Project description:BACKGROUND:Maternal nutrition status (e.g. dietary/nutrient intake) during pregnancy has been associated with pregnancy outcomes including birth weight, infant survival and metabolic health of the offspring during later life. During the past few years, maternal dietary intake, at least three months before conception, has been shown to affect pregnancy outcomes also. However, literature investigating this link is still scarce. The studies that have looked at preconception dietary intake in relation to pregnancy outcome were either animal studies, had small sample sizes or focused on only selected macronutrient intake rather than complete (macro)nutrient composition or dietary intakes (e.g. food groups). Therefore, we aim to investigate the association between preconception diet and pregnancy outcomes in a linked birth cohort. The main objective of this manuscript is to describe the methodology of establishing this birth cohort and to describe both the characteristics of the study population included as well as the representativeness in terms of dietary intake. METHODS:We created the birth cohort by linking two existing databases; a large population-based cohort study in the Netherlands (The Lifelines Cohort study) and the Dutch national birth registry (Perined), through a 'trusted third party'. The birth cohort contains information on maternal dietary intake during preconception as well as pregnancy outcomes. RESULTS AND DISCUSSION:In the Lifelines Cohort study, 3,418 pregnancies were available for linking with Perined. In total, 2,368 pregnancies (86.9%) were linked with Perined, resulting in the birth cohort. With this linked cohort we are able to provide insights on the associations between dietary intake before conception and pregnancy outcomes. Such data could potentially improve nutritional care for women of childbearing age. Lifestyle changes in the period preceding pregnancy may be most effective in improving pregnancy outcomes. A focus on this window of opportunity may provide both sufficient time, as well as a period when women are potentially motivated to adopt health optimizing behaviours.

Project description:BackgroundPrevious research suggests that less emotionally stable, less conscientious, less extraverted, and less agreeable women tend to suffer from higher fear of childbirth and experience their delivery as worse. Moreover, there is evidence that birth characteristics and unexpected incidents during delivery may impact women's birth experiences. However, it remains unknown whether the role of personality in subjective birth experiences varies between women with different birth characteristics.MethodsWe used data from the Maternal Anxiety in Relation to Infant Development (MARI) Study, a regional-epidemiological study among pregnant women, who were prospectively followed up in multiple waves across the peripartum period. During pregnancy, personality was assessed with the short version of the Big Five Inventory. The Wijma Delivery Expectancy/ Experience Questionnaire was used to measure fear of childbirth (version A) during pregnancy and subjective birth experiences (version B) within the first 10 days after delivery.ResultsLinear regressions revealed that lower levels of emotional stability, agreeableness, and extraversion predicted higher fear of childbirth during pregnancy. Moreover, personality affected subjective birth experiences especially in women with specific birth characteristics: Lower emotional stability predicted worse subjective birth experiences in women with (vs. without) a preterm delivery, and higher conscientiousness predicted worse subjective birth experiences in women with an emergency cesarean section (vs. spontaneous delivery). Subjective birth experiences were also worse in less emotionally stable and less open women with (general) anesthesia (vs. no anesthesia) during delivery. Finally, higher emotional stability predicted a subjective birth experience that was worse than expected, particularly in multiparous women and women without anesthesia during delivery.ConclusionsThese findings suggest that less emotionally stable, less conscientious, and less open women tend to experience their delivery as worse particularly in case of unexpected incidents (i.e., preterm delivery, emergency cesarean section, and necessity of anesthetics) and might thus profit from early targeted interventions.

Project description:BackgroundFear of childbirth (FOC) may contribute to postpartum depression, impaired maternal-infant relation, and preference for cesarean in future pregnancies. We aimed to investigate predictors of FOC and normal vaginal birth among postpartum women who had planned for a normal vaginal birth.MethodsThis cross-sectional study was conducted in 2019 with postpartum women during the first 24 h after the birth. A sample of 662 women, selected using a convenient sampling method, filled out the questionnaire composed of socio-demographic and obstetric questions and the Wijma Delivery-Expectancy Questionnaire (W-DEQ). We used multiple logistic regression analyses to determine predictors of FOC and normal vaginal birth.ResultsThe percentage of women with mild (score ≤ 37), moderate (38-65), high (66-84), severe (85-99), and intense FOC (score ≥ 100) were 7.9, 19.5, 40.9, 21.1, and 10.6% respectively. Predictors of intense FOC were age < 30, primiparity, low maternal satisfaction with pregnancy, and a low level of perceived marital satisfaction. Overall, 21.8% of women gave birth by cesarean. Predictors of normal vaginal birth were birth weight < 4 kg, spontaneous onset of labor pain, mother's age < 30, term pregnancy, having a doula, multiparity, satisfaction with husband's support, and overall satisfaction with pregnancy. A high level of perceived marital/sexual satisfaction was a risk factor for cesarean. Mode of birth was not a predictor of postpartum FOC.ConclusionsThe rate of severe and intense FOC among this group of postpartum women is high. Our findings highlight modifiable factors for reducing FOC and increasing normal vaginal birth. In designing programs to increase the rate of normal vaginal birth, the following factors should be considered: limiting induced labor, encouraging women to recruit a doula to help them at labor, facilitate husband's attendance throughout antenatal/intrapartum, and postnatal care to support his wife, and pay attention to women's common misunderstandings about the effect of vaginal birth on marital/sexual relationship. Our findings indicate that seeking novel ways to promote marital/sexual satisfaction and helping women to have a smooth, hassle-free pregnancy may contribute to a reduction in the rate of the FOC.

