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Einleitung Die gesundheitlichen Folgen von Adipositas für junge Menschen können schwerwiegend sein. Bei der Entwicklung verschiedener Gesundheitsoutcomes wie Adipositas spielt für junge Menschen die Familie als auch ihre sozioökonomische Position (SEP) eine große Rolle. In dieser Analyse wird untersucht, welche familiäre Determinanten den Zusammenhang zwischen SEP der Familie und Adipositas bei Jugendlichen erklären.
Methoden Die vorliegende Analyse wurde mit Daten der "Studie zur Gesundheit von Kindern und Jugendlichen in Deutschland" (KiGGS) (Basiserhebung, Welle 1 und 2) durchgeführt (1301 weibliche und 1232 männliche 11- bis 17-Jährige). Mittels logistischer Regressionsmodelle (KHB-Methode) wurden für den Zusammenhang zwischen der SEP der Familie (Einkommen, berufliche Stellung, Bildung, SES-Index) und Adipositas (Ja/Nein) bei Jugendlichen die mediierenden Effekte von familiären Determinanten (elterliches Rauchen, elterliche sportliche Aktivitäten, elterliches Übergewicht, familiärer Stress und familiärer Zusammenhalt) analysiert.
Ergebnisse Die Prävalenz von Adipositas betrug 7,9 % bei den weiblichen und 8,4 % bei den männlichen Jugendlichen. Es zeigen sich signifikante Zusammenhänge zwischen Adipositas und SEP zu Ungunsten von jenen mit niedriger sozioökonomischer Position. Familiäre Determinanten erklären teilweise oder vollständig den Zusammenhang zwischen SEP und Adipositas bei Jugendlichen. Es wurden geschlechtsspezifische Unterschiede im Ausmaß der Mediation der Familie gefunden. Bei Jungen erklären familiäre Determinanten vollständig den Zusammenhang zwischen Adipositas und Einkommen sowie zwischen Adipositas und der beruflichen Stellung der Eltern. Bei männlichen Jugendlichen lässt sich der indirekte Effekt abhängig von der jeweiligen SEP-Variable zu 20,8 – 27,9 % auf das elterliche Rauchen, zu 14,8 – 26,3 % auf die elterliche sportliche Aktivität und zu 42,6 – 63,6 % auf das elterliche Übergewicht zurückführen. Bei Mädchen wurde der Zusammenhang zwischen der SEP und Adipositas teilweise durch familiäre Determinanten erklärt. Bei weiblichen Jugendlichen lässt sich der indirekte Effekt abhängig von der jeweiligen SEP-Variable zu 26,0 – 52,2 % auf das elterliche Rauchen und zu 41,6 – 67,6 % auf das elterliche Übergewicht zurückführen.
Schlussfolgerung Die Adipositas-Prävalenz von Jugendlichen variiert nach dem SEP. Familiäre Determinanten sind wichtige mediierende Faktoren für gesundheitliche Ungleichheiten bei Adipositas von Jugendlichen. Es zeigt sich, dass sich Unterschiede in der Adipositas nach SEP insbesondere durch das elterliche Gesundheitsverhalten (v.a. elterliches Rauchen, elterliches Übergewicht und elterliche sportliche Aktivität) erklären lassen. Die Berücksichtigung und Einbindung der Familie bei der Planung und Umsetzung von Gesundheitsförderungs- und Präventionsprogrammen für gesundheitliche Chancengleichheit bei Jugendlichen ist essentiell.
Background
Children's overweight is associated with many factors, including their living situation, in particular their family's socioeconomic position (SEP) and family characteristics. Research on the extent to which family characteristics account for a social gradient in overweight in early life is scarce. This study evaluated whether family characteristics explain SEP differences in the risk of overweight in early childhood.
Methods
The study used baseline data of 3-6 year-old children (n = 1,116) from the intervention ‘Ene mene fit’ conducted at kindergartens in Baden-Württemberg, Germany. Data included overweight (body mass index > 90 percentile) and parents’ reports on their education and family characteristics associated with overweight (child consumes: sweets in front of TV, soft drinks; family joined time: outdoor, breakfast, sports; cooking; child sets table; role model). Model-based single mediation analyses decomposed the total effect of highest parental education on overweight into direct (unmediated) and indirect (mediated) effects (OR, 95% CI).
