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The ralationship between early mother-infant interaction at 3 mo old, biological and psychosocial risks, and later social withdrawal was examined using a hierarchical logistics regression approach. A group of childeren (N=20; aged 4.5-8 yrs old) who were stabily socially withdrawn and a control group of healthy children (N=143) were formed. Variables were entered into the regression models in the follwing order: At first, biological and psychosocial risks and sex, followed by mother and child variables separately, while in a final regression model all of the variables were entered at once. The results show that child behaviors (smilling and gazing) as well as maternal behaviors (facial and motor responsiveness) significantly predict social withdrawal in middle childhood. Among the risks only biolgical risks significantly contribute to later child outcome. These results suggest that a dysfunctional interaction pattern between mother and infant may be a precursor of childhood social withdrawal.
The psycho-social development of both preterm and term children (n=347) whose mothers reported tocolytic treatment was assessed at the ages of 2, 4.5, 8 years. Term children exposed to tocolysis showed a higher rate of psychiatric disorders as well as poorer cognitive and motor performance than controls. In the preterm children no adverse impact of tocolysis could be found. The results are discussed concerning possible ways in which tocolytic treatment may influence child development. Restrictions because of the preliminary character of this study and the need of further prospective studies to clarify the developmental impact of tocolysis are also considered.
In crop modeling and yield predictions, the heterogeneity of agricultural landscapes is usually not accounted for. This heterogeneity often arises from landscape elements like forests, hedges, or single trees and shrubs that cast shadows. Shading from forested areas or shrubs has effects on transpiration, temperature, and soil moisture, all of which affect the crop yield in the adjacent arable land. Transitional gradients of solar irradiance can be described as a function of the distance to the zero line (edge), the cardinal direction, and the height of trees. The magnitude of yield reduction in transition zones is highly influenced by solar irradiance-a factor that is not yet implemented in crop growth models on a landscape level. We present a spatially explicit model for shading caused by forested areas, in agricultural landscapes. With increasing distance to forest, solar irradiance and yield increase. Our model predicts that the shading effect from the forested areas occurs up to 15 m from the forest edge, for the simulated wheat yields, and up to 30 m, for simulated maize. Moreover, we estimated the spatial extent of transition zones, to calculate the regional yield reduction caused by shading of the forest edges, which amounted to 5% to 8% in an exemplary region.