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Machine Learning-Based predictive model for adolescent metabolic syndrome: Utilizing data from NHANES 2007-2016.
Sci Rep
January 2025
Department of Anesthesiology and Surgical Intensive Care Unit, Kunming Children's Hospital, Kunming, Yunnan, China.
Metabolic syndrome (Mets) in adolescents is a growing public health issue linked to obesity, hypertension, and insulin resistance, increasing risks of cardiovascular disease and mental health problems. Early detection and intervention are crucial but often hindered by complex diagnostic requirements. This study aims to develop a predictive model using NHANES data, excluding biochemical indicators, to provide a simple, cost-effective tool for large-scale, non-medical screening and early prevention of adolescent MetS.
View Article and Find Full Text PDFPrevalence and predictors of sub-optimal laboratory monitoring of selected higher risk medicines in Irish general practice: a 5-year retrospective cohort study of community-dwelling older adults.
BMJ Open
January 2025
Department of General Practice, University College Cork, Cork, Ireland
Objectives: To describe the prevalence of sub-optimal monitoring for selected higher-risk medicines in older community-dwelling adults and to evaluate patient characteristics and outcomes associated with sub-optimal monitoring.
Study Design: Retrospective observational study (2011-2015) using historical general practice-based cohort data and linked dispensing data from a national pharmacy claims database.
Setting: Irish primary care.
Association of statins use and genetic susceptibility with incidence of Alzheimer's disease.
J Prev Alzheimers Dis
February 2025
Department of Neurology, Fujian Medical University Union Hospital, Fujian Key Laboratory of Molecular Neurology and Institute of Neuroscience, Fujian Medical University, No.29, Xinquan Road, Gulou District, Fuzhou, Fujian Province, 350000, China; Institute of Clinical Neurology, Fujian Medical University, No.29 Xinquan Road, Gulou District, Fuzhou, Fujian Province, 350000, China. Electronic address:
Background: The effect of statins use on the incidence of Alzheimer's disease (AD) is still under debate, and it could be modified by a series of factors.
Objectives: We aimed to examine the association of statins use with the risk of cognitive impairment and AD, and assess the moderating roles of genetic susceptibility and other individual-related factors.
Design: A longitudinal study was conducted from the UK Biobank where individuals completed baseline surveys (2006-2010) and were followed (mean follow-up period: 9 years).
Microstructural white matter injury contributes to cognitive decline: Besides amyloid and tau.
J Prev Alzheimers Dis
February 2025
Department of Neurology and National Center for Neurological Disorders, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, PR China. Electronic address:
Background: Cognitive decline and the progression to Alzheimer's disease (AD) are traditionally associated with amyloid-beta (Aβ) and tau pathologies. This study aims to evaluate the relationships between microstructural white matter injury, cognitive decline and AD core biomarkers.
Methods: We conducted a longitudinal study of 566 participants using peak width of skeletonized mean diffusivity (PSMD) to quantify microstructural white matter injury.
An umbrella review and meta-analysis of 87 meta-analyses examining healthcare workers' mental health during the COVID-19 pandemic.
J Affect Disord
January 2025
School of Kinesiology, University of British Columbia, Vancouver, BC, Canada. Electronic address:
During the COVID-19 pandemic, healthcare workers (HCWs) experienced several changes in their work (e.g., longer hours, new policies) that affected their mental health.
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