@article{KawasakiAkamatsuFujiwaraetal.2021, author = {Kawasaki, Yui and Akamatsu, Rie and Fujiwara, Yoko and Omori, Mika and Sugawara, Masumi and Yamazaki, Yoko and Matsumoto, Satoko and Iwakabe, Shigeru and Kobayashi, Tetsuyuki}, title = {Is mindful eating sustainable and healthy?}, series = {Eating and weight disorders : studies on anorexia, bulimia and obesity}, volume = {26}, journal = {Eating and weight disorders : studies on anorexia, bulimia and obesity}, number = {7}, publisher = {Springer International Publ.}, address = {Cham}, issn = {1590-1262}, doi = {10.1007/s40519-020-01093-1}, pages = {2183 -- 2199}, year = {2021}, abstract = {Purpose: This study aimed to investigate the correlation between mindful eating and nutritional intake, food consumption, and healthful and unhealthful plant-based dietary patterns in young Japanese women. Methods: The sample comprised 215 female undergraduates who responded to a two-questionnaire anonymous survey conducted in Tokyo, Japan in 2018 and 2019 from November to December. We measured mindful eating status using the Expanded Mindful Eating Scale (EMES) and used Japanese plant-based dietary indices to determine plant-based dietary patterns. Partial correlation analyses were conducted to determine the correlation of mindful eating with energy and nutrient intake, food consumption, and plant-based dietary patterns, after adjusting for demographics and body mass index. Results: Participants with higher sub-scores in "health of the planet" and "awareness and appreciation for food" ate higher quantities of several micronutrients and plant-based foods and were more likely to have a healthful plant-based dietary pattern. They were also less likely to have an unhealthful plant-based dietary pattern. In contrast, participants with higher scores in "non-judgmental awareness" ate less protein, whole grains, and vegetables, and were likely to have an unhealthful plant-based dietary pattern. Conclusion: This study is the first to show that young Japanese women with normal or lean body weight were more likely to consume healthful plant-based foods when they ate mindfully. Level V: Opinions of respected authorities, based on descriptive studies, narrative reviews, clinical experience, or reports of expert committees.}, language = {en} } @article{KawasakiAkamatsuFujiwaraetal.2021, author = {Kawasaki, Yui and Akamatsu, Rie and Fujiwara, Yoko and Omori, Mika and Sugawara, Masumi and Yamazaki, Yoko and Matsumoto, Satoko and Iwakabe, Shigeru and Kobayashi, Tetsuyuki}, title = {Later chronotype is associated with unhealthful plant-based diet quality in young Japanese women}, series = {Appetite : multidisciplinary research on eating and drinking}, volume = {166}, journal = {Appetite : multidisciplinary research on eating and drinking}, publisher = {Elsevier}, address = {Amsterdam [u.a.]}, issn = {0195-6663}, doi = {10.1016/j.appet.2021.105468}, pages = {9}, year = {2021}, abstract = {Background: Having a late chronotype, that is, the tendency to go to sleep and wake up at later hours, influences an individual's physical and mental health. Despite a few studies noting the association of chronotype with healthy dietary patterns, this relationship remains unclear. Purpose: This study aimed to describe the association of chronotype with healthful and unhealthful plant-based diet quality in female Japanese undergraduate students. Design: Cross-sectional. Participants and setting: A total of 218 female university students in Tokyo, Japan. Main outcome measures: Healthful and unhealthful plant-based dietary index-Japanese version (hPDI-J and uPDIJ), calculated using the validated brief-type self-administered diet history questionnaire. Statistical analyses performed: A five-model stepwise multiple linear regression analysis was conducted. Independent variables were hPDI-J and uPDI-J scores, and dependent variables were various lifestyle habits related to the circadian rhythm and demographic characteristics. Results: Mean (standard deviation) sleep duration, midpoint of sleep, sleep latency time, and social jetlag were 411 (60) min, 03:56 (00:57), 21 (27) min, and 50 (39) min, respectively. Chronotype and several variables, such as residential status, energy and alcohol intake, and nutritional knowledge, were associated with healthful and unhealthful plant-based diet quality. Individuals who had higher hPDI-J scores were more likely to have an earlier chronotype (13 = -0.168, P = 0.019) and better nutritional knowledge (13 = 0.164, P = 0.022) than those with lower hPDI-J scores. Individuals were more likely to have higher uPDI-J scores if they were living alone (13 = -0.301, P < 0.001), had a later chronotype (13 = 0.181, P = 0.001), higher frequency of snacking (13 = 0.164, P = 0.019), lower total energy (13 = -0.445, P < 0.001), and worse nutritional knowledge (13 = -0.172, P = 0.001). Conclusion: This study provided new evidence as to the relationship between sleep and dietary habits, the interaction of which may affect women's health.}, language = {en} } @phdthesis{Egli2021, author = {Egli, Lukas}, title = {Stabilizing agricultural systems through diversity}, doi = {10.25932/publishup-49684}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-496848}, school = {Universit{\"a}t Potsdam}, pages = {VII, 125}, year = {2021}, abstract = {In the light of climate change, rising demands for agricultural products and the intensification and specialization of agricultural systems, ensuring an adequate and reliable supply of food is fundamental for food security. Maintaining diversity and redundancy has been postulated as one generic principle to increase the resilience of agricultural production and other ecosystem services. For example, if one crop fails due to climate instability and extreme events, others can compensate the losses. Crop diversity might be particularly important if different crops show asynchronous production trends. Furthermore, spatial heterogeneity has been suggested to increase stability at larger scales as production losses in some areas can be buffered by surpluses in undisturbed ones. Besides systematically investigating the mechanisms underlying stability, identifying transformative pathways that foster them is important. In my thesis, I aim at answering the following questions: (i) How does yield stability differ between nations, regions and farms, and what is the effect of crop diversity on yield stability in relation to agricultural inputs, climate heterogeneity, climate instability and time at the national, regional or farm level? (ii) Is asynchrony between crops a better predictor of