A systematic realist synthesis of digital interventions for enhancing mental health at work: contexts, mechanisms, and outcomes.

Background: Digital interventions (DIs) have emerged as promising tools for promoting mental health in the workplace. However, evidence on if, how, and under what circumstances they affect positive outcomes requires elucidation. This systematic realist review aimed to synthesize current knowledge on contexts, mechanisms, and outcomes of workplace DIs to enhance mental health at work.

Integrating portfolio and mentorship in competency-based medical education: a Middle East experience.

Within the context of competency-based medical education, portfolios and mentorship emerge as complementary interventions, each offering distinct perspectives and benefits. Together, these elements synergistically contribute to a holistic and effective approach to medical education, encompassing both the academic and personal development imperatives of students. However, this integration comes with several implementation challenges that must be anticipated and promptly addressed.

Early childhood caries risk prediction using machine learning approaches in Bangladesh.

Background: In the last years, artificial intelligence (AI) has contributed to improving healthcare including dentistry. The objective of this study was to develop a machine learning (ML) model for early childhood caries (ECC) prediction by identifying crucial health behaviours within mother-child pairs.

Methods: For the analysis, we utilized a representative sample of 724 mothers with children under six years in Bangladesh.

Gender differences in acute and perceived stress, bullying, and academic motivation among nursing and midwifery students.

Background: College-aged students are at risk for experiencing negative events that may influence their future health and life. Those negative events or stressors may vary in type and severity. Stress and bullying are prevalent among nursing students that may affect their academic motivation.

Fertigation with alpha-tocopherol enhances morphological, physiological, and antioxidant responses in radish (Raphanus sativus L.) under drought stress.

Water scarcity is a foremost environmental concern and is expected to hasten in the forthcoming years due to severe fluctuations in weather patterns worldwide. The present work was designed to explore the potential role of alpha-tocopherol (α-Toc), a form of vitamin E, on the morphological, physio-biochemical, and cellular antioxidant responses of two radish genotypes grown under drought conditions (38 ± 3% of field capacity). The individual and combined applications of α-Toc (100 ppm) were used as T0- Control, T1- Control + TF (TF-alpha-tocopherol), T2- Drought (D), and T3- D + TF with three replications.

Development and validation of a five-year cardiovascular risk assessment tool for Asian adults aged 75 years and older.

Background: To identify cardiovascular (CV) risk factors in Asian elderly aged 75 years and older and subsequently develop and validate a sex-specific five-year CV risk assessment tool for this population.

Methods: This study included 12,174 patients aged ≥ 75 years without a prior history of cardiovascular disease at a single hospital in Taiwan. Electronic health records were linked to the National Health Insurance Research Database and the National Death Registry to ensure comprehensive health information.

Left ventricular hypertrophy in young hypertensives: the possible crosstalk of mTOR and angiotensin-II -a case-control study.

Background: Hypertension is a major cause of cardiac dysfunction. The earliest manifestation is left ventricular remodeling/hypertrophy. The occurrence of adverse cardiac remodeling and outcomes occurs irrespective of age in blacks.

Association of systemic immune-inflammation index with all-cause and cardiovascular mortality among adults with depression: evidence from NHANES 2005-2018.

Background: The relationship between the systemic immune-inflammatory index (SII) and the mortality of adults with depression is uncertain.

Methods: This study included adults with depression who were surveyed in the National Health and Nutrition Examination Survey (NHANES) from 2005 to 2018. Cox proportional hazards regression models to compute hazard ratios (HR) and 95% confidence intervals (CI) for mortality.

The epidemiology of substance use disorders in Saudi Arabia: findings from the Saudi national mental health survey.

Background: Substance use disorders (SUDs), encompassing alcohol (AUDs) and drug use disorders (DUDs), are significant global public health concerns. While SUDs are well-documented worldwide, data on their prevalence and impact in Saudi Arabia remain scarce. This study investigates the epidemiology and burden of SUDs in Saudi Arabia using data from the Saudi National Mental Health Survey (SNMHS).

Exploring the experiences of women and people with diabetes in pregnancy in metropolitan and rural Australia: a national survey.

Background: Women and people diagnosed with diabetes in pregnancy, are recommended to have frequent monitoring and careful management for optimal pregnancy outcomes. This health care management should be supported by a multidisciplinary healthcare team. For individuals living in rural areas, there are increased barriers to healthcare access, with subsequent worse health outcomes compared to those in metropolitan regions.

Effective BCDNet-based breast cancer classification model using hybrid deep learning with VGG16-based optimal feature extraction.

Problem: Breast cancer is a leading cause of death among women, and early detection is crucial for improving survival rates. The manual breast cancer diagnosis utilizes more time and is subjective. Also, the previous CAD models mostly depend on manmade visual details that are complex to generalize across ultrasound images utilizing distinct techniques.

