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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 PDF[Cancer and nutritional management of overweight and obesity: Practice evaluation].
Bull Cancer
January 2025
Département prévention cancer environnement, centre Léon-Bérard, 69008 Lyon, France; Inserm U1296 rayonnements : défense, santé, environnement, centre Léon-Bérard, 69008 Lyon, France.
Context: The aim of this practice evaluation was to assess weight trends during and after a nutritional intervention in cancer patients and survivors.
Methods: This retrospective study was conducted between January 2014 and October 2020 in adults with different cancer types managed at the Léon-Bérard Cancer Center, undergoing treatment or during post-treatment follow-up, with a BMI≥25kg/m and who had at least 3 consultations with a nutrition physician. Nutritional management focused on behavioral, metabolic and nutritional aspects.
Healthy lifestyle before and during pregnancy to prevent childhood obesity: study protocol for a parallel group randomised trial - the PRE-STORK trial.
BMJ Open
January 2025
Clinical and Translational Research, Steno Diabetes Center Copenhagen, Herlev, Denmark
Introduction: The global prevalence of people living with overweight has tripled since 1975 and more than 40% of Danish women enter pregnancy being overweight. With the increasing rates of obesity observed in children, adolescents and adults, there is an urgent need for preventive measures. Risk factors for childhood obesity include maternal overweight or obesity before conception and excessive weight gain during pregnancy.
View Article and Find Full Text PDFEnhancing dementia prediction: A 19-year validation of the CAIDE risk score with insulin resistance and APOE ε4 integration in a population-based cohort.
J Prev Alzheimers Dis
February 2025
Turku PET Centre, University of Turku, Turku, Finland; Turku PET Centre, Turku University Hospital, Turku, Finland; Department of Geriatrics, Turku University Hospital, Wellbeing services county of Southwestern Finland, Finland.
Background: Dementia is a significant cause of disability and dependency. Persons with high dementia risk but intact cognition will benefit from preventive interventions.
Objectives: The aim was to validate dementia risk score Cardiovascular Risk Factors, Aging and Incidence of Dementia (CAIDE) in a national population-based cohort with data on age, education, hypertension, obesity, hyperlipidemia and physical activity.
Epidemiology of metabolic syndrome.
Pflugers Arch
January 2025
Leibniz Institute for Prevention Research and Epidemiology - BIPS, Bremen, Germany.
The global increase of overweight and obesity in children and adults is one of the most prominent public health threats, often accompanied by insulin resistance, hypertension, and dyslipidemia. The simultaneous occurrence of these health problems is referred to as metabolic syndrome. Various criteria have been proposed to define this syndrome, but no general consensus on the specific markers and the respective cut-offs has been achieved yet.
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