[Epidemiology of mental well-being in childhood and adolescence. Results from three epidemiological studies before and during the COVID-19 pandemic]. / Epidemiologie seelischen Wohlbefindens von Kindern und Jugendlichen in Deutschland. Ergebnisse aus 3 Studien vor und während der COVID-19-Pandemie.

BACKGROUND: Continuous nationwide health monitoring is important to track the well-being of children and adolescents and to map developmental trajectories. Based on the results of three selected epidemiological studies, developments in child well-being over the past 20 years are presented. METHODS: Data are based on (1) the mental health module of the German National Health Interview and Examination Survey among Children and Adolescents (BELLA study, 2003-2017, N = 1500 to 3000), which is a module of the KiGGS study; (2) the COvid-19 and PSYchological Health Study (COPSY, 2020-2022, N = 1600-1700), which is based on the BELLA Study; and (3) the International Health-Behaviour in School-aged Children Study (HBSC, 2002-2018, N = 4300-7300). Well-being was assessed in 7­ to 17-year-olds using indicators of health-related quality of life (KIDSCREEN-10), life satisfaction (Cantril Ladder), and mental health problems (Strenghts and Difficulties Questionnaire (SDQ), Screen for Child Anxiety Related Emotional Disorders (SCARED), and Center for Epidemiological Studies Depression Scale for Children (CES-DC)). RESULTS: Overall, children and adolescents show consistently high health-related quality of life and high overall life satisfaction pre-pandemic (2002-2018), which initially worsened with the onset of the 2020 COVID-19-pandemic. Two years later, improvements are evident but have not yet reached baseline levels. Psychological problems, as well as symptoms of anxiety and depression, increased by up to 12 percentage points at the beginning of the pandemic and are still higher two years after the onset of the pandemic compared to pre-pandemic studies. CONCLUSION: The epidemiology of child well-being provides a necessary data basis to assess the support needs of children and adolescents and to use this as a basis for developing measures of health promotion, prevention, and intervention.

Mental Health Care Use in Children of Parents with Mental Health Problems: Results of the BELLA Study.

Whether parental mental health problems facilitate or hinder the use of mental health care of the parents´ children is still unclear. The present cross sectional study examined mental health care use and potential predictors in a population based sample. Children of parents with mental health problems (CPM) were nearly 5 times more likely to use mental health care compared to children of parents without mental health problems. A multiple regression analysis revealed that the most important predictors of mental health care use for CPM were active family life (OR = 2.67) and children´s own mental health problems (OR = 1.18 self-report, 1.17 parent-report). Additionally, parental strain showed a tendency to predict mental health care use (OR = 2.45). This study demonstrates that parental mental health problems are associated with mental health care use in their children and that improving certain family factors may support children´s mental health care use.

Effect of elevated depressive symptoms during adolescence on health-related quality of life in young adulthood-a six-year cohort study with repeated exposure measurements.

Objectives: Depression is a major contributor of young people's burden of disease. In this study we aim to estimate the effect of elevated depressive symptoms on physical health-related quality of life. Design: We used self-reported information from the prospective BELLA cohort study, which included adolescents selected from the general population in Germany. The baseline assessment (2003-2006) and the 1-, 2-, and 6-year follow-up waves provide the data basis. Participants: The baseline study population consisted of 1,460 adolescents between the ages of 12 and 17 who, according to their caregivers, did not suffer from depression. Variables: The primary outcome, as measured by the physical component score (PCS) of the SF-36 at a 6-year follow-up (range: 0-100), is physical health-related quality of life. The exposure of interest is depressive symptoms, as measured by the Center for Epidemiological Studies Depression Scale for Children (CES-DC) at baseline, 1-year follow-up and 2-year follow-ups (range: 0-60). We dichotomized the exposure into subthreshold (≤15) and elevated depressive symptoms (>15). For the main analyses we considered a cumulative index for elevated depressive symptoms across the three time points (range: 0-3). Considered confounders are sex, age, socioeconomic status, migrant background, social support, anxiety symptoms, physical activity, chronic diseases, and sleeping problems. Statistical methods: We used multiple imputation to account for missing values. Within each imputed dataset, we applied inverse probability weighting (IPW) to estimate the effect of the cumulative index for elevated depressive symptoms at baseline, 1- and 2-year follow-up on physical health-related quality of life at 6-year follow-up. We derived 95% confidence intervals by bootstrapping. Results: After adjusting with IPW, the effect of the cumulative index per one unit increase of elevated depressive symptoms on the physical component score was -1.71 (95% CI: -3.51 to -0.04). The adjusted effect estimates of single exposure of elevated depressive symptoms on physical health-related quality of life were -0.83 (95% CI: -3.69 to 1.87) at baseline, -2.96 (95% CI: -4.94 to -0.52) at 1-year follow-up and -1.32 (95% CI: -3.85 to 1.15) at 2-year follow-up. Conclusion: Findings suggest that elevated depressive symptoms during adolescence decrease physical health-related quality of life in young adulthood.

