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Le cannabis est considéré comme la substance illicite la plus fréquemment consommée dans le monde. Sa consommation est jugée particulièrement dangereuse si elle est fréquente, fortement dosée et commence à l'adolescence. En raison de ses effets nocifs sur la santé et la société, ce rapport a pour objectif d’examiner le nombre de jeunes qui consomment du cannabis au Luxembourg, ainsi que les facteurs sociodémographiques, de risque et de protection associés à cette consommation, afin d'illustrer les possibilités d'interventions promotion de la santé et de prévention de comportement addictifs. Les données présentées proviennent de l'enquête Health Behaviour in School-aged Children - HBSC de 2018. L’analyse porte sur les données de 6 880 jeunes de l‘enseignement secondaire âgés de 12 à 18 ans. Pour répondre à l’objectif, les jeunes ont été répartis en 3 groupes : 1) les jeunes qui n'ont jamais consommé du cannabis ; 2) les jeunes qui ont consommé du cannabis dans leur vie, mais pas au cours des 30 derniers jours (consommation passée) et ; 3) les jeunes qui ont consommé du cannabis au cours des 30 derniers jours (consommation actuelle). Les analyses descriptives montrent que parmi les participants, 82 % n'ont jamais consommé du cannabis, 9 % en ont consommé dans le passé et 9 % en consomment actuellement. À l’aide des analyses de régression logistique multinomiales, le lien entre la consommation de cannabis et une série de variables sociodémographiques, des comportements à risque, le soutien social, le milieu scolaire et la santé et le bien-être a été analysé, afin d'explorer les facteurs sociodémographiques, de risque et de protections associés à la consommation de cannabis. Les seuls facteurs qui restent significatifs pour la consommation de cannabis sont l'âge, le genre, la situation familiale, la consommation de tabac, la consommation d'alcool, la participation à des bagarres, la perception du soutien de la part des parents et des enseignants par les élèves. Toutefois, l'âge et la consommation actuelle de tabac sont les facteurs les plus importants. Ainsi, en ce qui concerne les facteurs sociodémographiques, les garçons, les adolescents les plus âgés et ceux qui ne vivent pas avec leurs deux parents sont plus enclins à faire partie des groupes qui ont consommé du cannabis. L’augmentation des comportements à risque (fréquence plus élevée de consommation de tabac, d'alcool et de participation à des bagarres) se traduit par une plus grande probabilité de consommation de cannabis. De plus, les jeunes qui ont un comportement à risque ont tendance à opter pour d'autres comportements à risque. En revanche, le soutien perçu de la famille et le soutien perçu des enseignants sont des facteurs protégeant de la consommation de cannabis. Ainsi, les élèves qui se sentent soutenus par leurs parents et leurs enseignants sont moins enclins à consommer du cannabis. Il est donc pertinent d'adapter les méthodes de prévention de la consommation de cannabis en fonction de l'âge et du genre, et d’axer les approches de prévention sur ceux qui considèrent sa consommation comme l’un des éléments d'un comportement à risque global plutôt que celles ciblant uniquement cette substance. En effet, les modèles de prévention qui visent à promouvoir un comportement global plus soucieux de la santé semblent être plus efficaces.

Purpose: Previous research has shown inconsistent time trends in adolescent mental well-being, but potential underlying mechanisms for such trends are yet to be examined. This study investigates cross-national time trends in adolescent mental well-being (psychosomatic health complaints and life satisfaction) in mainly European countries and the extent to which time trends in schoolwork pressure explain these trends. Methods: Data from 915,054 adolescents from 36 countries (50.8% girls; mean(age) = 13.54; standard deviation(age) = 1.63) across five Health Behaviour in School-aged Children surveys (2002, 2006, 2010, 2014, and 2018) were included in the analyses. Hierarchical multilevel models estimated cross-national trends in adolescent mental well-being and schoolwork pressure. We also tested whether schoolwork pressure could explain these trends in mental well-being. Results: A small linear increase over time in psychosomatic complaints and schoolwork pressure was found. No change in life satisfaction emerged. Furthermore, there was large cross-country variation in the prevalence of, and trends over time in, adolescent mental well-being and schoolwork pressure. Overall, declines in well-being and increases in schoolwork pressure were apparent in the higher income countries. Across countries, the small increase in schoolwork pressure over time partly explained the decline in psychosomatic health complaints. Conclusions: Our findings do not provide evidence for substantial declines in mental well-being among adolescents. Yet, the small declines in mental well-being and increases in schoolwork pressure appear to be quite consistent across high-income countries. This calls for the attention of public health professionals and policy-makers. Country differences in trends in both adolescent mental well-being outcomes and schoolwork pressure were considerable, which requires caution regarding the cross-national generalization of national trends. (C) 2020 Published by Elsevier Inc. on behalf of Society for Adolescent Health and Medicine. Web of Science 66 6 S58 S50

