Objective: To analyze the performance of three different diagnostic criteria of overweight and obesity (WHO, IOTF and Conde and Monteiro) using body mass index (BMI) as predictors of metabolic syndrome (MetS) in a representative sample of adolescents.
Methods: A sample of 1035 adolescents aged 12-20 years (565 girls and 470 boys) was used in the study. BMI was calculated through the quotient of weight (kg)/height squared (m), and MetS was defined according to the criteria of the International Diabetes Federation. Sensitivity, specificity, and overall accuracy (area under the curve) were estimated using the receiver operating characteristic (ROC) curves method and used to describe the predictive performance.
Results: The three diagnostic criteria showed higher absolute values of sensitivity and specificity for predicting MetS in boys and older adolescents. The highest sensitivity to identify MetS was found using the IOTF criterion (60-85%), while specificity values ≥ 90% were found for the three criteria. The Conde and Monteiro diagnostic criterion pointed to a significantly lower overall accuracy (0.52-0.64) than that of the WHO (0.70-0.84) and IOTF (0.75-0.89) diagnostic criterion.
Conclusions: Overweight and obesity using BMI showed a moderate association with MetS, regardless of the diagnostic criteria used. However, the IOTF criterion showed better predictive capacity for the presence of MetS than the WHO and the Conde and Monteiro criteria.
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http://dx.doi.org/10.1016/j.jped.2016.11.014 | DOI Listing |
J Med Internet Res
January 2025
NOCD, Inc, Chicago, IL, United States.
Background: An effective primary treatment for obsessive-compulsive disorder (OCD) in children and adolescents as well as adults is exposure and response prevention (ERP), a form of intervention in the context of cognitive-behavioral therapy. Despite strong evidence supporting the efficacy and effectiveness of ERP from studies in research and real-world settings, its clinical use remains limited. This underuse is often attributed to access barriers such as the scarcity of properly trained therapists, geographical constraints, and costs.
View Article and Find Full Text PDFJ Med Internet Res
January 2025
Department of Health Policy and Management, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, United States.
Background: Uncertainty in the diagnosis of lung nodules is a challenge for both patients and physicians. Artificial intelligence (AI) systems are increasingly being integrated into medical imaging to assist diagnostic procedures. However, the accuracy of AI systems in identifying and measuring lung nodules on chest computed tomography (CT) scans remains unclear, which requires further evaluation.
View Article and Find Full Text PDFFracture-related infection (FRI) is a serious orthopaedic complication and its diagnosis, particularly in the upper extremity, is difficult and poorly defined in current literature. An international consensus definition of FRI was published in 2018, and our scoping review aims to investigate FRI diagnostic tools reported in the primary literature and their biostatistical utility. A review of articles generated from the PubMed/NCBI search term "fracture-related infection" was undertaken using PRISMA methodology.
View Article and Find Full Text PDFMetastasis stands as one of the most prominent prognostic factors in osteosarcoma. Over 70% of metastatic osteosarcoma occurrences affect the lung. Nonetheless, to date, there has been a scarcity of research addressing predictive factors for lung metastasis risk in osteosarcoma.
View Article and Find Full Text PDFNeurology
February 2025
Genomics of Neurodegenerative Diseases and Aging, Human Genetics, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, the Netherlands.
Background And Objectives: Identifying genetic causes of dementia in patients visiting memory clinics is important for patient care and family planning. Traditional clinical selection criteria for genetic testing may miss carriers of pathogenic variants in dementia-related genes. This study aimed identify how many carriers we are missing and to optimize criteria for selecting patients for genetic counseling in memory clinics.
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