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Die Sozialepidemiologie befasst sich mit der sozialen Verteilung von Erkrankungsrisiken und Gesundheitschancen und den daraus resultierenden gesundheitlichen Ungleichheiten. Für die letzten 20 Jahre lässt sich ein kontinuierlicher Zuwachs an sozialepidemiologischen Forschungsbefunden in Deutschland konstatieren. Mit den gesundheitlichen Ungleichheiten und den sozialen Determinanten der Gesundheit adressiert die Sozialepidemiologie Kernbereiche von Public Health, deren Bearbeitung auch in Zukunft erheblichen Einfluss auf die wissenschaftlichen, politischen und praxisorientierten Perspektiven des Fachs haben dürfte.
Einleitung:
In Deutschland raucht noch immer etwa jede fünfte junge Frau Tabakzigaretten. Gleichzeitig erfreuen sich E-Zigaretten auch in Deutschland insbesondere unter jungen Erwachsenen zunehmender Beliebtheit. Maternaler Nikotinkonsum birgt schwerwiegende Risiken für die Schwangere und das Kind. Das Ziel dieser Studie war es, den Konsum von Tabak- und E-Zigaretten sowie die Risikowahrnehmung bezüglich E-Zigaretten unter Schwangeren zu erfassen.
Methode:
In der STudy on E-cigarettes and Pregnancy (STEP) wurden im Rahmen eines quantitativen Studienteils für 575 Schwangere an einer Geburtsklinik in Hamburg von April 2018 bis Januar 2019 die Tabak- und die E-Zigarettennutzung erfasst. In einem qualitativen netnographischen Studienteil wurden insgesamt über 1.000 Posts in webbasierten Schwangerschaftsforen inhaltsanalytisch ausgewertet.
Ergebnisse:
Unmittelbar vor der Schwangerschaft nutzten 26,9% der Schwangeren Tabakzigaretten und 7,8% E-Zigaretten. Die Prävalenzen reduzierten sich dann im ersten Trimenon auf 9,0% für Tabakzigaretten und 0,5% für E-Zigaretten. Am Ende der Schwangerschaft rauchten noch 3,1% aller Befragten Tabakzigaretten – darunter jede Vierte mehr als 10 Zigaretten/Tag – und 0,2% nutzten durchgängig E-Zigaretten. Die netnographische Analyse zeigte eine große Verunsicherung bei Schwangeren hinsichtlich der Risiken der E-Zigarettennutzung.
Diskussion:
Die Ergebnisse zeigten für das hier untersuchte Kollektiv, dass noch immer etwa jede zehnte Schwangere zu Beginn der Schwangerschaft Tabakzigaretten raucht. Dagegen ist E-Zigarettenkonsum in der Schwangerschaft nur wenig verbreitet, wenngleich er im Internet teilweise als unschädlich, harmlos und als Alternative zur Tabakzigarette diskutiert wird. Im Rahmen der Prävention sollten die potenziellen Gesundheitsgefahren und die umstrittene Wirksamkeit der E-Zigarette als Tabakentwöhnungshilfe thematisiert und von der E-Zigarettennutzung in der Schwangerschaft dringend abgeraten werden.
Objective
Previous studies have shown that e-cigarettes are perceived as being less harmful than tobacco cigarettes by pregnant women and might be used to quit smoking during pregnancy. Our aim was to further explore and characterise perceived threats, benefits and barriers of e-cigarette use during pregnancy.
Methods
Our STudy on E-cigarettes and Pregnancy (STEP) was, among others, based on a netnographic approach of analysing existing threads in German-speaking online discussion forums dealing with perceived threats and benefits of e-cigarette use during pregnancy. For the analysis, we used an inductive-deductive qualitative content analysis.
Findings
Based on 25 online discussion threads containing 1552 posts, we identified perceived threats, perceived benefits and perceived barriers to e-cigarette use during pregnancy, among others, as main themes. Subthemes identified within the main theme perceived threats were severe nicotine related health risks, potential health risks of additional ingredients, relative risks and lack of knowledge and research studies. As perceived benefits, we identified possibility and facilitation of smoking cessation, harm reduction and financial benefits. Perceived barriers were lack of satisfaction and social stigma.
