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Institute
Background: At the end of secondary education, young people can either start vocational training, enter university, directly transition to employment or become unemployed. Research assumes that post-secondary pathways have immediate and/or long-term impacts on health and well-being, but empirical investigations on this are scarce and
restricted to few countries. Therefore, this study traced the development of health and well-being throughout the highly institutionalised school-to-work transition (STWT) in Germany.
Methods: We used longitudinal data of the National Educational Panel Study (NEPS), a representative sample of 11,098 school-leavers (50.5% girls) repeatedly interviewed between 2011 and 2020. We estimated the effect of post-secondary transitions on self-rated health and subjective well-being by applying fixed-effects (FE) regression, elimi-nating bias resulting from time-constant confounding and self-selection into different pathways. A multiple-sample strategy was used to account for the increasing diversity of STWTs patterns. Models were controlled for age, as well as household and residential changes to minimise temporal heterogeneity. Results: Findings indicate that leaving school was good for health and well-being. Compared with participants who did not find a training position after school, direct transitions to vocational training or university were linked to higher
absolute levels of health and well-being, but also to a lower relative decline over time. Furthermore, upward transi-tions (e.g. to programs leading to better education or from unemployment to employment) were associated with improvements in health and well-being, while downward transitions were followed by deteriorations. Conclusion: Findings suggest that school-leave is a sensitive period and that post-secondary pathways provide young people with different abilities to maintain health and well-being. Youth health interventions might benefit when setting a stronger focus on unsuccessful school-leavers.
Dieser Beitrag gibt einen Überblick über theoretische Konzepte sowie epidemiologisch-empirische Erkenntnisse zu Häufigkeit und Determinanten psychischer Erkrankungen bei zugewanderten Menschen sowie zur Inanspruchnahme und Versorgungspraxis. Auf der Basis dieser Erkenntnisse werden vielversprechende Ansätze der Versorgungspraxis sowie der weiteren Forschung vorgestellt.
Background
Immigrants from Turkey experience health disadvantages relative to non-immigrant populations in Germany that are manifest from the earliest stages of the lifespan onwards and are perpetuated across generations. Chronic stress and perturbations of stress-responsive physiological systems, including the hypothalamus-pituitary-adrenal (HPA)-axis, are believed to in part mediate this relationship. Cortisol plays an important role in the association between maternal stress during pregnancy and many pregnancy-, birth- and offspring-related outcomes. We therefore examined whether maternal migrant background is associated with diurnal cortisol variation during pregnancy.
Methods
109 pregnant women (incl. n = 32 Turkish origin women) that participated in a multi-site prospective cohort study in Germany collected saliva samples across the day on two consecutive days around 24 and 32 weeks gestation. Hierarchical linear models were applied to quantify associations between migrant background and diurnal cortisol variation across pregnancy.
Results
Women of Turkish origin exhibited a significantly lower cortisol awakening response (CAR) and a flatter diurnal cortisol slope (DCS) compared to non-migrant women after adjusting for household income. These relationships between migrant status and diurnal cortisol variation were mainly driven by 2nd generation migrants.
Discussion
A potential HPA axis dysregulation of Turkish-origin pregnant women may contribute to the intergenerational transmission of health disadvantages in this group.
Objectives:
Mothers of young children have been identified as a particularly vulnerable group during the COVID-19 pandemic. We aimed to explore how occupational, psychosocial and partnership-related factors were associated with their self-reported mental well-being during the first COVID-19 wave.
Methods:
Five hundred fifty participants of the BaBi cohort study (est. 2013, Bielefeld, North-Rhine Westphalia, Germany) were invited to complete an online survey and to take part in email interviews (April–May 2020). With survey data, we assessed self-reported mental well-being through validated instruments (eight-item Patient Health Questionnaire; short version of the Symptom Checklist) and ran linear regression models for occupational, psychosocial and partnership-related factors. We performed content analysis on the interviews’ data to further understand the determinants of the women’s mental well-being.
Results:
One hundred twenty-four women participated in the survey; of which 17 also participated in the interviews. A perceived lack of support in childcare was associated with higher levels of depressive symptoms, while having a higher internal locus of control was associated with lower levels. Psychological distress was higher in those reporting lack of emotional or childcare support. Interviews confirmed the interplay of potential stressors and highlighted the difficulties to reconcile different expectations of motherhood.
