TY - GEN A1 - Berens, Eva-Maria A1 - Stahl, Lisa A1 - Yilmaz-Aslan, Yüce A1 - Sauzet, Odile A1 - Spallek, Jacob A1 - Razum, Oliver T1 - Participation in breast cancer screening among women of Turkish origin in Germany - a register-based study T2 - BMC Women's Health Y1 - 2014 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:0070-pub-26613854 SN - 1472-6874 VL - 14 ER - TY - GEN A1 - Reiss, Katharina A1 - Sauzet, Odile A1 - Breckenkamp, Jürgen A1 - Spallek, Jacob A1 - Razum, Oliver T1 - How do immigrants adapt their smoking behaviour? A comparative analysis among Turkish immigrants in Germany and the Netherlands T2 - BMC Public Health Y1 - 2014 U6 - https://doi.org/10.1186/1471-2458-14-844 SN - 1471-2458 VL - 14 ER - TY - GEN A1 - Sauzet, Odile A1 - Zolitschka, Kim Alexandra A1 - Spallek, Jacob A1 - Breckenkamp, Jürgen A1 - Razum, Oliver T1 - An ego-centred approach for the evaluation of health inequalities in urban areas T2 - European Journal of Public Health N2 - 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. KW - health inequalities KW - urban KW - birth weight KW - child KW - demography KW - ego KW - Germany KW - socioeconomic factors KW - health disparity KW - towns KW - maternal health Y1 - 2019 U6 - https://doi.org/10.1093/eurpub/ckz186.243 SN - 1101-1262 SN - 1464-360X VL - 29 IS - 4 ER - TY - GEN A1 - Breckenkamp, Jürgen A1 - Razum, Oliver A1 - Spallek, Jacob A1 - Berger, Klaus A1 - Chaix, Basile A1 - Sauzet, Odile T1 - A method to define the relevant ego-centred spatial scale for the assessment of neighbourhood effects: the example of cardiovascular risk factors T2 - BMC Public Health N2 - 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. KW - Cardiovascular risk factors KW - Geographic distribution KW - Spatial scale Y1 - 2021 U6 - https://doi.org/10.1186/s12889-021-11356-w SN - 1471-2458 VL - 21 ER - TY - GEN A1 - Wandschneider, Lisa A1 - Sauzet, Odile A1 - Breckenkamp, Jürgen A1 - Spallek, Jacob A1 - Razum, Oliver T1 - Kleinräumige Merkmale und ihr Einfluss auf ein niedriges Geburtsgewicht – eine theoriegeleitete Analyse T2 - 14. Jahrestagung der DGEpi, 11-13. September, Ulm N2 - Hintergrund: Der Wohnort kann eine Dimension sozialer Ungleichheiten darstellen, und es gibt Hinweise dafür, dass sich dieser bereits auf die perinatale Entwicklung auswirken könnte. Die zugrunde liegenden Wirkmechanismen sind nach wie vor unbekannt; theorie-basierte und hypothesengeleitete Analysen fehlen. Um diesen Herausforderungen zu begegnen, untersucht diese Studie, inwieweit kleinräumige Merkmale zu einem niedrigen Geburtsgewicht beitragen, unabhängig von individuellen Merkmalen. Auf der Grundlage eines konzeptionellen Modells1 wurden kleinräumige Merkmale ausgewählt, erhoben und deren Auswirkungen auf niedriges Geburtsgewicht analysiert. Methoden: Die Individualdaten stammen aus der Geburtskohortenstudie „Gesundheit von Babys und Kindern in Bielefeld“. Die Stichprobe besteht aus 958 Frauen und ihren Säuglingen, verteilt auf 80 statistische Bezirke in Bielefeld. Kleinräumige Daten wurden anhand von lokalen Lärmkarten, dem Emissionskataster, Google Street View und dem Melderegister erhoben. Zur Quantifizierung des Einflusses kleinräumiger Merkmale wurde eine lineare Mehrebenenanalyse mit einer Zwei-Ebenen-Struktur (Individuen, die in statistische Bezirke eingebettet sind) durchgeführt. Ergebnisse: Insgesamt sind die Auswirkungen der ausgewählten kleinräumigen Merkmale gering bis nicht existent, es zeigen sich keine signifikanten Effekten für niedriges Geburtsgewicht. Tendenziell weisen Neugeborene aus ästhetisch weniger ansprechenden und subjektiv unsicher wahrgenommenen Stadtteilen einen höheren Anteil an niedrigem Geburtsgewicht auf. Schlussfolgerungen: Die Analyse liefert keine eindeutigen Hinweise auf negative Auswirkungen kleinräumiger Faktoren auf ein niedriges Geburtsgewicht. Auf methodischer Seite bestätigt die