Exercise Intensity Among Older Adults Participating From Home in Remotely Delivered EnhanceFitness.

We aimed to examine exercise intensity among older adults participating from home in remotely delivered EnhanceFitness (Tele-EF). Exercise intensity was assessed through Fitbit-measured heart rate and the Borg 10-point rating of perceived exertion over 1 week of a 16-week exercise program. Outcomes included mean minutes spent at or above the heart rate reserve calculated threshold for moderate intensity and mean rating of perceived exertion. Pearson and Spearman rank correlations were used to examine associations between baseline characteristics with exercise intensity. During the 60-min classes, the 55 participants achieved moderate intensity for a mean of 21.0 min (SD = 13.5) and had a mean rating of perceived exertion of 4.9 (SD = 1.2). There were no significant associations between baseline characteristics and exercise intensity. Older adults can achieve sustained moderate-intensity exercise during Tele-EF supervised classes. Baseline physical function, physical activity, and other health characteristics did not limit ability to exercise at a moderate intensity, though further investigation is warranted.

Remotely Delivered Exercise to Rural Older Adults With Knee Osteoarthritis: A Pilot Study.

OBJECTIVE: EnhanceFitness (EF) is an evidence-based exercise program recommended for management of osteoarthritis (OA). However, access to EF is limited in rural areas. Accordingly, we evaluated the feasibility and acceptability of remotely delivered EF (tele-EF) in rural, community-dwelling older adults with symptomatic knee OA. METHODS: A single-arm pilot trial of tele-EF classes was conducted. Videoconferencing was used to livestream the instructor-led, 1-hour EF classes 3 days/week for 12 weeks. Outcomes were assessed at baseline and immediately post intervention. RESULTS: A total of 15 of 27 potential participants (55%) were screen eligible and enrolled into the trial. Participants had a median age of 70 years (interquartile range: 67-75), and 14 (93%) were women. The median EF class attendance rate was 91% (interquartile range: 85%-94%). Knee pain, as measured by the Knee Injury and Osteoarthritis Outcome Score (KOOS), improved significantly from baseline to the 12-week end point (mean difference = -11.4 [95% confidence interval (CI): -20.9 to -2.0]; P = 0.02). In addition, participants' self-reported knee function improved significantly (mean difference in KOOS function score = -11.8 [95% CI: -18.4 to -5.2]; P < 0.01) as well as their physical capacity (mean difference in Timed Up and Go test time = 1.8 seconds [95% CI: 0.2-3.4]; P = 0.03). All participants (100%) were very satisfied with tele-EF classes, and 12 participants (86%) reported that their condition had much improved or very much improved since beginning the EF exercise program. Lastly, there were no serious adverse events. CONCLUSION: Findings from this pilot trial indicate that tele-EF is feasible and acceptable in rural older adults with knee OA.

The metabolome as a biomarker of aging in Drosophila melanogaster.

Many biomarkers have been shown to be associated not only with chronological age but also with functional measures of biological age. In human populations, it is difficult to show whether variation in biological age is truly predictive of life expectancy, as such research would require longitudinal studies over many years, or even decades. We followed adult cohorts of 20 Drosophila Genetic Reference Panel (DGRP) strains chosen to represent the breadth of lifespan variation, obtain estimates of lifespan, baseline mortality, and rate of aging, and associate these parameters with age-specific functional traits including fecundity and climbing activity and with age-specific targeted metabolomic profiles. We show that activity levels and metabolome-wide profiles are strongly associated with age, that numerous individual metabolites show a strong association with lifespan, and that the metabolome provides a biological clock that predicts not only sample age but also future mortality rates and lifespan. This study with 20 genotypes and 87 metabolites, while relatively small in scope, establishes strong proof of principle for the fly as a powerful experimental model to test hypotheses about biomarkers and aging and provides further evidence for the potential value of metabolomic profiles as biomarkers of aging.

Impact of COVID-19 'Stay Home, Stay Healthy' Orders on Function among Older Adults Participating in a Community-Based, Behavioral Intervention Study.

Background: Early mitigation orders for COVID-19 halted participation in community-based programs. We examined the early impact of "Stay Home, Stay Healthy" orders on functioning in older adults participating in a behavioral intervention study involving community-based exercise. Methods: A quasi-natural experiment, using mixed methods (n = 39). Participants completed interviews and questionnaires after 3-4 weeks of the Stay Home, Stay Healthy directive. PROMIS-29 outcomes were compared to pre-COVID-19 responses. Results: Participants had a mean age of 74.1 (6.5) years, 79.5% were women, and 20.5% were racial/ethnic minorities. Compared to pre-COVID-19, there was a significant increase in anxiety and decrease in fatigue and social participation. Thematic analysis revealed five main themes related to disruption of daily life, the emotional and physical impact of stay-at-home orders, unexpected positive outcomes, and perspectives on messaging surrounding the pandemic. Conclusions: Efforts to curb the spread of COVID-19 have substantially impacted the lives of older adults participating in community-based exercise.

The metabolome as a link in the genotype-phenotype map for peroxide resistance in the fruit fly, Drosophila melanogaster.

BACKGROUND: Genetic association studies that seek to explain the inheritance of complex traits typically fail to explain a majority of the heritability of the trait under study. Thus, we are left with a gap in the map from genotype to phenotype. Several approaches have been used to fill this gap, including those that attempt to map endophenotype such as the transcriptome, proteome or metabolome, that underlie complex traits. Here we used metabolomics to explore the nature of genetic variation for hydrogen peroxide (H2O2) resistance in the sequenced inbred Drosophila Genetic Reference Panel (DGRP). RESULTS: We first studied genetic variation for H2O2 resistance in 179 DGRP lines and along with identifying the insulin signaling modulator u-shaped and several regulators of feeding behavior, we estimate that a substantial amount of phenotypic variation can be explained by a polygenic model of genetic variation. We then profiled a portion of the aqueous metabolome in subsets of eight 'high resistance' lines and eight 'low resistance' lines. We used these lines to represent collections of genotypes that were either resistant or sensitive to the stressor, effectively modeling a discrete trait. Across the range of genotypes in both populations, flies exhibited surprising consistency in their metabolomic signature of resistance. Importantly, the resistance phenotype of these flies was more easily distinguished by their metabolome profiles than by their genotypes. Furthermore, we found a metabolic response to H2O2 in sensitive, but not in resistant genotypes. Metabolomic data further implicated at least two pathways, glycogen and folate metabolism, as determinants of sensitivity to H2O2. We also discovered a confounding effect of feeding behavior on assays involving supplemented food. CONCLUSIONS: This work suggests that the metabolome can be a point of convergence for genetic variation influencing complex traits, and can efficiently elucidate mechanisms underlying trait variation.