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Objective:
We examined whether autonomic flexibility to experimentally presented stressors is reduced in somatic symptom disorder (SSD) as this would point to reduced vagal control as a proposed indicator of emotion regulation deficits.
Method:
In this experimental study, the influence of health-related and social stressors on subjective and physiological reactivity was investigated in 29 subjects with SSD without any medical condition SSD(mc−), 33 subjects with SSD with medical condition SSD(mc+) and 32 healthy controls at the age from 18 to 70 years. Self-report and physiological variables were measured before and after/during stressor exposure, using state ratings of symptom intensity, disability, tension and mood, heart rate (HR), and heart rate variability (HRV).
Results:
Overall, the tension increased and the mood worsened after exposure to stressors compared to pre-exposure. Compared to HC, the two SSD groups showed higher symptom intensity, disability, tension and worse mood. The SSD(mc−) group revealed higher HR than HC (p = .012, d = −0.77). Compared to pre-exposure, symptom impairment increased after social stressor exposure in SSD(mc−) (p < .001, d = 1.36). HRV-root mean square of successive differences (RMSSD) only decreased in HC during exposure (p = .003, d = −1.09), not in the SSD groups. The two SSD groups did not differ in their reactivity to stressors.
Conclusion:
HRV in SSD, seems to respond less flexibly to stressors, potentially reflecting overall physiological disturbance through reduced parasympathetic influence on HR. Stress reactivity in SSD(mc−) and SSD(mc+) do not seem to differ.
Auswirkungen des Zinsanstiegs auf das Verhalten von Immobilieninvestoren und Projektentwicklern.
(2024)
Meanwhile, renewable energy sources such as hydropower, solar and wind energy and biomass are increasingly being used to reduce dependence on fossil fuels and thus counteract the ongoing global warming. However, these are also associated with environmental impacts. To that effect, this article takes a closer look at tidal power plants, which are classified as hydroelectric power plants, by conducting a systematic literature review. The results show that the strength and form of the environmental impact depends on the specific location and type of plant. Tidal power plants have an impact on the habitats of marine animals and thus influence their behavior and population. In addition, the operation of tidal power plants changes the sediment distribution, causes a reduction in current velocities and a change in current direction in the surrounding area and leads to a change in wave height. The construction of the power plants is associated with noise, which primarily causes changes in the behavior of some species. Furthermore, the electromagnetic fields generated can also affect marine life. In order to assess the environmental impact of tidal power plants in comparison to other renewable energies, further studies should focus on the environmental impact of the different technologies in relation to the energy yield.
This article discusses the use of artificial intelligence
in the wind energy industry, particularly in addressing
challenges and optimizing the expansion of renewable
energies in Germany. It highlights the application
of artificial intelligence in wind forecasts and yield
predictions, bird detection, wind turbine and farm
design, condition monitoring, and predictive maintenance.
Additionally, it introduces the “WindGISKI”
research project, which aims to use artificial intelligence
to identify new areas for wind turbines. The
project utilizes a neural network to analyze and predict
flight routes, potentially reducing bird mortality.
The document also emphasizes the potential broader
applications of “WindGISKI” in other fields of activity,
such as land use planning and city development.
Overall, it underscores the significant role of artificial
intelligence in addressing challenges in wind energy
and outlines the potential for artificial intelligence
to drive the expansion of renewable energies while
addressing key obstacles.
Wind turbine structures take a major role in the
modern conversion to renewable energy sources and
contribute to the creation of a greener world. In recent
years, the development and installation of wind
turbines have seen rapid growth. However, with the
increasing capacity and size of wind farms worldwide,
there are growing concerns about the safety and reliability
of these installations. Therefore, structural
health monitoring and the detection of damage to
wind turbines have gained considerable importance in
research. Wind turbine blades are particularly susceptible
to various types of damage due to environmental
influences. This article provides an overview of signal
responses, sensors used and non-destructive testing
techniques in the field of damage detection on wind
turbine blades. The intention of the article is to give
an insight into the possibilities of structural health
monitoring and at the same time to point out unsolved
problems in this field.
The preservation of water bodies continuity is fundamental
for aquatic communities, particularly for fish
populations. Various structures impede watercourse
continuity, impacting fish migration and habitat distribution.
Conventional fish passages often fall short
in diverse scenarios, prompting the development of
specialized solutions. This article proposes a criteria
catalog for these special fish passage solutions based
on DWA leaflet DWA-A 509. It discusses the need
for these solutions, presents a selection of specialized
options, and outlines criteria from DWA-M 509, construction
guidelines, and economic perspectives. It
scrutinizes criteria ranging from target fish species to
cost considerations. Three examples, including the
Runserau fish lift, the bristle ramp fish lock, and the
Fishcon sluice, illustrate these specialized solutions,
their functionalities, advantages, and drawbacks. Additionally,
the article compiles criteria from industry
standards and guidelines into a comprehensive evaluation
catalog. The criteria, when applied, assist in the
selection of suitable fish passage solutions based on
specific site conditions and fish species requirements.
This holistic approach aims to optimize fishway selection,
fostering the ecological sustainability of watercourses.
However, this catalog remains dynamic
and open to expansion with evolving research and
practical application, urging further exploration and
validation of these criteria through diverse case studies
and technological advancements in the field.
This study identifies supply options for sustainable urban energy systems, which are robust to external system changes. A multi-criteria optimization model is used to minimize greenhouse gas (GHG) emissions and financial costs of a reference system. Sensitivity analyses examine the impact of changing boundary conditions related to GHG emissions, energy prices, energy demands, and population density. Options that align with both financial and emission reduction and are robust to system changes are called “no-regret” options. Options sensitive to system changes are labeled as “potential-risk” options.
There is a conflict between minimizing GHG emissions and financial costs. In the reference case, the emission-optimized scenario enables a reduction of GHG emissions (-93%), but involves higher costs (+160%) compared to the financially-optimized scenario.
No-regret options include photovoltaic systems, decentralized heat pumps, thermal storages, electricity exchange between sub-systems and with higher-level systems, and reducing energy demands through building insulation, behavioral changes, or the decrease of living space per inhabitant. Potential-risk options include solar thermal systems, natural gas technologies, high-capacity battery storages, and hydrogen for building energy supply.
When energy prices rise, financially-optimized systems approach the least-emission system design. The maximum profitability of natural gas technologies was already reached before the 2022 European energy crisis.
