Our findings support the importance of frailty in late-life health etiology and potential value of frailty as a marker of risk for adverse health outcomes and as a means of identifying opportunities for intervention in clinical practice and public health policy.

Objectives To determine effect size and acceptability of a multi-component behavior and home repair intervention with low-income, disabled older adults Design Prospective randomized controlled pilot trial Setting Participants’ homes Participants 40 low income older adults with difficulties in at least 1 Activity of Daily Living (ADL) or 2 Instrumental Activities of Daily Living (IADL). Intervention Coordinated occupational therapy (OT), nursing (RN), and handyman (HM) visits compared to attention-control visits. The intervention consisted of up to 6 visits with an OT, up to 4 visits with an RN and an average of $1,300 in HM repairs and modifications. Each intervention participant received all components of the intervention clinically tailored to risk profile and goals. Each attention-control participant received the same number of visits as the intervention participants, involving sedentary activities of their choice. Measurement Primary Outcome: difficulty in performing ADL and IADLs. Secondary outcomes: Health related quality of life and falls–efficacy. Results Thirty five of 40 adults (87%) completed the 6-month trial and 93% and 100% of the control and intervention group, respectively, stated the study benefited them. The intervention group improved on all outcomes. When comparing the mean change in the intervention group compared to the mean change in the control group from baseline to follow up, the CAPABLE intervention had an effect size of 0.63 for reducing difficulty in ADLs, 0.62 for reducing difficulty in IADLs, 0.89 for Quality of Life, and 0.55 for Falls-efficacy. Conclusion The multi-component CAPABLE intervention was acceptable to participants, feasible to provide, and showed promising results, suggesting that this multi-component intervention to reduce disability should be evaluated in a larger trial.

Previous studies have identified many biomarkers that are associated with aging and related outcomes, but the relevance of these markers for underlying processes and their relationship to hypothesized systemic dysregulation is not clear. We address this gap by presenting a novel method for measuring dysregulation via the joint distribution of multiple biomarkers and assessing associations of dysregulation with age and mortality. Using longitudinal data from the Women's Health and Aging Study, we selected a 14-marker subset from 63 blood measures: those that diverged from the baseline population mean with age. For the 14 markers and all combinatorial sub-subsets we calculated a multivariate distance called the Mahalanobis distance (MHBD)2 for all observations, indicating how “strange” each individual's biomarker profile was relative to the baseline population mean. In most models, MHBD correlated positively with age, MHBD increased within individuals over time, and higher MHBD predicted higher risk of subsequent mortality. Predictive power increased as more variables were incorporated into the calculation of MHBD. Biomarkers from multiple systems were implicated. These results support hypotheses of simultaneous dysregulation in multiple systems and confirm the need for longitudinal, multivariate approaches to understanding biomarkers in aging.

Background-Frailty is a common risk factor for morbidity and mortality in older adults. Although both low socioeconomic status (SES) and frailty are important sources of vulnerability, there is limited research examining their relationship. We sought to determine 1) the extent to which low SES was associated with increased odds of frailty and 2) whether race was associated with frailty, independent of SES.

The theory of allostatic load describes how the cumulative experience of emotional challenges and stressful events over the life course may take a significant physiological toll on multiple interrelated systems of the body. Various summary measures of these effects have been proposed in the literature, but few studies focus on systematically evaluating them. We use data from a population-based sample of older Taiwanese to compare the explanatory power and cross-sectional predictive performance of several measures of allostatic load for diverse health outcomes. We find that choices regarding which biomarkers to include in a summary measure and how the measure is formed have modest effects across the basic prediction models we evaluate. Our findings suggest that count-based summary measures incorporating risk at both high and low tails and measures that preserve the continuous properties of the biological variables are strategies that may yield stronger predictions of a wider array of health outcomes than other measures. These fundamental insights are useful for researchers in search of empirical formulations of allostatic load and for those who are focused on the development of improved measurement strategies.

Frailty is a state of health signified by an increased vulnerability to adverse health outcomes in the face of stressors (e.g. infection). There is emerging consensus that research on both the theory and measurement of frailty must focus on the dynamic interactions within and across systems underlying the frailty syndrome. In this paper, we propose a dynamical systems modeling approach, based on the stimulus-response experimental paradigm, to propel future advances in the study of frailty. Our proposal is novel in that it provides a quantitative framework to operationalize and test the core notion underlying frailty that it signifies a loss of resilience in homeostatic regulation. The proposed framework offers many important benefits, including (a) insights into whether and how homeostatic regulation differs between frail and non-frail older adults, (b) identification of critical regulatory systems, if they exist, that could function as sentinel systems for screening and early detection of frailty, (c) establishment of the value of provocative tests that can provide maximal information on the integrity of systems identified in (b), and (d) evaluation and unification of diverse empirical descriptions of frailty by providing a mathematical framework anchored in quantifying the loss of resilience, an essential property of frailty.

Few studies have addressed changes in physical activity participation over time among the elderly. The authors hypothesized that there were distinct trajectories of physical activity level over time and identifiable predictors of such trajectories, as well as that the maintenance of regular physical activity, even below recommended levels, was associated with lower mortality risk. Using longitudinal data (1994-2009) from 433 initially high-functioning older women aged 70-79 years at baseline, a joint latent class and survival mixture model identified 4 activity trajectory classes: always active (16.6%), fast declining (19.2%), stable moderate (32.3%), and always sedentary (31.9%). Obesity, coronary artery disease, chronic obstructive pulmonary disease, depressive symptoms, low self-efficacy, mobility disability, and low energy were associated with sedentary behavior and/or a fast decline in activity. Women in the fast declining and always sedentary classes had hazard ratios for death of 2.34 (95% confidence interval: 1.20, 4.59) and 3.34 (95% confidence interval: 1.72, 6.47), respectively, compared with the always active class; no mortality difference was found between the stable moderate and always active groups (hazard ratio = 1.24, 95% confidence interval: 0.63, 2.47). Our findings suggest that physical activity does not have to be vigorous to be beneficial and that the gain may be the greatest among women who reported the lowest levels of activity.

Natural disasters, such as earthquakes, can have deleterious consequences for physical and psychological health. In this study, we investigate variability in resilience to depressive symptoms in the aftermath of a massive earthquake that struck Taiwan in 1999. We analyze data on 1160 older individuals from a national, longitudinal survey with interviews before and after the earthquake. This survey contains extensive information on physical and cognitive function, depressive symptoms, socio-demographic characteristics and earthquake-related exposure and experiences. We estimate regression models to identify risk factors associated with the presence of depressive symptoms after the disaster, controlling for health status and the presence of depressive symptoms beforehand. We pay special attention to how socio-demographic factors moderate the psychological impact of the earthquake. Results indicate that persons of low socioeconomic status (SES), socially isolated individuals, and women reported higher levels of depressive symptoms than their respective counterparts, as did persons who experienced damage to their homes. The psychological effects of damage were strongest among those aged 54-70. The findings suggest that people who experience damage to their home during a disaster are at risk of experiencing depressive symptoms, with the elderly being more resilient than the near-elderly.