The association of fatigue with dispositional mindfulness: relationships by levels of depressive symptoms, sleep quality, childhood adversity, and chronic medical conditions.

Although mindfulness-based interventions may be effective in addressing the common symptom of fatigue, no population-based studies have examined the relationship between mindfulness and fatigue. We determined whether higher levels of dispositional mindfulness were associated with lower levels of fatigue. Cross-sectional data were obtained through the Pennsylvania Head Start Staff Wellness Survey, a 2012 web-based survey in which 2199 of 3375 (65%) eligible staff participated. The analytic sample was restricted to the 2083 female respondents with complete data on dispositional mindfulness (Cognitive and Affective Mindfulness Scale-Revised) and fatigue (Fatigue Severity Scale). We determined the mean covariate-adjusted fatigue scores in each quartile of dispositional mindfulness. This relationship was examined in the overall sample and within subgroups defined by levels of four variables: depressive symptoms, poor sleep quality, childhood adversity, and chronic medical conditions. The sample was 86% non-Hispanic White, and 61% had a bachelor's or more advanced degree. The mean (SD) Fatigue Severity Scale score was 3.3 (1.3). The adjusted mean fatigue score decreased significantly and in a graded manner across higher quartiles of mindfulness, with the adjusted fatigue score 1.4 points lower (95% confidence interval: -1.5, -1.2) among those in the highest quartile of dispositional mindfulness compared to the lowest. This significant graded relationship was present within each subgroup examined, and there was not a statistically significant interaction between dispositional mindfulness and any subgroup variable. Future trials of mindfulness-based interventions should consider assessing the outcome of fatigue in both clinical and non-clinical populations.

Strategies for responding to the COVID-19 pandemic in a rural health system in New York state.

Research and media reports about coronavirus disease 2019 (COVID-19) have largely focused on urban areas due to their high caseloads. However, the COVID-19 pandemic presents distinct and under-recognized challenges to rural areas. This report describes the challenges faced by Bassett Healthcare Network (BHN), a health network in rural upstate New York, and the strategies BHN devised in response. The response to COVID-19 at BHN focused on 4 strategies: (1) Expansion of intensive-care capacity. (2) Redeployment and retraining of workforce. (3) Provision of COVID-19 information, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) viral testing, and appropriate follow-up for a geographically dispersed population. (4) Coordination of the response to the pandemic across a large, diverse organization. Rural health systems and hospitals can take steps to address the specific challenges posed by the COVID-19 pandemic in their communities. We believe that the strategies BHN employed to adapt to COVID-19 may be useful to other rural health systems. More research is needed to determine which strategies have been most effective in responding to the pandemic in other rural settings.