"I'm not sad anymore, I'm proud to have such a child": The experiences of caregivers of dependents with cerebral palsy living in Greece.

Background: People with cerebral palsy are largely dependent on their caregivers, who are most often members of their family. Caring for people with disabilities can be challenging as both dependents and caregivers face problems of social isolation and stigmatization.

Aim: The aim of this study was to understand the experiences of caregivers of dependents with cerebral palsy in Greece.

Surgical treatment of keratinocyte carcinoma in Danish hospitals 2007-2021: Time trends and impact of patient and tumor characteristics on treatment choices.

The incidence of keratinocyte carcinoma (KC) is rising globally, significantly burdening healthcare resources. Treatment options include medical treatment, non-invasive procedures, and surgery, each associated with their distinct benefits and risks. With advanced treatment, the procedures become increasingly invasive for the patients and expensive for the society.

Application value of split-bolus contrast injection combined with dual-energy CT scanning technology in pediatric CTU imaging.

Objective: To explore the clinical value of combining split-bolus contrast injection with dual-energy CT(DECT) scanning technology in pediatric computed tomography urography (CTU) imaging.

Methods: A total of 128 children aged 0-17 years were prospectively selected and randomly assigned to three groups: A, B, and C. For Group A, a high-pitch flash mode was employed, where a single bolus of contrast agent was followed by four-phase scanning (noncontrast, cortex, medulla, and excretory phases).

Explainable machine learning model for assessing health status in patients with comorbid coronary heart disease and depression: Development and validation study.

Background: Coronary heart disease (CHD) and depression frequently co-occur, significantly impacting patient outcomes. However, comprehensive health status assessment tools for this complex population are lacking. This study aimed to develop and validate an explainable machine learning model to evaluate overall health status in patients with comorbid CHD and depression.

A Comprehensive Understanding of Tea Metabolome: From Tea Plants to Processed Teas.

Tea () is one of the most popular nonalcoholic beverages in the world, second only to water. Six main types of teas are produced globally: green, white, black, oolong, yellow, and Pu-erh. Each type has a distinctive taste, quality, and cultural significance.

Emerging Technologies for Multiphoton Writing and Reading of Polymeric Architectures for Biomedical Applications.

The rise in popularity of two-photon polymerization (TPP) as an additive manufacturing technique has impacted many areas of science and engineering, particularly those related to biomedical applications. Compared with other fabrication methods used for biomedical applications, TPP offers 3D, nanometer-scale fabrication dexterity (free-form). Moreover, the existence of turnkey commercial systems has increased accessibility.

Designer Organs: Ethical Genetic Modifications in the Era of Machine Perfusion.

Gene therapy is a rapidly developing field, finally yielding clinical benefits. Genetic engineering of organs for transplantation may soon be an option, thanks to convergence with another breakthrough technology, ex vivo machine perfusion (EVMP). EVMP allows access to the functioning organ for genetic manipulation prior to transplant.

Single-Session Interventions for Mental Health Problems and Service Engagement: Umbrella Review of Systematic Reviews and Meta-Analyses.

Most people with mental health needs cannot access treatment; among those who do, many access services only once. Accordingly, single-session interventions (SSIs) may help bridge the treatment gap. We conducted the first umbrella review synthesizing research on SSIs for mental health problems and service engagement in youth and adults.

Web Visualization for Spatiotemporal Genomic Epidemiology, Annotation, and Mutation Dynamics of Orthohantavirus hantanense Using Nextstrain.

The phylogeographic inference approach aims to connect genomic data with epidemiology to understand the spread and evolution of pathogens using visualization of spatiotemporal reconstructions. Orthohantavirus hantanense (HTNV), the causative agent of hemorrhagic fever with renal syndrome (HFRS), represents a significant global public health concern. Here, we introduce a localized Nextstrain platform for HTNV, offering a comprehensive resource for facilitating spatiotemporal genomic surveillance and the study of evolutionary dynamics of viral genomes.

