Results 1-20 of 55.
((uid:50030233))

Bookmark and Share    
Full Text
See detailLa consommation de Cannabis chez les jeunes d’âge scolaire (12-18 ans) au Luxembourg - Résultats de l'enquête HBSC de 2018
Catunda, Carolina UL; Heinz, Andreas UL; Geraets, Anouk UL

Report (2022)

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 ... [more ▼]

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. [less ▲]

Detailed reference viewed: 63 (21 UL)
Full Text
Peer Reviewed
See detailItem response theory and differential test functioning analysis of the HBSC-Symptom-Checklist across 46 countries
Heinz, Andreas UL; Sischka, Philipp UL; Catunda, Carolina UL et al

in BMC Medical Research Methodology (2022), 22(253),

Background The Symptom Checklist (SCL) developed by the Health Behaviour in School-aged Children (HBSC) study is a non-clinical measure of psychosomatic complaints (e.g., headache and feeling low) that ... [more ▼]

Background The Symptom Checklist (SCL) developed by the Health Behaviour in School-aged Children (HBSC) study is a non-clinical measure of psychosomatic complaints (e.g., headache and feeling low) that has been used in numerous studies. Several studies have investigated the psychometric characteristics of this scale; however, some psychometric properties remain unclear, among them especially a) dimensionality, b) adequacy of the Graded Response Model (GRM), and c) measurement invariance across countries. Methods Data from 229,906 adolescents aged 11, 13 and 15 from 46 countries that participated in the 2018 HBSC survey were analyzed. Adolescents were selected using representative sampling and surveyed by questionnaire in the classroom. Dimensionality was investigated using exploratory graph analysis. In addition, we investigated whether the GRM provided an adequate description of the data. Reliability over the latent variable continuum and differential test functioning across countries were also examined. Results Exploratory graph analyses showed that SCL can be considered as one-dimensional in 16 countries. However, a comparison of the unidimensional with a post-hoc bifactor GRM showed that deviation from a hypothesized one-dimensional structure was negligible in most countries. Multigroup invariance analyses supported configural and metric invariance, but not scalar invariance across 32 countries. Alignment analysis showed non-invariance especially for the items irritability, feeling nervous/bad temper and feeling low. Conclusion HBSC-SCL appears to represent a consistent and reliable unidimensional instrument across most countries. This bodes well for population health analyses that rely on this scale as an early indicator of mental health status. [less ▲]

Detailed reference viewed: 41 (8 UL)
Full Text
See detailProblematische Nutzung sozialer Medien von Kindern und Jugendlichen im Schulalter in Luxembourg – Ergebnisse der HBSC Umfrage 2018
Geraets, Anouk UL; van Duin, Claire UL; Catunda, Carolina UL et al

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: 35 (7 UL)
Peer Reviewed
See detailTypes of health-related behaviours: a cluster analysis of the Luxembourgish HBSC data
Heinz, Andreas UL; Willems, Helmut Erich UL; van Duin, Claire UL et al

Scientific Conference (2021, June)

Background: Although it is known that health behaviours, socio-demographic variables and outcomes correlate, it is rarely investigated if there are typical patterns of these variables among the research ... [more ▼]

Background: Although it is known that health behaviours, socio-demographic variables and outcomes correlate, it is rarely investigated if there are typical patterns of these variables among the research subjects. Objectives: To find out whether the students can be divided into distinct groups based on their health behaviour and whether these groups differ in other ways (outcomes and socio-demographics). Method: In step 1, a hierarchical cluster analysis was carried out to determine the number of groups and to identify the cluster centres. In step 2, this information was entered as the initial values of a cluster centre analysis. In step 3, the clusters were characterised using additional variables. Results: The 8065 students surveyed could be divided into 5 distinct groups based on their data on smoking, drinking, soft drinks, exercising, fighting and bullying, with cluster 1 and cluster 5 representing the strongest contrast. Cluster 1 comprises students whose health behaviour is generally positive. It is the largest cluster with 49.5% of students. Cluster 5 comprises students whose behaviour is consistently negative. It is the smallest cluster with 7.1% of students. Students in cluster 2 are close to average on many variables, but their dental health is problematic because they frequently consume soft drinks and rarely brush their teeth. Students in cluster 3 are physically inactive, their mental health is poor, but they are also rarely injured. The students in cluster 4 stand out because of their aggressive behaviour. Conclusion: With the help of cluster analysis, it is possible to categorise the students into a small number of groups based on their health behaviour. These groups are coherent in terms of health behaviour, many outcome variables and socio-demographic variables. [less ▲]

