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Migrant*innen haben gesundheitliche Vor- und Nachteile gegenüber der nicht-migrierten Bevölkerung. Der Zusammenhang zwischen Migration und Gesundheit ist mehrdimensional, weitere – insbesondere soziale – Faktoren müssen bei der Interpretation beachtet werden. Erklärungsmodelle bilden die Komplexität des Zusammenhangs ab. Die zentralen Modelle haben eine Perspektive auf den gesamten Lebenslauf von migrierten Menschen (vor, während und nach der Migration). Sie helfen der kommunalen Gesundheitspolitik, geeignete Daten zu erheben und wirksame Interventionen zu entwickeln.
Migrants and their offspring, referred to as people with a migration background in this article, are an utmost heterogeneous group whose health situation can be better, similar or worse compared to the health of the population without a migration background. A better understanding of the health of people with a migration background requires the consideration of their individual life course as well as several additional explanatory factors. The latter include, for instance, their social position, age, and gender, as well as the policies, health care system, social climate, living situation, and length of stay in the destination country. Particularly promising public health strategies for migrant health include a combination of migration sensitive and migration specific offers, setting approaches, and inclusionary public health approaches that critically reflect on mechanisms of othering, marginalization, and exclusion.
Background: In Germany, more than 4.65 million people are currently living with a cancer diagnosis. Patients can benefit from a healthy lifestyle both during and after therapy. In order to provide patients with practical and scientifically based information on health behavior, the authors developed “Aktiv leben mit Krebs” (ALMIK) using participatory program planning.
Methods: A non-blinded randomized controlled trial with intervention (IG) and wait list control group (WCG) was conducted at NCT/UCC Dresden and UCCSH in Kiel in 2022/2023 with a convenience sample of n=227 patients during and after therapy (65.7 years ± 11.7, 54.2% male). IG and WCG received a questionnaire at baseline and after 1 month. IG received the ALMIK brochure and a link to the website with videos. Changes in health literacy (HLS-EU Q) and acceptance were assessed.
Result: Acceptance of ALMIK in IG was high: 94.1% of all n=109 patients in the IG reported having used the brochure. 40.4% had visited the website. Videos were used by 36.7%. Almost all patients rated the brochure as understandable (97.8%), relevant (90.3%) and clearly presented (98.9%).
Patients also rated the website as well-structured (95.6%) and attractively designed (97.6%), and the videos as understandable (93.0%) and relevant (79.1%). Overall, 97.8% were satisfied with the program and 98.9% would recommend it to others. Patients of IG did not achieve higher HLS-score
in comparison to WCG (p=0.75).
Discussion: The brochure was used by many patients and was very well accepted. The website and videos were used less frequently, but overall by more than one-third of patients, who were also satisfied with them. Health literacy was not increased by ALMIK, which may be due to the low
intervention strength.
Conclusion: The high number of participants who used ALMIK indicates a high need for health behavior information for cancer patients. Patient involvement has proven to be an important component in creating well accepted program materials
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: Besides macrolevel characteristics of a health care system, mesolevel access characteristics can exert influence on socioeconomic inequalities in healthcare use. These reflect access to healthcare, which is shaped on a smaller scale than the national level, by the institutions and establishments of a health system that individuals interact with on a regular basis. This scoping review maps the existing evidence about the influence of mesolevel access characteristics and socioeconomic position on healthcare use. Furthermore, it summarizes the evidence on the interaction between mesolevel access characteristics and socioeconomic inequalities in healthcare use.
Methods: We used the databases MEDLINE (PubMed), Web of Science, Scopus, and PsycINFO and followed the 'Preferred Reporting Items for Systematic Review and Meta-Analysis Protocols extension for scoping reviews (PRISMA-ScR)' recommendations. The included quantitative studies used a measure of socioeconomic position, a mesolevel access characteristic, and a measure of individual healthcare utilisation. Studies published between 2000 and 2020 in high income countries were considered.
Results: Of the 9501 potentially eligible manuscripts, 158 studies were included after a two-stage screening process. The included studies contained a wide spectrum of outcomes and were thus summarised to the overarching categories: use of preventive services, use of curative services, and potentially avoidable service use. Exemplary outcomes were screening uptake, physician visits and avoidable hospitalisations. Access variables included healthcare system characteristics such as physician density or distance to physician. The effects of socioeconomic position on healthcare use as well as of mesolevel access characteristics were investigated by most studies. The results show that socioeconomic and access factors play a crucial role in healthcare use. However, the interaction between socioeconomic position and mesolevel access characteristics is addressed in only few studies.
Conclusions: Socioeconomic position and mesolevel access characteristics are important when examining variation in healthcare use. Additionally, studies provide initial evidence that moderation effects exist between the two factors, although research on this topic is sparse. Further research is needed to investigate whether adapting access characteristics at the mesolevel can reduce socioeconomic inequity in health care use.
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.
