TY - GEN A1 - Herr, Raphael A1 - De Bock, Freia A1 - Diehl, Katharina A1 - Wiedemann, Eva A1 - Sterdt, Elena A1 - Blume, Miriam A1 - Hoffmann, Stephanie A1 - Herke, Max A1 - Reuter, Marvin A1 - Iashchenko, Iryna A1 - Schneider, Sven T1 - Associations of individual factors and early childhood education and care (ECEC) centres characteristics with preschoolers’ BMI in Germany T2 - BMC Public Health N2 - Background The number of obese children is rising worldwide. Many studies have investigated single determinants of children’s body mass index (BMI), yet studies measuring determinants at different potential levels of influence are sparse. The aim of this study is to investigate the independent role of parental socioeconomic position (SEP), additional family factors at the micro level, as well as early childhood education and care (ECEC) centre characteristics at the meso level regarding BMI. Methods Analyses used the baseline data of the PReschool INtervention Study (PRINS) including up to 1,151 children from 53 ECEC centres. Multi-level models first estimated the associations of parental SEP indicators (parental school education, vocational training, and household income) with the children’s standard deviation scores for BMI (SDS BMI, standardised for age and gender). Second, structural (number of siblings), psychosocial (strained family relationships), and nutrition behavioural (soft-drink consumption, frequency of fast-food restaurant visits) family factors at the micro level were included. Third, characteristics of the ECEC centre at the meso level in terms of average group size, the ratio of overweight children in the group, ECEC centre type (all-day care), and the location of the ECEC centre (rural vs urban) were included. All analyses were stratified by gender and adjusted for age, migration background, and parental employment status. Results Estimates for boys and girls appeared to differ. In the full model, for boys the parental SEP indicators were not related to SDS BMI. Factors related to SDS BMI in boys were: two or more siblings; B = -.55; p = 0.045 [ref.: no sibling]), the characteristics of the ECEC centre in terms of average group size (20 – 25 children; B = -.54; p = 0.022 [ref.: < 20 children]), and the ratio of overweight children (more overweight children B = -1.39; p < 0.001 [ref.: few overweight children]). For girls the number of siblings (two and more siblings; B = .67; p = 0.027 [ref.: no sibling]) and average group size (> 25 children; B = -.52; p = 0.037 [ref.: < 20 children]) were related to SDS BMI. Conclusions The BMI of preschool children appears to be associated with determinants at the micro and meso level, however with some gender differences. The identified factors at the micro and meso level appear largely modifiable and can inform about possible interventions to reduce obesity in preschool children. KW - BMI KW - Obesity KW - Preschool children KW - ECEC centres KW - Kindergarten KW - Meso level KW - Socioeconomic position Y1 - 2022 UR - https://bmcpublichealth.biomedcentral.com/articles/10.1186/s12889-022-13814-5 U6 - https://doi.org/10.1186/s12889-022-13814-5 SN - 1471-2458 VL - 22 SP - 1 EP - 13 ER - TY - GEN A1 - Matos Fialho, Paula Mayara A1 - Dragano, Nico A1 - Reuter, Marvin A1 - Deindl, Christian A1 - Schleberger, Sarah A1 - Metzendorf, Maria-Inti A1 - Hoffmann, Stephanie A1 - Diehl, Katharina A1 - Wachtler, Benjamin A1 - Schüttig, Wiebke A1 - Herke, Max A1 - Richter, Matthias A1 - Pischke, Claudia R. T1 - School-to-work and school-to-university transition and health inequalities among young adults: a scoping review T2 - BMJ Open N2 - Objectives The main objective was to systematically map evidence regarding the emergence of health inequalities in individuals aged 16–24 years during school-to-work and school-to-university transition (STWT). Second, we aimed to summarise the evidence on potential effects of contextual and compositional characteristics of specific institutional contexts entered during STWT on health and health behaviours. Design Scoping review. Study selection Relevant literature was systematically searched following the methodological framework proposed by Arksey and O’Malley. Ovid MEDLINE and Web of Science, and websites of the International Labour Organization and National Institute for Occupational Safety and Health were searched, using a predetermined search strategy. Articles in English or German published between 1 January 2000 and 3 February 2020 were considered. Data extraction To collect the main information from the selected studies, a data extraction spreadsheet was created. Data were summarised and grouped into five health outcomes and five institutional contexts (school, vocational training, university, work, unemployment). Results A total of 678 articles were screened for inclusion. To be able to draw a picture of the development of various health outcomes over time, we focused on longitudinal