Detailed reference viewed: 85 (21 UL)
Full Text
See detailGesundheit von Schülerinnen und Schülern in Luxemburg - Bericht zur luxemburgischen HBSC-Befragung 2018
Heinz, Andreas UL; Kern, Matthias Robert; van Duin, Claire UL et al

Report (2021)

Der Bericht gibt Auskunft über Gesundheit und Wohlbefinden der Schüler im Jahr 2018 in ihrem sozialen Kontext. Darüber hinaus informiert er, wie sich die entsprechenden Indikatoren von 2006—2018 in ... [more ▼]

Der Bericht gibt Auskunft über Gesundheit und Wohlbefinden der Schüler im Jahr 2018 in ihrem sozialen Kontext. Darüber hinaus informiert er, wie sich die entsprechenden Indikatoren von 2006—2018 in Luxemburg entwickelt haben. Verbesserungen gab es vor allem beim Gesundheitsverhalten — die Schüler rauchen und trinken weniger, sie putzen sich häufiger die Zähne und essen mehr Obst und Gemüse. Verschlechterungen betreffen die mentale Gesundheit: Die Schüler haben häufiger psychosomatische Beschwerden und sie fühlen sich häufiger von der Schularbeit gestresst. Des Weiteren sind die Schüler häufiger übergewichtig und sie sind seltener körperlich aktiv. Der Bericht zeigt auch, dass Gesundheitsrisiken mit soziodemografischen Merkmalen zusammenhängen, wie u. a. dem Geschlecht, dem Alter, dem Wohlstand und dem Migrationshintergrund. So verhalten sich Mädchen zwar häufig gesundheitsbewusster als Jungen, aber dennoch schätzen sie ihren Gesundheitszustand schlechter ein und sie haben mehr Stress und sie sind häufiger von multiplen psychosomatischen Beschwerden betroffen. Aus Clusteranalysen geht hervor, dass es typische Konstellationen von Gesundheitsverhaltensweisen gibt, die zudem mit soziodemografischen Merkmalen sowie Übergewicht, Stress und der Lebenszufriedenheit zusammenhängen. [less ▲]

Detailed reference viewed: 336 (76 UL)
Full Text
Peer Reviewed
See detailWhat is problematic about binary questions on gender in health surveys – a missing answer analysis
Heinz, Andreas UL; Költő, András; Godeau, Emmanuelle et al

in Cogent Medicine (2020, December 04)

Background: In many studies, participants who do not state their gender are excluded from the analysis. This may be appropriate if they do not answer the questionnaire seriously. However, some ... [more ▼]

Background: In many studies, participants who do not state their gender are excluded from the analysis. This may be appropriate if they do not answer the questionnaire seriously. However, some participants may have understandable reasons for not reporting their gender, e.g. questioning their gender identity. Research question: How many students and which students do not answer the question on gender? Methods: We analyzed data of the Health Behaviour in School-aged Children study from Ireland, France, Hungary, Scotland, Belgium (Flemish) and Luxembourg (n = 40,053). To explore the reasons for non-response, we divided the participants into 3 groups: 1. Responders answered both socio- demographic questions (age and gender) 2. age non-responders did not answer the question on age. 3. Gender non-responders answered the question on age, but not the one on gender. Results: 311 out of 40,053 (0.8%) pupils aged 11–18 did not report their gender. About 40% of them did not answer the age question either. However, the other 60% belong to the group of gender non-responders and this group is disadvantaged compared to responders: they report lower self-rated health, more health complaints, less family support and more substance use (alcohol, tobacco, cannabis). 1.9% of pupils did not answer the question about age. These age non-responders answered the questionnaire more selectively overall and skipped more questions. Conclusion: The data suggest that the reasons for age non-response and gender non-response are different. For age non-responders, the fear of de-anonymization seems to be the reason for not indicating their age. Not answering the question on gender is rare. If the participants answered the question on age, but not the question on gender, then the variable gender is missing not at random. The health problems of gender non-responders correspond to the health problems of gender non-conforming adolescents. Thus, the question arises if the group of gender non-responders should be included in the analysis and if the question on gender should be asked differently in the future [less ▲]

Detailed reference viewed: 198 (16 UL)
Peer Reviewed
See detailScanning of questionnaires as a tool to identify difficult questions - lessons learned
Heinz, Andreas UL; van Duin, Claire UL; Catunda, Carolina UL et al

