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Addressing health-related interventions to immigrants: migrant-specific or diversity-sensitive?
(2014)
Die Rekrutierung von Studienteilnehmern aller relevanten Bevölkerungsgruppen stellt eine der Herausforderungen in der (sozial-)epidemiologischen Forschung dar. Es existiert eine Vielzahl von Strategien, die der Rekrutierung von ethnischen Minderheiten und bestimmter Migrantengruppen dienen können. Unklar ist bisher, ob diese Strategien auch bei der Etablierung einer Geburtskohorte geeignet sind. Ziel der vorliegenden Arbeit ist die Darstellung und Evaluation von Rekrutierungsstrategien für Migrantinnen in einer Geburtskohorte am Beispiel der BaBi-Studie. Die Rekrutierung erfolgte von Oktober 2013 bis Oktober 2016. Als Vorbereitung wurden Fokusgruppen mit Schwangeren und Müttern und leitfadengestützte Experteninterviews mit Hebammen und GynäkologInnen durchgeführt, um Studienmaterialien, Befragungsinstrumente und Sprachpräferenzen zu prüfen. In der Vorstudie wurden unterschiedliche Rekrutierungswege getestet. Im Rekrutierungsverlauf fand eine kontinuierliche Evaluation statt, um erfolgreiche Rekrutierungsstrategien für Teilnehmerinnen mit Migrationshintergrund zu ermitteln und anzupassen. Von den eingeschlossenen 980 Teilnehmerinnen hatten 390 einen Migrationshintergrund (40%). Es wurden aktive und passive Rekrutierungsstrategien verfolgt, in denen u. a. türkische Übersetzungen und multikulturelles Personal zum Einsatz kamen. Für die passive Rekrutierung über gynäkologische Praxen und Hebammen mussten die schwangeren Frauen und Wöchnerinnen eine hohe Motivation für die Rekrutierung mitbringen. Die aktive Rekrutierung in den Geburtskliniken (Ansprache durch Study-Nurses) erhöhte den Anteil an Teilnehmerinnen mit Migrationshintergrund von 22 auf 49% aller Teilnehmerinnen. Durch frühzeitige Überprüfungen und Anpassungen der Zugangswege konnte die Teilnahmebereitschaft erhöht werden.
Für die Rekrutierung von Frauen mit Migrationshintergrund sind gründliche Vorbereitungen in Form von Befragungen (Fokusgruppen, Leitfadeninterviews) und einer Vorstudie sinnvoll. Von Beginn an sind Verfahren zur frühzeitigen Evaluation der unterschiedlichen Rekrutierungsstrategien und ein erhöhter Personalaufwand (z. B. für (Rück-/ Übersetzungen) einzuplanen). Der Einschluss von Menschen mit Migrationshintergrund in sozialepidemiologischen Studien sollte in Deutschland zur Normalität werden.
Hintergrund:
Im ersten Lebensjahr erfolgt ein schrittweiser Übergang von Muttermilch bzw. Säuglingsmilchnahrung zur Familienkost, wobei die erste Gabe von Beikost zwischen 5. und 7. Lebensmonat erfolgen soll. Es ist wenig bekannt über soziodemographische bzw. klinische Einflussfaktoren auf die Beikosteinführung.
Methodik:
Datengrundlage der vorliegenden Untersuchung waren Baseline und erstes Follow-Up der Bielefelder Geburtskohorte BaBi (2013 – 2016, n = 777). Angaben zur Stilldauer, Einführung von Beikost sowie der Getränkegabe vor und während der Einführung von Beikost wurden telefonisch erhoben, als die Säuglinge zwischen neun und 12 Monaten alt waren. Einflussfaktoren auf die Beikosteinführung wurden mittels bi-und multivariater Datenanalyse untersucht.