production stability than crop diversity? (iii) What is the effect of asynchrony between and within crops on stability and how is it related to crop diversity and space, respectively? (iv) What is the state of the art and what are knowledge gaps in exploring resilience and its multidimensionality in ecological and social-ecological systems with agent-based models and what are potential ways forward? In the first chapter, I provide the theoretical background for the subsequent analyses. I stress the need to better understand the resilience of social-ecological systems and particularly the stability of agricultural production. Moreover, I introduce diversity and spatial heterogeneity as two prominently discussed resilience mechanisms and describe approaches to assess resilience. In the second chapter, I combined agriculture and climate data at three levels of organization and spatial extents to investigate yield stability patterns and their relation to crop diversity, fertilizer, irrigation, climate heterogeneity and instability and time of nations globally, regions in Europe and farms in Germany using statistical analyses. Yield stability decreased from the national to the farm level. Several nations and regions substantially contributed to larger-scale stability. Crop diversity was positively associated with yield stability across all three levels of organization. This effect was typically more profound at smaller scales and in variable climates. In addition to crop diversity, climate heterogeneity was an important stabilizing mechanism especially at larger scales. These results confirm the stabilizing effect of crop diversity and spatial heterogeneity, yet their importance depends on the scale and agricultural management. Building on the findings of the second chapter, I deepened in the third chapter my research on the effect of crop diversity at the national level. In particular, I tested if asynchrony between crops, i.e. between the temporal production patterns of different crops, better predicts agricultural production stability than crop diversity. The stabilizing effect of asynchrony was multiple times higher than the effect of crop diversity, i.e. asynchrony is one important property that can explain why a higher diversity supports the stability of national food production. Therefore, strategies to stabilize agricultural production through crop diversification also need to account for the asynchrony of the crops considered. The previous chapters suggest that both asynchrony between crops and spatial heterogeneity are important stabilizing mechanisms. In the fourth chapter, I therefore aimed at better understanding the relative importance of asynchrony between and within crops, i.e. between the temporal production patterns of different crops and between the temporal production patterns of different cultivation areas of the same crop. Better understanding their relative importance is important to inform agricultural management decisions, but so far this has been hardly assessed. To address this, I used crop production data to study the effect of asynchrony between and within crops on the stability of agricultural production in regions in Germany and nations in Europe. Both asynchrony between and within crops consistently stabilized agricultural production. Adding crops increased asynchrony between crops, yet this effect levelled off after eight crops in regions in Germany and after four crops in nations in Europe. Combining already ten farms within a region led to high asynchrony within crops, indicating distinct production patters, while this effect was weaker when combining multiple regions within a nation. The results suggest, that both mechanisms need to be considered in agricultural management strategies that strive for more resilient farming systems. The analyses in the foregoing chapters focused at different levels of organization, scales and factors potentially influencing agricultural stability. However, these statistical analyses are restricted by data availability and investigate correlative relationships, thus they cannot provide a mechanistic understanding of the actual processes underlying resilience. In this regard, agent-based models (ABM) are a promising tool. Besides their ability to measure different properties and to integrate multiple situations through extensive manipulation in a fully controlled system, they can capture the emergence of system resilience from individual interactions and feedbacks across different levels of organization. In the fifth chapter, I therefore reviewed the state of the art and potential knowledge gaps in exploring resilience and its multidimensionality in ecological and social-ecological systems with ABMs. Next, I derived recommendations for a more effective use of ABMs in resilience research. The review suggests that the potential of ABMs is not utilized in most models as they typically focus on a single dimension of resilience and are mostly limited to one reference state, disturbance type and scale. Moreover, only few studies explicitly test the ability of different mechanisms to support resilience. To solve real-world problems related to the resilience of complex systems, ABMs need to assess multiple stability properties for different situations and under consideration of the mechanisms that are hypothesized to render a system resilient. In the sixth chapter, I discuss the major conclusions that can be drawn from the previous chapters. Moreover, I showcase the use of simulation models to identify management strategies to enhance asynchrony and thus stability, and the potential of ABMs to identify pathways to implement such strategies. The results of my thesis confirm the stabilizing effect of crop diversity, yet its importance depends on the scale, agricultural management and climate. Moreover, strategies to stabilize agricultural production through crop diversification also need to account for the asynchrony of the crops considered. As spatial heterogeneity and particularly asynchrony within crops strongly enhances stability, integrated management approaches are needed that simultaneously address multiple resilience mechanisms at different levels of organization, scales and time horizons. For example, the simulation suggests that only increasing the number of crops at both the pixel and landscape level avoids trade-offs between asynchrony between and within crops. If their potential is better exploited, agent-based models have the capacity to systematically assess resilience and to identify comprehensive pathways towards resilient farming systems.}, language = {en} }