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Aim: A balanced diet is important for health and well-being. The aim of this study was to investigate dietary intake and physical activity in German university students. Subjects and methods: A cross-sectional nutrition study was conducted at the University of Education, Schwäbisch Gmünd (Germany). Food consumption (3-day estimated dietary record) and physical activity level (PAL, standardized questionnaire) were assessed in 329 female (f) (age 22.7±3.4 years) and 60 male (m) students (age 24.0±3.1 years) and compared with recommendations (one-sample t-test, α = 0.05). Results: On average, students consumed less vegetables (f: 177±119, m: 152±163 g/day), fruit (f: 169±117, m: 146±158 g/day), and potatoes/grain products (f: 303±126, m: 362±163 g/day) than recommended. Meat consumption was too high in men (1155±651 g/week), but not in women (490±455 g/week). The consumption of milk/dairy products was slightly too low in women (190±129 g/day), but in the recommended range for men (279±253 g/day). Nutrient recommendations were almost achieved (exceptions: fiber, vitamin D and folate [f, m], fat, iron and vitamin E [f], carbohydrate [m]). Leisure time physical activity was 259±222 min/week (f) and 359±236 min/week (m), and PAL was 1.60±0.11 (f) and 1.65±0.12 (m). Conclusions: Dietary intake and physical activity in university students is roughly equivalent to that in the average German population and needs to be improved. [ABSTRACT FROM AUTHOR]

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Aim: Identifying risk factors for low bone stiffness index (SI) might be one crucial strategy for osteoporosis prevention. Purpose was to characterize healthy schoolchildren across tertiles of SI. Subject and methods: In 248 girls (13.4 ± 1.9 years, BMI: 20.2 ± 4.8 kg/m2) and 231 boys (13.6 ± 1.7 years, BMI: 19.3 ± 3.3 kg/m2), the following parameters were assessed: calcaneal SI (quantitative ultrasound), body composition (bioelectrical impedance analysis), Bone Healthy Eating Index (BoneHEI; food frequency questionnaire), and physical activity level (PAL; activity questionnaire). Participants were classified according to age- and sex-specific SI tertiles (low, medium, and high). Between-group comparisons were achieved by Kruskal–Wallis-H-tests (α = 0.05). Results: Girls with low SI had significantly lower body mass (49.2 ± 16.7 vs 54.8 ± 12.2 kg; p < 0.01), BMI (19.6 ± 5.4 vs 21.3 ± 3.9 kg/m2; p < 0.0001), fat-free mass (36.3 ± 8.3 vs 39.5 ± 6.0 kg; p < 0.01), and fat mass (23.7 ± 9.1 vs 26.8 ± 7.2%; p < 0.05) compared to those with high SI. In boys, significant differences between low and high SI were obtained for PAL (1.49 ± 0.12 vs 1.56 ± 0.14; p < 0.01). BoneHEI was not significantly different between tertiles in both sexes. Conclusion: Girls with low body mass and boys with low PAL have a higher risk for low SI. Schoolchildren should strive for normal body mass and perform regular physical activity. [ABSTRACT FROM AUTHOR]

Summary. Background: The oxidative modification of LDL is considered to play a central role in the pathogenesis of atherosclerosis and coronary heart disease (CHD). Paraoxonase (PON1) protects LDL from oxidation and may therefore retard the developement of atherosclerosis. The PON1–192 polymorphism is associated with diminished PON1 concentrations and an increased risk for CHD in RR-allele subjects. Aim of the study: To investigate the effect of tomato juice consumption on PON1 activity and other parameters related to oxidative stress in healthy elderly subjects. Furthermore, the PON1–192 genotype has been determined in the volunteers in order to see whether possible treatment effects are related to the PON1–192 polymorphism. Methods: Fifty elderly subjects were randomly assigned to control (mineral water) or intervention group (tomato juice). Subjects of the tomato juice group consumed daily 330 mL tomato juice for 8 weeks. Antioxidant status was measured as LDL oxidation, plasma malondialdehyde, ferric reducing ability of plasma (FRAP) and PON1 activity. The PON1–192 polymorphism was determined by restriction fragment length polymorphism polymerase chain reaction (RFLP-PCR). Plasma carotenoids were analyzed by HPLC. Results: Tomato juice consumption reduced LDL-oxidation and improved antioxidant status in R-allele carriers, but not in the QQ genotype group. PON1 activity increased irrespective of the genotype in both, control and intervention group. Conclusions: The changes in antioxidant status after tomato juice consumption seem to depend on the PON1–192 genotype. Healthy elderly, carrying the R-allele, could specificly reduce their higher cardiovascular risk by changing dietary habits. [ABSTRACT FROM AUTHOR]

Summary Background Equations published in the literature for predicting resting metabolic rate (RMR) in older individuals were exclusively derived from studies with small samples of this age group. Aim of the present investigation was therefore to compare the measured RMR of a relatively large group of older females and males with values for RMR calculated from the most commonly used WHO [1] equations. Furthermore, on the basis of the data collected by our study group a new equation for calculating RMR in the elderly was to be developed. Variables used in this equation should be easily and exactly determinable in practice. Subjects and methods RMR was measured by indirect calorimetry after an overnight fast in a sample of 179 female (age 67.8 ± 5.7 y, BMI 26.4 ± 3.7 kg/m[sup 2] ) and 107 male (age 66.9 ± 5.1 y, BMI 26.3 ± 3.1 kg/m[sup 2] ) participants in the longitudinal study on nutrition and health status in an aging population of Giessen, Germany. The subjects were at least 60 years old, did not suffer from thyroid dysfunction, and were not taking thyroid hormones. Stepwise multiple linear regression analysis was used to estimate the best predictors of RMR. Results In females there was no significant difference between our measured RMR (5504 ± 653 kJ/d) and RMR predicted with the WHO [1] equation (5458 ± 440 kJ/d), whereas in males measured RMR (6831 ± 779 kJ/d) was significantly higher than calculated RMR (6490 ± 550 kJ/d). Results of regression analysis, considering body weight, body height, age, and sex, showed that RMR is best calculated by the following equation: RMR [kJ/d]= 3169 + 50.0 · body weight [kg] - 15.3 · age [y] + 746 · sex [female = 0, male = 1]. The variables of this equation accounted for 74 % (R[sup 2] ) of the variance in RMR and predicted RMR within ± 486 kJ/d (SEE). Conclusion On the basis of the data determined in a large group of older individuals, we offer a new equation... [ABSTRACT FROM AUTHOR]