Ergebnisse:
Bei Einführung der Beikost waren die Säuglinge im Mittel 5,4 ± 1,2 Monate alt. 2,6% der Säuglinge waren jünger als vier Monate, 12,5% der Säuglinge waren älter als 6,5 Monate. Lineare Regressionsanalysen zeigten eine direkte Assoziation zwischen der ausschließlichen Stilldauer bzw. dem Säuglingsalter bei letzter Mutter-/Säuglingsmilchgabe und dem Beikostbeginn (b = 0,31 [95%KI = 0,26 – 0,36; p ≤ 0,001; b = 0,12 [95% KI 0,07 – 0,18], p ≤ 0,001). Mütterliche Determinanten wie Alter, Bildungsstatus, Migrationsstatus, Familienstand, Parität, pränataler BMI und Rauchstatus vor und während der Schwangerschaft hatten keinen Einfluss auf den Beginn der Beikostgabe. 73,6% der befragten Frauen gaben an, schon einmal Probleme mit dem Füttern seit Beginn der Beikosteinführung gehabt zu haben.
Diskussion:
In der vorliegenden Analyse erfolgte der Beikostbeginn unabhängig von soziodemographischen und klinischen Parametern, jedoch führte längeres ausschließliches Stillen bzw. längere Mutter-/Säuglingsmilchgabe zu einem späteren Beikostbeginn. Weitere Untersuchungen sind notwendig, um Art, Umfang und mögliche Auswirkungen berichteter Probleme bei der Beikosteinführung bzw. eines verzögerten Beikostbeginns auf Mutter und Kind zu quantifizieren.
Children with a migration background are more at risk of health-related problems than those without a migration background. The German health system still does not adequately meet the challenges of on increasingly heterogeneous population, not least due to a lack of adequate epidemiological data and models. The BaBi study contributes to gaining new insights in the development of health inequalities due to cultural diversity in Germany, with a focus on pregnancy and early childhood.
Background: Neighbourhood possesses attributes, structural, physical and social, for which pathways to health inequalities could be hypothesized. Hence, neighbourhood is a complex mixture of factors which cannot be simply defined by a delineation on a map, making common definitions of neighbourhood (e.g. administrative borders) problematic. We present a new concept for the evaluation of contextual health inequalities in an urban setting.
Methods: An ego-centred approach to neighbourhood effects on health allows to establish to what degree the health outcomes of a person are on average correlated to the health outcomes of his/her neighbours. This approach does not necessitate the definition of what a neighbourhood is, or of its boundaries. Using data from the BaBi birth cohort following up 958 mother-child pairs in Bielefeld/Germany we illustrate how the method provides information about the spatial structure of a possible association between unmeasured neighbourhood factors and birthweight. Spatially correlated birthweight indicates a neighbourhood effect on maternal health.
Results: A parametric model of the correlation structure gives two indicators: a distance after which health outcomes are no longer correlated (practical range), and the strength of correlation (RSV). We modelled birthweight directly and residuals after controlling for (spatially correlated) covariates. After adjusting for the mother’s demographics and neighbourhood characteristics, birthweights remained spatially correlated with RSV of 11% and a practical range of 128 m.
Conclusions: Modelling the spatial correlation of a health outcome provides a measure of the degree of health correlation, thus offering new evidence on the production of health inequalities while incorporating current modelling approaches. Moreover, it measures heterogeneity in a city. This could be used as an indicator for policy makers or town planners to identify areas in need of socioeconomic investment.
Introduction: The neighbourhood in which one lives affects health through complex pathways not yet fully understood. A way to move forward in assessing these pathways direction is to explore the spatial structure of health phenomena to generate hypotheses and examine whether the neighbourhood characteristics are able to explain this spatial structure. We compare the spatial structure of two cardiovascular disease risk factors in three European urban areas, thus assessing if a non-measured neighbourhood effect or spatial processes is present by either modelling the correlation structure at individual level or by estimating the intra-class correlation within administrative units. Methods: Data from three independent studies (RECORD, DHS and BaBi), covering each a European urban area, are used. The characteristics of the spatial correlation structure of cardiovascular risk factors (BMI and systolic blood pressure) adjusted for age, sex, educational attainment and income are estimated by fitting an exponential model to the semi-variogram based on the geo-coordinates of places of residence. For comparison purposes, a random effect model is also fitted to estimate the intra-class correlation within administrative units. We then discuss the benefits of modelling the correlation structure to evaluate the presence of unmeasured spatial effects on health. Results: BMI and blood pressure are consistently found to be spatially structured across the studies, the spatial correlation structures being stronger for BMI. Eight to 22% of the variability in BMI were spatially structured with radii ranging from 100 to 240 m (range). Only a small part of the correlation of residuals was explained by adjusting for the correlation within administrative units (from 0 to 4 percentage points). Discussion: The individual spatial correlation approach provides much stronger evidence of spatial effects than the multilevel approach even for small administrative units. Spatial correlation structure offers new possibilities to assess the relevant spatial scale for health. Stronger correlation structure seen for BMI may be due to neighbourhood socioeconomic conditions and processes like social norms at work in the immediate neighbourhood.
