Behind the Frontlines: Insights for Supporting Mental Health and Staff Retention in the Long-Term Care Workforce.

: Canada's long-term care (LTC) sector is struggling with a significant staffing crisis related to shortages, high-turnover rate, and challenging working conditions. The COVID-19 pandemic exacerbated these issues and emphasized the need for improved mental health support for LTC staff. Understanding and addressing the wellbeing of staff is important for ensuring quality of care and promoting a positive work environment for a healthy workforce.

Translation and Cultural Adaptation of an E-Health Program to Promote Positive Mental Health Among Family Caregivers in Portugal.

Caring for a dependent individual, particularly over an extended period, places significant strain on family caregivers, often leading to adverse physical, mental, emotional, social, and economic outcomes for both caregivers and those they care for. Common challenges include anxiety, depression, loneliness, and diminished overall well-being. E-health applications have emerged as effective tools to support family caregivers by promoting positive mental health through online interventions, enhancing problem-solving skills, autonomy, interpersonal relationships, self-control, and a prosocial attitude.

Inhibiting H3K27 Demethylases Downregulates CREB-CREBBP, Overcoming Resistance in Relapsed Acute Lymphoblastic Leukemia.

Background: CREB binding protein (CREBBP) is a key epigenetic regulator, altered in a fifth of relapsed cases of acute lymphoblastic leukemia (ALL). Selectively targeting epigenetic signaling may be an effective novel therapeutic approach to overcome drug resistance. Anti-tumor effects have previously been demonstrated for GSK-J4, a selective H3K27 histone demethylase inhibitor, in several animal models of cancers.

Social Connections, Leukocyte Telomere Length, and All-Cause Mortality in Older Adults From Costa Rica: The Costa Rican Longevity and Healthy Aging Study (CRELES).

Objectives: To examine the association of social connections with blood leukocyte telomere length (LTL) and all-cause mortality in older Costa Ricans.

Methods: Utilizing data from the Costa Rican Longevity and Healthy Aging Study (CRELES), a prospective cohort of 2827 individuals aged 60 and above followed since 2004, we constructed a Social Network Index (SNI) based on marital status, household size, interaction with non-cohabitating adult children, and church attendance. We used linear regression to assess SNI's association with baseline LTL ( = 1113), and Cox proportional-hazard models to examine SNI's relationship with all-cause mortality ( = 2735).

Impact of a Virtual Care Navigation Service on Member-Reported Outcomes Among Lesbian, Gay, Bisexual, Transgender, and Queer Populations: Case Study.

Background: While the significance of care navigation in facilitating access to health care within the lesbian, gay, bisexual, transgender, queer, and other (LGBTQ+) communities has been acknowledged, there is limited research examining how care navigation influences an individual's ability to understand and access the care they need in real-world settings. By analyzing private sector data, we can bridge the gap between theoretical research findings and practical applications, ultimately informing both business strategies and public policy with evidence grounded in real-world efficacy.

Objective: The objective of this study was to evaluate the impact of specialized virtual care navigation services on LGBTQ+ individuals' ability to comprehend and access necessary care within a national cohort of commercially insured members.

Use of psychedelic treatments in psychiatric clinical practice: an EPA policy paper.

Background: Recent years show an exponential increased interest ("renaissance") in the use of psychedelics for the treatment of mental disorders and broader. Some of these treatments, such as psilocybin for depression, are in the process of formal regulation by regulatory bodies in the US (FDA) and Europe (EMA), and as such on the brink of real-world implementation. In the slipstream of these developments increasing commercial initiatives are taking shape.

Country-specific key lifestyle factors and health outcomes for resource allocation in the general population: a network analysis across 29 countries.

Background: We aimed to identify the central lifestyle, the most impactful among lifestyle factor clusters; the central health outcome, the most impactful among health outcome clusters; and the bridge lifestyle, the most strongly connected to health outcome clusters, across 29 countries to optimise resource allocation for local holistic health improvements.

