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Patterns and correlates of maternal smoking could differ according to ethnic background, and these differences might have consequences for intervention strategies. In the Generation R study, we examined patterns of smoking during pregnancy and the associations of socioeconomic (educational level), demographic (maternal age, marital status, generational status, parity) and lifestyle (alcohol consumption, partner smoking) correlates with smoking during pregnancy in 5,748 women of Dutch, Turkish, Moroccan, Surinamese-Hindustani, Surinamese-Creole, Capeverdean and Antillean ethnic background. Smoking rates before pregnancy were highest in the Turkish group (43.7%) and lowest in the Moroccan group (7.0%). Compared with Dutch women (24.1%), Turkish and Moroccan women were less likely to quit smoking before pregnancy (17.0% and 5.9%, respectively; p<.001). Turkish and Moroccan women (72.0% and 70.6%, respectively) were more likely to continue smoking during pregnancy compared to Dutch women (58.6%, p<.001). Lower education was associated with smoking during pregnancy only in the Dutch group. No significant association of education with smoking was seen in the non-Dutch groups. Second-generation (i.e., foreign-born) Turkish and Capeverdean women were more likely to smoke during pregnancy compared with first-generation women. Partner smoking was associated with smoking during pregnancy in all ethnic groups except for Surinamese-Creole and Antillean. Maternal alcohol consumption was associated with smoking during pregnancy in all ethnic groups except for Capeverdean. Smoking rates and correlates of smoking during pregnancy varied by ethnic background. These observations should be considered when designing maternal smoking prevention and intervention strategies.

The objective of this study was to examine the associations between active and passive smoking in different periods of pregnancy and changing smoking habits during pregnancy, with low birthweight and preterm birth. The study was embedded in the Generation R Study, a population-based prospective cohort study from early fetal life onwards in Rotterdam, The Netherlands. Active and passive smoking were assessed by questionnaires in early, mid- and late pregnancy. Analyses were based on 7098 pregnant women and their children. Active smoking until pregnancy was ascertained and was not associated with low birthweight and preterm birth. Continued active smoking after pregnancy was also recorded and was associated with low birthweight (adjusted odds ratio 1.75 [95% CI 1.20, 2.56]) and preterm birth (adjusted odds ratio 1.36 [95% CI 1.04, 1.78]). The strongest associations were found for active maternal smoking in late pregnancy. Passive maternal smoking in late pregnancy was associated with continuously measured birthweight (P for trend <0.001). For all active smoking categories in early pregnancy, quitting smoking was associated with a higher birthweight than continuing to smoke. Tendencies towards smaller non-significant beneficial effects on mean birthweight were found for reducing the number of cigarettes without quitting completely. This study shows that active and passive smoking in late pregnancy are associated with adverse effects on weight and gestational age at birth. Smoking in early pregnancy only, seems not to affect fetal growth adversely. Health care strategies for pregnant women should be aimed at quitting smoking completely rather than reducing the number of cigarettes.

Objective: To examine whether differences in birthweight of various ethnic groups residing in The Netherlands can be explained by determinants of birthweight., Design: Population-based birth cohort study., Setting: Data of pregnant women and their partners in Rotterdam, The Netherlands., Population: We examined data of 6044 pregnant women with a Dutch, Moroccan, Turkish, Capeverdean, Antillean, Surinamese-Creole, Surinamese-Hindustani and Surinamese-other ethnic background., Methods: Regression analyses were used to assess the impact of biomedical, socio-demographic and lifestyle-related determinants on birthweight differences., Main Outcome Measure: Birthweight was established immediately after delivery in grams., Results: Compared with mean birthweight of offspring of Dutch women (3485 g, SD 555), the mean birthweight was lower in all non-Dutch populations, except in Moroccans. Differences ranged from an 88-g lower birthweight in offspring of the Turkish women to a 424-g lower birthweight in offspring of Surinamese-Hindustani women. Differences in gestational age, maternal and paternal height largely explained the lower birthweight in the Turkish, Antillean, Surinamese-Creole and Surinamese-other populations. Differences in birthweight between the Dutch and the Capeverdean and Surinamese-Hindustani populations could only partly be explained by the studied determinants., Conclusions: These results confirm significant differences in birthweight between ethnic populations that can only partly be understood from established determinants of birthweight. The part that is understood points to the importance of determinants that cannot easily be modified, such as parental height. Further study is necessary to obtain a fuller understanding.

Background: Migrant populations consist of migrants with differences in generational status and length of residence. Several studies suggest that health outcomes differ by generational status and duration of residence. We examined the association of generational status and age at immigration of the mother with infant mortality in migrant populations in The Netherlands., Methods: Data from Statistics Netherlands were obtained from 1995 through 2000 for infants of mothers with Dutch, Turkish and Surinamese ethnicity. Mothers were categorized by generational status (Dutch-born and foreign-born) and by age at immigration (0-16 and >16 years). The associations of generational status and age at immigration of the mother with total and cause-specific infant mortality were examined., Results: The infant mortality rate in Turkish mothers rose with lower age at immigration (from 5.5 to 6.4 per 1000) and was highest for Dutch-born Turkish mothers (6.8 per 1000). Infant death from perinatal and congenital causes increased with lower age at immigration and was highest in the Dutch-born Turkish women. In contrast, in Surinamese mothers infant mortality declined with lower age at immigration (from 8.0 to 6.3 per 1000) and was lowest for Dutch-born Surinamese mothers (5.5 per 1000). Generational status and lower age at immigration of Surinamese women were associated with declining mortality of congenital causes., Conclusions: Total and cause-specific infant mortality seem to differ according to generational status and age at immigration of the mother. The direction of these trends however differs between ethnic populations. This may be related to acculturation and selective migration.

We examined ethnic differences in infant mortality and the contribution of several explanatory variables. Data of Statistics Netherlands from 1995 to 2000 were studied (1,178,949 live borns). Proportional hazard analysis was used to show ethnic differences in total and cause-specific infant mortality. Obstetric, demographic and -geographical variables, and socio-economic status were considered as possible determinants. The four major ethnic minority groups showed an elevated risk of infant mortality, ranging from 1.28 in Turkish infants to 1.50 in Antillean/Aruban infants. In the early neonatal period, risks were elevated for Surinamese (hazard ratio [HR] 1.48, 95% confidence intervals [CI] 1.23, 1.78) and Antilleans/Arubans (HR 1.43, 95% CI 1.06, 1.92). In the post-neonatal period, risks were only elevated for Turkish (HR 2.20, 95% CI 1.80, 2.69) and Moroccan infants (HR 2.06, 95% CI 1.67, 2.55). Surinamese and Antillean/Aruban infants had an elevated risk of dying from perinatal causes (HR 1.62, 95% CI 1.33, 1.98 and 1.69, 95% CI 1.24, 2.29 respectively), Turkish and Moroccan infants had an elevated risk of dying from congenital anomalies (HR 1.42, 95% CI 1.16, 1.73 and 1.46, 95% CI 1.20, 1.79 respectively). Inequalities as a result of socio-economic position and demographic factors, such as marital status and maternal age, partially explain the ethnic differences in infant mortality. We conclude that ethnic minority groups in The Netherlands have a higher infant mortality than the native population, which in part seems preventable by reducing inequalities in socio-economic status. Marital status and age of the mother are important other risk factors of infant mortality.