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Identifying Preferred Features of Influenza Vaccination Programs Among Chinese Clinicians Practicing Traditional Chinese Medicine and Western Medicine: Discrete Choice Experiment.
JMIR Public Health Surveill
January 2025
Institute of Infectious Disease and Vaccine, School of Public Health, Zhejiang Chinese Medical University, Hangzhou, China.
Background: Achieving high vaccine coverage among clinicians is crucial to curb the spread of influenza. Traditional Chinese medicine (TCM), rooted in cultural symbols and concepts without direct parallels in modern Western medicine, may influence perspectives on vaccination. Therefore, understanding the preferences of TCM clinicians towards influenza vaccines is of great importance.
View Article and Find Full Text PDFEpidemiology and Management of Actinic Keratosis in France: A General Population Survey (REAKT).
Acta Derm Venereol
January 2025
Department of Dermatology, Saint-André Hospital, Bordeaux University Hospital, Bordeaux, France.
The objective of this retrospective observational study was to estimate the prevalence of actinic keratosis (AK) in individuals aged ≥ 40 years in France, to describe the characteristics of affected patients, and to describe treatments. A representative panel of 20,000 households with ≥ 1 member aged ≥ 40 years were invited to participate. Participants who reported AK lesions diagnosed by a physician were eligible.
View Article and Find Full Text PDFEfficient diagnosis of diabetes mellitus using an improved ensemble method.
Sci Rep
January 2025
Faculty of Engineering, Université de Moncton, Moncton, NB, E1A3E9, Canada.
Diabetes is a growing health concern in developing countries, causing considerable mortality rates. While machine learning (ML) approaches have been widely used to improve early detection and treatment, several studies have shown low classification accuracies due to overfitting, underfitting, and data noise. This research employs parallel and sequential ensemble ML approaches paired with feature selection techniques to boost classification accuracy.
View Article and Find Full Text PDFCoping after the COVID-19 pandemic: nurses' learning intent and implications for the workforce and education.
Br J Nurs
January 2025
Professor, Department of Nursing, Beaver College of Health Sciences, Appalachian State University, Boone, North Carolina, USA.
Background/aim: Addressing the critical global shortage of nurses requires an understanding of how a global pandemic reshaped nurses' motivations and intentions toward education. This study aimed to describe COVID-19's impact on nurses' intent to pursue additional education.
Method: This descriptive study, based in North Carolina in the USA, used content analysis with an inductive approach to examine the responses of nurses to one open-ended question in a large quantitative workforce survey: how has COVID-19 influenced your plans for future education? Responses were coded with counts and organised into themes and subthemes.
The Impact of Social Media on Eating Disorder Risk and Self-Esteem Among Adolescents and Young Adults: A Psychosocial Analysis in Individuals Aged 16-25.
Nutrients
January 2025
Department of Health Promotion, Faculty of Public Health in Bytom, Medical University of Silesia in Katowice, ul. Piekarska 18, 41-902 Bytom, Poland.
Background/objectives: Eating disorders (EDs) result from complex interactions of biological, psychological, social, and cultural factors, disproportionately affecting adolescents and young adults. Social media, peer pressure, and self-esteem issues contribute to ED prevalence. This study examines ED risk, eating behaviors, and self-esteem among individuals aged 16-25, exploring differences by gender, age, and social media usage.
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