Quantum magnetometry based on optically detected magnetic resonance (ODMR) of nitrogen vacancy centers in diamond nano or microcrystals is a promising technology for sensitive, integrated magnetic-field sensors. Currently, this technology is still cost-intensive and mainly found in research. Here we propose one of the smallest fully integrated quantum sensors to date based on nitrogen vacancy (NV) centers in diamond microcrystals. It is an extremely cost-effective device that integrates a pump light source, photodiode, microwave antenna, filtering and fluorescence detection. Thus, the sensor offers an all-electric interface without the need to adjust or connect optical components. A sensitivity of 28.32nT/Hz−−−√ and a theoretical shot noise limited sensitivity of 2.87 nT/Hz−−−√ is reached. Since only generally available parts were used, the sensor can be easily produced in a small series. The form factor of (6.9 × 3.9 × 15.9) mm3 combined with the integration level is the smallest fully integrated NV-based sensor proposed so far. With a power consumption of around 0.1W, this sensor becomes interesting for a wide range of stationary and handheld systems. This development paves the way for the wide usage of quantum magnetometers in non-laboratory environments and technical applications.
Partizipatives Design (PD) ermöglicht den Einbezug von Nutzer:innen in den Entwicklungsprozess digitaler Technologien im Gesundheitswesen. Der Einsatz von PD birgt jedoch Hürden, da theoretische und methodische Entscheidungen zu treffen sind. Oftmals werden diese in Forschungsarbeiten in der Versorgungsforschung nicht hinreichend dargestellt oder begründet. Dies kann zu einer eingeschränkten Bewertbarkeit und Nachvollziehbarkeit der Ergebnisse führen. Der vorliegende Beitrag thematisiert drei Schwerpunkte: Erstens wird ein Überblick über die wesentlichen theoretischen und methodischen Entscheidungen gegeben, die im Rahmen des PD aus Perspektive der Versorgungsforschung getroffen werden müssen. Zweitens werden die damit einhergehenden Herausforderungen aufgezeigt und drittens Erfordernisse für die zukünftige Anwendung und (Weiter-)Entwicklung des PD in der Versorgungsforschung beschrieben.
Exkursion und Studienprojekt
(2024)
The annual wastewater flow that is treated by public
wastewater treatment plants in Germany amounts
to approx. 10 ∗ 10^9 m3/a and forms an ”artificial” hydropower
potential that can be used for energy generation
or recovery. In the context of this paper, energy
recovery in the outlet of wastewater treatment plants
is examined using the specific example of the water
wheel at the Warendorf central wastewater treatment
plant. The ”artificial” hydropower potential can be
roughly estimated at up to 20 to 105 GWh/a , whereby
this is largely dependent on the hydraulic gradient.
The strong variance results, among other things, from
the findings of the water wheel operation in Warendorf.
The decisive aspect here is the differential factor,
which describes the deviation between the theoretical
and actual energy yield of the water wheel. The
factor includes maintenance work, downtimes and insufficient
inflows, which are associated with a loss of
output. In the case study, the annual energy recovery
amounts to approx. 2 % of the annual electricity consumption
of the wastewater treatment plant and can
be estimated to 23,500 kWh (2022). In the context
of the economic analysis, it can be seen that despite
the ”low” yield, economic operation is possible if the
system is viewed as a long-term investment - payback
period of the example is approx. 14,5 years. The
27-year operation (1996 - 2023) of the water wheel
at the Warendorf central wastewater treatment plant
confirms this and important findings on successful
practical operation can be shown in the context of
this paper.
This document presents a comparative analysis of
horizontal and vertical small wind turbines for urban
areas in three power classes up to 10 kW in different
categories. The main objective was to conduct a market
analysis to assess the marketability of these wind
energy systems. The aim was to make it easier for
potential customers to make a decision. However, due
to the limited availability of data, the project encountered
considerable difficulties. As a result, the study
became a comparative assessment, which led to results
that may not be readily transferable to urban environments,
slightly missing the original objective of the
study. The results underline the difficulties associated
with conducting a comprehensive market analysis in
this sector and highlight the need for an independent
series of tests under specific conditions. The paper
concludes with a plea for future research efforts to
adapt data collection methods to urban conditions in
order to improve the relevance and applicability of
such studies in practice.
The construction and operation of hydropower plants
for energy generation is a major issue in sustainable
energy production. Nevertheless, hydropower plants
have a negative impact on fish populations. It is crucial
to understand the causes and consequences of fish
mortality in hydropower plants in order to find sustainable
solutions that reconcile the need for energy
with the conservation of aquatic ecosystems. This
article examines the fish protection measures that can
be implemented to reduce fish mortality and maintain
ecological balance. Based on the main literature reviewed,
this article mainly refers to Germany in terms
of studies carried out and hydropower plants.
This article analyses the impact of robotics on the
operation and maintenance (O&M) of offshore wind
turbines (OWTs), with a particular emphasis on the
challenges and benefits. As the world’s reliance on
renewable energy, particularly offshore wind, increases
to reduce climate change, the growing number of
OWTs requires effective O&M. Challenges consist
of logistics, accessibility and high costs. The paper
presents the application of climbing robots, unmanned
aerial vehicles and underwater robots to overcome
these challenges.
The combination of multiple robotic platforms, such
as autonomous surface vehicles and autonomous underwater
vehicles, represents a collaborative approach
to O&M. Obstacles include the need for accurate navigation,
building trust between humans and robots,
and research into artificial intelligence.
In conclusion, the integration of robotics in O&M
presents considerable advantages, increasing efficiency,
safety and cost-effectiveness. Further progress and
research into artificial intelligence are crucial in achieving
complete automation, which will transform the
O&M of OWTs.
The pursuit of Offshore Wind Energy (OWE), integral
to the German government’s ambitious renewable
energy goals raises concerns about the environmental
impact of noise emissions on marine life. This paper
delves into the theoretical background of Offshore
Wind Turbine (OWT) noise, exploring its various
phases from the survey to decommission. It examines
the types and causes of noise emissions, their effects
on marine wildlife and potential mitigation measures.
Highlighting the regulatory framework in Germany,
the paper emphasises the need for nuanced approaches
to balance renewable energy objectives with marine
ecosystem preservation.
This review paper provides an initial overview of the
state of the art of common corrosion protection methods
for offshore wind turbines. The functions of the
individual corrosion protection methods and their
interaction are explained. In addition, the specific corrosion
protection of different zones and components
of an offshore wind turbine will be discussed. Finally,
some information is given on current and possible
future developments in this subject area.
