Although the majority of the literature has confirmed that recessions are beneficial for adults' health and babies' outcomes at delivery, this effect should not necessarily be the same for children. In this paper, we study the effect of business cycle conditions on infant underweight, overweight, and obesity. We exploit eight waves of repeated cross-sectional data (1987-2012) of the Spanish National Health Survey for children aged 2-15 and use the regional unemployment rate of the trimester of the interview as a proxy for the business cycle phase at the local level. We find that an increase in the unemployment rate is associated with lower obesity incidence, especially for children under 6 years old and over 12 years old. However, economic shocks also proof to have potentially negative consequences as they increase the prevalence of infant underweight for the same age groups. Moreover, we show that the possible mechanisms through which the cycle is impacting infant obesity is the nutritional composition of the children's diet, as well as, increases in the frequency of exercise. We provide some evidence that suggests that the impact of business cycle conditions on infant weight disorders have little objective health consequences in the short run. However, the potential long-term effects may become important as underweight during childhood is associated with worse outcomes later in life. Copyright © 2016 John Wiley & Sons, Ltd.
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Cancers (Basel)
December 2024
Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), 28029 Madrid, Spain.
: Implementing self-sampling (SS) in cervical cancer screening requires comparable results to clinician-collected samples (CCS). Agreement measures are essential for evaluating HPV test performance. Previous studies on non-paired samples have reported higher viral cycle threshold (Ct) values in SS compared to CCS, affecting sensitivity for detecting cervical intraepithelial neoplasia grade 2 or worse (CIN2+).
View Article and Find Full Text PDFJ Neurosurg
January 2025
8Department of Healthcare Administration and Medical Informatics, Kaohsiung Medical University, Kaohsiung.
Objective: This study focuses on epidermal growth factor receptor-mutated lung adenocarcinoma, known for frequent brain metastasis. It aimed to compare the clinical outcomes and cost-effectiveness of combining Gamma Knife radiosurgery (GKRS) with tyrosine kinase inhibitors (TKIs) (GKRS+TKI group) versus TKIs alone (TKI group) for the treatment of patients with newly diagnosed brain metastasis in this condition.
Methods: Study characteristics of the two groups were matched using inverse probability of treatment weighting (IPTW).
Sci Rep
January 2025
Department of Industry Engineering, Poltava State Agrarian University, Poltava, Ukraine.
The effective implementation of the European Green Deal is based on closing cycles by means of reusing products and extending their durability, especially for steel products in the construction industry. The Life Cycle Assessment gives an opportunity to determine the potential impact caused on the environment by building structures and it is used mainly at the early design stage. At the same time, there are significant gaps when it comes to predicting properties of steel products at the last stage of the life cycle of existing buildings in the End of Life Stage (C1-C4) phases and especially D-Benefits and Loads Beyond the System Boundary.
View Article and Find Full Text PDFSensors (Basel)
December 2024
Fundación Centro Tecnológico CTC-Scientific and Technological Park of Cantabria (PCTCAN), Street Isabel Torres Nº 1, 39011 Santander, Spain.
This study presents the design and validation of a numerical method based on an AI-driven ROM framework for implementing stress virtual sensing. By leveraging Reduced-Order Models (ROMs), the research aims to develop a virtual stress transducer capable of the real-time monitoring of mechanical stresses in mechanical components previously analyzed with high-resolution FEM simulations under a wide range of multiple load scenarios. The ROM is constructed through neural networks trained on Finite Element Method (FEM) outputs from multiple scenarios, resulting in a simplified yet highly accurate model that can be easily implemented digitally.
View Article and Find Full Text PDFFoods
December 2024
Key Laboratory of Grain and Oil Processing and Food Safety of Sichuan Province, College of Food and Bioengineering, Xihua University, Chengdu 610039, China.
The processing properties of resistant starch (RS) and its digestion remain unclear, despite the widespread use of autoclaving combined with debranching in its preparation. In this study, the physicochemical, rheological and digestibility properties of autoclaving modified starch (ACB), autoclaving-pullulanase modified starch (ACPB) and native black Tartary buckwheat starch (NB) were compared and investigated. The molecular weight and polydispersity index of modified starch was in the range of 0.
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