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Objective Whether specific combinations of risk factors in very early life might allow identification of high-risk target groups for overweight prevention programs was examined. Design and Methods Data of n = 8981 children from the German KiGGS study were analyzed. Using a classification tree approach, predictive risk factor combinations were assessed for overweight in 3–6, 7–10, and 11–17-year-old children. Results In preschool children, the subgroup with the highest overweight risk were migrant children with at least one obese parent, with a prevalence of 36.6 (95% confidence interval or CI: 22.9, 50.4)%, compared to an overall prevalence of 10.0 (8.9, 11.2)%. The prevalence of overweight increased from 18.3 (16.8, 19.8)% to 57.9 (46.6, 69.3)% in 7–10-year-old children, if at least one parent was obese and the child had been born large-for-gestational-age. In 11–17-year-olds, the overweight risk increased from 20.1 (18.9, 21.3)% to 63.0 (46.4, 79.7)% in the highest risk group. However, high prevalence ratios were found only in small subgroups, containing

Diabet. Med. 29, 378–384 (2012) Abstract Background While the association of gestational diabetes mellitus and abnormal glucose tolerance is beyond doubt, its associations with other cardiovascular disease risk factors in the offspring are less clearly established. Some of these associations, in particular overweight in the offspring, might be confounded by maternal overweight. Methods Data on 12 542 children in the age of 3–17 years with full information about gestational diabetes mellitus and maternal BMI were available from the German nationwide KiGGS study. We calculated linear and logistic regression models for measurements of body composition, blood pressure, HbA1c and cholesterol values in the offspring with gestational diabetes mellitus as the explanatory variable, with and without adjustment for maternal BMI. Results The prevalence of gestational diabetes mellitus in the dataset was 2.2%. Unadjusted regression analyses suggested weak positive effects of gestational diabetes mellitus on body composition measurements [e.g. a mean increase in BMI standard deviation scores (SDS) of 0.17 units (95% confidence interval: 0.03, 0.30)]. After adjustment for maternal BMI, the observed associations almost disappeared [e.g. BMI SDS: 0.07 (−0.06, 0.20)]. With respect to blood pressure and cholesterol, no potential effects of gestational diabetes mellitus were observed in both unadjusted and adjusted models. Conclusion Gestational diabetes mellitus does not appear to have a relevant effect on cardiovascular disease correlates such as blood pressure or cholesterol levels in children, and the potential effect of gestational diabetes mellitus on body composition seems to be widely explainable by maternal BMI.

Aim: To present valid head circumference (HC) percentiles from early infancy to 18 years and to compare them with percentiles currently used in Germany by Prader, as well as to international WHO and CDC references. Methods: Nationally representative sample of 17,158 children and adolescents aged 0.25–17.98 years (KiGGS study 2003–2006) with standardized HC measurement. HC references were created using Cole’s LMS method. Results: The median growth of HC is largest in the first year of life. Adult HC is reached at age 16 years in girls, while in boys, HC growth continues through age 17 years and adult HC have to be derived from future KiGGS follow-up examinations. KiGGS percentiles are quite similar from early infancy to early school age compared to older Prader references, but higher thereafter (maximum difference of median HC: girls 1.4 cm, boys 0.9 cm). KiGGS percentiles are also higher than WHO and CDC percentiles over most of the compared age range, but differences are less pronounced compared to Prader. Conclusion: The KiGGS HC references presented here for boys and girls aged 4 months through 17 years are more valid than currently used German references. Because of the similarity of KiGGS and the currently used reference by Prader in early infancy, the currently used Prader reference for 0–4 months could complement KiGGS to cover the entire age range from birth to the end of adolescence.

To evaluate risk factors for lung cancer in nonsmoking women, we used data of a case-control study conducted between 1991 and 1996 in Germany. A total of 234 female histologically confirmed lung cancer patients and 535 population controls who had never smoked more than 400 cigarettes in their lifetime were personally interviewed with respect to occupation, exposure to environmental tobacco smoke (ETS), family history of cancer, prior physician-diagnosed lung diseases or cancer and diet. One-year radon measurements in the last dwelling were performed. Odds ratios (OR) adjusted for age and region and 95% confidence intervals (CI) were calculated via logistic regression. When cumulative duration of exposure to ETS in hours was considered, the OR for high compared to not or low ETS exposed women was 2.62 (CI:1.35-5.06) for occupational exposure and OR=1.67 (CI:0.86-3.25) for spousal exposure, exhibiting a significant trend for ETS at work. Working more than 10 years in jobs or industries with known or suspected lung carcinogens was associated with OR=2.0 (CI:0.99-4.0). An elevated risk due to prior lung diseases was present for pneumonia (OR=1.6; CI:1.07-2.40) and tuberculosis (OR=1.6; CI:0.77-3.37). No significant increase in risk with increasing residential radon levels or with the presence of a family history of lung cancer was apparent. Protective effects were observed for high vs. low consumption of fresh vegetables (OR=0.5; CI:0.25-0.82) and cheese (OR=0.3, CI:0.21-0.55). ETS at work, occupational hazards and previous pneumonia may be risk factors for lung cancer in nonsmoking women, while a diet rich in fresh vegetables and cheese seems to be protective.