ABSTRACT
BACKGROUND: Many schools have been cutting physical education (PE) classes due to budget constraints, which raises the question of whether policymakers should require schools to offer PE classes. Evidence suggests that PE classes can help address rising physical inactivity and obesity prevalence. However, it would be helpful to determine if requiring PE is cost-effective. METHODS: We developed an agent-based model of youth in Mexico City and the impact of all schools offering PE classes on changes in weight, weight-associated health conditions and the corresponding direct and indirect costs over their lifetime. RESULTS: If schools offer PE without meeting guidelines and instead followed currently observed class length and time active during class, overweight and obesity prevalence decreased by 1.3% (95% CI: 1.0%-1.6%) and was cost-effective from the third-party payer and societal perspectives ($5,058 per disability-adjusted life year [DALY] averted and $5,786/DALY averted, respectively, assuming PE cost $50.3 million). When all schools offered PE classes meeting international guidelines for PE classes, overweight and obesity prevalence decreased by 3.9% (95% CI: 3.7%-4.3%) in the cohort at the end of five years compared to no PE. Long-term, this averted 3,183 and 1,081 obesity-related health conditions and deaths, respectively and averted ≥$31.5 million in direct medical costs and ≥$39.7 million in societal costs, assuming PE classes cost ≤$50.3 million over the five-year period. PE classes could cost up to $185.5 million and $89.9 million over the course of five years and still remain cost-effective and cost saving respectively, from the societal perspective. CONCLUSION: Requiring PE in all schools could be cost-effective when PE class costs, on average, up to $10,340 per school annually. Further, the amount of time students are active during class is a driver of PE classes' value (e.g., it is cost saving when PE classes meet international guidelines) suggesting the need for specific recommendations.
Subject(s)
Overweight , Physical Education and Training , Adolescent , Cost-Benefit Analysis , Humans , Mexico/epidemiology , Obesity/epidemiology , Obesity/prevention & control , Overweight/epidemiology , Overweight/prevention & control , SchoolsABSTRACT
Ultrasonography is a practical imaging technique used in numerous health care settings. It is relatively inexpensive, portable, and safe, and it has dynamic capabilities that make it an invaluable tool for a wide variety of diagnostic and interventional studies. Recently, there has been a revolution in medical imaging using artificial intelligence (AI). A particularly potent form of AI is deep learning, in which the computer learns to recognize pixel or written data on its own without the selection of predetermined features, usually through a specific neural network architecture. Neural networks vary in architecture depending on their task, and key design considerations include the number of layers and complexity, data available, technical requirements, and domain knowledge. Deep learning models offer the potential for promising innovations to workflow, image quality, and vision tasks in sonography. However, there are key limitations and challenges in creating reliable and safe AI models for patients and clinicians.
Subject(s)
Artificial Intelligence , Deep Learning , Algorithms , Humans , Kidney/diagnostic imaging , Machine Learning , UltrasonographyABSTRACT
Endometriosis is a common disease of reproductive-age women that is often first encountered with ultrasound. Therefore, familiarity with the variety of manifestations of endometriosis is important for appropriate diagnosis and management. The aim of this article is to review the spectrum of appearance of pelvic endometriosis and to discuss potential mimics on ultrasound. Given that magnetic resonance imaging is an important problem-solving tool in female pelvic imaging, magnetic resonance imaging correlation is also provided.
Subject(s)
Endometriosis/diagnosis , Ultrasonography/methods , Diagnosis, Differential , Female , Humans , Reproducibility of ResultsABSTRACT
Renal imaging has become a fundamental part of clinical care for patients with kidney disease. Imaging strategies for the kidney have been evolving during the past hundred years and have been even more rapidly changing during the past couple of decades due to the development of modern computed tomographic techniques, magnetic resonance imaging, and more sophisticated ultrasonographic techniques, such as contrast-enhanced ultrasonography. Applying the correct radiologic study for the clinical situation maximizes the diagnostic accuracy of the imaging, and a judicious choice between techniques helps limit radiation dose and potential adverse events. This Core Curriculum outlines the imaging modalities currently in use in radiology departments and is divided into 3 sections: (1) a review of the development of renal imaging and an outline of modalities available to the nephrologist, (2) imaging strategies for select clinical situations, and (3) a discussion of some potential adverse events from imaging, including effects of iodinated contrast on kidney function, risks of gadolinium-based contrast agents in kidney failure, and potential risks of imaging techniques that use ionizing radiation.
Subject(s)
Kidney/diagnostic imaging , Multimodal Imaging/methods , Renal Artery Obstruction/diagnosis , Aged , Computed Tomography Angiography/methods , Humans , Magnetic Resonance Angiography/methods , Male , Reproducibility of Results , Ultrasonography, Doppler/methodsABSTRACT
Research in Caucasian populations has begun to examine the broad associations between physical and mental health in dementia caregivers. However, the examination of this relationship in Latin America is largely absent from the literature despite the fact that the region will see a major increase in dementia cases over the next 20 years. The current study examined the associations between health-related quality of life (HRQOL) and mental health in 90 dementia caregivers from Colombia, South America. A canonical correlation found that higher caregiver HRQOL was related to better mental health, as expected. Caregivers with high vitality and low role limitations due to physical problems tended to have low depression and high satisfaction with life. Follow-up multiple regressions found that caregiver role limitations due to physical problems was uniquely associated with satisfaction with life, whereas vitality, role limitations due to physical problems, and pain were uniquely associated with burden (although the pain effect was likely error due to a suppressor effect). Additionally, vitality and social functioning were uniquely negatively related to depression. Because of the extremely high overlap between these two sets of variables, dementia interventions are needed in Latin America that target both caregiver mental and physical health, as both likely operate in unison and influence each other.