Discussion:
Occupational, psychosocial and partner-related factors can act (to varying degree) both as resources and stressors to the self-reported mental well-being of mothers of young children. These impacts took different forms and created opportunities or challenges, depending on specific life circumstances, such as work or family situations, relationships and own psychosocial resources. Although not representative, our study contributes to building the COVID-19 evidence base, delineating the mental health toll of the pandemic on mothers of young children and the factors that contribute to it.
Kernaussagen:
- Menschen mit Migrationshintergrund sind nicht per se kränker oder gesünder als die Bevölkerung ohne Migrationshintergrund. Expositionen vor, während und nach der Migration können aber unterschiedliche Gesundheitsressourcen und Krankheitsrisiken mit sich bringen.
- Über das Merkmal „Migrationshintergrund“ hinaus variiert eine Vielzahl an Krankheitsrisiken abhängig vom sozioökonomischen Status (SES), dem Alter, Geschlecht und der Aufenthaltsdauer im Zielland.
- Bei 11 bis 17-jährigen Kindern und Jugendlichen mit und ohne Migrationshintergrund bestehen kaum Unterschiede in der Selbsteinschätzung der körperlichen Gesundheit.
- Erwachsene mit Migrationshintergrund aus spezifischen Herkunftsländern weisen statistisch ein geringeres Risiko für bösartige Neubildungen wie Brust-, Haut- oder Lungenkrebs sowie für Herz-Kreislauf-Erkrankungen auf. Erhöhte Risiken bestehen für Arbeitsunfälle, psychsiche Erkrankungen sowie in einzelnen Sub-Gruppen für Infektionskrankheiten wie Tuberkulose, Hepatitis und HIV.
- Ausländische Säuglinge, Kinder und Jugendliche in Deutschland weisen eine höhere Mortalitätsrate auf als deutsche Gleichaltrige. Zugewanderte Menschen im Alter von 20 bis 60 Jahren haben eine geringere, im Alter von 65 bis 69 Jahren eine höhere Mortalitätsrate als die nicht-migrierte Bevölkerung.
- Die Sterblichkeit ausländischer Personen gleicht sich mit zunehmender Aufenthaltsdauer in Deutschland an das Mortalitätsmuster der einheimischen Bevölkerung an.
Background
Evaluation of the current physical therapy practice for German stroke rehabilitation with respect to the ‘Rehabilitation of Mobility after Stroke (ReMoS)’ guideline recommendations and the associated implementation factors.
Methods
A descriptive cross-sectional study employing an online survey was performed among German physical therapists in 2019. The survey consisted of three sections with open and closed questions: 1) self-reported use of ReMoS recommendations, 2) barriers of guideline use and 3) socio-demographic characteristics. The benchmark level for guideline adherent physical therapy was set at > 80%.
Results
Data from 170 questionnaires were eligible for analysis. Participants’ mean age was 41.6 years, 69.4% were female, while 60.1% had no academic degree. The ReMoS guideline was unknown to 52.9% of the responders. Out of all the 46 ReMoS guideline recommendations, only ‘intensive walking training without a treadmill’ was reported to be performed in a guideline adherent manner. Respondents usually denied any personal limitations, such as limited knowledge, or that the ReMoS guideline did not fit their routine practice.
Conclusions
Among German physical therapists, the ReMoS guideline is not well-known and many interventions are not performed as recommended, illustrating the discrepancies between the ReMoS guideline recommendations and current physical therapy practice. Interventions aimed at overcoming this gap should consider both knowledge of existing barriers and facilitators of guideline usage.
Objective: Evidence-based guidelines are important for informing clinical decision-making and improving patient outcomes. There is inconsistent usage of guidelines among physical therapists involved in stroke rehabilitation, suggesting the existence of a gap between theory and practice. Addressing the German guideline “evidence-based rehabilitation of mobility after stroke (ReMoS),” the aims of this project are (1) to describe the current physical therapy practice within the context of stroke rehabilitation in Germany, (2) to evaluate barriers and facilitators of guideline usage, (3) to develop, and (4) to pilot test a theory-based, tailored implementation intervention for the benefit of guideline recommendations.
Materials and Methods: This study uses a stepwise mixed methods approach for implementing a local guideline. A self-reported online questionnaire will be used to survey the current physical therapy practice in stroke rehabilitation. The same survey and systematic-mixed methods review will be used to evaluate the barriers and facilitators of guideline usage quantitatively. Semi-structured interviews will add a qualitative perspective on factors that influence ReMoS guideline implementation. The Behavior Change Wheel and Theoretical Domains Framework will be used to support the development of a tailored implementation intervention which will be pilot tested in a controlled study. Patient and physical therapy-related outcomes, as well as the appropriateness, such as acceptance and feasibility of the tailored implementation intervention, will be analyzed.
