A mobile app to identify lifestyle indicators related to undergraduate mental health (smart healthy campus): Observational app-based ecological momentary assessment

Background: Undergraduate studies are challenging, and mental health issues can frequently occur in undergraduate students,straining campus resources that are already in demand for somatic problems. Cost-effective measures with ubiquitous devices,such as smartphones, offer the potential to deliver targeted interventions to monitor and affect lifestyle, which may result inimprovements to student mental health. However, the avenues by which this can be done are not particularly well understood,especially in the Canadian context.Objective: The aim of this study is to deploy an initial version of the Smart Healthy Campus app at Western University, Canada,and to analyze corresponding data for associations between psychosocial factors (measured by a questionnaire) and behaviorsassociated with lifestyle (measured by smartphone sensors).Methods: This preliminary study was conducted as an observational app-based ecological momentary assessment. Undergraduatestudents were recruited over email, and sampling using a custom 7-item questionnaire occurred on a weekly basis.Results: First, the 7-item Smart Healthy Campus questionnaire, derived from fully validated questionnaires-such as the BriefResilience Scale; General Anxiety Disorder-7; and Depression, Anxiety, and Stress Scale-21-was shown to significantly correlatewith the mental health domains of these validated questionnaires, illustrating that it is a viable tool for a momentary assessmentof an overview of undergraduate mental health. Second, data collected through the app were analyzed. There were 312 weeklyresponses and 813 sensor samples from 139 participants from March 2019 to March 2020; data collection concluded whenCOVID-19 was declared a pandemic. Demographic information was not collected in this preliminary study because of technicallimitations. Approximately 69.8% (97/139) of participants only completed one survey, possibly because of the absence of anyincentive. Given the limited amount of data, analysis was not conducted with respect to time, so all data were analyzed as a singlecollection. On the basis of mean rank, students showing more positive mental health through higher questionnaire scores tendedto spend more time completing questionnaires, showed more signs of physical activity based on pedometers, and had their devicesrunning less and plugged in charging less when sampled. In addition, based on mean rank, students on campus tended to reportmore positive mental health through higher questionnaire scores compared with those who were sampled off campus. Some datafrom students found in or near residences were also briefly examined.Conclusions: Given these limited data, participants tended to report a more positive overview of mental health when on campusand when showing signs of higher levels of physical activity. These early findings suggest that device sensors related to physical activity and location are useful for monitoring undergraduate students and designing interventions. However, much more sensordata are needed going forward, especially given the sweeping changes in undergraduate studies due to COVID-19

Caring for the caregiver during COVID-19 suspended visitation

During the 4th surge of COVID-19, August to November 2021, visitation was suspended in a hospital system in North Georgia. The Compassionate Connections Call Center (CCCC) was created to alleviate staff stress and to manage calls and communication. The goal of the initiative was to reduce interruptions to patient care caused by the increased number of calls to the clinical units by patients, families, loved ones and personal caregivers. The CCCC managed all incoming calls and communicated with the patient’s primary nurse through a coordinated process which limited interruptions. By caring for the caregiver, the aim was to improve the workplace experience of the nurses. Ninety-seven volunteers from over 13 departments across the organization worked in the CCCC and managed 3200 calls. With an average call time of roughly three minutes, the center freed up approximately 160 hours daily for nurses who might otherwise have paused patient care to answer calls. In addition, a family liaison role was created to proactively provide updates to families. This team of forty-six Registered Nurses worked a total of 2925 hours proactively updating families and facilitating virtual visits. Experience Framework This article is associated with the Staff & Provider Engagement lens of The Beryl Institute Experience Framework (https://www.theberylinstitute.org/ExperienceFramework). Access other PXJ articles related to this lens. Access other resources related to this lens

Extraction and sensitive detection of toxins A and B from the human pathogen Clostridium difficile in 40 seconds using microwave-accelerated metal-enhanced fluorescence.

