![]() Residori, Caroline ![]() ![]() ![]() Conference given outside the academic context (2023) Detailed reference viewed: 86 (14 UL)![]() Residori, Caroline ![]() ![]() ![]() Conference given outside the academic context (2023) Detailed reference viewed: 52 (7 UL)![]() Goedert Mendes, Felipe ![]() ![]() ![]() Poster (2023) Purpose: Youth is a key life phase, as the behaviours established during this phase will mostly continue during adult live. Mental health is a state of well-being (WB) in which individuals realize their ... [more ▼] Purpose: Youth is a key life phase, as the behaviours established during this phase will mostly continue during adult live. Mental health is a state of well-being (WB) in which individuals realize their own abilities, can cope with the usual stresses of life, can work productively, and is able to contribute to their community. Physical activity (PA) is associated with the improvement of physical, cognitive, and mental health. This study aimed to analyse adolescents’ state of WB in levels of PA across age, by gender in Luxembourg. Methods: A representative sample of 8117 adolescents (11-to-18-years-old) took part in the Health Behaviour in School Aged Children (HBSC) Luxembourg 2022 survey. WB was measured using the WHO-5 Well-being Index, and levels of PA were determined according to the time spend on and frequency of moderate-vigorous and vigorous PA (Highly active, Active, Low active and Not active). A two-way ANOVA stratified by gender was performed to analyse differences of the WB mean for PA levels and age group. Results: For both girls and boys, those Highly active reported better WB than those Not active, in all age groups (p<0.01, all age groups). For the intermediary levels of PA, different gender and age patterns were observed for the WB. While differences were observed between intermediary levels of PA among young girls, no statistically significant difference in mean WB was observed between intermediary levels of PA for girls aged 17 to 18 (highly active (mean=12.9, CI95%11.4-14.5), active (mean=12.4, CI95%11.8-12.9) and Low active (mean=11.80, CI95%11.3-13.2). In boys, only the age group 15-16 showed a difference between the highly active (mean=15.9, CI95%15.2-16.5) and active (mean=15.2, CI95%14.9-15.6) compared to the Low active (mean=13.3, CI95%12.8-13.9) and not active (mean=12.2, CI95%10.6-13.8). Conclusions: Higher PA level is a protective factor for the WB of adolescents in Luxembourg in all ages. This study reinforces the importance of PA to maintain higher levels of well-being through adolescence in Luxembourg. To increase WB in Luxembourg future actions could be taken in order to reinforce the adherence to PA WHO recommendations in Luxembourg in younger ages and promote any level of PA for older ages. [less ▲] Detailed reference viewed: 51 (7 UL)![]() Schumacher, Anette ![]() ![]() ![]() Speeches/Talks (2022) Detailed reference viewed: 78 (5 UL)![]() Residori, Caroline ![]() ![]() ![]() Conference given outside the academic context (2022) Detailed reference viewed: 56 (10 UL)![]() Geraets, Anouk ![]() ![]() ![]() Report (2022) Insbesondere unter Jugendlichen hat die Nutzung sozialer Medien in den letzten Jahren zugenommen. Wenn die Nutzung Merkmale einer Sucht aufweist (z.B. Gewöhnung und sozialer Rückzug), dann wird von einer ... [more ▼] Insbesondere unter Jugendlichen hat die Nutzung sozialer Medien in den letzten Jahren zugenommen. Wenn die Nutzung Merkmale einer Sucht aufweist (z.B. Gewöhnung und sozialer Rückzug), dann wird von einer problematischen Nutzung sozialer Medien gesprochen – im Folgenden PSMU genannt. Dieser Kurzbericht gibt einen Überblick darüber, wie häufig PSMU unter luxemburgischen Schülern vorkommt und welche Merkmale mit einem höheren Risiko für PSMU einhergehen. Dazu wurden Daten der luxemburgischen Health Behavior in School-aged Children (HBSC)-Studie 2018 ausgewertet, an der 8 687 Jugendliche im Alter von 11 bis 18 Jahren teilnahmen. Laut dieser Umfrage liegt die Häufigkeit von PSMU in dieser Altersgruppe bei 5,9 %. Eine Reihe von Merkmalen aus den Bereichen Soziodemografie, soziale Unterstützung, Wohlbefinden und Mediennutzung wurden als potenzielle Risikofaktoren untersucht. PSMU tritt häufiger bei Mädchen und jüngeren Schülern sowie bei Schülern mit Migrationshintergrund auf. Bei Schülern, die bei beiden Elternteilen aufwachsen, ist PSMU seltener im Vergleich zu Schülern, die bei Alleinerziehenden oder in anderen Familienkonstellationen aufwachsen. Ein Vergleich der Risikofaktoren hat ergeben, dass das Alter, Cybermobbing, Stress, psychosomatische Beschwerden, eine Vorliebe für Online-Interaktion und die Intensität der Kommunikation