Conclusion: This will be the first endeavor to implement a guideline in German stroke rehabilitation with a focus on changing care provider behavior based on the knowledge of current practice and determining factors using a tailored and theory-based intervention.
Background: The Covid-19 pandemic led to increased work-related strain and psychosocial burden in nurses worldwide, resulting in high prevalences of mental health problems. Nurses in long-term care facilities seem to be especially affected by the pandemic. Nevertheless, there are few findings indicating possible positive changes for health care workers. Therefore, we investigated which psychosocial burdens and potential positive aspects nurses working in long-term care facilities experience during the Covid-19 pandemic.
Methods: We conducted a mixed-methods study among nurses and nursing assistants working in nursing homes in Germany. The survey contained the third German version of the Copenhagen Psychosocial Questionnaire (COPSOQ III). Using Welch's t-tests, we compared the COPSOQ results of our sample against a pre-pandemic reference group of geriatric nurses from Germany. Additionally, we conducted semi-structured interviews with geriatric nurses with a special focus on psychosocial stress, to reach a deeper understanding of their experiences on work-related changes and burdens during the pandemic. Data were analysed using thematic coding (Braun and Clarke).
Results: Our survey sample (n = 177) differed significantly from the pre-pandemic reference group in 14 out of 31 COPSOQ scales. Almost all of these differences indicated negative changes. Our sample scored significantly worse regarding the scales 'quantitative demands', 'hiding emotions', 'work-privacy conflicts', 'role conflicts', 'quality of leadership', 'support at work', 'recognition', 'physical demands', 'intention to leave profession', 'burnout', 'presenteeism' and 'inability to relax'. The interviews (n = 15) revealed six main themes related to nurses' psychosocial stress: 'overall working conditions', 'concern for residents', 'management of relatives', 'inability to provide terminal care', 'tensions between being infected and infecting others' and 'technicisation of care'. 'Enhanced community cohesion' (interviews), 'meaning of work' and 'quantity of social relations' (COPSOQ III) were identified as positive effects of the pandemic.
Conclusions: Results clearly illustrate an aggravation of geriatric nurses' situation and psychosocial burden and only few positive changes due to the Covid-19 pandemic. Pre-existing hardships seem to have further deteriorated and new stressors added to nurses' strain. The perceived erosion of care, due to an overemphasis of the technical in relation to the social and emotional dimensions of care, seems to be especially burdensome to geriatric nurses.
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.
Objectives The main objective was to systematically map evidence regarding the emergence of health inequalities in individuals aged 16–24 years during school-to-work and school-to-university transition (STWT). Second, we aimed to summarise the evidence on potential effects of contextual and compositional characteristics of specific institutional contexts entered during STWT on health and health behaviours.
Design Scoping review.
Study selection Relevant literature was systematically searched following the methodological framework proposed by Arksey and O’Malley. Ovid MEDLINE and Web of Science, and websites of the International Labour Organization and National Institute for Occupational Safety and Health were searched, using a predetermined search strategy. Articles in English or German published between 1 January 2000 and 3 February 2020 were considered.
Data extraction To collect the main information from the selected studies, a data extraction spreadsheet was created. Data were summarised and grouped into five health outcomes and five institutional contexts (school, vocational training, university, work, unemployment).
Results A total of 678 articles were screened for inclusion. To be able to draw a picture of the development of various health outcomes over time, we focused on longitudinal studies. Forty-six prospective studies mapping health-related outcomes during STWT were identified. Higher family socioeconomic position (SEP) was associated with higher levels of health behaviour and lower levels of health-damaging behaviour, but there was also some evidence pointing in the opposite direction. Disadvantaged family SEP negatively impacted on mental health and predicted an adverse weight development. There was limited evidence for the outcomes physical/somatic symptoms and self-rated health. Meso-level characteristics of the institutional contexts identified were not systematically assessed, only individual-level factors resulting from an exposure to these contexts, rendering an analysis of effects of contextual and compositional characteristics on health and health behaviours impossible.
Conclusions This scoping review demonstrated a wide range of health inequalities during STWT for various health outcomes. However, knowledge on the role of the core institutional contexts regarding the development of health inequalities is limited.
