Increases in energy, protein and fat intake following the addition of sauce to an older person's meal

Energy intake in 15-20% of the UK older population is currently thought to be inadequate for health. Based on the suggestion that increases in food pleasantness and familiarity can increase intake, this study investigated the impact of the addition of sauce to an older person's meal on subsequent intake. Twenty-eight older people consumed two meals with sauce and the same two meals without sauce on different occasions, and amount consumed in terms of weight, energy and energy consumed from carbohydrate, fat and protein were compared. Pre-meal hunger and desire to eat, post-meal pleasantness and familiarity and participants' expectations of the effects of sauces were also measured. Compared to meals without sauce, meals with sauce were found to result in greater intakes of energy, energy consumed from protein and energy consumed from fat (smallest t(27)=2.13, p=0.04). No differences between conditions were found in measures of pre-meal hunger and desire to eat, or post-meal pleasantness and familiarity (largest t(27) = 1.47, p = 0.15). Similar effects were also found when participant expectations were taken into account, and no differences between participants who expected sauces to affect intake vs. those who did not expect sauces to affect intake were found (largest F(1, 26) = 1.70, p=0.20). These findings suggest that the addition of sauce to an older person's meal can result in increases in intake and may be beneficial for preventing or treating under-nutrition in these individuals, although the mechanisms by which sauces can increase intake are unlikely to be related to pleasantness and familiarity. (c) 2008 Elsevier Ltd. All rights reserved.

Computational simulation methodologies for mechanobiological modelling: a cell-centred approach to neointima development in stents

The design of medical devices could be very much improved if robust tools were available for computational simulation of tissue response to the presence of the implant. Such tools require algorithms to simulate the response of tissues to mechanical and chemical stimuli. Available methodologies include those based on the principle of mechanical homeostasis, those which use continuum models to simulate biological constituents, and the cell-centred approach, which models cells as autonomous agents. In the latter approach, cell behaviour is governed by rules based on the state of the local environment around the cell; and informed by experiment. Tissue growth and differentiation requires simulating many of these cells together. In this paper, the methodology and applications of cell-centred techniques-with particular application to mechanobiology-are reviewed, and a cell-centred model of tissue formation in the lumen of an artery in response to the deployment of a stent is presented. The method is capable of capturing some of the most important aspects of restenosis, including nonlinear lesion growth with time. The approach taken in this paper provides a framework for simulating restenosis; the next step will be to couple it with more patient-specific geometries and quantitative parameter data.