Health-related quality of life in children and adolescents with overweight and obesity: results from the German KIGGS survey

Background The well-being of persons with overweight and obesity, in particular of children and adolescents, may be impaired. The present study investigates the health-related quality of life (HRQoL) of girls and boys with overweight and obesity living in Germany as compared to those of normal-weight, while taking a selection of relevant determinants of HRQoL into account. Methods The sample comprises 1771 children and adolescents aged 11 to 17 years that took part in the cross-sectional German Health Interview and Examination Survey for Children and Adolescents (KIGGS Wave 2, 2014–2017). Sex-and age-specific BMI (kg/m2) percentiles were utilized to classify overweight and obesity. HRQoL was measured with the KIDSCREEN-27 questionnaire, which gathers detailed information about the five dimensions physical and psychological well-being, well-being regarding peers (i.e., social acceptance), parents (i.e., autonomy) and within the school environment. Multiple regression analyses were performed with HRQoL dimensions as outcomes to test for differences between children and adolescents with normal-weight vs. those with overweight and vs. those with obesity, separately for girls and boys. In a next step, age, physical activity, media consumption, social support and self-efficacy were considered as potential confounders in the analyses. Results 18.7% of the children and adolescents under study were affected by overweight and among them 8.0% by obesity. After adjusting for potential confounders, overweight and obesity were associated with lower physical well-being as compared to normal weight in both sexes (boys with overweight: standardized beta [β] = −.14, standard error [SE] = .03, p < .001, and obesity: β = −.16, SE = .03, p < .001; girls with overweight: β = −.09, SE = .04, p = .011, and obesity: β = −.11, SE = .03, p = .003). Results moreover suggest lower levels of psychological (β = −.10, SE = .04, p = .002) and parent-related well-being (β = −.08, SE = .04, p = .036) of boys with obesity as compared to normal-weight peers. Conclusion HRQoL of German children and adolescents with overweight and obesity is impaired according to physical well-being in general, while psychological and parent-related well-being is particularly affected in boys. Public health approaches should therefore promote children and adolescents with overweight and obesity by improving diverse facets of HRQoL as well as relevant associated factors (i.e., media consumption, self-efficacy) in general and in boys in particular.Peer Reviewe

Support- and meaning-focused coping as key factors for maintaining adult quality of life during the COVID-19 pandemic in Germany

Introduction: During the COVID-19 pandemic, questions about both consequences and helpful strategies to maintain quality of life (QoL) have become increasingly important. Thus, the aim of this study was to investigate the distribution of coping factors during the COVID-19 pandemic, their associations with QoL and the moderating role of certain sociodemographic characteristics. Methods: Analyses were based on cross-sectional self-reports from German adult participants (N = 2,137, 18–84 years, 52.1% female) of the CORONA HEALTH APP Study from July 2020 to July 2021. Multivariate regression analyses were used to predict (a) coping factors assessed with the Brief COPE and (b) QoL assessed with the WHOQOL-BREF while taking measurement time, central sociodemographic, and health characteristics into account. Results: During the COVID-19 pandemic, German adults mostly pursued problem- and meaning-focused coping factors and showed a relatively good QoL [Mean values (M) from 57.2 to 73.6, standard deviations (SD) = 16.3−22.6], except for the social domain (M = 57.2, SD = 22.6), and with a decreasing trend over time (β from −0.06 to −0.11, ps < 0.01). Whereas, escape-avoidance coping was negatively related to all QoL domains (β = −0.35, p < 0.001 for psychological, β = −0.22, p < 0.001 for physical, β = −0.13, p = 0.045 for social, β = −0.49, p < 0.001 for environmental QoL), support- and meaning-focused coping showed positive associations with various QoL domains (β from 0.19 to 0.45, ps < 0.01). The results also suggested differences in the pursuit of coping factors as well as in the strength of associations with QoL by sociodemographic characteristics. Escape-avoidance-focused coping was negatively associated with QoL levels in older and less educated adults (simple slopes differed at ps < 0.001), in particular. Conclusions: The results demonstrated what types of coping may be helpful to avoid QoL deterioration (i.e., support- and meaning-focused coping) and provide implications for future universal or targeted health promotion (i.e., older or less educated adults who lack social or instrumental support) and preparedness in the face of unknown challenging societal situations similar to that of the COVID-19 pandemic. Cross-sectional trends of enhanced use of escape-avoidance-focused coping and QoL deterioration point toward a need for increased attention from public health and policy