Results
Girls and boys with low parental education had higher odds for overweight than children with high/medium education. Among boys, low education influenced the risk of overweight via indirect effects of i. ‘sweets consumption in front of TV’ (OR = 1.31, 1.05-1.59) and ii. ‘no joined sports’ (OR = 1.14, 1.00-1.44). The direct effect of low education only remained significant when ‘no joined sports’ was considered (OR = 2.19, 1.11-5.19). Among girls, family characteristics measured here did not explain SEP differences in overweight.
Conclusions
The family characteristics ‘sweets consumption in front of TV’ and ‘no joined sports’ contribute to inequalities in overweight among boys, but not among girls. Therefore, more gender-sensitive research is needed to identify family risk and protective characteristics that explain health inequalities among both boys and girls.
Children’s overweight is strongly associated with family socioeconomic position (SEP) and family characteristics (FC). There is limited research on the extent to which FC account for a socioeconomic gradient in childhood overweight. This study examined whether FC explain SEP differences in the prevalence of overweight. The study used baseline data of preschool-aged children from the German ‘PReschool INtervention Study’. The sample (n = 872, 48% girls) was recruited at kindergartens in Baden-Württemberg, Germany. Data included children’s measured weight status and parents’ reports on socioeconomic indicators (e.g., school education, vocational education, income) and FC. Variables represent main determinants of overweight (nutrition: sweets consumption in front of TV, soft drink consumption, regular breakfast, child sets table; physical activity: outdoor sports; parental role model). In single mediation analyses indirect effects of SEP on overweight were analysed (OR[95%CI]). Preschool girls and boys with low parental education had higher odds for overweight than children with high parental education. Among boys, low levels of parental education contributed to the odds of overweight via indirect effects by both factors ‘sweets consumption in front of TV’ (OR = 1.31[1.05–1.59]) and ‘no sports’ (OR = 1.14[1.01–1.38]). Among girls, FC measured did not explain SEP differences in overweight. Family nutrition and parental/family physical activity contribute to inequalities in overweight among preschool boys, but not girls. Research is needed to identify FC that explain inequalities in overweight for both.
Objective
Few studies have investigated health inequalities among young workers. The objectives of this study are to assess the extent of health inequalities in a sample of job starters and to explore the contribution of job demands and organisational factors.
Methods
We analyze data from the BIBB/BAuA Youth Employment Survey 2012. The cross-sectional survey includes a representative sample of 3214 German employees, apprentices, and trainees aged 15–24 years. Individuals were grouped by their years of schooling into low (< 12 years) and high levels of education (≥ 12 years). Regression analysis estimated the link between education and four health outcomes: self-rated health, number of health events, musculoskeletal symptoms, and mental health problems over the last 12 months. Counterfactual mediation analysis tested for indirect effects of education via working conditions (i.e., physical and psychosocial job demands) and company characteristics (i.e., company size, health prevention measures, financial situation, downsizing). All analyses were adjusted for age, sex, nationality, region, working hours, job tenure, employment relationship, and economic sector.
Results
Highly educated workers reported better self-rated health (b = 0.24, 95% CI 0.18–0.31) and lower numbers of health events (Rate Ratio (RR) = 0.74, 95% CI 0.67–0.82), musculoskeletal symptoms (RR = 0.73, 95% CI 0.66–0.80) and mental health problems (RR = 0.84, 95% CI 0.76–0.93). Total job demands explained between 21.6% and 87.2% of the educational differences (depending on health outcome). Unfavourable company characteristics were associated with worse health, but showed no or only small mediation effects.
Conclusions
Health inequalities are already present at the early working career due to socio-economically stratified working hazards. To enhance prevention measures that aim at reducing inequalities in workplace health, we propose shifting attention towards earlier stages of life.
