Dual factor model of adolescent mental: profiles of school-aged children in Luxembourg

Scientific Conference (2023)

Background The Dual Factor Model (DFM) of mental health takes in account the psychopathology symptoms, but also the positive affects of well-being, in order to have a comprehensive view of mental health ... [more ▼]

Background The Dual Factor Model (DFM) of mental health takes in account the psychopathology symptoms, but also the positive affects of well-being, in order to have a comprehensive view of mental health. Objective Explore the profiles of the well-being and mental health, based on the DFM, and the factors associated to it, during adolescence in Luxembourg. Method The study is based on the 2022 HBSC survey. It comprehends 7201 adolescents from 11 to 18-years old, that attended schools in Luxembourg with national curriculum. Based on DFM and according to subjective well-being (WHO-5 Index) and anxiety symptomatology (GAD-2), the sample was divided in 4 groups: 1. complete mental health; 2. incomplete mental health; 3. incomplete mental illness; 4. complete mental illness. It was performed descriptive and bivariate analysis based on a selection of sociodemographic, physical and social variables. Results Results show that most of the adolescents have Complete mental health (49.5%), followed by 21.9% of Complete mental illness (Incomplete mental health 16.3%; Incomplete mental illness 12.2%). Each group has different characteristics. For instance, Complete mental illness is characterized by girls, adolescents with fair/poor perceived health, frequent multiple health complaints, who rarely practice vigorous physical activity, who report low/medium support from teacher, low support from family and often feel lonely. Conclusion The four profiles vary according to the influence of well-being on mental health. Interventions and prevent strategies should focus on girls and physical and social dimensions of adolescents’ life. [less ▲]

Comparison of well-being perception between physical activity levels according with age in Luxembourg: Health Behavior in School-aged Children survey 2022

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 ▲]