The role of personality traits and social support in relations of health-related behaviours and depressive symptoms

Background: Previous evidence has suggested that physically inactive individuals and extensive media users are at high risk for experiencing depressive symptoms. We examined personality traits and perceived social support as potential moderators of this association. Personality and perceived social support were included as two of the most frequently considered variables when determining predispositioning factors for media use phenomena also discussed in relation to physical activity. Methods: We analysed cross-sectional data from 1402 adults (18–31 years old) who participated in a national health survey in Germany (KiGGS, Study on the health of children and adolescents in Germany, wave 2). The data included one-week accelerometer assessments as objective indicators of physical activity, self-reported media use, depressive symptoms, perceived social support and Big 5 personality traits. An elastic net regression model was fit with depressive symptoms as outcome. Ten-fold cross-validation was implemented. Results: Amongst the main effects, we found that high media use was positively correlated with depressive symptoms, whereas physical activity was not correlated. Looking at support and individual differences as moderators, revealed that PC use was more strongly correlated with depressive symptoms in cases of low levels of perceived social support. Positive associations of social media use with depressive symptoms were more pronounced, whereas negative associations of moderate to vigorous physical activity with depressive symptoms were less pronounced in extraverts than they were in introverts. Conclusions: Results highlight the importance of considering individual factors for deriving more valid recommendations on protective health behaviours.Peer Reviewe

Quality of life during the COVID-19 pandemic – Results of the CORONA HEALTH App study

The COVID-19 pandemic has brought about great changes to the everyday lives of the population in Germany. Social distancing, working from home and other measures to contain the pandemic are essentially dominating everyday life. With data from the CORONA HEALTH App study we analysed the quality of life of the adult population in Germany during the COVID-19 pandemic and identified possible risk factors for a poor quality of life. In the app-based survey carried out between July and December 2020, 1,396 respondents (women 46.5%, men 52.7%, diverse 0.9%; mean age (mean) 42.0 years (standard deviation=13.4)) provided information on their quality of life using the World Health Organization Quality of Life Questionnaire (WHOQOL-BREF). Univariate and multivariate regression was used to examine differences in quality of life between different groups of people during the COVID-19 pandemic and their associations with selected predictors. In summary, women, younger persons and job seekers or those who saw their work hours reduced or who could not pursue their regular jobs presented a lower quality of life in individual areas of life than the respective reference group. On the other hand, a setting that combines working from home and at the regular workplace, as well as living together with other people, showed partly positive associations with quality of life. The results have implications for public health interventions as they highlight groups requiring closer attention and sufficient support services.Peer Reviewe

Extraversion moderates the relationship between social media use and depression

Background: There is evidence that extraversion and associated frequent personal and digital social contacts are associated with mental health, reflected in reduced risk for anxiety or depression. However, excessive social media use (SMU) has been related to a decrease of mental health. We test how extraversion moderates the effect of SMU on anxiety and depression in times of social distancing. Methods: Data were collected with an app-based survey combined with passive sensing of social media usage time. We analyzed SMU (objective average duration of communication app usage) and cross-sectional questionnaire data from 486 adults (mean age = 42.42). Using multiple regression models, we tested how SMU, extraversion and their interaction relate to individual depression and anxiety scores. Results: Depression scores were associated with a higher SMU and lower extraversion. There was a significant positive relationship between SMU and extraversion that predicted higher depression scores. Limitations: In the present sample, there is a recruitment bias since only data from smartphones running iOS were included. Future research should also take a closer look at the purpose behind SMU. Conclusions: We conclude that extraversion might be a protective factor for depression which can turn into a harmful one if it is related to higher SMU. Thus, the interplay between SMU and extraversion needs to be considered when predicting individual differences in mental health.Peer Reviewe

