Vall d’Hebron identifies shared genetic factors between
A study led by the Psychiatry, Mental Health and Addictions group at the Vall d’Hebron Research Institute (VHIR) has identified...
Factors
Prevalence, associated factors, and machine learning-based prediction of probable depression among individuals with chronic diseases in Bangladesh | BMC Psychiatry
World Health Organization (WHO). Noncommunicable diseases. 23 Dec 2024 . Available: https://www.who.int/news-room/fact-sheets/detail/noncommunicable-diseasesWorld Health Organization (WHO). The top 10 causes of...
Prevalence, associated factors, and machine learning-based prediction of depression, anxiety, and stress among university students: a cross-sectional study from Bangladesh | Journal of Health, Population and Nutrition
Mental health is a crucial component of overall well-being, encompassing an individual’s psychological, emotional, and social state. Despite its importance,...
Analysis of factors influencing digital literacy of rural elderly people-evidence from China | BMC Public Health
Sample selectionTo analyze the factors influencing digital literacy among elderly rural residents, it is essential to choose a representative sample...
What factors affect the intention to use information and communication technology? Perspectives of Chinese university students
TTF and UTAUT 2 theoriesThis study applies the Task-Technology Fit (TTF) and Unified Theory of Acceptance and Use of Technology...
Predicting cognitive frailty in community-dwelling older adults: a machine learning approach based on multidomain risk factors
We found significant associations between CF and older age, female sex, lower education level, certain clinical characteristics (i.e., peripheral vascular...