Studie, dass ein angemessener Stichprobenumfang, eine zuverlässige Expositionsabschätzung und die Operationalisierung des kleinräumigen Kontextes mit Blick auf die verfügbaren Daten die zentralen Herausforderungen des Forschungsfeldes darstellen. KW - Geburtsgewicht Y1 - 2019 UR - https://www.eventclass.org/contxt_dgepi2019/online-program/session?s=AG13%7C1 SP - 113 EP - 113 ER - TY - GEN A1 - Ludwig, Angelique A1 - Miani, Céline A1 - Breckenkamp, Jürgen A1 - Sauzet, Odile A1 - Borde, Theda A1 - Doyle, Ina-Merle A1 - Brenne, Silke A1 - Höller-Holtrichter, Chantal A1 - David, Matthias A1 - Spallek, Jacob A1 - Razum, Oliver T1 - Are Social Status and Migration Background Associated with Utilization of Non-medical Antenatal Care? Analyses from Two German Studies T2 - Maternal and Child Health Journal N2 - Objective: Non-medical antenatal care (ANC) refers to a range of non-medical services available to women during pregnancy aiming at supporting women and prepare them for the birth and the postpartum period. In Germany, they include antenatal classes, breastfeeding classes and pregnancy-specific yoga or gymnastics courses. Studies suggest that various types of non-medical ANC carry benefits for both the women and their babies. Little is known about the uptake of non-medical ANC among different socioeconomic population subgroups, but one may expect lower utilization among socio-economically disadvantaged women. We analyzed factors contributing to the utilization of non-medical ANC in general and antenatal classes in particular. Methods: Baseline data of the Bielefeld BaBi birth cohort (2013–2016) and the Berlin perinatal study (2011–2012) were analyzed. Comparing the two cohorts allowed to increase the socio-economic and migration background variance of the study population and to capture the effect of the local context on uptake of services. Multivariate logistic regression analyses were performed to study associations between the uptake of non-medical ANC and socio-economic and migration status.ResultsIn Berlin and Bielefeld, being a first generation migrant and having lower levels of education were associated with lower non-medical ANC uptake. In Berlin, being a 2nd generation woman or having a low income was also associated with lower uptake. Conclusions for Practice: Our study suggests that non-medical ANC remains in some part the prerogative of non-migrant, well-educated and economically privileged women. Since differences in non-medical ANC have the potential to create inequalities in terms of birth outcomes and maternal health during pregnancy and post-partum, more efforts are needed to promote the use of non-medical ANC by all population groups. KW - Non-medical antenatal care KW - Migration background KW - Education KW - Socioeconomic status KW - Pregnancy Y1 - 2020 U6 - https://doi.org/10.1007/s10995-020-02937-z SN - 1573-6628 SN - 1092-7875 VL - 24 IS - 7 SP - 943 EP - 952 ER - TY - GEN A1 - Wandschneider, Lisa A1 - Sauzet, Odile A1 - Breckenkamp, Jürgen A1 - Spallek, Jacob A1 - Razum, Oliver T1 - Small-Area Factors and Their Impact on Low Birth Weight—Results of a Birth Cohort Study in Bielefeld, Germany T2 - Frontiers in Public Health N2 - Introduction: The location of residence is a factor possibly contributing to social inequalities and emerging evidence indicates that it already affects perinatal development. The underlying pathways remain unknown; theory-based and hypothesis-driven analyses are lacking. To address these challenges, we aim to establish to what extent small-area characteristics contribute to low birth weight (LBW), independently of individual characteristics. First, we select small-area characteristics based on a conceptual model and measure them. Then, we empirically analyse the impact of these characteristics on LBW. Material and methods: Individual data were provided by the birth cohort study “Health of infants and children in Bielefeld/Germany.” The sample consists of 892 eligible women and their infants distributed over 80 statistical districts in Bielefeld. Small-area data were obtained from local noise maps, emission inventory, Google Street View and civil registries. A linear multilevel analysis with a two-level structure (individuals nested within statistical districts) was conducted. Results: The effects of the selected small-area characteristics on LBW are small to non-existent, no significant effects are detected. The differences in proportion of LBW based on marginal effects are small, ranging from zero to 1.1%. Newborns from less aesthetic and subjectively perceived unsafe neighbourhoods tend to have higher proportions of LBW. Discussion: We could not find evidence for negative effects of small-area factors on LBW, but our study confirms that obtaining adequate sample size, reliable measure of exposure and using available data for operationalisation of the small-area context represent the core challenges in this field of research. KW - low birth weight KW - small-area analysis KW - multilevel analysis KW - virtual audit KW - noise pollution KW - fine particulate matter KW - socioeconomic deprivation KW - cohort study Y1 - 2020 U6 - https://doi.org/10.3389/fpubh.2020.00136 SN - 2296-2565 VL - 8 ER - TY - GEN A1 - Miani, Celine A1 - Ludwig, A. A1 - Breckenkamp, Jürgen A1 - Sauzet, Odile A1 - Doyle, Ina-Merle A1 - Höller-Holtrichter, Chantal A1 - Spallek, Jacob A1 - Razum, Oliver T1 - Socioeconomic and migration status as predictors of emergency caesarean section: a birth cohort study T2 - BMC pregnancy and childbirth N2 - BACKGROUND: Women with a migration background are reportedly at a higher risk of emergency caesarean section. There is evidence that this is due in part to suboptimal antenatal care use and quality of care. Despite the fact that migrant women and descendants of migrants are often at risk of socioeconomic disadvantage, there is, in comparison, scarce and incomplete evidence on the role of socioeconomic position as an independent risk factor for emergency caesarean delivery. We therefore investigate whether and how migration background and two markers of socioeconomic position affect the risk of an emergency caesarean section and whether they interact with each other. METHODS: In 2013-2016, we recruited women during the perinatal period in Bielefeld, Germany, collecting data on health and socioeconomic and migration background, as well as routine perinatal data. We studied associations between migration background (1st generation migrant, 2nd/3rd generation woman, no migration background), socioeconomic status (educational attainment and net monthly household income), and the outcome emergency caesarean section. RESULTS: Of the 881 participants, 21% (n = 185) had an emergency caesarean section. Analyses showed no association between having an emergency caesarean section and migration status or education. Women in the lowest (< 800€/month) and second lowest (between 800 and 1750€/month) income categories were more likely (aOR: 1.96, CI: 1.01-3.81; and aOR: 2.36, CI: 1.27-4.40, respectively) to undergo an emergency caesarean section than women in the higher income groups. CONCLUSIONS: Migration status and education did not explain heterogeneity in mode of birth. Having a low household income, however, increased the chances of emergency caesarean section and thereby contributed towards producing health disadvantages. Awareness of these findings and measures to correct these inequalities could help to improve the quality of obstetric care. KW - Acculturation KW - Birth cohort KW - Caesarean section KW - Education KW - Emergency KW - Germany KW - Income KW - Migration KW - Obstetric care KW - Socioeconomic determinants Y1 - 2020 U6 - https://doi.org/10.1186/s12884-020-2725-5 SN - 1471-2393 VL - 20 ER -