Co-occurrence, stability and manifestation of child and adolescent mental health problems: a latent transition analysis

Background Complex constellations of socio-emotional and behavioural problems (i.e., mental health problems) in childhood and adolescence are common and heighten the risk for subsequent personality, anxiety and mood disorders in adulthood. Aims of this study included the examination of patterns of mental health problems (e.g., externalizing-internalizing co-occurrence) and their transitions to reported mental disorders by using a longitudinal person-centered approach (latent class and latent transition analysis). Methods The sample consisted of 1255 children and adolescents (51.7% female, mean age = 12.3 years, age range 8–26 years) from three time points of the comprehensive mental health and wellbeing BELLA study. Children and their parents completed the German SDQ (Strength and Difficulties Questionnaire, Goodman, 1997) and reported on diagnoses of ADHD, depression, and anxiety. Results Latent class analysis identified a normative class, an emotional problem class, and a multiple problem class. According to latent transition analysis, the majority of the sample (91.6%) did not change latent class membership over time; 14.7% of individuals showed a persistent pattern of mental health problems. Diagnoses of mental disorders were more likely to be reported by individuals in the emotional problem or multiple problem class. Conclusions Results highlight the need for early prevention of mental health problems to avoid accumulation and manifestation in the transition to adolescence and young adulthood

Lebensqualität während der COVID-19-Pandemie – Ergebnisse der CORONA-HEALTH-App-Studie

Die COVID-19-Pandemie hat den Alltag der Bevölkerung in Deutschland stark verändert. Kontaktbeschränkungen, die Einführung von Homeoffice und weitere Maßnahmen zur Eindämmung der Pandemie bestimmen den Alltag maßgeblich. Die CORONA-HEALTH-App-Studie verfolgt das Ziel, die Lebensqualität der in Deutschland lebenden erwachsenen Bevölkerung während der COVID-19-Pandemie zu untersuchen und mögliche Risikofaktoren für eine niedrige Lebensqualität zu identifizieren. Im Rahmen der appbasierten Befragung machten 1.396 Personen (Frauen 46,5 %, Männer 52,7 %, divers 0,9 %; durchschnittliches Alter (Mittelwert) 42,0 Jahre (Standardabweichung = 13,4)) im Zeitraum Juli bis Dezember 2020 mittels des World Health Organization Quality of Life Questionnaire (WHOQOL-BREF) Angaben zu ihrer Lebensqualität. Mit univariater und multivariater Regression wurden Unterschiede zwischen verschiedenen Personengruppen in der Lebensqualität während der COVID-19-Pandemie sowie Assoziationen mit ausgewählten Prädiktoren untersucht. Zusammenfassend zeigten Frauen, jüngere Personen und Personen, die arbeitssuchend oder in Kurzarbeit waren beziehungsweise ihrer regulären Arbeitstätigkeit nicht nachgehen konnten, in einzelnen Lebensbereichen eine niedrigere Lebensqualität als die jeweilige Referenzgruppe. Eine Kombination aus Homeoffice und regulärem Arbeitsplatz sowie das Zusammenleben mit anderen Personen zeigten hingegen teils positive Assoziationen mit der Lebensqualität. Die Ergebnisse haben Implikationen für Public-Health-Maßnahmen, indem sie auf Gruppen hinweisen, die eine erhöhte Aufmerksamkeit und ausreichende Unterstützungsangebote benötigen.Peer Reviewe

Corona Health -- A Study- and Sensor-based Mobile App Platform Exploring Aspects of the COVID-19 Pandemic