Conclusion
Our qualitative results suggest that the perception of the health threats related to e-cigarette use during pregnancy varies according to the nicotine content and the perception of relative risks compared with tobacco cigarettes. In addition to this, risk perception is defined through further health and non-health related barriers and benefits (e.g. suitability of e-cigarettes as a smoking cessation aid, social stigma).
Graphs are used as a universal data structure in various domains. Sets of graphs (and likewise graph morphisms) can be specified using, e.g., the graph logic Image 1 of Graph Conditions (GCs). The evaluation of a graph against such a GC results in a Boolean satisfaction judgement on whether the graph is specified by the GC. The graph logic Image 1 is known to be as expressive as first-order logic on graphs. However, since infinitely many graphs exist, there are also infinitely many evaluations for each given GC. To support GC validation, testing, debugging, and repair, a suitable synthesis procedure generating a complete compact overview of how a given GC may be evaluated for possibly varying graphs is called for.
In a previous paper, we generated such an overview for a given GC in the form of a complete finite set of diverse evaluations for varying associated graphs formally given by so called Evaluation Trees (ETs). Each of these ETs concretely describes how its associated graph is evaluated against the given GC by recording the executed evaluation steps. Moreover, these generated ETs and the given GC for which they are generated have the same underlying structure easing comprehensibility of the represented evaluation steps. The returned ETs are complete since each possible ET subsumes one of the returned ETs and diverse by not containing superfluous ETs subsuming smaller ETs.
We now extend and refine this approach still solving the ET synthesis problem by (a) extending the graph logic GL allowing for the specification of a minimal number of graph patterns to be contained in specified graphs, (b) provide means to scale the size of the generated ETs up to a user-provided bound allowing for the generation of not just minimal ETs, (c) record the order of evaluations steps also for operators where the evaluation but not the operator itself defines such an order, and (d) generate ETs recording combinations of reasons for (non-)satisfaction of GCs where only single reasons were recorded before.
Hintergrund: In Deutschland greift ein Zehntel der Schwangeren zur Tabakzigarette. Gleichzeitig verbreiten sich E-Zigaretten
insbesondere unter jungen Erwachsenen in Deutschland zunehmend. Das Ziel dieser Studie war es, die aktive und passive Exposition
durch E-Zigaretten- und Tabakzigaretten sowie die Einstellung zur E-Zigarette unter Schwangeren in Deutschland zu
erforschen.
Methoden: Im Rahmen der STEP (STudy on E-cigarettes and Pregnancy) beantworteten 575 Schwangere an einer Geburtsklinik
in Hamburg von April 2018 bis Januar 2019 Fragen zur E-Zigaretten- und Tabakzigarettenexposition sowie ihren Einstellungen
zur E-Zigarette.
Ergebnisse: Insgesamt nutzten 1,2% der Befragten ausschließlich E-Zigaretten, 6,7% E- und Tabakzigaretten und 20,3% ausschließlich
Tabakzigaretten vor der Schwangerschaft. In der Schwangerschaft nutzten 0,5% E-Zigaretten und 9,1% Tabakzigaretten.
86,9% aller Schwangeren waren der Ansicht, dass E-Zigaretten nicht als Alternative zu Tabakzigaretten genutzt
werden sollten. Befragte, die die Tabakzigarette während der Schwangerschaft nutzten, vertraten seltener diese Einstellung
als Nichtnutzer (78,0% vs. 88,0%; p=0,045). Der aktuelle Konsum der E-Zigarette (bzw. Tabakzigarette) durch den Partner
erfolgte bei 5,5% (bzw. 24,4%) der Befragten. 18,5% (bzw. 9,3%) der Partner mit E-Zigarettenkonsum (bzw. Tabakzigarettenkonsum)
konsumierten zuhause.
Schlussfolgerungen: Die aktive E-Zigarettenexposition ist – im Gegensatz zur aktiven Tabakzigarettenexposition - in der
Schwangerschaft bisher gering. Gleichzeitig kommt eine passive Exposition durch den konsumierenden Partner von Schwangeren
häufiger bei der E-Zigarette vor. Die Ergebnisse betonen die Wichtigkeit der weiterführenden Tabakprävention und der
Erforschung der Gesundheitsrisiken des Passivdampfes in der Schwangerschaft.