über elektronische Medien die wichtigsten Risikofaktoren sind. Das Risiko für einen problematischen Umgang mit sozialen Medien ist somit höher bei jüngeren Schülern; Schülern, die andere online mobben; gestressten Schülern; Schülern mit häufigen psychosomatischen Beschwerden; Schülern, die Online-Kommunikation gegenüber einer Kommunikation in der realen Welt vorziehen sowie Schülern, die elektronische Medien generell häufig nutzen. Speziell zur Prävention von PSMU haben sich noch keine Maßnahmen etabliert, aber es gibt gut erforschte Maßnahmen zur Prävention von Internetsucht, die sich in abgewandelter Form möglicherweise auch bei PSMU eignen. [less ▲] Detailed reference viewed: 192 (21 UL)![]() Geraets, Anouk ![]() ![]() ![]() Diverse speeches and writings (2022) Detailed reference viewed: 130 (50 UL)![]() Residori, Caroline ![]() ![]() ![]() Presentation (2022, August 25) Detailed reference viewed: 61 (16 UL)![]() Schomaker, Lea ![]() ![]() Report (2022) Detailed reference viewed: 85 (28 UL)![]() Heinen, Andreas ![]() ![]() ![]() Article for general public (2022) Detailed reference viewed: 79 (21 UL)![]() ; ; et al in Journal of Adolescent Health (2022) Purpose Overweight and obesity are associated with poor mental health in adolescents. However, little is known about whether the influence of overweight and obesity on mental well-being is mediated by ... [more ▼] Purpose Overweight and obesity are associated with poor mental health in adolescents. However, little is known about whether the influence of overweight and obesity on mental well-being is mediated by self-perceived body weight. Exploring the mechanisms underlying the relationships between obesity and mental well-being is of interest to policy makers and others working in the field of adolescent health. Methods 76,998). Mixed regression models that included gender and socioeconomic status as covariates were used to identify associations between weight status and mental well-being (life satisfaction and subjective health complaints) and to explore whether self-perceived body weight (feeling too thin or too fat) has a mediating effect. Associations between weight status, self-perceived weight, and mental well-being were further assessed country by country. Results Self-perceived body weight mediated the observed associations between overweight or obesity and mental well-being. Perceiving one's body weight as “too thin” or “too fat” was associated with poorer mental well-being, regardless of weight status. Self-perceived body weight varied by gender, socioeconomic status, and country. Discussion Self-perceived body weight may explain, to a greater extent than body mass index, variation in mental well-being among adolescents. These results are important to policy makers, clinicians, and others targeting adolescent health. [less ▲] Detailed reference viewed: 94 (31 UL)![]() Schomaker, Lea ![]() ![]() ![]() Report (2021) Detailed reference viewed: 84 (13 UL)![]() Schomaker, Lea ![]() ![]() ![]() Report (2021) Detailed reference viewed: 129 (13 UL)![]() Schomaker, Léa ![]() ![]() ![]() Report (2021) Detailed reference viewed: 63 (7 UL)![]() Schomaker, Léa ![]() ![]() ![]() Report (2021) Detailed reference viewed: 94 (22 UL)![]() Schomaker, Léa ![]() ![]() ![]() Report (2021) Detailed reference viewed: 151 (70 UL)![]() Residori, Caroline ![]() ![]() ![]() Report (2021) This document provides an overview of the empirical basis for the results we present in the report “Young People and Covid-19 II: Evolution 2020 to 2021, Willingness for Vaccination and Effects of the ... [more ▼] This document provides an overview of the empirical basis for the results we present in the report “Young People and Covid-19 II: Evolution 2020 to 2021, Willingness for Vaccination and Effects of the Pandemic1“ (Schomaker et al. 2021). Here, we present in detail the indicators mentioned in the report. Our analyses are based on the preliminary and weighted data of the 2986 participants of the YAC 2021 survey, who completed the questionnaire between the 2nd of August and the 22nd of September 2021. The methodological procedures on which the data is based are described in the next section. The data is marked according to the sections in the report and is organized in tables that provide an overview of the respective frequency distributions in percentage values. The data in this collection is disaggregated by gender, age group, migration status and socioeconomic status. [less ▲] Detailed reference viewed: 146 (67 UL)![]() Residori, Caroline ![]() Conference given outside the academic context (2021) Detailed reference viewed: 114 (20 UL) |
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