This scoping review systematically mapped evidence of the mediating and moderating effects of family characteristics on health inequalities in school-aged children and adolescents (6–18 years) in countries with developed economies in Europe and North America. We conducted a systematic scoping review following the PRISMA extension for Scoping Reviews recommendations. We searched the PubMed, PsycINFO and Scopus databases. Two reviewers independently screened titles, abstracts and full texts. Evidence was synthesized narratively. Of the 12,403 records initially identified, 50 articles were included in the synthesis. The included studies were conducted in the United States (n = 27), Europe (n = 18), Canada (n = 3), or in multiple countries combined (n = 2). We found that mental health was the most frequently assessed health outcome. The included studies reported that different family characteristics mediated or moderated health inequalities. Parental mental health, parenting practices, and parent-child-relationships were most frequently examined, and were found to be important mediating or moderating factors. In addition, family conflict and distress were relevant family characteristics. Future research should integrate additional health outcomes besides mental health, and attempt to integrate the complexity of families. The family characteristics identified in this review represent potential starting points for reducing health inequalities in childhood and adolescence.
In diesem Beitrag wird facettenartig eine Brücke zwischen Zuwanderung und Gesundheit(-sversorgung) unter besonderer Berücksichtigung der globalen Ziele zur nachhaltigen Entwicklung geschlagen. Um Migrationserfahrungen als (potenziellen) Einflussfaktor auf gesundheitliche Chancengleichheit zu verstehen, wird die politisch-rechtliche Situation von Menschen mit Einwanderungsgeschichte im Zugang zur Gesundheitsversorgung und zu Präventions- und Gesundheitsförderungsmaßnahmen beschrieben. Dabei zeigt sich, dass sich die gesundheitliche Versorgungssituation durch soziale, politische, institutionelle und strukturelle Ungleichheiten und Benachteiligungen auszeichnet, die weder in den globalen Zielen zur nachhaltigen Entwicklung noch in der deutschen Nachhaltigkeitsstrategie angemessene Berücksichtigung finden.
The economic and health consequences of the COVID-19 pandemic pose a particular threat to vulnerable groups, such as migrants, particularly forcibly displaced populations. The aim of this review is (i) to synthesise the evidence on risk of infection and transmission among migrants, refugees, asylum seekers and internally displaced populations, and (ii) the effect of lockdown measures on these populations. We searched MEDLINE and WOS, preprint servers, and pertinent websites between 1st December 2019 and 26th June 2020. The included studies showed a high heterogeneity in study design, population, outcome and quality. The incidence risk of SARS-CoV-2 varied from 0•12% to 2•08% in non-outbreak settings and from 5•64% to 21•15% in outbreak settings. Migrants showed a lower hospitalisation rate compared to non-migrants. Negative impacts on mental health due to lockdown measures were found across respective studies. However, findings show a tenuous and heterogeneous data situation, showing the need for more robust and comparative study designs.
The economic and health consequences of the COVID-19 pandemic pose a particular threat to vulnerable groups, such as migrants, particularly forcibly displaced populations. The aim of this review is (i) to synthesise the evidence on risk of infection and transmission among migrants, refugees, asylum seekers and internally displaced populations, and (ii) the effect of lockdown measures on these populations. We searched MEDLINE and WOS, preprint servers, and pertinent websites between 1st December 2019 and 26th June 2020. The included studies showed a high heterogeneity in study design, population, outcome and quality. The incidence risk of SARS-CoV-2 varied from 0.12% to 2.08% in non-outbreak settings and from 5.64% to 21.15% in outbreak settings. Migrants showed a lower hospitalisation rate compared to non-migrants. Negative impacts on mental health due to lockdown measures were found across respective studies. However, findings show a tenuous and heterogeneous data situation, showing the need for more robust and comparative study designs.