This paper outlines the three main areas relevant
to dismantling: the rotor blades, hub and nacelle,
the tower and the foundation. The paper discusses
the dismantling procedures, including the removal of
the top structure, the tower and the foundation, and
evaluates various methods of dismantling the tower,
such as modular dismantling, collapse blasting, folding
blasting, wrecking ball demolition and hydraulic
ram demolition. The assessment of these methods
in practice and the potential challenges and considerations
for future dismantling, particularly as wind
turbine heights increase, are also addressed.
The upscaling of wind turbines has been increasing in
recent years and will continue to play a significant role
in the future, as it allows for the reduction of electricity
generation costs. Various challenges arise when it
comes to upscaling. This article summarizes the technical
challenges associated with upscaling wind turbines
and presenting their problem-solving approaches
and research trends based on other reviews. It was
found that the most frequently cited challenges are
related to individual components, such as rotor blades,
drive train, generator, tower, and noise impact.
For rotor blades, the challenges are increased flexibility,
more aeroelastic vibrations, increased wear,
interferences with radar and transportation difficulties.
Proposed solutions include the use of carbon-fiber
blades, prebending, novel paints, and for transportation,
segmented rotor blades and on-site manufacturing.
In the gearbox, torque increases, leading to
higher weight and susceptibility to errors. As a result,
the trend is moving towards gearless systems with
permanent magnet synchronous generators. Transportation
is the major issue with towers, which can
be resolved with on-site manufacturing. In terms of
noise emission, reducing aerodynamic noise plays the
most significant role.
As Germany aims to increase its utilization of wind
power, the potential threat to bird populations due
to this expansion is a controversial issue. This paper
aims to collect data on the magnitude of bird strikes
on wind turbines, review existing protective measures
and explore innovative solutions. After a thorough
examination of the literature, it was concluded that
although the impact on bird populations is significant,
it may be overemphasized in popular debates. This
statement is not final as further research is necessary
to assess the impact of bird strikes and explore new
solutions. Comprehensive studies on this specific topic
in Germany are limited, which makes a thorough evaluation
challenging. While there are measures in place
to protect species that may be negatively impacted, it
is possible that these measures will not be adequate
for all of them. While several innovative methods
are under examination, progress in testing and implementation
is slow. Lastly, an information problem
was identified. Since the topic is highly politicized
and polarizing, it is crucial to provide the public with
accessible and reliable information on the discussed
themes. This is currently not the case due to a lack
of data and missing information campaigns.
Wind energy plays a major role among renewable
energies. Its expansion is therefore important in order
to achieve the climate targets. Repowering is an
important element in the expansion of wind energy.
On the one hand, it offers a solution for many wind
turbines in Germany that are no longer subsidised due
to their age. On the other hand, modern turbines are
significantly more powerful and enable more efficient
land utilisation. This article provides an overview of
the most important aspects of onshore repowering.
There is a lot to consider when repowering wind turbines.
The legal situation for repowering aims to
be improved through simplified authorisation procedures.
Even though efforts are being made by the
government, there is still room for improvement. The
repowering potential is also dependent on the various
distance regulations to residential buildings in
the federal states. These regulations might also be
improved in the future. Another aspect is the remuneration,
which is now closer to market developments
due to the market premium model. It is also subject
to greater competition as a result of the tendering
process. At the same time, interest rates and turbine
prices have risen, which creates economic challenges
for the operators of future wind farms. Last but not
least, repowering also depends on public acceptance.
This is also to be regulated by law in the future.
Mit der 7. Novelle der MaRisk ist die Notwendigkeit der Berücksichtigung von ESG-Risiken für deutsche Kreditinstitute auch im Kreditprozess angekommen. Um einen Marktüberblick zum aktuellen Umsetzungsstand sowie den geplanten Maßnahmen zur Berücksichtigung von ESG-Risiken im Kreditprozess für Firmenkunden zu erhalten, haben die Autoren zwei umfassende empirische Untersuchungen bei Banken durchgeführt. Als größte Herausforderung bei ESG-Risiken im Kreditprozess haben demnach nahezu alle Institute die Datenerhebung identifiziert. Auswirkungen auf Kreditentscheidungen werden nur von einer Minderheit der Institute (und dann fast immer lediglich in Ausnahmefällen) gesehen. Die Relation von Nutzen und Aufwand wird von den Teilnehmern zudem kontrovers bewertet.
Toward a notation for modeling value driver trees: Classification development and research agenda
(2024)
Working Capital in der Kreditanalyse: Cashflow-Effekte erkennen und Risikosignale identifizieren.
(2024)
This study investigates the role of individual differences in channel choice and switching behavior in a multichannel environment using latent class analysis on data from 1512 customers. Psychographic variables from five domains (risk attitudes, cognitive ability, motivation, personality, and decision-making style) serve as covariates for multichannel customer behavior. We identify six segments that differ significantly on six psychographic variables (readiness to take risks, need for cognition, autotelic and instrumental need for touch, and rational and intuitive decision-making styles). The results advance the theory-building of multichannel customer behavior and present insights for proactively managing customer journeys of distinct segments.
In der 11. Version der Internationalen statistischen Klassifikation der Krankheiten und verwandter Gesundheitsprobleme (ICD-11) findet sich erstmals die Kategorie der Körperbezogenen repetitiven Verhaltensstörungen (engl. „body-focused repetitive behavior disorders“, BFRBDs), die u. a. die Trichotillomanie (TTM) sowie die Skin-Picking-Störung (SPS) enthält und dem Zwangsspektrum zugeordnet ist. Diese Neuerung umfasst sowohl die Neukategorisierung der TTM, die in der ICD-10 noch bei den „abnormen Gewohnheiten und Störungen der Impulskontrolle“ verortet war, als auch die erstmalige Einführung einer eigenständigen Diagnose für die SPS. Trotz beachtlicher Prävalenzen (TTM: 1–2 %; SPS: 1,4–3,1 %) wurden die TTM und die SPS bislang in Fachkreisen wenig beachtet, was sich neben einem hohen Forschungsbedarf – auch in Bezug auf die nosologische Verortung – insbesondere in mangelhaften Versorgungsangeboten widerspiegelt. Bezüglich der Einordnung im Zwangsspektrum ist kritisch anzumerken, dass die Störungsbilder zwar Ähnlichkeiten mit der Zwangsstörung zeigen, aber dennoch fundamentale Unterschiede in Symptomatik, Ätiologie und Behandlung zu beachten sind. In diesem Kontext sollte davon abgesehen werden, TTM und SPS pauschal als Zwangsstörungen zu bezeichnen. Vielmehr sollten die individuellen Besonderheiten der BFRBD, die sich bei Betroffenen durch eine impulshafte, zwanghafte oder auch suchtartige Phänomenologie äußern können, individuell und differenziert analysiert und behandelt werden, um die bestmögliche Versorgung zu gewährleisten. Insgesamt bietet die Einführung der BFRBD-Kategorie mit einer eigenständigen Diagnose für die SPS in der ICD-11 wichtige Chancen zur Verbesserung der Forschungs- und Versorgungslage.