Scientific Conference (2020, November 10)

Background: In 2018, the Luxembourg HBSC team scanned the questionnaires to make the data available faster and to avoid entry errors. Scanning has been shown to be suitable for identifying difficult ... [more ▼]

Background: In 2018, the Luxembourg HBSC team scanned the questionnaires to make the data available faster and to avoid entry errors. Scanning has been shown to be suitable for identifying difficult questions. Objective: The presentation shows which questions were difficult to answer and what the difficulty was. Method: The questionnaires were scanned by student assistants and the data was validated by them if the scanning programme did not detect any errors. If errors occurred (e.g. missing answers or multiple answers), then these questionnaires were checked by HBSC team members. This gave us a systematic overview of which questions were difficult to answer. Results 1. The data from 10000 questionnaires were entered in 6 weeks (half the time needed compared to manual entry in 2014). 2. The MVPA question was frequently the subject of multiple answers. This may indicate that these students use the answer scale as a counting aid. 3. Students who state that they have never smoked in their lives often skip the question about tobacco use in the last month. This behaviour can be explained by Grice's conversational maxims. 4. Behaviours indicating that the answers are not serious (crossed-out questions, crosses outside the boxes, fun answers to open questions) are rare. Conclusions: Scanning is an efficient way to enter many questionnaires in a short time and high quality. Furthermore, it can help to discover difficult questions and to find out what the difficulty is. [less ▲]

Detailed reference viewed: 96 (7 UL)
Full Text
See detailSuicidal Behaviour in Youth in Luxembourg - Findings from the HBSC 2014 Luxembourg Study
Catunda, Carolina UL; van Duin, Claire UL; Heinz, Andreas UL et al

Report (2020)

Suicide is one of the leading causes of death among young people worldwide. In order to prevent suicides, early identification of groups at risk is needed. In the Luxembourgish HBSC study, data on ... [more ▼]

Suicide is one of the leading causes of death among young people worldwide. In order to prevent suicides, early identification of groups at risk is needed. In the Luxembourgish HBSC study, data on suicidal behaviours among adolescents were collected in 2006, 2010 and 2014. These can be used to identify suicide risk factors and to develop comprehensive suicide prevention programs. In Luxembourg, the suicide rate has fluctuated around 15 deaths per 100 000 inhabitants per year, for more than ten years. In the period 2006 – 2016, 20 deaths were registered as suicide in the age group of 10 to 19-year-olds. These suicides represent approximately 19% of all deaths registered in this age group. In the Luxembourgish HBSC study conducted in 2014, 875 adolescents indicated to have contemplated suicide in the last 12 months, which amounts to 15.1% of the adolescents in the study. In the same year, 811 adolescents (14.0%) indicated to have made a suicide plan in the last 12 months, and 448 adolescents (7.7%) to have attempted suicide (at least once) in the last year. In first instance, bivariate logistic regressions analyses were conducted for 24 independent variables with three suicidal behaviours (contemplation of suicide, planning of suicide and suicide attempt) and sadness as dependent variables in order to identify potential risk factors. These risk factors were further tested in multivariate logistic regressions, in order to make a statement about the relevance of these factors for suicidal behaviour of adolescents in Luxembourg, while taking into account the dependence between the risk factors. Results from multivariate logistic regressions indicate that subjective health complaints are the most important risk factor for suicidal behaviour. Adolescents who have recurrent multiple health complaints are at higher risk for suicidal behaviour than adolescents who do not have health complaints. Life satisfaction is the second most important risk factor for suicidal behaviour. Adolescents with lower levels of life satisfaction are at higher risk for suicidal behaviour than adolescents who have higher levels of life satisfaction. Gender-specific analyses show that the risk factors differ between girls and boys for suicidal behaviour. [less ▲]

Detailed reference viewed: 476 (54 UL)
Full Text
See detailTrends from 2006-2018 in Health, Health Behaviour, Health Outcomes and Social Context of Adolescents in Luxembourg
Heinz, Andreas UL; van Duin, Claire UL; Kern, Matthias Robert UL et al

Report (2020)

This report shows how 30 health indicators developed in the four Luxembourg HBSC surveys conducted in 2006, 2010, 2014 and 2018. There were positive trends especially in the health behaviour of the pupils ... [more ▼]

