The COVID-19 pandemic has caused unprecedented changes in the lives of 1.6 billion children and adolescents. First non-representative studies from China, India, Brazil, the US, Spain, Italy, and Germany pointed to a negative mental health impact. The current study is the first nationwide representative study to investigate the impact of the COVID-19 pandemic on health-related quality of life (HRQoL) and mental health of children and adolescents in Germany from the perspective of children themselves. A representative online survey was conducted among n = 1586 families with 7- to 17-year-old children and adolescents between May 26 and June 10. The survey included internationally established and validated instruments for measuring HRQoL (KIDSCREEN-10), mental health problems (SDQ), anxiety (SCARED), and depression (CES-DC). Results were compared with data from the nationwide, longitudinal, representative BELLA cohort study (n = 1556) conducted in Germany before the pandemic. Two-thirds of the children and adolescents reported being highly burdened by the COVID-19 pandemic. They experienced significantly lower HRQoL (40.2% vs. 15.3%), more mental health problems (17.8% vs. 9.9%) and higher anxiety levels (24.1% vs. 14.9%) than before the pandemic. Children with low socioeconomic status, migration background and limited living space were affected significantly more. Health promotion and prevention strategies need to be implemented to maintain children’s and adolescents’ mental health, improve their HRQoL, and mitigate the burden caused by COVID-19, particularly for children who are most at risk.
Background The COVID-19 pandemic has disrupted the lives of children and adolescents worldwide. The German COPSY study is among the first population-based longitudinal studies to examine the mental health impact of the pandemic. The objective of the study was to assess changes in health-related quality of life (HRQoL) and mental health in children and adolescents and to identify the associated risk and resource factors during the pandemic. Methods A nationwide longitudinal survey was conducted with two waves during the pandemic (May/June 2020 and December 2020/January 2021). In total, n = 1923 children and adolescents aged 7 to 17 years and their parents participated (retention rate from wave 1 to wave 2: 85%). The self-report and parent-proxy surveys assessed HRQoL (KIDSCREEN-10), mental health problems (SDQ with the subscales emotional problems, conduct problems, hyperactivity, and peer problems), anxiety (SCARED), depressive symptoms (CES-DC, PHQ-2) and psychosomatic complaints (HBSC-SCL). Mixed model panel regression analyses were conducted to examine longitudinal changes in mental health and to identify risk and resource factors. Results The HRQoL of children and adolescents decreased during the pandemic, and emotional problems, peer-related mental health problems, anxiety, depressive and psychosomatic symptoms increased over time, however the change in global mental health problems from wave 1 to wave 2 was not significant, and some changes were negligible. Socially disadvantaged children and children of mentally burdened parents were at particular risk of impaired mental health, while female gender and older age were associated with fewer mental health problems. A positive family climate and social support supported the mental health of children and adolescents during the pandemic. Discussion Health promotion, prevention and intervention strategies could support children and adolescents in coping with the pandemic and protect and maintain their mental health.
OBJECTIVE: Treating obesity concerns not only medical concomitants and future complications but also quality of life. The study was planned to investigate the effect of obesity and obesity treatment on quality of life in children. DESIGN: In the study presented, quality of life as well as psychosocial, clinical, sociodemographic and family related information was obtained from both children and their parents, at four time points by questionnaires: (1) Prior to in-patient rehabilitation (at home); (2) at the end of the in-patient rehabilitation (in clinics); (3) three months after admission into rehabilitation clinics; and (4) twelve months after admission into rehabilitation clinics. MEASUREMENT: Quality of life (QoL) was assessed in children using the revised German KINDL R quality of life questionnaire, a 24 item instrument yielding six dimensions and a total score as well as a chronic generic and an obesity module. Psychosocial determinants included assessments of stress, emotional support, coping and internal locus of control as well as expectations and motivations with regard to the rehabilitation programme. SUBJECTS: Seven large German in-patient rehabilitation clinics participated in the study in which 1019 children participated. These children were suffering from obesity (n ¼ 584) or asthma=atopic dermatitis (n ¼ 330) or both (n ¼ 105). RESULTS: Children as well as parents did not differ across the diagnostic groups in sociodemographic and general clinical variables. QoL in children was dependent on age and gender with increased age over 13 y and female gender being associated with lower self reported QoL. Differences between diagnostic groups were significant, indicating higher impairments in QoL in children with obesity. Multiple regression analysis showed that stress level, coping, as well as lack of emotional support and poor global health explained 37% of the variance of the KINDL R total score at the first measure point in the obesity group. Predicting QoL at the end of rehabilitation from data collected at the beginning of the study, psychosocial variables explained 28% of the variance. The results indicate that QoL of children with obesity is affected by age and gender and can be explained by stress, coping and support as well as global health ratings. QoL of obese children differs from the QoL of children with asthma=atopic dermatitis and improves from before to after rehabilitation. QoL after rehabilitation is predicted by psychosocial indicators, health resources and strains. CONCLUSION: The results of the study suggest that QoL assessment in children with obesity is relevant in understanding what life is like for children with obesity, which aspects of their life affect their well-being and how quality of life can be improved through rehabilitation programmes.