Background: Overweight in childhood is considered to be one of the most serious public health challenges. Many studies have investigated individual-level determinants of children's body mass index (BMI), yet studies exploring determinants at the meso-level are sparse. The aim of our study was to examine how a sports focus at early childhood education and care (ECEC) centers moderates the effect of parental socio-economic position (SEP) on children's BMI.
Methods: We used data from the German National Educational Panel Study and included 1,891 children (955 boys and 936 girls) from 224 ECEC centers in our analysis. Linear multilevel regressions were used to estimate the main effects of family SEP and the ECEC center sports focus, as well as their interaction, on children's BMI. All analyses were stratified by sex and adjusted for age, migration background, number of siblings, and employment status of parents.
Results: Our analysis confirmed the wellknown health inequalities in childhood overweight with a social gradient toward a higher BMI for children from lower SEP families. An interactive effect between family SEP and ECEC center sports focus was found. Boys with low family SEP not attending a sports-focused ECEC center had the highest BMI among all boys. In contrast, boys with low family SEP attending a sports-focused ECEC center had the lowest BMI. For girls, no association regarding ECEC center focus or interactive effects emerged. Girls with a high SEP had the lowest BMI, independent of the ECEC center focus.
Conclusion: We provided evidence for the gender-specific relevance of sports-focused ECEC centers for the prevention of overweight. Especially boys from low SEP families benefited from a sports focus, whereas for girls the family's SEP was more relevant. As a consequence, gender differences in determinants for BMI at different levels and their interaction should be considered in further research and preventive measures. Our research indicates that ECEC centers may decrease health inequalities by providing opportunities for physical activity.
Introduction E-cigarette use during pregnancy is a risk factor for maternal and fetal health. Early studies on animals showed that in utero exposure to e-cigarettes can have negative health outcomes for the fetus. There has been only limited research into the risk perceptions of e-cigarette use during pregnancy. This study was conducted to comprehensively characterize the constructs of risk perceptions with regard to e-cigarette use during pregnancy using an Integrated Health Belief Model (IHBM). Methods Our STudy on E-cigarettes and Pregnancy (STEP)used a mixed methods approach, with the study divided intoan initial qualitative part and a quantitative part. A netno-graphic approach was used for the first part, which consistedof the analysis of 1552 posts from 25 German-language on-line discussion threads on e-cigarette use during pregnancy. Using these qualitative results, a quantitative questionnaire was developed to explore risk perception constructs about e‑cigarette use during pregnancy. This questionnaire was subsequently administered to pregnant women (n = 575) in onehospital in Hamburg, Germany. Descriptive and bivariate analysis was used to examine differences in risk perception ac-cording to participantsʼ tobacco and e-cigarette user status before and during pregnancy. While the study design, methods and sample have been extensively described in our recently published study protocol in the January 2020 issue of Geburtshilfe und Frauenheilkunde, this paper is devoted to apresentation of the results of our mixed methods study. Results Themes related to perceived threats identified in the qualitative study part were nicotine-related health risks and po-tential health risks of additional ingredients. Perceived benefits were possibility and facilitation of smoking cessationand a pre-sumed potential to reduce harm. The subsequent quantitative part showed that nearly all participants (99.3%) perceivede‑cigarettes which contained nicotine as constituting a threat to the health of the unborn child. The most commonly perceived barrier was health-related (96.6%), while the most commonly perceived benefit was a reduction in the amount of tobacco cigarettes consumed (31.8%). We found that partic-ularly perceived benefits varied depending on the partici-pantʼs tobacco and e-cigarette user status. Conclusion When considering future prevention strategies, the potential health risks and disputed effectiveness of e-cigarettes as a tool for smoking cessation need to be taken intoaccount and critically discussed.
Objectives
Active and passive exposure to tobacco cigarettes during pregnancy is associated with multiple negative health outcomes for the fetus. In addition, exposure to e-cigarettes has been progressively discussed as a new threat to fetal health. Until now, there has been a lack of studies examining active and passive exposure to tobacco and e-cigarettes among pregnant women. The objective of our current STudy on E-cigarettes and Pregnancy (STEP) was to advance and complement the current knowledge regarding active and passive exposure to tobacco and e-cigarettes before pregnancy and during early and late pregnancy.