This report shows how 30 health indicators developed in the four Luxembourg HBSC surveys conducted in 2006, 2010, 2014 and 2018. There were positive trends especially in the health behaviour of the pupils: they smoke less and drink less alcohol. They also report more frequently that they brush their teeth regularly, eat more fruit and fewer sweets and consume fewer soft drinks. From 2006-2018, however, there were also deteriorations. For example, more pupils feel stressed from school and rate the climate among classmates worse. In addition, there are more pupils who are overweight and exercise less and more pupils report having psychosomatic health complaints. [less ▲]

Detailed reference viewed: 548 (116 UL)
Full Text
Peer Reviewed
See detailCross-National Time Trends in Adolescent Mental Well-Being From 2002 to 2018 and the Explanatory Role of Schoolwork Pressure
Cosma, Alina; Stevens, Gonneke; Martin, Gina et al

in Journal of Adolescent Health (2020), 66

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 ... [more ▼]

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; meanage ¼ 13.54; standard deviationage ¼ 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. [less ▲]

Detailed reference viewed: 24 (6 UL)
See detailComportement suicidaire des adolescents au Luxembourg
Catunda, Carolina UL

Conference given outside the academic context (2020)

Detailed reference viewed: 49 (3 UL)
Full Text
Peer Reviewed
See detailSuicide Prevention: Using the Number of Health Complaints as an Indirect Alternative for Screening Suicidal Adolescents
Heinz, Andreas UL; Catunda, Carolina UL; van Duin, Claire UL et al

in Journal of Affective Disorders (2020), 260

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 ... [more ▼]

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 = .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. [less ▲]

Detailed reference viewed: 296 (50 UL)
Full Text
Peer Reviewed
See detailPatterns of health related gender inequalities – a cluster analysis of 45 countries
Heinz, Andreas UL; Catunda, Carolina UL; van Duin, Claire UL et al

in Journal of Adolescent Health (2020), 66(6S), 29-39

Purpose: The paper explores gender inequalities between 45 countries across 10 health indicators among adolescents and whether those differences in health correlate with gender inequality in general ... [more ▼]

Purpose: The paper explores gender inequalities between 45 countries across 10 health indicators among adolescents and whether those differences in health correlate with gender inequality in general. Methods: Data from 71,942 students aged 15 years from 45 countries who participated in the 2018 Health Behaviour in School-aged Children survey were analyzed. For this purpose, 10 indicators were selected, representing a broad spectrum of health outcomes. The gender differences in the countries were first presented using odds ratios. Countries with similar risk profiles were grouped together using cluster analyses. For each of the 10 indicators, the correlation with the Gender Inequality Index was examined. Results: The cluster analysis reveals systematic gender inequalities, as the countries can be divided into seven distinct groups with similar gender inequality patterns. For eight of the 10 health indicators, there is a negative correlation with the Gender Inequality Index: the greater the gender equality in a country, the higher the odds that girls feel fat, have low support from families, have low life satisfaction, have multiple health complaints, smoke, drink alcohol, feel school pressure, and are overweight compared with boys. Four indicators show a divergence: the higher the gender equality in a country in general, the larger the differences between boys and girls regarding life satisfaction, school pressure, multiple health complaints, and feeling fat. Conclusions: Countries that are geographically and historically linked are similar in terms of the health risks for boys and girls. The results challenge the assumption that greater gender equality is always associated with greater health equality. [less ▲]

Detailed reference viewed: 103 (22 UL)
See detailActivité sexuelle et contraception chez les adolescents au Luxembourg
Catunda, Carolina UL

Conference given outside the academic context (2019)

Detailed reference viewed: 28 (4 UL)
Peer Reviewed
See detailTrends in cannabis consumption among youth in Luxembourg
Catunda, Carolina UL; van Duin, Claire UL; Heinz, Andreas UL et al

Scientific Conference (2019, September)

Background: Cannabis is the most widely consumed illegal drug worldwide. Among adolescents, cannabis use is a risk factor for cognitive decline, mental illness, social problems, and the use of other ... [more ▼]