Background:
Clinical practice guidelines recommend specialist referral according to different criteria. The aim was to assess recommended and observed referral rate and health care expenditure according to recommendations from:
• Kidney Disease Improving Global Outcomes (KDIGO,2012)
• National Institute for Health and Care Excellence (NICE,2014)
• German Society of Nephrology/German Society of Internal Medicine (DGfN/DGIM,2015)
• German College of General Practitioners and Family Physicians (DEGAM,2019)
• Kidney failure risk equation (NICE,2021)
Methods:
Data of the population-based cohort Study of Health in Pomerania were matched with claims data. Proportion of subjects meeting referral criteria and corresponding health care expenditures were calculated and projected to the population of Mecklenburg-Vorpommern.
Results:
Data from 1927 subjects were analysed. Overall proportion of subjects meeting referral criteria ranged from 4.9% (DEGAM) to 8.3% (DGfN/DGIM). The majority of patients eligible for referral were ≥ 60 years. In subjects older than 60 years, differences were even more pronounced, and rates ranged from 9.7% (DEGAM) to 16.5% (DGfN/DGIM). Estimated population level costs varied between €1,432,440 (DEGAM) and €2,386,186 (DGfN/DGIM). From 190 patients with eGFR < 60 ml/min, 15 had a risk of end stage renal disease > 5% within the next 5 years.
Conclusions:
Applying different referral criteria results in different referral rates and costs. Referral rates exceed actually observed consultation rates. Criteria need to be evaluated in terms of available workforce, resources and regarding over- and underutilization of nephrology services.
Predictors and prevalence of hazardous alcohol use in middle-late to late adulthood in Europe
(2022)
Objectives: Even low to moderate levels of alcohol consumption can have detrimental health consequences, especially in older adults (OA). Although many studies report an increase in the proportion of drinkers among OA, there are regional variations. Therefore, we examined alcohol consumption and the prevalence of hazardous alcohol use (HAU) among men and women aged 50+ years in four European regions and investigated predictors of HAU.
Methods: We analyzed data of N = 35,042 participants of the European SHARE study. We investigated differences in alcohol consumption (units last week) according to gender, age and EU-region using ANOVAs. Furthermore, logistic regression models were used to examine the effect of income, education, marital status, history of a low-quality parent–child relationship and smoking on HAU, also stratified for gender and EU-region. HAU was operationalized as binge drinking or risky drinking (<12.5 units of 10 ml alcohol/week).
Results: Overall, past week alcohol consumption was 5.0 units (±7.8), prevalence of HAU was 25.4% within our sample of European adults aged 50+ years. Male gender, younger age and living in Western Europe were linked to both higher alcohol consumption and higher risks of HAU. Income, education, smoking, a low-quality parent–child relationship, living in Northern and especially Eastern Europe were positively associated with HAU. Stratified analyses revealed differences by region and gender.
Conclusions: HAU was highly prevalent within this European sample of OA. Alcohol consumption and determinants of HAU differed between EU-regions, hinting to a necessity of risk-stratified population-level strategies to prevent HAU and subsequent alcohol use disorders.
Atherosclerotic coronary artery disease (CAD) is the leading cause of mortality worldwide.1 In this context, the burden of CAD shows considerable regional heterogeneity at the national level. For example, age-standardized mortality rates varied between 106 and 178 deaths per 100 000 at the level of German federal states in 2019.2 The regional heterogeneity of cardiovascular mortality suggests that the residential environment should be considered as an important determinant for successful secondary prevention. Environmental features that were frequently drawn upon to explain regional inequalities of cardiovascular outcomes are spatial socioeconomic deprivation (SSD) and rurality.3 Rurality may impact cardiovascular health due to impaired access to healthcare services. Socioeconomically deprived neighbourhoods, on the other hand, exhibit restricted opportunities to eat healthy, exercise regularly, utilize health care, and avoid environmental hazards such as air pollution.
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).
Background
From birth to young adulthood, health and development of young people are strongly linked to their living situation, including their family’s socioeconomic position (SEP) and living environment. The impact of regional characteristics on development in early childhood beyond family SEP has been rarely investigated. This study aimed to identify regional predictors of global developmental delay at school entry taking family SEP into consideration.
Method
We used representative, population-based data from mandatory school entry examinations of the German federal state of Brandenburg in 2018/2019 with n=22,801 preschool children. By applying binary multilevel models, we hierarchically analyzed the effect of regional deprivation defined by the German Index of Socioeconomic Deprivation (GISD) and rurality operationalized as inverted population density of the children’s school district on global developmental delay (GDD) while adjusting for family SEP (low, medium and high).