Methods
One element of the STEP study was a quantitative cross-sectional design: A sample of 540 pregnant women recruited at an obstetrician clinic in Hamburg from April 2018 to January 2019 were surveyed once via a standardized questionnaire and provided complete information regarding their consumption of tobacco and e-cigarettes. We performed a descriptive analysis of tobacco and e-cigarette use before pregnancy and during early and late pregnancy, as well as bivariate analysis of these variables with sociodemographic determinants. Passive exposure was assessed by asking the participating pregnant women about the consumption of tobacco and e-cigarettes by their partners, in general, and in their homes.
Results
Before pregnancy, 20.0% of the participants used tobacco cigarettes exclusively, 1.3% used e-cigarettes exclusively, and 6.5% were dual users. Educational level was significantly associated with tobacco cigarette use (p < 0.001) and dual use (p = 0.047) before pregnancy. During early (late) pregnancy, 8.7% (2.8%) used tobacco cigarettes and 0.4% (0.0%) used e-cigarettes exclusively. Twenty-point nine percent of women’s partners consumed tobacco cigarettes exclusively, 2.7% consumed e-cigarettes exclusively, and 2.7% consumed both. A total of 8.5% (16.7%) of the partners who consumed tobacco cigarettes exclusively (e-cigarettes exclusively) did so in the women’s homes.
Conclusions for Practice
Among pregnant women, the use of tobacco cigarettes remains prominent before and during pregnancy, while e-cigarette use predominately occurs before pregnancy. Our study shows that pregnant women are frequently exposed to their partners’ tobacco and e-cigarette use within their homes. Strategies to reduce such exposure should be further intensified.
Significance
In the last decade, e-cigarettes have become popular, and e-cigarette use has been increasing, even among pregnant women. However, there is a lack of knowledge concerning the exposure to e-cigarettes before pregnancy and during early and late pregnancy, as well as studies comparing e-cigarettes and tobacco cigarettes. The current study found that active exposure to e-cigarettes before pregnancy is high, while exposure during pregnancy is marginal. In contrast, exposure to tobacco cigarettes before and in early pregnancy is high but decreases during late pregnancy. In addition, the results of our study show that pregnant women are passively exposed to tobacco and e-cigarettes at home. Pregnant women should be advised against exposing themselves, actively or passively, to tobacco and e-cigarette smoke.
Introduction: During pregnancy, the motherʼs healthy life-style is crucial for the health of the fetus. Potential risk factorsfor maternal and child health should therefore be identifiedand reduced as early as possible. The consumption of e-ciga-rettes represents one of these potential risk factors. Exploringrisk perceptions about e-cigarette use during pregnancy canprovide early indications of possible user motives. Therefore,our mixed methodsSTudy onE-cigarettes andPregnancy(STEP) aimed to comprehensively analyze risk perceptionsabout e-cigarette use during pregnancy based on anInte-gratedHealthBeliefModel (IHBM). This paper describes thestudy design, methods, sample population and limitations ofSTEP.
Methods: Our sequential mixed methods study combinedqualitative and quantitative approaches. In the qualitativesection of the study which preceded the quantitative part ofthe study, we aimed to characterize risk perceptions aboute‑cigarette use during pregnancy. We used a netnographic re-search approach which analyzed discussion threads in onlineforums dealing with e-cigarette use during pregnancy. Theanalysis was based on an IHBM. Identified themes were incor-porated in the questionnaire which was developed for the quantitative part of the study. The quantitative section aimedto quantify, among other things, perceived threats, barriersand benefits and to explore differences in risk perception ac-cording to sociodemographic characteristics and tobacco ande-cigarette usage.
Results: In the qualitative section, 1552 posts in 25 online dis-cussion threads dealing, inter alia, with e-cigarette use duringpregnancy were identified. The quantitative part looked atthe responses in the questionnaires handed in by 575 preg-nant women who attended a hospital in Hamburg (Germany)from April 2018 to January 2019 (response rate: 27.5%).
