TY - GEN A1 - Moor, Irene A1 - Herke, Max A1 - Markert, Jenny A1 - Böhm, Marie A1 - Reiß, Franziska A1 - Bilz, Ludwig A1 - Sudeck, Gorden A1 - Winter, Kristina T1 - Trends in health inequalities in childhood and adolescence in Germany: Results of the HBSC study 2009/10 – 2022 T2 - Journal of Health Monitoring N2 - Background: Many studies have identified health inequalities in childhood and adolescence. However, it is unclear how these have developed in recent years, particularly since the COVID-19 pandemic. Methods: Analyses are based on the German data from the international Health Behaviour in School-aged Children (HBSC) study from 2009/10 (n = 5,005), 2013/14 (n = 5,961), 2017/18 (n = 4,347), and 2022 (n = 6,475). A total of 21,788 students aged approximately between 11 and 15 years were included. Socioeconomic status (SES) was assessed using the Family Affluence Scale (FAS). Several health indicators were analysed stratified by gender using bivariate and multivariate analysis methods. Results: In 2022, there are clear socioeconomic inequalities in life satisfaction, self-rated health, fruit and vegetable consumption, and physical activity. These inequalities remained largely constant or increased between 2009/10 and 2022. Between 2017/18 and 2022, no significant changes in inequalities were found. Conclusions: Health inequalities are persistent and reduce the chances of growing up healthy. There is no evidence that inequalities in the analysed outcomes have changed during the pandemic period (between 2017/18 and 2022). Rather, the changes in the health indicators seem to affect all adolescents in a similar way. KW - Socioeconomic status KW - Self-rated health KW - Nutrition KW - Physical activity KW - Life satisfaction KW - Health equity KW - Children KW - Adolescents KW - Schools KW - HBSC KW - Survey KW - Germany Y1 - 2024 UR - https://www.rki.de/EN/Content/Health_Monitoring/Health_Reporting/GBEDownloadsJ/Focus_en/JHealthMonit_2024_01_Health_Inequalities.pdf U6 - https://doi.org/10.25646/11876 SN - 2511-2708 VL - 9 IS - 1 SP - 79 EP - 98 ER - TY - GEN A1 - Moor, Irene A1 - Herke, Max A1 - Markert, Jenny A1 - Böhm, Marie A1 - Reiß, Franziska A1 - Bilz, Ludwig A1 - Sudeck, Gorden A1 - Winter, Kristina T1 - Die zeitliche Entwicklung gesundheitlicher Ungleichheit im Kindes- und Jugendalter in Deutschland: Ergebnisse der HBSC-Studie 2009/10 – 2022 T2 - Journal of Health Monitoring N2 - Hintergrund: Viele Studien berichten von gesundheitlichen Ungleichheiten im Kindes- und Jugendalter. Unklar ist, wie sich diese in den letzten Jahren, insbesondere vor dem Hintergrund der COVID-19-Pandemie, entwickelt haben. Methode: Die Analysen basieren auf den deutschen Daten der internationalen HBSC-Studie (Health Behaviour in Schoolaged Children) von 2009/10 (n = 5.005), 2013/14 (n = 5.961), 2017/18 (n = 4.347) und 2022 (n = 6.475). Insgesamt wurden 21.788 Schülerinnen und Schüler im Alter von ca. 11 bis 15 Jahren berücksichtigt. Der sozioökonomische Status (SES) wurde mithilfe der Family Affluence Scale (FAS) erhoben. Verschiedene Gesundheitsindikatoren wurden mittels bi- und multivariaten Analysemethoden stratifiziert nach Geschlecht ausgewertet. Ergebnisse: 2022 zeigen sich deutliche sozioökonomische Ungleichheiten in der Lebenszufriedenheit, der subjektiven Gesundheit, im Obst- und Gemüsekonsum sowie im Bewegungsverhalten. Diese Ungleichheiten sind im Zeitverlauf von 2009/10 bis 2022 überwiegend konstant geblieben oder haben sich vergrößert. Zwischen 2017/18 und 2022 sind keine signifikanten Änderungen bezüglich der betrachteten Ungleichheiten zu erkennen. Schlussfolgerungen: Gesundheitliche Ungleichheiten zeigen sich kontinuierlich und reduzieren die Chancen auf ein gesundes Aufwachsen. Es gibt keine Hinweise darauf, dass sich die Ungleichheiten während des Pandemie-Zeitraums (zwischen 2017/18 und 2022) verändert haben. Die Veränderungen in den betrachteten Gesundheitsindikatoren betreffen vielmehr alle Heranwachsende in ähnlicher Weise. Y1 - 2024 U6 - https://doi.org/10.25646/11875 SN - 2511-2708 VL - 9 IS - 1 SP - 86 EP - 107 ER - TY - GEN A1 - Majaura, Marie A1 - Böhm, Christian A1 - Freese, Dirk T1 - The Influence of Trees on Crop Yields in Temperate Zone Alley Cropping Systems: A Review T2 - Sustainability Y1 - 2024 U6 - https://doi.org/10.3390/su16083301 SN - 2071-1050 VL - 16 IS - 8 ER - TY - GEN A1 - Majaura, Marie A1 - Böhm, Christian A1 - Freese, Dirk T1 - Effects of agroforestry systems on microclimate and water availability as determinants for sustainable soil productivity T2 - 4th World Congress on Agroforestry : 20-22 May 2019, Le Corum, Montpellier, France, Book of Abstracts N2 - Recent studies have shown that hedgerows in short rotation alley cropping systems (SRACS) can improve the microclimate in adjacent crop alleys through, e.g., a reduction of daytime temperature, wind speed and evaporation (Kanzler et al. 2018). Improved microclimatic conditions may positively affect crop yields by increasing the availability of water for the crop. However, studies that examine the interdependencies between microclimate changes caused by hedgerows in SRACS, water availability and crop yields are rare. In a poplar SRACS, we investigate with high spatial and temporal resolution if changes in microclimate affect water availability for two crops and crop yields. For this purpose, we use stationary weather stations installed in a transect and mobile sensors in four strips running parallel to the stationary transect at different distances from tree strips (Fig. 1) and in a monoculture. At all measuring points air temperature, air humidity and Piché evaporation will be continuously determined. In addition, wind speed, global radiation and precipitation will be measured at the stationary weather stations. Furthermore, transpiration of crops will be determined at different times close to all microclimate points. Subsequent crop yield sampling will then enable us to determine the degree to which tree strips in ACS influence microclimate and water availability for crops at different distances from tree strips and how these relate to small-scale changes in crop yield. Y1 - 2019 UR - https://agroforestry2019.cirad.fr/replay/book-of-abstracts SP - 669 ER -