TY - JOUR A1 - Müller, Christina A1 - Domokos, Bruno A1 - Amersbach, Tanja A1 - Hausmayer, Eva-Maria A1 - Roßmann, Christin A1 - Wallmann-Sperlich, Birgit A1 - Bucksch, Jens T1 - Development and reliability testing of an audit toolbox for the assessment of the physical activity friendliness of urban and rural environments in Germany JF - Frontiers in Public Health N2 - Background: According to socio-ecological theories, physical activity behaviors are linked to the physical and social neighborhood environment. Reliable and contextually adapted instruments are needed to assess environmental characteristics related to physical activity. This work aims to develop an audit toolbox adapted to the German context, to urban and rural settings, for different population groups, and different types of physical activity; and to evaluate its inter-rater reliability. Methods: We conducted a systematic literature search to collect existing audit tools and to identify the latest evidence of environmental factors influencing physical activity in general, as well as in German populations. The results guided the construction of a category system for the toolbox. Items were assigned to the categories based on their relevance to physical activity and to the German context as well as their comprehensibility. We piloted the toolbox in different urban and rural areas (100 street segments, 15 parks, and 21 playgrounds) and calculated inter-rater reliability by Cohen's Kappa. Results: The audit toolbox comprises a basic streetscape audit with seven categories (land use and destinations, traffic safety, pedestrian infrastructure, cycling infrastructure, attractiveness, social environment, and subjective assessment), as well as supplementary tools for children and adolescents, seniors and people with impaired mobility, parks and public open spaces, playgrounds, and rural areas. 76 % of all included items had moderate, substantial, or almost perfect inter-rater reliability (κ > 0.4). Conclusions: The audit toolbox is an innovative and reliable instrument for the assessment of the physical activity friendliness of urban and rural environments in Germany. KW - built environment KW - physical activity KW - reliability KW - rural KW - urban KW - walkability Y1 - 2023 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-326116 SN - 2296-2565 VL - 11 ER - TY - JOUR A1 - Müller, Christina A1 - Paulsen, Lisa A1 - Bucksch, Jens A1 - Wallmann-Sperlich, Birgit T1 - Bewegungs- und Gesundheitsförderung in ländlichen und städtischen Kommunen – eine qualitative Analyse zu den Rollen potenzieller Multiplikator*innen JF - Prävention und Gesundheitsförderung N2 - Hintergrund Kommunale Bewegungsförderung kann zur Vermeidung lebensstilbedingter Erkrankungen beitragen, ist aber keine kommunale Pflichtaufgabe, weshalb es in der Regel keine klaren Zuständigkeiten dafür gibt. Um zu verstehen, wie kommunale Bewegungsförderung in Deutschland vorangebracht werden kann, ist es wichtig, potenzielle Multiplikator*innen in städtischen und ländlichen Kommunen zu identifizieren und deren Rollen zu charakterisieren. Methodische Vorgehensweise Es wurden 18 potenzielle Multiplikator*innen der kommunalen Gesundheits- und Bewegungsförderung auf verschiedenen Ebenen (Bundesland, Landkreis/Stadt, Gemeinde/Stadtteil) in leitfadengestützten semistrukturierten Interviews zu ihrer eigenen Rolle sowie zu ihrer Wahrnehmung der Rollen anderer Akteur*innen befragt. Die Auswertung erfolgte gemäß der inhaltlich-strukturierenden Inhaltsanalyse nach Kuckartz. Ergebnisse (Landes‑)Gesundheitsämter und Gesundheitskonferenzen nehmen eine beratende, vernetzende und fachlich unterstützende Rolle ein. Auf der Umsetzungsebene vor Ort müssen sich im Einzelfall Kümmer*innen finden, die in Stadt und Land unterschiedlich sein können. Die befragten Quartiermanager*innen sehen ihre primäre Rolle in der Arbeit mit den Bürger*innen, die Verwaltungsmitarbeiter*innen in der administrativen Abwicklung von Projekten. Schlussfolgerung Fachliche Impulse zur kommunalen Bewegungsförderung können über Landesgesundheitsämter an Akteur*innen in Landkreisen und Städten weitergegeben werden. Für die Multiplikation und Umsetzung in einzelnen Gemeinden und Stadtteilen müssen Verantwortliche vor Ort gefunden werden bzw. Strukturen aufgebaut werden. N2 - Background Community-based physical activity promotion can contribute to the prevention of lifestyle-related diseases. However, it is not obligatory and, hence, there are no clear responsibilities