Epidemiologic Investigation of Protozoa and Soil-Transmitted Helminths in Starr County, Texas.

The burden of pathogenic enteric protozoa and soil-transmitted helminths among impoverished populations living on the Texas-Mexico border is unclear. We conducted a cross-sectional study on an ongoing longitudinal cohort of 616 adults residing in Starr County, Texas. A total of 359 adults were screened for four protozoa and five soil-transmitted helminths by using real-time polymerase chain reaction.

Influence of Enterocytozoon bieneusi Infection on Child Growth: A Secondary Analysis of the MAL-ED Birth Cohort Study.

Malnutrition in the early days of life is a global public health concern that affects children's growth. It results from a variety of factors, including pathogenic infections. Enterocytozoon bieneusi is a microsporidian parasite that can cause diarrhea and malnutrition in children.

Evaluation of Multipeptide Sequences Identified in Silico for the Serological Detection of Antibodies against Vector-Borne Diseases.

The socioecological conditions of Mexican regions are conducive to the spread of vector-borne diseases. Although there are established treatment guidelines for dengue and rickettsiosis, diagnosis is complicated. The objective of this work was to identify epitopes of Rickettsia and dengue virus that could be used in serology screening against vector-borne diseases.

Health-related quality of life across menopausal stages among middle-aged Korean women.

Objectives: We examined the health-related quality of life (HRQoL) during menopause transition (MT) among middle-aged Korean women.

Methods: This cross-sectional study comprised 2,290 middle-aged women who completed web-based questionnaires between 2020 and 2022. Based on self-reported menstrual cycle patterns, menopause status was classified as premenopausal, early or late transition, or postmenopausal.

An exploratory survey assessing the determinants of heat stress and heat strain in the Canadian mining industry from the worker's perspective.

With mines extending deeper and rising surface temperatures, workers are exposed to hotter environments. This study aimed to characterize heat stress and strain in the Canadian mining industry and evaluate the utility of the Heat Strain Score Index (HSSI), combined with additional self-reported adverse health outcomes. An exploratory web-based survey was conducted among workers ( = 119) in the Canadian mining industry.

Cystine-Modified Lignin-Copper Coordination Nanocarriers Improve the Therapeutic Efficacy of Tyrosine Kinase Inhibition via Cuproptosis.

The clinical application of tyrosine kinase inhibitors (TKIs) is rapidly growing and has emerged as a cornerstone in the treatment of both solid tumors and hematologic malignancies. However, resistance to TKI targets and disease progression remain inevitable. Nanocarrier-mediated delivery has emerged as a promising strategy to overcome the limitations of the TKI application.

Multiplex Detection and Quantification of Virus Co-Infections Using Label-free Surface-Enhanced Raman Spectroscopy and Deep Learning Algorithms.

Multiple respiratory viruses can concurrently or sequentially infect the respiratory tract, making their identification crucial for diagnosis, treatment, and disease management. We present a label-free diagnostic platform integrating surface-enhanced Raman scattering (SERS) with deep learning for rapid, quantitative detection of respiratory virus coinfections. Using sensitive silica-coated silver nanorod array substrates, over 1.

The dose-response relationship between noise-induced hearing loss and cumulative noise exposure adjusted by the effect of hearing protection devices among workers in Southern China.

The noise exposure levels of workers wearing hearing protective devices (HPDs) depend on ambient noise and the protective effect of hearing protectors. This cross-sectional study aimed to adjust for cumulative noise exposure (CNE) based on the effective protection of hearing protection devices and explore the dose-response relationship between noise-induced hearing loss (NIHL) and adjusted cumulative noise exposure. A questionnaire was used to acquire the basic characteristics and occupational information of noise-exposed workers.

Long-Term Impact of Using Mobile Phones and Playing Computer Games on the Brain Structure and the Risk of Neurodegenerative Diseases: Large Population-Based Study.