Background: Cannabis is the most widely consumed illegal drug worldwide. Among adolescents, cannabis use is a risk factor for cognitive decline, mental illness, social problems, and the use of other psychoactive drugs. The current study presents trends in cannabis consumption among adolescents in Luxembourg. Methods: The Health Behaviour in School Aged Children (HBSC) Study in Luxembourg collected data in 2006, 2010, 2014 and 2018 using a standardized paper-pencil questionnaire. In total, 23,346 secondary schools students aged 11 to 18 years old (M=15.51, SD=1.53) responded to questions on cannabis, tobacco and alcohol consumption (lifetime and the past 30 days). Findings: In general, students who never used cannabis significantly increased over the four HBSC study waves (78%, 81.2%, 81%, 84%), whereas trends are similar for boys (74.5%, 77%, 78.2%, 81.4%), but not for girls (81.5%, 85%, 83.2%, 86.3%). Cannabis use (past 30 days) significantly differ for girls (94.1%, 94.1%, 92.8%, 93.7%), but not in general (91.7%, 92%, 90.9%, 91.7%), neither for boys (89.3%, 90.1%, 88.6%, 89.6%). Discussion: Cannabis lifetime use remains high for both genders. While consumption in the last 30 days remained stable for boys, it increased for girls over the past years. Tailored preventive interventions, based on health psychological models, are essential to educate adolescents about the social-cognitive risks of cannabis use and strengthen their capacities and resilience to resist experimental drug use and social pressure. In a context where legalization policies are discussed in various European countries, e-health approaches, for example, could be widely implemented in a cost-effective manner. [less ▲]

Detailed reference viewed: 213 (9 UL)
Peer Reviewed
See detailCommunication with father and mother differently impacts suicidal behaviour
Catunda, Carolina UL; van Duin, Claire UL; Heinz, Andreas UL et al

Poster (2019, September)

Background: Positive relationships with parents can reduce the risk of suicidal behaviour in adolescents. Previous research has indicated that adolescents who report poor communication with their parents ... [more ▼]

Background: Positive relationships with parents can reduce the risk of suicidal behaviour in adolescents. Previous research has indicated that adolescents who report poor communication with their parents are more likely to display suicidal behaviour. The aim of this study is to find out whether communication with the father or mother is equally important for suicidal behaviour. Methods: A total of 5595 students aged from 12 to 18 years old in secondary school participated in the 2014 HBSC Luxembourg survey. They responded to a questionnaire including, among others: 4 questions regarding sadness, suicide ideation, planning and attempt, and 2 questions about ease of communication with their father and mother. Findings: Adolescents who indicate poorer communication with their mother or father have higher odds for all suicidal behaviours. Poor communication with fathers has a bigger influence on the odds for sadness, whereas poor communication with mothers has a bigger influence on the odds for attempted suicide. Lastly, adolescents who don`t have or don`t see their mother or father are at increased risk for the suicidal behaviours, although the odds are not as high as for those indicating very difficult communication with their parent(s). Discussion: The Luxembourgish findings confirm the results of previous research and go further showing that, as a determinant, communication with mother differs from the communication with father. More studies should confirm these findings and include other variables, such as social support and stress, in order to see their relation with the communication with both parental figures and suicidal behaviours. [less ▲]

Detailed reference viewed: 87 (7 UL)
Peer Reviewed
See detail"Are you a boy or girl?" Who are the non-responders
Heinz, Andreas UL; Catunda, Carolina UL; van Duin, Claire UL et al

Scientific Conference (2019, June 20)

Background: In many studies, participants who do not state their gender are excluded from the analysis. This may be appropriate if they do not answer the questionnaire seriously. However, some ... [more ▼]

Background: In many studies, participants who do not state their gender are excluded from the analysis. This may be appropriate if they do not answer the questionnaire seriously. However, some participants may have understandable reasons for not reporting their gender, e.g. questioning their gender identity. Objective: How many students and which students do not answer the question on gender? Methods: HBSC 2018 raw data from Ireland, Luxembourg, Belgium and France are compared. To explore the reasons for non-response, we divided the participants into 3 groups: 1. Responders answered both sociodemographic questions (age and gender) 2. age non-responders did not answer the question on age. 3. Gender non-responders answered the question on age, but not the one on gender. Results: Between 0.8% (Ireland) and 1.2% (Luxembourg) of participants did not report their gender. About half of them did not answer the age question either. However, the other half belong to the group of gender non-responders and this group is disadvantaged compared to responders: they report lower life satisfaction, lower self-rated health, more health complaints, less peer support and their WHO-5 Well-being score is lower. Not answering the question on gender is rare. If the participants answered the question on age, but not the question on gender, then the variable gender is missing not at random. Implication: The question arises whether the group of gender non-responders should be included in the analysis and whether the question on gender should be asked differently in the future. [less ▲]

Detailed reference viewed: 243 (18 UL)