Conclusion: Data collection was successful for both the qual-itative and quantitative parts of the study. When interpretingthe results of STEP, different limitations should be taken intoaccount. The results of STEP provide starting points for thedevelopment of tailored preventive measures for pregnantwomen.
A slow-fast trait continuum at the whole community level in relation to land-use intensification
(2024)
AbstractOrganismal functional strategies form a continuum from slow- to fast-growing organisms, in response to common drivers such as resource availability and disturbance. However, whether there is synchronisation of these strategies at the entire community level is unclear. Here, we combine trait data for 2800 above- and belowground taxa from 14 trophic guilds spanning a disturbance and resource availability gradient in German grasslands. The results indicate that most guilds consistently respond to these drivers through both direct and trophically mediated effects, resulting in a ‘slow-fast’ axis at the level of the entire community. Using 15 indicators of carbon and nutrient fluxes, biomass production and decomposition, we also show that fast trait communities are associated with faster rates of ecosystem functioning. These findings demonstrate that ‘slow’ and ‘fast’ strategies can be manifested at the level of whole communities, opening new avenues of ecosystem-level functional classification.
The role of regional health policy for socioeconomic inequality in health services utilization
(2022)
Background
“J1” is a preventative routine examination in Germany recommended for adolescents at the age of 12-14 years. In contrast to the well-established U1-U9 examinations for younger children, with participation rates above 90%, the attendance of the J1 examination is approximately only 40%. The most frequent reason for not attending J1 is the unawareness of this examination. “Ticket to J1” is an intervention including an information leaflet introduced in Bavaria in 2017 to inform adolescents about J1. The aims of the present analysis are to investigate (1) if the regional policy was effective in increasing the attendance in J1, (2) if the effects vary by family socioeconomic status (SES), and (3) which meso-level characteristics of the healthcare system correlate with attendance rates in J1.
Methods
We used anonymised data of a large statutory health insurance in Germany for the timeframe of 2016-2018. To investigate the effect of the policy, a difference-in-differences design at the individual level was used. Assuming a parallel trend at the level of federal states, the likelihood of attendance in J1 of 13- and 14-year-olds was compared between Bavaria and other federal German states before and after policy introduction. All analyses were additionally stratified by SES.
Results
The introduction of “Ticket to J1” increased participation in J1 by 1% after controlling for all confounders. Furthermore, the effect was stronger for children from families with lower SES (an increase of 5%). Density of pediatricians was positively significantly correlated with participation in J1.
Discussion
Regional health policy intervention had a significant positive impact on attendance of J1 and appears to have the potential to reduce socioeconomic inequalities in healthcare utilization. Informing adolescents about J1 seems to increase the attendance, in particular for children from families with lower SES.
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.
Einleitung Die J1 ist eine Vorsorgeuntersuchung, die für Kinder zwischen 12 und 14 Jahren empfohlen ist. Im Gegensatz zu den etablierten U1- bis U9-Untersuchungen für jüngere Kinder mit Teilnahmeraten über 90% liegt die Teilnahme bei der J1 bei etwa 40%. Ein Grund für die mangelnde Teilnahme an der J1 ist die geringe Bekanntheit bei Eltern und Kindern. Mehrere Bundesländer haben Einladungswesen eingeführt, um Jugendliche zur Teilnahme an der J1 zu motivieren. Die Einladung „Dein Ticket zur J1“ wurde Mitte 2017 in Bayern eingeführt. Das „Ticket“ ist ein Informationsflyer über die J1 in einer jugendgerechten Gestaltung. Die vorliegende Analyse untersuchte, ob die regionale Informationskampagne zu einer Steigerung der Teilnahme an der J1 geführt hat, ob die Effekte mit dem sozioökonomischen Status der Familie (SES) variieren und welche Meso-Ebene-Merkmale des Gesundheitssystems mit der J1-Teilnahme korrelieren.