Background
Health disparities in children of immigrants are prevalent from birth and are hypothesized to – in part – emerge as a biological consequence of migration’s unfavorable social and psychological sequelae. The aim of this study was to examine whether maternal migrant background is associated with inflammation during pregnancy - a key pathway by which maternal states and conditions during pregnancy may influence fetal development and subsequent pregnancy, birth, and child developmental and health outcomes.
Material and Methods
Data was available from 126 pregnant women who participated in a population based multi-site prospective birth cohort study in Bielefeld and Berlin, Germany. The study included two study visits in mid- and late pregnancy. At each visit, a composite maternal pro-inflammatory score was derived from circulating levels of plasma inflammatory markers (IL-6, CRP). Migrant background was defined by country of origin of participants and their parents’ (Turkey or other) and generation status (1st or 2nd generation). We applied hierarchical linear models (HLM) in order to quantify the relationship between different migrant background variables and inflammation during pregnancy after adjustment for potential confounders (including socioeconomic status).
Results
Migrant background was significantly associated with inflammation during pregnancy. When compared to women without migrant background, levels of inflammation were increased in 1) pregnant women with migrant background in general (B = 0.35, SE = 0.12, p < .01); 2) 1st (B = 0.28, SE = 0.15, p < .10) and 2nd generation (B = 0.40, SE = 0.15, p < .01); 3) women with a Turkish migrant background (B = 0.28, SE = 0.14, p < .10) and women with another migrant background (B = 0.42, SE = 0.15, p <.01); and 4) 2nd generation Turkish origin women (B = 0.38, SE = 0.20, p <.10), 1st generation women with other migrant background (B = 0.44, SE = 0.26, p <.10), and 2nd generation women with other migrant background (B=0.43, SE = 0.17, p <.05).
Discussion
Our findings support a role for maternal inflammation as a pathway of intergenerational transmission of migration-related health inequalities, suggest that the effect seems to persist in 2nd generation immigrants, and highlight the need for future research and targeted interventions in this context.
Objective: Official German recommendations advise women to start taking folic acid supplementation (FAS) before conception and continue during the first pregnancy trimester to lower the risk of birth defects. Women from lower socioeconomic background and ethnic minorities tend to be less likely to take FAS in other European countries. As little is known about the determinants of FAS in Germany, we aimed to investigate the association between FAS and formal education and migration background, adjusting for demographic factors.
Design: We used data (2013-2016) on nutrition and socioeconomic and migration background from the baseline questionnaire of the BaBi cohort study. We performed multivariate regressions and mediation analyses.
Setting: Bielefeld, Germany.
Participants: 947 women (pregnant or who had given birth in the past two months).
Results: 16.7% of the participants (158/947) didn't use FAS. Migration-related variables (e.g. language, length of stay) were not associated with FAS in the adjusted models. FAS was lower in women with lower level of formal education and in unplanned pregnancies. Reasons given by women for not taking FAS were unplanned pregnancy and lack of knowledge of FAS.
Conclusions: Health practitioners may be inclined to see migrant women as an inherently at-risk group for failed intake of FAS. However, it is primarily women who did not plan their pregnancy, and women of lower formal education level, who are at risk. Different public health strategies to counter low supplementation rates should be supported, those addressing the social determinants of health (i.e. education) and those more focussed on family planning.