Background It is estimated that the number of individuals living with dementia worldwide will increase from 50 million in 2017 to 152 million by 2050. Assistive technology has been recognized as a promising tool to improve the lives of persons living with memory loss and their caregivers. The use of assistive technology in dementia care is expanding, although it is most often intended to manage care and promote safety. There is a lack of assistive technology designed to aid persons with memory loss in participating in meaningful activities. The Social Support Aid (SSA) is a mobile phone-based app that employs facial recognition software. It was designed to assist persons with memory loss remember the names and relationships of the people they interact with to promote social engagement. Objective This study uses a pilot randomized controlled trial (RCT) design to evaluate the SSA. The objectives were to ascertain (1) the feasibility and utility of the SSA, (2) whether the outcomes of SSA use suggest potential benefits for persons living with memory loss and their care partners, and (3) how study design components could inform subsequent RCTs. Methods Persons with memory loss were randomized to the SSA (n=20) or the usual care control group (n=28). Quantitative data were collected at three timepoints (baseline, 3 months, and 6 months). Participants in the intervention group participated in qualitative interviews following completion of their 6-month survey. Results Participant eligibility, willingness to be randomized, and retention were not barriers to conducting a full-scale RCT; however, recruitment strategies should be addressed before doing so. Feasibility and utility scores indicated that participants felt neutral about the technology. Use of the SSA was not significantly associated with changes in quality of social interactions or quality of life measures over the 6 months of follow-up ( P >.05). The qualitative analysis revealed three themes that described how and why the SSA worked or not: (1) outcomes, (2) reasons why it was or was not useful, and (3) recommendations. Conclusions There is a need to develop effective assistive technology that improves the quality of life of persons with memory loss. Assistive technology that allows persons living with memory loss to maintain some level of autonomy should be a priority for future research. This study suggests reasons why the SSA facial recognition software did not appear to improve the quality of social interaction and quality of life of people with memory loss. Results also provide recommendations for future assistive technology development and evaluation. Trial Registration ClinicalTrials.gov NCT03645694; https://clinicaltrials.gov/ct2/show/NCT03645694 (Archived by WebCite at http://www.webcitation.org/78dcVZIqq)

We found that the early months spent calibrating and modifying RAM are potentially challenging for families, which may prevent this technology from improving caregiving outcomes during initial months of use. Remote activity monitoring may work optimally for caregivers of persons living with ADRD in specific situations (e.g., earlier stages of dementia; wandering risk), which suggests the need for appropriate needs assessments that can better target such innovations.

ObjectiveWe constructed a predictive model of long-term risk for severe hypoglycemia (SH: hypoglycemia requiring assistance) in patients with type 2 diabetes (T2DM).Research design and methodsData from the Action to Control Cardiovascular Risk in Diabetes (ACCORD) study (original n=10 251, n=5135 used in the current analysis), a randomized, multicenter, double 2×2 factorial design study examining the effect of glycemic, blood pressure, and lipid control on cardiovascular outcomes in patients with diagnosed T2DM, were used. Over the follow-up (3.76±1.12 years), the ACCORD participants experienced 607 incident SH events. Cox regression was used to identify the SH risk prediction model.ResultsWe identified 17 predictors—glycemic management, age, race, education, waist circumference, medications (insulin, antihypertensive, HMG-CoA reductase inhibitors, sulfonylurea, biguanide and meglitinide), years since diabetes diagnosis, history of hypoglycemia in the last week, systolic blood pressure, diastolic blood pressure, serum creatinine, and urinary albumin creatinine ratio—to construct a prediction model for SH (c-statistic=0.782). Using this information, we derived point scores to estimate the 5-year risk for SH in individual patients with T2DM. After adjusting for other variables in the model, the three strongest predictors for SH over 5 years were intensive glycemic management (HR=2.37, 95% CI 1.99 to 2.83), insulin use (HR=2.14, 95% CI 1.77 to 2.59), and antihypertensive medication use (HR=1.90, 95% CI 1.26 to 2.86).ConclusionUsing the ACCORD data, we identified attributes to predict 5-year risk of SH in patients with T2DM, which warrant evaluation in broader populations to determine applicability.