Issue As suicide is the second leading cause of death for young people, WHO aims to reduce the suicide rate with 10% by 2020 worldwide. In Luxembourg, organization D’Ligue coordinates suicide prevention. Since suicide research has been carried out in the country for a few years only, data on adolescent suicidal ideation is lacking. Therefore, D’Ligue has contacted the Luxembourg team of the international Health Behaviour in School-aged Children (HBSC) study, to identify risk factors for suicide behaviour and derive recommendations from them. Description of the problem First, our practice partner wanted us to provide them with basic data on the suicidal ideation of adolescents: How many adolescents are suicidal and what are risk factors? Second, recommendations for practice should be derived from the results. To this end, the HBSC data (2014) of 5262 pupils aged 12-18 were analysed. Results 15.1% of adolescents thought about suicide last year and 7% attempted suicide. Of the 24 risk factors examined, 12 were found to be significant, with three being particularly important: multiple health complaints (OR: 1.3 for each health complaint, p < 0.001, CI: 1.18 - 1.33), lower life satisfaction (OR: 1.3 for the loss of each life satisfaction point, p < 0.001, CI: 1.17 - 1.33) and frequent physical fighting (OR: 2.4, p < 0.001, CI: 1.57 - 3.74). Lessons Risk factors for suicide behaviour known from research have been confirmed for Luxembourg. What is new is that the number of health complaints is the most important risk factor for Luxembourgish adolescents. Therefore, a list of 8 health complaints was validated as a screening tool for suicidal thoughts. In a further step, this tool could be used, for example, by school nurses. The HBSC data can be used to update the national suicide prevention plan. Main messages HBSC data are used to: update the Luxembourgish national plan for suicide prevention.investigate a screening tool for adolescents at risk for suicide.

Background Suicide is the second leading cause of death in adolescents. Screening for persons at risk usually includes asking about suicidal ideation, which is considered inappropriate in some societies and situations. To avoid directly addressing suicide, this paper investigates whether the Health Behaviour in School-aged Children Symptom Checklist (HBSC-SCL), a validated non-clinical measure of eight subjective health complaints (e.g. headache, feeling low), could be used as a tool for screening suicidal ideation and behavior in adolescents. Methods 5262 secondary school students aged 12–18 answered the Luxembourgish HBSC 2014 survey, including the HBSC-SCL items and suicidal ideation and behavior questions. Results Each HBSC-SCL item correlates with suicidal ideation and behavior. A sum score was calculated ranging from zero to eight health complaints to predict respondents who considered suicide (area under the ROC curve = 0.770). The ideal cut-off for screening students who consider suicide is three or more health complaints: sensitivity is 66.3%, specificity is 75.9% and positive predictive value is 32.9%. Limitations One limitation is HBSC-SCL's low positive predictive value. This is a general problem of screening rare events: the lower the prevalence, the lower the positive predictive value. Sensitivity and specificity could be improved by taking age-, gender- and country-specific cut-off values, but such refinements would make the score calculation more complicated. Conclusions The HBSC-SCL is short, easy to use, with satisfactory screening properties. The checklist can be used when suicide cannot be addressed directly, and also in a more general context, e.g. by school nurses when screening adolescents.

