, and more likely to be African American. Characteristics of recovery included younger age, not hospitalized in the previous year, and larger household size. Maintenance of health status facilitated continued unimpaired BADL. While decline was associated with poorer health, younger age, and being African American, recovery was also associated with younger age, together with larger household size, and no further deterioration in health as measured here. Maintenance of good health is preferred, but following decline in functioning, increased effort to improve health and avoid further decline, which takes into account not only physical but also personal social conditions, is needed. [ABSTRACT FROM AUTHOR]