Background: Families do not fully disengage from care responsibilities following relatives' admissions to residential long-term (RLTC) care settings such as nursing homes. Caregiver stress, depression, or other key outcomes remain stable or sometimes increase following a relative's RLTC entry. Some interventions have attempted to increase family involvement after institutionalization, but few rigorous studies have demonstrated whether these interventions are effective in helping families navigate the potential emotional and psychological upheaval presented by relatives' transitions to RLTC environments. The Residential Care Transition Module (RCTM) provides six formal sessions of consultation (one-to-one and family sessions) over a 4-month period to family caregivers who have admitted a relative to a RLTC setting. Methods: In this embedded mixed methods randomized controlled evaluation, family members who have admitted a cognitively impaired relative to a RLTC setting are randomly assigned to the RCTM (n = 120) or a usual care control condition (n = 120). Primary outcomes include reductions in family members' primary subjective stress and negative mental health outcomes; secondary role strains; and residential care stress. The mixed methods design will allow for an analysis of intervention action mechanisms by "embedding" qualitative components (up to 30 semi-structured interviews) at the conclusion of the 12-month evaluation.

Purpose: The importance of cardiorespiratory fitness vs. adiposity in determining heart rate variability (HRV) is unclear. Methods: From CARDIA, an observational cohort study, we included 2,316 participants (mean age 45.2±3.6 years at Year 20, 57% female, 43% black) with HRV measured in 2005-06 (Year 20), and graded exercise test duration (GXTd) and adiposity measures (BMI, waist circumference) obtained in 1985-86 (baseline) and 2005-06. HRV measures (standard deviation of all normal RR intervals [SDNN] and square root of the mean of the squares of differences between all successive RR intervals [RMSSD]) were obtained from resting 30-second 12-lead ECGs. Cross-sectional associations between GXTd, adiposity and HRV were assessed at Year 20. Longitudinal changes in GXTd and adiposity measures were categorized as ≥10% increase, <10% change (no change), or ≥10% decrease. We used multivariable logistic regression to assess associations of GXTd and adiposity measures with unfavorable vs. more favorable HRV (lower 25th percentile vs. upper 75 th percentile).

Biological age (BA) is a construct that captures accelerated biological aging attributable to “wear and tear” from various exposures; we measured BA and weathering, defined as the difference between BA and chronological age, and their associations with race and psychosocial factors in a middle-aged bi-racial cohort. We used data from the Coronary Artery Risk in Young Adults study (CARDIA), conducted in 4 U.S. cities from 1985–2016 to examine weathering for adults aged 48–60 years. We estimated BA via the Klemera and Doubal method using selected biomarkers. We assessed overall and race-specific associations between weathering and psychosocial measures. For the 2694 participants included, Blacks had a BA (SD) that was 2.6 (11.8) years older than their chronological age while the average BA among Whites was 3.5 (10.0) years younger than their chronological age (Blacks weathered 6.1 years faster than Whites). Belonging to more social groups was associated with less weathering in Blacks but not Whites, and after multivariable adjustment, lower SES and more depressive symptoms were associated with more weathering among Blacks than among Whites. We confirmed racial differences in weathering, and newly documented that similar psychosocial factors may take a greater toll on the biological health of Blacks than Whites.

Objectives Theory suggests that individuals with higher neuroticism have more severe negative reactions to stress, though empirical work examining the interaction between neuroticism and stressors has yielded mixed results. The present study investigated whether neuroticism and other Big Five traits moderated the effects of recent stressful life events on older adults’ health outcomes. Method Data were drawn from the subset of Health and Retirement Study participants who completed a Big Five personality measure (N = 14,418). We used latent growth curve models to estimate trajectories of change in depressive symptoms, self-rated physical health, and C-reactive protein levels over the course of 10 years (up to six waves). We included Big Five traits and stressful life events as covariates to test their effects on each of these three health outcomes. We examined stressful life events within domains of family, work/finances, home, and health, as well as a total count across all event types. Results Big Five traits and stressful life events were independently related to depressive symptoms and self-rated health. There were no significant interactions between Big Five traits and stressful life events. C-reactive protein levels were unrelated to Big Five traits and stressful life events. Discussion Findings suggest that personality and stressful life events are important predictors of health outcomes. However, we found little evidence that personality moderates the effect of major stressful events across a 2-year time frame. Any heightened reactivity related to high neuroticism may be time-limited to the months immediately after a major stressful event.

Objectives: Previous analyses of interventions targeting relationships between family caregivers of people with Alzheimer’s disease and related dementias and residential long-term care (RLTC) staff showed modest associations with caregiver outcomes. This analysis aimed to better understand interpersonal and contextual factors that influence caregiver–staff relationships and identify targets for future interventions to improve these relationships. Methods: Using a parallel convergent mixed methods approach to analyze data from an ongoing counseling intervention trial, descriptive statistics characterized the sample of 85 caregivers and thematic analyses explored their experiences over 4 months. Results: The findings illustrated that communication, perceptions of care, and relationships with staff are valued by family caregivers following the transition of a relative with dementia to RLTC. Discussion: The findings deepen understanding of potential intervention targets and mechanisms. These results can inform future psychosocial and psychoeducational approaches that assist, validate, and empower family caregivers during the transition to RLTC.