Global Prevalence of Mental Health Problems Among Cancer Survivors: A Meta-Analysis From 31 Countries.

Background: With the improvement of medical treatment, the survival rate of cancer patients continues to rise; however, their psychological issues require further management. Currently, there is uncertainty regarding the prevalence of mental health problems among cancer survivors.

Objective: To quantitatively summarize the global prevalence of mental health problems in cancer survivors.

Variation of the Risk Associated With Potentially Modifiable Risk Factors for Dementia Between Ethnic Groups Within One Country. A Retrospective Cohort Study Using Routinely Collected Health Data in Aotearoa New Zealand.

Introduction: While risk factor prevalence of individual risk factors for dementia varies between ethnic groups in New Zealand (NZ), it is not known whether the effect of these risks is the same in each group.

Methods: This retrospective cohort study identified incident cases of dementia. Cox regression models calculated the hazard ratio for dementia for each of the risk factors, after adjustment for age and sex.

Chitosan/Alginate-Based Hydrogel Loaded With VE-Cadherin/FGF as Scaffolds for Wound Repair in Different Degrees of Skin Burns.

Burns are complex traumatic injuries that lead to severe physical and psychological problems due to the prolonged healing period and resulting physical scars. Owing to their versatility, hydrogels can be loaded with various functional factors, making them promising wound dressings. However, many hydrogel dressings cannot support cell survival for a long time, thereby delaying the process of tissue repair.

Telomere-to-telomere sheep genome assembly identifies variants associated with wool fineness.

Ongoing efforts to improve sheep reference genome assemblies still leave many gaps and incomplete regions, resulting in a few common failures and errors in genomic studies. Here, we report a 2.85-Gb gap-free telomere-to-telomere genome of a ram (T2T-sheep1.

Clustering-based binary Grey Wolf Optimisation model with 6LDCNNet for prediction of heart disease using patient data.

In recent years, the healthcare data system has expanded rapidly, allowing for the identification of important health trends and facilitating targeted preventative care. Heart disease remains a leading cause of death in developed countries, often leading to consequential outcomes such as dementia, which can be mitigated through early detection and treatment of cardiovascular issues. Continued research into preventing strokes and heart attacks is crucial.

The gut-brain axis underlying hepatic encephalopathy in liver cirrhosis.

Up to 50-70% of patients with liver cirrhosis develop hepatic encephalopathy (HE), which is closely related to gut microbiota dysbiosis, with an unclear mechanism. Here, by constructing gut-brain modules to assess bacterial neurotoxins from metagenomic datasets, we found that phenylalanine decarboxylase (PDC) genes, mainly from Ruminococcus gnavus, increased approximately tenfold in patients with cirrhosis and higher in patients with HE. Cirrhotic, not healthy, mice colonized with R.

Groundwater nitrate response to hydrogeological conditions and socioeconomic load in an agriculture dominated area.

Nitrate pollution is widespread environmental concern in most shallow groundwater systems. This study conducts a comprehensive investigation of shallow groundwater, deep groundwater, and surface water in a region of the Chinese Loess Plateau. Nitrate pollution in this area is severe with more than half of the shallow groundwater samples exceeding the limit of nitrate for drinking water (50 mg/L).

Experimental investigation into the Impact of Cyclic High Low Pressure Water Immersion on the Pore structure and Mechanical properties of coal.

The extraction of coal seams with high gas content and low permeability presents significant challenges, particularly due to the extended period required for gas extraction to meet safety standards and the inherently low extraction efficiency. Hydraulic fracturing technology, widely employed in the permeability enhancement of soft and low-permeability coal seams, serves as a key intervention. This study focuses on the high-rank raw coal from the No.

Optimizing concrete sustainability with bagasse ash and stone dust and its impact on mechanical properties and durability.

Addressing environmental challenges such as pollution and resource depletion requires innovative industrial and municipal waste management approaches. Cement production, a significant contributor to greenhouse gas emissions, highlights the need for eco-friendly building materials to combat global warming and promote sustainability. This study evaluates the simultaneous use of Sugarcane Bagasse Ash (SCBA) and Stone Dust (SD) as partial replacements by volume for cement and sand, respectively, at varying ratios in eco-strength concrete mixes designed for 28 MPa (ES-28) and 34 MPa (ES-34), emphasizing their economic and environmental benefits.

Boosting skin cancer diagnosis accuracy with ensemble approach.

Skin cancer is common and deadly, hence a correct diagnosis at an early age is essential. Effective therapy depends on precise classification of the several skin cancer forms, each with special traits. Because dermoscopy and other sophisticated imaging methods produce detailed lesion images, early detection has been enhanced.