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Institute
BTU
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.
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.
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.
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: 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.
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.
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: 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.
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.