Pathways of Parental Education on Children's and Adolescent's Body Mass Index: The Mediating Roles of Behavioral and Psychological Factors.

Aim: The increasing body mass index (BMI) often followed by overweight and obesity is a global health problem of the 21st century. Children and adolescents with lower socioeconomic status are more affected than their counterparts. The mechanisms behind these differences must be well understood to develop effective prevention strategies. This analysis aims at examining the association of parental education as an indicator of the socioeconomic status on children's and adolescent's body mass index and the role of behavioral and psychological risk factors for a higher BMI longitudinally. Methods: The analysis was based on a nationwide sample of N = 460 children and adolescents, aged 11 to 17 at baseline (2009-2012), who took part in the representative BELLA study, the mental health module of the German National Health Interview and Examination Survey among Children and Adolescents (KiGGS). A follow-up was conducted 5 years later. Using mediation analyses, the mediating effects of breakfast consumption, consumption of sugar-sweetened beverages, screen time, physical activity, mental health problems (Strengths and Difficulties Questionnaire), and health-related quality of life (KIDSCREEN-10) on the association of parent's years of education on their children's BMI were investigated. Results: A lower level of parental education was significantly associated with a higher BMI in children and adolescents 5 years later. The association was partially mediated by breakfast consumption and total screen time, with breakfast consumption mediating 16.7% and total screen time 27.8% of the association. After controlling for age, gender, and migration status, only breakfast consumption remained a partial mediator (8.5%). Other included variables had no mediating effects. Conclusions: Preventive measures should be mainly targeted at children and adolescents of parents with lower educational levels. Tailored strategies to prevent the development of overweight and obesity in this population among children and adolescents should promote daily breakfast consumption at home and reducing screen time.

Risk and resource factors of antisocial behaviour in children and adolescents: results of the longitudinal BELLA study.

BACKGROUND: Antisocial behaviour is a common phenomenon in childhood and adolescence. Information on psychosocial risk and resource factors for antisocial behaviour are important for planning targeted prevention and early intervention programs. The current study explores risk and resource factors of antisocial behaviour in children and adolescents based on population-based longitudinal data. METHODS: We analysed longitudinal data from the German BELLA study (n = 1145; 11 to 17 year-olds) measured at three measurement points covering two years. Latent growth analysis, linear regression models and structural equation modelling were used to explore cross-sectional and longitudinal data. RESULTS: Based on baseline data, we found that stronger self-efficacy and worse family climate were each related to stronger antisocial behaviour. Longitudinal data revealed that more severe parental mental health problems, worse family climate at baseline, deteriorating family climate over time, and more social support were each associated with increasing antisocial behaviour over time. We further found a moderating effect for family climate. CONCLUSIONS: Our study provides important exploratory results on psychosocial risk, resource and protective factors in the context of antisocial behaviour in children and adolescents, which need confirmation by future research. Our exploratory results point in the direction that family-based interventions for antisocial behavior in children and adolescents may benefit from considering the family climate.

The BELLA study - the mental health module of KIGGS Wave 2.

The BELLA study is the module on mental health and health-related quality of life within the German Health Interview and Examination Survey for Children and Adolescents (KiGGS). Baseline data collection took place together with KiGGS baseline data collection between 2003 and 2006. This article discusses the fourth follow-up of the BELLA study (BELLA Wave 4), which was surveyed between 2014 and 2017. The aims of the BELLA Wave 4 are to enable longitudinal analyses of health-related quality of life and mental health problems. Dynamic measurement instruments were used to enable a user-friendly and precise assessment of mental health among children, adolescents and young adults. The study's participants were a sub-sample of around 3,500 KiGGS respondents aged 7 to 29 years. For the first time, in BELLA Wave 4 data were collected exclusively online. The BELLA study targeted both the parents of younger children (aged 7 to 13 years) and adolescents and young adults themselves (aged 11 years and above). Study instruments surveying mental health problems and the use of mental health care services were supplemented by a dynamic measurement tool in the form of a computer adaptive test (CAT) to record data on health-related quality of life.