Background: Despite the increasing popularity of electronic devices, the longitudinal effects of daily prolonged electronic device usage on brain health and the aging process remain unclear.

Objective: The aim of this study was to investigate the impact of the daily use of mobile phones/computers on the brain structure and the risk of neurodegenerative diseases.

Methods: We used data from the UK Biobank, a longitudinal population-based cohort study, to analyze the impact of mobile phone use duration, weekly usage time, and playing computer games on the future brain structure and the future risk of various neurodegenerative diseases, including all-cause dementia (ACD), Alzheimer disease (AD), vascular dementia (VD), all-cause parkinsonism (ACP), and Parkinson disease (PD).

Self-Management Strategies for Low Back Pain Among Horticulture Workers: Protocol for a Type II Hybrid Effectiveness-Implementation Study.

Background: Low back pain (LBP) is highly prevalent and disabling, especially in agriculture sectors. However, there is a gap in LBP prevention and intervention studies in these physically demanding occupations, and to date, no studies have focused on horticulture workers. Given the challenges of implementing interventions for those working in small businesses, self-management offers an attractive and feasible option to address work-related risk factors and manage LBP.

Digital Home-Based Self-Monitoring System for People with Heart Failure: Protocol for Development of SmartHeart and Evaluation of Feasibility and Acceptability.

Background: Heart failure (HF) is a chronic, progressive condition where the heart cannot pump enough blood to meet the body's needs. In addition to the daily challenges that HF poses, acute exacerbations can lead to costly hospitalizations and increased mortality. High health care costs and the burden of HF have led to the emerging application of new technologies to support people living with HF to stay well while living in the community.

User and Developer Views on Using AI Technologies to Facilitate the Early Detection of Skin Cancers in Primary Care Settings: Qualitative Semistructured Interview Study.

Background: Skin cancers, including melanoma and keratinocyte cancers, are among the most common cancers worldwide, and their incidence is rising in most populations. Earlier detection of skin cancer leads to better outcomes for patients. Artificial intelligence (AI) technologies have been applied to skin cancer diagnosis, but many technologies lack clinical evidence and/or the appropriate regulatory approvals.

Mindfulness Intervention for Health Information Avoidance in Older Adults: Mixed Methods Study.

Background: The global aging population and rapid development of digital technology have made health management among older adults an urgent public health issue. The complexity of online health information often leads to psychological challenges, such as cyberchondria, exacerbating health information avoidance behaviors. These behaviors hinder effective health management; yet, little research examines their mechanisms or intervention strategies.

Feasibility of a Mobile App-Based Cognitive-Behavioral Perinatal Skills Program: Protocol for Nonrandomized Pilot Trial.

Background: Mental illness is one of the top causes of preventable pregnancy-related deaths in the United States. There are many barriers that interfere with the ability of perinatal individuals to access traditional mental health care. Digital health interventions, including app-based programs, have the potential to increase access to useful tools for these individuals.

Health and Experiences During the COVID-19 Pandemic Among Children and Young People: Analysis of Free-Text Responses From the Children and Young People With Long COVID Study.

Background: The literature is equivocal as to whether the predicted negative mental health impact of the COVID-19 pandemic came to fruition. Some quantitative studies report increased emotional problems and depression; others report improved mental health and well-being. Qualitative explorations reveal heterogeneity, with themes ranging from feelings of loss to growth and development.

Engagement With an Internet-Administered, Guided, Low-Intensity Cognitive Behavioral Therapy Intervention for Parents of Children Treated for Cancer: Analysis of Log-Data From the ENGAGE Feasibility Trial.

Background: Parents of children treated for cancer may experience psychological difficulties including depression, anxiety, and posttraumatic stress. Digital interventions, such as internet-administered cognitive behavioral therapy, offer an accessible and flexible means to support parents. However, engagement with and adherence to digital interventions remain a significant challenge, potentially limiting efficacy.