Rationale: In order to optimize training effects for prevention of sarcopenia and frailty in community dwelling older adults a higher daily protein intake is required. To increase total daily protein intake to optimal levels (minimal 1.2 g/kg/d, optimal 1.5 g/kg/d) during a resistance exercise training of 12 weeks we use blended dietary counseling and protein supplementation with protein enriched food products. This study focusses on 1) first effects; 2) the adherence to this protein intervention.Methods: Preliminary data of the TEAMS RCT is available for 41 community dwelling older adults with physical limitations or receiving home-care (age ≥ 65y): 23 in exercise only (EX) and 18 in exercise+protein (EXpro) group. Dietary intake was measured by a 3d dietary record at baseline and after 12 weeks of intervention. A two-way mixed ANOVA with time, group, and time*group interaction was performed. Adherence data was logged by a dietician coach.Results: The mean age of the subjects was 74±6y, of which 73% were females. SPPB score was 9.5±1.9, BMI 28.9±5.0 and protein intake 0.9±0.3 g/kgBW/d. Table 1 shows improved protein intake over time in the EXpro compared to EX group (p=0.014). ANOVA revealed significant effect of time, and time*group (p<0.05). Adherence to the blended coaching sessions was high (95%), with the face-to-face sessions (88%) and tele-coaching (100%). In the EXpro group 59% of the subjects increased protein intake above the minimum intake level, compared to 38% in the EX group.Conclusion: This study shows that blended dietary counseling with use of protein supplementation improves protein intake sufficiently in exercising community dwelling older adults. Blended counseling and the use of protein enriched food products is a promising strategy for dieticians in the prevention of sarcopenia and frailty.
Psychologists, psycholinguists, and other researchers using language stimuli have been struggling for more than 30 years with the problem of how to analyze experimental data that contain two crossed random effects (items and participants). The classical analysis of variance does not apply; alternatives have been proposed but have failed to catch on, and a statistically unsatisfactory procedure of using two approximations (known as F 1 and F 2) has become the standard. A simple and elegant solution using mixed model analysis has been available for 15 years, and recent improvements in statistical software have made mixed models analysis widely available. The aim of this article is to increase the use of mixed models by giving a concise practical introduction and by giving clear directions for undertaking the analysis in the most popular statistical packages. The article also introduces the djmixed add-on package for SPSS, which makes entering the models and reporting their results as straightforward as possible.
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Background: Health care practitioners' knowledge and attitudes influence patients’ beliefs and health outcomes in musculoskeletal (MSK) pain. It is unclear to what extent physiotherapists undertaking a postgraduate master in manual therapy (MT students) possess the knowledge and attitudes toward pain neuroscience to be able to apply the biopsychosocial model in patients with MSK pain. Objectives: The aim of this study was to assess the knowledge and attitudes toward pain neuroscience in MT students. Design: A cross-sectional study. Method: Self-reported knowledge and attitudes were measured among students (n = 662) at baseline and in all years of the MT postgraduate programs in the Netherlands. The Knowledge and Attitudes of Pain questionnaire (KNAP) was used as a primary measure. Difference in KNAP-scores between baseline (0), year 1, year 2 and year 3 was tested using a one-way ANOVA (hypothesis: 0 < 1
Many lithographically created optical components, such as photonic crystals, require the creation of periodically repeated structures [1]. The optical properties depend critically on the consistency of the shape and periodicity of the repeated structure. At the same time, the structure and its period may be similar to, or substantially below that of the optical diffraction limit, making inspection with optical microscopy difficult. Inspection tools must be able to scan an entire wafer (300 mm diameter), and identify wafers that fail to meet specifications rapidly. However, high resolution, and high throughput are often difficult to achieve simultaneously, and a compromise must be made. TeraNova is developing an optical inspection tool that can rapidly image features on wafers. Their product relies on (a) knowledge of what the features should be, and (b) a detailed and accurate model of light diffraction from the wafer surface. This combination allows deviations from features to be identified by modifying the model of the surface features until the calculated diffraction pattern matches the observed pattern. This form of microscopy—known as Fourier microscopy—has the potential to be very rapid and highly accurate. However, the solver, which calculates the wafer features from the diffraction pattern, must be very rapid and precise. To achieve this, a hardware solver will be implemented. The hardware solver must be combined with mechatronic tracking of the absolute wafer position, requiring the automatic identification of fiduciary markers. Finally, the problem of computer obsolescence in instrumentation (resulting in security weaknesses) will also be addressed by combining the digital hardware and software into a system-on-a-chip (SoC) to provide a powerful, yet secure operating environment for the microscope software.
Het belang van het opdoen van waardevolle burgerschapservaringen voor jongeren wordt breed gedragen. Burgerschap van jongeren is een maatschappelijk speerpunt, wat zich het meest zichtbaar vertaalt naar aandacht voor burgerschap binnen het formele onderwijs. Maar burgerschapservaringen kunnen zowel op school als buiten school worden opgedaan. In Nederland tekent zich een burgerschapskansenkloof af, waarbij kinderen en jongeren uit wijken met bewoners met een gemiddeld lage sociaaleconomische status minder mogelijkheden ervaren om hun burgerschap te (be)oefenen dan leeftijdgenoten uit wijken met bewoners met een gemiddeld hoge sociaaleconomische status. Beleidsmakers en buurtprofessionals erkennen het belang van jeugdparticipatie, als een waardevolle burgerschapservaring, maar geven aan beperkt zicht te hebben op concrete methoden om dat vorm te geven. Ook geven zij aan jongeren selectief te bereiken, waarbij vooral jongeren uit wijken met bewoners met een gemiddeld hoge sociaaleconomische status profiteren van het aanbod. In dit project richten we ons dus op jonge burgers (10-14 jaar) uit wijken met bewoners met een gemiddeld lagere sociaaleconomische status en onderzoeken we de impact van het ontwerpprogramma ‘Ontwerpen voor de buurt’. Dit programma is ontwikkeld door Stichting TerraNova – Democratisch Design. De deelnemers worden in dit programma opgeleid tot social designers en worden gestimuleerd om hun eigen dromen voor de buurt om te zetten in concrete plannen die zij voorleggen aan beleidsmakers. In het onderzoek volgen we drie trajecten van het programma op verschillende plekken in Nederland. We richten ons daarbij in het bijzonder op de impact die de trajecten hebben op het vertrouwen van de deelnemers in hun vermogens als burgers, hun civic self-efficacy. Daarnaast onderzoeken we in de lokale context de behoeften van buurtprofessionals bij het ontwikkelen en ondersteunen van jeugdparticipatie. Zo biedt dit project belangrijke inzichten om waardevolle burgerschapservaringen voor jonge burgers in hun buurt mogelijk te maken.
