Even in a less eventful year, it’s no easy feat: working to make our food supply healthy and sustainable. But 2020 brought a spate of new challenges. It was the year of Brexit, Black Lives Matter, and the COVID-19 pandemic. A year of hope and loss and solidarity, of masks and worries and Zoom calls. Of infection sweeping through the meatpacking industry and sometimes, of empty supermarket shelves. It was also the year that brought us the glimmering realisation that everything could be different. When so much has changed – how we work, who we spend time with, how far we venture from home – what all might be possible for food and for farming? In Flevo Campus’s latest collection of essays, thirteen journalists, scholars, and thought leaders from the US, the Netherlands, and the UK share insight into the question: How can we build resilience into our food supply – and grow more resilient ourselves? Every year, Flevo Campus publishes the best work on feeding the cities of today and tomorrow. This year’s edition includes essays by Stephen Satterfield, Charles C. Mann, Herman Lelieveldt, Hester Dibbits, Kelly Streekstra, Sigrid Wertheim-Heck, Anke Brons, Joris Lohman, Sebastiaan Aalst, Marian Stuiver, Frank Verhoeven, Emily Whyman, and Lenno Munnikes.
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The purpose of this study was to determine the perception of sustainability among horse owners in the Netherlands and their willingness to switch to more sustainable feeding practices. A survey was distributed to a target group of horse owners in the Netherlands via social media channels. Data (n=338 valid responses) were stratified based on yard type and size (small (<20), medium (20-50), and large (>50 horses). Most of the yards were livery yards (68%) and they were small in size (66%). The term most commonly associated with sustainability was low environmental impact (61.8%). All participants (338/338) indicated that they were willing to switch to more sustainable feeding practices. Of the six options offered, the most popular was the use of plastic-free packaging products (60.5%). This study identified that numerically the greatest change in behavior for the Dutch equestrian community would be achieved by small livery yards (P < 0.001). The potential to modify certain practices might be limited by the size of the equestrian operation, such as the available land for altering pasture management, and the financial aspects of the enterprise. Future research should investigate how the scale and economic considerations of the equestrian business influence its capacity and willingness to adopt more sustainable feeding practices.
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OBJECTIVE: Coordinating sucking, swallowing and breathing to achieve effective sucking is a complex process and even though sucking is essential for nutrition, little is known about sucking patterns after birth. Our objective was to study sucking patterns in healthy fullterm infants and to describe the age-specific variations.METHOD: We studied the sucking patterns of 30 healthy, fullterm infants longitudinally from 2 or 3 days after birth to 10 weeks of age. During this time we recorded five to seven feeding episodes that we assessed off-line with the Neonatal Oral-Motor Assessment Scale (NOMAS).RESULTS: We found a normal sucking pattern on the second or third day after birth in 27 out of 30 infants. During the following weeks we found abnormal sucking patterns in 23 out of 171 feeding episodes (14%) and normal patterns in 148 episodes (86%). Altogether, between 38 and 50 weeks' postmenstrual age (10 weeks after birth), 10 infants displayed a deviating, arrhythmical sucking pattern. Dysfunctional sucking patterns and problems of coordinating sucking, swallowing and breathing did not occur. Birth weight, gestational age, type of labour and gender did not influence sucking patterns. Arrhythmical sucking was seen more often in bottle-fed infants.CONCLUSION: Our study demonstrated that practically all healthy fullterm infants started off with a normal sucking pattern soon after birth. One-third of the infants displayed one or more deviating episodes up to the age of 10 weeks. Apart from bottle-feeding, no other factors were found that influenced sucking patterns.