studies. Forty-six prospective studies mapping health-related outcomes during STWT were identified. Higher family socioeconomic position (SEP) was associated with higher levels of health behaviour and lower levels of health-damaging behaviour, but there was also some evidence pointing in the opposite direction. Disadvantaged family SEP negatively impacted on mental health and predicted an adverse weight development. There was limited evidence for the outcomes physical/somatic symptoms and self-rated health. Meso-level characteristics of the institutional contexts identified were not systematically assessed, only individual-level factors resulting from an exposure to these contexts, rendering an analysis of effects of contextual and compositional characteristics on health and health behaviours impossible. Conclusions This scoping review demonstrated a wide range of health inequalities during STWT for various health outcomes. However, knowledge on the role of the core institutional contexts regarding the development of health inequalities is limited. KW - School-to-work transition KW - school-to-university transition KW - health inequalities KW - young adults KW - scoping review Y1 - 2022 UR - https://bmjopen.bmj.com/content/12/7/e058273 U6 - https://doi.org/10.1136/bmjopen-2021-058273 SN - 2044-6055 VL - 12 IS - 7 SP - e058273 ER - TY - GEN A1 - Reuter, Marvin A1 - Herke, Max A1 - Richter, Matthias A1 - Diehl, Katharina A1 - Hoffmann, Stephanie A1 - Pischke, Claudia R. A1 - Dragano, Nico T1 - Young people’s health and well-being during the school-to-work transition: a prospective cohort study comparing post-secondary pathways T2 - BMC Public Health N2 - Background: At the end of secondary education, young people can either start vocational training, enter university, directly transition to employment or become unemployed. Research assumes that post-secondary pathways have immediate and/or long-term impacts on health and well-being, but empirical investigations on this are scarce and restricted to few countries. Therefore, this study traced the development of health and well-being throughout the highly institutionalised school-to-work transition (STWT) in Germany. Methods: We used longitudinal data of the National Educational Panel Study (NEPS), a representative sample of 11,098 school-leavers (50.5% girls) repeatedly interviewed between 2011 and 2020. We estimated the effect of post-secondary transitions on self-rated health and subjective well-being by applying fixed-effects (FE) regression, elimi-nating bias resulting from time-constant confounding and self-selection into different pathways. A multiple-sample strategy was used to account for the increasing diversity of STWTs patterns. Models were controlled for age, as well as household and residential changes to minimise temporal heterogeneity. Results: Findings indicate that leaving school was good for health and well-being. Compared with participants who did not find a training position after school, direct transitions to vocational training or university were linked to higher absolute levels of health and well-being, but also to a lower relative decline over time. Furthermore, upward transi-tions (e.g. to programs leading to better education or from unemployment to employment) were associated with improvements in health and well-being, while downward transitions were followed by deteriorations. Conclusion: Findings suggest that school-leave is a sensitive period and that post-secondary pathways provide young people with different abilities to maintain health and well-being. Youth health interventions might benefit when setting a stronger focus on unsuccessful school-leavers. KW - School-to-work transition KW - Institutional context KW - Vocational training KW - Apprenticeship KW - University KW - Prevocational preparation KW - Self-rated health KW - Subjective well-being KW - National Educational Panel Study KW - NEPS Y1 - 2022 U6 - https://doi.org/10.1186/s12889-022-14227-0 SN - 1471-2458 VL - 22 SP - 1 EP - 13 ER - TY - GEN A1 - Rattay, Petra A1 - Blume, Miriam A1 - Spallek, Jacob A1 - Hoffmann, Stephanie A1 - Sander, Lydia A1 - Herr, Raphael A1 - Herke, Max A1 - Reuter, Marvin A1 - Novelli, Anna A1 - Hövener, Claudia T1 - Socioeconomic position and self-rated health among adolescents: the mediating role of the family T2 - European Journal of Public Health N2 - Background Although health inequalities in adolescence are well documented, the underlying mechanisms remain unclear. Few studies have examined the role of the family in explaining adolescents’ health inequalities. The study aimed to explore whether the association between socioeconomic position and self-rated health (SRH) was mediated by familial determinants. Methods Using data from wave 2 of the KiGGS study (1,838 female and 1,718 male 11- to 17-year-olds), linear regression analyses were conducted to decompose the total effects of parents’ education, occupation, income, socioeconomic position index, and adolescents’ subjective social status on SRH into direct effects and indirect effects through familial determinants (family cohesion, parenting styles, parental well-being, stress, obesity, smoking and sporting activity). Results A significant total effect of all socioeconomic position indicators on SRH was found, except for income in male adolescents. In female adolescents, more than 70% of the total effects of each socioeconomic position indicator were explained by familial mediators, whereas no significant direct effects remained. The most important mediator was parental well-being, followed by family cohesion, parental smoking and sporting activity. In male adolescents, the associations of parental education, the socioeconomic position index and subjective social status with SRH were also mediated by familial determinants (family cohesion, parental smoking and obesity). However, a significant direct effect of subjective social status remained. Conclusions The family appears to play an important role in explaining health inequalities, particularly in female adolescents. Reducing health inequalities in adolescence requires policy interventions, community-based strategies, as well as programs to improve parenting and family functioning. KW - Socioeconomic position KW - self-rated health KW - adolescents KW - family Y1 - 2022 UR - https://academic.oup.com/eurpub/article/32/Supplement_3/ckac129.580/6765541?searchresult=1 U6 - https://doi.org/10.1093/eurpub/ckac129.580 SN - 1101-1262 SN - 1464-360X VL - 32 IS - Supplement_3 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 - 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 - Herke, Max A1 - Reuter, Marvin A1 - Mayer, A. A1 - Spallek, Jacob A1 - Rattay, Petra A1 - Moor, Irene A1 - Richter, Matthias T1 - Wie wirkt sich die sozioökonomische Komposition der Schule auf Ungleichheiten im subjektiven Wohlbefinden von Schülerinnen und Schülern in Deutschland aus? T2 - Gesundheitswesen N2 - Einleitung Zielsetzung des Beitrags ist es, zu untersuchen, inwiefern die sozioökonomische Komposition von Schulen mit dem Wohlbefinden von Schülerinnen und Schülern in Deutschland assoziiert ist. Konkret wurden die Assoziationen der Bildung, des Einkommens und des beruflichen Status der Eltern auf Individualebene und aggregiert auf Schulebene sowie die Interaktionen zwischen diesen Ebenen auf das subjektive Wohlbefinden von Schülern der Sekundarstufe I untersucht. Methoden Es wurden Daten der Startkohorte „Klasse 5“ des Nationalen Bildungspanels (NEPS) herangezogen. Die Kohorte startete 2010 mit einer repräsentativen Stichprobe von Fünftklässlern in Deutschland, welche jährlich nachverfolgt wurden. Es wurden Erhebungswellen von der fünften bis zur neunten Klasse zusammengefasst. Damit konnten 14.265 Beobachtungen mit vollständigen Angaben von 3.977 Schülerinnen und Schülern in 218 Schulen in den Analysen berücksichtigt werden. Mit Mixed-Models wurde getestet, ob die sozioökonomische Position auf individueller und/oder schulischer Ebene und die ebenenübergreifende Interaktion dieser Indikatoren mit dem Wohlbefinden (adaptierter Personal Well-Being – School Children-Index) der Jugendlichen assoziiert ist. Es wurde für Alter, Geschlecht, Migrationshintergrund, Familienform, Schultyp und Notendurchschnitt kontrolliert. Ergebnisse Auf individueller Ebene war das elterliche Einkommen mit höherem Wohlbefinden verbunden. Der berufliche Status der Eltern zeigte keine signifikanten Assoziationen. Auf Schulebene fanden wir einen geringen, positiven Zusammenhang zwischen dem durchschnittlichen elterlichen Einkommen und dem individuellen Wohlbefinden, aber auch einen mäßig negativen Einfluss eines hohen Anteils hoch gebildeter Eltern auf das Wohlbefinden. In Sensitivitätsanalysen blieben diese Zusammenhänge auch bei separater Betrachtung dieser Indikatoren bestehen. Die Zusammenhänge auf Individualebene wurden nicht durch die sozioökonomische Komposition von Schulen moderiert, es konnten keine signifikanten ebenenübergreifende Interaktionen festgestellt werden. Schlussfolgerung Es wurde ein Zusammenhang der sozioökonomischen Zusammensetzung der Schule mit dem subjektiven Wohlbefinden der Jugendlichen gefunden. Internationale Befunde einer Moderation der Zusammenhänge auf individueller Ebene durch sozioökonomische Charakteristika auf Schulebene konnten jedoch nicht repliziert werden. Die Zusammenhänge zwischen individueller SEP und Wohlbefinden variieren somit nicht in Abhängigkeit von der SEP auf Schulebene. Es zeigen sich vielmehr in Teilen additive Effekte für die individuelle und schulische SEP. KW - sozioökonomische Komposition KW - Schule KW - subjektives Wohlbefinden KW - Ungleichheit Y1 - 2022 UR - https://www.thieme-connect.de/products/ejournals/abstract/10.1055/s-0042-1753867 U6 - https://doi.org/10.1055/s-0042-1753867 VL - 84 IS - 08/09 SP - 826 PB - Georg Thieme Verlag ER -