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Institute
Elevated stress during pregnancy in women of Turkish origin: Results from a prospective cohort study
(2022)
Background
Ethnic health disparities exist in the context of pregnancy and childbirth, suggesting that women of Turkish origin (i.e., they or their parents born in Turkey) in Germany have higher risks for some adverse maternal health and child developmental outcomes. Stress is believed to be a relevant pathway by which migration may be associated with these risks. In this study, we tested associations of Turkish origin with stress biology and psychological stress experiences during pregnancy.
Methods
140 pregnant women (33 of Turkish/26 of other origin) participated in a prospective cohort study that was carried out in Bielefeld and Berlin (Spallek et al., 2020). Inflammatory markers CRP and IL-6 from venous blood samples and diurnal cortisol profiles from salivary cortisol samples were derived and participants completed the Perceived Stress Scale (PSS) and Center for Epidemiologic Studies Depression Scale (CESD) at two study visits during pregnancy (T1: 20-25 weeks of gestation, T2: 30-35 weeks of gestation). Multilevel models were conducted to account for the nested data structure due to repeated measurements.
Results
Compared to non-migrant women, women of Turkish origin had significantly higher inflammatory levels (b = 0.28, SE = 0.14, p=.052) (Spallek et al., 2021), a blunted cortisol awakening response (b=-0.21, CI=-0.38–0.03, p<.05), a flatter diurnal cortisol slope (b = 0.02, CI = 0.00-0.04, p<.05), and higher PSS (b = 0.46, SE = 0.13, p< .001) and CESD scores (b = 0.29, SE = 0.08, p<.001) during pregnancy after adjusting for socioeconomic factors.
Conclusions
The results of our study suggest higher stress at the biological and psychological level in pregnant women of Turkish origin. Stress is a risk factor for pregnancy complications and poor birth and child developmental outcomes. To reduce such unequally distributed risks, interventions for stress reduction are needed that are tailored to women of Turkish origin.
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.
Migration und Geschlecht
(2015)
Migration und Gesundheit
(2015)
Wie gesund sind Migranten? Erkenntnisse und Zusammenhänge am Beispiel der Zuwanderer in Deutschland
(2009)
Background: Measuring the phenomenon of violation of birth integrity (vBI) (e.g., obstetric violence) relies in part on the availability and content of maternity care providers' data. The population coverage and linkage possibilities that these data provide make for a yet untapped potential. Although vBI is a complex phenomenon best measured with dedicated instruments, we argue that maternity care providers' data could contribute to enhance our knowledge of the manifestations and frequency of vBI, and allow for analyses across different sub-groups of the population. Looking into the German standardized perinatal data, we investigate which variables are relevant to vBI-related research, and how complete their reporting is.
Methods: First, we analyse state-of-the-art frameworks and recommendations, and, for each vBI-related domain, we search for and list corresponding variables in the perinatal data which could contribute to a better understanding of vBI issues. Second, we use an example and analyse the content of perinatal data obtained between 2013 and 2016 in the context of the BaBi birth cohort study set in Bielefeld, Germany. We use descriptive statistics to assess the completeness of the data.
Results: The vBI-related variables can be classified in three main categories: discrimination based on specific patient socio-demographic attributes (e.g., height and weight to calculate BMI before pregnancy, foreign origin), indication for medical interventions (i.e., medicalization-related variables: indication for cesarean sections and induction), and supportive care, in particular the mobilization dimension (e.g., continuous fetal heartbeat monitoring). The data analyses included 876 births, of which 601 were vaginal birth. We found poor reporting on demographic variables in terms of completeness. Medicalization and mobilization variables are better documented, although limited in scope.
Conclusions: Putting more emphasis on the completeness of standardized data could increase their potential for vBI-related research. Perinatal data alone are insufficient to assess vBI, but a broader, theory-informed discussion of indicators to be included in standardized datasets would contribute to capturing the different aspects of integrity violation in a more systematic way and expand the evidence-base on different types of vBI.