Methods: From July 2020 to August 2021, we surveyed 16 461 adults across 29 countries who self-reported changes in 18 lifestyle factors and 13 health outcomes due to the pandemic. Three networks were generated by network analysis for each country: lifestyle, health outcome, and bridge networks.

Patterns of Cerebellar-Cortical Structural Covariance Mirror Anatomical Connectivity of Sensorimotor and Cognitive Networks.

The cortex and cerebellum are densely connected through reciprocal input/output projections that form segregated circuits. These circuits are shown to differentially connect anterior lobules of the cerebellum to sensorimotor regions, and lobules Crus I and II to prefrontal regions. This differential connectivity pattern leads to the hypothesis that individual differences in structure should be related, especially for connected regions.

Predicting cognitive decline from neuropsychiatric symptoms and Alzheimer's disease biomarkers: A machine learning approach to a population-based data.

Background: The aim of this study was to examine the potential added value of including neuropsychiatric symptoms (NPS) in machine learning (ML) models, along with demographic features and Alzheimer's disease (AD) biomarkers, to predict decline or non-decline in global and domain-specific cognitive scores among community-dwelling older adults.

Objective: To evaluate the impact of adding NPS to AD biomarkers on ML model accuracy in predicting cognitive decline among older adults.

Methods: The study was conducted in the setting of the Mayo Clinic Study of Aging, including participants aged ≥ 50 years with information on demographics (i.

Australian Naturopaths Approach to the Clinical Management of Patients Presenting with Sleep Disorders.

Naturopathic practitioners consult an estimated 6.2% of Australian adults, equating to 1,550,000 people receiving their care each year. Sleep is now recognized as a key pillar of health; however, nearly half of all Australian adults report inadequate sleep.

Differentiating Cystic Lesions in the Sellar Region of the Brain Using Artificial Intelligence and Machine Learning for Early Diagnosis: A Prospective Review of the Novel Diagnostic Modalities.

This paper investigates the potential of artificial intelligence (AI) and machine learning (ML) to enhance the differentiation of cystic lesions in the sellar region, such as pituitary adenomas, Rathke cleft cysts (RCCs) and craniopharyngiomas (CP), through the use of advanced neuroimaging techniques, particularly magnetic resonance imaging (MRI). The goal is to explore how AI-driven models, including convolutional neural networks (CNNs), deep learning, and ensemble methods, can overcome the limitations of traditional diagnostic approaches, providing more accurate and early differentiation of these lesions. The review incorporates findings from critical studies, such as using the Open Access Series of Imaging Studies (OASIS) dataset (Kaggle, San Francisco, USA) for MRI-based brain research, highlighting the significance of statistical rigor and automated segmentation in developing reliable AI models.

Results from a UK consensus about the optimal prescribing of medium strength triple therapy in uncontrolled adult asthma patients in the NHS.

Context: An inhaled corticosteroid (ICS) in combination with a long-acting β2-agonist (LABA) is a common treatment approach for asthma patients not controlled on ICS alone, but a significant proportion of patients remain uncontrolled on this combination and treatment adherence can also be a challenge. One of the options for adults whose asthma is uncontrolled in an ICS/LABA is the addition of a long-acting muscarinic receptor antagonist (LAMA), an approach commonly referred to as 'triple therapy'. The use of medium-strength ICS/LABA/LAMA is established in treating chronic obstructive pulmonary disease but is less well-established in asthma.

The elderly population's social networks and HIV perceptions: Evidence from China.

Background: Previous studies have found that people with low participation in social activities and living alone were prone to have risky sexual behaviors, while people with high participation in social activities were less prone to have risky sexual behaviors. Based on the above assumptions, we conducted an analysis on elderly population's social networks and human immunodeficiency virus (HIV) risky behaviors in China. In the survey study, considering the sensitivity of sexual behavior, HIV risk behavior of the elderly population is more difficult to measure, so the intermediate variable of HIV perceptions was used instead of the sexual behavioral variable.

A Pilot Randomized Controlled Trial to Examine the Impact of a Therapy Dog Intervention on Loneliness in Hospitalized Older Adults.

