Economic insecurity during the Great Recession and metabolic, inflammatory and liver function biomarkers: analysis of the UK Household Longitudinal Study

Background: Economic insecurity correlates with adverse health outcomes, but the biological pathways involved are not well understood. We examine how changes in economic insecurity relate to metabolic, inflammatory and liver function biomarkers. Methods: Blood analyte data were taken from 6520 individuals (aged 25–59 years) participating in Understanding Society. Economic insecurity was measured using an indicator of subjective financial strain and by asking participants whether they had missed any bill, council tax, rent or mortgage payments in the past year. We investigated longitudinal changes in economic insecurity (remained secure, increase in economic insecurity, decrease in economic insecurity, remained insecure) and the accumulation of economic insecurity. Linear regression models were calculated for nine (logged) biomarker outcomes related to metabolic, inflammatory, liver and kidney function (as falsification tests), adjusting for potential confounders. Results: Compared with those who remained economically stable, people who experienced consistent economic insecurity (using both measures) had worsened levels of high-density lipoprotein (HDL)-cholesterol, triglycerides, C reactive protein (CRP), fibrinogen and glycated haemoglobin. Increased economic insecurity was associated with adverse levels of HDL-cholesterol (0.955, 95% CI 0.929 to 0.982), triglycerides (1.077, 95% CI 1.018 to 1.139) and CRP (1.114, 95% CI 1.012 to 1.227), using the measure of financial strain. Results for the other measure were generally consistent, apart from the higher levels of gamma-glutamyl transferase observed among those experiencing persistent insecurity (1.200, 95% CI 1.110 to 1.297). Conclusion: Economic insecurity is associated with adverse metabolic and inflammatory biomarkers (particularly HDL-cholesterol, triglycerides and CRP), heightening risk for a range of health conditions

Intra-Examiner Reliability of Disposable Gnathometers

In vivo test methods using the expensive methods gnathodynamometry for assessing maximum bite-force, revealed objective improvement of retention of maxillary dentures using denture adhesives. Since the introduction of the disposable gnathometer (Procter & Gamble), facilitating simple measurement of bite-force at dislodgement of the denture, it seems relatively easy to measure the maximum bite-force of maxillary dentures. The gnathometer has a scale ranking from 1 to 10. It measures the pressure which a patient can apply to the front teeth until dorsally dislodgement of the maxillary denture. The aim of the present study was to test the intra-examiner reliability of gnathometers. In each of 5university dental clinics (Rotterdam, Groningen, Athens, Gent, and Istanbul) 5 patients who had received a new conventional complete maxillary denture less than one month previously, were selected. These patients had a stable natural dentition or prosthetic appliance in the mandible, e.g. an overdenture attached on natural or implant abutments, a partial natural dentition with a stable partial chromcobalt denture, etc. In the first session the maximum bite-force was measured by one experienced prosthodontist for each patient using three different gnathometers, successively three times with each gnathometer. If the result was between 2 ranking points, the lowest was registered. The 9 measurements were conducted with three-minute breaks in order to enable the patient to reposition the dentures comfortably and habitually. One week later at the same time of the day, these measurements were repeated with the same three gnathometers, respectively for each patient, as used in the first session. Intra-examiner reliability was very good. Paired sample correlations were 0.91, with overall measurement error of 0.7 on the ranking scale

A fabrication guide for planar silicon quantum dot heterostructures

We describe important considerations to create top-down fabricated planar quantum dots in silicon, often not discussed in detail in literature. The subtle interplay between intrinsic material properties, interfaces and fabrication processes plays a crucial role in the formation of electrostatically defined quantum dots. Processes such as oxidation, physical vapor deposition and atomic-layer deposition must be tailored in order to prevent unwanted side effects such as defects, disorder and dewetting. In two directly related manuscripts written in parallel we use techniques described in this work to create depletion-mode quantum dots in intrinsic silicon, and low-disorder silicon quantum dots defined with palladium gates. While we discuss three different planar gate structures, the general principles also apply to 0D and 1D systems, such as self-assembled islands and nanowires.Comment: Accepted for publication in Nanotechnology. 31 pages, 12 figure

Quantifying signal changes in nano-wire based biosensors

In this work, we present a computational methodology for predicting the change in signal (conductance sensitivity) of a nano-BioFET sensor (a sensor based on a biomolecule binding another biomolecule attached to a nano-wire field effect transistor) upon binding its target molecule. The methodology is a combination of the screening model of surface charge sensors in liquids developed by Brandbyge and co-workers [Sørensen et al., Appl. Phys. Lett., 2007, 91, 102105], with the PROPKA method for predicting the pH-dependent charge of proteins and protein-ligand complexes, developed by Jensen and co-workers [Li et al., Proteins: Struct., Funct., Bioinf., 2005, 61, 704-721, Bas et al., Proteins: Struct., Funct., Bioinf., 2008, 73, 765-783]. The predicted change in conductance sensitivity based on this methodology is compared to previously published data on nano-BioFET sensors obtained by other groups. In addition, the conductance sensitivity dependence from various parameters is explored for a standard wire, representative of a typical experimental setup. In general, the experimental data can be reproduced with sufficient accuracy to help interpret them. The method has the potential for even more quantitative predictions when key experimental parameters (such as the charge carrier density of the nano-wire or receptor density on the device surface) can be determined (and reported) more accurately. © 2011 The Royal Society of Chemistry

Effect of surface losses on soliton propagation in Josephson junctions

We have explored numerically the effects on soliton propagation of a third order damping term in the modified sine‐Gordon equation. In Josephson tunnel junctions such a term corresponds physically to quasiparticle losses within the metal electrodes of the junction. We find that this loss term plays the dominant role in determining the shape and stability of the soliton at high velocity