Potential and risks of water reuse in Brandenburg (Germany) – an interdisciplinary case study
(2024)
For Brandenburg, a region in Germany with increasing water shortage and drought events, water reuse can counteract competition scenarios between drinking water supply, agricultural irrigation, and industrial use. Centralized and decentralized sources for reclaimed water are found to potentially substitute 245 or 28% of irrigation water, respectively, in agriculture production in Brandenburg. For such a reuse scenario, the
fate of organic micropollutants is examined for diatrizoate (DZA) and carbamazepine (CBZ). Retention in local sandy soil and transfer into roots and leaves of arugula are analyzed in lysimeter studies and greenhouse pot experiments. Vertical transport was found for DZA and accumulation in or on arugula roots with a root concentration factor of 1,925+34% but a low bioconcentration factor due to intrinsic molecule properties. CBZ was not found to be mobile in the sandy soil but accumulates in arugula roots and leaves by factors of 70+7% and 155+12%, respectively. Further research on potential plant uptake and groundwater enrichment for more substances is highly recommended as well as tertiary wastewater treatment prior to water reuse.
Wastewater generation model to predict impacts of urine separation on wastewater treatment plants
(2024)
Wastewater treatment plants (WWTPs) are under increasing pressure to enhance resource efficiency and reduce emissions into water bodies. The separation of urine within the catchment area may be an alternative to mitigate the need for costly expansions of central WWTPs. While previous investigations assumed a spatially uniform implementation of urine separation across the catchment area, the present study focuses on an adapted stochastic wastewater generation model, which allows the simulation of various wastewater streams (e.g., urine) on a household level. This enables the non-uniform separation of urine across a catchment area. The model is part of a holistic modelling framework to determine the influence of targeted urine separation in catchments on the operation and emissions of central WWTPs, which will be briefly introduced. The wastewater generation model is validated through an extensive sampling and measurement series.
Results based on observed and simulated wastewater quantity and quality for a catchment area of 366 residents for two dry weather days indicate the suitability of the model for wastewater generation and transport modelling. Based on this, four scenarios for urine separation were defined. The results indicate a potential influence of spatial distribution on the peaks of total nitrogen and total phosphorus.
Family firm performance through transformational CEO leadership and familiness-related team forces
(2024)
Purpose. The purpose of this study is to test the role of familiness-related team forces induced by the CEO of family firms. In particular, we report on the effects of the transformational leadership style of CEOs on their respective top-management team (TMT) and firm performance when viewed through a familiness lens.
Design/methodology/approach. Survey measures were taken from a snowballed
sample of 72 CEOs of German family firms as well as from 245 members of their TMTs. We tested the aggregated firm-level data with objective performance indicators of the firms they led.
Findings. Support was obtained for the three hypothesized team-force mediations and the four-path mediation model. The relationship between CEO’s transformational style and
high family-firm performance is found to be serially mediated by TMT cohesion, behavioral integration and efficacy. Together, these three types of collective forces are assumed to be the
familiness effect of a family-member CEO with a transformational leadership style.
Originality. With our model we quantitatively tested familiness-type forces vis-à-vis firm performance. Theoretical and practical implications of these findings are discussed.
Das Spektrum technischer Filter zur Niederschlagswasserbehandlung reicht von kompakten Anlagen im dezentralen Maßstab bis zu zentralen Anlagen mit mehreren Hektar angeschlossener Fläche. Die hier vorgestellten zentralen Systeme werden im Aufstromverfahren durchflossen. Der Zufluss wird dabei durch Sedimentation oder eine Sedimentation-Lamellen-Kombination vorbehandelt. Das Spektrum der eingesetzten Filtersubstrate ermöglicht den Rückhalt feiner Partikel (AFS63) bis hin zu gelösten Stoffen. Die Rückhaltewirkung von technischen Filtern kann sehr hoch sein, allerdings muss der Kompromiss zwischen Wirkung und Wartung gefunden werden. Die Überwachung der Systeme ist durch Bilanzierung der Füllstände vergleichsweise einfach. Erste Ansätze für eine Bemessung der Systeme werden vorgestellt.
KI-basierte Chatbots erlangen zunehmend Bedeutung im Bereich der Beratung und Therapie zur psychischen Gesundheit. Dabei sind Expertensysteme und generative Systeme als technische Grundlagen hinsichtlich der möglichen Effekte zu unterscheiden. Hinsichtlich der sozialen Effekte in der Mensch-Maschine-Interaktion beschreibt und definiert der Beitrag das Phänomen der quasisozialen Beziehung. Besonders relevant sind in diesem Zusammenhang Selbstoffenbarungseffekte, d.h. die Preisgabe persönlicher Informationen, die durch (zugeschriebene) Eigenschaften von Chatbots beeinflusst werden können. In der Beratung zeigt sich das im Teilen von selbstbezogenen Informationen mit einem kommunikativen Gegenüber und führt in Beziehungen zum Aufbau von Nähe. Diskutiert werden Effekte, Chancen und Risiken für die Einordnung des Einsatzes solcher Chatbots in Beratung und Therapie.
Consequences of the consistent exact solution of Einstein{Cartan equation on the time dependence of Hubble parameter are discussed. The torsion leads to a space and time-dependent expansion parameter which results into nontrivial windows of Hubble parameter between diverging behavior.
Only one window shows a period of decreasing followed by increasing time dependence. Provided a known cosmological constant and the present values of Hubble and deceleration parameter this
changing time can be given in the past as well as the ending time of the windows or universe. The comparison with the present experimental data allows to determine all parameters of the model.
Large-scale spatial periodic structures appear. From the metric with torsion outside matter, it is seen that torsion can feign dark matter.