Background And Objectives: Loneliness is linked to significant health threats and is potentially more dangerous than obesity; it affects as many as 29% of noninstitutionalized older adults. Loneliness is exacerbated for those who require inpatient rehabilitation, are displaced from their social networks, spend little time receiving therapy, and are physically inactive and socially isolated. Emerging evidence suggests that companion animals provide a number of health and well-being benefits and that interacting with a trained therapy dog may reduce loneliness.

Driving key partner engagement by integrating community-engaged principles into a stakeholder analysis: A qualitative study.

Introduction: The stakeholder analysis approach has historically been top-down rather than collaborative with key partners. However, this approach poses challenges for key partner engagement and community-engaged research, which aims to incorporate key partners throughout the project. This study, conducted by the Community Engagement Network at a Midwest Academic Medical Center, seeks to examine the value of community-engaged research for diverse key partners to increase collaboration, strengthen partnerships, and enhance impact, ultimately driving key partner engagement.

Facilitating multidisciplinary working groups in translational research: Strategies to promote cross-center collaboration and sustain the Cancer Center Cessation Initiative Consortium.

As funding for large translational research consortia increases across the National Institutes of Health (NIH), focused working groups provide an opportunity to leverage the power of unique networks to conduct high-impact science and offer a strategy for building collaborative infrastructure to sustain networks long-term. This sustainment leverages the existing NIH investments, amplifying the impact and creating conditions for future innovative translational research. However, few resources exist that detail practical strategies for establishing and sustaining working groups in consortia.

State of Lung Cancer in Egypt: Moving Towards Improved Guidelines for Prevention, Screening, Treatment, and Clinical Care Programs.

Lung cancer remains a leading cause of cancer-related mortality globally and presents significant challenges in Egypt. In 2023, the first annual meeting of the Thoracic Oncology Multidisciplinary Faculty, organized by the Egyptian Cancer Research Network and the Egyptian Society of Respiratory Neoplasms, was held in Cairo, Egypt. The meeting aimed to address gaps in lung cancer management across Egypt and the broader Middle East and North Africa region.

Factors associated with ABCDEF bundle implementation for critically ill patients: An international cross-sectional survey in 54 countries.

Objectives: This study investigated the implementation of the ABCDEF bundle and the factors associated with its implementation according to national income levels.

Methods: This study is cross-sectional research. We conducted a secondary analysis of an international 1-day point-prevalence study that investigated the implementation of the ABCDEF bundle in critically ill patients.

Twins with at least one with CHD and their immunisation status in direct comparison-are both twins complying with the German immunisation recommendations?

Background: Patients with congenital heart defects (CHDs) are at higher risk for infectious diseases. This may partly be due to frequent hospital stays and the associated exposure to pathogens. This study aims to provide a comprehensive overview of immunisation coverage among twins in which at least one twin has CHD.

Evaluation of myocardial perfusion imaging techniques and artificial intelligence (AI) tools in coronary artery disease (CAD) diagnosis through multi-criteria decision-making method.

Background: Cardiovascular diseases (CVDs) continue to be the world's greatest cause of death. To evaluate heart function and diagnose coronary artery disease (CAD), myocardial perfusion imaging (MPI) has become essential. Artificial intelligence (AI) methods have been incorporated into diagnostic methods such as MPI to improve patient outcomes in recent years.

Inferring structure of cortical neuronal networks from activity data: A statistical physics approach.

Understanding the relation between cortical neuronal network structure and neuronal activity is a fundamental unresolved question in neuroscience, with implications to our understanding of the mechanism by which neuronal networks evolve over time, spontaneously or under stimulation. It requires a method for inferring the structure and composition of a network from neuronal activities. Tracking the evolution of networks and their changing functionality will provide invaluable insight into the occurrence of plasticity and the underlying learning process.

Monitoring SARS-CoV-2 variants with complementary surveillance systems: risk evaluation of the Omicron JN.1 variant in France, August 2023 to January 2024.

BackgroundEarly detection and characterisation of SARS-CoV-2 variants have been and continue to be essential for assessing their public health impact. In August 2023, Santé publique France implemented enhanced surveillance for BA.2.