at the municipal level. In order to understand how community-based physical activity promotion can be advanced in Germany, it is necessary to identify potential stakeholders in urban and rural municipalities and characterize their roles. Methods Using guided semi-structured interviews, we asked 18 potential stakeholders at different levels (federal state, county/city, neighborhood/community) about their own roles and their perception of the roles of other stakeholders. The interviews were analyzed in a qualitative text analysis according to Kuckartz. Results Health authorities at the state and county level have an advising, networking, and professionally supporting role. At the local level, individuals who will implement the activities must be found. These can be different in rural and urban communities. The neighborhood managers interviewed primarily work with the residents, while the administrative staff is responsible for the administration of projects. Conclusions Health authorities at the state and county levels can promote community-based physical activity via professional input. For the multiplication and implementation in neighborhoods and communities, persons who take local responsibility must be found or structures must be established. T2 - Physical activity and health promotion in rural and urban communities — qualitative analysis of the roles of potential stakeholders KW - Bewegungsförderung KW - Gemeinde KW - Stakeholder KW - Strukturen KW - Akteure KW - physical activity promotion KW - municipality KW - urban KW - structures KW - rural Y1 - 2023 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-325039 SN - 1861-6755 VL - 18 IS - 3 ER - TY - JOUR A1 - Dhillon, Maninder Singh A1 - Dahms, Thorsten A1 - Kübert-Flock, Carina A1 - Steffan-Dewenter, Ingolf A1 - Zhang, Jie A1 - Ullmann, Tobias T1 - Spatiotemporal Fusion Modelling Using STARFM: Examples of Landsat 8 and Sentinel-2 NDVI in Bavaria JF - Remote Sensing N2 - The increasing availability and variety of global satellite products provide a new level of data with different spatial, temporal, and spectral resolutions; however, identifying the most suited resolution for a specific application consumes increasingly more time and computation effort. The region’s cloud coverage additionally influences the choice of the best trade-off between spatial and temporal resolution, and different pixel sizes of remote sensing (RS) data may hinder the accurate monitoring of different land cover (LC) classes such as agriculture, forest, grassland, water, urban, and natural-seminatural. To investigate the importance of RS data for these LC classes, the present study fuses NDVIs of two high spatial resolution data (high pair) (Landsat (30 m, 16 days; L) and Sentinel-2 (10 m, 5–6 days; S), with four low spatial resolution data (low pair) (MOD13Q1 (250 m, 16 days), MCD43A4 (500 m, one day), MOD09GQ (250 m, one-day), and MOD09Q1 (250 m, eight day)) using the spatial and temporal adaptive reflectance fusion model (STARFM), which fills regions’ cloud or shadow gaps without losing spatial information. These eight synthetic NDVI STARFM products (2: high pair multiply 4: low pair) offer a spatial resolution of 10 or 30 m and temporal resolution of 1, 8, or 16 days for the entire state of Bavaria (Germany) in 2019. Due to their higher revisit frequency and more cloud and shadow-free scenes (S = 13, L = 9), Sentinel-2 (overall R\(^2\) = 0.71, and RMSE = 0.11) synthetic NDVI products provide more accurate results than Landsat (overall R\(^2\) = 0.61, and RMSE = 0.13). Likewise, for the agriculture class, synthetic products obtained using Sentinel-2 resulted in higher accuracy than Landsat except for L-MOD13Q1 (R\(^2\) = 0.62, RMSE = 0.11), resulting in similar accuracy preciseness as S-MOD13Q1 (R\(^2\) = 0.68, RMSE = 0.13). Similarly, comparing L-MOD13Q1 (R\(^2\) = 0.60, RMSE = 0.05) and S-MOD13Q1 (R\(^2\) = 0.52, RMSE = 0.09) for the forest class, the former resulted in higher accuracy and precision than the latter. Conclusively, both L-MOD13Q1 and S-MOD13Q1 are suitable for agricultural and forest monitoring; however, the spatial resolution of 30 m and low storage capacity makes L-MOD13Q1 more prominent and faster than that of S-MOD13Q1 with the 10-m spatial resolution. KW - Landsat KW - Sentinel-2 KW - NDVI KW - fusion KW - agriculture KW - grassland KW - forest KW - urban KW - water Y1 - 2022 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-323471 SN - 2072-4292 VL - 14 IS - 3 ER -