Systematischer Überblick über ausgewählte Regelwerke zur Nachhaltigkeitsberichterstattung (Teil 1)
(2023)
Systematischer Überblick über ausgewählte Regelwerke zur Nachhaltigkeitsberichterstattung (Teil 2)
(2023)
Stress-eating (eating more or more unhealthily in order to accommodate to stress), contributes to the development and maintenance of obesity. The effect of comprehensive weight loss interventions on changes in stress-eating as well as the contributing role of stress-eating on weight reduction has not been examined. The impact of the 8-week intensive phase of the Healthy Lifestyle Community Programme (HLCP, cohort 1) on emotional, external and restrained eating, as expressions of stress-eating was evaluated in a non-randomized controlled trial. Intervention: 14 seminars (twice per week, including practical units), complemented by stress-regulation and cooking workshops and coaching sessions empowering participants to change their behaviour towards a healthy plant-based diet (ad libitum), stress regulation, regular exercise and to focus on social support. Participants were recruited from the general population. In the intervention group, 91 participants (IG; age: 56 ± 10, 77% female) and in the control group, 52 (CG; age: 62 ± 14, 57% female) were enrolled. At baseline, participants of the IG reported higher levels of stress (9.7 ± 5.4 points [P] vs. 7.6 ± 6.2; p < 0.011), and of emotional eating (27.9 ± 9.4 vs. 20.0 ± 7.1; p < 0.001) and external eating (29.1 ± 4.9 vs. 25.5 ± 5.6; p < 0.001) than participants of the CG. Within 8 weeks, in the IG, scores of emotional eating (− 3.5 ± 5.4 P) and external eating significantly decreased (= − 2.0 ± 3.8 P), while restrained eating increased (2.7 ± 5.0 P; p for all < 0.001). Weight change was negatively correlated with change of external eating (R2 = 0.045; CC = − 0.285; p = 0.014), indicating that a greater weight change was associated with a smaller change of external eating. This is the first study to prospectively investigate the role of stress-eating on the weight reduction effect of comprehensive lifestyle interventions. Our data confirm that overweight is associated with EE and external eating and suggest that the HLCP is capable to reduce both, weight and stress-eating.
The construction sector is one of the largest consumers of raw materials and energy, as well as a producer of CO2 in the European Union. To reduce environmental pollution and to preserve raw materials and energy, resource-efficient building elements must be designed. Even if laws demand resource-efficient product design in the building sector, there is no independent evaluation system for the resource efficiency of building elements (e.g., walls, roofs, floors). Such an evaluation should take the whole life cycle into account. The measurement of reusability and recyclability is therefore necessary. This article, therefore, describes the development of an evaluation system for reusability and recyclability to be included in resource efficiency assessment. Existing approaches and the special requirements of the building sector are considered. Finally, a practical example shows that the developed system is suitable for the assessment of reusability and recyclability. It can be used for the comparison of different construction methods or for the comparison of specific designs or products; thus, the evaluation system is helpful for architects as well as for product designers.
Background: Establishing a healthy lifestyle has a great potential to reduce the prevalence of non-communicable diseases (NCDs) and their risk factors. NCDs contribute immensely to the economic costs of the health care system arising from therapy, medication use, and productivity loss.
Aim: The aim of this study was to evaluate the effect of the Healthy Lifestyle Community Program (cohort 2; HLCP-2) on medication use and consequently on medication costs for selected NCDs (diabetes, hypertension, and dyslipidemia).
Methods: Data stem from a 24-month non-randomised, controlled intervention trial aiming to improve risk factors for NCDs. Participants completed questionnaires at six measurement time points assessing medication use, from which costs were calculated. The following medication groups were included in the analysis as NCD medication: glucose-lowering medications (GLM), antihypertensive drugs (AHD) and lipid-lowering drugs (LLD). Statistical tests for inter- and intra-group comparison and multiple regression analysis were performed.
Results: In total, 118 participants (intervention group [IG]: n = 79; control group [CG]: n = 39) were considered. Compared to baseline medication use decreased slightly in the IG and increased in the CG. Costs for NCD medication were significantly lower in the IG than in the CG after 6 (p = 0.004), 12 (p = 0.040), 18 (p = 0.003) and 24 months (p = 0.008). After multiple regression analysis and adjusting for confounders, change of costs differed significantly between the groups in all final models.
Conclusion: The HLCP-2 was able to moderately prevent an increase of medication use and thus reduce costs for medication to treat NCDs with the greatest impact on AHD.
Eine stärkere Berücksichtigung von Nachhaltigkeitsaspekten ist ein erklärtes Ziel der Neuordnung der gastronomischen Berufe. Zudem ist Nachhaltigkeit durch die modernisierte Standardberufsbildposition
„Umweltschutz und Nachhaltigkeit“ curricular verankert. In diesem Beitrag
wird aufgezeigt, wie nachhaltigkeitsbezogene Kompetenzen in der Gastronomie bestimmt werden können. Damit soll eine Orientierung für die Gestaltung von Lehr-Lernprozessen gegeben
werden.
Neben vielen Vorteilen der Videoberatung als Format der Onlineberatung gibt es kritische Aspekte, die in der Entscheidung für oder gegen diese Beratungsform sowie in der konkreten Ausgestaltung der Beratung Beachtung finden sollten. Der Artikel stellt Herausforderungen und Vorteile der Videoberatung aus der Sicht der Inanspruchnehmenden anhand qualitativer Interviews vor.
Pathological Skin Picking (PSP) is an excessive behavior which characterizes Skin Picking Disorder. Individuals repeatedly pick their skin and cause skin lesions, but are unable to control the behavior, which can cause severe distress. Visible self-inflicted skin lesions can additionally affect individuals with PSP due to emerging appearance-related concerns. However, these concerns and their role in PSP have hardly been studied, especially not in comparison with individuals with dermatological conditions and skin-healthy controls.
The present cross-sectional study (n=453, 83.9% female, 15.9% male, 0.2% diverse) aimed at analyzing appearance-related concerns and mental health outcomes between four groups: Individuals with PSP and dermatological conditions (SP/DC; n=83), PSP without dermatological conditions (SP; n=56), dermatological conditions without PSP (DC; n=176) and skin-healthy controls (SH, n=138). We compared questionnaire data on dysmorphic concerns, appearance-based rejection sensitivity, and body dysmorphic symptoms, as well as PSP-symptoms and mental health outcomes (depression, anxiety, and self-esteem) between groups.
The analyses showed a significant multivariate group effect in the appearance-related variables, F(6, 896)=19.92, Wilks’ Λ=0.78, p<.001, and mental health outcomes, F(6, 896)=16.24, Wilks’ Λ=0.81, p<.001. The SP/DC group had the strongest appearance-related concerns and mental health impairments, followed by the SP group, the DC group and the SH group. The SP/DC group and SP group only differed significantly with regard to dysmorphic concerns, but not in other variables. The DC group was less affected but still showed higher dysmorphic concerns and mental health impairments than skin-healthy controls. In contrast to the PSP groups, the other two groups did not exceed clinically relevant cut-off scores.
