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Psychosocial risks and mental health of preschool care providers in Kuala Lumpur, Malaysia: a cross-sectional study.
BMC Psychol
January 2025
Health Department of Kuala Lumpur and Putrajaya, Health office of Lembah Pantai District, Ministry of Health, Kuala Lumpur, Malaysia.
Background: Child maltreatment in daycare is a public health issue. As childcare is stressful, high care provider negativity independently predicts more internalizing behaviour problems, affecting children's psycho-neurological development. This study aimed to determine psychosocial factors associated with the mental health of preschool care providers in Kuala Lumpur.
View Article and Find Full Text PDFPrediction of urinary tract infection using machine learning methods: a study for finding the most-informative variables.
BMC Med Inform Decis Mak
January 2025
Department of Pediatrics, School of Medicine, Ekbatan Hospital, Hamadan University of Medical Sciences, Hamadan, Iran.
Background: Urinary tract infection (UTI) is a frequent health-threatening condition. Early reliable diagnosis of UTI helps to prevent misuse or overuse of antibiotics and hence prevent antibiotic resistance. The gold standard for UTI diagnosis is urine culture which is a time-consuming and also an error prone method.
View Article and Find Full Text PDFCK19 protein expression: the best cutoff value on the prognosis and the prognosis model of hepatocellular carcinoma.
BMC Cancer
January 2025
Department of Hepatobiliary Surgery, Guangxi Medical University Cancer Hospital, Nanning, Guangxi Province, 530021, China.
Background And Objective: In clinical practice, CK19 can be an important predictor for the prognosis of HCC. Due to the high incidence and mortality rates of HCC, more effective and practical prognostic prediction models need to be developed urgently.
Methods: A total of 1,168 HCC patients, who underwent radical surgery at the Guangxi Medical University Cancer Hospital, between January 2014 and July 2019, were recruited, and their clinicopathological data were collected.
Development of Bayesian segmented Poisson regression model to forecast COVID-19 dynamics based on wastewater data: a case study in Nanning City, China.
BMC Public Health
January 2025
Department of Infectious Diseases, Nanning Center for Disease Control and Prevention, Nanning, 530023, China.
Introduction: COVID-19 has caused tremendous hardships and challenges around the globe. Due to the prevalence of asymptomatic and pre-symptomatic carriers, relying solely on disease testing to screen for infections is not entirely reliable, which may affect the accuracy of predictions about the pandemic trends. This study is dedicated to developing a predictive model aimed at estimating of the dynamics of COVID-19 at an early stage based on wastewater data, to assist in establishing an effective early warning system for disease control.
View Article and Find Full Text PDFDeciphering the psychological tapestry of FGIDs: unveiling the impact of negative affect, rumination, and expression suppression.
BMC Public Health
January 2025
School of Psychology, Guizhou Normal University, Guizhou, China.
Background: Functional Gastrointestinal Disorders (FGIDs) constitute a group of psychosomatic diseases characterized primarily by disruptions in the functioning of the digestive system, profoundly impacting the lives of affected individuals.
Objective: This study aims to investigate the influence of negative affect (NA) on the gastrointestinal symptoms of FGID patients, as well as the mediating role of rumination and the regulatory effects of expression suppression (ES) as an emotional regulation strategy.
Methods: A survey was conducted on 1000 patients (403M, 597F) with gastrointestinal disorders at a tertiary hospital using the negative affect subscale from the DS-14 (Type D Personality Scale), the Gastrointestinal Symptom Rating Scale (GSRS), the Rumination Response Scale (RRS), and the expression suppression subscale from the Gross-John Emotion Regulation Strategy.
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