Association between maternal pre-pregnancy body mass index and offspring's outcomes at 9 to 15 years of age.

OBJECTIVE: Maternal pre-pregnancy underweight, overweight and obesity might increase the risk for worse short- and long-term outcome in the offspring. There is a need for further study into the relationship between maternal pre-pregnancy body mass index (BMI) and the combined outcome of physical development, state of health and social behavior in children. QUESTION: Is maternal pre-pregnancy BMI associated with the child outcome in terms of physical development, state of health and social behavior (school and leisure time behavior) at the age of 9 to 15 years? METHODS: In the population-based birth cohort study Survey of Neonates in Pomerania (SNIP) children at the age 9-15 years and their families were re-examined by questionnaire-based follow-up. 5725 mother-child pairs were invited to SNiP-follow-up. This analysis is based on the recall fraction of 24.1% (n = 1379). Based on the maternal pre-pregnancy BMI (ppBMI), 4 groups were formed: underweight (ppBMI < 19 kg/m2, n = 117), normal weight (ppBMI 19-24.99 kg/m2, n = 913, reference), overweight (ppBMI 25-30 kg). /m2, n = 237) and obesity (ppBMI > 30 kg/m2, n = 109). RESULTS: In the multiple regression model, the BMI-z-score for children of mothers in the underweight group was -0.50 lower, and 0.50/1.07 higher in the overweight/obese group (p < 0.001) compared to reference at median age of 12 years. No differences were found in children of underweight mothers with regard to social behavior (interaction with friends and family), school and sports performance (coded from "very good" to "poor"), other leisure activities (watching television, using mobile phones, gaming), and health (occurrence of illnesses) compared to children of normal weight mothers. In contrast, maternal pre-pregnancy overweight and obesity were associated with lower school and sports performance, and higher screen time (smart phone, gaming, television) compared to children of normal weight mothers. CONCLUSION: Maternal pre-pregnancy overweight and obesity but not underweight was negatively associated with school performance and leisure time behavior in the offspring at 9-15 years of age.

Antenatal Care and Health Behavior of Pregnant Women-An Evaluation of the Survey of Neonates in Pomerania.

BACKGROUND: The German maternity guidelines require regular medical checkup (MC) during pregnancy as a measure of prevention. Socioeconomic factors such as education, profession, income and origin, but also age and parity may influence the preventive and health behavior of pregnant women. The aim was to investigate the influence of these factors on the participation rate in MC of pregnant women. METHOD: The current analysis is based on the prospective population-based birth cohort study Survey of Neonates in Pomerania, which was conducted in Western Pomerania, Germany. The data of 4092 pregnant women from 2004 to 2008 were analyzed regarding the antenatal care and health behavior. Up to 12 MC were regularly offered; participation in 10 MC is defined as standard screening according to maternity guidelines. RESULTS: Women participated in the first preventive MC on average in the 10th (±3.8 SD) week of pregnancy. 1343 (34.2%) women participated in standard screening and 2039 (51.9%) took a screening above standard. 547 (13.92%) women participated in less than the 10 standard MCs. In addition, about one-third of the pregnancies investigated in this study were unplanned. Bivariate analyses showed an association between better antenatal care behavior and higher maternal age, stabile partnerships and mother born in Germany, p < 0.05. On the contrary antenatal care below standard were more often found by women with unplanned pregnancies, less educational women and women with lower equivalent income, p < 0.001. Health behaviors also influenced antenatal care. Whereas the risk of antenatal care below standard increased by smoking during pregnancy (RRR 1.64; 95% CI 1.25, 2.14) and alcohol consumption (RRR 1.31; 95% CI 1.01, 1.69), supplementation intake was associated with decreased risk (iodine-RRR 0.66; 95% CI 0.53, 0.81; folic acid-RRR 0.56; 95% CI 0.44, 0.72). The health behavior of pregnant women also differs according to their social status. Higher maternal income was negatively correlated with smoking during pregnancy (OR 0.2; 95% CI 0.15, 0.24), but positively associated with alcohol consumption during pregnancy (OR 1.3; 95% CI 1.15, 1.48) and lower pre-pregnancy BMI (Coef. = 0.083, p < 0.001). Lower maternal education was positively correlated with smoking during pregnancy (OR 59.0; 95% CI 28.68, 121.23). CONCLUSIONS: Prenatal care according to maternity guidelines is well established with a high participation rate in MC during pregnancy of more than 85%. However, targeted preventive measures may address younger age, socioeconomic status and health-damaging behaviors (smoking, drinking) of the pregnant women because these factors were associated with antenatal care below standard.

Maternal pre-pregnancy underweight as a risk factor for the offspring: Survey of Neonates in Pomerania.

AIM: The aim was to investigate socio-economic risk factors for maternal underweight before pregnancy and then associations of underweight with neonatal outcomes. METHODS: Data of 3401 mother-child dyads from the population-based birth cohort Survey of Neonates in Pomerania (SNiP) were analysed. RESULTS: Bivariate analysis showed that underweighted mothers were younger, smoked more often, had a lower equivalent income and lower socio-economic status (employment status and/or educational level) compared to women with normal weight. The final prediction model revealed that only younger maternal age (OR = 0.93; 95%-CI = 0.90-0.97) and maternal smoking during pregnancy (OR = 2.52; 95%-CI = 1.74-3.66) were associated with underweight. Compared to women with normal pre-pregnancy BMI, underweight women had an increased chance of premature labour (OR = 1.73; 95% CI: 1.29-2.31) and a reduced placental weight. The offspring of underweight women had an increased risk of late preterm birth (OR = 1.82; 95% CI: 1.21-2.74) and birthweight < 2500 g (OR = 1.91; 95% CI: 1.23-2.95). CONCLUSION: Smoking during pregnancy and a younger age were identified as risk factors for maternal pre-pregnancy underweight which then was associated with late preterm birth and low birthweight.