Background Suicide is the second leading cause of death for young people worldwide. A significant amount of suicide attempts is known to be unplanned, but research on unplanned attempts among adolescents is limited. As knowledge on the profile of unplanned suicide attempts is crucial for effective prevention efforts, this study aims to characterize and compare three suicide behaviour profiles among adolescents: planned attempts, unplanned attempts and ideation without attempt. Methods Data from the 2014 Luxembourgish Health Behaviour in School-aged Children study was used. 879 adolescents aged 12 to 18 years old are included in this study. Data was gathered using paper questionnaires. ANOVAs with Games-Howell post-hoc tests were conducted for 18 independent variables, using the suicide behaviour variable as the dependent variable. Results Unplanned attempters report higher levels of parental and classmate support (p < 0.01), fewer health complaints (p < 0.001), higher life satisfaction (p < 0.01) and a more positive body image (p < 0.01) than planned attempters and ideators. Unplanned and planned attempters are younger than ideators (p < 0.01) and report more substance use and physical fighting than ideators (p < 0.01). Conclusions Unplanned attempters report better health (behaviour) and more social support than planned attempters and ideators. Unplanned attempters and planned attempters have higher levels of risk behaviour than ideators. Prevention efforts should be mindful of similarities and differences between the behaviours, and identify and address at risk adolescents accordingly. Key messages Unplanned attempters have better health (behaviour) and more social support than planned attempters and ideators. Results are incorporated in the Luxembourgish national plan for suicide prevention.

International audience; Medical advances contribute to raise life expectancy of people living with HIV/AIDS (PLHIV). However, they still face challenges related to the disease, thus, quality of life (QOL) became a priority on the field. The self-regulatory model (SRM) guided this study. Illness perceptions (IP) are the beliefs, cognitions, representations of a disease, impacting PLHIV coping strategies and QOL. Tenacious goal pursuit (TGP) is the pursuit of goals with determination, flexible goal adjustment (FGA) is doing it with flexibility, disengaging if necessary, they can both be considered as coping strategies. This study aims to measure the impact of HIV Perception in the QOL of PLHIV mediated by the TGP and FGA. Data was collected from 196 PLHIV with the WHOQOL-HIV Bref, the Brief-IPQ and the FGA and TGP scales. Structural equation model provided a good fit consistent with the theoretical SRM. IP, TGP and FGA had direct effects on the QOL of PLHIV. IP had also an indirect effect (partially mediated by TGP/FGA), suggesting that TGP/FGA reduce the impact of a threatening IP in the QOL. Goal oriented interventions should focus in the HIV perception of PLHIV to ameliorate their QOL.

A pesquisa objetivou investigar preditores da qualidade de vida (QV) de pessoas vivendo com HIV/aids (PVHA), baseada no modelo de autorregulação de Leventhal, no qual a influência da percepção da doença na QV é mediada por estratégias de enfrentamento. Foram 95 PVHA a responder aos instrumentos Brief IPQ, Brief Cope e WHOQOL-HIV Bref relativos, respectivamente, à percepção da doença, estratégias de enfrentamento e QV. Os resultados indicaram que a percepção da doença teve efeito direto e indireto na QV, mediado por estratégias de enfrentamento. Maior percepção de ameaça da doença associou-se à pior QV percebida; porém, o uso mais frequente das estratégias aceitação, distração e suporte instrumental e a menor utilização de desengajamento comportamental e de reinterpretação positiva amenizaram esse efeito negativo. This study aims to investigate the quality of life (QOL) predictors of people living with HIV/AIDS (PLWHA), from the perspective of Leventhal’s Self-Regulation Model, in which the influence of the illness perception on QOL is mediated by coping strategies. Ninety-five PLWHA answered to the instruments Brief IPQ, Brief Cope and WHOQOL-HIV BREF concerning, respectively, illness perception, coping strategies and QOL. The results indicate that illness perception has direct and indirect effects in QOL, mediated by coping strategies. The more HIV is perceived as threatening, the worse is the perception of QOL of PLWHA; however, the increased use of acceptance, distraction and instrumental support coping strategies and the less use of behavioral disengagement and positive reinterpretation could mitigate this negative effect.

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.