Digitalisierung und Gesundheit: Ergebnisse einer zweiten bundesweiten Befragung in Deutschland
(2024)
Diese Studie untersuchte Einstellungen zu und Nutzung von digitalen Technologien im Gesundheitskontext anhand einer zweiten bundesweiten Befragung von Internetnutzenden in Deutschland. Unser Ziel war es zu ermitteln, ob und wie sich Einstellungen zu und Nutzung von digitalen Technologien im Gesundheitskontext zwei Jahre nach der ersten Befragung verändert haben.
Gestational diabetes mellitus (GDM) is a growing public health issue in many low and middle-income countries (LMICs), making up about 90% of the global burden of GDM. Additionally, LMICs' healthcare systems are already overwhelmed by the prevalence of communicable diseases. It is crucial to understand the patterns of GDM in sub-Saharan African countries. Early detection, lifestyle and medication interventions, regular prenatal visits and effective postpartum management can help avert the future development of type 2 diabetes. GDM services present opportunities for preventive and treatment strategies for women with GDM. However, various factors contribute to challenges and obstacles in accessing GDM services, particularly suboptimal postpartum screening and follow-up. This study aims to investigate the societal and healthcare factors that facilitate or hinder access to and use of GDM services, as well as the factors that promote or obstruct the management and treatment of GDM, in Kenya, using a postcolonial theoretical approach.
Objective: People of Turkish origin (also referred to as “with a Turkish migrant background”) are one of the largest migrant groups in Germany and show disparities across different stress-related health outcomes. Specifically, women of Turkish origin in Germany have a greater risk for some mental health issues and adverse pregnancy and birth outcomes compared to women without migrant background. We tested differences between women of Turkish origin and women without migrant background in self-reported pregnancy and postpartum stress experiences and depressive symptoms. Methods: 32 women of Turkish origin (mean age 29.7 years) and 77 women without migrant background (mean age 32 years) participated in a multi-site prospective cohort study with two study visits during pregnancy and one month postpartum. Women provided sociodemographic data and completed the Perceived Stress Scale (PSS) and the Center for Epidemiology – Depression (CESD) scale at each study visit. Results: Using hierarchical linear models, we found that women of Turkish origin (both first and second gen-
eration) reported more perceived stress (b = 0.57, CI: 0.29–0.84, p < 0.001) and depressive symptoms (b = 0.32, CI = 0.14–0.49, p < 0.001) compared to women without migrant background across gestation. A linear regression analysis showed that there was also a significant difference in depressive symptoms at one month postpartum (b = 0.35, CI = 0.03–0.66, p < 0.05). Conclusion: Tailored psychosocial interventions are needed to address mental health needs of pregnant Turkish origin women and to intervene on the possible transmission of stress-related health disadvantages to their offspring.
Background
Social health inequalities are still of great public health importance in modern societies. The COVID-19 pandemic may have affected social inequalities in people's health due to containment measures. As these measures particularly affected children, they might have been particularly vulnerable to increased social inequalities. The aim of the study was to describe health inequalities during the pandemic based on language delay (LD) in children in order to inform public health interventions for a population at risk of long-term health and education inequalities.
Methods
Data of 5–7 year old children from three consecutive school entry surveys in the German federal state of Brandenburg were used, including data compulsorily collected before the pandemic (2018/2019: n = 19,299), at the beginning of the pandemic (2019/2020: n = 19,916) and during the pandemic (2020/2021: n = 19,698). Bivariate and multivariate binary regression analyses [OR, 95% CI] cross-sectionally examined the relationship between the prevalence of LD [yes/no] and social inequalities, operationalized by family socioeconomic position [SEP low/middle/high], migration background [native-German language/non-native German language] and length of kindergarten attendance [< 4 years/ ≥ 4 years]. Factors contributing to inequality in LD were examined by socioeconomic stratification.
Results
Cross-sectionally, LD prevalence has decreased overall (2018/2019: 21.1%, 2019/2020: 19.2%, 2020/2021: 18.8%), and among children from both high SEP and native German-speaking families. As LD prevalence increased among children from families with low SEP and remained stable among non-native German speakers, social inequalities in LD prevalence increased slightly during the pandemic i) by low SEP (2018/2019: OR = 4.41, 3.93–4.94; 2020/2021: OR = 5.12, 4.54–5.77) and ii) by non-German native language (2018/2019: OR = 2.22, 1.86–2.66; 2020/2021: OR = 2.54, 2.19–2.95). During the pandemic, both migration background and kindergarten attendance determined LD prevalence in the high and middle SEP strata. However, the measured factors did not contribute to LD prevalence in children from families with low SEP.
Conclusion
Social inequalities in LD increased due to opposing trends in prevalence comparing low and high SEP families. To promote health equity across the life course, early childhood should be of interest for tailored public health actions (e.g. through targeted interventions for kindergarten groups). Further analytical studies should investigate determinants (e.g., parental investment).