Methoden Um die Wirkung der Intervention zu untersuchen, wurden bundesweite anonymisierte Routinedaten der Techniker Krankenkasse aus den Jahren 2016-2018 sowie ein Difference-in-Differences-Design auf individueller Ebene verwendet. Unter der Annahme eines parallelen Trends auf Bundesländerebene wurde die J1-Teilnahme von 13- und 14-Jährigen in Bayern mit anderen Bundesländern vor und nach der Intervention verglichen. Zusätzlich wurde die Analyse für die verschiedenen SES-Gruppen durchgeführt. Wir untersuchten auch, ob Faktoren auf Mesoebene des Gesundheitssystems mit der Teilnahme an der J1 korrelierten.
Ergebnisse Die Einführung von „Dein Ticket zur J1“ erhöhte die Teilnahme an der J1 um 1 %. Obwohl eine höhere Bildung und berufliche Stellung der Eltern positiv mit der J1-Teilnahme korrelierten, war der Effekt der Intervention bei Kindern aus Familien mit niedrigerem SES stärker (Anstieg um 5 %). Die Kinderarztdichte auf Kreisebene korrelierte zudem positiv mit der Teilnahme an der J1.
Schlussfolgerung Die Intervention hat das Potenzial, die sozioökonomische Ungleichheit bei der Inanspruchnahme von Gesundheitsleistungen zu verringern, da die Effekte für Kinder aus Familien mit niedrigerem SES stärker waren. Es bedarf jedoch weiterer Maßnahmen, um Jugendliche über die J1 und die damit verbundenen gesundheitlichen Vorteile zu informieren. Zukünftige Studien sollten untersuchen, von welchen weiteren Faktoren die Wirksamkeit der Intervention abhängt, wie z. B. die Art und Anzahl der Kommunikationskanäle.
Background: By explaining the development of health inequalities, eco-social theories highlight the importance of social environments that children are embedded in. The most important environment during early childhood is the family, as it profoundly influences children’s health through various characteristics. These include family processes,
family structure/size, and living conditions, and are closely linked to the socioeconomic position (SEP) of the family. Although it is known that the SEP contributes to health inequalities in early childhood, the effects of family characteristics on health inequalities remain unclear. The objective of this scoping review is to synthesise existing research on the mediating and moderating effects of family characteristics on socioeconomic health inequalities (HI) during early childhood in high-income countries.
Methods: This review followed the methodology of “Preferred Reporting Items for Systematic reviews and Meta-Analyses extension for Scoping Reviews”. To identify German and English scientific peer-reviewed literature published from January 1st, 2000, to December 19th,
2019, the following search term blocks were linked with the logical operator “AND”: (1) family structure/size, processes, living conditions, (2) inequalities, disparities, diversities, (3) income, education, occupation, (4) health and (5) young children. The search covered the electronic databases PubMed, PsycINFO, and Scopus.
Results: The search yielded 7,089 records. After title/abstract and full-text screening, only ten peer-reviewed articles were included in the synthesis, which analysed the effects of family characteristics on HI in early childhood. Family processes (i.e., rules /descriptive norms, stress, parental screen time, parent–child conflicts) are identified to have mediating or moderating effects. While families’ living conditions (i.e., TVs in children’s bedrooms) are suggested as
mediating factors, family structure/size (i.e., single parenthood, number of children in the household) appear to moderate health inequalities. Conclusion: Family characteristics contribute to health inequalities in early childhood. The results provide overall
support of models of family stress and family investment. However, knowledge gaps remain regarding the role of family health literacy, regarding a wide range of children’s health outcomes (e.g., oral health, inflammation parameters, weight, and height), and the development of health inequalities over the life course starting at birth.
Background:
While health inequalities among young people are well described, the underlying mechanisms have been explored far less. Compositional and contextual characteristics of institutional contexts (e.g. kindergartens, schools) are likely to shape health inequalities among young people and may have an impact above and beyond individual-level determinants. The general research objectives of the research unit are to empirically study if characteristics of different institutional contexts are associated with the emergence of individual-level inequalities in health and c) to integrate findings from different life stages into a comprehensive theoretical model about the key mechanisms at individual and contextual levels.
Methods and analysis:
Building upon reviews of the existing evidence, each of the five subprojects of the research unit will analyse secondary data (cross-sectional and longitudinal surveys). The subprojects will focus on institutional contexts that serve as major socialization agents in society, such as the family, kindergarten, school, tertiary education/work, as well as the health care system. Linear or logistic multilevel modelling will be applied in order to examine the role of institutional characteristics for young people's health and health inequalities at the individual level.