Physical and mental well-being during the COVID-19 pandemic is typically assessed via surveys, which might make it difficult to conduct longitudinal studies and might lead to data suffering from recall bias. Ecological momentary assessment (EMA) driven smartphone apps can help alleviate such issues, allowing for in situ recordings. Implementing such an app is not trivial, necessitates strict regulatory and legal requirements, and requires short development cycles to appropriately react to abrupt changes in the pandemic. Based on an existing app framework, we developed Corona Health, an app that serves as a platform for deploying questionnaire-based studies in combination with recordings of mobile sensors. In this paper, we present the technical details of Corona Health and provide first insights into the collected data. Through collaborative efforts from experts from public health, medicine, psychology, and computer science, we released Corona Health publicly on Google Play and the Apple App Store (in July, 2020) in 8 languages and attracted 7,290 installations so far. Currently, five studies related to physical and mental well-being are deployed and 17,241 questionnaires have been filled out. Corona Health proves to be a viable tool for conducting research related to the COVID-19 pandemic and can serve as a blueprint for future EMA-based studies. The data we collected will substantially improve our knowledge on mental and physical health states, traits and trajectories as well as its risk and protective factors over the course of the COVID-19 pandemic and its diverse prevention measures

The whole is greater than the sum of its parts: profiles of multiple mental health risk factors using Latent class analysis

Background The exposure to an accumulation of various risk factors during childhood and adolescence relative to a single risk is associated with poorer mental health. Identification of distinct constellations of risk factors is an essential step towards the development of effective prevention strategies of mental disorders. A Latent class analysis (LCA) extracts different combinations of risk factors or subgroups and examines the association between profiles of multiple risk and mental health outcomes. Methods The current study used longitudinal survey data (KiGGS) of 10,853 German children, adolescents and young adults. The LCA included 27 robust risk and protective factors across multiple domains for mental health. Results The LCA identified four subgroups of individuals with different risk profiles: a basic-risk (51.4%), high-risk (23.4%), parental-risk (11.8%) and social-risk class (13.4%). Multiple risk factors of the family domain, in particular family instability were associated with negative mental health outcomes (e.g. mental health problems, depression, ADHD) and predominately comprised late adolescent girls. The social environment represented a more common risk domain for young males. Conclusion The understanding of multiple risk and different risk “profiles” helps to understand and adjust targeted interventions with a focus on vulnerable groups

Persistent depressive disorder across the adult lifespan: results from clinical and population-based surveys in Germany

Background Although the individual and economic disease burden of depression is particularly high for long-term symptoms, little is known of the lifetime course of chronic depression. Most evidence derives from clinical samples, and the diagnostic distinction between persistent depressive disorder (PDD) and non-chronic major depression (NCMDD) is still debated. Thus, we examined characteristics of PDD among clinical vs. non-clinical cases, and the associated disease burden at a population level. Methods Data were drawn from the mental health module of the German Health Interview and Examination Survey for Adults (DEGS1-MH, 2009–2012, n = 4483) and a clinical sample of PDD inpatients at Charité – Universitätsmedizin Berlin (2018–2019, n = 45). The DSM-5 definition of PDD was operationalized a priori to the study using interview-based DSM-IV diagnoses of dysthymia and major depression lasting at least 2 years in both surveys. Additional depression characteristics (depression onset, self-classified course, suicidality, comorbid mental disorders, treatment history and current depressive symptoms [Patient Health Questionnaire-9]) were assessed. In the DEGS1-MH, health-related quality of life (Short Form Health Survey-36, SF-36), chronic somatic conditions, number of sick days (past 12 months) or days with limitations in normal daily life activities (past 4 weeks), and health service utilization (past 12 months) were compared for PDD vs. NCMDD. Results PDD cases from the clinical sample had a significantly earlier depression onset, a higher proportion of self-classification as persistent course, and treatment resistance than PDD and NCMDD cases in DEGS1-MH. At a population level, PDD cases showed worse outcomes compared with NCMDD cases in terms of somatic comorbidity, SF-36 mental component score, and activity limitations owing to mental health problems, as well as a higher risk for outpatient mental health care contact. Conclusions The distinction between PDD and NCMDD proposed for DSM-5 seems warranted. Early onset depression, self-classification as persistent depressive course, and treatment resistance are suggested as markers of more severe and chronic depression courses. At a population level, PDD is associated with remarkably higher individual and economic disease burden than NCMDD, highlighting the need to improve medical recognition of chronic courses and establish specific treatment concepts for chronic depression.Peer Reviewe