Survey of Neonates in Pomerania (SNiP): Study design and cohort update.

BACKGROUND: The health status of newborns is a major concern for parents and medical personnel. Recent studies have provided increasing evidence that factors from the foetal and perinatal periods of life influence health later in life. The "Follow-up of the Survey of Neonates in Pomerania" (SNiP-I-Follow-up) is the first follow-up of the population-based birth cohort study, SNiP-I, established in north-east Germany. OBJECTIVES: The primary aim of SNiP-I-Follow-up study was the collection of longitudinal data on children and adolescents. The associations will be analysed between risk factors in pregnancy and the perinatal period and health status in infancy and later childhood. POPULATION: The population-based cohort study SNiP-I was conducted in Pomerania in north-east Germany between February 2002 and November 2008. All mothers from the SNiP-I birth cohort were recontacted when their children were from 9 to 15 years of age. DESIGN: The SNiP-I-Follow-up study was carried out between December 2016 and August 2017 and is a questionnaire-based survey. METHODS: Physical development, health status, and social behaviour (school and leisure behaviour) of children were analysed using a questionnaire comprising medical, epidemiological, and socio-economic data, associated health care risk factors, and life circumstances of newborns, children, and their parents. PRELIMINARY RESULTS: Out of 5725 children invited to participate in the SNiP-I-Follow-up study between December 2016 and August 2017, 29% (n = 1665) children participated in the SNiP-I-Follow-up study, providing data on 1665 mothers-child dyads. Responders had higher socio-economic status, especially in relation to maternal education status. CONCLUSION: As a longitudinal birth cohort from rural Germany, the SNiP cohort will be a resource to address urgent research needs and contribute to overall population health.

Analyses of pathological cranial ultrasound findings in neonates that fall outside recent indication guidelines: results of a population-based birth cohort: survey of neonates in Pommerania (SNiP-study).

BACKGROUND: Recent guidelines recommend a cranial ultrasound (CU) in neonates born at < 30 weeks gestation, admitted to the neonatal intensive care unit (NICU), or with a CU indication. Here, we addressed the need to extend these recommendations. METHODS: We retrospectively reviewed 5107 CUs acquired in the population-based Survey of Neonates in Pomerania, conducted in 2002 to 2008. Neonates with conspicuous CUs that were ≥ 30 weeks gestation without recent indications for CU were identified and assigned to the following groups: with (I) or without (II) admission to neonatal care. We designated CU conspicuities as mild (MC) or significant (SC), and we investigated related neurodevelopment during follow-up. RESULTS: Of 5107 neonates, 5064 were born at ≥30 weeks gestation and of those, 4306 received CUs without any indication for this examination. We found conspicuities in 7.7% (n = 47/610) of group I (n = 30 MC, n = 17 SC), and 3.2% (n = 117/3696) of group II (n = 100 MC, n = 17 SC). In group II, SC comprised, e.g., bilateral cysts, partial agenesis of the corpus callosum, and periventricular leukomalacia. Follow-up was available in 75% of infants in group II with MCs and SCs; of these, 12.8% had an abnormal neurological follow-up. CONCLUSIONS: We detected a high number of conspicuities in neonates without a CU indication. However, we could not demonstrate that ultrasound findings were associated with the neurological follow-up or any advantage to an earlier diagnosis. Our data did not support extending current guidelines or a general CU screening policy for all neonates.

Evaluation of neonatal and maternal morbidity in mothers with gestational diabetes: a population-based study.

BACKGROUND: Gestational diabetes mellitus (GDM) is the most frequent complication during pregnancy. Untreated GDM is a severe threat to maternal and neonatal health. Based on recent evidence, up to 15% of all pregnancies may be affected by GDM. We hypothesized that in a rural birth cohort, higher maternal BMI and adverse socioeconomic conditions would promote GDM, which in turn would lead to adverse effects on pregnancy outcomes. METHODS: The current study is a part of a population-based cohort study examining the health and socioeconomic information from 5801 mothers and their children. The study, titled the Survey of Neonates in Pomerania (SNiP), was based in northeastern Pomerania, Germany (2002-2008). RESULTS: The cumulative incidence of GDM was 5.1%. Multiple logistic regression revealed prepregnancy overweight (OR 1.84 (95% CI 1.27-2.68)), prepregnancy obesity (OR 3.67 (2.48-5.44)) and maternal age (OR 1.06 (1.03-1.08)) as risk factors for GDM (p = 0.001). Alcohol use during pregnancy (OR 0.61 (0.41-0.90), a higher monthly income (OR 0.62 (0.46-0.83)), and the highest level of education (OR 0.44 (0.46-0.83)) decreased the risk of GDM. Newborns of GDM mothers had an increased risk of hypoglycaemia (OR 11.71 (7.49-18.30)) or macrosomia (OR 2.43 (1.41-4.18)) and were more often delivered by primary (OR 1.76 (1.21-2.60)) or secondary C-section (OR 2.00 (1.35-2.97)). Moreover, they were born 0.78 weeks (95% CI -1.09 - -0.48 weeks) earlier than infants of mothers without diabetes, resulting in higher percentage of late preterm infants with a gestational age of 32-36 weeks (11.1% vs. 6.96%). CONCLUSIONS: Age and BMI before pregnancy were the predominant mediators of the increased risk of GDM, whereas a higher income and educational level were protective. GDM affected relevant perinatal and neonatal outcomes based on its association with an increased risk of delivery by C-section, preterm birth, macrosomia at birth and neonatal hypoglycaemia.