Ethics and dissemination:
The dissemination activities include the publication of results in peer-reviewed journals, at international and national scientific conferences, as well as press releases in written and broadcast media to inform relevant stakeholders and the lay public. In the first funding stage, the research unit only uses secondary data of existing datasets. Therefore, ethical approval is not required.
Introduction: Early childhood is an important life stage which is crucial for determining health and health inequalities in later life. At the meso-level (institutional-level), early childcare facilities (eg, kindergartens, preschools) are the most important agent of socialisation next to families in young children aged 06 years. In recent years, an increasing amount of studies has focused on contextual and compositional characteristics of early childcare facilities and their association with health (eg, self-rated health), health behaviour (eg, physical activity) and well-being (eg, emotional well-being) in this age group. However, as currently no overview of the available literature on this topic exists, we will conduct a scoping review including various study designs (eg, cross-sectional studies, prospective studies, qualitative studies).
Methods and analysis: We will follow the Preferred Reporting Items for Systematic reviews and Meta-Analyses extension for Scoping Reviews. A systematic search of the following scientific databases will be conducted: PubMed/Medline, PsycInfo, Sociological Abstracts, Education Resources Information Center and The Cochrane Library. During the selection process, we will follow a two-step process. First, two reviewers will independently screen titles/abstracts of all potentially eligible articles by applying a set of previously defined inclusion and exclusion criteria. After the completion of the title/abstract screening, full texts of the remaining articles will be screened following the same procedure. To determine inter-rater agreement between reviewers, we will calculate Cohen’s Kappa after both steps. Key characteristics (eg, country of origin, sample size, study design) of included articles will be extracted. We will map the evidence available by providing a summary table on the key characteristics extracted and by presenting the associations using various types of illustrations.
Ethics and dissemination: Since no primary data will be collected for this review, ethical approval is not required. Our findings will be published in an international peer-reviewed journal and presented at national and international conferences.
Characteristics of early childhood education and care (ECEC) centers might be relevant for children’s health. This scoping review aims to provide an overview of the association between meso-level characteristics (MLCs) of ECEC centers with children’s health, health behavior, and wellbeing. Five databases were searched for quantitative and qualitative research articles published in English or German since 1 January 2000 on health, health behavior, and wellbeing of children aged 0 to 6 years considering MLCs of ECEC centers. Two authors screened 10,396 potentially eligible manuscripts and identified 117 papers, including 3077 examinations of the association between MLCs and children’s health indicators (Kappas > 0.91). Five categories of MLCs were identified: (1) structural characteristics, (2) equipment/furnishings, (3) location, (4) facilities/environment, (5) culture/activities/policies/practices, and 6) staff. Only very few studies found an association of MLCs with body weight/obesity, and general health and wellbeing. Especially physical activity and mental health were related to MLCs. In general, the location (rural vs. urban, neighborhood status) seemed to be a relevant health aspect. MLCs of ECEC centers appeared relevant for child health indicators to different degrees. Future research should focus on these associations, in detail, to identify concrete ECEC indicators that can support health promotion in early childhood.
Background: In Germany, various preventive services are offered to children and adolescents. These include regular standardized examinations (so called U/J examinations) and several vaccinations. Although strongly recommended, most of them are not mandatory. Our aim is to identify factors associated with the use of U/J examinations and vaccination against diphtheria, hepatitis B, Hib, pertussis, polio, and tetanus. While previous research has focused on sociodemographic factors, we also include socioeconomic, behavioral, and psychosocial factors.
Methods: We analyzed cross-sectional data from 15,023 participants (aged 0-17 years) of the nationwide representative KiGGS Wave 2 Survey. Participation in U/J examinations was assessed using a questionnaire, filled out by participants and/or their parents. Information on vaccination status was drawn from the participants' vaccination booklets. To identify relevant determinants for the use of preventive examinations and vaccinations, unadjusted and adjusted logistic regression models were employed with up to 16 different independent variables.