The present study shows that individuals with PSP exhibit strong appearance-related concerns, regardless of the presence or absence of underlying or comorbid dermatological conditions. These findings shed new light on the importance of appearance-related concerns in skin picking disorder and the role of PSP as a potentially overlooked risk factor in dermatological patients. Therefore, appearance-related concerns should be explicitly addressed in dermatological and psychotherapeutic settings. Future studies should also include longitudinal and experimental analyses to more clearly classify the role of appearance-related concerns in the etiology of PSP and skin picking disorder.
There are numerous food safety aspects that must be taken into consideration by organic food producers and processors to ensure the safety and quality of their products. The application of Hazard Analysis and Critical Control Point (HACCP) principles, together with the implementation of good hygiene practices (GHP), ensures that food safety and process hygiene criteria are met. This study was based on a survey conducted among 316 producers and processors representing the organic food sector in five European countries (Croatia, Estonia, Germany, Italy and Poland). The knowledge and experience of organic food operators with HACCP systems were evaluated. Moreover, their
needs and expectations towards assistance (training, guidance materials) that could improve the level of knowledge and compliance with respective food safety rules and regulations were assessed.
The need for support on a number of issues related to food safety and guidance documents on the application of HACCP principles were also identified. This study provides highlights of the application of HACCP principles, with particular focus on identifying priorities and needs for two types of food operators (food producers and food processors). Although most of the surveyed food operators were confirmed to have basic knowledge regarding the HACCP system, there was a lack of understanding of the system principles. The needs and expectations varied among the studied countries and types of organic operators. Recognition of the full potential of the HACCP system requires assistance, particularly in the preparation of documents and records. Further research is needed to understand the implications of these findings and to identify effective strategies to improve the HACCP knowledge of food operators.
Local and regional energy systems are becoming increasingly entangled. Therefore, models for optimizing these energy systems are becoming more and more complex and the required computing resources (run-time and random access memory usage) are increasing rapidly. The computational requirements can basically be reduced solver-based (mathematical optimization of the solving process) or model-based (simplification of the real-world problem in the model). This paper deals with identifying how the required computational requirements for solving optimization models of multi-energy systems with high spatial resolution change with increasing model complexity and which model-based approaches enable to reduce the requirements with the lowest possible model deviations. A total of 12 temporal model reductions (reduction of the number of modeled time steps), nine techno-spatial model reductions (reduction of possible solutions), and five combined reduction schemes were theoretically analyzed and practically applied to a test case. The improvement in reducing the usage of computational resources and the impact on the quality of the results were quantified by comparing the results with a non-simplified reference case. The results show, that the run-time to solve a model increases quadratically and memory usage increases linearly with increasing model complexity. The application of various model adaption methods have enabled a reduction of the run-time by over 99% and the memory usage by up to 88%. At the same time, however, some of the methods led to significant deviations of the model results. Other methods require a profound prior knowledge and understanding of the investigated energy systems to be applied. In order to reduce the run-time and memory requirements for investment optimization, while maintaining good quality results, we recommend the application of (1) a pre-model that is used to (1a) perform technological pre-selection and (1b) define reasonable technological boundaries, (2) spatial sub-modeling along network nodes, and 3) temporal simplification by only modeling every nth day (temporal slicing), where at least 20% of the original time steps are modeled. Further simplifications such as spatial clustering or larger temporal simplification can further reduce the computational effort, but also result in significant model deviations.
Background
Chronic low-grade inflammation is associated with an increased risk of chronic disease and mortality. The objective of the study was to test the effect of a healthy lifestyle intervention on biomarkers of inflammation (among other risk markers).
Methods
We conducted a non-randomized controlled trial with mostly middle-aged and elderly participants from the general population in rural northwest Germany (intervention: n = 114; control: n = 87). The intervention consisted of a 1-year lifestyle programme focusing on diet (largely plant-based; strongest emphasis), physical activity, stress management, and social support. High-sensitivity C-reactive protein (hs-CRP) was assessed at baseline, 10 weeks, 6 months, and 1 year. Homocysteine (Hcy) was assessed at baseline, 10 weeks, and 1 year. Adiponectin (Apn) was assessed at baseline and 10 weeks. An exploratory analysis of these inflammatory markers assessing the between-group differences with ANCOVA was conducted.
Results
The 1-year trajectory of hs-CRP was significantly lower in the intervention group compared to control (between-group difference: -0.8 (95% CI -1.2, -0.3) mg/l; p = 0.001; adjusted for baseline). The 1-year trajectory of Hcy was non-significantly higher in the intervention compared to control (between-group difference: 0.2 (95% CI -0.3, 0.7) µmol/l; p = 0.439; adjusted for baseline). From baseline to 10 weeks, Apn decreased significantly more in the intervention group compared to control (between-group difference: -1.6 (95% CI -2.7, -0.5) µg/ml; p = 0.004; adjusted for baseline).
Conclusions
Our study shows that healthy lifestyle changes can lower hs-CRP and Apn levels and are unlikely to significantly affect Hcy levels within 1 year.
Trial registration
German Clinical Trials Register (DRKS; reference: DRKS00018775, registered 12 Sept 2019; retrospectively registered; www.drks.de).
Quantum magnetometry based on optically detected magnetic resonance (ODMR) of nitrogen vacancy centers in nano- or micro-diamonds is a promising technology for precise magnetic-field sensors. Here, we propose a new, low-cost and stand-alone sensor setup that employs machine learning on an embedded device, so-called edge machine learning. We train an artificial neural network with data acquired from a continuous-wave ODMR setup and subsequently use this pre-trained network on the sensor device to deduce the magnitude of the magnetic field from recorded ODMR spectra. In our proposed sensor setup, a low-cost and low-power ESP32 microcontroller development board is employed to control data recording and perform inference of the network. In a proof-of-concept study, we show that the setup is capable of measuring magnetic fields with high precision and has the potential to enable robust and accessible sensor applications with a wide measuring range.
Fürther Gespräche: Expertenforum für den Rettungsdienst mit Forderungen an Politik und Gesellschaft
(2023)
Die rettungsdienstliche Versorgung, die Rettungsfachkräfteausbildung und die rechtlichen Vorraussetzungen in Deutschland bieten aktuell keine guten Rahmenbedingungen für die Zukunft. Ein Expertenforum mit deutschlandweiten Akteuren aus Wissenschaft, Bildung und Rettungsdienst diskutierten im Rahmen der Fürther Gespräche die Herausforderungen der Professionalisierung und der Kompetenzentwicklung des Rettungsdienstes und der präklinischen Versorgung in Deutschland. Die zentralen Ergebnisse und Schwerpunktthemen wurden in 7 Thesen zusammengefasst und konkrete Lösungsansätze entwickelt. Das Spannungsfeld umfasst hierbei die Anforderungen und Versorgungsbedarfe, die Prävention und erweiterte Versorgungskomponenten, die Digitalisierungsstrategie, integrierte Leitstellen und vernetzte Gesundheitsdienstleistungen, Personalentwicklung und -bindung sowie Qualifikationsniveaus und Notarztqualifikation.
