IssueIn the Netherlands, the National Public Health Foresight Study (PHF) is published every 4 years, as starting point for national and local public health policy development. As these policies impact citizens’ health and lives, it is important to include their voices. We piloted an approach to strengthen this engagement to learn and to inspire PHF in other (country) settings.Problem descriptionPHF is usually expert-based. Citizen engagement, beyond consultation, is not yet common practice. In the Dutch PHF-2024, we engage citizens both as advisors (citizen council, N = 30 and panel, N = 500) and as target group (focusgroups N = 40). Intentionally the scope is diffuse, allowing for unexpected input. What can we learn from this approach, and how do the citizens contribute to the PHF?Results- Citizens of all ages, backgrounds and education types are well able to discuss health (determinants), data and indicators;- They have intrinsic motivation to contribute to better knowledge, feel responsible for effective engagement and are eager to engage across different backgrounds and population groups;- Integration of outcome into the PHF process is valuable, enriching scientific with experiential knowledge and facilitating results communication;- Fundamental questions, e.g., about foresight time frames (“why look so far ahead as the world is in crisis right now!”) are raised by the citizens, showing that these need to be better addressed in order to make PHF relevant for a broader public.Lessons- More permanent engagement of the citizens is needed to enable learning and development;- earlier engagement in the PHF process may enable joint development of core questions and issues to be addressed;- The results are highly encouraging; piloting this approach in other foresight types and in various contexts is therefore needed to refine and further develop it.Key messages• Citizen engagement can and should be strengthened to include citizen voices in the PHF process, informing policies that impact on their lives.• Citizens of all backgrounds, with their experiential knowledge, can be valuable partners in PHF, that provide important input.
MULTIFILE
Digital technologies permeate and transform organisational practices. As a society, we need means to explore the uncharted terrain that lies ahead and the desirability and consequences of possible courses of action to move forward. We investigate a design approach, called ‘future probing’, to envision and critically analyse possible futures around digital technologies. We first reconstruct our journey and describe related insights on the process, content and context level. Reflecting on the journey, we then extract a key insight revolving around the challenge for participants to link back from exploring the future to their present practice. In a first attempt at theorizing these difficulties, we see future probing as a practice that opens up adaptive space (Uhl-Bien & Arena, 2017) in which people from different backgrounds engage in dialogue about possible futures of digital technologies. We found that adaptive processes, like semi structuring, temporary decentralisation, and collaboration (Uhl-Bien & Arena, 2018) were supported by the future probing practices and seemed to create space for employees to engage in exploration. There was still a lack of compelling acts of brokering and network cohesion (Uhl-Bien & Arena, 2018). This may indicate why linking back to daily practice is challenging. We assume that organising for adaptability requires a deliberate act of connecting far future explorations with present action, and propose that besides explorative skills, ‘adaptive anticipating’ action is needed to make the connection and that linking back through near future experiments might be a way to achieve this.
We assessed how golfers cope with the commonly observed systematic overshoot errors in the perception of the direction between the ball and the hole. Experiments 1 and 2, in which participants were required to rotate a pointer such that it pointed to the center of the hole, showed that errors in perceived direction (in degrees of deviation from the perfect aiming line) are destroyed when the head is constrained to move within a plane perpendicular to the green. Experiment 3 compared the errors in perceived direction and putting errors of novice and skilled players. Unlike the perceived direction, putting accuracy (in degrees of deviation from the perfect aiming line) was not affected by head position. Novices did show a rightward putting error, while skilled players did not. We argue that the skill-related differences in putting accuracy reflect a process of recalibration. Implications for aiming in golf are discussed.
Our mission is to increase the productivity of Dutch greenhouses. Even the most modern greenhouses still suffer from 10% to 25% loss of crop due to pests and diseases (Pimentel, 2012). Our autonomous flying platform can reduce crop loss by regular scouting while avoiding excessive cost of manual labour. With one drone we can scout one hectare of greenhouse per hour, providing detailed information about environmental parameters and crop health, quality and quantity. In comparison traditional manual scouting methods scout a single hectare per day. As a spin-off from RAAK.MKB006.017 HiPerGreen, we are aiming for a fast track solution to a single pest control problem: Fusarium in orchids, and validate a Minimum Viable Product for use in the Greenhouse.