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OBJECTIVES: Sucking problems in preterm infants can be specified by means of visual observation. The Neonatal Oral-Motor Assessment Scale (NOMAS) is the visual observation method most commonly used to assess the non-nutritive sucking (NNS) and nutritive sucking (NS) skills of infants up to approximately 8 weeks postterm. During the first 2 min of a regular feeding the infant's sucking skill is assessed, either immediately or on video. Although NOMAS has been used since 1993, little is known about the method's reliability. The aim of our study was to determine the test-retest and inter-rater reliability of NOMAS.METHODS: The 75 infants included in this study were born at 26-36 weeks postmenstrual age (PMA). Four observers participated in the study. They were trained and certified to administer NOMAS in the Netherlands by M.M. Palmer between 2000 and 2002.RESULTS: We found the test-retest agreement of NOMAS to be 'fair' to 'almost perfect' (Cohen's kappa [kappa] between 0.33 and 0.94), whereas the inter-rater agreement with respect to the diagnosis was 'moderate' to 'substantial' (Cohen's kappa, between 0.40 and 0.65). As a diagnostic tool, however, the current version of NOMAS cannot be used for both full-term and preterm infants. For a measuring instrument such as NOMAS, one should aim at reliability coefficients for inter-rater and test-retest agreement of at least 0.8. A Cohen's kappa of 0.6 or less we find unacceptable. Nonetheless, by observing sucking and swallowing according to a protocol much useful information can be gathered about the development of an infant's sucking skills. For instance, whether the infant is able to co-ordinate sucking and swallowing, whether the infant can maintain sucking, swallowing and breathing during the continuous phase and whether the infant is able to suck rhythmically with equally long bursts. In addition, NOMAS offers useful aids for intervention.CONCLUSIONS: NOMAS should be re-adjusted in order to improve inter-rater agreement, and at the same time current insights into the development of sucking and swallowing should be incorporated in the method.
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Background: Parents influence their children’s nutrition behavior. The relationship between parental influences and children’s nutrition behavior is often studied with a focus on the dyadic interaction between the parent and the child. However, parents and children are part of a broader system: the family. We investigated the relationship between the family nutrition climate (FNC), a family-level concept, and children’s nutrition behavior. Methods: Parents of primary school-aged children (N = 229) filled in the validated family nutrition climate (FNC) scale. This scale measures the families’ view on the consumption of healthy nutrition, consisting of four di erent concepts: value, communication, cohesion, and consensus. Parents also reported their children’s nutrition behavior (i.e., fruit, vegetable, water, candy, savory snack, and soda consumption). Multivariate linear regression analyses, correcting for potential confounders, were used to assess the relationship between the FNC scale (FNC-Total; model 1) and the di erent FNC subscales (model 2) and the child’s nutrition behavior. Results: FNC-Total was positively related to fruit and vegetable intake and negatively related to soda consumption. FNC-value was a significant predictor of vegetable (positive) and candy intake (negative), and FNC-communication was a significant predictor of soda consumption (negative). FNC-communication, FNC-cohesion, and FNC-consensus were significant predictors (positive, positive, and negative, respectively) of water consumption. Conclusions: The FNC is related to children’s nutrition behavior and especially to the consumption of healthy nutrition. These results imply the importance of taking the family-level influence into account when studying the influence of parents on children’s nutrition behavior. Trial registration: Dutch Trial Register NTR6716 (registration date 27 June 2017, retrospectively registered), METC163027, NL58554.068.16, Fonds NutsOhra project number 101.253.
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This book contains the abstracts to the sessions presented at the AESOP Sustainable Food Planning conference in 2022. The conference was made up of four tracks: social inclusion; urban agriculture; urban planning, design and development; food governance.
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Animal welfare is a multidimensional phenomenon and currently its on-farm assessment requires complex, multidimensional frameworks involving farm audits which are time-consuming, infrequent and expensive. The core principle of precision agriculture is to use sensor technologies to improve the efficiency of resource use by targeting resources to where they give a benefit. Precision livestock farming (PLF) enables farm animal management to move away from the group level to monitoring and managing individual animals. A range of precision livestock monitoring and control technologies have been developed, primarily to improve livestock production efficiency. Examples include using camera systems monitoring the movement of housed broiler chickens to detect problems with feeding systems or disease and leg-mounted accelerometers enabling the detection of the early stages of lameness in dairy cows. These systems are already improving farm animal welfare by, for example, improving the detection of health issues enabling more rapid treatment, or the detection of problems with feeding systems helping to reduce the risk of hunger. Environmental monitoring and control in buildings can improve animal comfort, and automatic milking systems facilitate animal choice and improve human-animal interactions. Although these precision livestock technologies monitor some parameters relevant to farm animal welfare (e.g. feeding, health), none of the systems yet provide the broad, multidimensional integration that is required to give a complete assessment of an animal’s welfare. However, data from PLF sensors could potentially be integrated into automated animal welfare assessment systems, although further research is needed to define and validate this approach.
