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Background:The current study aimed at describing influencing factors for physical activity among young children to determine the best approaches for developing the IDEFICS community based intervention.Methods:In 8 European sites a trained moderator conducted a minimum of 4 focus groups using standardized questioning guides. A total of 56 focus groups were conducted including 36 focus groups with parents and 20 focus groups with children, of which 74 were boys and 81 girls. Key findings were identified through independent reviews of focus group summary reports using content analysis methods.Findings:Findings were generally consistent across countries. The greatest emphasis was on environmental physical (eg, seasonal influences, availability of facilities and safety), institutional (eg, length of breaks at school), and social factors (eg, role modeling of parents). Most cited personal factors by parents were age, social economical status, and perceived barriers. Both children and parents mentioned the importance of children’s preferences.Conclusions:To increase physical activity levels of young children the intervention should aim at creating an environment (physical, institutional, social) supportive of physical activity. On the other hand strategies should take into account personal factors like age and social economical status and should consider personal barriers too.

Heterotrimeric guanosine triphosphate (GTP)-binding proteins (G-proteins) couple many different cell surface receptor types to intracellular effector mechanisms. Uncoupling between receptors and G-proteins and between G-proteins and adenylyl cyclase (AC) and phospholipase C (PLC) has been described for Alzheimer's disease (AD) brain. However, there is little information on whether altered G-protein signaling in AD is just an end-stage phenomenon or is important for the progression of disease pathology. Here we used [(35)S]GTPgammaS autoradiography to study G-protein distribution in sections of entorhinal cortex and hippocampus from 23 cases staged for neurofibrillary changes and amyloid deposits according to Braak and Braak (Acta Neuropathol. [1991] 82:239-259). We also studied the effects of GTP, which has been found to increase [(35)S]GTPgammaS binding in an Mg(2+)-dependent manner. Results show that the ability of GTP (3 microM) to stimulate [(35)S]GTPgammaS binding declined significantly with staging for neurofibrillary changes in the entorhinal cortex (P < 0.05, ANOVA) and CA1 subfield of the hippocampus (P < 0.05, ANOVA). No significant changes were seen for [(35)S]GTPgammaS binding in the absence of GTP. Our results suggest a decrease in G-protein GTP hydrolysis, which correlates with the progression of AD neurofibrillary changes, in the regions most affected by this pathology. These alterations appear to occur prior to stages corresponding to clinical disease and could lead to an impaired regulation of several signaling systems in AD brain.

Background: Diet and physical activity are important factors in the prevention of childhood overweight. This article stresses the importance of effective communication for health behavior. Methods: Transcription, description and analysis of standardized focus group discussions (FGD) in seven European countries using standardized questioning routes. Results: Parents are well informed about health-related topics for children, but seem to have difficulties understanding their role in promoting healthy behavior. They mentioned health-related rules, but our results show limited communication between parents and children, and no follow-up of rules. Consequently, children do not understand rules about good health and do not follow them. Conclusion: Effective and sustainable intervention programs should focus on educational methods and, using parental role modeling, facilitate parents' comprehension of their key role in setting rules and controlling them in order to communicate good health behavior to their children.

It is likely that neuronal loss occurs in certain brain regions in Alzheimer's Disease (AD) without any neurofibrillary pathology. In the human principle inferior olivary nucleus (PO), we have shown that neuronal loss is about 34% (Lasn et al. Journal of Alzheimer Disease, 2001; 3: 159–168), but the fate of the neuroglial cells is unknown. Since the unique network of neurons and neuroglial cells and their cohabitation are essential for normal functioning of CNS, we designed a study to estimate the total number of oligodendrocytes and astrocytes in normally aged and AD brains. The study is based on 10 control and 11 AD post-mortem human brains. An unbiased stereological fractionator method was used. We found significant oligodendroglial cell loss (46%) in AD as compared to control brains, while the total number of astrocytes showed a tendency to decrease. It is likely that the ratio of oligodendroglial cells to neurons remains unchanged even in degenerative states, indicating that oligodendroglial cells parallel neuronal loss. Astroglial cells did not increase in total number, but the ratio to neurons was significantly increased due to the neuronal loss. Using a novel unbiased quantitative method, we were able to describe significant oligodendroglial loss in the PO but the pathogenic mechanism behind remains unknown.

The nuclei of the olivary complex are involved in regulating motor movements and in motor learning. Aging is characterized by a progressive accumulation of lipofuscin while the number of olivary neurons is unchanged. It is not known whether neuronal loss occurs in the olivary nucleus during Alzheimer's disease (AD). The aim of this study was to estimate the total number of neurons in the principal olivary nucleus (PO) in AD and control brains using an optimized design for sampling and an unbiased stereological method called the optical fractionator. This study was based on 13 control (mean age =57 y, range 17-95 y) and 16 AD brains (mean age = 86 y, range 67-93 y). Using paraffin-embedded, Nissl-stained sections for quantification, we found a significant difference between the mean values (mean+/-SD) of the AD group vs. aged-matched controls (4.3x10^5+/-1.1 vs. 6.53x10^5+/-1.39 p