Mental health and well-being are of great interest in health policy and research. Longitudinal surveys are needed to provide solid population-based data. We describe the design and methods of an 11-year follow-up of the German BELLA study in children, adolescents and young adults, and we report on age- and gender-specific courses of general health and well-being, long-term health-related outcomes of mental health problems, and mental health care use. The BELLA study is the module on mental health and well-being within the German Health Interview and Examination Survey for Children and Adolescents (KiGGS). Standardised measures were used at each of the five measurement points of the BELLA study. In the 11-year follow-up, young people aged 7–31 years participated (n = 3492). Individual growth modelling, linear regression and descriptive analyses were conducted. Self-reported general health and well-being were both better in younger (vs. older) and in male (vs. female) participants according to the data from all five measurement points. Mental health problems in childhood and adolescence (measured at baseline) predicted impaired health outcomes at 6-year and 11-year follow-ups. Approximately one out of four children with a diagnosed mental disorder was not undergoing mental health treatment. With its 11-year follow-up, the prospective longitudinal BELLA study provides new and solid data on mental health and well-being from childhood to adulthood in Germany, and these data are important for health promotion and prevention practices. These results are consistent with previous findings. Promising future analyses are planned.
Mental health problems in children and adolescents constitute health impairments with major implications regarding individual wellbeing as well as daily and social functioning. In addition, these problems often burden the social partners of the individual. Within the German Health Interview and Examination Survey for Children and Adolescents (KiGGS), the parents of 14478 children and adolescents aged 3-17 answered the Strengths and Difficulties Questionnaire (SDQ) which assesses behavioral problems and strengths in the areas emotional problems, hyperactivity, behavioral problems, peer problems and prosocial behavior. According to the results of the Total Difficulties Score (SDQ) 11,5 % girls (G) and 17,8 % boys (B) are classified borderline or abnormal, respectively. 92,5 % (G) and 86,3 % (B) display an adequate pro social behavior. Most prevalent problem areas are behavioral problems (G = 11,9 %, B = 17,9 %), emotional problems (G = 9,7 %, B = 8,6 %) and hyperactivity problems (G = 4,8 %, B = 10,8 %). The test-data of approximately 8,1 % of the respondents with high socio-economic status (SES), 13,4 % of those with middle SES and 23,2 % of those with low SES hinted at mental health problems. Migrants are more frequently affected than non-migrants. Results point at the need for early detection and prevention of commencing mental health problems. Especially the noneasily accessible groups like those with low socioeconomic status or migrants have to be considered.
The Mental Health Module (BELLA study) examines emotional well-being and behaviour in a representative sub-sample of 2,863 families with children aged 7 to 17 from the National Health Interview and Examination Survey for Children and Adolescents (KiGGS). The prevalence of mental health problems was determined using the Strengths and Difficulties Questionnaire (SDQ) and additional standardised screening measures. Of children and adolescents, 21.9 % (95 %CI: 19.9-24.0) showed signs of mental health problems. The psychiatric disorders observed included anxiety (10.0 %; 95 % CI: 8.7-11.6), conduct disorder (7.6 %; 95 % CI: 6.5-8.7) and depression (5.4 %; 95 % CI: 4.3-6.6). Of the risk factors examined, adverse family climate and low socioeconomic status stand out particularly as negative contributors. When several risk factors occur simultaneously, the prevalence of mental health problems increases markedly. Conversely, positive individual, family and social resources coincide with an absence of mental health problems. Children and adolescents with mental health problems display distinctly impaired health-related quality of life, and far from all of them are receiving treatment. Identifying high risk groups therefore requires the assessment of available resources in addition to the usual risk factors for mental and subjective health. Strengthening these resources should be a key objective, both in prevention and in interventions.
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