Research suggests that children of low-educated parents face greater health burdens during the passage from adolescence to young adulthood, as they are more likely to become low-educated themselves, establish behavioural and psychosocial disadvantages, or being exposed to unhealthy working conditions. However, studies examining the development and drivers of health inequalities during this particular life stage are limited in number and have produced varied results. This study investigates trajectories of self-rated health and overweight from 14 to 25 years of age, stratified by parental education, and explores the role of potential mediators (educational achievement, health behaviours, psychosocial factors, working conditions). We rely on prospective cohort data from the National Educational Panel Study (NEPS), a representative sample of 14,981 German ninth graders interviewed yearly from 2011 to 2021 (n = 90,096 person-years). First, we estimated random-effects growth curves for self-rated health and overweight over participants’ age and calculated the average marginal effect of high versus low parental education. Second, a series of simulation-based mediation analyses were
performed to test how much of health inequalities were explained by children’s educational attainment (years of school education, years in university), health behaviours (smoking, alcohol, physical inactivity), psychosocial factors (number of grade repetitions, years in unemployment, chronic stress, self-esteem) and working conditions (physical and psychosocial job demands). We accounted for potential confounding by controlling for age, sex, migration background, residential area, household composition, and interview mode. Results show that higher parental education was related to higher self-rated health and lower probabilities of being overweight. Interaction between parental education and age indicated that, after some equalisation in late adolescence, health inequalities increased in young adulthood. Furthermore, educational attainment, health behaviours, psychosocial factors, and early-career working conditions played a significant role in mediating health inequalities. Of the variables examined, the level of school education and years spent in university were particular strong mediating factors. School education accounted for around one-third of the inequalities in self-rated health and one-fifth of the differences in overweight among individuals. Results support the idea that the transition to adulthood is a sensitive period in life and that early socio-economic adversity increases the likelihood to accumulate health disadvantages in multiple dimensions. In Germany, a country with comparatively low educational mobility, intergenerational continuities in class location seem to play a key role in the explanation of health inequalities in
youth.
Socioeconomic position and self-rated health among adolescents: the mediating role of the family
(2022)
Background
Although health inequalities in adolescence are well documented, the underlying mechanisms remain unclear. Few studies have examined the role of the family in explaining adolescents’ health inequalities. The study aimed to explore whether the association between socioeconomic position and self-rated health (SRH) was mediated by familial determinants.
Methods
Using data from wave 2 of the KiGGS study (1,838 female and 1,718 male 11- to 17-year-olds), linear regression analyses were conducted to decompose the total effects of parents’ education, occupation, income, socioeconomic position index, and adolescents’ subjective social status on SRH into direct effects and indirect effects through familial determinants (family cohesion, parenting styles, parental well-being, stress, obesity, smoking and sporting activity).
Results
A significant total effect of all socioeconomic position indicators on SRH was found, except for income in male adolescents. In female adolescents, more than 70% of the total effects of each socioeconomic position indicator were explained by familial mediators, whereas no significant direct effects remained. The most important mediator was parental well-being, followed by family cohesion, parental smoking and sporting activity. In male adolescents, the associations of parental education, the socioeconomic position index and subjective social status with SRH were also mediated by familial determinants (family cohesion, parental smoking and obesity). However, a significant direct effect of subjective social status remained.
Conclusions
The family appears to play an important role in explaining health inequalities, particularly in female adolescents. Reducing health inequalities in adolescence requires policy interventions, community-based strategies, as well as programs to improve parenting and family functioning.
Objective
Although health inequalities in adolescence are well documented, the underlying mechanisms remain unclear. Few studies have examined the role of the family in explaining the association between the family’s socioeconomic position and adolescents’ self-rated health. The current study aimed to explore whether the association between socioeconomic position and self-rated health was mediated by familial determinants.
Methods
Using data from wave 2 of the”German Health Interview and Examination Survey for Children and Adolescents” (KiGGS) (1,838 female and 1,718 male 11- to 17-year-olds), linear regression analyses were conducted to decompose the total effects of income, education, occupational status, socioeconomic position index and adolescents’ subjective social status on self-rated health into direct effects and indirect effects through familial determinants (family cohesion, parental well-being, parental stress, parenting styles, parental obesity, smoking and sporting activity).
Results
A significant total effect of all socioeconomic position indicators on self-rated health was found, except for income in male adolescents. In female adolescents, more than 70% of the total effects of each socioeconomic position indicator were explained by familial mediators, whereas no significant direct effects remained. The most important mediator was parental well-being, followed by family cohesion, parental smoking and sporting activity. In male adolescents, the associations between income, parental education, the socioeconomic position index and subjective social status were also mediated by familial determinants (family cohesion, parental smoking, obesity and living in a single-mother family). However, a significant direct effect of subjective social status remained.
Conclusion
The analysis revealed how a family’s position of socioeconomic disadvantage can lead to poorer health in adolescents through different family practices. The family appears to play an important role in explaining health inequalities, particularly in female adolescents. Reducing health inequalities in adolescence requires policy interventions (macro-level), community-based strategies (meso-level) and programs to improve parenting and family functioning (micro-level).