Results: Various independent variables showed an association with the use of preventive services. Higher socioeconomic status, absence of migration background, and lower household size were associated with significantly higher utilization of U examinations. Parents' marital status, area of residence, behavioral and psychosocial factors yielded insignificant results for most U/J examinations. Higher vaccination rates were found for children with no migration background, with residence in eastern Germany, lower household size, and with married parents.
Conclusion: This study attempted to depict the influence of sociodemographic, psychosocial, and behavioral factors on the use of several preventive services. Our results indicate that predominantly sociodemographic variables influence the use of preventive services. Further efforts should be made to investigate the interplay of different determinants of healthcare use in children and adolescents.
Do families have moderating or mediating effects on early health inequalities? A scoping review
(2021)
Background
During early childhood, families have a crucial impact on children's health behaviour, health, and development (bhd). However, a family's socioeconomic position (SEP) determines both the parental behaviour, living conditions, and child health. To understand how family characteristics may influence the development of health inequalities, this scoping review synthesised research on their mediating and moderating effects.
Methods
The review followed the guidelines of the PRISMA Extension for Scoping Reviews. The search included German and English peer-reviewed articles published between January 1st, 2000 and December 19th, 2019. The search in PubMed, PsycINFO, and Scopus used both free text terms in the title/abstract and index terms within linked keyword blocks: (1) family characteristics, (2) inequalities, (3) income, education, occupation, (4) bhd, (5) newborn, infant, toddler, preschooler. Two researchers independently examined eligibility for inclusion in two rounds (title/abstract; full-text).
Results
Of 7,089 articles identified, ten sources were included that studied family characteristics and health inequalities among 0-6 years olds. Parental rules, stress, and screentime, and TV in bedroom showed mediating effects on inequalities in behaviour problems or children's screentime. Families' negativity, single parenthood, and the number of children in the household moderated differences in impairment, health, behaviour problems, development or breastfeeding initiation.
Conclusions
The effect of family characteristics on early health inequalities has been sparsely investigated. The evidence supported models of family stress and investment. Further research is needed to comprehensively understand this association.
Key messages
Family characteristics contribute to health inequalities.
Taking families’ stress and investment into account could improve targeted prevention efforts aimed at reducing health inequalities.
Background
The number of obese children is rising worldwide. Many studies have investigated single determinants of children’s body mass index (BMI), yet studies measuring determinants at different potential levels of influence are sparse. The aim of this study is to investigate the independent role of parental socioeconomic position (SEP), additional family factors at the micro level, as well as early childhood education and care (ECEC) centre characteristics at the meso level regarding BMI.
Methods
Analyses used the baseline data of the PReschool INtervention Study (PRINS) including up to 1,151 children from 53 ECEC centres. Multi-level models first estimated the associations of parental SEP indicators (parental school education, vocational training, and household income) with the children’s standard deviation scores for BMI (SDS BMI, standardised for age and gender). Second, structural (number of siblings), psychosocial (strained family relationships), and nutrition behavioural (soft-drink consumption, frequency of fast-food restaurant visits) family factors at the micro level were included. Third, characteristics of the ECEC centre at the meso level in terms of average group size, the ratio of overweight children in the group, ECEC centre type (all-day care), and the location of the ECEC centre (rural vs urban) were included. All analyses were stratified by gender and adjusted for age, migration background, and parental employment status.
Results
Estimates for boys and girls appeared to differ. In the full model, for boys the parental SEP indicators were not related to SDS BMI. Factors related to SDS BMI in boys were: two or more siblings; B = -.55; p = 0.045 [ref.: no sibling]), the characteristics of the ECEC centre in terms of average group size (20 – 25 children; B = -.54; p = 0.022 [ref.: < 20 children]), and the ratio of overweight children (more overweight children B = -1.39; p < 0.001 [ref.: few overweight children]). For girls the number of siblings (two and more siblings; B = .67; p = 0.027 [ref.: no sibling]) and average group size (> 25 children; B = -.52; p = 0.037 [ref.: < 20 children]) were related to SDS BMI.
Conclusions
The BMI of preschool children appears to be associated with determinants at the micro and meso level, however with some gender differences. The identified factors at the micro and meso level appear largely modifiable and can inform about possible interventions to reduce obesity in preschool children.