Results
Family SEP was significantly and strongly linked to GDD. Children with the highest family SEP showed a lower odds for GDD compared to a medium SEP (female: OR=4.26, male: OR=3.46) and low SEP (female: OR=16.58, male: OR=12.79). Furthermore, we discovered a smaller, but additional and independent effect of regional socioeconomic deprivation on GDD, with a higher odds for children from a more deprived school district (female: OR=1.35, male: OR=1.20). However, rurality did not show a significant link to GDD in preschool children beyond family SEP and regional deprivation.
Conclusion
Family SEP and regional deprivation are risk factors for child development and of particular interest to promote health of children in early childhood and over the life course.
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.
Objectives: To synthesise the evidence on the role of compositional or contextual characteristics of schools in the association between students' socioeconomic position and their health in primary and secondary education in developed economies.
Design: Scoping review. We included studies examining the role of at least one school or class characteristic on students' health inequalities and was published since 1 January 2000, in English or German. We searched PubMed/Medline, Web of Science and Education Resources Information Center. We provided a narrative synthesis and an overview of findings. School characteristics were grouped into five broad categories: school composition, school climate, school policies and organisation, food environment and facilities.
Results: Of 8520 records identified, 26 studies were included. Twelve studies found a moderating and 3 a mediating effect. The strongest evidence came from studies examining the moderating effect of school composition, that is, the negative impact of a low individual socioeconomic position on mental health and well-being was aggravated by a low average socioeconomic position of schools. Evidence concerning the role of school climate, school stratification (eg, performance base tracking) and sponsorship, food environment and sport facilities and equipment was generally weak or very weak and mostly based on singular findings. Overall, favourable meso-level characteristics mitigated the negative impact of low individual socioeconomic position on health outcomes.
Conclusions: School characteristics affect health inequalities in children and adolescents to some degree, but future research is necessary to strengthen the existing evidence and address under-represented aspects in school characteristics and health outcomes.
Der Zusammenhang zwischen Migration und Gesundheit ist vielschichtig. In aktuellen Erklärungsmodellen werden verschiedene Determinanten und Dimensionen angeführt, die über den Lebenslauf von Migranten zu gesundheitlichen Vor- und Nachteilen führen können. Gesundheitsversorgung und Public Health in einem Einwanderungsland wie Deutschland müssen diese gesundheitlichen Unterschiede beachten und – neben den bei besonderen Risikokonstellationen notwendigen gezielten Maßnahmen für Migranten – sich insgesamt so ausrichten, dass sie der Diversität der Bevölkerung gerecht werden. Besondere Chancen bieten dabei Ansätze, die im Rahmen von integrierten kommunalen Strategien zur Gesundheitsförderung die Bedarfe der Menschen in ihren Lebenswelten aufgreifen.
Kernaussagen
- Menschen mit Migrationshintergrund sind nicht per se kränker oder gesünder als die Bevölkerung ohne Migrationshintergrund. Expositionen vor, während und nach der Migration können aber unterschiedliche Gesundheitsressourcen und Krankheitsrisiken mit sich bringen.
- Über das Merkmal „Migrationshintergrund“ hinaus variiert eine Vielzahl an Krankheitsrisiken abhängig vom sozioökonomischen Status (SES), dem Alter, Geschlecht und der Aufenthaltsdauer im Zielland.
- Bei 11 bis 17-jährigen Kindern und Jugendlichen mit und ohne Migrationshintergrund bestehen kaum Unterschiede in der Selbsteinschätzung der körperlichen Gesundheit.
- Erwachsene mit Migrationshintergrund aus spezifischen Herkunftsländern weisen statistisch ein geringeres Risiko für bösartige Neubildungen wie Brust-, Haut- oder Lungenkrebs sowie für Herz-Kreislauf-Erkrankungen auf. Erhöhte Risiken bestehen für Arbeitsunfälle, psychsiche Erkrankungen sowie in einzelnen Sub-Gruppen für Infektionskrankheiten wie Tuberkulose, Hepatitis und HIV.
- Ausländische Säuglinge, Kinder und Jugendliche in Deutschland weisen eine höhere Mortalitätsrate auf als deutsche Gleichaltrige. Zugewanderte Menschen im Alter von 20 bis 60 Jahren haben eine geringere, im Alter von 65 bis 69 Jahren eine höhere Mortalitätsrate als die nicht-migrierte Bevölkerung.
- Die Sterblichkeit ausländischer Personen gleicht sich mit zunehmender Aufenthaltsdauer in Deutschland an das Mortalitätsmuster der einheimischen Bevölkerung an.
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.