Wellness in the Helping Professions: Historical Overview, Wellness Models, and Current Trends

Introduction Wellness and the concept of holism have rich histories throughout the helping professions. However, Westernized medical models often promote the concept of treatment rather than prevention, limiting the helper’s ability to focus on wellness when working with clients/patients. Therefore, in order to support a re-integration to holistic wellness and the prevention of illness, and re-focus on a wellness ideology, we conducted a thorough theoretical overview of wellness in the helping professions to: (a) provide a historical overview of wellness in helping professions, (b) discuss prominent wellness models, (c) review wellness assessments, (d) present wellness supervision models, and (e) offer implications for helping professionals, helping educators, and helping-professionals-in-training (HPITs) who would like to implement or re-integrate wellness techniques across occupational and personal realms. Discussion The history of healthcare is rich with wellness undertones and holistic foundations for practice. However, the helping professions have been shifting away from traditional wellness ideologies with the emphasis on current healthcare trends and the philosophical struggle of balancing both wellness tenets and a popular medical model for practice. Following a thorough discussion of historical implications of wellness, wellness models, wellness assessments, and wellness supervision, implications for a re-integration of a wellness ideology are highlighted for (a) helping professionals, (b) healthcare educators, and (c) HPITs. In regard to practicing healthcare providers, helping professionals are only as helpful as they are well. We suggest that helping professionals refocus their practice to include wellness and integrate such practices into their daily routine to combat compassion fatigue and/or burnout (which are common occurrences among helpers). Wellness practices may include meditation; breathing exercises; reflection; journaling; and other avenues to reflect, respond, and re-center throughout the day to remain within their own window of tolerance, reducing potential for burnout. Helping professional educators, on the other hand, are tasked with training the next wave of helpers. As such, they are responsible for assessing personal levels of wellness in order to ensure they are modeling wellness-behaviors for their HPITs. Regarding healthcare training programs and curriculums, administrators may introduce wellness courses or infuse wellness throughout the life of the program/training experience so HPITs are learning about wellness education and how to implement it across diverse situations. Furthermore, consistent wellness infusion in curricula could promote wellness behaviors and practices beyond the training experience. Finally, HPITs (similar to practicing professionals and healthcare educators) are not insulated from the effects of unwellness. As such, HPITs are encouraged during their clinical experiences to assess their own wellness and partake in activities to increase their wellness awareness. HPITs can formally (see the section on wellness assessments) or informally assess (refer to the wellness models section) their current levels of functioning and learn of potential wellness discrepancies early on in their careers, which in turn can help mitigate negative effects of being a helper in the future. Conclusion With the influence of Westernized viewpoints and a medical model symptom-reduction focus, a re-orientation to wellness could benefit helpers. Furthermore, as helpers continue to face heavy caseloads, high stress environments, and increased propensity for burnout and related issues, increasing wellness and wellness awareness can serve as a protective factor against the deleterious effects of helping for both helpers and the individuals they serve. By reviewing the literature on wellness (e.g., models, assessments, supervision) in the helping professions and applying wellness perspectives in personal and professional endeavors, helping can once again be at the fore-front of wellness-based treatment, training, and living

An oligofluorene truxene based distributed feedback laser for biosensing applications

The first example of an all-organic oligofluorene truxene based distributed feedback laser for the detection of a specific protein–small molecule interaction is reported. The protein avidin was detected down to View the MathML source1μgmL−1 using our biotin-labelled biosensor platform. This interaction was both selective and reversible when biotin was replaced with desthiobiotin. Avidin detection was not perturbed by Bovine Serum Albumin up to View the MathML source50,000μgmL−1. Our biosensor offers a new detection platform that is both highly sensitive, modular and potentially re-usable

Fourier Magnetic Imaging with Nanoscale Resolution and Compressed Sensing Speed-up using Electronic Spins in Diamond

Optically-detected magnetic resonance using Nitrogen Vacancy (NV) color centres in diamond is a leading modality for nanoscale magnetic field imaging, as it provides single electron spin sensitivity, three-dimensional resolution better than 1 nm, and applicability to a wide range of physical and biological samples under ambient conditions. To date, however, NV-diamond magnetic imaging has been performed using real space techniques, which are either limited by optical diffraction to 250 nm resolution or require slow, point-by-point scanning for nanoscale resolution, e.g., using an atomic force microscope, magnetic tip, or super-resolution optical imaging. Here we introduce an alternative technique of Fourier magnetic imaging using NV-diamond. In analogy with conventional magnetic resonance imaging (MRI), we employ pulsed magnetic field gradients to phase-encode spatial information on NV electronic spins in wavenumber or k-space followed by a fast Fourier transform to yield real-space images with nanoscale resolution, wide field-of-view (FOV), and compressed sensing speed-up.Comment: 31 pages, 10 figure