Regular physical activity is considered to be an important component of a healthy lifestyle that decreases the risk of coronary heart disease, diabetes mellitus type 2, hypertension, colon and breast cancer, obesity and other debilitating conditions. Physical activity can also improve functional capacity and therefore also the quality of life in older adults. Despite all these favorable aspects, a substantial part of the Dutch older adult population is still underactive or even sedentary. To change this for the better, the Groningen Active Living Model (GALM) was developed.Aim of GALM is to stimulate recreational sports activities in sedentary and underactive older adults in the 55-65 age band. After a door-to-door visit as part of an intensive recruitment phase, a fitness test was conducted followed by the GALM recreational sports program. This program was based on principles from evolutionary-biological play theory and insights fromsocial cognitive theory. The program was versatile in nature (e.g. softball, dance, self-defense, swimming, athletics, etc.) in two main ways: a) to improve compliance with the program different sports were offered, which was reported to be more appealing for older adults; b) by aiming at more components of motor fitness (e.g. strength, flexibility, speed, endurance and coordination). Between 1997 and 2005 more than 552,000 persons were visited door-to-door, over 55,700 were tested, and 41,310 participated in the GALM recreational sports program. The aim of the present thesis is to determine the effects of participation in the GALM recreational sports program on physical activity, health and fitness outcomes.Chapter 2 describes the effectiveness of the GALM recruitment in selecting and recruiting sedentary and underactive older adults. Three municipalities in the Netherlands were selected, and in every municipality four neighborhoods were included. Two of each of the four neighborhoods were randomly assigned as intervention and the others as control neighborhoods. In total, 8,504 persons were mailed and received a home visit. During this home visit the GALM recruitment questionnaire was collected on which the selection between sedentary/underactive and physically active older adults was based. Ultimately we succeeded inincluding 12.3% (315 of the 2,551 qualifying) of the older adults, 79.4% of whom could be indeed considered sedentary or underactive. The cost of successfully recruiting an older adult was estimated at $84.To assess the effects of a physical activity intervention on health and fitness and explain the results, it is necessary to know program characteristics regarding frequency, intensity, time and content of the activities. With respect to the GALM recreational sports activity program, the only unknown characteristic was intensity. Chapter 3 describes the intensity of this program systematically. Using heart rate monitors, data of 97 persons (mean age 60.1 yr) were collected in three municipalities. The mean intensity of all 15 GALM sessions was 73.7% of the predicted maximal heart rate. Six percent of the monitored heart rate time could be classified as light, 33% as moderate and 61% as hard. In summary, the GALM recreational sports program meets the 1998 ACSM recommendations for intensity necessary to improve cardiorespiratory fitness.Chapters 4 and 5 describe the effects of 6 and 12 months of participation in the GALM recreational sports program, and 181 persons were followed over time. Results after 6 months revealed only few significant between-group differences favoring the intervention group (i.e. sleep, diastolic blood pressure, perceived fitness score and grip strength). Changes in energyexpenditure for leisure-time physical activities (EELTPA) showed an increase in both study groups. From 6 to 12 months a decrease in EELTPA occurred in the intervention group and an increase in the control group. The significant positive time effects for the health outcomes (diastolic blood pressure, BMI, percentage of body fat) that were found after 6 months were diminishedfrom 6 to 12 months. However, the energy expenditure for recreational sports activities (EERECSPORT) demonstrated a continuous increase over 12 months. Parallel to this, significant main effects for time were found in performance-based fitness outcomes (i.e. simple reaction time, leg strength, flexibility of hamstrings and lower back, and aerobic endurance). After 12 months only a significant between-group difference for flexibility of the hamstrings andlower back was found, favoring the control group. In conclusion, a short-term increase in EELTPA was found with accompanying improvements in health outcomes that more or less disappeared in 6 to 12 months. In the long term, results showed a continuous increase in EERECSPORT and performance-based fitness. This latter increase is probably a reflection of the significantimprovement over time in EERECSPORT and the fact that recreational sports activities are of a higher intensity.Aerobic endurance is regarded as the most important component of motor fitness that is relevant for older adults to function independently. In Chapter 6, the development in aerobic endurance after 18 months of participation in the GALM recreational sports program was assessed by means of changes in heart rate during fixed submaximal exercise. Since both groups were comparable regarding changes in energy expenditure for physical activity after 6 months and testing confirmed this, both groups were combined and considered as one group. Multilevel analyses were conducted and models for change were developed. A significant decrease in heart rate over time was found at all walking speeds (4, 5, 6 and 7 km/h). The average decrease in heart rate was 5.5, 6.0, 10.0 and 9.0 beats/min for the 4, 5, 6 and 7 km/h walking speeds, respectively. The relative decrease varied from 5.1 to 7.4% relative to average heart rates at baseline. These results illustrate that participation in the GALM recreational sports program has a positive significant effect on aerobic endurance, and that the participants are able to perform at submaximal intensity more easily.Based on the overall results it can be concluded that this study contributes to the field in how to effectively recruit sedentary and underactive older adults and stimulate them to become and stay active in recreational sports activities. As far as we know, this recruitment in combination with the recreational sport program is not only unique but also effective toward increasing performance-based fitness in the long term. Short-term effects were found in other leisure-time activities and health outcomes. To further stimulate other leisure-time and probably health outcomes besides the favorable effects that were already seen, additional interventions that pay more attention to behavioral change in terms of how to integrate other activities besides sports activities are recommended.