Clostridium difficile is the primary cause of antibiotic associated diarrhea in humans and is a significant cause of morbidity and mortality. Thus the rapid and accurate identification of this pathogen in clinical samples, such as feces, is a key step in reducing the devastating impact of this disease. The bacterium produces two toxins, A and B, which are thought to be responsible for the majority of the pathology associated with the disease, although the relative contribution of each is currently a subject of debate. For this reason we have developed a rapid detection assay based on microwave-accelerated metal-enhanced fluorescence which is capable of detecting the presence of 10 bacteria in unprocessed human feces within 40 seconds. These promising results suggest that this prototype biosensor has the potential to be developed into a rapid, point of care, real time diagnostic assay for C. difficile

Upper limit map of a background of gravitational waves

We searched for an anisotropic background of gravitational waves using data from the LIGO S4 science run and a method that is optimized for point sources. This is appropriate if, for example, the gravitational wave background is dominated by a small number of distinct astrophysical sources. No signal was seen. Upper limit maps were produced assuming two different power laws for the source strain power spectrum. For an f^-3 power law and using the 50 Hz to 1.8 kHz band the upper limits on the source strain power spectrum vary between 1.2e-48 Hz^-1 (100 Hz/f)^3 and 1.2e-47 Hz^-1 (100 Hz /f)^3, depending on the position in the sky. Similarly, in the case of constant strain power spectrum, the upper limits vary between 8.5e-49 Hz^-1 and 6.1e-48 Hz^-1. As a side product a limit on an isotropic background of gravitational waves was also obtained. All limits are at the 90% confidence level. Finally, as an application, we focused on the direction of Sco-X1, the closest low-mass X-ray binary. We compare the upper limit on strain amplitude obtained by this method to expectations based on the X-ray luminosity of Sco-X1.Comment: 11 pages, 9 figures, 2 table

Upper limit map of a background of gravitational waves

We searched for an anisotropic background of gravitational waves using data from the LIGO S4 science run and a method that is optimized for point sources. This is appropriate if, for example, the gravitational wave background is dominated by a small number of distinct astrophysical sources. No signal was seen. Upper limit maps were produced assuming two different power laws for the source strain power spectrum. For an f^-3 power law and using the 50 Hz to 1.8 kHz band the upper limits on the source strain power spectrum vary between 1.2e-48 Hz^-1 (100 Hz/f)^3 and 1.2e-47 Hz^-1 (100 Hz /f)^3, depending on the position in the sky. Similarly, in the case of constant strain power spectrum, the upper limits vary between 8.5e-49 Hz^-1 and 6.1e-48 Hz^-1. As a side product a limit on an isotropic background of gravitational waves was also obtained. All limits are at the 90% confidence level. Finally, as an application, we focused on the direction of Sco-X1, the closest low-mass X-ray binary. We compare the upper limit on strain amplitude obtained by this method to expectations based on the X-ray luminosity of Sco-X1.Comment: 11 pages, 9 figures, 2 table

Multiomics in the central Arctic Ocean for benchmarking biodiversity change

Multiomics approaches need to be applied in the central Arctic Ocean to benchmark biodiversity change and to identify novel species and their genes. As part of MOSAiC, EcoOmics will therefore be essential for conservation and sustainable bioprospecting in one of the least explored ecosystems on Earth

Atrial fibrillation genetic risk differentiates cardioembolic stroke from other stroke subtypes

AbstractObjectiveWe sought to assess whether genetic risk factors for atrial fibrillation can explain cardioembolic stroke risk.MethodsWe evaluated genetic correlations between a prior genetic study of AF and AF in the presence of cardioembolic stroke using genome-wide genotypes from the Stroke Genetics Network (N = 3,190 AF cases, 3,000 cardioembolic stroke cases, and 28,026 referents). We tested whether a previously-validated AF polygenic risk score (PRS) associated with cardioembolic and other stroke subtypes after accounting for AF clinical risk factors.ResultsWe observed strong correlation between previously reported genetic risk for AF, AF in the presence of stroke, and cardioembolic stroke (Pearson’s r=0.77 and 0.76, respectively, across SNPs with p &lt; 4.4 × 10−4 in the prior AF meta-analysis). An AF PRS, adjusted for clinical AF risk factors, was associated with cardioembolic stroke (odds ratio (OR) per standard deviation (sd) = 1.40, p = 1.45×10−48), explaining ∼20% of the heritable component of cardioembolic stroke risk. The AF PRS was also associated with stroke of undetermined cause (OR per sd = 1.07, p = 0.004), but no other primary stroke subtypes (all p &gt; 0.1).ConclusionsGenetic risk for AF is associated with cardioembolic stroke, independent of clinical risk factors. Studies are warranted to determine whether AF genetic risk can serve as a biomarker for strokes caused by AF.</jats:sec