Despite a broadly shared belief by most organizational members that their own organization’s environmental performance should be improved, they frequently struggle to do so. Securing the required behavioral changes within their organization has frequently been identified as one of the crucial challenges encountered. Hence, there is an urgent need for actionable insights into how to develop and sustain these behavioral change processes. To this end, we systematically reviewed and compared research evidence of how intra-organizational behavior for environmental performance improvements develops over time. This review shows that extensive and long-lasting outcomes are achieved when environmental performance improving activities are advocated, role-modelled and endorsed by top and line managers. Shifts in social norms appear strongly associated with extensive and long-lasting behavioral changes, especially when they are broadly shared and embedded in a pro-environmental organizational culture. Initial evidence points towards the importance of role models throughout the organization in developing such a culture. Pro-environmental behavioral changes may be effectively instigated and sustained by: setting goals; providing instructions; facilitating desired behavior through redesigning organizational practices and procedures; and rewarding achieved outcomes. Furthermore, positive performance feedback catalyzes pro-environmental behavioral changes and employee participation in developing new practices and procedures is strongly associated with long-lasting environmental performance improvements. Heightened awareness of current environmental performance and an increase in specific knowledge of activities for environmental performance improvement appear to predict behavioral change. Initial evidence suggests that positive attitudes towards non-green aspects of improving environmental performance are crucial predictors of long-lasting and extensive pro-environmental behavioral changes.
Die Bedeutung des Einsatzes von Verfahren, die unter dem Begriff der Künstlichen Intelligenz (KI) zusammenzufassen sind, wird sowohl für gesellschaftliche Prozesse als auch den Auftrag an die Soziale Arbeit zunehmend erkannt und diskutiert. Mit diesem Artikel wird ein Beitrag zum Diskurs geleistet, indem vertieft der Bereich der Sprachverarbeitung durch KI, das Natural Language Processing (NLP), in den Blick genommen wird. Verarbeitung natürlicher Sprache ist aufgrund der hohen Bedeutung kommunikativer Prozesse für die Praxis der Sozialen Arbeit von besonderer Relevanz, zugleich wird die Profession der Sozialen Arbeit tangiert. Bezugnehmend auf Staub-Bernasconis Handlungstheorie werden Implikationen und Diskussionspunkte von NLP identifiziert und diskutiert. Zudem werden mögliche Gratifikationen für Klient*innen herausgearbeitet, die sich u. a. aus der Wirkung und sozialen Interaktion ergeben. Hier wird die Media-Equation-Theorie von Nass und Reeves als Erkenntnisfolie herangezogen. Vor diesen Perspektiven ergeben sich sowohl Risiken (u. a. die Gefahr einer modularisierten Herauslösung genuin sozialarbeiterischer Tätigkeit) als auch Chancen (u. a. Teilhabe, niederschwelliger Zugang, Zugriff auf breitere Datenbasis).
Background and objectives: Virtual reality simulation (VRS) can be used to complement experiential learning, as it enables nursing students to further learn and refine nursing skills outside of the clinical setting. However, gathering evidence for its effectiveness as a teaching method in achieving learning outcomes is still ongoing, and thus there is a lack of systematic synthesis. The objective of this systematic literature review is to analyze VRS scenarios with a high level of immersion and their impact on learning outcomes in nursing education.
Methods: A literature search was performed in the MEDLINE, CINAHL, and ERIC databases in November 2022. As a result, fifteen studies were included and analyzed using deductive content analysis.
Results: The studies reported twelve different scenarios for virtual reality simulations with high levels of immersion, the focus of which was on acute critical care, broader nursing processes, neonatal and pediatric care, single nursing interventions, and observation of patients’ symptoms. The associated learning objectives were mainly achieved in the domains of cognition and psychomotor skills.
Conclusions: There are several VRS scenarios that show potential for use in nursing education. The VRS scenarios are effective in improving learning outcomes, particularly those related to knowledge and skills. Overall, the supportive body of evidence gained through this review may help nurse educators in integrating virtual simulations in their curricula. In the future, nursing and adult learning theories should be given greater consideration, and the aspect of affective learning could be included in design and implementation. Moreover, future research could benefit from exploring the long-term effects of learning after using VRS with a high level of immersion to provide valuable evidence for developing VRS teaching methods in nursing.
The generation of bread waste at suppliers and retailers is often linked to the production of surplus bread. This study reports the results of the first direct quantification and economic assessment of surplus bread conducted in Italy, involving a panel of 12 bakeries and their branches located in the Lazio region, which compiled a daily diary for 5 months. They are small-scale bakeries which reflect the typical structure of the Italian businesses in the bakery sector, producing fresh bread and selling it directly to consumers. The surplus bread measured during the study consists of 6,694 kg in total, with an average quantity of 4.83 kg/day per bakery. Studying the three main products (common bread, focaccia bread and bread rolls), the average rate of surplus is respectively 5.88 %, 3.99 % and 5.28 % of the production. The corresponding economic loss represents, on average, 5.44 % of the daily turnover. A set of factors seems to exert highest influence on the generation of surplus, as the range of production, location and number of customers. When surplus bread occurs, in 63 % of the cases it is managed on alternative routes to avoid disposal. Even if detected surplus bread does not necessarily become waste, it indeed represents a big loss for bakeries.
Soziale Organisationen brauchen angesichts der ständigen
Veränderungen von Organisationen und
ihren relevanten Umwelten die Fähigkeit zu Innovationen. Doch Innovationen müssen sich in den Leitplanken der Logik von Sozialer Arbeit entwickeln. Dazu ist die Kompetenz von Szenario-Entwicklung zur Abschätzung möglicher Zukünfte ebenso wichtig, wie ein funktionierende ethischer Kompass (Was wollen wir tun?). Damit lassen sich drei Schlüsselkompetenzen für Soziale Organisationen erkennen, um die Zukunft gleichsam ethisch korrekt und innovativ zu gestalten:
• die Fähigkeit zur belastbaren Szenario-Entwicklung haben
• Innovationsfähigkeit besitzen
• über einen funktionierenden ethischen Kompass verfügen.