Project description:All subjects were recruited at Centennial Women?s Hospital and the Perinatal Research Center in Nashville, TN beginning in 2003. Pregnant women were enrolled during their first clinical visit after obtaining informed consent as described previously. Demographic and clinical data specific to the fetus was collected from clinical records. Gestational age of the neonate was determined by maternal reporting of the last menstrual period and corroboration by ultrasound dating. Accurate knowledge of gestational age (GA) is essential for proper monitoring and care of neonates. However, accurate GA measures are often not available. DNA methylation has previously been shown to associate with GA, and has been used to accurately predict chronological age in adults. In the current study, we examine whether DNA methylation in cord blood can be used to predict gestational age at birth. Results: We found that GA can be accurately predicted from DNA methylation of neonatal cord blood and blood spot samples (DNAm GA), using 148 CpG sites selected through elastic net regression in six training datasets (N=207). We evaluated predictive accuracy in six testing datasets (N=1,202), and found that the accuracy of DNAm GA meets or exceeds accuracy of gestational age estimates based on established methods. We also found an increased DNAm GA, relative to clinical GA, was associated with increased birthweight percentile (p=.00057), adjusting for GA, sex, and ancestry, suggesting that DNAm GA could represent developmental age more accurately than clinical estimates of GA. Conclusions: Further development of this predictor could provide a method of accurate neonatal estimation of GA for use in resource-limited populations, or in cases where GA cannot be estimated clinically. When clinical estimates are available, the predictor can be used to test hypotheses related to developmental age and other early life circumstances, and may provide increased accuracy beyond clinical estimates.

Project description:All subjects were recruited at Centennial Women?s Hospital and the Perinatal Research Center in Nashville, TN beginning in 2003. Pregnant women were enrolled during their first clinical visit after obtaining informed consent as described previously. Demographic and clinical data specific to the fetus was collected from clinical records. Gestational age of the neonate was determined by maternal reporting of the last menstrual period and corroboration by ultrasound dating. Accurate knowledge of gestational age (GA) is essential for proper monitoring and care of neonates. However, accurate GA measures are often not available. DNA methylation has previously been shown to associate with GA, and has been used to accurately predict chronological age in adults. In the current study, we examine whether DNA methylation in cord blood can be used to predict gestational age at birth. Results: We found that GA can be accurately predicted from DNA methylation of neonatal cord blood and blood spot samples (DNAm GA), using 148 CpG sites selected through elastic net regression in six training datasets (N=207). We evaluated predictive accuracy in six testing datasets (N=1,202), and found that the accuracy of DNAm GA meets or exceeds accuracy of gestational age estimates based on established methods. We also found an increased DNAm GA, relative to clinical GA, was associated with increased birthweight percentile (p=.00057), adjusting for GA, sex, and ancestry, suggesting that DNAm GA could represent developmental age more accurately than clinical estimates of GA. Conclusions: Further development of this predictor could provide a method of accurate neonatal estimation of GA for use in resource-limited populations, or in cases where GA cannot be estimated clinically. When clinical estimates are available, the predictor can be used to test hypotheses related to developmental age and other early life circumstances, and may provide increased accuracy beyond clinical estimates. 36 Umbilical cord blood samples were collected in EDTA tubes soon after placental delivery. Blood samples were centrifuged at 3,000 RPM to separate plasma, and buffy coats were aliquoted and stored at -80oC. DNA was extracted using the DNeasy Kit (Qiagen). DNA methylation was interrogated for each sample using the HumanMethylation450 BeadChip (Illumina).

Dataset Information

Is fear of childbirth related to the woman's preferred location for giving birth? A Dutch low-risk cohort study.

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Is fear of childbirth related to the woman's preferred location for giving birth? A Dutch low-risk cohort study.

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