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Background: The environment affects children’s energy balance-related behaviors to a considerable extent. A context-based physical activity and nutrition school- and family-based intervention, named KEIGAAF, is being implemented in low socio-economic neighborhoods in Eindhoven, The Netherlands. The aim of this study was to investigate: 1) the effectiveness of the KEIGAAF intervention on BMI z-score, waist circumference, physical activity, sedentary behavior, nutrition behavior, and physical fitness of primary school children, and 2) the process related to the implementation of the intervention. Methods: A quasi-experimental, controlled study with eight intervention schools and three control schools was conducted. The KEIGAAF intervention consists of a combined top-down and bottom-up school intervention: a steering committee developed the general KEIGAAF principles (top-down), and in accordance with these principles, KEIGAAF working groups subsequently develop and implement the intervention in their local context (bottom-up). Parents are also invited to participate in a family-based parenting program, i.e., Triple P Lifestyle. Children aged 7 to 10 years old (grades 4 to 6 in the Netherlands) are included in the study. Effect evaluation data is collected at baseline, after one year, and after two years by using a child questionnaire, accelerometers, anthropometry, a physical fitness test, and a parent questionnaire. A mixed methods approach is applied for the process evaluation: quantitative (checklists, questionnaires) and qualitative methods (observations, interviews) are used. To analyze intervention effectiveness, multilevel regression analyses will be conducted. Content analyses will be conducted on the qualitative process data. Discussion: Two important environmental settings, the school environment and the family environment, are simultaneously targeted in the KEIGAAF intervention. The combined top-down and bottom-up approach is expected to make the intervention an effective and sustainable version of the Health Promoting Schools framework. An elaborate process evaluation will be conducted alongside an effect evaluation in which multiple data collection sources (both qualitative and quantitative) are used.
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Background: The need for effective continuing education is especially high in in-hospital geriatric care, as older patients have a higher risk of complications, such as falls. It is important that nurses are able to prevent them. However, it remains unknown which interventions change the behavior of nurses. Therefore, the aim of this study is to identify intervention options to change the behavior of hospital nurses regarding fall prevention among older hospitalized patients. Methods: This study used a mixed method design. The Behavior Change Wheel (BCW) was used to identify intervention functions and policy categories to change the behavior of nurses regarding fall prevention. This study followed the eight steps of the BCW and two methods of data collection were used: five focus groups and three Delphi rounds. The focus groups were held with hospital nurses (n = 26). Geriatric experts (n = 11), managers (n = 13) and educators (n = 13) were included in the Delphi rounds. All data were collected within ten tertiary teaching hospitals in the Netherlands. All participants were included based on predefined in- and exclusion criteria and availability. Results: In Geriatric experts’ opinions interventions targeting behavior change of nurses regarding fall prevention should aim at ‘after-care’, ‘estimating fall risk’ and ‘providing information’. However, in nurses’ opinions it should target; ‘providing information’, ‘fall prevention’ and ‘multifactorial fall risk assessment’. Nurses experience a diversity of limitations relating to capability, opportunity and motivation to prevent fall incidents among older patients. Based on these limitations educational experts identified three intervention functions: Incentivisation, modelling and enablement. Managers selected the following policy categories; communication/marketing, regulation and environmental/social planning. Conclusions: The results of this study show there is a discrepancy in opinions of nurses, geriatric experts, managers and educators. Further insight in the role and collaboration of managers, educators and nurses is necessary for the development of education programs strengthening change at the workplace that enable excellence in nursing practice. DOI: https://doi.org/10.1186/s12912-021-00598-z
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Objectives: Promoting unstructured outside play is a promising vehicle to increase children’s physical activity (PA). This study investigates if factors of the social environment moderate the relationship between the perceived physical environment and outside play. Study design: 1875 parents from the KOALA Birth Cohort Study reported on their child’s outside play around age five years, and 1516 parents around age seven years. Linear mixed model analyses were performed to evaluate (moderating) relationships among factors of the social environment (parenting influences and social capital), the perceived physical environment, and outside play at age five and seven. Season was entered as a random factor in these analyses. Results: Accessibility of PA facilities, positive parental attitude towards PA and social capital were associated with more outside play, while parental concern and restriction of screen time were related with less outside play. We found two significant interactions; both involving parent perceived responsibility towards child PA participation. Conclusion: Although we found a limited number of interactions, this study demonstrated that the impact of the perceived physical environment may differ across levels of parent responsibility.
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