12-Lipoxygenase Inhibitor Improves Functions of Cytokine-Treated Human Islets and Type 2 Diabetic Islets

Context: The 12-lipoxygenase (12-LO) pathway produces proinflammatory metabolites, and its activation is implicated in islet inflammation associated with type 1 and type 2 diabetes (T2D). Objectives: We aimed to test the efficacy of ML355, a highly selective, small molecule inhibitor of 12-LO, for the preservation of islet function. Design: Human islets from nondiabetic donors were incubated with a mixture of tumor necrosis factor α , interluekin-1β, and interferon-γ to model islet inflammation. Cytokine-treated islets and human islets from T2D donors were incubated in the presence and absence of ML355. Setting: In vitro study. Participants: Human islets from organ donors aged >20 years of both sexes and any race were used. T2D status was defined from either medical history or most recent hemoglobin A1c value >6.5%. Intervention: Glucose stimulation. Main Outcome Measures: Static and dynamic insulin secretion and oxygen consumption rate (OCR). Results: ML355 prevented the reduction of insulin secretion and OCR in cytokine-treated human islets and improved both parameters in human islets from T2D donors. Conclusions: ML355 was efficacious in improving human islet function after cytokine treatment and in T2D islets in vitro. The study suggests that the blockade of the 12-LO pathway may serve as a target for both form of diabetes and provides the basis for further study of this small molecule inhibitor in vivo

Cumulative impact assessments of multiple host species loss from plant diseases show disproportionate reductions in associated biodiversity

Funding Information: This work was funded by BBSRC grant Protecting Oak Ecosystems (PuRpOsE): BB/N022831/1 with additional funding from the Scottish Government's Rural and Environment Research and Analysis Directorate 2016–2021 strategic research programme. The authors thank Nick Hodgetts for collating the lists of the bryophyte species associated with ash and oak, Ralph Harmer for conducting some of the site visits and the site owners for allowing us access to the sites. Katharine Preedy provided statistical advice. Steve Albon and Robin Pakeman kindly provided comments to improve earlier drafts.Peer reviewe

A member of the TERMINAL FLOWER1/CENTRORADIALIS gene family controls sprout growth in potato tubers

Potato tuber bud dormancy break followed by premature sprouting is a major commercial problem which results in quality losses and decreased tuber marketability. An approach to controlling premature tuber sprouting is to develop potato cultivars with a longer dormancy period and/or reduced rate of sprout growth. Our recent studies using a potato diploid population have identified several quantitative trait loci (QTLs) that are associated with tuber sprout growth. In the current study, we aim to characterize a candidate gene associated with one of the largest effect QTLs for rapid tuber sprout growth on potato chromosome 3. Underlying this QTL is a gene encoding a TERMINAL FLOWER 1/CENTRORADIALIS homologue (PGSC0003DMG400014322). Here, we use a transgenic approach to manipulate the expression level of the CEN family member in a potato tetraploid genotype (cv. Désirée). We demonstrate a clear effect of manipulation of StCEN expression, with decreased expression levels associated with an increased rate of sprout growth, and overexpressing lines showing a lower rate of sprout growth than controls. Associated with different levels of StCEN expression were different levels of abscisic acid and cytokinins, implying a role in controlling the levels of plant growth regulators in the apical meristem

A Monte Carlo Approach to Evolution of the Far-Infrared Luminosity Function with BLAST

We constrain the evolution of the rest-frame far-infrared (FIR) luminosity function out to high redshift, by combining several pieces of complementary information provided by the deep Balloon-borne Large-Aperture Submillimeter Telescope surveys at 250, 350 and 500 micron, as well as other FIR and millimetre data. Unlike most other phenomenological models, we characterise the uncertainties in our fitted parameters using Monte Carlo Markov Chains. We use a bivariate local luminosity function that depends only on FIR luminosity and 60-to-100 micron colour, along with a single library of galaxy spectral energy distributions indexed by colour, and apply simple luminosity and density evolution. We use the surface density of sources, Cosmic Infrared Background (CIB) measurements and redshift distributions of bright sources, for which identifications have been made, to constrain this model. The precise evolution of the FIR luminosity function across this crucial range has eluded studies at longer wavelengths (e.g., using SCUBA and MAMBO) and at shorter wavelengths (e.g., Spitzer), and should provide a key piece of information required for the study of galaxy evolution. Our adoption of Monte Carlo methods enables us not only to find the best-fit evolution model, but also to explore correlations between the fitted parameters. Our model-fitting approach allows us to focus on sources of tension coming from the combination of data-sets. We specifically find that our choice of parameterisation has difficulty fitting the combination of CIB measurements and redshift distribution of sources near 1 mm. Existing and future data sets will be able to dramatically improve the fits, as well as break strong degeneracies among the models. [abridged]Comment: 20 pages, 14 figures, accepted to MNRA