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    <title>Vries, H. de</title>
    <link>http://repub.eur.nl/res/aut/13030/</link>
    <description>List of Publications</description>
    <language>en</language>
    <image>
      <url>http://repub.eur.nl/static-eur/img/logo.png</url>
      <title>RePub, Erasmus University Rotterdam</title>
      <link>http://repub.eur.nl</link>
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    <item>
      <title>Prioritizing Replenishments of the Forward Reserve (Research Paper)</title>
      <link>http://repub.eur.nl/res/pub/32399/</link>
      <pubDate>2012-05-09T00:00:00Z</pubDate>
      <description>Having sufficient inventories in the piece-picking area of a warehouse is an essential condition for warehouse operations. This requires a timely replenishment of the products from a reserve area in case they could run out of stock. In this paper we develop analytical models to arrive at priority rules for these replenishments in case replenishments and order picking are done simultaneously because of time pressure. This problem was observed in a warehouse of a large cosmetics firm. The priority rules are compared by means of simulation and regression. 
Finally we present the results of applying one of these rules in practice.
</description>
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      <title>Effects of tailoring health messages on physical activity (Article)</title>
      <link>http://repub.eur.nl/res/pub/29484/</link>
      <pubDate>2008-06-01T00:00:00Z</pubDate>
      <description>Computer-tailored printed education can be a promising way of promoting physical activity. The present study tested whether computer-tailored feedback on physical activity is effective and whether there are differences between respondents with low and high motivation to change. Respondents (n = 487) were randomly assigned to a tailored intervention group or a no information control group. Physical activity and determinants were measured at baseline and after 3 months. At post-test, the motivated respondents in the control group were more likely not to meet the recommendation for physical activity than to meet it, and motivated respondents in the experimental group were more likely to engage in transport-related activities and showed more improvement over time for the total activity score than respondents in the control group (β = 0.24, P = 0.02). Both groups improved their behaviour over time. No group differences in physical activity were found for the unmotivated respondents. The results showed that the effects of the tailored feedback were restricted to respondents who had a positive motivation to change at baseline. Possible explanations could be that unmotivated respondents were unwilling to read and process the information because they felt 'no need to change'. Alternatively, one tailored feedback letter may not have been sufficient for this unmotivated group. </description>
    </item> <item>
      <title>Efficacy and use of an internet-delivered computer-tailored lifestyle intervention, targeting saturated fat intake, physical activity and smoking cessation: A randomized controlled trial (Article)</title>
      <link>http://repub.eur.nl/res/pub/29856/</link>
      <pubDate>2008-04-01T00:00:00Z</pubDate>
      <description>Background: Although experts claim that computer-tailored interventions provided over the Internet have great potential to promote health behavior change, few studies have tested the efficacy of computer-tailored lifestyle interventions online-delivered over the Internet. Purpose: To evaluate the short-term (1 month) efficacy of an Internet-delivered, computer-tailored lifestyle intervention targeting saturated fat intake, physical activity (PA), and smoking cessation, and to evaluate exposure to the intervention. Methods: A pretest-posttest randomized controlled trial with an intervention group and a no intervention waiting list control group was conducted. Self-reported behavior and determinants were assessed at baseline and 1 month follow-up. Exposure to the intervention was monitored through server registrations. The data were analyzed using multiple linear and logistic regression analysis. Results: The intervention resulted in a significantly lower self-reported saturated fat intake (b=-0.76, p&lt;0.01) and a higher likelihood of meeting the PA guidelines among respondents who were insufficiently active at baseline (OR=1.34, 95%CI=1.001-1.80). No significant intervention effects were found for self-reported smoking status. Of the participants, 81% actually visited the website. Conclusions: The Internet-delivered, computer-tailored lifestyle intervention was effective in reducing self-reported saturated fat intake and in increasing self-reported PA among participants who completed the study. </description>
    </item> <item>
      <title>The impact of educational and environmental interventions in Dutch worksite cafeterias (Miscellaneous)</title>
      <link>http://repub.eur.nl/res/pub/1891/</link>
      <pubDate>2004-01-01T00:00:00Z</pubDate>
      <description>Environmental interventions as labeling of healthy foods and an increased availability of healthy foods may help consumers to meet the guidelines for a healthy diet. This article describes a study into the effectiveness of two environmental programs to be used in worksite cafeterias along with an educational program. The aim of the interventions was to reduce fat intake and increase fruit and vegetable intake. In the 'Labeling Program', low fat products were labeled. The 'Food Supply Program' comprised an increased availability of low-fat products and fruits and vegetables in worksite cafeterias. The 'Educational Program' consisted of information about healthy nutrition through brochures, table tents, a self help manual and posters. The design consisted of a pretest-posttest experimental control group design, with four conditions: the Educational Program, the Food Supply Program plus Educational Program, the Labeling Program plus Educational Program and a control group. Seventeen worksites were randomly assigned to one of the four research conditions. Total fat, fruit, and vegetable intake was measured with a quantitative, self-administered food frequency questionnaire (35 questions). Intake during lunch was measured by asking respondents to write down which food items they had purchased during their last lunch in the cafeteria. Furthermore, sales data for some targeted product categories were collected (milk, butter, cheese, meat products, desserts). For the whole study population, no significant effects on consumption data were found for any of the programs. The data showed a beneficial significant treatment effect of the Labeling Program on total fat intake, for respondents who believe they eat a high fat diet. Sales data revealed a significant effect of the labeling program on desserts, but not for the other products.</description>
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