In dem Beitrag wird auf die einzelnen Schlüsselkompetenzen eingegangen zur Gestaltung der Zukunft Sozialer Arbeit eingegangen.
The Anterior Fibers of the Superficial MCL and the ACL Restrain Anteromedial Rotatory Instability
(2023)
Introduction
Hip and knee osteoarthritis are associated with functional limitations, pain and restrictions in quality of life and the ability to work. Furthermore, with growing prevalence, osteoarthritis is increasingly causing (in)direct costs. Guidelines recommend exercise therapy and education as primary treatment strategies. Available options for treatment based on physical activity promotion and lifestyle change are often insufficiently provided and used. In addition, the quality of current exercise programmes often does not meet the changing care needs of older people with comorbidities and exercise adherence is a challenge beyond personal physiotherapy. The main objective of this study is to investigate the short- and long-term (cost-)effectiveness of the SmArt-E programme in people with hip and/or knee osteoarthritis in terms of pain and physical functioning compared to usual care.
Methods
This study is designed as a multicentre randomized controlled trial with a target sample size of 330 patients. The intervention is based on the e-Exercise intervention from the Netherlands, consists of a training and education programme and is conducted as a blended care intervention over 12 months. We use an app to support independent training and the development of self-management skills. The primary and secondary hypotheses are that participants in the SmArt-E intervention will have less pain (numerical rating scale) and better physical functioning (Hip Disability and Osteoarthritis Outcome Score, Knee Injury and Osteoarthritis Outcome Score) compared to participants in the usual care group after 12 and 3 months. Other secondary outcomes are based on domains of the Osteoarthritis Research Society International (OARSI). The study will be accompanied by a process evaluation.
Discussion
After a positive evaluation, SmArt-E can be offered in usual care, flexibly addressing different care situations. The desired sustainability and the support of the participants’ behavioural change are initiated via the app through audio-visual contact with their physiotherapists. Furthermore, the app supports the repetition and consolidation of learned training and educational content. For people with osteoarthritis, the new form of care with proven effectiveness can lead to a reduction in underuse and misuse of care as well as contribute to a reduction in (in)direct costs.
Trial registration
German Clinical Trials Register, DRKS00028477. Registered on August 10, 2022.
A sustainability transition (ST) of the agri-food system (AFS) is necessary due to manifold environmental and social exigencies. Scholars widely refer to the multi-level perspective (MLP) in the analysis of those transitions. The fast pace of articles covering AFS transitions, the evolving research on spaces between the three levels, and the consisting unclear conceptualization of MLP levels call for a systematic update on literature utilizing MLP in AFS articles covering ST. As a basis for reporting, this systematic literature review uses the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA). The search was conducted on the database Scopus encompassing the period from 2018 to 2022. After the selection procedure, 58 articles were included in the review. We extracted data based on a combination of a concept-driven and data-driven coding scheme. Qualitative research approaches outweigh and interrelated activities within the AFS are being analyzed, predominantly in the agricultural sectors. The focus lays on ongoing transitions. The concept of sustainability and its direction is considered as given (e.g., through the case lens), without further elaborations. The niche constitutes the most prominent object of study and scholars refer to rather socially innovative activities than technological innovations, providing distinct views on radicality and strategies to breakthrough. A space between niche and regime is being presented, with slightly distinct conceptualisations. Actors from both levels collaborate and exert transformative power. The regime is presented as static but also more vividly evolving views on the regime are demonstrated. The landscape receives the least attention and the focus lays on immaterial characteristics. Combinations of MLP with other frameworks have proven useful, for instance, regarding elaborations on the agency on the landscape level. Generally, an unclear conceptualization of regime and landscape persists, lacking a theoretical elaboration. Further research applying MLP should aim for a deeper examination of its theoretical construct, especially in terms of regime and landscape. More quantitative or mixed-methods research could supplement the current dominating qualitative approaches by testing and validating qualitatively constructed theories and phenomena.
Habits are highly automated behaviors that have received renewed attention in addiction research. The Self-Report Habit Index (SRHI) is a widely used measure of habits. Two cross-sectional online studies aimed at validating a German version of the SRHI to assess two everyday health-risk behaviors: caffeine consumption and smartphone/tablet use. In both studies (N = 1310), the SRHI scales (one adapted for caffeine consumption, one for smartphone/tablet use), as well as corresponding addiction scales and health outcomes (study 1), or established validity measures (study 2), were assessed. Both SRHI scales showed satisfying item characteristics, high internal consistencies (αs > .90), adequate construct validity, and a three-factorial solution with a satisfying model fit (CFI/TLIs > .95, SRMRs ≤ 0.05). Highest correlations emerged between SRHI and addiction scales. The studies show that the German SRHI can be used to validly assess health-risk behaviors. The observed strong correlations of the SRHI scales with addiction scales suggest that (self-reported) habit is indeed an important aspect to consider in addiction research.
Baumrigolen und (Stadt-)Bäume zeichnen sich durch eine multifunktionale Wirkung aus. Bäume prägen das Stadtbild, spenden Schatten und kühlen durch Verdunstung. Der Rigolenkörper speichert Wasser, dass unmittelbar in den Untergrund eingetragen und teilweise auch zur Baumbewässerung verfügbar ist. Darüber hinaus kann die Rigole einen Beitrag zur Überflutungsvorsorge leisten.
This study explores the intriguing relationship between personality traits, self-rated fitness (SRF), and physical activity (PA) variables among German university students (N = 4244) and sheds light on the impact of personality on adherence to PA guidelines. Employing an online cross-sectional study, the short-form of the Big Five Inventory-2 assessed five domains of personality traits (Extraversion, Negative Emotionality, Agreeableness, conscientiousness, and Open-Mindedness). PA, including sitting time, was assessed using the International Physical Activity Questionnaire (short-form). SRF and muscle-strengthening activities (MSA) were assessed with one item each. Multiple linear and logistic regression analyses examined associations of individual personality trait domains and all domains combined with SFR, PA variables, and adherence to PA guidelines, controlling for sociodemographic, behavioral, and (mental) health covariates. Most reliably, Extraversion and Conscientiousness revealed positive associations with PA variables, while Negative Emotionality yielded inverse relationships with PA variables. For instance, each unit increase in Extraversion corresponded to an additional 17 min of weekly MSA. On the contrary, daily sitting time was unrelated to personality. Of note, high Open-Mindedness was associated with lower odds for adhering to current PA guidelines. The findings have implications for developing targeted interventions that promote a physically active lifestyle and support students’ well-being and academic success.