Anxiety & Stress

Associations of employment status with social media addiction, anxiety, and parenting self-efficacy among mothers of infants: a cross-sectional study using machine learning.

BACKGROUND: Differences in social media addiction, anxiety, and parenting self-efficacy according to maternal employment status have important implications for maternal and child public health. However, evidence comparing these psychosocial outcomes between employed and non-employed mothers of infants remains limited, hindering the development of targeted maternal and child health interventions. T...

A machine learning approach to profiling anxiety risk among cancer patients on treatment.

PURPOSE: Previous literature has identified multiple risk factors for anxiety among individuals with cancer. However, the relative importance across many interrelated variables is not clear. Further, it is unknown how combined psychosocial factors and demographic/clinical characteristics increase an individual's vulnerability to anxiety. The aims of this study are to systematically test the follow...

Protective Effects of p-Coumaric Acid Against Lead-Induced Hepatic Oxidative Stress, Inflammation, and Apoptosis: Integrated Molecular and Machine Learning-Based Analysis.

Lead (Pb) exposure is a major environmental health concern that induces hepatic injury through oxidative stress, inflammation, and apoptosis. This stu...

Development and Clinical Evaluation of a Large Language Model-Based System for Generating Patient-Friendly Echocardiography Reports: Two-Stage Retrospective Validation and Prospective Survey Study.

BACKGROUND: Standard echocardiography reports use complex terminology, limiting patient comprehension and exacerbating preconsultation anxiety. Large ...

A study on the influencing factors of perceived artificial intelligence substitution risk.

Artificial intelligence technologies are rapidly penetrating and reshaping the labor market. As a result, perceived AI substitution risk among workers...

Comprehensive analysis of the association between perfluorooctanoic acid exposure and osteosarcoma progression.

Perfluorooctanoic acid (PFOA), a persistent environmental pollutant, represents a chronic environmental stressor, yet its role in osteosarcoma progres...

Genome-wide characterization highlights the regulatory network rewiring of BTB genes in barley under stress condition.

UNLABELLED: The Bric-a-Brac/Tramtrack/Broad Complex (BTB) gene family plays an important role in plant stress responses, gene regulation, and function...

Complex dynamics in psychological data: Mapping individual symptom trajectories to group-level patterns.

This study integrates causal inference, graph analysis, temporal complexity measures, and machine learning to examine whether individual symptom traje...

Bouncing back from stress: objective markers of expressive flexibility and resilience in emergency healthcare workers using computer vision.

Healthcare workers (HCWs) in emergency departments face significant mental health risk due to chronic stressors and repeated trauma, yet symptom under...

Differentiating Radiotherapy-Specific Distress From General Cancer Distress: Natural Language Processing Analysis of Patient Narratives.

BACKGROUND: Psychological distress is common among patients with cancer, and it negatively impacts treatment adherence and quality of life. Radiothera...

An AI-Assisted pictorial measure of children's dental anxiety during the initial child-dentist interaction.

BACKGROUND: The potential influence of the initial child-dentist interaction on dental anxiety (DA) in preschool children remains insufficiently under...

Predicting comorbid anxiety in adolescents with major depressive disorder: an EEG-based machine learning approach with SHAP interpretability.

Comorbid anxiety in adolescents with major depressive disorder (adMDD) is linked to higher suicide risk and poorer prognosis, necessitating precise sc...

Identification of ITGB2, ELN, and KLRK1 as stress granule-related biomarkers of pterygium through integrated transcriptomic analysis and machine learning.

BACKGROUND: Stress granules (SGs) play a crucial role in cellular stress responses, but their involvement remains unclear in pterygium. This study aim...

"Temporarily Forgetting Stress": Exploring the Multimodal Features and Audience Experience of AI-Generated Psychological Healing Videos.

This study examines the content characteristics, audience interaction, and experience feedback of artificial intelligence (AI)-generated psychological...

Interpretable single-cell machine learning identifies PINK1-centred mitophagy as a determinant of metabolic fitness in type 2 diabetes.

BACKGROUND: Progressive pancreatic β-cell dysfunction constitutes a hallmark of type 2 diabetes (T2D), yet the molecular programmes governing metaboli...

Pharmacologic and expectancy effects in depression: Associations with inter-network resting-state connectivity.

Depression involves dysregulation across large-scale neural networks, yet substantial heterogeneity in resting-state functional connectivity (rsFC) ac...

Machine learning-enabled behavioural and psychological symptoms of dementia management intervention for dementia caregivers: protocol for a hybrid factorial SMART-MRT trial.

BACKGROUND: Behavioural and psychological symptoms of dementia (BPSD) affect over 90% of people living with dementia and are a major contributor to st...

Analysis of health anxiety trajectories in rabies exposure patients based on machine learning.

OBJECTIVE: To identify the dynamic evolution trajectory of health anxiety in patients with initial rabies exposure and to conduct predictive analysis ...

Unifying the hallmarks of major depression through neuroimmune-metabolic-oxidative (NIMETOX) dysregulation: a mechanistic systems framework.

Current state-of-the-art neuroimmune, metabolic, and oxidative stress (NIMETOX) knowledge that has been developed in clinical major depressive disorde...

Integrative multi-omics identifies CYP1B1 as a candidate molecular link between toxicant exposure and ferroptosis-related epithelial stress in COPD.

BACKGROUND: Chronic obstructive pulmonary disease (COPD) is characterized by progressive airflow limitation, chronic airway inflammation, and epitheli...