The impact of early life stress on risk of tobacco smoking initiation by adolescents.

AIMS: Our study aimed to examine the association between early life stress and early initiation of alcohol and tobacco use. DESIGN: This prospective cohort study of women and children belongs to the Ukrainian component of the European Longitudinal Study of Pregnancy and Childhood. SETTING: Dniprodzerzhynsk, a city of some 250,000 inhabitants in south central Ukraine. PARTICIPANTS: All 4398 women who visited antenatal clinics between December 25, 1992 and July 23, 1994, planned to continue their pregnancy, and were permanent residents of the city were invited to participate. Of the 4398 invitees, 2148 agreed and 1020 of the mother-child pairs were available for complete follow-up until the children were 16 years old. MEASUREMENTS: When study children reached ages 3 and 7, their mothers completed questionnaires about their children's exposure to and impact from a standard list of recent stressful life events. From the data on event prevalence and severity, we assigned each child to low, medium, or high early life stress. When the children became age 16, they completed questionnaires about their history of smoking and drinking. FINDINGS: In multivariate analysis that controlled for current level of family income, current family type, current school type, year of child's birth, lifetime smoking and current drinking by mother, and education of mother and father, girls with high stress at age 3 had 2.2 times (95% confidence interval: 1.23-4.08) higher odds than girls with low stress to start smoking early. CONCLUSIONS: Our study may be the first to use a longitudinal study design to examine early life stress as a risk factor for early smoking initiation in adolescence.

Social-environmental factors associated with elevated body mass index in a Ukrainian cohort of children.

BACKGROUND: While obesity is a growing epidemic in most developed countries, we still lack information on countries in economic transition. In this study, we evaluate the built environment, activity levels, economic status and dietary patterns associated with body mass index (BMI) greater than or equal to the 85th percentile among 3-year-old Ukrainian children living through the downturn in the economy during the mid-1990s. METHODS: We evaluated 883 3-year-old children from the Ukraine ELSPAC cohort. Principal components analysis was used as a data reduction tool for dietary, built environment and activity variables. We evaluated predictors of elevated BMI (> or = 85th percentile) using a multivariable logistic regression model. RESULTS: The final multivariable model showed that for every kilogram increase in the mother's weight, there was a corresponding 2% increase in risk of a child having a BMI> or = 85th percentile (OR=1.02; 95% CI: 1.00-1.04). A higher social class and a friendly neighborhood were associated with higher BMI, whereas infrequent outings to places that require spending money was associated with lower BMI. Except for meat consumption, none of the dietary variables were associated with elevated BMI. DISCUSSION: The picture in the Ukraine during the 1990s, a period of economic hardship, revealed that variables associated with higher standards of living were predictive of elevated BMI: higher social class, meat consumption and friendly neighborhoods. Variables associated with economic isolation were predictive of a lower risk of elevated BMI.

Anthropometric, environmental, and dietary predictors of elevated blood cadmium levels in Ukrainian children: Ukraine ELSPAC group.

No comprehensive data on sources or risk factors of cadmium exposure in Ukrainian children are available. In this we measured the blood levels of cadmium among 80 Ukrainian children and evaluated sources of exposure. A nested case-control study from a prospective cohort of Ukrainian 3-year-old children was conducted. We evaluated predictors of elevated blood cadmium using a multivariable logistic regression model. The model included socioeconomic data, parent occupation, environmental tobacco smoke, hygiene, body-mass index, and diet. Dietary habits were evaluated using the 1992 Block-NCI-HHHQ Dietary Food Frequency survey. Elevated cadmium was defined as blood levels in the upper quartile (0.25 microg/L). The mean age for all 80 children was 36.6 months. Geometric mean cadmium level was 0.21 microg/L (range = 0.11-0.42 microg/L; SD = 0.05). Blood cadmium levels were higher among children taking zinc supplements (0.25 vs 0.21 microg/L; P = 0.032), children who ate sausage more than once per week (0.23 vs 0.20; P = 0.007) and children whose fathers worked in a by-product coking industry (0.25 vs 0.21; P = 0.056). In the multivariable model, predictors of elevated blood cadmium levels included zinc supplementation (adjusted OR = 14.16; P < 0.01), father working in a by-product coking industry (adjusted OR = 8.50; P = 0.03), and low body mass index (<14.5; adjusted OR = 5.67; P = 0.03). This is the first study to indicate a strong association between elevated blood cadmium levels and zinc supplementation in young children. Whole-blood cadmium levels observed in this group of Ukrainian children appear to be similar to those reported in other Eastern European countries.